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@@ -0,0 +1 @@ +/pytextrank-3.2.4.tar.gz diff --git a/python-pytextrank.spec b/python-pytextrank.spec new file mode 100644 index 0000000..d7d5896 --- /dev/null +++ b/python-pytextrank.spec @@ -0,0 +1,703 @@ +%global _empty_manifest_terminate_build 0 +Name: python-pytextrank +Version: 3.2.4 +Release: 1 +Summary: Python implementation of TextRank as a spaCy pipeline extension, for graph-based natural language work plus related knowledge graph practices; used for for phrase extraction and lightweight extractive summarization of text documents. +License: MIT +URL: https://derwen.ai/docs/ptr/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/b0/37/407ec5ea479e13d0230d333c4b645c786eb7f56e44e1203055b3a89ddd5d/pytextrank-3.2.4.tar.gz +BuildArch: noarch + +Requires: python3-graphviz +Requires: python3-icecream +Requires: python3-networkx[default] +Requires: python3-pygments +Requires: python3-scipy +Requires: python3-spacy +Requires: python3-graphviz +Requires: python3-icecream +Requires: python3-networkx[default] +Requires: python3-pygments +Requires: python3-scipy +Requires: python3-spacy +Requires: python3-bandit +Requires: python3-check-manifest +Requires: python3-codespell +Requires: python3-coverage +Requires: python3-flask +Requires: python3-grayskull +Requires: python3-jupyterlab +Requires: python3-mistune +Requires: python3-mkdocs-git-revision-date-plugin +Requires: python3-mkdocs-material +Requires: python3-mknotebooks +Requires: python3-mkrefs +Requires: python3-mypy +Requires: python3-nbconvert +Requires: python3-nbmake +Requires: python3-notebook +Requires: python3-pipdeptree +Requires: python3-pre-commit +Requires: python3-pylint +Requires: python3-pytest +Requires: python3-pymdown-extensions +Requires: python3-selenium +Requires: python3-twine +Requires: python3-wheel +Requires: python3-altair + +%description +# PyTextRank + +[](https://doi.org/10.5281/zenodo.4637885) + + + +[](http://mypy-lang.org/) +[](https://github.com/PyCQA/bandit) +[](https://lgtm.com/projects/g/DerwenAI/pytextrank/context:python) + + + + +**PyTextRank** is a Python implementation of *TextRank* as a +[spaCy pipeline extension](https://spacy.io/universe/project/spacy-pytextrank), +for graph-based natural language work -- and related knowledge graph practices. +This includes the family of +[*textgraph*](https://derwen.ai/docs/ptr/glossary/#textgraphs) algorithms: + + - *TextRank* by [[mihalcea04textrank]](https://derwen.ai/docs/ptr/biblio/#mihalcea04textrank) + - *PositionRank* by [[florescuc17]](https://derwen.ai/docs/ptr/biblio/#florescuc17) + - *Biased TextRank* by [[kazemi-etal-2020-biased]](https://derwen.ai/docs/ptr/biblio/#kazemi-etal-2020-biased) + - *TopicRank* by [[bougouin-etal-2013-topicrank]](https://derwen.ai/docs/ptr/biblio/#bougouin-etal-2013-topicrank) + +Popular use cases for this library include: + + - *phrase extraction*: get the top-ranked phrases from a text document + - low-cost *extractive summarization* of a text document + - help infer concepts from unstructured text into more structured representation + +See our full documentation at: <https://derwen.ai/docs/ptr/> + + +## Getting Started + +See the ["Getting Started"](https://derwen.ai/docs/ptr/start/) +section of the online documentation. + +To install from [PyPi](https://pypi.python.org/pypi/pytextrank): +``` +python3 -m pip install pytextrank +python3 -m spacy download en_core_web_sm +``` + +If you work directly from this Git repo, be sure to install the +dependencies as well: +``` +python3 -m pip install -r requirements.txt +``` + +Alternatively, to install dependencies using `conda`: +``` +conda env create -f environment.yml +conda activate pytextrank +``` + +Then to use the library with a simple use case: +```python +import spacy +import pytextrank + +# example text +text = "Compatibility of systems of linear constraints over the