mirror of
https://github.com/fhswf/aki_prj23_transparenzregister.git
synced 2025-06-21 21:43:55 +02:00
Added a types package and upgraded poetry. (#313)
This commit is contained in:
GitHub
326
poetry.lock
generated
326
poetry.lock
generated
@ -2,12 +2,13 @@
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[[package]]
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name = "accelerate"
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version = "0.24.0"
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version = "0.24.1"
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description = "Accelerate"
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optional = false
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python-versions = ">=3.8.0"
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files = [
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{file = "accelerate-0.24.0-py3-none-any.whl", hash = "sha256:04bb1483c90eacb3beb2687cb54950d8caf9a0b93432f6b2d42efebbb6c0491e"},
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]
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[package.dependencies]
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@ -248,17 +249,6 @@ setuptools = {version = "*", markers = "python_version >= \"3.12\""}
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[package.extras]
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dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"]
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[[package]]
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name = "backcall"
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version = "0.2.0"
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description = "Specifications for callback functions passed in to an API"
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optional = false
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python-versions = "*"
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files = [
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]
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[[package]]
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name = "beautifulsoup4"
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version = "4.12.2"
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@ -339,13 +329,13 @@ css = ["tinycss2 (>=1.1.0,<1.3)"]
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[[package]]
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name = "blinker"
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version = "1.6.3"
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version = "1.7.0"
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description = "Fast, simple object-to-object and broadcast signaling"
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optional = false
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python-versions = ">=3.7"
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python-versions = ">=3.8"
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[[package]]
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@ -536,101 +526,101 @@ files = [
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[[package]]
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name = "charset-normalizer"
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version = "3.3.1"
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version = "3.3.2"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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python-versions = ">=3.7.0"
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{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:a50aebfa173e157099939b17f18600f72f84eed3049e743b68ad15bd69b6bf99"},
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{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:4d0d1650369165a14e14e1e47b372cfcb31d6ab44e6e33cb2d4e57265290044d"},
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{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:923c0c831b7cfcb071580d3f46c4baf50f174be571576556269530f4bbd79d04"},
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{file = "charset_normalizer-3.3.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:06a81e93cd441c56a9b65d8e1d043daeb97a3d0856d177d5c90ba85acb3db087"},
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{file = "charset_normalizer-3.3.2-cp38-cp38-win32.whl", hash = "sha256:6ef1d82a3af9d3eecdba2321dc1b3c238245d890843e040e41e470ffa64c3e25"},
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{file = "charset_normalizer-3.3.2-cp38-cp38-win_amd64.whl", hash = "sha256:eb8821e09e916165e160797a6c17edda0679379a4be5c716c260e836e122f54b"},
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{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:c235ebd9baae02f1b77bcea61bce332cb4331dc3617d254df3323aa01ab47bd4"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:5b4c145409bef602a690e7cfad0a15a55c13320ff7a3ad7ca59c13bb8ba4d45d"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:68d1f8a9e9e37c1223b656399be5d6b448dea850bed7d0f87a8311f1ff3dabb0"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:22afcb9f253dac0696b5a4be4a1c0f8762f8239e21b99680099abd9b2b1b2269"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e27ad930a842b4c5eb8ac0016b0a54f5aebbe679340c26101df33424142c143c"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1f79682fbe303db92bc2b1136016a38a42e835d932bab5b3b1bfcfbf0640e519"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b261ccdec7821281dade748d088bb6e9b69e6d15b30652b74cbbac25e280b796"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:122c7fa62b130ed55f8f285bfd56d5f4b4a5b503609d181f9ad85e55c89f4185"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:d0eccceffcb53201b5bfebb52600a5fb483a20b61da9dbc885f8b103cbe7598c"},
