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|
%global _empty_manifest_terminate_build 0
Name: python-nlp
Version: 0.4.0
Release: 1
Summary: HuggingFace/NLP is an open library of NLP datasets.
License: Apache 2.0
URL: https://github.com/huggingface/nlp
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/fe/61/73576d622a55c86197516855b82bdddba227046eb7d3a4f480bd11ac8200/nlp-0.4.0.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-pyarrow
Requires: python3-dill
Requires: python3-pandas
Requires: python3-requests
Requires: python3-tqdm
Requires: python3-filelock
Requires: python3-xxhash
Requires: python3-dataclasses
Requires: python3-apache-beam
Requires: python3-apache-beam
Requires: python3-absl-py
Requires: python3-bs4
Requires: python3-elasticsearch
Requires: python3-faiss-cpu
Requires: python3-langdetect
Requires: python3-mwparserfromhell
Requires: python3-nltk
Requires: python3-pytest
Requires: python3-pytest-xdist
Requires: python3-tensorflow
Requires: python3-torch
Requires: python3-tldextract
Requires: python3-zstandard
Requires: python3-black
Requires: python3-isort
Requires: python3-flake8
Requires: python3-recommonmark
Requires: python3-sphinx
Requires: python3-sphinx-markdown-tables
Requires: python3-sphinx-rtd-theme
Requires: python3-sphinx-copybutton
Requires: python3-black
Requires: python3-isort
Requires: python3-flake8
Requires: python3-tensorflow
Requires: python3-tensorflow-gpu
Requires: python3-apache-beam
Requires: python3-absl-py
Requires: python3-bs4
Requires: python3-elasticsearch
Requires: python3-faiss-cpu
Requires: python3-langdetect
Requires: python3-mwparserfromhell
Requires: python3-nltk
Requires: python3-pytest
Requires: python3-pytest-xdist
Requires: python3-tensorflow
Requires: python3-torch
Requires: python3-tldextract
Requires: python3-zstandard
Requires: python3-torch
%description
Simple check list for release from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py
To create the package for pypi.
1. Change the version in __init__.py, setup.py as well as docs/source/conf.py.
2. Commit these changes with the message: "Release: VERSION"
3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VERSION for pypi' "
Push the tag to git: git push --tags origin master
4. Build both the sources and the wheel. Do not change anything in setup.py between
creating the wheel and the source distribution (obviously).
For the wheel, run: "python setup.py bdist_wheel" in the top level directory.
(this will build a wheel for the python version you use to build it).
For the sources, run: "python setup.py sdist"
You should now have a /dist directory with both .whl and .tar.gz source versions.
5. Check that everything looks correct by uploading the package to the pypi test server:
twine upload dist/* -r pypitest
(pypi suggest using twine as other methods upload files via plaintext.)
You may have to specify the repository url, use the following command then:
twine upload dist/* -r pypitest --repository-url=https://test.pypi.org/legacy/
Check that you can install it in a virtualenv by running:
pip install -i https://testpypi.python.org/pypi nlp
6. Upload the final version to actual pypi:
twine upload dist/* -r pypi
7. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory.
8. Update the documentation commit in .circleci/deploy.sh for the accurate documentation to be displayed
9. Update README.md to redirect to correct documentation.
%package -n python3-nlp
Summary: HuggingFace/NLP is an open library of NLP datasets.
Provides: python-nlp
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-nlp
Simple check list for release from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py
To create the package for pypi.
1. Change the version in __init__.py, setup.py as well as docs/source/conf.py.
2. Commit these changes with the message: "Release: VERSION"
3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VERSION for pypi' "
Push the tag to git: git push --tags origin master
4. Build both the sources and the wheel. Do not change anything in setup.py between
creating the wheel and the source distribution (obviously).
For the wheel, run: "python setup.py bdist_wheel" in the top level directory.
(this will build a wheel for the python version you use to build it).
For the sources, run: "python setup.py sdist"
You should now have a /dist directory with both .whl and .tar.gz source versions.
5. Check that everything looks correct by uploading the package to the pypi test server:
twine upload dist/* -r pypitest
(pypi suggest using twine as other methods upload files via plaintext.)
You may have to specify the repository url, use the following command then:
twine upload dist/* -r pypitest --repository-url=https://test.pypi.org/legacy/
Check that you can install it in a virtualenv by running:
pip install -i https://testpypi.python.org/pypi nlp
6. Upload the final version to actual pypi:
twine upload dist/* -r pypi
7. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory.
8. Update the documentation commit in .circleci/deploy.sh for the accurate documentation to be displayed
9. Update README.md to redirect to correct documentation.
%package help
Summary: Development documents and examples for nlp
Provides: python3-nlp-doc
%description help
Simple check list for release from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py
To create the package for pypi.
1. Change the version in __init__.py, setup.py as well as docs/source/conf.py.
2. Commit these changes with the message: "Release: VERSION"
3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VERSION for pypi' "
Push the tag to git: git push --tags origin master
4. Build both the sources and the wheel. Do not change anything in setup.py between
creating the wheel and the source distribution (obviously).
For the wheel, run: "python setup.py bdist_wheel" in the top level directory.
(this will build a wheel for the python version you use to build it).
For the sources, run: "python setup.py sdist"
You should now have a /dist directory with both .whl and .tar.gz source versions.
5. Check that everything looks correct by uploading the package to the pypi test server:
twine upload dist/* -r pypitest
(pypi suggest using twine as other methods upload files via plaintext.)
You may have to specify the repository url, use the following command then:
twine upload dist/* -r pypitest --repository-url=https://test.pypi.org/legacy/
Check that you can install it in a virtualenv by running:
pip install -i https://testpypi.python.org/pypi nlp
6. Upload the final version to actual pypi:
twine upload dist/* -r pypi
7. Copy the release notes from RELEASE.md to the tag in github once everything is looking hunky-dory.
8. Update the documentation commit in .circleci/deploy.sh for the accurate documentation to be displayed
9. Update README.md to redirect to correct documentation.
%prep
%autosetup -n nlp-0.4.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-nlp -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.0-1
- Package Spec generated
|
