poetry.lock: run poetry update
Update Python dependencies
This commit is contained in:
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8ab9efa38e
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0FB860CC9C45B1B9
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@ -229,7 +229,7 @@ docs = ["sphinx"]
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[[package]]
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name = "ipykernel"
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version = "6.6.0"
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version = "6.6.1"
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description = "IPython Kernel for Jupyter"
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category = "main"
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optional = false
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@ -241,6 +241,7 @@ debugpy = ">=1.0.0,<2.0"
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ipython = ">=7.23.1"
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jupyter-client = "<8.0"
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matplotlib-inline = ">=0.1.0,<0.2.0"
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nest-asyncio = "*"
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tornado = ">=4.2,<7.0"
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traitlets = ">=5.1.0,<6.0"
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@ -249,7 +250,7 @@ test = ["pytest (!=5.3.4)", "pytest-cov", "flaky", "ipyparallel"]
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[[package]]
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name = "ipython"
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version = "7.30.1"
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version = "7.31.0"
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description = "IPython: Productive Interactive Computing"
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category = "main"
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optional = false
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@ -281,7 +282,7 @@ test = ["nose (>=0.10.1)", "requests", "testpath", "pygments", "nbformat", "ipyk
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[[package]]
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name = "isodate"
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version = "0.6.0"
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version = "0.6.1"
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description = "An ISO 8601 date/time/duration parser and formatter"
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category = "main"
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optional = false
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@ -392,11 +393,11 @@ python-versions = ">=3.5"
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[[package]]
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name = "numpy"
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version = "1.21.4"
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version = "1.22.0"
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description = "NumPy is the fundamental package for array computing with Python."
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category = "main"
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optional = false
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python-versions = ">=3.7,<3.11"
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python-versions = ">=3.8"
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[[package]]
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name = "olefile"
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@ -419,7 +420,7 @@ et-xmlfile = "*"
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[[package]]
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name = "pandas"
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version = "1.3.4"
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version = "1.3.5"
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description = "Powerful data structures for data analysis, time series, and statistics"
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category = "main"
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optional = false
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@ -490,11 +491,11 @@ python-versions = "*"
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[[package]]
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name = "platformdirs"
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version = "2.4.0"
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version = "2.4.1"
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description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
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category = "dev"
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optional = false
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python-versions = ">=3.6"
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python-versions = ">=3.7"
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[package.extras]
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docs = ["Sphinx (>=4)", "furo (>=2021.7.5b38)", "proselint (>=0.10.2)", "sphinx-autodoc-typehints (>=1.12)"]
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@ -502,7 +503,7 @@ test = ["appdirs (==1.4.4)", "pytest (>=6)", "pytest-cov (>=2.7)", "pytest-mock
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[[package]]
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name = "prompt-toolkit"
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version = "3.0.23"
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version = "3.0.24"
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description = "Library for building powerful interactive command lines in Python"
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category = "main"
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optional = false
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@ -537,7 +538,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
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[[package]]
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name = "pygments"
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version = "2.10.0"
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version = "2.11.2"
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description = "Pygments is a syntax highlighting package written in Python."
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category = "main"
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optional = false
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@ -597,7 +598,7 @@ python-versions = "*"
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[[package]]
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name = "pywin32"
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version = "302"
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version = "303"
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description = "Python for Window Extensions"
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category = "main"
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optional = false
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@ -617,7 +618,7 @@ py = {version = "*", markers = "implementation_name == \"pypy\""}
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[[package]]
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name = "rdflib"
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version = "6.0.2"
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version = "6.1.1"
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description = "RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information."
