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pyproject.lock
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[[package]]
name = "attrs"
version = "17.4.0"
description = "Classes Without Boilerplate"
category = "dev"
optional = false
python-versions = "*"
platform = "*"
[[package]]
name = "click"
version = "6.7"
description = "A simple wrapper around optparse for powerful command line utilities."
category = "main"
optional = false
python-versions = "*"
platform = "*"
[[package]]
name = "colorama"
version = "0.3.9"
description = "Cross-platform colored terminal text."
category = "dev"
optional = false
python-versions = "*"
platform = "*"
[package.requirements]
platform = "win32"
[[package]]
name = "funcsigs"
version = "1.0.2"
description = "Python function signatures from PEP362 for Python 2.6, 2.7 and 3.2+"
category = "dev"
optional = false
python-versions = "*"
platform = "*"
[package.requirements]
python = "<3.0"
[[package]]
name = "more-itertools"
version = "4.1.0"
description = "More routines for operating on iterables, beyond itertools"
category = "dev"
optional = false
python-versions = "*"
platform = "*"
[package.dependencies]
six = "< 2.0.0.0, >= 1.0.0.0"
[[package]]
name = "numpy"
version = "1.14.2"
description = "NumPy: array processing for numbers, strings, records, and objects."
category = "main"
optional = false
python-versions = "*"
platform = "*"
[[package]]
name = "pandas"
version = "0.22.0"
description = "Powerful data structures for data analysis, time series,and statistics"
category = "main"
optional = false
python-versions = "*"
platform = "*"
[package.dependencies]
python-dateutil = "*"
pytz = ">= 2011.0.0.0-k"
numpy = ">= 1.9.0.0"
[[package]]
name = "pluggy"
version = "0.6.0"
description = "plugin and hook calling mechanisms for python"
category = "dev"
optional = false
python-versions = "*"
platform = "*"
[[package]]
name = "py"
version = "1.5.3"
description = "library with cross-python path, ini-parsing, io, code, log facilities"
category = "dev"
optional = false
python-versions = "*"
platform = "*"
[[package]]
name = "pyaml"
version = "17.12.1"
description = "PyYAML-based module to produce pretty and readable YAML-serialized data"
category = "main"
optional = false
python-versions = "*"
platform = "*"
[[package]]
name = "pytest"
version = "3.5.0"
description = "pytest: simple powerful testing with Python"
category = "dev"
optional = false
python-versions = "*"
platform = "*"
[package.dependencies]
py = ">= 1.5.0.0"
six = ">= 1.10.0.0"
setuptools = "*"
attrs = ">= 17.4.0.0"
more-itertools = ">= 4.0.0.0"
pluggy = "< 0.7.0.0, >= 0.5.0.0"
funcsigs = "*"
colorama = "*"
[[package]]
name = "python-dateutil"
version = "2.7.2"
description = "Extensions to the standard Python datetime module"
category = "main"
optional = false
python-versions = "*"
platform = "*"
[package.dependencies]
six = ">= 1.5.0.0"
[[package]]
name = "pytz"
version = "2018.4"
description = "World timezone definitions, modern and historical"
category = "main"
optional = false
python-versions = "*"
platform = "*"
[[package]]
name = "six"
version = "1.11.0"
description = "Python 2 and 3 compatibility utilities"
category = "main"
optional = false
python-versions = "*"
platform = "*"
[metadata]
python-versions = "*"
platform = "*"
content-hash = "8eae0c8e9b8aca4396bf75bc9063c307c4be85758cec89017e577580300004ad"
[metadata.hashes]
attrs = [ "a17a9573a6f475c99b551c0e0a812707ddda1ec9653bed04c13841404ed6f450", "1c7960ccfd6a005cd9f7ba884e6316b5e430a3f1a6c37c5f87d8b43f83b54ec9",]
click = [ "29f99fc6125fbc931b758dc053b3114e55c77a6e4c6c3a2674a2dc986016381d", "f15516df478d5a56180fbf80e68f206010e6d160fc39fa508b65e035fd75130b",]
colorama = [ "463f8483208e921368c9f306094eb6f725c6ca42b0f97e313cb5d5512459feda", "48eb22f4f8461b1df5734a074b57042430fb06e1d61bd1e11b078c0fe6d7a1f1",]
