automatic import of python-chinese-whispers

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+/chinese_whispers-0.8.1.tar.gz
diff --git a/python-chinese-whispers.spec b/python-chinese-whispers.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-chinese-whispers
+Version:	0.8.1
+Release:	1
+Summary:	An implementation of the Chinese Whispers clustering algorithm.
+License:	MIT
+URL:		https://github.com/nlpub/chinese-whispers-python
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/1b/1d/816d337e9dd30f0948c86266b00d47fb2a4cc15c0bcdcb450575f3f7dfaa/chinese_whispers-0.8.1.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-networkx
+
+%description
+# Chinese Whispers for Python
+
+This is an implementation of the [Chinese Whispers](https://doi.org/10.3115/1654758.1654774) clustering algorithm in Python. Since this library is based on [NetworkX](https://networkx.github.io/), it is simple to use.
+
+[![Unit Tests][github_tests_badge]][github_tests_link] [![Read the Docs][rtfd_badge]][rtfd_link] [![PyPI Version][pypi_badge]][pypi_link]
+
+[github_tests_badge]: https://github.com/nlpub/chinese-whispers-python/workflows/Unit%20Tests/badge.svg?branch=master
+[github_tests_link]: https://github.com/nlpub/chinese-whispers-python/actions?query=workflow%3A%22Unit+Tests%22
+[rtfd_badge]: https://readthedocs.org/projects/chinese-whispers/badge/
+[rtfd_link]: https://chinese-whispers.readthedocs.io/
+[pypi_badge]: https://badge.fury.io/py/chinese-whispers.svg
+[pypi_link]: https://pypi.python.org/pypi/chinese-whispers
+
+Given a NetworkX graph `G`, this library can [cluster](https://en.wikipedia.org/wiki/Cluster_analysis) it using the following code:
+
+```python
+from chinese_whispers import chinese_whispers
+chinese_whispers(G, weighting='top', iterations=20)
+```
+
+As the result, each node of the input graph is provided with the `label` attribute that stores the cluster label.
+
+The library also offers a convenient command-line interface (CLI) for clustering graphs represented in the ABC tab-separated format (source`\t`target`\t`weight).
+
+```shell
+# Write karate_club.tsv (just as example)
+python3 -c 'import networkx as nx; nx.write_weighted_edgelist(nx.karate_club_graph(), "karate_club.tsv", delimiter="\t")'
+
+# Using as CLI
+chinese-whispers karate_club.tsv
+
+# Using as module (same CLI as above)
+python3 -mchinese_whispers karate_club.tsv
+```
+
+A more complete usage example is available in the [example notebook](https://github.com/nlpub/chinese-whispers-python/blob/master/example.ipynb) and at <https://nlpub.github.io/chinese-whispers-python/>.
+
+In case you require higher performance, please consider our Java implementation that also includes other graph clustering algorithms: <https://github.com/nlpub/watset-java>.
+
+## Citation
+
+* [Ustalov, D.](https://github.com/dustalov), [Panchenko, A.](https://github.com/alexanderpanchenko), [Biemann, C.](https://www.inf.uni-hamburg.de/en/inst/ab/lt/people/chris-biemann.html), [Ponzetto, S.P.](https://www.uni-mannheim.de/dws/people/professors/prof-dr-simone-paolo-ponzetto/): [Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction](https://doi.org/10.1162/COLI_a_00354). Computational Linguistics 45(3), 423&ndash;479 (2019)
+
+```bibtex
+@article{Ustalov:19:cl,
+  author    = {Ustalov, Dmitry and Panchenko, Alexander and Biemann, Chris and Ponzetto, Simone Paolo},
+  title     = {{Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction}},
+  journal   = {Computational Linguistics},
+  year      = {2019},
+  volume    = {45},
+  number    = {3},
+  pages     = {423--479},
+  doi       = {10.1162/COLI_a_00354},
+  publisher = {MIT Press},
+  issn      = {0891-2017},
+  language  = {english},
+}
+```
+
+## Copyright
+
+Copyright (c) 2018&ndash;2022 [Dmitry Ustalov](https://github.com/dustalov). See [LICENSE](LICENSE) for details.