set of natural numbers. Criteria of compatibility of a system of linear Diophantine equations, strict inequations, and nonstrict inequations are considered. Upper bounds for components of a minimal set of solutions and algorithms of construction of minimal generating sets of solutions for all types of systems are given. These criteria and the corresponding algorithms for constructing a minimal supporting set of solutions can be used in solving all the considered types systems and systems of mixed types." + +# load a spaCy model, depending on language, scale, etc. +nlp = spacy.load("en_core_web_sm") + +# add PyTextRank to the spaCy pipeline +nlp.add_pipe("textrank") +doc = nlp(text) + +# examine the top-ranked phrases in the document +for phrase in doc._.phrases: + print(phrase.text) + print(phrase.rank, phrase.count) + print(phrase.chunks) +``` + +See the **tutorial notebooks** in the `examples` subdirectory for +sample code and patterns to use in integrating **PyTextTank** with +related libraries in Python: +<https://derwen.ai/docs/ptr/tutorial/> + + +<details> + <summary>Contributing Code</summary> + +We welcome people getting involved as contributors to this open source +project! + +For detailed instructions please see: +[CONTRIBUTING.md](https://github.com/DerwenAI/pytextrank/blob/main/CONTRIBUTING.md) +</details> + +<details> + <summary>Build Instructions</summary> + +<strong> +Note: unless you are contributing code and updates, +in most use cases won't need to build this package locally. +</strong> + +Instead, simply install from +[PyPi](https://pypi.python.org/pypi/pytextrank) +or use [Conda](https://docs.conda.io/). + +To set up the build environment locally, see the +["Build Instructions"](https://derwen.ai/docs/ptr/build/) +section of the online documentation. +</details> + +<details> + <summary>Semantic Versioning</summary> + +Generally speaking the major release number of <strong>PyTextRank</strong> +will track with the major release number of the associated <code>spaCy</code> +version. + +See: +[CHANGELOG.md](https://github.com/DerwenAI/pytextrank/blob/main/CHANGELOG.md) +</details> + +<img + alt="thanks noam!" + src="https://raw.githubusercontent.com/DerwenAI/pytextrank/main/docs/assets/noam.jpg" + width="231" +/> + + +## License and Copyright + +Source code for **PyTextRank** plus its logo, documentation, and examples +have an [MIT license](https://spdx.org/licenses/MIT.html) which is +succinct and simplifies use in commercial applications. + +All materials herein are Copyright © 2016-2022 Derwen, Inc. + + +## Attribution + +Please use the following BibTeX entry for citing **PyTextRank** if you +use it in your research or software: +```bibtex +@software{PyTextRank, + author = {Paco Nathan}, + title = {{PyTextRank, a Python implementation of TextRank for phrase extraction and summarization of text documents}}, + year = 2016, + publisher = {Derwen}, + doi = {10.5281/zenodo.4637885}, + url = {https://github.com/DerwenAI/pytextrank} +} +``` + +Citations are helpful for the continued development and maintenance of +this library. +For example, see our citations listed on +[Google Scholar](https://scholar.google.com/scholar?q=related:5tl6J4xZlCIJ:scholar.google.com/&scioq=&hl=en&as_sdt=0,5). + + +## Kudos + +Many thanks to our open source [sponsors](https://github.com/sponsors/ceteri); +and to our contributors: +[@ceteri](https://github.com/ceteri), +[@louisguitton](https://github.com/louisguitton), +[@Ankush-Chander](https://github.com/Ankush-Chander), +[@tomaarsen](https://github.com/tomaarsen), +[@CaptXiong](https://github.com/CaptXiong), +[@Lord-V15](https://github.com/Lord-V15), +[@anna-droid-beep](https://github.com/anna-droid-beep), +[@dvsrepo](https://github.com/dvsrepo), +[@clabornd](https://github.com/clabornd), +[@dayalstrub-cma](https://github.com/dayalstrub-cma), +[@kavorite](https://github.com/kavorite), +[@htmartin](https://github.com/htmartin), +[@williamsmj](https://github.com/williamsmj/), +[@mattkohl](https://github.com/mattkohl), +[@vanita5](https://github.com/vanita5), +[@HarshGrandeur](https://github.com/HarshGrandeur), +[@mnowotka](https://github.com/mnowotka), +[@kjam](https://github.com/kjam), +[@SaiThejeshwar](https://github.com/SaiThejeshwar), +[@laxatives](https://github.com/laxatives), +[@dimmu](https://github.com/dimmu), +[@JasonZhangzy1757](https://github.com/JasonZhangzy1757), +[@jake-aft](https://github.com/jake-aft), +[@junchen1992](https://github.com/junchen1992), +[@shyamcody](https://github.com/shyamcody), +[@chikubee](https://github.com/chikubee); +also to [@mihalcea](https://github.com/mihalcea) who leads outstanding NLP research work, +encouragement from the wonderful folks at Explosion who develop [spaCy](https://github.com/explosion/spaCy), +plus general support from [Derwen, Inc.](https://derwen.ai/) + +## Star History + +[](https://star-history.com/#derwenai/pytextrank&Date) + + + + +%package -n python3-pytextrank +Summary: Python implementation of TextRank as a spaCy pipeline extension, for graph-based natural language work plus related knowledge graph practices; used for for phrase extraction and lightweight extractive summarization of text documents. +Provides: python-pytextrank +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-pytextrank +# PyTextRank + +[](https://doi.org/10.5281/zenodo.4637885) + + + +[](http://mypy-lang.org/) +[](https://github.com/PyCQA/bandit) +[](https://lgtm.com/projects/g/DerwenAI/pytextrank/context:python) + + + + +**PyTextRank** is a Python implementation of *TextRank* as a +[spaCy pipeline extension](https://spacy.io/universe/project/spacy-pytextrank), +for graph-based natural language work -- and related knowledge graph practices. +This includes the family of +[*textgraph*](https://derwen.ai/docs/ptr/glossary/#textgraphs) algorithms: + + - *TextRank* by [[mihalcea04textrank]](https://derwen.ai/docs/ptr/biblio/#mihalcea04textrank) + - *PositionRank* by [[florescuc17]](https://derwen.ai/docs/ptr/biblio/#florescuc17) + - *Biased TextRank* by [[kazemi-etal-2020-biased]](https://derwen.ai/docs/ptr/biblio/#kazemi-etal-2020-biased) + - *TopicRank* by [[bougouin-etal-2013-topicrank]](https://derwen.ai/docs/ptr/biblio/#bougouin-etal-2013-topicrank) + +Popular use cases for this library include: + + - *phrase extraction*: get the top-ranked phrases from a text document + - low-cost *extractive summarization* of a text document + - help infer concepts from unstructured text into more structured representation + +See our full documentation at: <https://derwen.ai/docs/ptr/> + + +## Getting Started + +See the ["Getting Started"](https://derwen.ai/docs/ptr/start/) +section of the online documentation. + +To install from [PyPi](https://pypi.python.org/pypi/pytextrank): +``` +python3 -m pip install pytextrank +python3 -m spacy download en_core_web_sm +``` + +If you work directly from this Git repo, be sure to install the +dependencies as well: +``` +python3 -m pip install -r requirements.txt +``` + +Alternatively, to install dependencies using `conda`: +``` +conda env create -f environment.yml +conda activate pytextrank +``` + +Then to use the library with a simple use case: +```python +import spacy +import pytextrank + +# example text +text = "Compatibility of systems of linear constraints over the set of natural numbers. Criteria of compatibility of a system of linear Diophantine equations, strict inequations, and nonstrict inequations are considered. Upper bounds for components of a minimal set of solutions and algorithms of construction of minimal generating sets of solutions for all types of systems are given. These criteria and the corresponding algorithms for constructing a minimal supporting set of solutions can be used in solving all the considered types systems and systems of mixed types." + +# load