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Bump the pip group across 2 directories with 9 updates #65

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Bump the pip group across 2 directories with 9 updates #65

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@dependabot dependabot bot commented on behalf of github Apr 10, 2024

Bumps the pip group with 9 updates in the / directory:

Package From To
dash 2.3.1 2.15.0
eventlet 0.30.2 0.31.0
flask 2.1.1 2.2.5
numpy 1.21.5 1.22.0
setuptools 61.2.0 65.5.1
torch 1.9.0 1.13.1
transformers 4.21.0 4.38.0
werkzeug 2.1.1 2.3.8
gevent 22.10.2 23.9.0

Bumps the pip group with 3 updates in the /external_apps/webex_bot directory: numpy, torch and transformers.

Updates dash from 2.3.1 to 2.15.0

Release notes

Sourced from dash's releases.

Dash v2.15.0

Added

  • #2695 Adds triggered_id to dash_clientside.callback_context. Fixes #2692
  • #2723 Improve dcc Slider/RangeSlider tooltips. Fixes #1846
    • Add tooltip.template a string for the format template, {value} will be formatted with the actual value.
    • Add tooltip.style a style object to give to the div of the tooltip.
    • Add tooltip.transform a reference to a function in the window.dccFunctions namespace.
  • #2732 Add special key _dash_error to setProps, allowing component developers to send error without throwing in render. Usage props.setProps({_dash_error: new Error("custom error")})

Fixed

  • #2732 Sanitize html props that are vulnerable to xss vulnerability if user data is inserted. Fix Validate url to prevent XSS attacks #2729

Changed

  • #2652 dcc.Clipboard supports htm_content and triggers a copy to clipboard when n_clicks are changed
  • #2721 Remove ansi2html, fixes #2613

Dash v2.14.2

Fixed

  • #2700 Fix _allow_dynamic_callbacks for newly-added components.

Dash v2.14.1

Fixed

  • #2672 Fix get_caller_name in case the source is not available.

Changed

  • #2674 Raise flask & werkzeug limits to <3.1

Dash v2.14.0

Fixed

  • #2634 Fix deprecation warning on pkg_resources, fix #2631

Changed

  • #2635 Get proper app module name, remove need to give __name__ to Dash constructor.

Added

  • #2647 routing_callback_inputs allowing to pass more Input and/or State arguments to the pages routing callback
  • #2649 Add _allow_dynamic_callbacks, register new callbacks inside other callbacks. WARNING: dynamic callback creation can be dangerous, use at you own risk. It is not intended for use in a production app, multi-user or multiprocess use as it only works for a single user.

Dash v2.13.0

Changed

  • #2610 Load plotly.js bundle/version from plotly.py

... (truncated)

Changelog

Sourced from dash's changelog.

[2.15.0] - 2024-01-31

Added

  • #2695 Adds triggered_id to dash_clientside.callback_context. Fixes #2692
  • #2723 Improve dcc Slider/RangeSlider tooltips. Fixes #1846
    • Add tooltip.template a string for the format template, {value} will be formatted with the actual value.
    • Add tooltip.style a style object to give to the div of the tooltip.
    • Add tooltip.transform a reference to a function in the window.dccFunctions namespace.
  • #2732 Add special key _dash_error to setProps, allowing component developers to send error without throwing in render. Usage props.setProps({_dash_error: new Error("custom error")})

Fixed

  • #2732 Sanitize html props that are vulnerable to xss vulnerability if user data is inserted. Fix Validate url to prevent XSS attacks #2729

Changed

  • #2652 dcc.Clipboard supports htm_content and triggers a copy to clipboard when n_clicks are changed
  • #2721 Remove ansi2html, fixes #2613

[2.14.2] - 2023-11-27

Fixed

  • #2700 Fix _allow_dynamic_callbacks for newly-added components.

[2.14.1] - 2023-10-26

Fixed

  • #2672 Fix get_caller_name in case the source is not available.

Changed

  • #2674 Raise flask & werkzeug limits to <3.1

[2.14.0] - 2023-10-11

Fixed

  • #2634 Fix deprecation warning on pkg_resources, fix #2631

Changed

  • #2635 Get proper app module name, remove need to give __name__ to Dash constructor.

Added

  • #2647 routing_callback_inputs allowing to pass more Input and/or State arguments to the pages routing callback
  • #2649 Add _allow_dynamic_callbacks, register new callbacks inside other callbacks. WARNING: dynamic callback creation can be dangerous, use at you own risk. It is not intended for use in a production app, multi-user or multiprocess use as it only works for a single user.

... (truncated)

Commits

Updates eventlet from 0.30.2 to 0.31.0

Changelog

Sourced from eventlet's changelog.