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||||
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:9f96df6923e21816da7e0ad3fd47dd8f94b2a5ce594e00677c0013018b813458"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:7f04c839ed0b6b98b1a7501a002144b76c18fb1c1850c8b98d458ac269e26ed2"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:34d1c8da1e78d2e001f363791c98a272bb734000fcef47a491c1e3b0505657a8"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ff8fa367d09b717b2a17a052544193ad76cd49979c805768879cb63d9ca50561"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-win32.whl", hash = "sha256:aed38f6e4fb3f5d6bf81bfa990a07806be9d83cf7bacef998ab1a9bd660a581f"},
|
||||
{file = "charset_normalizer-3.3.2-cp39-cp39-win_amd64.whl", hash = "sha256:b01b88d45a6fcb69667cd6d2f7a9aeb4bf53760d7fc536bf679ec94fe9f3ff3d"},
|
||||
{file = "charset_normalizer-3.3.2-py3-none-any.whl", hash = "sha256:3e4d1f6587322d2788836a99c69062fbb091331ec940e02d12d179c1d53e25fc"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -1601,13 +1591,13 @@ devel = ["colorama", "json-spec", "jsonschema", "pylint", "pytest", "pytest-benc
|
||||
|
||||
[[package]]
|
||||
name = "filelock"
|
||||
version = "3.13.0"
|
||||
version = "3.13.1"
|
||||
description = "A platform independent file lock."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "filelock-3.13.0-py3-none-any.whl", hash = "sha256:a552f4fde758f4eab33191e9548f671970f8b06d436d31388c9aa1e5861a710f"},
|
||||
{file = "filelock-3.13.0.tar.gz", hash = "sha256:63c6052c82a1a24c873a549fbd39a26982e8f35a3016da231ead11a5be9dad44"},
|
||||
{file = "filelock-3.13.1-py3-none-any.whl", hash = "sha256:57dbda9b35157b05fb3e58ee91448612eb674172fab98ee235ccb0b5bee19a1c"},
|
||||
{file = "filelock-3.13.1.tar.gz", hash = "sha256:521f5f56c50f8426f5e03ad3b281b490a87ef15bc6c526f168290f0c7148d44e"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -2137,41 +2127,39 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio"
|
||||
|
||||
[[package]]
|
||||
name = "ipython"
|
||||
version = "8.16.1"
|
||||
version = "8.17.2"
|
||||
description = "IPython: Productive Interactive Computing"
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "ipython-8.16.1-py3-none-any.whl", hash = "sha256:0852469d4d579d9cd613c220af7bf0c9cc251813e12be647cb9d463939db9b1e"},
|
||||
{file = "ipython-8.16.1.tar.gz", hash = "sha256:ad52f58fca8f9f848e256c629eff888efc0528c12fe0f8ec14f33205f23ef938"},
|
||||
{file = "ipython-8.17.2-py3-none-any.whl", hash = "sha256:1e4d1d666a023e3c93585ba0d8e962867f7a111af322efff6b9c58062b3e5444"},
|
||||
{file = "ipython-8.17.2.tar.gz", hash = "sha256:126bb57e1895594bb0d91ea3090bbd39384f6fe87c3d57fd558d0670f50339bb"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
appnope = {version = "*", markers = "sys_platform == \"darwin\""}
|
||||
backcall = "*"
|
||||
colorama = {version = "*", markers = "sys_platform == \"win32\""}
|
||||
decorator = "*"
|
||||
jedi = ">=0.16"
|
||||
matplotlib-inline = "*"
|
||||
pexpect = {version = ">4.3", markers = "sys_platform != \"win32\""}
|
||||
pickleshare = "*"
|
||||
prompt-toolkit = ">=3.0.30,<3.0.37 || >3.0.37,<3.1.0"
|
||||
pygments = ">=2.4.0"
|
||||
stack-data = "*"
|
||||
traitlets = ">=5"
|
||||
|
||||
[package.extras]
|
||||
all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.21)", "pandas", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
|
||||
all = ["black", "curio", "docrepr", "exceptiongroup", "ipykernel", "ipyparallel", "ipywidgets", "matplotlib", "matplotlib (!=3.2.0)", "nbconvert", "nbformat", "notebook", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "qtconsole", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "trio", "typing-extensions"]
|
||||
black = ["black"]
|
||||
doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
|
||||
doc = ["docrepr", "exceptiongroup", "ipykernel", "matplotlib", "pickleshare", "pytest (<7)", "pytest (<7.1)", "pytest-asyncio (<0.22)", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "stack-data", "testpath", "typing-extensions"]
|
||||
kernel = ["ipykernel"]
|
||||
nbconvert = ["nbconvert"]
|
||||
nbformat = ["nbformat"]
|
||||
notebook = ["ipywidgets", "notebook"]
|
||||
parallel = ["ipyparallel"]
|
||||
qtconsole = ["qtconsole"]
|
||||
test = ["pytest (<7.1)", "pytest-asyncio", "testpath"]
|
||||
test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.21)", "pandas", "pytest (<7.1)", "pytest-asyncio", "testpath", "trio"]
|
||||
test = ["pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath"]
|
||||
test-extra = ["curio", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.22)", "pandas", "pickleshare", "pytest (<7.1)", "pytest-asyncio (<0.22)", "testpath", "trio"]
|
||||
|
||||
[[package]]
|
||||
name = "ipython-genutils"
|
||||
@ -2293,13 +2281,13 @@ files = [
|
||||
|
||||
[[package]]
|
||||
name = "jsonschema"
|
||||
version = "4.19.1"
|
||||
version = "4.19.2"
|
||||
description = "An implementation of JSON Schema validation for Python"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "jsonschema-4.19.1-py3-none-any.whl", hash = "sha256:cd5f1f9ed9444e554b38ba003af06c0a8c2868131e56bfbef0550fb450c0330e"},
|
||||
{file = "jsonschema-4.19.1.tar.gz", hash = "sha256:ec84cc37cfa703ef7cd4928db24f9cb31428a5d0fa77747b8b51a847458e0bbf"},
|
||||
{file = "jsonschema-4.19.2-py3-none-any.whl", hash = "sha256:eee9e502c788e89cb166d4d37f43084e3b64ab405c795c03d343a4dbc2c810fc"},
|
||||
{file = "jsonschema-4.19.2.tar.gz", hash = "sha256:c9ff4d7447eed9592c23a12ccee508baf0dd0d59650615e847feb6cdca74f392"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2402,13 +2390,13 @@ test = ["flaky", "pexpect", "pytest"]
|
||||
|
||||
[[package]]
|
||||
name = "jupyter-core"
|
||||
version = "5.4.0"
|
||||
version = "5.5.0"
|
||||
description = "Jupyter core package. A base package on which Jupyter projects rely."
