poetry.lock

# This file is automatically @generated by Poetry and should not be changed by hand.

[[package]]
name = "atomicwrites"
version = "1.4.1"
description = "Atomic file writes."
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
    {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"},
]

[[package]]
name = "attrs"
version = "22.2.0"
description = "Classes Without Boilerplate"
category = "dev"
optional = false
python-versions = ">=3.6"
files = [
    {file = "attrs-22.2.0-py3-none-any.whl", hash = "sha256:29e95c7f6778868dbd49170f98f8818f78f3dc5e0e37c0b1f474e3561b240836"},
    {file = "attrs-22.2.0.tar.gz", hash = "sha256:c9227bfc2f01993c03f68db37d1d15c9690188323c067c641f1a35ca58185f99"},
]

[package.extras]
cov = ["attrs[tests]", "coverage-enable-subprocess", "coverage[toml] (>=5.3)"]
dev = ["attrs[docs,tests]"]
docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope.interface"]
tests = ["attrs[tests-no-zope]", "zope.interface"]
tests-no-zope = ["cloudpickle", "cloudpickle", "hypothesis", "hypothesis", "mypy (>=0.971,<0.990)", "mypy (>=0.971,<0.990)", "pympler", "pympler", "pytest (>=4.3.0)", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-mypy-plugins", "pytest-xdist[psutil]", "pytest-xdist[psutil]"]

[[package]]
name = "colorama"
version = "0.4.6"
description = "Cross-platform colored terminal text."
category = "dev"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
files = [
    {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
    {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
]

[[package]]
name = "joblib"
version = "1.2.0"
description = "Lightweight pipelining with Python functions"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
    {file = "joblib-1.2.0-py3-none-any.whl", hash = "sha256:091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385"},
    {file = "joblib-1.2.0.tar.gz", hash = "sha256:e1cee4a79e4af22881164f218d4311f60074197fb707e082e803b61f6d137018"},
]

[[package]]
name = "more-itertools"
version = "9.0.0"
description = "More routines for operating on iterables, beyond itertools"
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
    {file = "more-itertools-9.0.0.tar.gz", hash = "sha256:5a6257e40878ef0520b1803990e3e22303a41b5714006c32a3fd8304b26ea1ab"},
    {file = "more_itertools-9.0.0-py3-none-any.whl", hash = "sha256:250e83d7e81d0c87ca6bd942e6aeab8cc9daa6096d12c5308f3f92fa5e5c1f41"},
]

[[package]]
name = "numpy"
version = "1.24.1"
description = "Fundamental package for array computing in Python"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
    {file = "numpy-1.24.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:179a7ef0889ab769cc03573b6217f54c8bd8e16cef80aad369e1e8185f994cd7"},
    {file = "numpy-1.24.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b09804ff570b907da323b3d762e74432fb07955701b17b08ff1b5ebaa8cfe6a9"},
    {file = "numpy-1.24.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f1b739841821968798947d3afcefd386fa56da0caf97722a5de53e07c4ccedc7"},
    {file = "numpy-1.24.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0e3463e6ac25313462e04aea3fb8a0a30fb906d5d300f58b3bc2c23da6a15398"},
    {file = "numpy-1.24.1-cp310-cp310-win32.whl", hash = "sha256:b31da69ed0c18be8b77bfce48d234e55d040793cebb25398e2a7d84199fbc7e2"},
    {file = "numpy-1.24.1-cp310-cp310-win_amd64.whl", hash = "sha256:b07b40f5fb4fa034120a5796288f24c1fe0e0580bbfff99897ba6267af42def2"},
    {file = "numpy-1.24.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7094891dcf79ccc6bc2a1f30428fa5edb1e6fb955411ffff3401fb4ea93780a8"},
    {file = "numpy-1.24.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:28e418681372520c992805bb723e29d69d6b7aa411065f48216d8329d02ba032"},
    {file = "numpy-1.24.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e274f0f6c7efd0d577744f52032fdd24344f11c5ae668fe8d01aac0422611df1"},
    {file = "numpy-1.24.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0044f7d944ee882400890f9ae955220d29b33d809a038923d88e4e01d652acd9"},
    {file = "numpy-1.24.1-cp311-cp311-win32.whl", hash = "sha256:442feb5e5bada8408e8fcd43f3360b78683ff12a4444670a7d9e9824c1817d36"},
    {file = "numpy-1.24.1-cp311-cp311-win_amd64.whl", hash = "sha256:de92efa737875329b052982e37bd4371d52cabf469f83e7b8be9bb7752d67e51"},
    {file = "numpy-1.24.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:b162ac10ca38850510caf8ea33f89edcb7b0bb0dfa5592d59909419986b72407"},
    {file = "numpy-1.24.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:26089487086f2648944f17adaa1a97ca6aee57f513ba5f1c0b7ebdabbe2b9954"},
    {file = "numpy-1.24.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:caf65a396c0d1f9809596be2e444e3bd4190d86d5c1ce21f5fc4be60a3bc5b36"},
    {file = "numpy-1.24.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b0677a52f5d896e84414761531947c7a330d1adc07c3a4372262f25d84af7bf7"},
    {file = "numpy-1.24.1-cp38-cp38-win32.whl", hash = "sha256:dae46bed2cb79a58d6496ff6d8da1e3b95ba09afeca2e277628171ca99b99db1"},
    {file = "numpy-1.24.1-cp38-cp38-win_amd64.whl", hash = "sha256:6ec0c021cd9fe732e5bab6401adea5a409214ca5592cd92a114f7067febcba0c"},
    {file = "numpy-1.24.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:28bc9750ae1f75264ee0f10561709b1462d450a4808cd97c013046073ae64ab6"},
    {file = "numpy-1.24.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:84e789a085aabef2f36c0515f45e459f02f570c4b4c4c108ac1179c34d475ed7"},
    {file = "numpy-1.24.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8e669fbdcdd1e945691079c2cae335f3e3a56554e06bbd45d7609a6cf568c700"},
    {file = "numpy-1.24.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ef85cf1f693c88c1fd229ccd1055570cb41cdf4875873b7728b6301f12cd05bf"},
    {file = "numpy-1.24.1-cp39-cp39-win32.whl", hash = "sha256:87a118968fba001b248aac90e502c0b13606721b1343cdaddbc6e552e8dfb56f"},
    {file = "numpy-1.24.1-cp39-cp39-win_amd64.whl", hash = "sha256:ddc7ab52b322eb1e40521eb422c4e0a20716c271a306860979d450decbb51b8e"},
    {file = "numpy-1.24.1-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:ed5fb71d79e771ec930566fae9c02626b939e37271ec285e9efaf1b5d4370e7d"},
    {file = "numpy-1.24.1-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ad2925567f43643f51255220424c23d204024ed428afc5aad0f86f3ffc080086"},
    {file = "numpy-1.24.1-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:cfa1161c6ac8f92dea03d625c2d0c05e084668f4a06568b77a25a89111621566"},
    {file = "numpy-1.24.1.tar.gz", hash = "sha256:2386da9a471cc00a1f47845e27d916d5ec5346ae9696e01a8a34760858fe9dd2"},
]

