feat: organize deps
feat: install mypy + flake8 Former-commit-id: 4407267fc6dcc9d57dee9fbf6a237ef3e591c24e [formerly 62975cac35edef005c3faee38f18e062fa7a152c] Former-commit-id: b3d239adf8e334f97aa509684a7d6a0c6ebfeb11
This commit is contained in:
Laurent Fainsin
parent
85c2febcac
commit
ea9430a1ff
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@ -1,11 +1,11 @@
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repos:
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- repo: https://github.com/asottile/pyupgrade
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rev: v2.37.3
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rev: "v2.37.3"
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hooks:
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- id: pyupgrade
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- repo: https://github.com/pre-commit/pre-commit-hooks
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rev: "v4.1.0"
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rev: "v4.3.0"
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hooks:
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# - id: check-added-large-files
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- id: check-executables-have-shebangs
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9
.vscode/extensions.json
vendored
Normal file
9
.vscode/extensions.json
vendored
Normal file
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@ -0,0 +1,9 @@
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{
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"recommendations": [
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"ms-vscode-remote.remote-containers",
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"ms-azuretools.vscode-docker",
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"editorconfig.editorconfig",
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"njpwerner.autodocstring",
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"ms-python.python"
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]
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}
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2
.vscode/settings.json
vendored
2
.vscode/settings.json
vendored
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@ -4,7 +4,9 @@
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"editor.formatOnSave": true,
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"python.linting.enabled": true,
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"python.linting.lintOnSave": true,
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"python.linting.flake8Enabled": true,
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"python.linting.mypyEnabled": true,
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"python.linting.banditEnabled": true,
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"jupyter.debugJustMyCode": false,
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"[python]": {
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"editor.codeActionsOnSave": {
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365
poetry.lock
generated
365
poetry.lock
generated
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@ -110,6 +110,25 @@ category = "dev"
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optional = false
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python-versions = "*"
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[[package]]
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name = "bandit"
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version = "1.7.4"
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description = "Security oriented static analyser for python code."
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category = "dev"
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optional = false
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python-versions = ">=3.7"
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[package.dependencies]
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colorama = {version = ">=0.3.9", markers = "platform_system == \"Windows\""}
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GitPython = ">=1.0.1"
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PyYAML = ">=5.3.1"
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stevedore = ">=1.20.0"
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[package.extras]
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test = ["beautifulsoup4 (>=4.8.0)", "coverage (>=4.5.4)", "fixtures (>=3.0.0)", "flake8 (>=4.0.0)", "pylint (==1.9.4)", "stestr (>=2.5.0)", "testscenarios (>=0.5.0)", "testtools (>=2.3.0)", "toml"]
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toml = ["toml"]
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yaml = ["PyYAML"]
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[[package]]
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name = "black"
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version = "22.8.0"
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@ -142,20 +161,9 @@ category = "main"
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optional = false
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python-versions = "~=3.7"
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[[package]]
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name = "Cerberus"
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version = "1.3.4"
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description = "Lightweight, extensible schema and data validation tool for Python dictionaries."
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category = "main"
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optional = false
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python-versions = ">=2.7"
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[package.dependencies]
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setuptools = "*"
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[[package]]
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name = "certifi"
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version = "2022.6.15"
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version = "2022.6.15.1"
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description = "Python package for providing Mozilla's CA Bundle."
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category = "main"
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optional = false
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@ -306,11 +314,51 @@ python-versions = ">=3.7"
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docs = ["furo (>=2022.6.21)", "sphinx (>=5.1.1)", "sphinx-autodoc-typehints (>=1.19.1)"]
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testing = ["covdefaults (>=2.2)", "coverage (>=6.4.2)", "pytest (>=7.1.2)", "pytest-cov (>=3)", "pytest-timeout (>=2.1)"]
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[[package]]
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name = "flake8"
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version = "5.0.4"
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description = "the modular source code checker: pep8 pyflakes and co"
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category = "dev"
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optional = false
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python-versions = ">=3.6.1"
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[package.dependencies]
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mccabe = ">=0.7.0,<0.8.0"
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pycodestyle = ">=2.9.0,<2.10.0"
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pyflakes = ">=2.5.0,<2.6.0"
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[[package]]
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name = "flake8-docstrings"
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version = "1.6.0"
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description = "Extension for flake8 which uses pydocstyle to check docstrings"
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category = "dev"
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optional = false
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python-versions = "*"
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[package.dependencies]
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flake8 = ">=3"
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pydocstyle = ">=2.1"
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[[package]]
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name = "Flake8-pyproject"
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version = "1.1.0.post0"
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description = "Flake8 plug-in loading the configuration from pyproject.toml"
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category = "dev"
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optional = false
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python-versions = ">=3.6"
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[package.dependencies]
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Flake8 = ">=5,<6"
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TOMLi = {version = "*", markers = "python_version < \"3.11\""}
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[package.extras]
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test = ["pyTest", "pyTest-cov"]
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[[package]]
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name = "flatbuffers"
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version = "2.0.7"
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description = "The FlatBuffers serialization format for Python"
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category = "main"
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category = "dev"
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optional = false
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python-versions = "*"
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@ -450,17 +498,6 @@ six = ">=1.5.2"
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[package.extras]
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protobuf = ["grpcio-tools (>=1.48.1)"]
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[[package]]
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name = "h5py"
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version = "3.7.0"
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description = "Read and write HDF5 files from Python"
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category = "main"
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optional = false
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python-versions = ">=3.7"
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[package.dependencies]
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numpy = ">=1.14.5"
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[[package]]
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name = "humanfriendly"
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version = "10.0"
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@ -493,7 +530,7 @@ python-versions = ">=3.5"
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[[package]]
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name = "imageio"
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version = "2.21.2"
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version = "2.21.3"
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description = "Library for reading and writing a wide range of image, video, scientific, and volumetric data formats."