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "jupyter_core-5.4.0-py3-none-any.whl", hash = "sha256:66e252f675ac04dcf2feb6ed4afb3cd7f68cf92f483607522dc251f32d471571"},
|
||||
{file = "jupyter_core-5.4.0.tar.gz", hash = "sha256:e4b98344bb94ee2e3e6c4519a97d001656009f9cb2b7f2baf15b3c205770011d"},
|
||||
{file = "jupyter_core-5.5.0-py3-none-any.whl", hash = "sha256:e11e02cd8ae0a9de5c6c44abf5727df9f2581055afe00b22183f621ba3585805"},
|
||||
{file = "jupyter_core-5.5.0.tar.gz", hash = "sha256:880b86053bf298a8724994f95e99b99130659022a4f7f45f563084b6223861d3"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2417,7 +2405,7 @@ pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_
|
||||
traitlets = ">=5.3"
|
||||
|
||||
[package.extras]
|
||||
docs = ["myst-parser", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
|
||||
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
|
||||
test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
|
||||
|
||||
[[package]]
|
||||
@ -2516,13 +2504,13 @@ test = ["coverage", "jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-cov",
|
||||
|
||||
[[package]]
|
||||
name = "jupyterlab"
|
||||
version = "4.0.7"
|
||||
version = "4.0.8"
|
||||
description = "JupyterLab computational environment"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "jupyterlab-4.0.7-py3-none-any.whl", hash = "sha256:08683045117cc495531fdb39c22ababb9aaac6977a45e67cfad20046564c9c7c"},
|
||||
{file = "jupyterlab-4.0.7.tar.gz", hash = "sha256:48792efd9f962b2bcda1f87d72168ff122c288b1d97d32109e4a11b33dc862be"},
|
||||
{file = "jupyterlab-4.0.8-py3-none-any.whl", hash = "sha256:2ff5aa2a51eb21df241d6011c236e88bd1ff9a5dbb75bebc54472f9c18bfffa4"},
|
||||
{file = "jupyterlab-4.0.8.tar.gz", hash = "sha256:c4fe93f977bcc987bd395d7fae5ab02e0c042bf4e0f7c95196f3e2e578c2fb3a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -2539,7 +2527,7 @@ tornado = ">=6.2.0"
|
||||
traitlets = "*"
|
||||
|
||||
[package.extras]
|
||||
dev = ["black[jupyter] (==23.7.0)", "build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.0.286)"]
|
||||
dev = ["black[jupyter] (==23.10.1)", "build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.0.292)"]
|
||||
docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-tornasync", "sphinx (>=1.8,<7.2.0)", "sphinx-copybutton"]
|
||||
docs-screenshots = ["altair (==5.0.1)", "ipython (==8.14.0)", "ipywidgets (==8.0.6)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.0.post0)", "matplotlib (==3.7.1)", "nbconvert (>=7.0.0)", "pandas (==2.0.2)", "scipy (==1.10.1)", "vega-datasets (==0.9.0)"]
|
||||
test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
|
||||
@ -3836,17 +3824,6 @@ requests = "*"
|
||||
[package.extras]
|
||||
fuzzy = ["thefuzz"]
|
||||
|
||||
[[package]]
|
||||
name = "pickleshare"
|
||||
version = "0.7.5"
|
||||
description = "Tiny 'shelve'-like database with concurrency support"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "pickleshare-0.7.5-py2.py3-none-any.whl", hash = "sha256:9649af414d74d4df115d5d718f82acb59c9d418196b7b4290ed47a12ce62df56"},
|
||||
{file = "pickleshare-0.7.5.tar.gz", hash = "sha256:87683d47965c1da65cdacaf31c8441d12b8044cdec9aca500cd78fc2c683afca"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pillow"
|
||||
version = "10.1.0"
|
||||
@ -4156,13 +4133,13 @@ tests = ["pytest", "pytest-cov", "pytest-lazy-fixture"]
|
||||
|
||||
[[package]]
|
||||
name = "prometheus-client"
|
||||
version = "0.17.1"
|
||||
version = "0.18.0"
|
||||
description = "Python client for the Prometheus monitoring system."
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "prometheus_client-0.17.1-py3-none-any.whl", hash = "sha256:e537f37160f6807b8202a6fc4764cdd19bac5480ddd3e0d463c3002b34462101"},
|
||||
{file = "prometheus_client-0.17.1.tar.gz", hash = "sha256:21e674f39831ae3f8acde238afd9a27a37d0d2fb5a28ea094f0ce25d2cbf2091"},
|
||||
{file = "prometheus_client-0.18.0-py3-none-any.whl", hash = "sha256:8de3ae2755f890826f4b6479e5571d4f74ac17a81345fe69a6778fdb92579184"},
|
||||
{file = "prometheus_client-0.18.0.tar.gz", hash = "sha256:35f7a8c22139e2bb7ca5a698e92d38145bc8dc74c1c0bf56f25cca886a764e17"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -4290,7 +4267,6 @@ files = [
|
||||
{file = "psycopg2_binary-2.9.9-cp311-cp311-win32.whl", hash = "sha256:dc4926288b2a3e9fd7b50dc6a1909a13bbdadfc67d93f3374d984e56f885579d"},
|
||||
{file = "psycopg2_binary-2.9.9-cp311-cp311-win_amd64.whl", hash = "sha256:b76bedd166805480ab069612119ea636f5ab8f8771e640ae103e05a4aae3e417"},
|
||||
{file = "psycopg2_binary-2.9.9-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:8532fd6e6e2dc57bcb3bc90b079c60de896d2128c5d9d6f24a63875a95a088cf"},
|
||||
{file = "psycopg2_binary-2.9.9-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:b0605eaed3eb239e87df0d5e3c6489daae3f7388d455d0c0b4df899519c6a38d"},
|
||||
{file = "psycopg2_binary-2.9.9-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8f8544b092a29a6ddd72f3556a9fcf249ec412e10ad28be6a0c0d948924f2212"},
|
||||
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|
||||
{file = "psycopg2_binary-2.9.9-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2e5afae772c00980525f6d6ecf7cbca55676296b580c0e6abb407f15f3706996"},
|
||||
@ -4299,8 +4275,6 @@ files = [
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||||
{file = "psycopg2_binary-2.9.9-cp312-cp312-musllinux_1_1_i686.whl", hash = "sha256:cb16c65dcb648d0a43a2521f2f0a2300f40639f6f8c1ecbc662141e4e3e1ee07"},
