automatic import of python-bigmclopeneuler20.03

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diff --git a/.gitignore b/.gitignore
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+/bigmcl-0.2b2.tar.gz
diff --git a/python-bigmcl.spec b/python-bigmcl.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-bigmcl
+Version:	0.2b2
+Release:	1
+Summary:	Large scale Markov clustering (MCL) via subgraph extraction
+License:	BSD License
+URL:		https://gitlab.com/xonq/bigmcl
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/74/5b/17291f8a5b15f9d0b4b531174adee9a2d379a8ec7d23e8ec4f35327c8f1c/bigmcl-0.2b2.tar.gz
+BuildArch:	noarch
+
+
+%description
+# bigmcl
+## Large scale Markov clustering (MCL) via subgraph extraction    
+
+`bigmcl` will isolate disconnected subgraphs from a large graph file and execute
+MCL on the subgraphs. bigmcl enables MCL on large, highly disconnected graphs, 
+such as those used in orthogroup inference. Not recommended for graphs that are 
+manageable with typical MCL.
+
+Important to note that the inflation parameter is affected by this approach -
+I have noted clusters are more granular if anything. In the future, I plan on
+implementing a systematic approach option for identifying ideal inflations for
+each subgraph.
+
+Please cite this git repository and MCL when this software contributes to your analysis.
+
+
+## DISCLAIMER
+`bigmcl` is currently in a beta state, and while I appreciate bringing issues to
+my attention, I am currently focused on getting things working well for my own
+research, so I cannot guarantee timely issue resolution. My hope is `bigmcl` will
+be in a longterm stable state by publication 2022.
+
+
+<br />
+
+## INSTALL
+
+```
+pip install bigmcl
+```
+
+Clone `mcl` [from here](https://github.com/micans/mcl), compile, and add to your path.
+
+<br />
+
+## USE
+
+Input and go:
+```
+bigmcl -i <GRAPH.imx> -I 1.5
+```
+
+More elaborate options:
+```
+usage: bigmcl.py [-h] -i INPUT -I INFLATION [-s] [-r ROW_FILE] [-m] [-o OUTPUT] [-c CORES]
+                 [-v]
+
+Isolates disconnected graphs and runs MCL on the subgraphs. Input data must be numerical.
+
+optional arguments:
+  -h, --help            show this help message and exit
+  -i INPUT, --input INPUT
+                        MCL graph file in imx format
+  -I INFLATION, --inflation INFLATION
+  -s, --symmetric       Matrix is symmetric (throughput increase)
+  -r ROW_FILE, --row_file ROW_FILE
+                        Continue from finished row.txt
+  -m, --mcl_format      Output clusters in MCL format
+  -o OUTPUT, --output OUTPUT
+                        Alternative output directory
+  -c CORES, --cores CORES
+  -v, --verbose
+```
+
+
+
+%package -n python3-bigmcl
+Summary:	Large scale Markov clustering (MCL) via subgraph extraction
+Provides:	python-bigmcl
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-bigmcl
+# bigmcl
+## Large scale Markov clustering (MCL) via subgraph extraction    
+
+`bigmcl` will isolate disconnected subgraphs from a large graph file and execute
+MCL on the subgraphs. bigmcl enables MCL on large, highly disconnected graphs, 
+such as those used in orthogroup inference. Not recommended for graphs that are 
+manageable with typical MCL.
+
+Important to note that the inflation parameter is affected by this approach -
+I have noted clusters are more granular if anything. In the future, I plan on
+implementing a systematic approach option for identifying ideal inflations for
+each subgraph.
+
+Please cite this git repository and MCL when this software contributes to your analysis.
+
+
+## DISCLAIMER
+`bigmcl` is currently in a beta state, and while I appreciate bringing issues to
+my attention, I am currently focused on getting things working well for my own
+research, so I cannot guarantee timely issue resolution. My hope is `bigmcl` will
+be in a longterm stable state by publication 2022.
+
+
+<br />
+
+## INSTALL
+
+```
+pip install bigmcl
+```
+
+Clone `mcl` [from here](https://github.com/micans/mcl), compile, and add to your path.
+
+<br />
+
+## USE
+
+Input and go:
+```
+bigmcl -i <GRAPH.imx> -I 1.5
+```
+
+More elaborate options:
+```
+usage: bigmcl.py [-h] -i INPUT -I INFLATION [-s] [-r ROW_FILE] [-m] [-o OUTPUT] [-c CORES]
+                 [-v]
+
+Isolates disconnected graphs and runs MCL on the subgraphs. Input data must be numerical.
+
+optional arguments:
+  -h, --help            show this help message and exit
+  -i INPUT, --input INPUT
+                        MCL graph file in imx format
+  -I INFLATION, --inflation INFLATION
+  -s, --symmetric       Matrix is symmetric (throughput increase)
+  -r ROW_FILE, --row_file ROW_FILE
+                        Continue from finished row.txt
+  -m, --mcl_format      Output clusters in MCL format
+  -o OUTPUT, --output OUTPUT
+                        Alternative output directory
+  -c CORES, --cores CORES
+  -v, --verbose
+```
+
+
+
+%package help
+Summary:	Development documents and examples for bigmcl
+Provides:	python3-bigmcl-doc
+%description help
+# bigmcl
+## Large scale Markov clustering (MCL) via subgraph extraction    
+
+`bigmcl` will isolate disconnected subgraphs from a large graph file and execute
+MCL on the subgraphs. bigmcl enables MCL on large, highly disconnected graphs, 
+such as those used in orthogroup inference. Not recommended for graphs that are 
+manageable with typical MCL.
+
+Important to note that the inflation parameter is affected by this approach -
+I have noted clusters are more granular if anything. In the future, I plan on
+implementing a systematic approach option for identifying ideal inflations for
+each subgraph.
+
+Please cite this git repository and MCL when this software contributes to your analysis.
+
+
+## DISCLAIMER
+`bigmcl` is currently in a beta state, and while I appreciate bringing issues to
+my attention, I am currently focused on getting things working well for my own
+research, so I cannot guarantee timely issue resolution. My hope is `bigmcl` will
+be in a longterm stable state by publication 2022.
+
+
+<br />
+
+## INSTALL
+
+```
+pip install bigmcl
+```
+
+Clone `mcl` [from here](https://github.com/micans/mcl), compile, and add to your path.
+
+<br />
+
+## USE
+
+Input and go:
+```
+bigmcl -i <GRAPH.imx> -I 1.5
+```
+
+More elaborate options:
+```
+usage: bigmcl.py [-h] -i INPUT -I INFLATION [-s] [-r ROW_FILE] [-m] [-o OUTPUT] [-c CORES]
+                 [-v]
+
+Isolates disconnected graphs and runs MCL on the subgraphs. Input data must be numerical.
+
+optional arguments:
+  -h, --help            show this help message and exit
+  -i INPUT, --input INPUT
+                        MCL graph file in imx format
+  -I INFLATION, --inflation INFLATION
+  -s, --symmetric       Matrix is symmetric (throughput increase)
+  -r ROW_FILE, --row_file ROW_FILE
+                        Continue from finished row.txt
+  -m, --mcl_format      Output clusters in MCL format
+  -o OUTPUT, --output OUTPUT
+                        Alternative output directory
+  -c CORES, --cores CORES
+  -v, --verbose
+```
+
+
+
+%prep
+%autosetup -n bigmcl-0.2b2
+
+%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-bigmcl -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2b2-1
+- Package Spec generated
diff --git a/sources b/sources
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@@ -0,0 +1 @@
+17ef30e38a473f4e433af60167780e48  bigmcl-0.2b2.tar.gz