automatic import of python-graphhierarchy

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diff --git a/.gitignore b/.gitignore
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+/GraphHierarchy-1.8.tar.gz
diff --git a/python-graphhierarchy.spec b/python-graphhierarchy.spec
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+++ b/python-graphhierarchy.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-GraphHierarchy
+Version:	1.8
+Release:	1
+Summary:	A module calculating quantities related to a network metric known as trophic coherence but now generalised to all networks, see Moutsinas, G., Shuaib, C., Guo, W., & Jarvis, S. (2019). Graph hierarchy and spread of infections. arXiv preprint arXiv:1908.04358 for more details.
+License:	MIT
+URL:		https://github.com/shuaib7860/GraphHierarchy
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/f6/cd/fff2e978e803c1ef153146bcf19d19ef4d62ec1e6d52d349d7dc1a1a65ea/GraphHierarchy-1.8.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-networkx
+
+%description
+
+**GraphHierarchy** is a python package that calculates the hierarchical level of nodes in a network, the associated hierarchical differences for the edges and the hierarchical coherence of the network. 
+Hierarchical analysis is the mathematical generalisation of the trophic analysis of networks. Trophic levels and hence trophic coherence can be defined only on networks with well defined sources, known as basal nodes. 
+Trophic coherence, a measure of a network’s hierarchical organisation, has been shown to be linked to a network’s structural and dynamical properties. Thus trophic analysis of networks had been restricted to the ecological domain, until now.  
+Graph Hierarchy is a python package that implements this mathematical generalisation that allows for analysis of all network structures via the trophic approach.
+
+See Moutsinas, G., Shuaib, C., Guo, W., & Jarvis, S. (2019). Graph hierarchy and spread of infections. arXiv preprint arXiv:1908.04358 for more details.
+
+.. _GitHub: https://github.com/shuaib7860/GraphHierarchy
+
+
+
+
+%package -n python3-GraphHierarchy
+Summary:	A module calculating quantities related to a network metric known as trophic coherence but now generalised to all networks, see Moutsinas, G., Shuaib, C., Guo, W., & Jarvis, S. (2019). Graph hierarchy and spread of infections. arXiv preprint arXiv:1908.04358 for more details.
+Provides:	python-GraphHierarchy
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-GraphHierarchy
+
+**GraphHierarchy** is a python package that calculates the hierarchical level of nodes in a network, the associated hierarchical differences for the edges and the hierarchical coherence of the network. 
+Hierarchical analysis is the mathematical generalisation of the trophic analysis of networks. Trophic levels and hence trophic coherence can be defined only on networks with well defined sources, known as basal nodes. 
+Trophic coherence, a measure of a network’s hierarchical organisation, has been shown to be linked to a network’s structural and dynamical properties. Thus trophic analysis of networks had been restricted to the ecological domain, until now.  
+Graph Hierarchy is a python package that implements this mathematical generalisation that allows for analysis of all network structures via the trophic approach.
+
+See Moutsinas, G., Shuaib, C., Guo, W., & Jarvis, S. (2019). Graph hierarchy and spread of infections. arXiv preprint arXiv:1908.04358 for more details.
+
+.. _GitHub: https://github.com/shuaib7860/GraphHierarchy
+
+
+
+
+%package help
+Summary:	Development documents and examples for GraphHierarchy
+Provides:	python3-GraphHierarchy-doc
+%description help
+
+**GraphHierarchy** is a python package that calculates the hierarchical level of nodes in a network, the associated hierarchical differences for the edges and the hierarchical coherence of the network. 
+Hierarchical analysis is the mathematical generalisation of the trophic analysis of networks. Trophic levels and hence trophic coherence can be defined only on networks with well defined sources, known as basal nodes. 
+Trophic coherence, a measure of a network’s hierarchical organisation, has been shown to be linked to a network’s structural and dynamical properties. Thus trophic analysis of networks had been restricted to the ecological domain, until now.  
+Graph Hierarchy is a python package that implements this mathematical generalisation that allows for analysis of all network structures via the trophic approach.
+
+See Moutsinas, G., Shuaib, C., Guo, W., & Jarvis, S. (2019). Graph hierarchy and spread of infections. arXiv preprint arXiv:1908.04358 for more details.
+
+.. _GitHub: https://github.com/shuaib7860/GraphHierarchy
+
+
+
+
+%prep
+%autosetup -n GraphHierarchy-1.8
+
+%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-GraphHierarchy -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 1.8-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..13df758
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+75559701ef46fbfcba46c751df667b4f  GraphHierarchy-1.8.tar.gz