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{file = "psycopg2_binary-2.9.9-cp312-cp312-musllinux_1_1_ppc64le.whl", hash = "sha256:911dda9c487075abd54e644ccdf5e5c16773470a6a5d3826fda76699410066fb"},
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{file = "psycopg2_binary-2.9.9-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:57fede879f08d23c85140a360c6a77709113efd1c993923c59fde17aa27599fe"},
|
||||
{file = "psycopg2_binary-2.9.9-cp312-cp312-win32.whl", hash = "sha256:64cf30263844fa208851ebb13b0732ce674d8ec6a0c86a4e160495d299ba3c93"},
|
||||
{file = "psycopg2_binary-2.9.9-cp312-cp312-win_amd64.whl", hash = "sha256:81ff62668af011f9a48787564ab7eded4e9fb17a4a6a74af5ffa6a457400d2ab"},
|
||||
{file = "psycopg2_binary-2.9.9-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:2293b001e319ab0d869d660a704942c9e2cce19745262a8aba2115ef41a0a42a"},
|
||||
{file = "psycopg2_binary-2.9.9-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:03ef7df18daf2c4c07e2695e8cfd5ee7f748a1d54d802330985a78d2a5a6dca9"},
|
||||
{file = "psycopg2_binary-2.9.9-cp37-cp37m-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0a602ea5aff39bb9fac6308e9c9d82b9a35c2bf288e184a816002c9fae930b77"},
|
||||
@ -5702,13 +5676,13 @@ stats = ["scipy (>=1.7)", "statsmodels (>=0.12)"]
|
||||
|
||||
[[package]]
|
||||
name = "selenium"
|
||||
version = "4.15.0"
|
||||
version = "4.15.1"
|
||||
description = ""
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "selenium-4.15.0-py3-none-any.whl", hash = "sha256:c566dd3b20765dad64e65edca19a52f421f601ed1739f87dd4c5c07aae5dae6f"},
|
||||
{file = "selenium-4.15.0.tar.gz", hash = "sha256:1d339cb4577a2c617122ebe6342b7e9bca4cb4588a2d322c898f5df29c91df02"},
|
||||
{file = "selenium-4.15.1-py3-none-any.whl", hash = "sha256:e3a4ebdcc3eed27eec69f8000d798923dbf4897c97cc6441eb88a1386809170d"},
|
||||
{file = "selenium-4.15.1.tar.gz", hash = "sha256:8f0436b5949f1d4aa742f3dff0d748b955c371be92db8b6b008bf9c9ca227de7"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -6365,13 +6339,13 @@ sqlcipher = ["sqlcipher3-binary"]
|
||||
|
||||
[[package]]
|
||||
name = "sqlalchemy2-stubs"
|
||||
version = "0.0.2a35"
|
||||
version = "0.0.2a36"
|
||||
description = "Typing Stubs for SQLAlchemy 1.4"
|
||||
optional = false
|
||||
python-versions = ">=3.6"
|
||||
files = [
|
||||
{file = "sqlalchemy2-stubs-0.0.2a35.tar.gz", hash = "sha256:bd5d530697d7e8c8504c7fe792ef334538392a5fb7aa7e4f670bfacdd668a19d"},
|
||||
{file = "sqlalchemy2_stubs-0.0.2a35-py3-none-any.whl", hash = "sha256:593784ff9fc0dc2ded1895e3322591689db3be06f3ca006e3ef47640baf2d38a"},
|
||||
{file = "sqlalchemy2-stubs-0.0.2a36.tar.gz", hash = "sha256:1c820c176a50401b7b3fc1e25019703b2c0753fe99a79d7e19305146baf1f60f"},
|
||||
{file = "sqlalchemy2_stubs-0.0.2a36-py3-none-any.whl", hash = "sha256:9b5b3eb263cdc649b6a5619d2c089b98290406027a01e1de171eeb98c38ce678"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -6858,13 +6832,13 @@ telegram = ["requests"]
|
||||
|
||||
[[package]]
|
||||
name = "traitlets"
|
||||
version = "5.12.0"
|
||||
version = "5.13.0"
|
||||
description = "Traitlets Python configuration system"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "traitlets-5.12.0-py3-none-any.whl", hash = "sha256:81539f07f7aebcde2e4b5ab76727f53eabf18ad155c6ed7979a681411602fa47"},
|
||||
{file = "traitlets-5.12.0.tar.gz", hash = "sha256:833273bf645d8ce31dcb613c56999e2e055b1ffe6d09168a164bcd91c36d5d35"},
|
||||
{file = "traitlets-5.13.0-py3-none-any.whl", hash = "sha256:baf991e61542da48fe8aef8b779a9ea0aa38d8a54166ee250d5af5ecf4486619"},
|
||||
{file = "traitlets-5.13.0.tar.gz", hash = "sha256:9b232b9430c8f57288c1024b34a8f0251ddcc47268927367a0dd3eeaca40deb5"},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
@ -6873,13 +6847,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.6.0)", "pre-commit", "pytest (>=7.0,
|
||||
|
||||
[[package]]
|
||||
name = "transformers"
|
||||
version = "4.34.1"
|
||||
version = "4.35.0"
|
||||
description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
|
||||
optional = false
|
||||
python-versions = ">=3.8.0"
|
||||
files = [
|
||||
{file = "transformers-4.34.1-py3-none-any.whl", hash = "sha256:d06ac09151d7b845e4a4acd6b143a591d946031ee67b4cbb20693b241920ffc0"},
|
||||
{file = "transformers-4.34.1.tar.gz", hash = "sha256:1d0258d5a18063b66005bbe1e3276ec5943d9ab4ab47f020db1fd485cc40ea22"},
|
||||
{file = "transformers-4.35.0-py3-none-any.whl", hash = "sha256:45aa9370d7d9ba1c43e6bfa04d7f8b61238497d4b646e573fd95e597fe4040ff"},
|
||||
{file = "transformers-4.35.0.tar.gz", hash = "sha256:e4b41763f651282fc979348d3aa148244387ddc9165f4b18455798c770ae23b9"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
@ -6903,13 +6877,12 @@ all = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon
|
||||
audio = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
codecarbon = ["codecarbon (==1.2.0)"]
|
||||
deepspeed = ["accelerate (>=0.20.3)", "deepspeed (>=0.9.3)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.15)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.9.3)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "timeout-decorator"]
|
||||
dev = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "decord (==0.6.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flax (>=0.4.1,<=0.7.0)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
dev-tensorflow = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorboard", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timeout-decorator", "tokenizers (>=0.14,<0.15)", "urllib3 (<2.0.0)"]
|
||||
