%global _empty_manifest_terminate_build 0 Name: python-persim Version: 0.3.1 Release: 1 Summary: Distances and representations of persistence diagrams License: MIT URL: https://persim.scikit-tda.org Source0: https://mirrors.nju.edu.cn/pypi/web/packages/e0/a6/4bf9dc381ccec47a8fe95f7735265c8ec94afec3cd1bd6092e5b86782fc2/persim-0.3.1.tar.gz BuildArch: noarch Requires: python3-scikit-learn Requires: python3-numpy Requires: python3-matplotlib Requires: python3-scipy Requires: python3-hopcroftkarp Requires: python3-deprecated Requires: python3-joblib Requires: python3-sktda-docs-config Requires: python3-pytest Requires: python3-pytest-cov %description [![PyPI version](https://badge.fury.io/py/persim.svg)](https://badge.fury.io/py/persim) [![Downloads](https://pypip.in/download/persim/badge.svg)](https://pypi.python.org/pypi/persim/) [![Conda Version](https://img.shields.io/conda/vn/conda-forge/persim.svg)](https://anaconda.org/conda-forge/persim) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/persim.svg)](https://anaconda.org/conda-forge/persim) [![Build Status](https://travis-ci.org/scikit-tda/persim.svg?branch=master)](https://travis-ci.org/scikit-tda/persim) [![codecov](https://codecov.io/gh/scikit-tda/persim/branch/master/graph/badge.svg)](https://codecov.io/gh/scikit-tda/persim) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) Persim is a Python package for many tools used in analyzing Persistence Diagrams. It currently houses implementations of - Persistence Images - Persistence Landscapes - Bottleneck distance - Modified Gromov–Hausdorff distance - Sliced Wasserstein Kernel - Heat Kernel - Diagram plotting ## Setup The latest version of persim can be found on Pypi and installed with pip: ``` pip install persim ``` ## Documentation and Usage Documentation about the library, it's API, and examples of how to use it can be found at [persim.scikit-tda.org](http://persim.scikit-tda.org). ## Contributions We welcome contributions of all shapes and sizes. There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from an implementation of your favorite distance, notebooks, 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-persim Summary: Distances and representations of persistence diagrams Provides: python-persim BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-persim [![PyPI version](https://badge.fury.io/py/persim.svg)](https://badge.fury.io/py/persim) [![Downloads](https://pypip.in/download/persim/badge.svg)](https://pypi.python.org/pypi/persim/) [![Conda Version](https://img.shields.io/conda/vn/conda-forge/persim.svg)](https://anaconda.org/conda-forge/persim) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/persim.svg)](https://anaconda.org/conda-forge/persim) [![Build Status](https://travis-ci.org/scikit-tda/persim.svg?branch=master)](https://travis-ci.org/scikit-tda/persim) [![codecov](https://codecov.io/gh/scikit-tda/persim/branch/master/graph/badge.svg)](https://codecov.io/gh/scikit-tda/persim) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) Persim is a Python package for many tools used in analyzing Persistence Diagrams. It currently houses implementations of - Persistence Images - Persistence Landscapes - Bottleneck distance - Modified Gromov–Hausdorff distance - Sliced Wasserstein Kernel - Heat Kernel - Diagram plotting ## Setup The latest version of persim can be found on Pypi and installed with pip: ``` pip install persim ``` ## Documentation and Usage Documentation about the library, it's API, and examples of how to use it can be found at [persim.scikit-tda.org](http://persim.scikit-tda.org). ## Contributions We welcome contributions of all shapes and sizes. There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from an implementation of your favorite distance, notebooks, 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 persim Provides: python3-persim-doc %description help [![PyPI version](https://badge.fury.io/py/persim.svg)](https://badge.fury.io/py/persim) [![Downloads](https://pypip.in/download/persim/badge.svg)](https://pypi.python.org/pypi/persim/) [![Conda Version](https://img.shields.io/conda/vn/conda-forge/persim.svg)](https://anaconda.org/conda-forge/persim) [![Conda Downloads](https://img.shields.io/conda/dn/conda-forge/persim.svg)](https://anaconda.org/conda-forge/persim) [![Build Status](https://travis-ci.org/scikit-tda/persim.svg?branch=master)](https://travis-ci.org/scikit-tda/persim) [![codecov](https://codecov.io/gh/scikit-tda/persim/branch/master/graph/badge.svg)](https://codecov.io/gh/scikit-tda/persim) [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) Persim is a Python package for many tools used in analyzing Persistence Diagrams. It currently houses implementations of - Persistence Images - Persistence Landscapes - Bottleneck distance - Modified Gromov–Hausdorff distance - Sliced Wasserstein Kernel - Heat Kernel - Diagram plotting ## Setup The latest version of persim can be found on Pypi and installed with pip: ``` pip install persim ``` ## Documentation and Usage Documentation about the library, it's API, and examples of how to use it can be found at [persim.scikit-tda.org](http://persim.scikit-tda.org). ## Contributions We welcome contributions of all shapes and sizes. There are lots of opportunities for potential projects, so please get in touch if you would like to help out. Everything from an implementation of your favorite distance, notebooks, 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 persim-0.3.1 %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-persim -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 0.3.1-1 - Package Spec generated