%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 - 0.4.0-1 - Package Spec generated