dev-torch = ["GitPython (<3.1.19)", "Pillow (<10.0.0)", "accelerate (>=0.20.3)", "beautifulsoup4", "black (>=23.1,<24.0)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "kenlm", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf", "psutil", "pyctcdecode (>=0.4.0)", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "ray[tune]", "rhoknp (>=1.1.0,<1.3.1)", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (>=0.0.241,<=0.0.259)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorboard", "timeout-decorator", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)", "urllib3 (<2.0.0)"]
|
||||
docs = ["Pillow (<10.0.0)", "accelerate (>=0.20.3)", "av (==9.2.0)", "codecarbon (==1.2.0)", "decord (==0.6.0)", "flax (>=0.4.1,<=0.7.0)", "hf-doc-builder", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "kenlm", "keras-nlp (>=0.3.1)", "librosa", "onnxconverter-common", "optax (>=0.0.8,<=0.1.4)", "optuna", "phonemizer", "protobuf", "pyctcdecode (>=0.4.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx", "timm", "tokenizers (>=0.14,<0.15)", "torch (>=1.10,!=1.12.0)", "torchaudio", "torchvision"]
|
||||
docs-specific = ["hf-doc-builder"]
|
||||
fairscale = ["fairscale (>0.3)"]
|
||||
flax = ["flax (>=0.4.1,<=0.7.0)", "jax (>=0.4.1,<=0.4.13)", "jaxlib (>=0.4.1,<=0.4.13)", "optax (>=0.0.8,<=0.1.4)"]
|
||||
flax-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
ftfy = ["ftfy"]
|
||||
@ -6929,7 +6902,7 @@ serving = ["fastapi", "pydantic (<2)", "starlette", "uvicorn"]
|
||||
sigopt = ["sigopt"]
|
||||
sklearn = ["scikit-learn"]
|
||||
speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)", "torchaudio"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "timeout-decorator"]
|
||||
testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (>=23.1,<24.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf", "psutil", "pytest (>=7.2.0)", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "tensorboard", "timeout-decorator"]
|
||||
tf = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
|
||||
tf-cpu = ["keras-nlp (>=0.3.1)", "onnxconverter-common", "tensorflow-cpu (>=2.6,<2.15)", "tensorflow-text (<2.15)", "tf2onnx"]
|
||||
tf-speech = ["kenlm", "librosa", "phonemizer", "pyctcdecode (>=0.4.0)"]
|
||||
@ -7008,6 +6981,17 @@ files = [
|
||||
{file = "types_cachetools-5.3.0.7-py3-none-any.whl", hash = "sha256:98c069dc7fc087b1b061703369c80751b0a0fc561f6fb072b554e5eee23773a0"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "types-decorator"
|
||||
version = "5.1.8.4"
|
||||
description = "Typing stubs for decorator"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "types-decorator-5.1.8.4.tar.gz", hash = "sha256:a8c39024634e99834bef146cec2e36c585f47884addf4dc65d6d0b7b1f627517"},
|
||||
{file = "types_decorator-5.1.8.4-py3-none-any.whl", hash = "sha256:e411203e0ec0116964dcd491e162a951e4a68cd2d4a946172690bee43c4ebe6e"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "types-pyopenssl"
|
||||
version = "23.3.0.0"
|
||||
@ -7211,13 +7195,13 @@ colorama = {version = ">=0.4.6", markers = "sys_platform == \"win32\" and python
|
||||
|
||||
[[package]]
|
||||
name = "wcwidth"
|
||||
version = "0.2.8"
|
||||
version = "0.2.9"
|
||||
description = "Measures the displayed width of unicode strings in a terminal"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "wcwidth-0.2.8-py2.py3-none-any.whl", hash = "sha256:77f719e01648ed600dfa5402c347481c0992263b81a027344f3e1ba25493a704"},
|
||||
{file = "wcwidth-0.2.8.tar.gz", hash = "sha256:8705c569999ffbb4f6a87c6d1b80f324bd6db952f5eb0b95bc07517f4c1813d4"},
|
||||
{file = "wcwidth-0.2.9-py2.py3-none-any.whl", hash = "sha256:9a929bd8380f6cd9571a968a9c8f4353ca58d7cd812a4822bba831f8d685b223"},
|
||||
{file = "wcwidth-0.2.9.tar.gz", hash = "sha256:a675d1a4a2d24ef67096a04b85b02deeecd8e226f57b5e3a72dbb9ed99d27da8"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@ -7427,4 +7411,4 @@ web-server = ["dash", "dash-auth", "dash-bootstrap-components", "matplotlib", "s
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.11"
|
||||
content-hash = "ef2c5d583f82cead61129ade4083a1ae8cabda141511411acc7872479686f81f"
|
||||
content-hash = "ca3da7df1698636fc16fb76ba95ca0dfb3c5146a0b71ac58559f06cb8254bf36"
|
||||
|
||||
365
pyproject.toml
365
pyproject.toml
@ -1,182 +1,183 @@
|
||||
[build-system]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
requires = ["poetry-core"]
|
||||
|
||||
[tool.black]
|
||||
target-version = ["py311"]
|
||||
|
||||
[tool.coverage.report]
|
||||
exclude_also = ["if __name__ == .__main__.:", "if not isinstance(engine, Engine):", "@overload"]
|
||||
|
||||
[tool.coverage.run]
|
||||
branch = true
|
||||
dynamic_context = "test_function"
|
||||
relative_files = true
|
||||
source = ["src"]
|
||||
|
||||
[tool.mypy]
|
||||
disallow_untyped_defs = true
|
||||
exclude = ["\\.ipynb_checkpoints", "\\.mypy_cache", "\\.mytest_cache", "build", "venv", "\\.venv", "Jupyter"]
|
||||
follow_imports = "silent"
|
||||
ignore_missing_imports = true
|
||||
install_types = true
|
||||
non_interactive = true
|
||||
plugins = ["sqlalchemy.ext.mypy.plugin"]
|
||||
python_version = "3.11"
|
||||
warn_redundant_casts = true
|
||||
warn_unused_ignores = false
|
||||
|
||||
[tool.poetry]
|
||||
authors = ["AKI Projektgruppe 23"]
|
||||
classifiers = []
|
||||
description = "Data Integration, Extraction, and Visualization using Text Mining and AI to reveal valuable insights, hidden patterns, and gain a deeper understanding of the business landscape of german companies."