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category = "main"
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optional = false
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@ -749,11 +786,19 @@ python-versions = ">=3.5"
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[package.dependencies]
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traitlets = "*"
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[[package]]
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name = "mccabe"
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version = "0.7.0"
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description = "McCabe checker, plugin for flake8"
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category = "dev"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "mpmath"
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version = "1.2.1"
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description = "Python library for arbitrary-precision floating-point arithmetic"
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category = "main"
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category = "dev"
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optional = false
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python-versions = "*"
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@ -831,7 +876,7 @@ setuptools = "*"
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[[package]]
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name = "numpy"
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version = "1.23.2"
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version = "1.23.3"
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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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@ -839,7 +884,7 @@ python-versions = ">=3.8"
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[[package]]
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name = "oauthlib"
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version = "3.2.0"
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version = "3.2.1"
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description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
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category = "main"
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optional = false
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@ -854,7 +899,7 @@ signedtoken = ["cryptography (>=3.0.0)", "pyjwt (>=2.0.0,<3)"]
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name = "onnx"
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version = "1.12.0"
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description = "Open Neural Network Exchange"
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category = "main"
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category = "dev"
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optional = false
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python-versions = "*"
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@ -898,25 +943,6 @@ packaging = "*"
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protobuf = "*"
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sympy = "*"
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[[package]]
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name = "onnxruntime-training"
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version = "1.12.0"
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description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
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category = "main"
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optional = false
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python-versions = "*"
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[package.dependencies]
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cerberus = "*"
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flatbuffers = "*"
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h5py = "*"
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numpy = ">=1.16.6"
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onnx = "*"
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packaging = "*"
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protobuf = ">=3.12.2,<=3.20.1"
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setuptools = ">=41.4.0"
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sympy = "*"
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[[package]]
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name = "opencv-python-headless"
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version = "4.6.0.66"
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@ -972,6 +998,14 @@ category = "main"
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optional = false
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python-versions = "*"
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[[package]]
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name = "pbr"
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version = "5.10.0"
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description = "Python Build Reasonableness"
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category = "dev"
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optional = false
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python-versions = ">=2.6"
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[[package]]
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name = "pexpect"
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version = "4.8.0"
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@ -1133,6 +1167,14 @@ python-versions = ">=3.5"
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matplotlib = ">=2.1.0"
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numpy = "*"
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[[package]]
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name = "pycodestyle"
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version = "2.9.1"
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description = "Python style guide checker"
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category = "dev"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "pycparser"
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version = "2.21"
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@ -1149,6 +1191,28 @@ category = "main"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "pydocstyle"