a spaCy model, depending on language, scale, etc. +nlp = spacy.load("en_core_web_sm") + +# add PyTextRank to the spaCy pipeline +nlp.add_pipe("textrank") +doc = nlp(text) + +# examine the top-ranked phrases in the document +for phrase in doc._.phrases: + print(phrase.text) + print(phrase.rank, phrase.count) + print(phrase.chunks) +``` + +See the **tutorial notebooks** in the `examples` subdirectory for +sample code and patterns to use in integrating **PyTextTank** with +related libraries in Python: +<https://derwen.ai/docs/ptr/tutorial/> + + +<details> + <summary>Contributing Code</summary> + +We welcome people getting involved as contributors to this open source +project! + +For detailed instructions please see: +[CONTRIBUTING.md](https://github.com/DerwenAI/pytextrank/blob/main/CONTRIBUTING.md) +</details> + +<details> + <summary>Build Instructions</summary> + +<strong> +Note: unless you are contributing code and updates, +in most use cases won't need to build this package locally. +</strong> + +Instead, simply install from +[PyPi](https://pypi.python.org/pypi/pytextrank) +or use [Conda](https://docs.conda.io/). + +To set up the build environment locally, see the +["Build Instructions"](https://derwen.ai/docs/ptr/build/) +section of the online documentation. +</details> + +<details> + <summary>Semantic Versioning</summary> + +Generally speaking the major release number of <strong>PyTextRank</strong> +will track with the major release number of the associated <code>spaCy</code> +version. + +See: +[CHANGELOG.md](https://github.com/DerwenAI/pytextrank/blob/main/CHANGELOG.md) +</details> + +<img + alt="thanks noam!" + src="https://raw.githubusercontent.com/DerwenAI/pytextrank/main/docs/assets/noam.jpg" + width="231" +/> + + +## License and Copyright + +Source code for **PyTextRank** plus its logo, documentation, and examples +have an [MIT license](https://spdx.org/licenses/MIT.html) which is +succinct and simplifies use in commercial applications. + +All materials herein are Copyright © 2016-2022 Derwen, Inc. + + +## Attribution + +Please use the following BibTeX entry for citing **PyTextRank** if you +use it in your research or software: +```bibtex +@software{PyTextRank, + author = {Paco Nathan}, + title = {{PyTextRank, a Python implementation of TextRank for phrase extraction and summarization of text documents}}, + year = 2016, + publisher = {Derwen}, + doi = {10.5281/zenodo.4637885}, + url = {https://github.com/DerwenAI/pytextrank} +} +``` + +Citations are helpful for the continued development and maintenance of +this library. +For example, see our citations listed on +[Google Scholar](https://scholar.google.com/scholar?q=related:5tl6J4xZlCIJ:scholar.google.com/&scioq=&hl=en&as_sdt=0,5). + + +## Kudos + +Many thanks to our open source [sponsors](https://github.com/sponsors/ceteri); +and to our contributors: +[@ceteri](https://github.com/ceteri), +[@louisguitton](https://github.com/louisguitton), +[@Ankush-Chander](https://github.com/Ankush-Chander), +[@tomaarsen](https://github.com/tomaarsen), +[@CaptXiong](https://github.com/CaptXiong), +[@Lord-V15](https://github.com/Lord-V15), +[@anna-droid-beep](https://github.com/anna-droid-beep), +[@dvsrepo](https://github.com/dvsrepo), +[@clabornd](https://github.com/clabornd), +[@dayalstrub-cma](https://github.com/dayalstrub-cma), +[@kavorite](https://github.com/kavorite), +[@htmartin](https://github.com/htmartin), +[@williamsmj](https://github.com/williamsmj/), +[@mattkohl](https://github.com/mattkohl), +[@vanita5](https://github.com/vanita5), +[@HarshGrandeur](https://github.com/HarshGrandeur), +[@mnowotka](https://github.com/mnowotka), +[@kjam](https://github.com/kjam), +[@SaiThejeshwar](https://github.com/SaiThejeshwar), +[@laxatives](https://github.com/laxatives), +[@dimmu](https://github.com/dimmu), +[@JasonZhangzy1757](https://github.com/JasonZhangzy1757), +[@jake-aft](https://github.com/jake-aft), +[@junchen1992](https://github.com/junchen1992), +[@shyamcody](https://github.com/shyamcody), +[@chikubee](https://github.com/chikubee); +also