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category = "main"
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optional = false
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@ -630,7 +631,7 @@ pyparsing = "*"
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[package.extras]
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docs = ["sphinx (<5)", "sphinxcontrib-apidoc"]
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html = ["html5lib"]
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tests = ["html5lib", "networkx", "nose (==1.3.7)", "nose-timer", "coverage", "black (==21.6b0)", "flake8", "doctest-ignore-unicode (==0.1.2)"]
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tests = ["berkeleydb", "html5lib", "networkx", "pytest", "pytest-cov", "pytest-subtests"]
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[[package]]
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name = "six"
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@ -642,7 +643,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
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[[package]]
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name = "sqlalchemy"
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version = "1.4.28"
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version = "1.4.29"
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description = "Database Abstraction Library"
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category = "dev"
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optional = false
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@ -682,7 +683,7 @@ python-versions = "*"
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[[package]]
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name = "tomli"
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version = "1.2.2"
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version = "1.2.3"
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description = "A lil' TOML parser"
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category = "dev"
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optional = false
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@ -933,16 +934,16 @@ greenlet = [
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{file = "greenlet-1.1.2.tar.gz", hash = "sha256:e30f5ea4ae2346e62cedde8794a56858a67b878dd79f7df76a0767e356b1744a"},
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]
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ipykernel = [
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{file = "ipykernel-6.6.0-py3-none-any.whl", hash = "sha256:82ded8919fa7f5483be2b6219c3b13380d93faab1fc49cc2cfcd10e9e24cc158"},
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{file = "ipykernel-6.6.0.tar.gz", hash = "sha256:3a227788216b43982d9ac28195949467627b0d16e6b8af9741d95dcaa8c41a89"},
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{file = "ipykernel-6.6.1-py3-none-any.whl", hash = "sha256:de99f6c1caa72578305cc96122ee3a19669e9c1958694a2b564ed1be28240ab9"},
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{file = "ipykernel-6.6.1.tar.gz", hash = "sha256:91ff0058b45660aad4a68088041059c0d378cd53fc8aff60e5abc91bcc049353"},
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]
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ipython = [
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{file = "ipython-7.30.1-py3-none-any.whl", hash = "sha256:fc60ef843e0863dd4e24ab2bb5698f071031332801ecf8d1aeb4fb622056545c"},
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{file = "ipython-7.30.1.tar.gz", hash = "sha256:cb6aef731bf708a7727ab6cde8df87f0281b1427d41e65d62d4b68934fa54e97"},
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{file = "ipython-7.31.0-py3-none-any.whl", hash = "sha256:4c4234cdcc6b8f87c5b5c7af9899aa696ac5cfcf0e9f6d0688018bbee5c73bce"},
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{file = "ipython-7.31.0.tar.gz", hash = "sha256:346c74db7312c41fa566d3be45d2e759a528dcc2994fe48aac1a03a70cd668a3"},
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]
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isodate = [
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{file = "isodate-0.6.0-py2.py3-none-any.whl", hash = "sha256:aa4d33c06640f5352aca96e4b81afd8ab3b47337cc12089822d6f322ac772c81"},
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{file = "isodate-0.6.0.tar.gz", hash = "sha256:2e364a3d5759479cdb2d37cce6b9376ea504db2ff90252a2e5b7cc89cc9ff2d8"},
