automatic import of python-aslpaw

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diff --git a/.gitignore b/.gitignore
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+/ASLPAw-2.2.0.tar.gz
diff --git a/python-aslpaw.spec b/python-aslpaw.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-ASLPAw
+Version:	2.2.0
+Release:	1
+Summary:	Adaptive overlapping community discovery algorithm package in python.
+License:	GNU Affero General Public License v3
+URL:		https://github.com/fsssosei/ASLPAw
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/aa/0b/83d1289c05d7c299d556c527d9ab7455db1a016a84510063bc5b49329c38/ASLPAw-2.2.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-networkx
+Requires:	python3-multivalued-dict
+Requires:	python3-shuffle-graph
+Requires:	python3-count-dict
+Requires:	python3-similarity-index-of-label-graph
+Requires:	python3-scikit-learn
+
+%description
+# ASLPAw
+
+![PyPI](https://img.shields.io/pypi/v/ASLPAw?color=red)
+![PyPI - Status](https://img.shields.io/pypi/status/ASLPAw)
+![GitHub Release Date](https://img.shields.io/github/release-date/fsssosei/ASLPAw)
+[![Build Status](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/badges/build.png?b=master)](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/build-status/master)
+[![Code Intelligence Status](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/badges/code-intelligence.svg?b=master)](https://scrutinizer-ci.com/code-intelligence)
+[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/fsssosei/ASLPAw.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/fsssosei/ASLPAw/context:python)
+[![Codacy Badge](https://api.codacy.com/project/badge/Grade/e85d538645c44b9e87bf16448a9ac6f1)](https://www.codacy.com/manual/fsssosei/ASLPAw?utm_source=github.com&utm_medium=referral&utm_content=fsssosei/ASLPAw&utm_campaign=Badge_Grade)
+[![Scrutinizer Code Quality](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/badges/quality-score.png?b=master)](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/?branch=master)
+![PyPI - Downloads](https://img.shields.io/pypi/dw/ASLPAw?label=PyPI%20-%20Downloads)
+![PyPI - Python Version](https://img.shields.io/pypi/pyversions/ASLPAw)
+![PyPI - License](https://img.shields.io/pypi/l/ASLPAw)
+
+*Adaptive overlapping community discovery algorithm package in python.*
+
+ASLPAw can be used for disjoint and overlapping community detection and works on weighted/unweighted and directed/undirected networks.
+ASLPAw is adaptive with virtually no configuration parameters.
+
+This is an easy-to-understand reference implementation that is not optimized for efficiency, but is robust. The underlying NetworkX package is inherently inefficient and unsuitable for use on large networks.
+The next release will extend support for multiple productivity packages, such as SNAP, graph-tool, and igraph.
+
+## Installation
+
+Installation can be done through pip. You must have python version >= 3.8
+
+	pip install ASLPAw
+
+## Usage
+
+The statement to import the package:
+
+	from ASLPAw_package import ASLPAw
+
+Example:
+
+	>>> from networkx.generators.community import relaxed_caveman_graph
+
+	>>> #Set seed to make the results repeatable.