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version = "6.1.1"
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description = "Python docstring style checker"
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category = "dev"
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optional = false
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python-versions = ">=3.6"
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[package.dependencies]
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snowballstemmer = "*"
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[package.extras]
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toml = ["toml"]
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[[package]]
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name = "pyflakes"
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version = "2.5.0"
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description = "passive checker of Python programs"
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category = "dev"
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optional = false
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python-versions = ">=3.6"
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[[package]]
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name = "Pygments"
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version = "2.13.0"
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@ -1192,7 +1256,7 @@ six = ">=1.5"
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[[package]]
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name = "pytorch-lightning"
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version = "1.7.4"
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version = "1.7.5"
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description = "PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate."
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category = "main"
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optional = false
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@ -1211,15 +1275,15 @@ tqdm = ">=4.57.0"
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typing-extensions = ">=4.0.0"
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[package.extras]
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all = ["cloudpickle (>=1.3)", "codecov (>=2.1)", "comet-ml (>=3.1.12)", "coverage (>=6.4)", "deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "fastapi", "gcsfs (>=2021.5.0)", "gym[classic_control] (>=0.17.0)", "hivemind (>=1.0.1)", "horovod (>=0.21.2,!=0.24.0)", "hydra-core (>=1.0.5)", "ipython[all]", "jsonargparse[signatures] (>=4.12.0)", "matplotlib (>3.1)", "mlflow (>=1.0.0)", "mypy (==0.971)", "neptune-client (>=0.10.0)", "omegaconf (>=2.0.5)", "onnxruntime", "pandas (>1.0)", "pre-commit (>=1.0)", "psutil", "pytest (>=7.0)", "pytest-cov", "pytest-forked", "pytest-rerunfailures (>=10.2)", "rich (>=10.14.0,!=10.15.0.a)", "scikit-learn (>0.22.1)", "test-tube (>=0.7.5)", "torchtext (>=0.10)", "torchvision (>=0.10)", "uvicorn", "wandb (>=0.10.22)"]
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all = ["cloudpickle (>=1.3)", "codecov (>=2.1)", "comet-ml (>=3.1.12)", "coverage (>=6.4)", "deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "fastapi", "gcsfs (>=2021.5.0)", "gym[classic_control] (>=0.17.0)", "hivemind (>=1.0.1)", "horovod (>=0.21.2,!=0.24.0)", "hydra-core (>=1.0.5)", "ipython[all]", "jsonargparse[signatures] (>=4.12.0)", "matplotlib (>3.1)", "mlflow (>=1.0.0)", "mypy (==0.971)", "neptune-client (>=0.10.0)", "omegaconf (>=2.0.5)", "onnxruntime", "pandas (>1.0)", "pre-commit (>=1.0)", "protobuf (<=3.20.1)", "psutil", "pytest (>=7.0)", "pytest-cov", "pytest-forked", "pytest-rerunfailures (>=10.2)", "rich (>=10.14.0,!=10.15.0.a)", "scikit-learn (>0.22.1)", "torchtext (>=0.10)", "torchvision (>=0.10)", "uvicorn", "wandb (>=0.10.22)"]
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deepspeed = ["deepspeed (>=0.6.0)"]
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dev = ["cloudpickle (>=1.3)", "codecov (>=2.1)", "comet-ml (>=3.1.12)", "coverage (>=6.4)", "fastapi", "gcsfs (>=2021.5.0)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.12.0)", "matplotlib (>3.1)", "mlflow (>=1.0.0)", "mypy (==0.971)", "neptune-client (>=0.10.0)", "omegaconf (>=2.0.5)", "onnxruntime", "pandas (>1.0)", "pre-commit (>=1.0)", "psutil", "pytest (>=7.0)", "pytest-cov", "pytest-forked", "pytest-rerunfailures (>=10.2)", "rich (>=10.14.0,!=10.15.0.a)", "scikit-learn (>0.22.1)", "test-tube (>=0.7.5)", "torchtext (>=0.10)", "uvicorn", "wandb (>=0.10.22)"]
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dev = ["cloudpickle (>=1.3)", "codecov (>=2.1)", "comet-ml (>=3.1.12)", "coverage (>=6.4)", "fastapi", "gcsfs (>=2021.5.0)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.12.0)", "matplotlib (>3.1)", "mlflow (>=1.0.0)", "mypy (==0.971)", "neptune-client (>=0.10.0)", "omegaconf (>=2.0.5)", "onnxruntime", "pandas (>1.0)", "pre-commit (>=1.0)", "protobuf (<=3.20.1)", "psutil", "pytest (>=7.0)", "pytest-cov", "pytest-forked", "pytest-rerunfailures (>=10.2)", "rich (>=10.14.0,!=10.15.0.a)", "scikit-learn (>0.22.1)", "torchtext (>=0.10)", "uvicorn", "wandb (>=0.10.22)"]
|
||||
examples = ["gym[classic_control] (>=0.17.0)", "ipython[all]", "torchvision (>=0.10)"]
|
||||
extra = ["gcsfs (>=2021.5.0)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.12.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "rich (>=10.14.0,!=10.15.0.a)", "torchtext (>=0.10)"]
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extra = ["gcsfs (>=2021.5.0)", "hydra-core (>=1.0.5)", "jsonargparse[signatures] (>=4.12.0)", "matplotlib (>3.1)", "omegaconf (>=2.0.5)", "protobuf (<=3.20.1)", "rich (>=10.14.0,!=10.15.0.a)", "torchtext (>=0.10)"]
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fairscale = ["fairscale (>=0.4.5)"]
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hivemind = ["hivemind (>=1.0.1)"]
|
||||
horovod = ["horovod (>=0.21.2,!=0.24.0)"]
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loggers = ["comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "neptune-client (>=0.10.0)", "test-tube (>=0.7.5)", "wandb (>=0.10.22)"]
|
||||
loggers = ["comet-ml (>=3.1.12)", "mlflow (>=1.0.0)", "neptune-client (>=0.10.0)", "wandb (>=0.10.22)"]
|
||||
strategies = ["deepspeed (>=0.6.0)", "fairscale (>=0.4.5)", "hivemind (>=1.0.1)", "horovod (>=0.21.2,!=0.24.0)"]
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test = ["cloudpickle (>=1.3)", "codecov (>=2.1)", "coverage (>=6.4)", "fastapi", "mypy (==0.971)", "onnxruntime", "pandas (>1.0)", "pre-commit (>=1.0)", "psutil", "pytest (>=7.0)", "pytest-cov", "pytest-forked", "pytest-rerunfailures (>=10.2)", "scikit-learn (>0.22.1)", "uvicorn"]
