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@@ -0,0 +1 @@ +/tadasets-0.0.4.tar.gz diff --git a/python-tadasets.spec b/python-tadasets.spec new file mode 100644 index 0000000..013aa6a --- /dev/null +++ b/python-tadasets.spec @@ -0,0 +1,257 @@ +%global _empty_manifest_terminate_build 0 +Name: python-tadasets +Version: 0.0.4 +Release: 1 +Summary: Great data sets for Topological Data Analysis. +License: MIT +URL: https://tadasets.scikit-tda.org +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/85/31/2848ac75c41a504bc978aeabfa27a3a8737c074d4e51aaaf12aaea8eedff/tadasets-0.0.4.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-matplotlib +Requires: python3-sphinx +Requires: python3-nbsphinx +Requires: python3-sphinx-better-theme +Requires: python3-sphinxcontrib-fulltoc +Requires: python3-pytest +Requires: python3-scipy + +%description +[](https://badge.fury.io/py/tadasets) +[](https://travis-ci.org/scikit-tda/tadasets) +[](https://codecov.io/gh/scikit-tda/tadasets) +[](https://opensource.org/licenses/MIT) + + +# TaDAsets +Data sets apt for Topological Data Analysis. This project is a part of scikit-tda. + +## Motivation + +At SoCG 2018, there was discussion about the need for data sets for two main purposes +- Benchmarking new algorithms +- Demonstrating benefits of TDA + +## Data generation + +We provide constructors for some synthetic data sets that are popular in development and testing of TDA techniques. + +* Torus +* Klein Bottle +* Swiss Roll + +## Setup and Usage + +You can install from Pypi +``` +pip install tadasets +``` + +or from source + +``` +git clone https://github.com/scikit-tda/tadasets +cd tadasets +pip install -e . +``` + +Examples of usage is + +``` +import tadasets +data = tadasets.sphere(n=1000, r=10) +tadasets.plot3d(data) +``` + +or + +``` +import tadasets +data = tadasets.swiss_roll(n=1000, r=10) +tadasets.plot3d(data) +``` + +## Contributions + +This package is in the very early stages of development. As I think of shapes and data sets, I add them. If you have ideas, please do suggest them in an issue and submit a pull request! All contributions are welcome. + + + + +%package -n python3-tadasets +Summary: Great data sets for Topological Data Analysis. +Provides: python-tadasets +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-tadasets +[](https://badge.fury.io/py/tadasets) +[](https://travis-ci.org/scikit-tda/tadasets) +[](https://codecov.io/gh/scikit-tda/tadasets) +[](https://opensource.org/licenses/MIT) + + +# TaDAsets +Data sets apt for Topological Data Analysis. This project is a part of scikit-tda. + +## Motivation + +At SoCG 2018, there was discussion about the need for data sets for two main purposes +- Benchmarking new algorithms +- Demonstrating benefits of TDA + +## Data generation + +We provide constructors for some synthetic data sets that are popular in development and testing of TDA techniques. + +* Torus +* Klein Bottle +* Swiss Roll + +## Setup and Usage + +You can install from Pypi +``` +pip install tadasets +``` + +or from source + +``` +git clone https://github.com/scikit-tda/tadasets +cd tadasets +pip install -e . +``` + +Examples of usage is + +``` +import tadasets +data = tadasets.sphere(n=1000, r=10) +tadasets.plot3d(data) +``` + +or + +``` +import tadasets +data = tadasets.swiss_roll(n=1000, r=10) +tadasets.plot3d(data) +``` + +## Contributions + +This package is in the very early stages of development. As I think of shapes and data sets, I add them. If you have ideas, please do suggest them in an issue and submit a pull request! All contributions are welcome. + + + + +%package help +Summary: Development documents and examples for tadasets +Provides: python3-tadasets-doc +%description help +[](https://badge.fury.io/py/tadasets) +[](https://travis-ci.org/scikit-tda/tadasets) +[](https://codecov.io/gh/scikit-tda/tadasets) +[](https://opensource.org/licenses/MIT) + + +# TaDAsets +Data sets apt for Topological Data Analysis. This project is a part of scikit-tda. + +## Motivation + +At SoCG 2018, there was discussion about the need for data sets for two main purposes +- Benchmarking new algorithms +- Demonstrating benefits of TDA + +## Data generation + +We provide constructors for some synthetic data sets that are popular in development and testing of TDA techniques. + +* Torus +* Klein Bottle +* Swiss Roll + +## Setup and Usage + +You can install from Pypi +``` +pip install tadasets +``` + +or from source + +``` +git clone https://github.com/scikit-tda/tadasets +cd tadasets +pip install -e . +``` + +Examples of usage is + +``` +import tadasets +data = tadasets.sphere(n=1000, r=10) +tadasets.plot3d(data) +``` + +or + +``` +import tadasets +data = tadasets.swiss_roll(n=1000, r=10) +tadasets.plot3d(data) +``` + +## Contributions + +This package is in the very early stages of development. As I think of shapes and data sets, I add them. If you have ideas, please do suggest them in an issue and submit a pull request! All contributions are welcome. + + + + +%prep +%autosetup -n tadasets-0.0.4 + +%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-tadasets -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.0.4-1 +- Package Spec generated @@ -0,0 +1 @@ +1ab93de2fe9dbbedc188432d8356f7e6 tadasets-0.0.4.tar.gz |