0.31.0

0.30.3

  • wsgi: websocket ALREADY_HANDLED flag on corolocal
  • green.ssl: Set suppress_ragged_eofs default based on SSLSocket defaults
  • greenio: socket.connect_ex returned None instead of 0 on success
  • Use _imp instead of deprecated imp
Commits
  • f717f38 v0.31.0 release
  • 1412f5e websocket: Limit maximum uncompressed frame length to 8MiB
  • b0be94e v0.30.3 release
  • df0bc00 wsgi: websocket ALREADY_HANDLED flag on corolocal
  • 377b4fb green.ssl: Set suppress_ragged_eofs default based on SSLSocket defaults
  • 71b76bf Security Policy
  • 50441fc greenio: socket.connect_ex returned None instead of 0 on success
  • e16fcab Use _imp instead of deprecated imp
  • See full diff in compare view

Updates flask from 2.1.1 to 2.2.5

Release notes

Sourced from flask's releases.

2.2.5

This is a security fix release for the 2.2.x release branch. Note that 2.3.x is the currently supported release branch; please upgrade to the latest version if possible.

2.2.4

This is a fix release for the 2.2.x release branch.

2.2.3

This is a fix release for the 2.2.x release branch.

2.2.2

This is a fix release for the 2.2.0 feature release.

2.2.1

This is a fix release for the 2.2.0 feature release.

2.2.0

This is a feature release, which includes new features and removes previously deprecated code. The 2.2.x branch is now the supported bug fix branch, the 2.1.x branch will become a tag marking the end of support for that branch. We encourage everyone to upgrade, and to use a tool such as pip-tools to pin all dependencies and control upgrades.

2.1.3

2.1.2

This is a fix release for the 2.1.0 feature release.

Changelog

Sourced from flask's changelog.

Version 2.2.5

Released 2023-05-02

  • Update for compatibility with Werkzeug 2.3.3.
  • Set Vary: Cookie header when the session is accessed, modified, or refreshed.

Version 2.2.4

Released 2023-04-25

  • Update for compatibility with Werkzeug 2.3.

Version 2.2.3

Released 2023-02-15

  • Autoescape is enabled by default for .svg template files. :issue:4831
  • Fix the type of template_folder to accept pathlib.Path. :issue:4892
  • Add --debug option to the flask run command. :issue:4777

Version 2.2.2

Released 2022-08-08

  • Update Werkzeug dependency to >= 2.2.2. This includes fixes related to the new faster router, header parsing, and the development server. :pr:4754
  • Fix the default value for app.env to be "production". This attribute remains deprecated. :issue:4740

Version 2.2.1

Released 2022-08-03

  • Setting or accessing json_encoder or json_decoder raises a deprecation warning. :issue:4732

Version 2.2.0

... (truncated)

Commits

Updates numpy from 1.21.5 to 1.22.0

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

  • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
  • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
  • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
  • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
  • A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

Updates setuptools from 61.2.0 to 65.5.1

Release notes

Sourced from setuptools's releases.

v65.5.1

No release notes provided.

v65.5.0

No release notes provided.

v65.4.1

No release notes provided.

v65.4.0

No release notes provided.

v65.3.0

No release notes provided.

v65.2.0

No release notes provided.

v65.1.1

No release notes provided.

v65.1.0

No release notes provided.

v65.0.2

No release notes provided.

v65.0.1

No release notes provided.

v65.0.0

No release notes provided.

v64.0.3

No release notes provided.

v64.0.2

No release notes provided.

v64.0.1

No release notes provided.

v64.0.0

No release notes provided.

v63.4.3

No release notes provided.

v63.4.2

No release notes provided.

... (truncated)

Changelog

Sourced from setuptools's changelog.

v65.5.1

Misc

  • #3638: Drop a test dependency on the mock package, always use :external+python:py:mod:unittest.mock -- by :user:hroncok
  • #3659: Fixed REDoS vector in package_index -- by :user:SCH227

v65.5.0

Changes

  • #3624: Fixed editable install for multi-module/no-package src-layout projects.
  • #3626: Minor refactorings to support distutils using stdlib logging module.

Documentation changes

  • #3419: Updated the example version numbers to be compliant with PEP-440 on the "Specifying Your Project’s Version" page of the user guide.

Misc

  • #3569: Improved information about conflicting entries in the current working directory and editable install (in documentation and as an informational warning).
  • #3576: Updated version of validate_pyproject.

v65.4.1

Misc

v65.4.0

Changes

v65.3.0

... (truncated)

Commits

Updates torch from 1.9.0 to 1.13.1

Release notes

Sourced from torch's releases.