[[package]]
name = "packaging"
version = "23.0"
description = "Core utilities for Python packages"
category = "dev"
optional = false
python-versions = ">=3.7"
files = [
    {file = "packaging-23.0-py3-none-any.whl", hash = "sha256:714ac14496c3e68c99c29b00845f7a2b85f3bb6f1078fd9f72fd20f0570002b2"},
    {file = "packaging-23.0.tar.gz", hash = "sha256:b6ad297f8907de0fa2fe1ccbd26fdaf387f5f47c7275fedf8cce89f99446cf97"},
]

[[package]]
name = "pandas"
version = "1.5.2"
description = "Powerful data structures for data analysis, time series, and statistics"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
    {file = "pandas-1.5.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:e9dbacd22555c2d47f262ef96bb4e30880e5956169741400af8b306bbb24a273"},
    {file = "pandas-1.5.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e2b83abd292194f350bb04e188f9379d36b8dfac24dd445d5c87575f3beaf789"},
    {file = "pandas-1.5.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2552bffc808641c6eb471e55aa6899fa002ac94e4eebfa9ec058649122db5824"},
    {file = "pandas-1.5.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1fc87eac0541a7d24648a001d553406f4256e744d92df1df8ebe41829a915028"},
    {file = "pandas-1.5.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d0d8fd58df5d17ddb8c72a5075d87cd80d71b542571b5f78178fb067fa4e9c72"},
    {file = "pandas-1.5.2-cp310-cp310-win_amd64.whl", hash = "sha256:4aed257c7484d01c9a194d9a94758b37d3d751849c05a0050c087a358c41ad1f"},
    {file = "pandas-1.5.2-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:375262829c8c700c3e7cbb336810b94367b9c4889818bbd910d0ecb4e45dc261"},
    {file = "pandas-1.5.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:cc3cd122bea268998b79adebbb8343b735a5511ec14efb70a39e7acbc11ccbdc"},
    {file = "pandas-1.5.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b4f5a82afa4f1ff482ab8ded2ae8a453a2cdfde2001567b3ca24a4c5c5ca0db3"},
    {file = "pandas-1.5.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8092a368d3eb7116e270525329a3e5c15ae796ccdf7ccb17839a73b4f5084a39"},
    {file = "pandas-1.5.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6257b314fc14958f8122779e5a1557517b0f8e500cfb2bd53fa1f75a8ad0af2"},
    {file = "pandas-1.5.2-cp311-cp311-win_amd64.whl", hash = "sha256:82ae615826da838a8e5d4d630eb70c993ab8636f0eff13cb28aafc4291b632b5"},
    {file = "pandas-1.5.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:457d8c3d42314ff47cc2d6c54f8fc0d23954b47977b2caed09cd9635cb75388b"},
    {file = "pandas-1.5.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:c009a92e81ce836212ce7aa98b219db7961a8b95999b97af566b8dc8c33e9519"},
    {file = "pandas-1.5.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:71f510b0efe1629bf2f7c0eadb1ff0b9cf611e87b73cd017e6b7d6adb40e2b3a"},
    {file = "pandas-1.5.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a40dd1e9f22e01e66ed534d6a965eb99546b41d4d52dbdb66565608fde48203f"},
    {file = "pandas-1.5.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5ae7e989f12628f41e804847a8cc2943d362440132919a69429d4dea1f164da0"},
    {file = "pandas-1.5.2-cp38-cp38-win32.whl", hash = "sha256:530948945e7b6c95e6fa7aa4be2be25764af53fba93fe76d912e35d1c9ee46f5"},
    {file = "pandas-1.5.2-cp38-cp38-win_amd64.whl", hash = "sha256:73f219fdc1777cf3c45fde7f0708732ec6950dfc598afc50588d0d285fddaefc"},