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{file = "isodate-0.6.1-py2.py3-none-any.whl", hash = "sha256:0751eece944162659049d35f4f549ed815792b38793f07cf73381c1c87cbed96"},
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{file = "isodate-0.6.1.tar.gz", hash = "sha256:48c5881de7e8b0a0d648cb024c8062dc84e7b840ed81e864c7614fd3c127bde9"},
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]
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isort = [
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{file = "isort-5.10.1-py3-none-any.whl", hash = "sha256:6f62d78e2f89b4500b080fe3a81690850cd254227f27f75c3a0c491a1f351ba7"},
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@ -977,36 +978,28 @@ nest-asyncio = [
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{file = "nest_asyncio-1.5.4.tar.gz", hash = "sha256:f969f6013a16fadb4adcf09d11a68a4f617c6049d7af7ac2c676110169a63abd"},
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]
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numpy = [
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{file = "numpy-1.21.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8890b3360f345e8360133bc078d2dacc2843b6ee6059b568781b15b97acbe39f"},
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{file = "numpy-1.21.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:69077388c5a4b997442b843dbdc3a85b420fb693ec8e33020bb24d647c164fa5"},
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{file = "numpy-1.21.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:e89717274b41ebd568cd7943fc9418eeb49b1785b66031bc8a7f6300463c5898"},
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{file = "numpy-1.21.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0b78ecfa070460104934e2caf51694ccd00f37d5e5dbe76f021b1b0b0d221823"},
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{file = "numpy-1.21.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:615d4e328af7204c13ae3d4df7615a13ff60a49cb0d9106fde07f541207883ca"},
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{file = "numpy-1.21.4-cp310-cp310-win_amd64.whl", hash = "sha256:1403b4e2181fc72664737d848b60e65150f272fe5a1c1cbc16145ed43884065a"},
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{file = "numpy-1.21.4-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:74b85a17528ca60cf98381a5e779fc0264b4a88b46025e6bcbe9621f46bb3e63"},
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{file = "numpy-1.21.4-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:92aafa03da8658609f59f18722b88f0a73a249101169e28415b4fa148caf7e41"},
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{file = "numpy-1.22.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:0cfe07133fd00b27edee5e6385e333e9eeb010607e8a46e1cd673f05f8596595"},
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|
||||
{file = "numpy-1.22.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b55b953a1bdb465f4dc181758570d321db4ac23005f90ffd2b434cc6609a63dd"},
|
||||
{file = "numpy-1.22.0-cp39-cp39-win32.whl", hash = "sha256:5a311ee4d983c487a0ab546708edbdd759393a3dc9cd30305170149fedd23c88"},
|
||||
{file = "numpy-1.22.0-cp39-cp39-win_amd64.whl", hash = "sha256:a97a954a8c2f046d3817c2bce16e3c7e9a9c2afffaf0400f5c16df5172a67c9c"},
|
||||
{file = "numpy-1.22.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb02929b0d6bfab4c48a79bd805bd7419114606947ec8284476167415171f55b"},
|
||||
{file = "numpy-1.22.0.zip", hash = "sha256:a955e4128ac36797aaffd49ab44ec74a71c11d6938df83b1285492d277db5397"},
|
||||
]
|
||||
olefile = [
|
||||
{file = "olefile-0.46.zip", hash = "sha256:133b031eaf8fd2c9399b78b8bc5b8fcbe4c31e85295749bb17a87cba8f3c3964"},
|
||||
|
|
@ -1016,30 +1009,31 @@ openpyxl = [
|
|||
{file = "openpyxl-3.0.9.tar.gz", hash = "sha256:40f568b9829bf9e446acfffce30250ac1fa39035124d55fc024025c41481c90f"},
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]
|
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pandas = [
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|
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|
||||
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{file = "pandas-1.3.4-cp37-cp37m-win_amd64.whl", hash = "sha256:eaca36a80acaacb8183930e2e5ad7f71539a66805d6204ea88736570b2876a7b"},
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||||
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{file = "pandas-1.3.4-cp39-cp39-win32.whl", hash = "sha256:003ba92db58b71a5f8add604a17a059f3068ef4e8c0c365b088468d0d64935fd"},
