%global _empty_manifest_terminate_build 0 Name: python-abc-analysis Version: 0.1.21 Release: 1 Summary: ABC analysis with automated limit detection License: GNU General Public License v3 (GPLv3) URL: https://pypi.org/project/abc-analysis/ Source0: https://mirrors.nju.edu.cn/pypi/web/packages/41/cc/a4cfc3e4c6e0447567b3c8cd7371acbfb4bcfebf754c1df84a6514b167c1/abc_analysis-0.1.21.tar.gz BuildArch: noarch Requires: python3-pandas Requires: python3-numpy Requires: python3-scipy Requires: python3-matplotlib %description Performs and visualizes an ABC analysis with automated limit detection. This package is a Python implementation of the R package `ABCanalysis `_. The package is based on "Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data", PLoS One. Ultsch. A., Lotsch J. (2015) `doi:10.1371/journal.pone.0129767 `_. Basic Usage ^^^^^^^^^^^ from abc_analysis import abc_analysis, abc_plot # Perform an ABC analysis on a numeric vector (without plotting) dctAnalysis = abc_analysis([1, 15, 25, 17, 2, 3, 5, 6, 2, 3, 22]) # Perform an ABC analysis with plotting dctAnalysis = abc_analysis([1, 15, 25, 17, 2, 3, 5, 6, 2, 3, 22], True) # Plot saved results of an ABC analysis abc_plot(dctAnalysis) %package -n python3-abc-analysis Summary: ABC analysis with automated limit detection Provides: python-abc-analysis BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-abc-analysis Performs and visualizes an ABC analysis with automated limit detection. This package is a Python implementation of the R package `ABCanalysis `_. The package is based on "Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data", PLoS One. Ultsch. A., Lotsch J. (2015) `doi:10.1371/journal.pone.0129767 `_. Basic Usage ^^^^^^^^^^^ from abc_analysis import abc_analysis, abc_plot # Perform an ABC analysis on a numeric vector (without plotting) dctAnalysis = abc_analysis([1, 15, 25, 17, 2, 3, 5, 6, 2, 3, 22]) # Perform an ABC analysis with plotting dctAnalysis = abc_analysis([1, 15, 25, 17, 2, 3, 5, 6, 2, 3, 22], True) # Plot saved results of an ABC analysis abc_plot(dctAnalysis) %package help Summary: Development documents and examples for abc-analysis Provides: python3-abc-analysis-doc %description help Performs and visualizes an ABC analysis with automated limit detection. This package is a Python implementation of the R package `ABCanalysis `_. The package is based on "Computed ABC Analysis for rational Selection of most informative Variables in multivariate Data", PLoS One. Ultsch. A., Lotsch J. (2015) `doi:10.1371/journal.pone.0129767 `_. Basic Usage ^^^^^^^^^^^ from abc_analysis import abc_analysis, abc_plot # Perform an ABC analysis on a numeric vector (without plotting) dctAnalysis = abc_analysis([1, 15, 25, 17, 2, 3, 5, 6, 2, 3, 22]) # Perform an ABC analysis with plotting dctAnalysis = abc_analysis([1, 15, 25, 17, 2, 3, 5, 6, 2, 3, 22], True) # Plot saved results of an ABC analysis abc_plot(dctAnalysis) %prep %autosetup -n abc-analysis-0.1.21 %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-abc-analysis -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 0.1.21-1 - Package Spec generated