    {file = "pandas-1.5.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:9608000a5a45f663be6af5c70c3cbe634fa19243e720eb380c0d378666bc7702"},
    {file = "pandas-1.5.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:315e19a3e5c2ab47a67467fc0362cb36c7c60a93b6457f675d7d9615edad2ebe"},
    {file = "pandas-1.5.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e18bc3764cbb5e118be139b3b611bc3fbc5d3be42a7e827d1096f46087b395eb"},
    {file = "pandas-1.5.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0183cb04a057cc38fde5244909fca9826d5d57c4a5b7390c0cc3fa7acd9fa883"},
    {file = "pandas-1.5.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:344021ed3e639e017b452aa8f5f6bf38a8806f5852e217a7594417fb9bbfa00e"},
    {file = "pandas-1.5.2-cp39-cp39-win32.whl", hash = "sha256:e7469271497960b6a781eaa930cba8af400dd59b62ec9ca2f4d31a19f2f91090"},
    {file = "pandas-1.5.2-cp39-cp39-win_amd64.whl", hash = "sha256:c218796d59d5abd8780170c937b812c9637e84c32f8271bbf9845970f8c1351f"},
    {file = "pandas-1.5.2.tar.gz", hash = "sha256:220b98d15cee0b2cd839a6358bd1f273d0356bf964c1a1aeb32d47db0215488b"},
]

[package.dependencies]
numpy = [
    {version = ">=1.20.3", markers = "python_version < \"3.10\""},
    {version = ">=1.21.0", markers = "python_version >= \"3.10\""},
    {version = ">=1.23.2", markers = "python_version >= \"3.11\""},
]
python-dateutil = ">=2.8.1"
pytz = ">=2020.1"

[package.extras]
test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]

[[package]]
name = "plotly"
version = "4.14.3"
description = "An open-source, interactive data visualization library for Python"
category = "main"
optional = false
python-versions = "*"
files = [
    {file = "plotly-4.14.3-py2.py3-none-any.whl", hash = "sha256:d68fc15fcb49f88db27ab3e0c87110943e65fee02a47f33a8590f541b3042461"},
    {file = "plotly-4.14.3.tar.gz", hash = "sha256:7d8aaeed392e82fb8e0e48899f2d3d957b12327f9d38cdd5802bc574a8a39d91"},
]

[package.dependencies]
retrying = ">=1.3.3"
six = "*"

[[package]]
name = "pluggy"
version = "0.13.1"
description = "plugin and hook calling mechanisms for python"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
files = [
    {file = "pluggy-0.13.1-py2.py3-none-any.whl", hash = "sha256:966c145cd83c96502c3c3868f50408687b38434af77734af1e9ca461a4081d2d"},
    {file = "pluggy-0.13.1.tar.gz", hash = "sha256:15b2acde666561e1298d71b523007ed7364de07029219b604cf808bfa1c765b0"},
]

[package.extras]
dev = ["pre-commit", "tox"]

[[package]]
name = "py"
version = "1.11.0"
description = "library with cross-python path, ini-parsing, io, code, log facilities"
category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
files = [
    {file = "py-1.11.0-py2.py3-none-any.whl", hash = "sha256:607c53218732647dff4acdfcd50cb62615cedf612e72d1724fb1a0cc6405b378"},
    {file = "py-1.11.0.tar.gz", hash = "sha256:51c75c4126074b472f746a24399ad32f6053d1b34b68d2fa41e558e6f4a98719"},
]

[[package]]
name = "pytest"
version = "5.4.3"
description = "pytest: simple powerful testing with Python"
category = "dev"
optional = false
python-versions = ">=3.5"
files = [
    {file = "pytest-5.4.3-py3-none-any.whl", hash = "sha256:5c0db86b698e8f170ba4582a492248919255fcd4c79b1ee64ace34301fb589a1"},
    {file = "pytest-5.4.3.tar.gz", hash = "sha256:7979331bfcba207414f5e1263b5a0f8f521d0f457318836a7355531ed1a4c7d8"},
]