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{file = "pandas-1.3.4-cp39-cp39-win_amd64.whl", hash = "sha256:a51528192755f7429c5bcc9e80832c517340317c861318fea9cea081b57c9afd"},
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{file = "pandas-1.3.4.tar.gz", hash = "sha256:a2aa18d3f0b7d538e21932f637fbfe8518d085238b429e4790a35e1e44a96ffc"},
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{file = "pandas-1.3.5-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:62d5b5ce965bae78f12c1c0df0d387899dd4211ec0bdc52822373f13a3a022b9"},
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{file = "pandas-1.3.5-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fd541ab09e1f80a2a1760032d665f6e032d8e44055d602d65eeea6e6e85498cb"},
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{file = "pandas-1.3.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2651d75b9a167cc8cc572cf787ab512d16e316ae00ba81874b560586fa1325e0"},
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{file = "pandas-1.3.5-cp310-cp310-win_amd64.whl", hash = "sha256:aaf183a615ad790801fa3cf2fa450e5b6d23a54684fe386f7e3208f8b9bfbef6"},
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{file = "pandas-1.3.5-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:344295811e67f8200de2390093aeb3c8309f5648951b684d8db7eee7d1c81fb7"},
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{file = "pandas-1.3.5-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:552020bf83b7f9033b57cbae65589c01e7ef1544416122da0c79140c93288f56"},
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{file = "pandas-1.3.5-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5cce0c6bbeb266b0e39e35176ee615ce3585233092f685b6a82362523e59e5b4"},
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{file = "pandas-1.3.5-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7d28a3c65463fd0d0ba8bbb7696b23073efee0510783340a44b08f5e96ffce0c"},
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{file = "pandas-1.3.5-cp37-cp37m-win32.whl", hash = "sha256:a62949c626dd0ef7de11de34b44c6475db76995c2064e2d99c6498c3dba7fe58"},
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{file = "pandas-1.3.5-cp37-cp37m-win_amd64.whl", hash = "sha256:8025750767e138320b15ca16d70d5cdc1886e8f9cc56652d89735c016cd8aea6"},
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{file = "pandas-1.3.5-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5f261553a1e9c65b7a310302b9dbac31cf0049a51695c14ebe04e4bfd4a96f02"},
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{file = "pandas-1.3.5-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8b6dbec5f3e6d5dc80dcfee250e0a2a652b3f28663492f7dab9a24416a48ac39"},
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{file = "pandas-1.3.5-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d3bc49af96cd6285030a64779de5b3688633a07eb75c124b0747134a63f4c05f"},
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{file = "pandas-1.3.5-cp38-cp38-win32.whl", hash = "sha256:b6b87b2fb39e6383ca28e2829cddef1d9fc9e27e55ad91ca9c435572cdba51bf"},
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{file = "pandas-1.3.5-cp38-cp38-win_amd64.whl", hash = "sha256:a395692046fd8ce1edb4c6295c35184ae0c2bbe787ecbe384251da609e27edcb"},
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{file = "pandas-1.3.5-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:bd971a3f08b745a75a86c00b97f3007c2ea175951286cdda6abe543e687e5f2f"},
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{file = "pandas-1.3.5-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:37f06b59e5bc05711a518aa10beaec10942188dccb48918bb5ae602ccbc9f1a0"},
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{file = "pandas-1.3.5-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2c21778a688d3712d35710501f8001cdbf96eb70a7c587a3d5613573299fdca6"},
|
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{file = "pandas-1.3.5-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:3345343206546545bc26a05b4602b6a24385b5ec7c75cb6059599e3d56831da2"},
|
||||
{file = "pandas-1.3.5-cp39-cp39-win32.whl", hash = "sha256:c69406a2808ba6cf580c2255bcf260b3f214d2664a3a4197d0e640f573b46fd3"},
|
||||
{file = "pandas-1.3.5-cp39-cp39-win_amd64.whl", hash = "sha256:32e1a26d5ade11b547721a72f9bfc4bd113396947606e00d5b4a5b79b3dcb006"},
|
||||
{file = "pandas-1.3.5.tar.gz", hash = "sha256:1e4285f5de1012de20ca46b188ccf33521bff61ba5c5ebd78b4fb28e5416a9f1"},
|
||||
]
|
||||