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@ -1488,6 +1552,14 @@ category = "main"
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optional = false
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||||
python-versions = ">=3.6"
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||||
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[[package]]
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||||
name = "snowballstemmer"
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||||
version = "2.2.0"
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||||
description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
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||||
category = "dev"
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||||
optional = false
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||||
python-versions = "*"
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||||
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||||
[[package]]
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||||
name = "stack-data"
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||||
version = "0.5.0"
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||||
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@ -1504,11 +1576,22 @@ pure-eval = "*"
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|||
[package.extras]
|
||||
tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
|
||||
|
||||
[[package]]
|
||||
name = "stevedore"
|
||||
version = "4.0.0"
|
||||
description = "Manage dynamic plugins for Python applications"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
|
||||
[package.dependencies]
|
||||
pbr = ">=2.0.0,<2.1.0 || >2.1.0"
|
||||
|
||||
[[package]]
|
||||
name = "sympy"
|
||||
version = "1.11.1"
|
||||
description = "Computer algebra system (CAS) in Python"
|
||||
category = "main"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
|
||||
|
|
@ -1688,6 +1771,14 @@ python-versions = ">=3.7"
|
|||
[package.extras]
|
||||
test = ["pre-commit", "pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "types-PyYAML"
|
||||
version = "6.0.11"
|
||||
description = "Typing stubs for PyYAML"
|
||||
category = "dev"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.3.0"
|
||||
|
|
@ -1711,7 +1802,7 @@ socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"]
|
|||
|
||||
[[package]]
|
||||
name = "virtualenv"
|
||||
version = "20.16.4"
|
||||
version = "20.16.5"
|
||||
description = "Virtual Python Environment builder"
|
||||
category = "dev"
|
||||
optional = false
|
||||
|
|
@ -1728,7 +1819,7 @@ testing = ["coverage (>=6.2)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7
|
|||
|
||||
[[package]]
|
||||
name = "wandb"
|
||||
version = "0.13.2"
|
||||
version = "0.13.3"
|
||||
description = "A CLI and library for interacting with the Weights and Biases API."
|
||||
category = "main"
|
||||
optional = false
|
||||
|
|
@ -1759,7 +1850,7 @@ kubeflow = ["google-cloud-storage", "kubernetes", "minio", "sh"]
|
|||
launch = ["boto3", "botocore", "chardet", "google-cloud-storage", "iso8601", "kubernetes", "nbconvert", "nbformat", "typing-extensions"]
|
||||
media = ["bokeh", "moviepy", "numpy", "pillow", "plotly", "rdkit-pypi", "soundfile"]
|
||||
models = ["cloudpickle"]
|
||||
sweeps = ["sweeps (>=0.1.0)"]
|
||||
sweeps = ["sweeps (>=0.2.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "wcwidth"
|
||||
|
|
@ -1821,7 +1912,7 @@ testing = ["func-timeout", "jaraco.itertools", "pytest (>=6)", "pytest-black (>=
|
|||
[metadata]
|
||||
lock-version = "1.1"
|
||||
python-versions = ">=3.8,<3.11"
|
||||
content-hash = "7bfd78b5b905b80524e0e85692f28b29f7b5a0fa6ad395ab31dc5d0d2d61f60d"
|
||||
content-hash = "29a47327e618883870cd556a7d1c7a886eed762f0392fefceff26e2ddd743d7b"
|
||||
|
||||
[metadata.files]
|
||||
absl-py = [
|
||||
|
|
@ -1930,6 +2021,10 @@ backcall = [
|
|||
{file = "backcall-0.2.0-py2.py3-none-any.whl", hash = "sha256:fbbce6a29f263178a1f7915c1940bde0ec2b2a967566fe1c65c1dfb7422bd255"},
|
||||
{file = "backcall-0.2.0.tar.gz", hash = "sha256:5cbdbf27be5e7cfadb448baf0aa95508f91f2bbc6c6437cd9cd06e2a4c215e1e"},
|
||||
]
|
||||
bandit = [
|
||||
{file = "bandit-1.7.4-py3-none-any.whl", hash = "sha256:412d3f259dab4077d0e7f0c11f50f650cc7d10db905d98f6520a95a18049658a"},
|
||||
{file = "bandit-1.7.4.tar.gz", hash = "sha256:2d63a8c573417bae338962d4b9b06fbc6080f74ecd955a092849e1e65c717bd2"},
|
||||
]
|
||||
black = [
|
||||
{file = "black-22.8.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ce957f1d6b78a8a231b18e0dd2d94a33d2ba738cd88a7fe64f53f659eea49fdd"},
|
||||
{file = "black-22.8.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:5107ea36b2b61917956d018bd25129baf9ad1125e39324a9b18248d362156a27"},
|
||||
|
|
@ -1959,12 +2054,9 @@ cachetools = [
|
|||
{file = "cachetools-5.2.0-py3-none-any.whl", hash = "sha256:f9f17d2aec496a9aa6b76f53e3b614c965223c061982d434d160f930c698a9db"},
|
||||
{file = "cachetools-5.2.0.tar.gz", hash = "sha256:6a94c6402995a99c3970cc7e4884bb60b4a8639938157eeed436098bf9831757"},
|
||||
]
|
||||
Cerberus = [
|
||||
{file = "Cerberus-1.3.4.tar.gz", hash = "sha256:d1b21b3954b2498d9a79edf16b3170a3ac1021df88d197dc2ce5928ba519237c"},
|
||||
]
|
||||
certifi = [
|
||||
{file = "certifi-2022.6.15-py3-none-any.whl", hash = "sha256:fe86415d55e84719d75f8b69414f6438ac3547d2078ab91b67e779ef69378412"},
|
||||
{file = "certifi-2022.6.15.tar.gz", hash = "sha256:84c85a9078b11105f04f3036a9482ae10e4621616db313fe045dd24743a0820d"},
|
||||
{file = "certifi-2022.6.15.1-py3-none-any.whl", hash = "sha256:43dadad18a7f168740e66944e4fa82c6611848ff9056ad910f8f7a3e46ab89e0"},
|
||||
{file = "certifi-2022.6.15.1.tar.gz", hash = "sha256:cffdcd380919da6137f76633531a5817e3a9f268575c128249fb637e4f9e73fb"},
|
||||
]
|
||||
cffi = [
|
||||
{file = "cffi-1.15.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:a66d3508133af6e8548451b25058d5812812ec3798c886bf38ed24a98216fab2"},
|
||||
|
|
@ -2104,6 +2196,17 @@ filelock = [
|
|||
{file = "filelock-3.8.0-py3-none-any.whl", hash = "sha256:617eb4e5eedc82fc5f47b6d61e4d11cb837c56cb4544e39081099fa17ad109d4"},
|
||||
{file = "filelock-3.8.0.tar.gz", hash = "sha256:55447caa666f2198c5b6b13a26d2084d26fa5b115c00d065664b2124680c4edc"},
|
||||
]
|
||||
flake8 = [
|
||||
{file = "flake8-5.0.4-py2.py3-none-any.whl", hash = "sha256:7a1cf6b73744f5806ab95e526f6f0d8c01c66d7bbe349562d22dfca20610b248"},
|
||||
{file = "flake8-5.0.4.tar.gz", hash = "sha256:6fbe320aad8d6b95cec8b8e47bc933004678dc63095be98528b7bdd2a9f510db"},
|
||||
]
|