[package.dependencies]
atomicwrites = {version = ">=1.0", markers = "sys_platform == \"win32\""}
attrs = ">=17.4.0"
colorama = {version = "*", markers = "sys_platform == \"win32\""}
more-itertools = ">=4.0.0"
packaging = "*"
pluggy = ">=0.12,<1.0"
py = ">=1.5.0"
wcwidth = "*"

[package.extras]
checkqa-mypy = ["mypy (==v0.761)"]
testing = ["argcomplete", "hypothesis (>=3.56)", "mock", "nose", "requests", "xmlschema"]

[[package]]
name = "python-dateutil"
version = "2.8.2"
description = "Extensions to the standard Python datetime module"
category = "main"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
files = [
    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
]

[package.dependencies]
six = ">=1.5"

[[package]]
name = "pytz"
version = "2022.7.1"
description = "World timezone definitions, modern and historical"
category = "main"
optional = false
python-versions = "*"
files = [
    {file = "pytz-2022.7.1-py2.py3-none-any.whl", hash = "sha256:78f4f37d8198e0627c5f1143240bb0206b8691d8d7ac6d78fee88b78733f8c4a"},
    {file = "pytz-2022.7.1.tar.gz", hash = "sha256:01a0681c4b9684a28304615eba55d1ab31ae00bf68ec157ec3708a8182dbbcd0"},
]

[[package]]
name = "retrying"
version = "1.3.4"
description = "Retrying"
category = "main"
optional = false
python-versions = "*"
files = [
    {file = "retrying-1.3.4-py3-none-any.whl", hash = "sha256:8cc4d43cb8e1125e0ff3344e9de678fefd85db3b750b81b2240dc0183af37b35"},
    {file = "retrying-1.3.4.tar.gz", hash = "sha256:345da8c5765bd982b1d1915deb9102fd3d1f7ad16bd84a9700b85f64d24e8f3e"},
]

[package.dependencies]
six = ">=1.7.0"

[[package]]
name = "river"
version = "0.14.0"
description = "Online machine learning in Python"
category = "main"
optional = false
python-versions = ">=3.8.0"
files = [
    {file = "river-0.14.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:bd68de1357cfb603c3d742d4562844dc640270968febb4e4e0f163c017fc771f"},
    {file = "river-0.14.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:92f95e421b96436f5020dd1aa34a8e91c5346ccb1a50a249fd94d6fe51d64946"},
    {file = "river-0.14.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6cfeeaae52331fbc39e34859e28ce3d3f20843d659d7bb6c7c879e83e297cb41"},
    {file = "river-0.14.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e7f57ba07f5f67204ca5bf296ab873033516cbfc6c1d64e80d5b064c7d18c298"},
    {file = "river-0.14.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e1b6345cdf1703810bd90f66a3b32dd0ecd16ab115454ad3b4178b01b88ba904"},
    {file = "river-0.14.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:cfa5de52e0925ef3a172a8b836de5c7a950fdd013f97f4b909263040bdeef30f"},
    {file = "river-0.14.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fe70ffba97805756aec287dd211be3357217e0c91cc1c9c5b11bebe1d2574932"},
    {file = "river-0.14.0-cp310-cp310-win32.whl", hash = "sha256:c61ce021b4972f723caf07e37aa2a7d382f211fd20dec630f32f047e6cbad150"},
    {file = "river-0.14.0-cp310-cp310-win_amd64.whl", hash = "sha256:1e3ac1c2068adf3992da8938d851e24990f406c70705d8fba3fafef9e73f8a78"},
    {file = "river-0.14.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1248b48e096edc44b72a1aca036cb7494c7d632e82d74a961b4455e20164885b"},
    {file = "river-0.14.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d4f3001c889a29c90f5723decd932450d6ae2a50a243938613139446471fe1e2"},
    {file = "river-0.14.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e406f768586ace36e223cb096a96e13e9c2ceabb85cb4fffc0df9cfff0107a6c"},
    {file = "river-0.14.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a59948dad5d63bca7badbc6f8dcb3f1621f5f1600efc75237f9e2407d573bad6"},
    {file = "river-0.14.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:41aad18b86969f1c80c239860962c94446d1caffafc497dcdd817e3603251c16"},
    {file = "river-0.14.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:8968102833ab20625784a0911d14bec087fc85ec3fe4dd4b7f7ee9b28e38311d"},
    {file = "river-0.14.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2ac231c217790792caf3116740abeeb145a15b419b4f3f57803a22021de11a49"},
    {file = "river-0.14.0-cp38-cp38-win32.whl", hash = "sha256:f11cc1a49ee663a5d82807972f46f013dbce62662d81fa833e8e31d883e265cb"},
    {file = "river-0.14.0-cp38-cp38-win_amd64.whl", hash = "sha256:035f4f7f6a6de1883f784bacbbe0b2062a3e0f34bfd2141abe39b4c0ca97a4e0"},
    {file = "river-0.14.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:486d181b48db0755e7eab50c4f9e9181a53292abad52816b509dcee1b463e960"},
    {file = "river-0.14.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:fa9a588832a70892a36daec8316607087ad5dd5a536483e5a042a2b7161d2e64"},
    {file = "river-0.14.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37a86de4c6cb538831b59171962c1c0e00c607bd417ee547e4b61cff9df2c7ce"},
    {file = "river-0.14.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:479cdd65f267f2b38ebd9de5ffab023d3931759fa6fedb7236bac6523d3d5239"},
    {file = "river-0.14.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d61e0a1a88fee9c618f6b8a54dac7337e3825e2f44926627b54a3598dbb101bb"},
    {file = "river-0.14.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:c282d38835993993417e411335d91af4668a6d0e5f0a0203a39947556274e44e"},
    {file = "river-0.14.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ca9f90fd2d474757a9e9c2c74a27905a2d1503963f235a8a451ba3334996fd06"},
    {file = "river-0.14.0-cp39-cp39-win32.whl", hash = "sha256:16cee6bc12ba336324978609415adc0ec0f1b20273b0c978239d359c9679b196"},
    {file = "river-0.14.0-cp39-cp39-win_amd64.whl", hash = "sha256:7225eb000566d2063f73d330d73b11322266227c75ab977b4fecc7b180d5f40a"},
    {file = "river-0.14.0.tar.gz", hash = "sha256:582541a0cb7f29084ee3f80dd186889183f17ee530442768810715d0177a374a"},
]

