automatic import of python-abc-analysisopeneuler20.03

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diff --git a/.gitignore b/.gitignore
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+/abc_analysis-0.1.21.tar.gz
diff --git a/python-abc-analysis.spec b/python-abc-analysis.spec
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+%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 <https://CRAN.R-project.org/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 <https://doi.org/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 <https://CRAN.R-project.org/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 <https://doi.org/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 <https://CRAN.R-project.org/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 <https://doi.org/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 <Python_Bot@openeuler.org> - 0.1.21-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..7d5da24
--- /dev/null
+++ b/sources
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+bfe444208df27cdce2463f9f42ffec37  abc_analysis-0.1.21.tar.gz