||||
flake8-docstrings = [
|
||||
{file = "flake8-docstrings-1.6.0.tar.gz", hash = "sha256:9fe7c6a306064af8e62a055c2f61e9eb1da55f84bb39caef2b84ce53708ac34b"},
|
||||
{file = "flake8_docstrings-1.6.0-py2.py3-none-any.whl", hash = "sha256:99cac583d6c7e32dd28bbfbef120a7c0d1b6dde4adb5a9fd441c4227a6534bde"},
|
||||
]
|
||||
Flake8-pyproject = [
|
||||
{file = "flake8_pyproject-1.1.0.post0-py3-none-any.whl", hash = "sha256:55bc7cbb4272dca45ba42521954452be9d443237fa9b78a09d0424bbd5c94fab"},
|
||||
]
|
||||
flatbuffers = [
|
||||
{file = "flatbuffers-2.0.7-py2.py3-none-any.whl", hash = "sha256:71e135d533be527192819aaab757c5e3d109cb10fbb01e687f6bdb7a61ad39d1"},
|
||||
{file = "flatbuffers-2.0.7.tar.gz", hash = "sha256:0ae7d69c5b82bf41962ca5fde9cc43033bc9501311d975fd5a25e8a7d29c1245"},
|
||||
|
|
@ -2241,28 +2344,6 @@ grpcio = [
|
|||
{file = "grpcio-1.48.1-cp39-cp39-win_amd64.whl", hash = "sha256:2b6c336409937fd1cd2bf78eb72651f44d292d88da5e63059a4e8bd01b9d7411"},
|
||||
{file = "grpcio-1.48.1.tar.gz", hash = "sha256:660217eccd2943bf23ea9a36e2a292024305aec04bf747fbcff1f5032b83610e"},
|
||||
]
|
||||
h5py = [
|
||||
{file = "h5py-3.7.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d77af42cb751ad6cc44f11bae73075a07429a5cf2094dfde2b1e716e059b3911"},
|
||||
{file = "h5py-3.7.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:63beb8b7b47d0896c50de6efb9a1eaa81dbe211f3767e7dd7db159cea51ba37a"},
|
||||
{file = "h5py-3.7.0-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:04e2e1e2fc51b8873e972a08d2f89625ef999b1f2d276199011af57bb9fc7851"},
|
||||
{file = "h5py-3.7.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f73307c876af49aa869ec5df1818e9bb0bdcfcf8a5ba773cc45a4fba5a286a5c"},
|
||||
{file = "h5py-3.7.0-cp310-cp310-win_amd64.whl", hash = "sha256:f514b24cacdd983e61f8d371edac8c1b780c279d0acb8485639e97339c866073"},
|
||||
{file = "h5py-3.7.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:43fed4d13743cf02798a9a03a360a88e589d81285e72b83f47d37bb64ed44881"},
|
||||
{file = "h5py-3.7.0-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:c038399ce09a58ff8d89ec3e62f00aa7cb82d14f34e24735b920e2a811a3a426"},
|
||||
{file = "h5py-3.7.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03d64fb86bb86b978928bad923b64419a23e836499ec6363e305ad28afd9d287"},
|
||||
{file = "h5py-3.7.0-cp37-cp37m-win_amd64.whl", hash = "sha256:e5b7820b75f9519499d76cc708e27242ccfdd9dfb511d6deb98701961d0445aa"},
|
||||
{file = "h5py-3.7.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:a9351d729ea754db36d175098361b920573fdad334125f86ac1dd3a083355e20"},
|
||||
{file = "h5py-3.7.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:6776d896fb90c5938de8acb925e057e2f9f28755f67ec3edcbc8344832616c38"},
|
||||
{file = "h5py-3.7.0-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:0a047fddbe6951bce40e9cde63373c838a978c5e05a011a682db9ba6334b8e85"},
|
||||
{file = "h5py-3.7.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0798a9c0ff45f17d0192e4d7114d734cac9f8b2b2c76dd1d923c4d0923f27bb6"},
|
||||
{file = "h5py-3.7.0-cp38-cp38-win_amd64.whl", hash = "sha256:0d8de8cb619fc597da7cf8cdcbf3b7ff8c5f6db836568afc7dc16d21f59b2b49"},
|
||||
{file = "h5py-3.7.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:f084bbe816907dfe59006756f8f2d16d352faff2d107f4ffeb1d8de126fc5dc7"},
|
||||
{file = "h5py-3.7.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:1fcb11a2dc8eb7ddcae08afd8fae02ba10467753a857fa07a404d700a93f3d53"},
|
||||
{file = "h5py-3.7.0-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:ed43e2cc4f511756fd664fb45d6b66c3cbed4e3bd0f70e29c37809b2ae013c44"},
|
||||
{file = "h5py-3.7.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9e7535df5ee3dc3e5d1f408fdfc0b33b46bc9b34db82743c82cd674d8239b9ad"},
|
||||
{file = "h5py-3.7.0-cp39-cp39-win_amd64.whl", hash = "sha256:9e2ad2aa000f5b1e73b5dfe22f358ca46bf1a2b6ca394d9659874d7fc251731a"},
|
||||
{file = "h5py-3.7.0.tar.gz", hash = "sha256:3fcf37884383c5da64846ab510190720027dca0768def34dd8dcb659dbe5cbf3"},
|
||||
]
|
||||
humanfriendly = [
|
||||
{file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
|
||||
{file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
|
||||
|
|
@ -2276,8 +2357,8 @@ idna = [
|
|||
{file = "idna-3.3.tar.gz", hash = "sha256:9d643ff0a55b762d5cdb124b8eaa99c66322e2157b69160bc32796e824360e6d"},
|
||||
]
|
||||
imageio = [
|
||||
{file = "imageio-2.21.2-py3-none-any.whl", hash = "sha256:abe8aa4f2ac71a1b79094a01eb46d3acc150d11b4b79dbe353edfefb566ad541"},
|
||||
{file = "imageio-2.21.2.tar.gz", hash = "sha256:5702e7b4874bdb2f428b08c7491699b44842129d412cdaa7177ba7ff059deb2c"},
|
||||
{file = "imageio-2.21.3-py3-none-any.whl", hash = "sha256:f8ada7a1cab07a4c437c3367bac271ff3010cf71275955825a5cde778543ca52"},
|
||||
{file = "imageio-2.21.3.tar.gz", hash = "sha256:b10a583c831c932f4afbea9e8403082d2a76b1d30d7555b777ceb70441890b3c"},
|
||||
]
|
||||
importlib-metadata = [
|
||||
{file = "importlib_metadata-4.12.0-py3-none-any.whl", hash = "sha256:7401a975809ea1fdc658c3aa4f78cc2195a0e019c5cbc4c06122884e9ae80c23"},
|
||||
|
|
@ -2472,6 +2553,10 @@ matplotlib-inline = [
|
|||
{file = "matplotlib-inline-0.1.6.tar.gz", hash = "sha256:f887e5f10ba98e8d2b150ddcf4702c1e5f8b3a20005eb0f74bfdbd360ee6f304"},
|
||||
{file = "matplotlib_inline-0.1.6-py3-none-any.whl", hash = "sha256:f1f41aab5328aa5aaea9b16d083b128102f8712542f819fe7e6a420ff581b311"},
|
||||
]
|
||||
mccabe = [
|
||||
{file = "mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e"},
|
||||
{file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
|
||||
]
|
||||
mpmath = [
|
||||
{file = "mpmath-1.2.1-py3-none-any.whl", hash = "sha256:604bc21bd22d2322a177c73bdb573994ef76e62edd595d17e00aff24b0667e5c"},
|
||||
{file = "mpmath-1.2.1.tar.gz", hash = "sha256:79ffb45cf9f4b101a807595bcb3e72e0396202e0b1d25d689134b48c4216a81a"},
|
||||
|
|
@ -2579,38 +2664,38 @@ nodeenv = [
|
|||
{file = "nodeenv-1.7.0.tar.gz", hash = "sha256:e0e7f7dfb85fc5394c6fe1e8fa98131a2473e04311a45afb6508f7cf1836fa2b"},
|
||||
]
|
||||
numpy = [
|
||||
{file = "numpy-1.23.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e603ca1fb47b913942f3e660a15e55a9ebca906857edfea476ae5f0fe9b457d5"},
|
||||
{file = "numpy-1.23.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:633679a472934b1c20a12ed0c9a6c9eb167fbb4cb89031939bfd03dd9dbc62b8"},
|
||||
{file = "numpy-1.23.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:17e5226674f6ea79e14e3b91bfbc153fdf3ac13f5cc54ee7bc8fdbe820a32da0"},
|
||||
{file = "numpy-1.23.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bdc02c0235b261925102b1bd586579b7158e9d0d07ecb61148a1799214a4afd5"},
|
||||
{file = "numpy-1.23.2-cp310-cp310-win32.whl", hash = "sha256:df28dda02c9328e122661f399f7655cdcbcf22ea42daa3650a26bce08a187450"},