to [@mihalcea](https://github.com/mihalcea) who leads outstanding NLP research work, +encouragement from the wonderful folks at Explosion who develop [spaCy](https://github.com/explosion/spaCy), +plus general support from [Derwen, Inc.](https://derwen.ai/) + +## Star History + +[](https://star-history.com/#derwenai/pytextrank&Date) + + + + +%package help +Summary: Development documents and examples for pytextrank +Provides: python3-pytextrank-doc +%description help +# PyTextRank + +[](https://doi.org/10.5281/zenodo.4637885) + + + +[](http://mypy-lang.org/) +[](https://github.com/PyCQA/bandit) +[](https://lgtm.com/projects/g/DerwenAI/pytextrank/context:python) + + + + +**PyTextRank** is a Python implementation of *TextRank* as a +[spaCy pipeline extension](https://spacy.io/universe/project/spacy-pytextrank), +for graph-based natural language work -- and related knowledge graph practices. +This includes the family of +[*textgraph*](https://derwen.ai/docs/ptr/glossary/#textgraphs) algorithms: + + - *TextRank* by [[mihalcea04textrank]](https://derwen.ai/docs/ptr/biblio/#mihalcea04textrank) + - *PositionRank* by [[florescuc17]](https://derwen.ai/docs/ptr/biblio/#florescuc17) + - *Biased TextRank* by [[kazemi-etal-2020-biased]](https://derwen.ai/docs/ptr/biblio/#kazemi-etal-2020-biased) + - *TopicRank* by [[bougouin-etal-2013-topicrank]](https://derwen.ai/docs/ptr/biblio/#bougouin-etal-2013-topicrank) + +Popular use cases for this library include: + + - *phrase extraction*: get the top-ranked phrases from a text document + - low-cost *extractive summarization* of a text document + - help infer concepts from unstructured text into more structured representation + +See our full documentation at: <https://derwen.ai/docs/ptr/> + + +## Getting Started + +See the ["Getting Started"](https://derwen.ai/docs/ptr/start/) +section of the online documentation. + +To install from [PyPi](https://pypi.python.org/pypi/pytextrank): +``` +python3 -m pip install pytextrank +python3 -m spacy download en_core_web_sm +``` + +If you work directly from this Git repo, be sure to install the +dependencies as well: +``` +python3 -m pip install -r requirements.txt +``` + +Alternatively, to install dependencies using `conda`: +``` +conda env create -f environment.yml +conda activate pytextrank +``` + +Then to use the library with a simple use case: +```python +import spacy +import pytextrank + +# example text +text = "Compatibility of systems of linear constraints over the set of natural numbers. Criteria of compatibility of a system of linear Diophantine equations, strict inequations, and nonstrict inequations are considered. Upper bounds for components of a minimal set of solutions and algorithms of construction of minimal generating sets of solutions for all types of systems are given. These criteria and the corresponding algorithms for constructing a minimal supporting set of solutions can be used in solving all the considered types systems and systems of mixed types." + +# load a spaCy model, depending on language, scale, etc. +nlp = spacy.load("en_core_web_sm") + +# add PyTextRank to the spaCy pipeline +nlp.add_pipe("textrank") +doc = nlp(text) + +# examine the top-ranked phrases in the document +for phrase in doc._.phrases: + print(phrase.text) + print(phrase.rank, phrase.count) + print(phrase.chunks) +``` + +See the **tutorial notebooks** in the `examples` subdirectory for +sample code and patterns to use in integrating **PyTextTank** with +related libraries in Python: +<https://derwen.ai/docs/ptr/tutorial/> + + +<details> + <summary>Contributing Code</summary> + +We welcome people getting involved as contributors to this open source +project! + +For detailed instructions please see: +[CONTRIBUTING.md](https://github.com/DerwenAI/pytextrank/blob/main/CONTRIBUTING.md) +</details> + +<details> + <summary>Build Instructions</summary> + +<strong> +Note: unless you are contributing code and updates, +in most use cases won't need to build this package locally. +</strong> + +Instead, simply install from +[PyPi](https://pypi.python.org/pypi/pytextrank) +or use [Conda](https://docs.conda.io/). + +To set up the build environment locally, see the +["Build Instructions"](https://derwen.ai/docs/ptr/build/) +section of the online documentation. +</details> + +<details> + <summary>Semantic Versioning</summary> + +Generally speaking the major release number of <strong>PyTextRank</strong> +will track with the major release number of the associated <code>spaCy</code> +version. + +See: +[CHANGELOG.md](https://github.com/DerwenAI/pytextrank/blob/main/CHANGELOG.md) +</details> + +<img + alt="thanks noam!" + src="https://raw.githubusercontent.com/DerwenAI/pytextrank/main/docs/assets/noam.jpg" + width="231" +/> + + +## License and Copyright + +Source code for **PyTextRank** plus its logo, documentation, and examples +have an [MIT license](https://spdx.org/licenses/MIT.html) which is +succinct and simplifies use in commercial applications. + +All materials herein are Copyright © 2016-2022 Derwen, Inc. + + +## Attribution + +Please use the following BibTeX entry for citing **PyTextRank** if you +use it in your research or software: +```bibtex +@software{PyTextRank, + author = {Paco Nathan}, + title = {{PyTextRank, a Python implementation of TextRank for phrase extraction and summarization of text documents}}, + year = 2016, + publisher = {Derwen}, + doi = {10.5281/zenodo.4637885}, + url = {https://github.com/DerwenAI/pytextrank} +} +``` + +Citations are helpful for the continued development and maintenance of +this library. +For example, see our citations listed on +[Google Scholar](https://scholar.google.com/scholar?q=related:5tl6J4xZlCIJ:scholar.google.com/&scioq=&hl=en&as_sdt=0,5). + + +## Kudos + +Many thanks to our open source [sponsors](https://github.com/sponsors/ceteri); +and to our contributors: +[@ceteri](https://github.com/ceteri), +[@louisguitton](https://github.com/louisguitton), +[@Ankush-Chander](https://github.com/Ankush-Chander), +[@tomaarsen](https://github.com/tomaarsen), +[@CaptXiong](https://github.com/CaptXiong), +[@Lord-V15](https://github.com/Lord-V15), +[@anna-droid-beep](https://github.com/anna-droid-beep), +[@dvsrepo](https://github.com/dvsrepo), +[@clabornd](https://github.com/clabornd), +[@dayalstrub-cma](https://github.com/dayalstrub-cma), +[@kavorite](https://github.com/kavorite), +[@htmartin](https://github.com/htmartin), +[@williamsmj](https://github.com/williamsmj/), +[@mattkohl](https://github.com/mattkohl), +[@vanita5](https://github.com/vanita5), +[@HarshGrandeur](https://github.com/HarshGrandeur), +[@mnowotka](https://github.com/mnowotka), +[@kjam](https://github.com/kjam), +[@SaiThejeshwar](https://github.com/SaiThejeshwar), +[@laxatives](https://github.com/laxatives), +[@dimmu](https://github.com/dimmu), +[@JasonZhangzy1757](https://github.com/JasonZhangzy1757), +[@jake-aft](https://github.com/jake-aft), +[@junchen1992](https://github.com/junchen1992), +[@shyamcody](https://github.com/shyamcody), +[@chikubee](https://github.com/chikubee); +also to [@mihalcea](https://github.com/mihalcea) who leads outstanding NLP research work, +encouragement from the wonderful folks at Explosion who develop [spaCy](https://github.com/explosion/spaCy), +plus general support from [Derwen, Inc.](https://derwen.ai/) + +## Star History + +[](https://star-history.com/#derwenai/pytextrank&Date) + + + + +%prep +%autosetup -n pytextrank-3.2.4 + +%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-pytextrank -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 3.2.4-1 +- Package Spec generated @@ -0,0 +1 @@ +9180a78c8492e5346540f709eb2d8ddc pytextrank-3.2.4.tar.gz |