PyTorch 1.13.1 Release, small bug fix release

This release is meant to fix the following issues (regressions / silent correctness):

  • RuntimeError by torch.nn.modules.activation.MultiheadAttention with bias=False and batch_first=True #88669
  • Installation via pip on Amazon Linux 2, regression #88869
  • Installation using poetry on Mac M1, failure #88049
  • Missing masked tensor documentation #89734
  • torch.jit.annotations.parse_type_line is not safe (command injection) #88868
  • Use the Python frame safely in _pythonCallstack #88993
  • Double-backward with full_backward_hook causes RuntimeError #88312
  • Fix logical error in get_default_qat_qconfig #88876
  • Fix cuda/cpu check on NoneType and unit test #88854 and #88970
  • Onnx ATen Fallback for BUILD_CAFFE2=0 for ONNX-only ops #88504
  • Onnx operator_export_type on the new registry #87735
  • torchrun AttributeError caused by file_based_local_timer on Windows #85427

The release tracker should contain all relevant pull requests related to this release as well as links to related issues

PyTorch 1.13: beta versions of functorch and improved support for Apple’s new M1 chips are now available

Pytorch 1.13 Release Notes

  • Highlights
  • Backwards Incompatible Changes
  • New Features
  • Improvements
  • Performance
  • Documentation
  • Developers

Highlights

We are excited to announce the release of PyTorch 1.13! This includes stable versions of BetterTransformer. We deprecated CUDA 10.2 and 11.3 and completed migration of CUDA 11.6 and 11.7. Beta includes improved support for Apple M1 chips and functorch, a library that offers composable vmap (vectorization) and autodiff transforms, being included in-tree with the PyTorch release. This release is composed of over 3,749 commits and 467 contributors since 1.12.1. We want to sincerely thank our dedicated community for your contributions.

Summary:

  • The BetterTransformer feature set supports fastpath execution for common Transformer models during Inference out-of-the-box, without the need to modify the model. Additional improvements include accelerated add+matmul linear algebra kernels for sizes commonly used in Transformer models and Nested Tensors is now enabled by default.

  • Timely deprecating older CUDA versions allows us to proceed with introducing the latest CUDA version as they are introduced by Nvidia®, and hence allows support for C++17 in PyTorch and new NVIDIA Open GPU Kernel Modules.

  • Previously, functorch was released out-of-tree in a separate package. After installing PyTorch, a user will be able to import functorch and use functorch without needing to install another package.

  • PyTorch is offering native builds for Apple® silicon machines that use Apple's new M1 chip as a beta feature, providing improved support across PyTorch's APIs.

Stable Beta Prototype
Better TransformerCUDA 10.2 and 11.3 CI/CD Deprecation Enable Intel® VTune™ Profiler's Instrumentation and Tracing Technology APIsExtend NNC to support channels last and bf16Functorch now in PyTorch Core LibraryBeta Support for M1 devices Arm® Compute Library backend support for AWS Graviton CUDA Sanitizer

You can check the blogpost that shows the new features here.

Backwards Incompatible changes

... (truncated)

Changelog

Sourced from torch's changelog.

Releasing PyTorch

Release Compatibility Matrix

Following is the Release Compatibility Matrix for PyTorch releases:

... (truncated)

Commits

Updates transformers from 4.21.0 to 4.38.0

Release notes

Sourced from transformers's releases.

v4.38: Gemma, Depth Anything, Stable LM; Static Cache, HF Quantizer, AQLM

New model additions

💎 Gemma 💎

Gemma is a new opensource Language Model series from Google AI that comes with a 2B and 7B variant. The release comes with the pre-trained and instruction fine-tuned versions and you can use them via AutoModelForCausalLM, GemmaForCausalLM or pipeline interface!

Read more about it in the Gemma release blogpost: https://hf.co/blog/gemma

from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained("google/gemma-2b", device_map="auto", torch_dtype=torch.float16)
input_text = "Write me a poem about Machine Learning."
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**input_ids)

You can use the model with Flash Attention, SDPA, Static cache and quantization API for further optimizations !

