143 строки
5.7 KiB
Python
143 строки
5.7 KiB
Python
"""
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Simple check list from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py
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To create the package for pypi.
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1. Change the version in __init__.py, setup.py as well as docs/source/conf.py.
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2. Unpin specific versions from setup.py (like isort).
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2. Commit these changes with the message: "Release: VERSION"
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3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VERSION for pypi' "
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Push the tag to git: git push --tags origin master
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4. Build both the sources and the wheel. Do not change anything in setup.py between
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creating the wheel and the source distribution (obviously).
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For the wheel, run: "python setup.py bdist_wheel" in the top level directory.
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(this will build a wheel for the python version you use to build it).
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For the sources, run: "python setup.py sdist"
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You should now have a /dist directory with both .whl and .tar.gz source versions.
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5. Check that everything looks correct by uploading the package to the pypi test server:
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twine upload dist/* -r pypitest
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(pypi suggest using twine as other methods upload files via plaintext.)
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You may have to specify the repository url, use the following command then:
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twine upload dist/* -r pypitest --repository-url=https://test.pypi.org/legacy/
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Check that you can install it in a virtualenv by running:
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pip install -i https://testpypi.python.org/pypi transformers
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6. Upload the final version to actual pypi:
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twine upload dist/* -r pypi
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7. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory.
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8. Update the documentation commit in .circleci/deploy.sh for the accurate documentation to be displayed
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9. Update README.md to redirect to correct documentation.
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"""
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import shutil
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from pathlib import Path
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from setuptools import find_packages, setup
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# Remove stale transformers.egg-info directory to avoid https://github.com/pypa/pip/issues/5466
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stale_egg_info = Path(__file__).parent / "transformers.egg-info"
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if stale_egg_info.exists():
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print(
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(
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"Warning: {} exists.\n\n"
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"If you recently updated transformers to 3.0 or later, this is expected,\n"
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"but it may prevent transformers from installing in editable mode.\n\n"
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"This directory is automatically generated by Python's packaging tools.\n"
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"I will remove it now.\n\n"
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"See https://github.com/pypa/pip/issues/5466 for details.\n"
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).format(stale_egg_info)
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)
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shutil.rmtree(stale_egg_info)
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extras = {}
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extras["mecab"] = ["mecab-python3"]
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extras["sklearn"] = ["scikit-learn"]
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# keras2onnx and onnxconverter-common version is specific through a commit until 1.7.0 lands on pypi
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extras["tf"] = [
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"tensorflow",
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"onnxconverter-common @ git+git://github.com/microsoft/onnxconverter-common.git@f64ca15989b6dc95a1f3507ff6e4c395ba12dff5#egg=onnxconverter-common",
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"keras2onnx @ git+git://github.com/onnx/keras-onnx.git@cbdc75cb950b16db7f0a67be96a278f8d2953b48#egg=keras2onnx"
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]
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extras["tf-cpu"] = [
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"tensorflow-cpu",
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"onnxconverter-common @ git+git://github.com/microsoft/onnxconverter-common.git@f64ca15989b6dc95a1f3507ff6e4c395ba12dff5#egg=onnxconverter-common",
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"keras2onnx @ git+git://github.com/onnx/keras-onnx.git@cbdc75cb950b16db7f0a67be96a278f8d2953b48#egg=keras2onnx"
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]
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extras["torch"] = ["torch"]
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extras["serving"] = ["pydantic", "uvicorn", "fastapi", "starlette"]
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extras["all"] = extras["serving"] + ["tensorflow", "torch"]
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extras["testing"] = ["pytest", "pytest-xdist", "timeout-decorator"]
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extras["docs"] = ["recommonmark", "sphinx", "sphinx-markdown-tables", "sphinx-rtd-theme"]
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extras["quality"] = [
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"black",
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"isort @ git+git://github.com/timothycrosley/isort.git@e63ae06ec7d70b06df9e528357650281a3d3ec22#egg=isort",
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"flake8",
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]
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extras["dev"] = extras["testing"] + extras["quality"] + ["mecab-python3", "scikit-learn", "tensorflow", "torch"]
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setup(
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name="transformers",
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version="2.10.0",
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author="Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Sam Shleifer, Patrick von Platen, Google AI Language Team Authors, Open AI team Authors, Facebook AI Authors, Carnegie Mellon University Authors",
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author_email="thomas@huggingface.co",
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description="State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch",
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long_description=open("README.md", "r", encoding="utf-8").read(),
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long_description_content_type="text/markdown",
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keywords="NLP deep learning transformer pytorch tensorflow BERT GPT GPT-2 google openai CMU",
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license="Apache",
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url="https://github.com/huggingface/transformers",
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package_dir={"": "src"},
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packages=find_packages("src"),
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install_requires=[
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"numpy",
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"tokenizers == 0.7.0",
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# dataclasses for Python versions that don't have it
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"dataclasses;python_version<'3.7'",
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# filesystem locks e.g. to prevent parallel downloads
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"filelock",
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# for downloading models over HTTPS
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"requests",
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# progress bars in model download and training scripts
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"tqdm >= 4.27",
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# for OpenAI GPT
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"regex != 2019.12.17",
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# for XLNet
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"sentencepiece",
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# for XLM
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"sacremoses",
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],
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extras_require=extras,
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scripts=["transformers-cli"],
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python_requires=">=3.6.0",
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classifiers=[
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"Development Status :: 5 - Production/Stable",
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"Intended Audience :: Developers",
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"Intended Audience :: Education",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: Apache Software License",
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"Operating System :: OS Independent",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.6",
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"Programming Language :: Python :: 3.7",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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],
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)
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