|
||||
documentation = "https://cuddly-waffle-r416zgy.pages.github.io/"
|
||||
homepage = "https://cuddly-waffle-r416zgy.pages.github.io/"
|
||||
keywords = ["deutschland", "economy", "transparenzregister", "dataintegration", "handelsregister"]
|
||||
maintainers = [
|
||||
"Philipp Horstenkamp <philipp@horstenkamp.de>",
|
||||
"Tristan Nolde <contact@trisnol.dev>",
|
||||
"Sebastian Zeleny <zeleny.sebastian@fh-swf.de>",
|
||||
"Kim Mesewinkel-Risse",
|
||||
"Tim Ronneburg",
|
||||
"Sascha Zhu <sascha.zhu@eugreen.de>"
|
||||
]
|
||||
name = "aki-prj23-transparenzregister"
|
||||
packages = [{include = "aki_prj23_transparenzregister", from = "src"}]
|
||||
readme = "README.md"
|
||||
repository = "https://github.com/fhswf/aki_prj23_transparenzregister"
|
||||
version = "0.1.0"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
SQLAlchemy = "^1.4.50"
|
||||
aenum = "^3.1.15"
|
||||
babel = "^2.13.1"
|
||||
cachetools = "^5.3.1"
|
||||
dash = "^2.14.1"
|
||||
dash-auth = "^2.0.0"
|
||||
dash-bootstrap-components = "^1.5.0"
|
||||
datetime = "^5.2"
|
||||
deutschland = {git = "https://github.com/TrisNol/deutschland.git", branch = "hotfix/python-3.11-support"}
|
||||
frozendict = "^2.3.8"
|
||||
loguru = "^0.7.0"
|
||||
matplotlib = "^3.8.1"
|
||||
pgeocode = "^0.4.1"
|
||||
psycopg2-binary = "^2.9.7"
|
||||
pymongo = "^4.6.0"
|
||||
python = "^3.11"
|
||||
python-dotenv = "^1.0.0"
|
||||
rapidfuzz = "^3.5.1"
|
||||
seaborn = "^0.13.0"
|
||||
selenium = "^4.15.0"
|
||||
spacy = "^3.6.1"
|
||||
spacy-sentiws = "^3.0.0"
|
||||
torch = {version = "*", source = "torch-cpu"}
|
||||
torchaudio = {version = "*", source = "torch-cpu"}
|
||||
torchvision = {version = "*", source = "torch-cpu"}
|
||||
tqdm = "^4.66.1"
|
||||
transformers = {version = "*", extras = ["torch"]}
|
||||
xmltodict = "^0.13.0"
|
||||
|
||||
[tool.poetry.extras]
|
||||
ingest = ["selenium", "deutschland", "xmltodict"]
|
||||
transformation = ["torch", "torchaudio", "torchvision", "transformers", "spacy-sentiws", "spacy"]
|
||||
web-server = ["dash", "dash-auth", "dash-bootstrap-components", "matplotlib", "seaborn"]
|
||||
|
||||
[tool.poetry.group.develop.dependencies]
|
||||
black = {extras = ["jupyter"], version = "^23.9.1"}
|
||||
jupyterlab = "^4.0.6"
|
||||
nbconvert = "^7.10.0"
|
||||
openpyxl = "^3.1.2"
|
||||
pre-commit = "^3.4.0"
|
||||
rise = "^5.7.1"
|
||||
|
||||
[tool.poetry.group.doc.dependencies]
|
||||
jupyter = "^1.0.0"
|
||||
myst-parser = "^1.0.0"
|
||||
nbsphinx = "^0.9.2"
|
||||
sphinx = "*"
|
||||
sphinx-copybutton = "^0.5.2"
|
||||
sphinx-git = "^11.0.0"
|
||||
sphinx-notfound-page = "^1.0.0"
|
||||
sphinx-rtd-theme = "^1.3.0"
|
||||
sphinx_autodoc_typehints = "*"
|
||||
sphinxcontrib-drawio = "^0.0.17"
|
||||
sphinxcontrib-mermaid = "^0.9.2"
|
||||
sphinxcontrib-napoleon = "^0.7"
|
||||
|
||||
[tool.poetry.group.lint.dependencies]
|
||||
SQLAlchemy = {version = "*", extras = ["mypy"]}
|
||||
black = "*"
|
||||
loguru-mypy = "*"
|
||||
mypy = "*"
|
||||
pandas-stubs = "*"
|
||||
pip-audit = "*"
|
||||
pip-licenses = "*"
|
||||
ruff = "^0.1.3"
|
||||
types-cachetools = "*"
|
||||
types-pyOpenSSL = "*"
|
||||
types-requests = "*"
|
||||
types-setuptools = "*"
|
||||
types-six = "*"
|
||||
types-tabulate = "*"
|
||||
types-tqdm = "*"
|
||||
|
||||
[tool.poetry.group.test.dependencies]
|
||||
pytest = "^7.4.2"
|
||||
pytest-clarity = "^1.0.1"
|
||||
pytest-cov = "^4.1.0"
|
||||
pytest-mock = "^3.12.0"
|
||||
pytest-repeat = "^0.9.1"
|
||||
|
||||
[tool.poetry.scripts]
|
||||
copy-sql = "aki_prj23_transparenzregister.utils.sql.copy_sql:copy_db_cli"
|
||||
data-transformation = "aki_prj23_transparenzregister.utils.data_transfer:transfer_data_cli"
|
||||
reset-sql = "aki_prj23_transparenzregister.utils.sql.connector:reset_all_tables_cli"
|
||||
webserver = "aki_prj23_transparenzregister.ui.app:main"
|
||||
|
||||
[[tool.poetry.source]]
|
||||
name = "torch-cpu"
|
||||
priority = "explicit"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
|
||||
[tool.ruff]
|
||||
exclude = [
|
||||
".bzr",
|
||||
".direnv",
|
||||
".eggs",
|
||||
".git",
|
||||
".git-rewrite",
|
||||
".hg",
|
||||
".mypy_cache",
|
||||
".nox",
|
||||
".pants.d",
|
||||
".pytype",
|
||||
".ruff_cache",
|
||||
".svn",
|
||||
".tox",
|
||||
".venv",
|
||||
"__pypackages__",
|
||||
"_build",
|
||||
"buck-out",
|
||||
"build",
|
||||
"dist",
|
||||
"node_modules",
|
||||
"venv"
|
||||
]