+
+
+%package -n python3-chinese-whispers
+Summary:	An implementation of the Chinese Whispers clustering algorithm.
+Provides:	python-chinese-whispers
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-chinese-whispers
+# Chinese Whispers for Python
+
+This is an implementation of the [Chinese Whispers](https://doi.org/10.3115/1654758.1654774) clustering algorithm in Python. Since this library is based on [NetworkX](https://networkx.github.io/), it is simple to use.
+
+[![Unit Tests][github_tests_badge]][github_tests_link] [![Read the Docs][rtfd_badge]][rtfd_link] [![PyPI Version][pypi_badge]][pypi_link]
+
+[github_tests_badge]: https://github.com/nlpub/chinese-whispers-python/workflows/Unit%20Tests/badge.svg?branch=master
+[github_tests_link]: https://github.com/nlpub/chinese-whispers-python/actions?query=workflow%3A%22Unit+Tests%22
+[rtfd_badge]: https://readthedocs.org/projects/chinese-whispers/badge/
+[rtfd_link]: https://chinese-whispers.readthedocs.io/
+[pypi_badge]: https://badge.fury.io/py/chinese-whispers.svg
+[pypi_link]: https://pypi.python.org/pypi/chinese-whispers
+
+Given a NetworkX graph `G`, this library can [cluster](https://en.wikipedia.org/wiki/Cluster_analysis) it using the following code:
+
+```python
+from chinese_whispers import chinese_whispers
+chinese_whispers(G, weighting='top', iterations=20)
+```
+
+As the result, each node of the input graph is provided with the `label` attribute that stores the cluster label.
+
+The library also offers a convenient command-line interface (CLI) for clustering graphs represented in the ABC tab-separated format (source`\t`target`\t`weight).
+
+```shell
+# Write karate_club.tsv (just as example)
+python3 -c 'import networkx as nx; nx.write_weighted_edgelist(nx.karate_club_graph(), "karate_club.tsv", delimiter="\t")'
+
+# Using as CLI
+chinese-whispers karate_club.tsv
+
+# Using as module (same CLI as above)
+python3 -mchinese_whispers karate_club.tsv
+```
+
+A more complete usage example is available in the [example notebook](https://github.com/nlpub/chinese-whispers-python/blob/master/example.ipynb) and at <https://nlpub.github.io/chinese-whispers-python/>.
+
+In case you require higher performance, please consider our Java implementation that also includes other graph clustering algorithms: <https://github.com/nlpub/watset-java>.
+
+## Citation
+
+* [Ustalov, D.](https://github.com/dustalov), [Panchenko, A.](https://github.com/alexanderpanchenko), [Biemann, C.](https://www.inf.uni-hamburg.de/en/inst/ab/lt/people/chris-biemann.html), [Ponzetto, S.P.](https://www.uni-mannheim.de/dws/people/professors/prof-dr-simone-paolo-ponzetto/): [Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction](https://doi.org/10.1162/COLI_a_00354). Computational Linguistics 45(3), 423&ndash;479 (2019)
+
+```bibtex
+@article{Ustalov:19:cl,
+  author    = {Ustalov, Dmitry and Panchenko, Alexander and Biemann, Chris and Ponzetto, Simone Paolo},
+  title     = {{Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction}},
+  journal   = {Computational Linguistics},
+  year      = {2019},
+  volume    = {45},
+  number    = {3},
+  pages     = {423--479},
+  doi       = {10.1162/COLI_a_00354},
+  publisher = {MIT Press},
+  issn      = {0891-2017},
+  language  = {english},
+}
+```
+
+## Copyright
+
+Copyright (c) 2018&ndash;2022 [Dmitry Ustalov](https://github.com/dustalov). See [LICENSE](LICENSE) for details.