  • Flash Attention 2
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained(
"google/gemma-2b", device_map="auto", torch_dtype=torch.float16, attn_implementation="flash_attention_2"
)
input_text = "Write me a poem about Machine Learning."
input_ids = tokenizer(input_text, return_tensors="pt").to("cuda")
outputs = model.generate(**input_ids)

  • bitsandbytes-4bit
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("google/gemma-2b")
model = AutoModelForCausalLM.from_pretrained(
"google/gemma-2b", device_map="auto", load_in_4bit=True
)
</tr></table>

... (truncated)

Commits
  • 08ab54a [ gemma] Adds support for Gemma 💎 (#29167)
  • 2de9314 [Maskformer] safely get backbone config (#29166)
  • 476957b 🚨 Llama: update rope scaling to match static cache changes (#29143)
  • 7a4bec6 Release: 4.38.0
  • ee3af60 Add support for fine-tuning CLIP-like models using contrastive-image-text exa...
  • 0996a10 Revert low cpu mem tie weights (#29135)
  • 15cfe38 [Core tokenization] add_dummy_prefix_space option to help with latest is...
  • efdd436 FIX [PEFT / Trainer ] Handle better peft + quantized compiled models (#29...
  • 5e95dca [cuda kernels] only compile them when initializing (#29133)
  • a7755d2 Generate: unset GenerationConfig parameters do not raise warning (#29119)
  • Additional commits viewable in compare view

Updates werkzeug from 2.1.1 to 2.3.8

Release notes

Sourced from werkzeug's releases.

2.3.8

This is a security release for the 2.3.x feature branch.

2.3.7

This is a fix release for the 2.3.x feature branch.

2.3.6

This is a fix release for the 2.3.x feature branch.

2.3.5

This is a fix release for the 2.3.x feature branch.

2.3.4

This is a fix release for the 2.3.x release branch.

2.3.3

This is a fix release for the 2.3.x release branch.

2.3.2

This is a fix release for the 2.3.x release branch.

2.3.1

This is a fix release for the 2.3.x release branch.

2.3.0

This is a feature release, which includes new features, removes previously deprecated code, and adds new deprecations. The 2.3.x branch is now the supported fix branch, the 2.2.x branch will become a tag marking the end of support for that branch. We encourage everyone to upgrade, and to use a tool such as pip-tools to pin all dependencies and control upgrades. Test with warnings treated as errors to be able to adapt to deprecation warnings early.

... (truncated)

Changelog

Sourced from werkzeug's changelog.

Version 2.3.8

Released 2023-11-08

  • Fix slow multipart parsing for large parts potentially enabling DoS attacks.

Version 2.3.7

Released 2023-08-14

  • Use flit_core instead of setuptools as build backend.
  • Fix parsing of multipart bodies. :issue:2734
  • Adjust index of last newline in data start. :issue:2761
  • Parsing ints from header values strips spacing first. :issue:2734
  • Fix empty file streaming when testing. :issue:2740
  • Clearer error message when URL rule does not start with slash. :pr:2750
  • Accept q value can be a float without a decimal part. :issue:2751

Version 2.3.6

Released 2023-06-08

  • FileStorage.content_length does not fail if the form data did not provide a value. :issue:2726

Version 2.3.5

Released 2023-06-07

  • Python 3.12 compatibility. :issue:2704
  • Fix handling of invalid base64 values in Authorization.from_header. :issue:2717
  • The debugger escapes the exception message in the page title. :pr:2719
  • When binding routing.Map, a long IDNA server_name with a port does not fail encoding. :issue:2700
  • iri_to_uri shows a deprecation warning instead of an error when passing bytes. :issue:2708
  • When parsing numbers in HTTP request headers such as Content-Length, only ASCII digits are accepted rather than any format that Python's int and float accept. :issue:2716

Version 2.3.4

... (truncated)

Commits

Updates gevent from 22.10.2 to 23.9.0

Commits
  • 693181e Preparing release 23.9.0
  • 6fc7898 Set the cython version; go back to default wheel tags.
  • 666e374 Had the constraint wrong.
  • 74ef876 Tweaking the build, and it seems like the greenlet stack issue should be fixed.
  • b652e2a Error handling adjustments from running under a debug build.
  • 70e7318 Tweaking tests and comments; temporary workarounds for 3.12 to enable builds.
  • 495e37a Workaround the 3.12 traceback issue again.
  • 2f53c85 gevent.pywsgi: Much improved handling of chunk trailers.
  • bb06d2d Test builds with greenlet assertions enabled.
  • 6b22af0 pyproject.toml: Bump to latest cython.
  • Additional commits viewable in compare view

Updates numpy from 1.21.5 to 1.22.0

Release notes

Sourced from numpy's releases.

v1.22.0

NumPy 1.22.0 Release Notes

NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

  • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
  • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
  • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
  • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
  • A new configurable allocator for use by downstream projects.