|
||||
# Never enforce `E501` (line length violations).
|
||||
ignore = ["E501", "D105"]
|
||||
line-length = 88
|
||||
# Enable flake8-bugbear (`B`) rules.
|
||||
select = ["E", "F", "B", "I", "S", "RSE", "RET", "SLF", "SIM", "TID", "PD", "PL", "PLE", "PLR", "PLW", "NPY", "UP", "D", "N", "A", "C4", "T20", "PT"]
|
||||
src = ["src"]
|
||||
target-version = "py311"
|
||||
unfixable = ["B"]
|
||||
|
||||
[tool.ruff.flake8-builtins]
|
||||
builtins-ignorelist = ["id"]
|
||||
|
||||
[tool.ruff.per-file-ignores]
|
||||
"tests/*.py" = ["S101", "SLF001", "S311", "D103", "PLR0913"]
|
||||
|
||||
[tool.ruff.pydocstyle]
|
||||
convention = "google"
|
||||
[build-system]
|
||||
build-backend = "poetry.core.masonry.api"
|
||||
requires = ["poetry-core"]
|
||||
|
||||
[tool.black]
|
||||
target-version = ["py311"]
|
||||
|
||||
[tool.coverage.report]
|
||||
exclude_also = ["if __name__ == .__main__.:", "if not isinstance(engine, Engine):", "@overload"]
|
||||
|
||||
[tool.coverage.run]
|
||||
branch = true
|
||||
dynamic_context = "test_function"
|
||||
relative_files = true
|
||||
source = ["src"]
|
||||
|
||||
[tool.mypy]
|
||||
disallow_untyped_defs = true
|
||||
exclude = ["\\.ipynb_checkpoints", "\\.mypy_cache", "\\.mytest_cache", "build", "venv", "\\.venv", "Jupyter"]
|
||||
follow_imports = "silent"
|
||||
ignore_missing_imports = true
|
||||
install_types = true
|
||||
non_interactive = true
|
||||
plugins = ["sqlalchemy.ext.mypy.plugin"]
|
||||
python_version = "3.11"
|
||||
warn_redundant_casts = true
|
||||
warn_unused_ignores = false
|
||||
|
||||
[tool.poetry]
|
||||
authors = ["AKI Projektgruppe 23"]
|
||||
classifiers = []
|
||||
description = "Data Integration, Extraction, and Visualization using Text Mining and AI to reveal valuable insights, hidden patterns, and gain a deeper understanding of the business landscape of german companies."