[package.dependencies]
numpy = ">=1.23.4"
pandas = ">=1.3"
scipy = ">=1.5"

[package.extras]
compat = ["numpy (>=1.23.4)", "pandas (>=1.3)", "scikit-learn", "scipy (>=1.5)", "sqlalchemy (>=1.4)", "vaex"]
dev = ["black (>=22.1.0)", "flake8 (>=4.0.1)", "graphviz (>=0.10.1)", "gym (>=0.26.1)", "isort (>=5.9.3)", "matplotlib (>=3.0.2)", "mypy (>=0.961)", "numpy (>=1.23.4)", "pandas (>=1.3)", "pre-commit (>=2.9.2)", "pytest (>=4.5.0)", "scikit-learn (>=1.0.1)", "scipy (>=1.5)", "sqlalchemy (>=1.4)", "sympy (>=1.10.1)"]
docs = ["dominate", "flask", "ipykernel", "jupyter-client", "mike", "mkdocs", "mkdocs-awesome-pages-plugin", "mkdocs-material", "nbconvert", "numpy (>=1.23.4)", "pandas (>=1.3)", "python-slugify", "scipy (>=1.5)", "spacy", "watermark"]
extra = ["river-extra"]
torch = ["river-torch"]

[[package]]
name = "scikit-learn"
version = "0.24.2"
description = "A set of python modules for machine learning and data mining"
category = "main"
optional = false
python-versions = ">=3.6"
files = [
    {file = "scikit-learn-0.24.2.tar.gz", hash = "sha256:d14701a12417930392cd3898e9646cf5670c190b933625ebe7511b1f7d7b8736"},
    {file = "scikit_learn-0.24.2-cp36-cp36m-macosx_10_13_x86_64.whl", hash = "sha256:d5bf9c863ba4717b3917b5227463ee06860fc43931dc9026747de416c0a10fee"},
    {file = "scikit_learn-0.24.2-cp36-cp36m-manylinux1_i686.whl", hash = "sha256:5beaeb091071625e83f5905192d8aecde65ba2f26f8b6719845bbf586f7a04a1"},
    {file = "scikit_learn-0.24.2-cp36-cp36m-manylinux1_x86_64.whl", hash = "sha256:06ffdcaaf81e2a3b1b50c3ac6842cfb13df2d8b737d61f64643ed61da7389cde"},
    {file = "scikit_learn-0.24.2-cp36-cp36m-manylinux2010_i686.whl", hash = "sha256:fec42690a2eb646b384eafb021c425fab48991587edb412d4db77acc358b27ce"},
    {file = "scikit_learn-0.24.2-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:5ff3e4e4cf7592d36541edec434e09fb8ab9ba6b47608c4ffe30c9038d301897"},
    {file = "scikit_learn-0.24.2-cp36-cp36m-manylinux2014_aarch64.whl", hash = "sha256:3cbd734e1aefc7c5080e6b6973fe062f97c26a1cdf1a991037ca196ce1c8f427"},
    {file = "scikit_learn-0.24.2-cp36-cp36m-win32.whl", hash = "sha256:f74429a07fedb36a03c159332b914e6de757176064f9fed94b5f79ebac07d913"},
    {file = "scikit_learn-0.24.2-cp36-cp36m-win_amd64.whl", hash = "sha256:dd968a174aa82f3341a615a033fa6a8169e9320cbb46130686562db132d7f1f0"},
    {file = "scikit_learn-0.24.2-cp37-cp37m-macosx_10_13_x86_64.whl", hash = "sha256:49ec0b1361da328da9bb7f1a162836028e72556356adeb53342f8fae6b450d47"},
    {file = "scikit_learn-0.24.2-cp37-cp37m-manylinux1_i686.whl", hash = "sha256:f18c3ed484eeeaa43a0d45dc2efb4d00fc6542ccdcfa2c45d7b635096a2ae534"},
    {file = "scikit_learn-0.24.2-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:cdf24c1b9bbeb4936456b42ac5bd32c60bb194a344951acb6bfb0cddee5439a4"},
    {file = "scikit_learn-0.24.2-cp37-cp37m-manylinux2010_i686.whl", hash = "sha256:d177fe1ff47cc235942d628d41ee5b1c6930d8f009f1a451c39b5411e8d0d4cf"},
