%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 [![PyPI version](https://badge.fury.io/py/tadasets.svg)](https://badge.fury.io/py/tadasets) [![Build Status](https://travis-ci.org/scikit-tda/tadasets.svg?branch=master)](https://travis-ci.org/scikit-tda/tadasets) [![Codecov](https://codecov.io/gh/scikit-tda/tadasets/branch/master/graph/badge.svg)](https://codecov.io/gh/scikit-tda/tadasets) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](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 [![PyPI version](https://badge.fury.io/py/tadasets.svg)](https://badge.fury.io/py/tadasets) [![Build Status](https://travis-ci.org/scikit-tda/tadasets.svg?branch=master)](https://travis-ci.org/scikit-tda/tadasets) [![Codecov](https://codecov.io/gh/scikit-tda/tadasets/branch/master/graph/badge.svg)](https://codecov.io/gh/scikit-tda/tadasets) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](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 [![PyPI version](https://badge.fury.io/py/tadasets.svg)](https://badge.fury.io/py/tadasets) [![Build Status](https://travis-ci.org/scikit-tda/tadasets.svg?branch=master)](https://travis-ci.org/scikit-tda/tadasets) [![Codecov](https://codecov.io/gh/scikit-tda/tadasets/branch/master/graph/badge.svg)](https://codecov.io/gh/scikit-tda/tadasets) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](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 - 0.0.4-1 - Package Spec generated