+
+
+%package help
+Summary:	Development documents and examples for chinese-whispers
+Provides:	python3-chinese-whispers-doc
+%description help
+# Chinese Whispers for Python
+
+This is an implementation of the [Chinese Whispers](https://doi.org/10.3115/1654758.1654774) clustering algorithm in Python. Since this library is based on [NetworkX](https://networkx.github.io/), it is simple to use.
+
+[![Unit Tests][github_tests_badge]][github_tests_link] [![Read the Docs][rtfd_badge]][rtfd_link] [![PyPI Version][pypi_badge]][pypi_link]
+
+[github_tests_badge]: https://github.com/nlpub/chinese-whispers-python/workflows/Unit%20Tests/badge.svg?branch=master
+[github_tests_link]: https://github.com/nlpub/chinese-whispers-python/actions?query=workflow%3A%22Unit+Tests%22
+[rtfd_badge]: https://readthedocs.org/projects/chinese-whispers/badge/
+[rtfd_link]: https://chinese-whispers.readthedocs.io/
+[pypi_badge]: https://badge.fury.io/py/chinese-whispers.svg
+[pypi_link]: https://pypi.python.org/pypi/chinese-whispers
+
+Given a NetworkX graph `G`, this library can [cluster](https://en.wikipedia.org/wiki/Cluster_analysis) it using the following code:
+
+```python
+from chinese_whispers import chinese_whispers
+chinese_whispers(G, weighting='top', iterations=20)
+```
+
+As the result, each node of the input graph is provided with the `label` attribute that stores the cluster label.
+
+The library also offers a convenient command-line interface (CLI) for clustering graphs represented in the ABC tab-separated format (source`\t`target`\t`weight).
+
+```shell
+# Write karate_club.tsv (just as example)
+python3 -c 'import networkx as nx; nx.write_weighted_edgelist(nx.karate_club_graph(), "karate_club.tsv", delimiter="\t")'
+
+# Using as CLI
+chinese-whispers karate_club.tsv
+
+# Using as module (same CLI as above)
+python3 -mchinese_whispers karate_club.tsv
+```
+
+A more complete usage example is available in the [example notebook](https://github.com/nlpub/chinese-whispers-python/blob/master/example.ipynb) and at <https://nlpub.github.io/chinese-whispers-python/>.
+
+In case you require higher performance, please consider our Java implementation that also includes other graph clustering algorithms: <https://github.com/nlpub/watset-java>.
+
+## Citation
+
+* [Ustalov, D.](https://github.com/dustalov), [Panchenko, A.](https://github.com/alexanderpanchenko), [Biemann, C.](https://www.inf.uni-hamburg.de/en/inst/ab/lt/people/chris-biemann.html), [Ponzetto, S.P.](https://www.uni-mannheim.de/dws/people/professors/prof-dr-simone-paolo-ponzetto/): [Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction](https://doi.org/10.1162/COLI_a_00354). Computational Linguistics 45(3), 423&ndash;479 (2019)
+
+```bibtex
+@article{Ustalov:19:cl,
+  author    = {Ustalov, Dmitry and Panchenko, Alexander and Biemann, Chris and Ponzetto, Simone Paolo},
+  title     = {{Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction}},
+  journal   = {Computational Linguistics},
+  year      = {2019},
+  volume    = {45},
+  number    = {3},
+  pages     = {423--479},
+  doi       = {10.1162/COLI_a_00354},
+  publisher = {MIT Press},
+  issn      = {0891-2017},
+  language  = {english},
+}
+```
+
+## Copyright
+
+Copyright (c) 2018&ndash;2022 [Dmitry Ustalov](https://github.com/dustalov). See [LICENSE](LICENSE) for details.
+
+
+%prep
+%autosetup -n chinese-whispers-0.8.1
+
+%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-chinese-whispers -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 15 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.1-1
+- Package Spec generated
diff --git a/sources b/sources
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+837619934f59b428cfe985c24d686b16  chinese_whispers-0.8.1.tar.gz