    {file = "scikit_learn-0.24.2-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:f3ec00f023d84526381ad0c0f2cff982852d035c921bbf8ceb994f4886c00c64"},
    {file = "scikit_learn-0.24.2-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:ae19ac105cf7ce8c205a46166992fdec88081d6e783ab6e38ecfbe45729f3c39"},
    {file = "scikit_learn-0.24.2-cp37-cp37m-win32.whl", hash = "sha256:f0ed4483c258fb23150e31b91ea7d25ff8495dba108aea0b0d4206a777705350"},
    {file = "scikit_learn-0.24.2-cp37-cp37m-win_amd64.whl", hash = "sha256:39b7e3b71bcb1fe46397185d6c1a5db1c441e71c23c91a31e7ad8cc3f7305f9a"},
    {file = "scikit_learn-0.24.2-cp38-cp38-macosx_10_13_x86_64.whl", hash = "sha256:90a297330f608adeb4d2e9786c6fda395d3150739deb3d42a86d9a4c2d15bc1d"},
    {file = "scikit_learn-0.24.2-cp38-cp38-manylinux1_i686.whl", hash = "sha256:f1d2108e770907540b5248977e4cff9ffaf0f73d0d13445ee938df06ca7579c6"},
    {file = "scikit_learn-0.24.2-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:1eec963fe9ffc827442c2e9333227c4d49749a44e592f305398c1db5c1563393"},
    {file = "scikit_learn-0.24.2-cp38-cp38-manylinux2010_i686.whl", hash = "sha256:2db429090b98045d71218a9ba913cc9b3fe78e0ba0b6b647d8748bc6d5a44080"},
    {file = "scikit_learn-0.24.2-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:62214d2954377fcf3f31ec867dd4e436df80121e7a32947a0b3244f58f45e455"},
    {file = "scikit_learn-0.24.2-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:8fac72b9688176922f9f54fda1ba5f7ffd28cbeb9aad282760186e8ceba9139a"},
    {file = "scikit_learn-0.24.2-cp38-cp38-win32.whl", hash = "sha256:ae426e3a52842c6b6d77d00f906b6031c8c2cfdfabd6af7511bb4bc9a68d720e"},
    {file = "scikit_learn-0.24.2-cp38-cp38-win_amd64.whl", hash = "sha256:038f4e9d6ef10e1f3fe82addc3a14735c299866eb10f2c77c090410904828312"},
    {file = "scikit_learn-0.24.2-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:48f273836e19901ba2beecd919f7b352f09310ce67c762f6e53bc6b81cacf1f0"},
    {file = "scikit_learn-0.24.2-cp39-cp39-manylinux1_i686.whl", hash = "sha256:a2a47449093dcf70babc930beba2ca0423cb7df2fa5fd76be5260703d67fa574"},
    {file = "scikit_learn-0.24.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:0e71ce9c7cbc20f6f8b860107ce15114da26e8675238b4b82b7e7cd37ca0c087"},
    {file = "scikit_learn-0.24.2-cp39-cp39-manylinux2010_i686.whl", hash = "sha256:2754c85b2287333f9719db7f23fb7e357f436deed512db3417a02bf6f2830aa5"},
    {file = "scikit_learn-0.24.2-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:7be1b88c23cfac46e06404582215a917017cd2edaa2e4d40abe6aaff5458f24b"},
    {file = "scikit_learn-0.24.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:4e6198675a6f9d333774671bd536668680eea78e2e81c0b19e57224f58d17f37"},
    {file = "scikit_learn-0.24.2-cp39-cp39-win32.whl", hash = "sha256:cbdb0b3db99dd1d5f69d31b4234367d55475add31df4d84a3bd690ef017b55e2"},
    {file = "scikit_learn-0.24.2-cp39-cp39-win_amd64.whl", hash = "sha256:40556bea1ef26ef54bc678d00cf138a63069144a0b5f3a436eecd8f3468b903e"},
]