|
||||
{file = "numpy-1.23.2-cp310-cp310-win_amd64.whl", hash = "sha256:8ebf7e194b89bc66b78475bd3624d92980fca4e5bb86dda08d677d786fefc414"},
|
||||
{file = "numpy-1.23.2-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:dc76bca1ca98f4b122114435f83f1fcf3c0fe48e4e6f660e07996abf2f53903c"},
|
||||
{file = "numpy-1.23.2-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ecfdd68d334a6b97472ed032b5b37a30d8217c097acfff15e8452c710e775524"},
|
||||
{file = "numpy-1.23.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5593f67e66dea4e237f5af998d31a43e447786b2154ba1ad833676c788f37cde"},
|
||||
{file = "numpy-1.23.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ac987b35df8c2a2eab495ee206658117e9ce867acf3ccb376a19e83070e69418"},
|
||||
{file = "numpy-1.23.2-cp311-cp311-win32.whl", hash = "sha256:d98addfd3c8728ee8b2c49126f3c44c703e2b005d4a95998e2167af176a9e722"},
|
||||
{file = "numpy-1.23.2-cp311-cp311-win_amd64.whl", hash = "sha256:8ecb818231afe5f0f568c81f12ce50f2b828ff2b27487520d85eb44c71313b9e"},
|
||||
{file = "numpy-1.23.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:909c56c4d4341ec8315291a105169d8aae732cfb4c250fbc375a1efb7a844f8f"},
|
||||
{file = "numpy-1.23.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:8247f01c4721479e482cc2f9f7d973f3f47810cbc8c65e38fd1bbd3141cc9842"},
|
||||
{file = "numpy-1.23.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b8b97a8a87cadcd3f94659b4ef6ec056261fa1e1c3317f4193ac231d4df70215"},
|
||||
{file = "numpy-1.23.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bd5b7ccae24e3d8501ee5563e82febc1771e73bd268eef82a1e8d2b4d556ae66"},
|
||||
{file = "numpy-1.23.2-cp38-cp38-win32.whl", hash = "sha256:9b83d48e464f393d46e8dd8171687394d39bc5abfe2978896b77dc2604e8635d"},
|
||||
{file = "numpy-1.23.2-cp38-cp38-win_amd64.whl", hash = "sha256:dec198619b7dbd6db58603cd256e092bcadef22a796f778bf87f8592b468441d"},
|
||||
{file = "numpy-1.23.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:4f41f5bf20d9a521f8cab3a34557cd77b6f205ab2116651f12959714494268b0"},
|
||||
{file = "numpy-1.23.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:806cc25d5c43e240db709875e947076b2826f47c2c340a5a2f36da5bb10c58d6"},
|
||||
{file = "numpy-1.23.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f9d84a24889ebb4c641a9b99e54adb8cab50972f0166a3abc14c3b93163f074"},
|
||||
{file = "numpy-1.23.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c403c81bb8ffb1c993d0165a11493fd4bf1353d258f6997b3ee288b0a48fce77"},
|
||||
{file = "numpy-1.23.2-cp39-cp39-win32.whl", hash = "sha256:cf8c6aed12a935abf2e290860af8e77b26a042eb7f2582ff83dc7ed5f963340c"},
|
||||
{file = "numpy-1.23.2-cp39-cp39-win_amd64.whl", hash = "sha256:5e28cd64624dc2354a349152599e55308eb6ca95a13ce6a7d5679ebff2962913"},
|
||||
{file = "numpy-1.23.2-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:806970e69106556d1dd200e26647e9bee5e2b3f1814f9da104a943e8d548ca38"},
|
||||
{file = "numpy-1.23.2-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2bd879d3ca4b6f39b7770829f73278b7c5e248c91d538aab1e506c628353e47f"},
|
||||
{file = "numpy-1.23.2-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:be6b350dfbc7f708d9d853663772a9310783ea58f6035eec649fb9c4371b5389"},
|
||||
{file = "numpy-1.23.2.tar.gz", hash = "sha256:b78d00e48261fbbd04aa0d7427cf78d18401ee0abd89c7559bbf422e5b1c7d01"},
|
||||
{file = "numpy-1.23.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c9f707b5bb73bf277d812ded9896f9512a43edff72712f31667d0a8c2f8e71ee"},
|
||||
{file = "numpy-1.23.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ffcf105ecdd9396e05a8e58e81faaaf34d3f9875f137c7372450baa5d77c9a54"},
|
||||
{file = "numpy-1.23.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ea3f98a0ffce3f8f57675eb9119f3f4edb81888b6874bc1953f91e0b1d4f440"},
|
||||
{file = "numpy-1.23.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:004f0efcb2fe1c0bd6ae1fcfc69cc8b6bf2407e0f18be308612007a0762b4089"},
|
||||
{file = "numpy-1.23.3-cp310-cp310-win32.whl", hash = "sha256:98dcbc02e39b1658dc4b4508442a560fe3ca5ca0d989f0df062534e5ca3a5c1a"},
|
||||
{file = "numpy-1.23.3-cp310-cp310-win_amd64.whl", hash = "sha256:39a664e3d26ea854211867d20ebcc8023257c1800ae89773cbba9f9e97bae036"},
|
||||
{file = "numpy-1.23.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1f27b5322ac4067e67c8f9378b41c746d8feac8bdd0e0ffede5324667b8a075c"},
|
||||
{file = "numpy-1.23.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2ad3ec9a748a8943e6eb4358201f7e1c12ede35f510b1a2221b70af4bb64295c"},
|
||||
{file = "numpy-1.23.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bdc9febce3e68b697d931941b263c59e0c74e8f18861f4064c1f712562903411"},
|
||||
{file = "numpy-1.23.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:301c00cf5e60e08e04d842fc47df641d4a181e651c7135c50dc2762ffe293dbd"},
|
||||
{file = "numpy-1.23.3-cp311-cp311-win32.whl", hash = "sha256:7cd1328e5bdf0dee621912f5833648e2daca72e3839ec1d6695e91089625f0b4"},
|
||||
{file = "numpy-1.23.3-cp311-cp311-win_amd64.whl", hash = "sha256:8355fc10fd33a5a70981a5b8a0de51d10af3688d7a9e4a34fcc8fa0d7467bb7f"},
|
||||
{file = "numpy-1.23.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bc6e8da415f359b578b00bcfb1d08411c96e9a97f9e6c7adada554a0812a6cc6"},
|
||||
{file = "numpy-1.23.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:22d43376ee0acd547f3149b9ec12eec2f0ca4a6ab2f61753c5b29bb3e795ac4d"},
|
||||
{file = "numpy-1.23.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a64403f634e5ffdcd85e0b12c08f04b3080d3e840aef118721021f9b48fc1460"},
|
||||
{file = "numpy-1.23.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efd9d3abe5774404becdb0748178b48a218f1d8c44e0375475732211ea47c67e"},
|
||||
{file = "numpy-1.23.3-cp38-cp38-win32.whl", hash = "sha256:f8c02ec3c4c4fcb718fdf89a6c6f709b14949408e8cf2a2be5bfa9c49548fd85"},
|
||||
{file = "numpy-1.23.3-cp38-cp38-win_amd64.whl", hash = "sha256:e868b0389c5ccfc092031a861d4e158ea164d8b7fdbb10e3b5689b4fc6498df6"},
|
||||
{file = "numpy-1.23.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:09f6b7bdffe57fc61d869a22f506049825d707b288039d30f26a0d0d8ea05164"},
|
||||
{file = "numpy-1.23.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8c79d7cf86d049d0c5089231a5bcd31edb03555bd93d81a16870aa98c6cfb79d"},
|
||||
{file = "numpy-1.23.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5d5420053bbb3dd64c30e58f9363d7a9c27444c3648e61460c1237f9ec3fa14"},
|
||||
{file = "numpy-1.23.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d5422d6a1ea9b15577a9432e26608c73a78faf0b9039437b075cf322c92e98e7"},
|
||||
{file = "numpy-1.23.3-cp39-cp39-win32.whl", hash = "sha256:c1ba66c48b19cc9c2975c0d354f24058888cdc674bebadceb3cdc9ec403fb5d1"},