+	>>> data_graph = relaxed_caveman_graph(3, 6, 0.22, seed = 65535)
+	>>> ASLPAw(data_graph, seed=65535).adj
+	AdjacencyView({0: {2: {'weight': 0.9}}, 2: {2: {'weight': 0.9333333333333333}}, 1: {6: {'weight': 0.6}}, 6: {6: {'weight': 1.0}}, 3: {2: {'weight': 0.6}}, 4: {2: {'weight': 0.8666666666666667}}, 5: {2: {'weight': 0.9333333333333333}}, 7: {6: {'weight': 1.0}}, 8: {6: {'weight': 0.9666666666666667}}, 9: {6: {'weight': 0.9333333333333333}}, 10: {6: {'weight': 0.8666666666666667}}, 11: {6: {'weight': 0.9666666666666667}}, 12: {12: {'weight': 1.0333333333333334}}, 13: {12: {'weight': 0.9666666666666667}}, 14: {12: {'weight': 1.0}}, 15: {12: {'weight': 1.0}}, 16: {12: {'weight': 1.0}}, 17: {12: {'weight': 1.0}}})
+
+	>>> data_graph = relaxed_caveman_graph(3, 6, 0.39, seed = 65535)
+	>>> ASLPAw(data_graph, seed=65535).adj
+	AdjacencyView({0: {1: {'weight': 0.9333333333333333}}, 1: {1: {'weight': 1.0}}, 2: {1: {'weight': 1.0}}, 3: {1: {'weight': 0.9666666666666667}}, 4: {1: {'weight': 1.0}}, 5: {1: {'weight': 0.9666666666666667}}, 6: {}, 7: {7: {'weight': 0.7666666666666667}}, 8: {}, 9: {13: {'weight': 0.4}, 6: {'weight': 0.26666666666666666}}, 13: {13: {'weight': 0.6333333333333333}}, 10: {1: {'weight': 0.5666666666666667}}, 11: {7: {'weight': 0.6333333333333333}}, 12: {12: {'weight': 0.4666666666666667}, 13: {'weight': 0.4}}, 14: {13: {'weight': 0.5666666666666667}}, 15: {13: {'weight': 0.5333333333333333}, 12: {'weight': 0.3333333333333333}}, 16: {13: {'weight': 0.43333333333333335}}, 17: {13: {'weight': 0.43333333333333335}, 12: {'weight': 0.4}}})
+
+
+
+%package -n python3-ASLPAw
+Summary:	Adaptive overlapping community discovery algorithm package in python.
+Provides:	python-ASLPAw
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-ASLPAw
+# ASLPAw
+
+![PyPI](https://img.shields.io/pypi/v/ASLPAw?color=red)
+![PyPI - Status](https://img.shields.io/pypi/status/ASLPAw)
+![GitHub Release Date](https://img.shields.io/github/release-date/fsssosei/ASLPAw)
+[![Build Status](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/badges/build.png?b=master)](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/build-status/master)
+[![Code Intelligence Status](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/badges/code-intelligence.svg?b=master)](https://scrutinizer-ci.com/code-intelligence)
+[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/fsssosei/ASLPAw.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/fsssosei/ASLPAw/context:python)
+[![Codacy Badge](https://api.codacy.com/project/badge/Grade/e85d538645c44b9e87bf16448a9ac6f1)](https://www.codacy.com/manual/fsssosei/ASLPAw?utm_source=github.com&utm_medium=referral&utm_content=fsssosei/ASLPAw&utm_campaign=Badge_Grade)
+[![Scrutinizer Code Quality](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/badges/quality-score.png?b=master)](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/?branch=master)
+![PyPI - Downloads](https://img.shields.io/pypi/dw/ASLPAw?label=PyPI%20-%20Downloads)
+![PyPI - Python Version](https://img.shields.io/pypi/pyversions/ASLPAw)
+![PyPI - License](https://img.shields.io/pypi/l/ASLPAw)
+
+*Adaptive overlapping community discovery algorithm package in python.*
+
+ASLPAw can be used for disjoint and overlapping community detection and works on weighted/unweighted and directed/undirected networks.
+ASLPAw is adaptive with virtually no configuration parameters.
+
+This is an easy-to-understand reference implementation that is not optimized for efficiency, but is robust. The underlying NetworkX package is inherently inefficient and unsuitable for use on large networks.
+The next release will extend support for multiple productivity packages, such as SNAP, graph-tool, and igraph.
+
+## Installation
+
+Installation can be done through pip. You must have python version >= 3.8
+
+	pip install ASLPAw
+
+## Usage
+
+The statement to import the package:
+
+	from ASLPAw_package import ASLPAw
+
+Example:
+
+	>>> from networkx.generators.community import relaxed_caveman_graph
+
+	>>> #Set seed to make the results repeatable.