[package.dependencies]
joblib = ">=0.11"
numpy = ">=1.13.3"
scipy = ">=0.19.1"
threadpoolctl = ">=2.0.0"

[package.extras]
benchmark = ["matplotlib (>=2.1.1)", "memory-profiler (>=0.57.0)", "pandas (>=0.25.0)"]
docs = ["Pillow (>=7.1.2)", "matplotlib (>=2.1.1)", "memory-profiler (>=0.57.0)", "numpydoc (>=1.0.0)", "pandas (>=0.25.0)", "scikit-image (>=0.13)", "seaborn (>=0.9.0)", "sphinx (>=3.2.0)", "sphinx-gallery (>=0.7.0)", "sphinx-prompt (>=1.3.0)"]
examples = ["matplotlib (>=2.1.1)", "pandas (>=0.25.0)", "scikit-image (>=0.13)", "seaborn (>=0.9.0)"]
tests = ["flake8 (>=3.8.2)", "matplotlib (>=2.1.1)", "mypy (>=0.770)", "pandas (>=0.25.0)", "pyamg (>=4.0.0)", "pytest (>=5.0.1)", "pytest-cov (>=2.9.0)", "scikit-image (>=0.13)"]

[[package]]
name = "scipy"
version = "1.9.3"
description = "Fundamental algorithms for scientific computing in Python"
category = "main"
optional = false
python-versions = ">=3.8"
files = [
    {file = "scipy-1.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1884b66a54887e21addf9c16fb588720a8309a57b2e258ae1c7986d4444d3bc0"},
    {file = "scipy-1.9.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:83b89e9586c62e787f5012e8475fbb12185bafb996a03257e9675cd73d3736dd"},
    {file = "scipy-1.9.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a72d885fa44247f92743fc20732ae55564ff2a519e8302fb7e18717c5355a8b"},
    {file = "scipy-1.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d01e1dd7b15bd2449c8bfc6b7cc67d630700ed655654f0dfcf121600bad205c9"},
    {file = "scipy-1.9.3-cp310-cp310-win_amd64.whl", hash = "sha256:68239b6aa6f9c593da8be1509a05cb7f9efe98b80f43a5861cd24c7557e98523"},
    {file = "scipy-1.9.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b41bc822679ad1c9a5f023bc93f6d0543129ca0f37c1ce294dd9d386f0a21096"},
    {file = "scipy-1.9.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:90453d2b93ea82a9f434e4e1cba043e779ff67b92f7a0e85d05d286a3625df3c"},
    {file = "scipy-1.9.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:83c06e62a390a9167da60bedd4575a14c1f58ca9dfde59830fc42e5197283dab"},
    {file = "scipy-1.9.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:abaf921531b5aeaafced90157db505e10345e45038c39e5d9b6c7922d68085cb"},
    {file = "scipy-1.9.3-cp311-cp311-win_amd64.whl", hash = "sha256:06d2e1b4c491dc7d8eacea139a1b0b295f74e1a1a0f704c375028f8320d16e31"},
    {file = "scipy-1.9.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5a04cd7d0d3eff6ea4719371cbc44df31411862b9646db617c99718ff68d4840"},
    {file = "scipy-1.9.3-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:545c83ffb518094d8c9d83cce216c0c32f8c04aaf28b92cc8283eda0685162d5"},
    {file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d54222d7a3ba6022fdf5773931b5d7c56efe41ede7f7128c7b1637700409108"},
    {file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cff3a5295234037e39500d35316a4c5794739433528310e117b8a9a0c76d20fc"},
    {file = "scipy-1.9.3-cp38-cp38-win_amd64.whl", hash = "sha256:2318bef588acc7a574f5bfdff9c172d0b1bf2c8143d9582e05f878e580a3781e"},
    {file = "scipy-1.9.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d644a64e174c16cb4b2e41dfea6af722053e83d066da7343f333a54dae9bc31c"},
    {file = "scipy-1.9.3-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:da8245491d73ed0a994ed9c2e380fd058ce2fa8a18da204681f2fe1f57f98f95"},
    {file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4db5b30849606a95dcf519763dd3ab6fe9bd91df49eba517359e450a7d80ce2e"},
    {file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c68db6b290cbd4049012990d7fe71a2abd9ffbe82c0056ebe0f01df8be5436b0"},
    {file = "scipy-1.9.3-cp39-cp39-win_amd64.whl", hash = "sha256:5b88e6d91ad9d59478fafe92a7c757d00c59e3bdc3331be8ada76a4f8d683f58"},
    {file = "scipy-1.9.3.tar.gz", hash = "sha256:fbc5c05c85c1a02be77b1ff591087c83bc44579c6d2bd9fb798bb64ea5e1a027"},
]

[package.dependencies]
numpy = ">=1.18.5,<1.26.0"

[package.extras]
dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"]
doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]