|
||||
{file = "numpy-1.23.3-cp39-cp39-win_amd64.whl", hash = "sha256:78a63d2df1d947bd9d1b11d35564c2f9e4b57898aae4626638056ec1a231c40c"},
|
||||
{file = "numpy-1.23.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:17c0e467ade9bda685d5ac7f5fa729d8d3e76b23195471adae2d6a6941bd2c18"},
|
||||
{file = "numpy-1.23.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91b8d6768a75247026e951dce3b2aac79dc7e78622fc148329135ba189813584"},
|
||||
{file = "numpy-1.23.3-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:94c15ca4e52671a59219146ff584488907b1f9b3fc232622b47e2cf832e94fb8"},
|
||||
{file = "numpy-1.23.3.tar.gz", hash = "sha256:51bf49c0cd1d52be0a240aa66f3458afc4b95d8993d2d04f0d91fa60c10af6cd"},
|
||||
]
|
||||
oauthlib = [
|
||||
{file = "oauthlib-3.2.0-py3-none-any.whl", hash = "sha256:6db33440354787f9b7f3a6dbd4febf5d0f93758354060e802f6c06cb493022fe"},
|
||||
{file = "oauthlib-3.2.0.tar.gz", hash = "sha256:23a8208d75b902797ea29fd31fa80a15ed9dc2c6c16fe73f5d346f83f6fa27a2"},
|
||||
{file = "oauthlib-3.2.1-py3-none-any.whl", hash = "sha256:88e912ca1ad915e1dcc1c06fc9259d19de8deacd6fd17cc2df266decc2e49066"},
|
||||
{file = "oauthlib-3.2.1.tar.gz", hash = "sha256:1565237372795bf6ee3e5aba5e2a85bd5a65d0e2aa5c628b9a97b7d7a0da3721"},
|
||||
]
|
||||
onnx = [
|
||||
{file = "onnx-1.12.0-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:bdbd2578424c70836f4d0f9dda16c21868ddb07cc8192f9e8a176908b43d694b"},
|
||||
|
|
@ -2674,11 +2759,6 @@ onnxruntime-gpu = [
|
|||
{file = "onnxruntime_gpu-1.12.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8e46d0724ce54c5908c5760037b78de741fbd48962b370c29ebc20e608b30eda"},
|
||||
{file = "onnxruntime_gpu-1.12.1-cp39-cp39-win_amd64.whl", hash = "sha256:fd919373be35b9ba54210688265df38ad5e19a530449385c40dab51da407345d"},
|
||||
]
|
||||
onnxruntime-training = [
|
||||
{file = "onnxruntime_training-1.12.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:251c1bf2390c3bc932b29546e24d6575979a285daad1b4ba20014bd72a64be0e"},
|
||||
{file = "onnxruntime_training-1.12.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6ae6c388a4c9e2f3cb6e8a03f842907bfd53356b0128c9e548fa6779c7dfe9ac"},
|
||||
{file = "onnxruntime_training-1.12.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1994f08113611821bc19c6d1d6df84ed54ca2a9ac1c5efce8c09b3459f7bd75e"},
|
||||
]
|
||||
opencv-python-headless = [
|
||||
{file = "opencv-python-headless-4.6.0.66.tar.gz", hash = "sha256:d5291d7e10aa2c19cab6fd86f0d61af8617290ecd2d7ffcb051e446868d04cc5"},
|
||||
{file = "opencv_python_headless-4.6.0.66-cp36-abi3-macosx_10_15_x86_64.whl", hash = "sha256:21e70f8b0c04098cdf466d27184fe6c3820aaef944a22548db95099959c95889"},
|
||||
|
|
@ -2703,6 +2783,10 @@ pathspec = [
|
|||
pathtools = [
|
||||
{file = "pathtools-0.1.2.tar.gz", hash = "sha256:7c35c5421a39bb82e58018febd90e3b6e5db34c5443aaaf742b3f33d4655f1c0"},
|
||||
]
|
||||
pbr = [
|
||||
{file = "pbr-5.10.0-py2.py3-none-any.whl", hash = "sha256:da3e18aac0a3c003e9eea1a81bd23e5a3a75d745670dcf736317b7d966887fdf"},
|
||||
{file = "pbr-5.10.0.tar.gz", hash = "sha256:cfcc4ff8e698256fc17ea3ff796478b050852585aa5bae79ecd05b2ab7b39b9a"},
|
||||
]
|
||||
pexpect = [
|
||||
{file = "pexpect-4.8.0-py2.py3-none-any.whl", hash = "sha256:0b48a55dcb3c05f3329815901ea4fc1537514d6ba867a152b581d69ae3710937"},
|
||||
{file = "pexpect-4.8.0.tar.gz", hash = "sha256:fc65a43959d153d0114afe13997d439c22823a27cefceb5ff35c2178c6784c0c"},
|
||||
|
|
@ -2893,6 +2977,10 @@ pyasn1-modules = [
|
|||
pycocotools = [
|
||||
{file = "pycocotools-2.0.4.tar.gz", hash = "sha256:2ab586aa389b9657b6d73c2b9a827a3681f8d00f36490c2e8ab05902e3fd9e93"},
|
||||
]
|
||||
pycodestyle = [
|
||||
{file = "pycodestyle-2.9.1-py2.py3-none-any.whl", hash = "sha256:d1735fc58b418fd7c5f658d28d943854f8a849b01a5d0a1e6f3f3fdd0166804b"},
|
||||
{file = "pycodestyle-2.9.1.tar.gz", hash = "sha256:2c9607871d58c76354b697b42f5d57e1ada7d261c261efac224b664affdc5785"},
|
||||
]
|
||||
pycparser = [
|
||||
{file = "pycparser-2.21-py2.py3-none-any.whl", hash = "sha256:8ee45429555515e1f6b185e78100aea234072576aa43ab53aefcae078162fca9"},
|
||||
{file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
|
||||
|
|
@ -2901,6 +2989,14 @@ pyDeprecate = [
|
|||
{file = "pyDeprecate-0.3.2-py3-none-any.whl", hash = "sha256:ed86b68ed837e6465245904a3de2f59bf9eef78ac7a2502ee280533d04802457"},
|
||||
{file = "pyDeprecate-0.3.2.tar.gz", hash = "sha256:d481116cc5d7f6c473e7c4be820efdd9b90a16b594b350276e9e66a6cb5bdd29"},
|
||||
]
|
||||
pydocstyle = [
|
||||
{file = "pydocstyle-6.1.1-py3-none-any.whl", hash = "sha256:6987826d6775056839940041beef5c08cc7e3d71d63149b48e36727f70144dc4"},
|
||||
{file = "pydocstyle-6.1.1.tar.gz", hash = "sha256:1d41b7c459ba0ee6c345f2eb9ae827cab14a7533a88c5c6f7e94923f72df92dc"},
|
||||
]
|
||||
pyflakes = [
|
||||
{file = "pyflakes-2.5.0-py2.py3-none-any.whl", hash = "sha256:4579f67d887f804e67edb544428f264b7b24f435b263c4614f384135cea553d2"},
|
||||
{file = "pyflakes-2.5.0.tar.gz", hash = "sha256:491feb020dca48ccc562a8c0cbe8df07ee13078df59813b83959cbdada312ea3"},
|
||||
]
|
||||
Pygments = [
|
||||
{file = "Pygments-2.13.0-py3-none-any.whl", hash = "sha256:f643f331ab57ba3c9d89212ee4a2dabc6e94f117cf4eefde99a0574720d14c42"},
|
||||
{file = "Pygments-2.13.0.tar.gz", hash = "sha256:56a8508ae95f98e2b9bdf93a6be5ae3f7d8af858b43e02c5a2ff083726be40c1"},
|
||||
|
|
@ -2918,8 +3014,8 @@ python-dateutil = [
|
|||
{file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
|
||||
]
|
||||
pytorch-lightning = [
|
||||
{file = "pytorch-lightning-1.7.4.tar.gz", hash = "sha256:d80df235228a8f6d6b77df4bfa34b3d667d734bd40e960bb4ca553a2746523eb"},
|
||||
{file = "pytorch_lightning-1.7.4-py3-none-any.whl", hash = "sha256:464977d0a9a51ae1602b99e68ab0c50d2d820126de7de90c76fcbf770354094d"},
|
||||
{file = "pytorch-lightning-1.7.5.tar.gz", hash = "sha256:a5838ae990f0eef9a894fa863be3bc1f5594d2abba7848fb21317ba3e885d7cd"},
|
||||
{file = "pytorch_lightning-1.7.5-py3-none-any.whl", hash = "sha256:198d7b6595d2e08da51c5483bfa8aef5025d7a162bd745b274af935886ba5d83"},
|
||||
]
|
||||
PyWavelets = [
|
||||
{file = "PyWavelets-1.3.0-cp310-cp310-macosx_10_13_universal2.whl", hash = "sha256:eebaa9c28600da336743fefd650332460c132792660e70eb09abf343b0664b87"},
|
||||
|
|
@ -3043,6 +3139,7 @@ pyzmq = [
|
|||
{file = "pyzmq-23.2.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:48400b96788cdaca647021bf19a9cd668384f46e4d9c55cf045bdd17f65299c8"},
|
||||
{file = "pyzmq-23.2.1-cp37-cp37m-win32.whl", hash = "sha256:8a68f57b7a3f7b6b52ada79876be1efb97c8c0952423436e84d70cc139f16f0d"},
|
||||
{file = "pyzmq-23.2.1-cp37-cp37m-win_amd64.whl", hash = "sha256:9e5bf6e7239fc9687239de7a283aa8b801ab85371116045b33ae20132a1325d6"},