+	>>> data_graph = relaxed_caveman_graph(3, 6, 0.22, seed = 65535)
+	>>> ASLPAw(data_graph, seed=65535).adj
+	AdjacencyView({0: {2: {'weight': 0.9}}, 2: {2: {'weight': 0.9333333333333333}}, 1: {6: {'weight': 0.6}}, 6: {6: {'weight': 1.0}}, 3: {2: {'weight': 0.6}}, 4: {2: {'weight': 0.8666666666666667}}, 5: {2: {'weight': 0.9333333333333333}}, 7: {6: {'weight': 1.0}}, 8: {6: {'weight': 0.9666666666666667}}, 9: {6: {'weight': 0.9333333333333333}}, 10: {6: {'weight': 0.8666666666666667}}, 11: {6: {'weight': 0.9666666666666667}}, 12: {12: {'weight': 1.0333333333333334}}, 13: {12: {'weight': 0.9666666666666667}}, 14: {12: {'weight': 1.0}}, 15: {12: {'weight': 1.0}}, 16: {12: {'weight': 1.0}}, 17: {12: {'weight': 1.0}}})
+
+	>>> data_graph = relaxed_caveman_graph(3, 6, 0.39, seed = 65535)
+	>>> ASLPAw(data_graph, seed=65535).adj
+	AdjacencyView({0: {1: {'weight': 0.9333333333333333}}, 1: {1: {'weight': 1.0}}, 2: {1: {'weight': 1.0}}, 3: {1: {'weight': 0.9666666666666667}}, 4: {1: {'weight': 1.0}}, 5: {1: {'weight': 0.9666666666666667}}, 6: {}, 7: {7: {'weight': 0.7666666666666667}}, 8: {}, 9: {13: {'weight': 0.4}, 6: {'weight': 0.26666666666666666}}, 13: {13: {'weight': 0.6333333333333333}}, 10: {1: {'weight': 0.5666666666666667}}, 11: {7: {'weight': 0.6333333333333333}}, 12: {12: {'weight': 0.4666666666666667}, 13: {'weight': 0.4}}, 14: {13: {'weight': 0.5666666666666667}}, 15: {13: {'weight': 0.5333333333333333}, 12: {'weight': 0.3333333333333333}}, 16: {13: {'weight': 0.43333333333333335}}, 17: {13: {'weight': 0.43333333333333335}, 12: {'weight': 0.4}}})
+
+
+
+%package help
+Summary:	Development documents and examples for ASLPAw
+Provides:	python3-ASLPAw-doc
+%description help
+# ASLPAw
+
+![PyPI](https://img.shields.io/pypi/v/ASLPAw?color=red)
+![PyPI - Status](https://img.shields.io/pypi/status/ASLPAw)
+![GitHub Release Date](https://img.shields.io/github/release-date/fsssosei/ASLPAw)
+[![Build Status](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/badges/build.png?b=master)](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/build-status/master)
+[![Code Intelligence Status](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/badges/code-intelligence.svg?b=master)](https://scrutinizer-ci.com/code-intelligence)
+[![Language grade: Python](https://img.shields.io/lgtm/grade/python/g/fsssosei/ASLPAw.svg?logo=lgtm&logoWidth=18)](https://lgtm.com/projects/g/fsssosei/ASLPAw/context:python)
+[![Codacy Badge](https://api.codacy.com/project/badge/Grade/e85d538645c44b9e87bf16448a9ac6f1)](https://www.codacy.com/manual/fsssosei/ASLPAw?utm_source=github.com&utm_medium=referral&utm_content=fsssosei/ASLPAw&utm_campaign=Badge_Grade)
+[![Scrutinizer Code Quality](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/badges/quality-score.png?b=master)](https://scrutinizer-ci.com/g/fsssosei/ASLPAw/?branch=master)
+![PyPI - Downloads](https://img.shields.io/pypi/dw/ASLPAw?label=PyPI%20-%20Downloads)
+![PyPI - Python Version](https://img.shields.io/pypi/pyversions/ASLPAw)
+![PyPI - License](https://img.shields.io/pypi/l/ASLPAw)
+
+*Adaptive overlapping community discovery algorithm package in python.*
+
+ASLPAw can be used for disjoint and overlapping community detection and works on weighted/unweighted and directed/undirected networks.