These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

Expired deprecations

Deprecated numeric style dtype strings have been removed

Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

(gh-19539)

Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

(gh-19615)

... (truncated)

Commits

@dependabot
Bump the pip group across 2 directories with 9 updates
6b2b715 
Bumps the pip group with 9 updates in the / directory:

| Package | From | To |
| --- | --- | --- |
| [dash](https://github.com/plotly/dash) | `2.3.1` | `2.15.0` |
| [eventlet](https://github.com/eventlet/eventlet) | `0.30.2` | `0.31.0` |
| [flask](https://github.com/pallets/flask) | `2.1.1` | `2.2.5` |
| [numpy](https://github.com/numpy/numpy) | `1.21.5` | `1.22.0` |
| [setuptools](https://github.com/pypa/setuptools) | `61.2.0` | `65.5.1` |
| [torch](https://github.com/pytorch/pytorch) | `1.9.0` | `1.13.1` |
| [transformers](https://github.com/huggingface/transformers) | `4.21.0` | `4.38.0` |
| [werkzeug](https://github.com/pallets/werkzeug) | `2.1.1` | `2.3.8` |
| [gevent](https://github.com/gevent/gevent) | `22.10.2` | `23.9.0` |

Bumps the pip group with 3 updates in the /external_apps/webex_bot directory: [numpy](https://github.com/numpy/numpy), [torch](https://github.com/pytorch/pytorch) and [transformers](https://github.com/huggingface/transformers).


Updates `dash` from 2.3.1 to 2.15.0
- [Release notes](https://github.com/plotly/dash/releases)
- [Changelog](https://github.com/plotly/dash/blob/dev/CHANGELOG.md)
- [Commits](plotly/dash@v2.3.1...v2.15.0)

Updates `eventlet` from 0.30.2 to 0.31.0
- [Changelog](https://github.com/eventlet/eventlet/blob/master/NEWS)
- [Commits](eventlet/eventlet@v0.30.2...v0.31.0)

Updates `flask` from 2.1.1 to 2.2.5
- [Release notes](https://github.com/pallets/flask/releases)
- [Changelog](https://github.com/pallets/flask/blob/main/CHANGES.rst)
- [Commits](pallets/flask@2.1.1...2.2.5)

Updates `numpy` from 1.21.5 to 1.22.0
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.21.5...v1.22.0)

Updates `setuptools` from 61.2.0 to 65.5.1
- [Release notes](https://github.com/pypa/setuptools/releases)
- [Changelog](https://github.com/pypa/setuptools/blob/main/NEWS.rst)
- [Commits](pypa/setuptools@v61.2.0...v65.5.1)

Updates `torch` from 1.9.0 to 1.13.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v1.9.0...v1.13.1)

Updates `transformers` from 4.21.0 to 4.38.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.21.0...v4.38.0)

Updates `werkzeug` from 2.1.1 to 2.3.8
- [Release notes](https://github.com/pallets/werkzeug/releases)
- [Changelog](https://github.com/pallets/werkzeug/blob/main/CHANGES.rst)
- [Commits](pallets/werkzeug@2.1.1...2.3.8)

Updates `gevent` from 22.10.2 to 23.9.0
- [Release notes](https://github.com/gevent/gevent/releases)
- [Changelog](https://github.com/gevent/gevent/blob/master/docs/changelog_pre.rst)
- [Commits](gevent/gevent@22.10.2...23.9.0)

Updates `numpy` from 1.21.5 to 1.22.0
- [Release notes](https://github.com/numpy/numpy/releases)
- [Changelog](https://github.com/numpy/numpy/blob/main/doc/RELEASE_WALKTHROUGH.rst)
- [Commits](numpy/numpy@v1.21.5...v1.22.0)

Updates `torch` from 1.9.0 to 1.13.1
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/main/RELEASE.md)
- [Commits](pytorch/pytorch@v1.9.0...v1.13.1)

Updates `transformers` from 4.21.0 to 4.38.0
- [Release notes](https://github.com/huggingface/transformers/releases)
- [Commits](huggingface/transformers@v4.21.0...v4.38.0)

---
updated-dependencies:
- dependency-name: dash
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: eventlet
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: flask
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: numpy
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: setuptools
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: werkzeug
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: gevent
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: numpy
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: torch
  dependency-type: direct:production
  dependency-group: pip
- dependency-name: transformers
  dependency-type: direct:production
  dependency-group: pip
...

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@dependabot dependabot bot requested a review from a team as a code owner April 10, 2024 22:35
@dependabot dependabot bot added dependencies Pull requests that update a dependency file python Pull requests that update Python code labels Apr 10, 2024
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dependabot bot commented on behalf of github Apr 12, 2024

Superseded by #66.

@dependabot dependabot bot closed this Apr 12, 2024
@dependabot dependabot bot deleted the dependabot/pip/pip-3425c1f516 branch April 12, 2024 21:54
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