|
||||
documentation = "https://cuddly-waffle-r416zgy.pages.github.io/"
|
||||
homepage = "https://cuddly-waffle-r416zgy.pages.github.io/"
|
||||
keywords = ["deutschland", "economy", "transparenzregister", "dataintegration", "handelsregister"]
|
||||
maintainers = [
|
||||
"Philipp Horstenkamp <philipp@horstenkamp.de>",
|
||||
"Tristan Nolde <contact@trisnol.dev>",
|
||||
"Sebastian Zeleny <zeleny.sebastian@fh-swf.de>",
|
||||
"Kim Mesewinkel-Risse",
|
||||
"Tim Ronneburg",
|
||||
"Sascha Zhu <sascha.zhu@eugreen.de>"
|
||||
]
|
||||
name = "aki-prj23-transparenzregister"
|
||||
packages = [{include = "aki_prj23_transparenzregister", from = "src"}]
|
||||
readme = "README.md"
|
||||
repository = "https://github.com/fhswf/aki_prj23_transparenzregister"
|
||||
version = "0.1.0"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
SQLAlchemy = "^1.4.50"
|
||||
aenum = "^3.1.15"
|
||||
babel = "^2.13.1"
|
||||
cachetools = "^5.3.1"
|
||||
dash = "^2.14.1"
|
||||
dash-auth = "^2.0.0"
|
||||
dash-bootstrap-components = "^1.5.0"
|
||||
datetime = "^5.2"
|
||||
deutschland = {git = "https://github.com/TrisNol/deutschland.git", branch = "hotfix/python-3.11-support"}
|
||||
frozendict = "^2.3.8"
|
||||
loguru = "^0.7.0"
|
||||
matplotlib = "^3.8.1"
|
||||
pgeocode = "^0.4.1"
|
||||
psycopg2-binary = "^2.9.7"
|
||||
pymongo = "^4.6.0"
|
||||
python = "^3.11"
|
||||
python-dotenv = "^1.0.0"
|
||||
rapidfuzz = "^3.5.1"
|
||||
seaborn = "^0.13.0"
|
||||
selenium = "^4.15.0"
|
||||
spacy = "^3.6.1"
|
||||
spacy-sentiws = "^3.0.0"
|
||||
torch = {version = "*", source = "torch-cpu"}
|
||||
torchaudio = {version = "*", source = "torch-cpu"}
|
||||
torchvision = {version = "*", source = "torch-cpu"}
|
||||
tqdm = "^4.66.1"
|
||||
transformers = {version = "*", extras = ["torch"]}
|
||||
xmltodict = "^0.13.0"
|
||||
|
||||
[tool.poetry.extras]
|
||||
ingest = ["selenium", "deutschland", "xmltodict"]
|
||||
transformation = ["torch", "torchaudio", "torchvision", "transformers", "spacy-sentiws", "spacy"]
|
||||
web-server = ["dash", "dash-auth", "dash-bootstrap-components", "matplotlib", "seaborn"]
|
||||
|
||||
[tool.poetry.group.develop.dependencies]
|
||||
black = {extras = ["jupyter"], version = "^23.9.1"}
|
||||
jupyterlab = "^4.0.6"
|
||||
nbconvert = "^7.10.0"
|
||||
openpyxl = "^3.1.2"
|
||||
pre-commit = "^3.4.0"
|
||||
rise = "^5.7.1"
|
||||
|
||||
[tool.poetry.group.doc.dependencies]
|
||||
jupyter = "^1.0.0"
|
||||
myst-parser = "^1.0.0"
|
||||
nbsphinx = "^0.9.2"
|
||||
sphinx = "*"
|
||||
sphinx-copybutton = "^0.5.2"
|
||||
sphinx-git = "^11.0.0"
|
||||
sphinx-notfound-page = "^1.0.0"
|
||||
sphinx-rtd-theme = "^1.3.0"
|
||||
sphinx_autodoc_typehints = "*"
|
||||
sphinxcontrib-drawio = "^0.0.17"
|
||||
sphinxcontrib-mermaid = "^0.9.2"
|
||||
sphinxcontrib-napoleon = "^0.7"
|
||||
|
||||
[tool.poetry.group.lint.dependencies]
|
||||
SQLAlchemy = {version = "*", extras = ["mypy"]}
|
||||
black = "*"
|
||||
loguru-mypy = "*"
|
||||
mypy = "*"
|
||||
pandas-stubs = "*"
|
||||
pip-audit = "*"
|
||||
pip-licenses = "*"
|
||||
ruff = "*"
|
||||
types-cachetools = "*"
|
||||
types-decorator = "*"
|
||||
types-pyOpenSSL = "*"
|
||||
types-requests = "*"
|
||||
types-setuptools = "*"
|
||||
types-six = "*"
|
||||
types-tabulate = "*"
|
||||
types-tqdm = "*"
|
||||
|
||||
[tool.poetry.group.test.dependencies]
|
||||
pytest = "^7.4.2"
|
||||
pytest-clarity = "^1.0.1"
|
||||
pytest-cov = "^4.1.0"
|
||||
pytest-mock = "^3.12.0"
|
||||
pytest-repeat = "^0.9.1"
|
||||
|
||||
[tool.poetry.scripts]
|
||||
copy-sql = "aki_prj23_transparenzregister.utils.sql.copy_sql:copy_db_cli"
|
||||
data-transformation = "aki_prj23_transparenzregister.utils.data_transfer:transfer_data_cli"
|
||||
reset-sql = "aki_prj23_transparenzregister.utils.sql.connector:reset_all_tables_cli"
|
||||
webserver = "aki_prj23_transparenzregister.ui.app:main"
|
||||
|
||||
[[tool.poetry.source]]
|
||||
name = "torch-cpu"
|
||||
priority = "explicit"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
|
||||
[tool.ruff]
|
||||
exclude = [
|
||||
".bzr",
|
||||
".direnv",
|
||||
".eggs",
|
||||
".git",
|
||||
".git-rewrite",
|
||||
".hg",
|
||||
".mypy_cache",
|
||||
".nox",
|
||||
".pants.d",
|
||||
".pytype",
|
||||
".ruff_cache",
|
||||
".svn",
|
||||
".tox",
|
||||
".venv",
|
||||
"__pypackages__",
|
||||
"_build",
|
||||
"buck-out",
|
||||
"build",
|
||||
"dist",
|
||||
"node_modules",
|
||||
"venv"
|
||||
]
|
||||
# Never enforce `E501` (line length violations).
|
||||
ignore = ["E501", "D105"]
|
||||
line-length = 88
|
||||
# Enable flake8-bugbear (`B`) rules.
|
||||
select = ["E", "F", "B", "I", "S", "RSE", "RET", "SLF", "SIM", "TID", "PD", "PL", "PLE", "PLR", "PLW", "NPY", "UP", "D", "N", "A", "C4", "T20", "PT"]
|
||||
src = ["src"]
|
||||
target-version = "py311"
|
||||
unfixable = ["B"]
|
||||
|
||||
[tool.ruff.flake8-builtins]
|
||||
builtins-ignorelist = ["id"]
|
||||
|
||||
[tool.ruff.per-file-ignores]
|
||||
"tests/*.py" = ["S101", "SLF001", "S311", "D103", "PLR0913"]
|
||||
|
||||
[tool.ruff.pydocstyle]
|
||||
convention = "google"
|
||||
|
||||
Reference in New Issue
Block a user