[[package]]
name = "six"
version = "1.16.0"
description = "Python 2 and 3 compatibility utilities"
category = "main"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
files = [
    {file = "six-1.16.0-py2.py3-none-any.whl", hash = "sha256:8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254"},
    {file = "six-1.16.0.tar.gz", hash = "sha256:1e61c37477a1626458e36f7b1d82aa5c9b094fa4802892072e49de9c60c4c926"},
]

[[package]]
name = "threadpoolctl"
version = "3.1.0"
description = "threadpoolctl"
category = "main"
optional = false
python-versions = ">=3.6"
files = [
    {file = "threadpoolctl-3.1.0-py3-none-any.whl", hash = "sha256:8b99adda265feb6773280df41eece7b2e6561b772d21ffd52e372f999024907b"},
    {file = "threadpoolctl-3.1.0.tar.gz", hash = "sha256:a335baacfaa4400ae1f0d8e3a58d6674d2f8828e3716bb2802c44955ad391380"},
]

[[package]]
name = "vowpalwabbit"
version = "8.11.0"
description = "Vowpal Wabbit Python package"
category = "main"
optional = false
python-versions = "*"
files = [
    {file = "vowpalwabbit-8.11.0-cp35-cp35m-manylinux2010_x86_64.whl", hash = "sha256:daf0db2f3eafba574cf19b8d0bb8d070935f9baa3cf1c74e9f2281f83866a462"},
    {file = "vowpalwabbit-8.11.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:99f56625af068c5276395aa3121cde0112c5ddbe6ed8c9daeb4eaad1ca1d7f73"},
    {file = "vowpalwabbit-8.11.0-cp36-cp36m-manylinux2010_x86_64.whl", hash = "sha256:28def67188f76b4d82770c1db96488e2c87f6ea8ffb135572485083117c493f6"},
    {file = "vowpalwabbit-8.11.0-cp36-cp36m-win_amd64.whl", hash = "sha256:873758903c495e7bff8804f445f03e46029191187e2f3db1c471ec0567724cd2"},
    {file = "vowpalwabbit-8.11.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8b1b8b236347f4f14797aa9a312c82b973a80ffd36c13cf1cdd141db5640988c"},
    {file = "vowpalwabbit-8.11.0-cp37-cp37m-manylinux2010_x86_64.whl", hash = "sha256:77502e86f5de4bba7884156f6df1a069b019a33baf451aca63a7db5e1ef97dd5"},
    {file = "vowpalwabbit-8.11.0-cp37-cp37m-win_amd64.whl", hash = "sha256:5ab123d44e4d941f8f1a875d93bfdc4be9c0b4118f6c147b11682302cbc701ee"},
    {file = "vowpalwabbit-8.11.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:4ad885d661525f0a50e4ebd9c2d660dd63222b40dd50c0aad48b48f8be000f2d"},
    {file = "vowpalwabbit-8.11.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:540f84718b952d7c22fb1c6dda8181ed126e59421f3234d1cd099e21f2900f2a"},
    {file = "vowpalwabbit-8.11.0-cp38-cp38-manylinux2010_x86_64.whl", hash = "sha256:db5a564903b3192c5e03555ec4fa267d90a0d369f4b2813fb8cede6ff4fa9834"},
    {file = "vowpalwabbit-8.11.0-cp38-cp38-win_amd64.whl", hash = "sha256:c7d09037cd6c4c0a475effa9de6efe1fe8f49396ac55cf2f364d6da3a1268f4e"},
    {file = "vowpalwabbit-8.11.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bd48d4b13e7cf703d82b1f3d2c83d40fcf210ba5996de8854c8f428e02860c56"},
    {file = "vowpalwabbit-8.11.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:9125af1d11c53eff9c937908d4a4555bc1ffe84a0ffd345bdd0418b850c16745"},
    {file = "vowpalwabbit-8.11.0-cp39-cp39-manylinux2010_x86_64.whl", hash = "sha256:03cfbe195b783db21afe6026323a26153106878124ca37d8a9aa3ecfc371b4b1"},
    {file = "vowpalwabbit-8.11.0-cp39-cp39-win_amd64.whl", hash = "sha256:064e91f96fd5ebb4f63745d95ad2fbd947980dd744a40706e8fe70ab89ed2968"},
]

[[package]]
name = "wcwidth"
version = "0.2.6"
description = "Measures the displayed width of unicode strings in a terminal"
category = "dev"
optional = false
python-versions = "*"
files = [
    {file = "wcwidth-0.2.6-py2.py3-none-any.whl", hash = "sha256:795b138f6875577cd91bba52baf9e445cd5118fd32723b460e30a0af30ea230e"},
    {file = "wcwidth-0.2.6.tar.gz", hash = "sha256:a5220780a404dbe3353789870978e472cfe477761f06ee55077256e509b156d0"},
]

[metadata]
lock-version = "2.0"
python-versions = "^3.9"
content-hash = "57656074529f3b71c75bb88c893b71cdb4ac2539e2b13c5b9edb726121cac341"