|
||||
{file = "pyzmq-23.2.1-cp38-cp38-macosx_10_15_universal2.whl", hash = "sha256:0ff6294e001129a9f22dcbfba186165c7e6f573c46de2704d76f873c94c65416"},
|
||||
{file = "pyzmq-23.2.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:ffc6b1623d0f9affb351db4ca61f432dca3628a5ee015f9bf2bfbe9c6836881c"},
|
||||
{file = "pyzmq-23.2.1-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:4d6f110c56f7d5b4d64dde3a382ae61b6d48174e30742859d8e971b18b6c9e5c"},
|
||||
{file = "pyzmq-23.2.1-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:9269fbfe3a4eb2009199120861c4571ef1655fdf6951c3e7f233567c94e8c602"},
|
||||
|
|
@ -3258,10 +3355,18 @@ smmap = [
|
|||
{file = "smmap-5.0.0-py3-none-any.whl", hash = "sha256:2aba19d6a040e78d8b09de5c57e96207b09ed71d8e55ce0959eeee6c8e190d94"},
|
||||
{file = "smmap-5.0.0.tar.gz", hash = "sha256:c840e62059cd3be204b0c9c9f74be2c09d5648eddd4580d9314c3ecde0b30936"},
|
||||
]
|
||||
snowballstemmer = [
|
||||
{file = "snowballstemmer-2.2.0-py2.py3-none-any.whl", hash = "sha256:c8e1716e83cc398ae16824e5572ae04e0d9fc2c6b985fb0f900f5f0c96ecba1a"},
|
||||
{file = "snowballstemmer-2.2.0.tar.gz", hash = "sha256:09b16deb8547d3412ad7b590689584cd0fe25ec8db3be37788be3810cbf19cb1"},
|
||||
]
|
||||
stack-data = [
|
||||
{file = "stack_data-0.5.0-py3-none-any.whl", hash = "sha256:66d2ebd3d7f29047612ead465b6cae5371006a71f45037c7e2507d01367bce3b"},
|
||||
{file = "stack_data-0.5.0.tar.gz", hash = "sha256:715c8855fbf5c43587b141e46cc9d9339cc0d1f8d6e0f98ed0d01c6cb974e29f"},
|
||||
]
|
||||
stevedore = [
|
||||
{file = "stevedore-4.0.0-py3-none-any.whl", hash = "sha256:87e4d27fe96d0d7e4fc24f0cbe3463baae4ec51e81d95fbe60d2474636e0c7d8"},
|
||||
{file = "stevedore-4.0.0.tar.gz", hash = "sha256:f82cc99a1ff552310d19c379827c2c64dd9f85a38bcd5559db2470161867b786"},
|
||||
]
|
||||
sympy = [
|
||||
{file = "sympy-1.11.1-py3-none-any.whl", hash = "sha256:938f984ee2b1e8eae8a07b884c8b7a1146010040fccddc6539c54f401c8f6fcf"},
|
||||
{file = "sympy-1.11.1.tar.gz", hash = "sha256:e32380dce63cb7c0108ed525570092fd45168bdae2faa17e528221ef72e88658"},
|
||||
|
|
@ -3365,6 +3470,10 @@ traitlets = [
|
|||
{file = "traitlets-5.3.0-py3-none-any.whl", hash = "sha256:65fa18961659635933100db8ca120ef6220555286949774b9cfc106f941d1c7a"},
|
||||
{file = "traitlets-5.3.0.tar.gz", hash = "sha256:0bb9f1f9f017aa8ec187d8b1b2a7a6626a2a1d877116baba52a129bfa124f8e2"},
|
||||
]
|
||||
types-PyYAML = [
|
||||
{file = "types-PyYAML-6.0.11.tar.gz", hash = "sha256:7f7da2fd11e9bc1e5e9eb3ea1be84f4849747017a59fc2eee0ea34ed1147c2e0"},
|
||||
{file = "types_PyYAML-6.0.11-py3-none-any.whl", hash = "sha256:8f890028123607379c63550179ddaec4517dc751f4c527a52bb61934bf495989"},
|
||||
]
|
||||
typing-extensions = [
|
||||
{file = "typing_extensions-4.3.0-py3-none-any.whl", hash = "sha256:25642c956049920a5aa49edcdd6ab1e06d7e5d467fc00e0506c44ac86fbfca02"},
|
||||
{file = "typing_extensions-4.3.0.tar.gz", hash = "sha256:e6d2677a32f47fc7eb2795db1dd15c1f34eff616bcaf2cfb5e997f854fa1c4a6"},
|
||||
|
|
@ -3374,12 +3483,12 @@ urllib3 = [
|
|||
{file = "urllib3-1.26.12.tar.gz", hash = "sha256:3fa96cf423e6987997fc326ae8df396db2a8b7c667747d47ddd8ecba91f4a74e"},
|
||||
]
|
||||
virtualenv = [
|
||||
{file = "virtualenv-20.16.4-py3-none-any.whl", hash = "sha256:035ed57acce4ac35c82c9d8802202b0e71adac011a511ff650cbcf9635006a22"},
|
||||
{file = "virtualenv-20.16.4.tar.gz", hash = "sha256:014f766e4134d0008dcaa1f95bafa0fb0f575795d07cae50b1bee514185d6782"},
|
||||
{file = "virtualenv-20.16.5-py3-none-any.whl", hash = "sha256:d07dfc5df5e4e0dbc92862350ad87a36ed505b978f6c39609dc489eadd5b0d27"},
|
||||
{file = "virtualenv-20.16.5.tar.gz", hash = "sha256:227ea1b9994fdc5ea31977ba3383ef296d7472ea85be9d6732e42a91c04e80da"},
|
||||
]
|
||||
wandb = [
|
||||
{file = "wandb-0.13.2-py2.py3-none-any.whl", hash = "sha256:3fc8b368859c7bd3105edcd3be33b5934d6ee6e516caa0ba6b1c5028c8a836c4"},
|
||||
{file = "wandb-0.13.2.tar.gz", hash = "sha256:38a0a4cb7b37648ca5b676f9962f49d75fecc735fd2c41d26bd184060396f2d4"},
|
||||
{file = "wandb-0.13.3-py2.py3-none-any.whl", hash = "sha256:a246ed531ae405f2c95d299adb7311f2cf333c6c73ce36e3fcaaae60f0817c6c"},
|
||||
{file = "wandb-0.13.3.tar.gz", hash = "sha256:8f91a8b67949313769c686e4f5139e4c247de8ce140e72fdcdd7896da2ea1c87"},
|
||||
]
|
||||
wcwidth = [
|
||||
{file = "wcwidth-0.2.5-py2.py3-none-any.whl", hash = "sha256:beb4802a9cebb9144e99086eff703a642a13d6a0052920003a230f3294bbe784"},
|
||||
|
|
|
|||
|
|
@ -1,15 +1,15 @@
|
|||
[tool.poetry]
|
||||
authors = ["Laurent Fainsin <laurent@fainsin.bzh>"]
|
||||
description = "Simple neural network to detect calibration spheres in images"
|
||||
description = "Simple neural network to detect calibration spheres in images."
|
||||
license = "MIT"
|
||||
name = "sphereDetect"
|
||||
version = "1.0.0"
|
||||
readme = "README.md"
|
||||
version = "2.0.0"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
albumentations = "^1.2.1"
|
||||
lightning-bolts = "^0.5.0"
|
||||
numpy = "^1.23.2"
|
||||
onnx = "^1.12.0"
|
||||
onnxruntime-training = "^1.12.0"
|
||||
pycocotools = "^2.0.4"
|
||||
python = ">=3.8,<3.11"
|
||||
pytorch-lightning = "^1.7.4"
|
||||
|
|
@ -19,20 +19,38 @@ torchmetrics = "^0.9.3"
|
|||
torchvision = "^0.13.1"
|
||||
wandb = "^0.13.2"
|
||||
|
||||
[tool.poetry.dev-dependencies]
|
||||
black = {extras = ["jupyter"], version = "^22.8.0"}
|
||||
[tool.poetry.group.notebooks]
|
||||
optional = true
|
||||
|
||||
[tool.poetry.group.notebooks.dependencies]
|
||||
ipykernel = "^6.15.2"
|
||||
isort = "^5.10.1"
|
||||
matplotlib = "^3.5.3"
|
||||
mypy = "^0.971"
|
||||
onnx = "^1.12.0"
|
||||
onnxruntime = "^1.12.1"
|
||||
onnxruntime-gpu = "^1.12.1"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
Flake8-pyproject = "^1.1.0"
|
||||
bandit = "^1.7.4"
|
||||
black = {extras = ["jupyter"], version = "^22.8.0"}
|
||||
flake8 = "^5.0.4"
|
||||
flake8-docstrings = "^1.6.0"
|
||||
isort = "^5.10.1"
|
||||
mypy = "^0.971"
|
||||
pre-commit = "^2.20.0"
|
||||
|
||||
[build-system]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
requires = ["poetry-core>=1.0.0"]
|
||||
|
||||
[tool.flake8]
|
||||
# rules ignored
|
||||
extend-ignore = ["W503", "D401", "D403"]
|
||||
per-file-ignores = ["__init__.py:F401", "__init__.py:D104"]
|
||||
# black
|
||||
ignore = "E203"
|
||||
max-line-length = 120
|
||||
|
||||
[tool.black]
|
||||
exclude = '''
|
||||
/(
|
||||
|
|
@ -47,3 +65,8 @@ target-version = ["py310"]
|
|||
[tool.isort]
|
||||
multi_line_output = 3
|
||||
profile = "black"
|
||||
|
||||
[tool.mypy]
|
||||
python_version = "3.10"
|
||||
warn_return_any = true
|
||||
warn_unused_configs = true
|
||||
|
|
|
|||
Loading…
Reference in a new issue