+ASLPAw is adaptive with virtually no configuration parameters.
+
+This is an easy-to-understand reference implementation that is not optimized for efficiency, but is robust. The underlying NetworkX package is inherently inefficient and unsuitable for use on large networks.
+The next release will extend support for multiple productivity packages, such as SNAP, graph-tool, and igraph.
+
+## Installation
+
+Installation can be done through pip. You must have python version >= 3.8
+
+	pip install ASLPAw
+
+## Usage
+
+The statement to import the package:
+
+	from ASLPAw_package import ASLPAw
+
+Example:
+
+	>>> from networkx.generators.community import relaxed_caveman_graph
+
+	>>> #Set seed to make the results repeatable.
+	>>> data_graph = relaxed_caveman_graph(3, 6, 0.22, seed = 65535)
+	>>> ASLPAw(data_graph, seed=65535).adj
+	AdjacencyView({0: {2: {'weight': 0.9}}, 2: {2: {'weight': 0.9333333333333333}}, 1: {6: {'weight': 0.6}}, 6: {6: {'weight': 1.0}}, 3: {2: {'weight': 0.6}}, 4: {2: {'weight': 0.8666666666666667}}, 5: {2: {'weight': 0.9333333333333333}}, 7: {6: {'weight': 1.0}}, 8: {6: {'weight': 0.9666666666666667}}, 9: {6: {'weight': 0.9333333333333333}}, 10: {6: {'weight': 0.8666666666666667}}, 11: {6: {'weight': 0.9666666666666667}}, 12: {12: {'weight': 1.0333333333333334}}, 13: {12: {'weight': 0.9666666666666667}}, 14: {12: {'weight': 1.0}}, 15: {12: {'weight': 1.0}}, 16: {12: {'weight': 1.0}}, 17: {12: {'weight': 1.0}}})
+
+	>>> data_graph = relaxed_caveman_graph(3, 6, 0.39, seed = 65535)
+	>>> ASLPAw(data_graph, seed=65535).adj
+	AdjacencyView({0: {1: {'weight': 0.9333333333333333}}, 1: {1: {'weight': 1.0}}, 2: {1: {'weight': 1.0}}, 3: {1: {'weight': 0.9666666666666667}}, 4: {1: {'weight': 1.0}}, 5: {1: {'weight': 0.9666666666666667}}, 6: {}, 7: {7: {'weight': 0.7666666666666667}}, 8: {}, 9: {13: {'weight': 0.4}, 6: {'weight': 0.26666666666666666}}, 13: {13: {'weight': 0.6333333333333333}}, 10: {1: {'weight': 0.5666666666666667}}, 11: {7: {'weight': 0.6333333333333333}}, 12: {12: {'weight': 0.4666666666666667}, 13: {'weight': 0.4}}, 14: {13: {'weight': 0.5666666666666667}}, 15: {13: {'weight': 0.5333333333333333}, 12: {'weight': 0.3333333333333333}}, 16: {13: {'weight': 0.43333333333333335}}, 17: {13: {'weight': 0.43333333333333335}, 12: {'weight': 0.4}}})
+
+
+
+%prep
+%autosetup -n ASLPAw-2.2.0
+
+%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-ASLPAw -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 2.2.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..0722b25
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+cdd5d170cbe330819d6bfdde7fccb5cf  ASLPAw-2.2.0.tar.gz