parsedatetime = [
|
||||
{file = "parsedatetime-2.4-py2-none-any.whl", hash = "sha256:9ee3529454bf35c40a77115f5a596771e59e1aee8c53306f346c461b8e913094"},
|
||||
|
|
@ -1062,12 +1056,12 @@ pickleshare = [
|
|||
{file = "pickleshare-0.7.5.tar.gz", hash = "sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca"},
|
||||
]
|
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platformdirs = [
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||||
{file = "platformdirs-2.4.0-py3-none-any.whl", hash = "sha256:8868bbe3c3c80d42f20156f22e7131d2fb321f5bc86a2a345375c6481a67021d"},
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{file = "platformdirs-2.4.0.tar.gz", hash = "sha256:367a5e80b3d04d2428ffa76d33f124cf11e8fff2acdaa9b43d545f5c7d661ef2"},
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{file = "platformdirs-2.4.1-py3-none-any.whl", hash = "sha256:1d7385c7db91728b83efd0ca99a5afb296cab9d0ed8313a45ed8ba17967ecfca"},
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{file = "platformdirs-2.4.1.tar.gz", hash = "sha256:440633ddfebcc36264232365d7840a970e75e1018d15b4327d11f91909045fda"},
|
||||
]
|
||||
prompt-toolkit = [
|
||||
{file = "prompt_toolkit-3.0.23-py3-none-any.whl", hash = "sha256:5f29d62cb7a0ecacfa3d8ceea05a63cd22500543472d64298fc06ddda906b25d"},
|
||||
{file = "prompt_toolkit-3.0.23.tar.gz", hash = "sha256:7053aba00895473cb357819358ef33f11aa97e4ac83d38efb123e5649ceeecaf"},
|
||||
{file = "prompt_toolkit-3.0.24-py3-none-any.whl", hash = "sha256:e56f2ff799bacecd3e88165b1e2f5ebf9bcd59e80e06d395fa0cc4b8bd7bb506"},
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{file = "prompt_toolkit-3.0.24.tar.gz", hash = "sha256:1bb05628c7d87b645974a1bad3f17612be0c29fa39af9f7688030163f680bad6"},
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]
|
||||
ptyprocess = [
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||||
{file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
|
||||
|
|
@ -1082,8 +1076,8 @@ pycparser = [
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|||
{file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
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]
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pygments = [
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{file = "Pygments-2.10.0-py3-none-any.whl", hash = "sha256:b8e67fe6af78f492b3c4b3e2970c0624cbf08beb1e493b2c99b9fa1b67a20380"},
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{file = "Pygments-2.10.0.tar.gz", hash = "sha256:f398865f7eb6874156579fdf36bc840a03cab64d1cde9e93d68f46a425ec52c6"},
|
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{file = "Pygments-2.11.2-py3-none-any.whl", hash = "sha256:44238f1b60a76d78fc8ca0528ee429702aae011c265fe6a8dd8b63049ae41c65"},
|
||||
{file = "Pygments-2.11.2.tar.gz", hash = "sha256:4e426f72023d88d03b2fa258de560726ce890ff3b630f88c21cbb8b2503b8c6a"},
|
||||
]
|
||||
pyparsing = [
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||||
{file = "pyparsing-3.0.6-py3-none-any.whl", hash = "sha256:04ff808a5b90911829c55c4e26f75fa5ca8a2f5f36aa3a51f68e27033341d3e4"},
|
||||
|
|
@ -1106,16 +1100,18 @@ pytz = [
|
|||
{file = "pytz-2021.3.tar.gz", hash = "sha256:acad2d8b20a1af07d4e4c9d2e9285c5ed9104354062f275f3fcd88dcef4f1326"},
|
||||
]
|
||||
pywin32 = [
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||||
{file = "pywin32-302-cp310-cp310-win32.whl", hash = "sha256:251b7a9367355ccd1a4cd69cd8dd24bd57b29ad83edb2957cfa30f7ed9941efa"},
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|
@ -1167,57 +1163,58 @@ pyzmq = [
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|
||||
{file = "text_unidecode-1.3-py2.py3-none-any.whl", hash = "sha256:1311f10e8b895935241623731c2ba64f4c455287888b18189350b67134a822e8"},
|
||||
]
|
||||
tomli = [
|
||||
{file = "tomli-1.2.2-py3-none-any.whl", hash = "sha256:f04066f68f5554911363063a30b108d2b5a5b1a010aa8b6132af78489fe3aade"},
|
||||
{file = "tomli-1.2.2.tar.gz", hash = "sha256:c6ce0015eb38820eaf32b5db832dbc26deb3dd427bd5f6556cf0acac2c214fee"},
|
||||
{file = "tomli-1.2.3-py3-none-any.whl", hash = "sha256:e3069e4be3ead9668e21cb9b074cd948f7b3113fd9c8bba083f48247aab8b11c"},
|
||||
{file = "tomli-1.2.3.tar.gz", hash = "sha256:05b6166bff487dc068d322585c7ea4ef78deed501cc124060e0f238e89a9231f"},
|
||||
]
|
||||
tornado = [
|
||||
{file = "tornado-6.1-cp35-cp35m-macosx_10_9_x86_64.whl", hash = "sha256:d371e811d6b156d82aa5f9a4e08b58debf97c302a35714f6f45e35139c332e32"},
|
||||
|
|
|
|||
Loading…
Reference in New Issue