funcsigs = [ "330cc27ccbf7f1e992e69fef78261dc7c6569012cf397db8d3de0234e6c937ca", "a7bb0f2cf3a3fd1ab2732cb49eba4252c2af4240442415b4abce3b87022a8f50",]
more-itertools = [ "11a625025954c20145b37ff6309cd54e39ca94f72f6bb9576d1195db6fa2442e", "0dd8f72eeab0d2c3bd489025bb2f6a1b8342f9b198f6fc37b52d15cfa4531fea", "c9ce7eccdcb901a2c75d326ea134e0886abfbea5f93e91cc95de9507c0816c44",]
numpy = [ "719d914f564f35cce4dc103808f8297c807c9f0297ac183ed81ae8b5650e698e", "0f6a5ed0cd7ab1da11f5c07a8ecada73fc55a70ef7bb6311a4109891341d7277", "d0928076d9bd8a98de44e79b1abe50c1456e7abbb40af7ef58092086f1a6c729", "d858423f5ed444d494b15c4cc90a206e1b8c31354c781ac7584da0d21c09c1c3", "20cac3123d791e4bf8482a580d98d6b5969ba348b9d5364df791ba3a666b660d", "528ce59ded2008f9e8543e0146acb3a98a9890da00adf8904b1e18c82099418b", "56e392b7c738bd70e6f46cf48c8194d3d1dd4c5a59fae4b30c58bb6ef86e5233", "99051e03b445117b26028623f1a487112ddf61a09a27e2d25e6bc07d37d94f25", "768e777cc1ffdbf97c507f65975c8686ebafe0f3dc8925d02ac117acc4669ce9", "675e0f23967ce71067d12b6944add505d5f0a251f819cfb44bdf8ee7072c090d", "a958bf9d4834c72dee4f91a0476e7837b8a2966dc6fcfc42c421405f98d0da51", "bb370120de6d26004358611441e07acda26840e41dfedc259d7f8cc613f96495", "f2b1378b63bdb581d5d7af2ec0373c8d40d651941d283a2afd7fc71184b3f570", "a1413d06abfa942ca0553bf3bccaff5fdb36d55b84f2248e36228db871147dab", "7f76d406c6b998d6410198dcb82688dcdaec7d846aa87e263ccf52efdcfeba30", "a7157c9ac6bddd2908c35ef099e4b643bc0e0ebb4d653deb54891d29258dd329", "0fd65cbbfdbf76bbf80c445d923b3accefea0fe2c2082049e0ce947c81fe1d3f", "8c18ee4dddd5c6a811930c0a7c7947bf16387da3b394725f6063f1366311187d", "0739146eaf4985962f07c62f7133aca89f3a600faac891ce6c7f3a1e2afe5272", "07e21f14490324cc1160db101e9b6c1233c33985af4cb1d301dd02650fea1d7f", "e6120d63b50e2248219f53302af7ec6fa2a42ed1f37e9cda2c76dbaca65036a7", "6be6b0ca705321c178c9858e5ad5611af664bbdfae1df1541f938a840a103888", "facc6f925c3099ac01a1f03758100772560a0b020fb9d70f210404be08006bcb",]
pandas = [ "68ac484e857dcbbd07ea7c6f516cc67f7f143f5313d9bc661470e7f473528882", "12f2a19d0b0adf31170d98d0e8bcbc59add0965a9b0c65d39e0665400491c0c5", "68b121d13177f5128a4c118bb4f73ba40df28292c038389961aa55ea5a996427", "06efae5c00b9f4c6e6d3fe1eb52e590ff0ea8e5cb58032c724e04d31c540de53", "02541a4fdd31315f213a5c8e18708abad719ee03eda05f603c4fe973e9b9d770", "2907f3fe91ca2119ac3c38de6891bbbc83333bfe0d98309768fee28de563ee7a", "052a66f58783a59ea38fdfee25de083b107baa81fdbe38fabd169d0f9efce2bf", "244ae0b9e998cfa88452a49b20e29bf582cc7c0e69093876d505aec4f8e1c7fe", "66403162c8b45325a995493bdd78ad4d8be085e527d721dbfa773d56fbba9c88", "af0dbac881f6f87acd325415adea0ce8cccf28f5d4ad7a54b6a1e176e2f7bf70", "c2cd884794924687edbaad40d18ac984054d247bb877890932c4d41e3c3aba31", "c372db80a5bcb143c9cb254d50f902772c3b093a4f965275197ec2d2184b1e61", "97c8223d42d43d86ca359a57b4702ca0529c6553e83d736e93a5699951f0f8db", "587a9816cc663c958fcff7907c553b73fe196604f990bc98e1b71ebf07e45b44", "44a94091dd71f05922eec661638ec1a35f26d573c119aa2fad964f10a2880e6c",]
pluggy = [ "7f8ae7f5bdf75671a718d2daf0a64b7885f74510bcd98b1a0bb420eb9a9d0cff",]
py = [ "983f77f3331356039fdd792e9220b7b8ee1aa6bd2b25f567a963ff1de5a64f6a", "29c9fab495d7528e80ba1e343b958684f4ace687327e6f789a94bf3d1915f881",]
pyaml = [ "f83fc302c52c6b83a15345792693ae0b5bc07ad19f59e318b7617d7123d62990", "66623c52f34d83a2c0fc963e08e8b9d0c13d88404e3b43b1852ef71eda19afa3",]
pytest = [ "6266f87ab64692112e5477eba395cfedda53b1933ccd29478e671e73b420c19c", "fae491d1874f199537fd5872b5e1f0e74a009b979df9d53d1553fd03da1703e1",]
python-dateutil = [ "3220490fb9741e2342e1cf29a503394fdac874bc39568288717ee67047ff29df", "9d8074be4c993fbe4947878ce593052f71dac82932a677d49194d8ce9778002e",]
pytz = [ "65ae0c8101309c45772196b21b74c46b2e5d11b6275c45d251b150d5da334555", "c06425302f2cf668f1bba7a0a03f3c1d34d4ebeef2c72003da308b3947c7f749",]
six = [ "832dc0e10feb1aa2c68dcc57dbb658f1c7e65b9b61af69048abc87a2db00a0eb", "70e8a77beed4562e7f14fe23a786b54f6296e34344c23bc42f07b15018ff98e9",]