%global _empty_manifest_terminate_build 0 Name: python-scikit-tda Version: 1.0.0 Release: 1 Summary: Topological Data Analysis for humans License: MIT URL: https://github.com/scikit-tda/scikit-tda Source0: https://mirrors.nju.edu.cn/pypi/web/packages/6b/6a/5cac78161b4e9dbfd41c77b4d86551fe53be2d3b489b28c768a134c4df1c/scikit-tda-1.0.0.tar.gz BuildArch: noarch Requires: python3-numpy Requires: python3-scipy Requires: python3-scikit-learn Requires: python3-matplotlib Requires: python3-Cython Requires: python3-ripser Requires: python3-persim Requires: python3-pillow Requires: python3-kmapper Requires: python3-tadasets Requires: python3-sktda-docs-config Requires: python3-pyyaml Requires: python3-pytest %description [![DOI](https://zenodo.org/badge/129452930.svg)](https://zenodo.org/badge/latestdoi/129452930) [![Pypi](https://badge.fury.io/py/scikit-tda.svg)](https://badge.fury.io/py/scikit-tda) [![Downloads](https://pypip.in/download/scikit-tda/badge.svg)](https://pypi.python.org/scikit-tda/) Scikit-TDA is a home for Topological Data Analysis Python libraries intended for non-topologists. This project aims to provide a curated library of TDA Python tools that are widely usable and easily approachable. It is structured so that each package can stand alone or be used as part of the ``scikit-tda`` bundle. # Documentation For complete documentation please checkout [scikit-tda.org](https://scikit-tda.org). # Contact If you would like to contribute, please reach out to us on [github](https://github.com/scikit-tda), [twitter](https://twitter.com/scikit_tda) or on [Slack](scikit-tda.slack.com). # Setup To install all these libraries ``` pip install scikit-tda ``` # Citations If you would like to cite Scikit-TDA, please use the following citation/bibtex > Saul, Nathaniel and Tralie, Chris. (2019). Scikit-TDA: Topological Data Analysis for Python. Zenodo. http://doi.org/10.5281/zenodo.2533369 ``` @misc{scikittda2019, author = {Nathaniel Saul, Chris Tralie}, title = {Scikit-TDA: Topological Data Analysis for Python}, year = 2019, doi = {10.5281/zenodo.2533369}, url = {https://doi.org/10.5281/zenodo.2533369} } ``` # License This package is licensed with the MIT license. # Contributing Contributions are more than welcome! There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from code to notebooks to examples and documentation are all equally valuable so please don't feel you can't contribute. To contribute please fork the project make your changes and submit a pull request. We will do our best to work through any issues with you and get your code merged into the main branch. %package -n python3-scikit-tda Summary: Topological Data Analysis for humans Provides: python-scikit-tda BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-scikit-tda [![DOI](https://zenodo.org/badge/129452930.svg)](https://zenodo.org/badge/latestdoi/129452930) [![Pypi](https://badge.fury.io/py/scikit-tda.svg)](https://badge.fury.io/py/scikit-tda) [![Downloads](https://pypip.in/download/scikit-tda/badge.svg)](https://pypi.python.org/scikit-tda/) Scikit-TDA is a home for Topological Data Analysis Python libraries intended for non-topologists. This project aims to provide a curated library of TDA Python tools that are widely usable and easily approachable. It is structured so that each package can stand alone or be used as part of the ``scikit-tda`` bundle. # Documentation For complete documentation please checkout [scikit-tda.org](https://scikit-tda.org). # Contact If you would like to contribute, please reach out to us on [github](https://github.com/scikit-tda), [twitter](https://twitter.com/scikit_tda) or on [Slack](scikit-tda.slack.com). # Setup To install all these libraries ``` pip install scikit-tda ``` # Citations If you would like to cite Scikit-TDA, please use the following citation/bibtex > Saul, Nathaniel and Tralie, Chris. (2019). Scikit-TDA: Topological Data Analysis for Python. Zenodo. http://doi.org/10.5281/zenodo.2533369 ``` @misc{scikittda2019, author = {Nathaniel Saul, Chris Tralie}, title = {Scikit-TDA: Topological Data Analysis for Python}, year = 2019, doi = {10.5281/zenodo.2533369}, url = {https://doi.org/10.5281/zenodo.2533369} } ``` # License This package is licensed with the MIT license. # Contributing Contributions are more than welcome! There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from code to notebooks to examples and documentation are all equally valuable so please don't feel you can't contribute. To contribute please fork the project make your changes and submit a pull request. We will do our best to work through any issues with you and get your code merged into the main branch. %package help Summary: Development documents and examples for scikit-tda Provides: python3-scikit-tda-doc %description help [![DOI](https://zenodo.org/badge/129452930.svg)](https://zenodo.org/badge/latestdoi/129452930) [![Pypi](https://badge.fury.io/py/scikit-tda.svg)](https://badge.fury.io/py/scikit-tda) [![Downloads](https://pypip.in/download/scikit-tda/badge.svg)](https://pypi.python.org/scikit-tda/) Scikit-TDA is a home for Topological Data Analysis Python libraries intended for non-topologists. This project aims to provide a curated library of TDA Python tools that are widely usable and easily approachable. It is structured so that each package can stand alone or be used as part of the ``scikit-tda`` bundle. # Documentation For complete documentation please checkout [scikit-tda.org](https://scikit-tda.org). # Contact If you would like to contribute, please reach out to us on [github](https://github.com/scikit-tda), [twitter](https://twitter.com/scikit_tda) or on [Slack](scikit-tda.slack.com). # Setup To install all these libraries ``` pip install scikit-tda ``` # Citations If you would like to cite Scikit-TDA, please use the following citation/bibtex > Saul, Nathaniel and Tralie, Chris. (2019). Scikit-TDA: Topological Data Analysis for Python. Zenodo. http://doi.org/10.5281/zenodo.2533369 ``` @misc{scikittda2019, author = {Nathaniel Saul, Chris Tralie}, title = {Scikit-TDA: Topological Data Analysis for Python}, year = 2019, doi = {10.5281/zenodo.2533369}, url = {https://doi.org/10.5281/zenodo.2533369} } ``` # License This package is licensed with the MIT license. # Contributing Contributions are more than welcome! There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from code to notebooks to examples and documentation are all equally valuable so please don't feel you can't contribute. To contribute please fork the project make your changes and submit a pull request. We will do our best to work through any issues with you and get your code merged into the main branch. %prep %autosetup -n scikit-tda-1.0.0 %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-scikit-tda -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 1.0.0-1 - Package Spec generated