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|
%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
[](https://zenodo.org/badge/latestdoi/129452930)
[](https://badge.fury.io/py/scikit-tda)
[](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
[](https://zenodo.org/badge/latestdoi/129452930)
[](https://badge.fury.io/py/scikit-tda)
[](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
[](https://zenodo.org/badge/latestdoi/129452930)
[](https://badge.fury.io/py/scikit-tda)
[](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 <Python_Bot@openeuler.org> - 1.0.0-1
- Package Spec generated
|
