automatic import of python-tomotopy

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+%global _empty_manifest_terminate_build 0
+Name:		python-tomotopy
+Version:	0.12.4
+Release:	1
+Summary:	Tomoto, Topic Modeling Tool for Python
+License:	MIT License
+URL:		https://github.com/bab2min/tomotopy
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/af/f2/7cdadb90ebc692e5fcb84720e104be318f7f3131cdaa95cf9707e7c4dc1a/tomotopy-0.12.4.tar.gz
+
+
+%description
+`tomotopy` is a Python extension of `tomoto` (Topic Modeling Tool) which is a Gibbs-sampling based topic model library written in C++.
+It utilizes a vectorization of modern CPUs for maximizing speed. 
+The current version of `tomoto` supports several major topic models including 
+* Latent Dirichlet Allocation (`tomotopy.LDAModel`)
+* Labeled LDA (`tomotopy.LLDAModel`)
+* Partially Labeled LDA (`tomotopy.PLDAModel`)
+* Supervised LDA (`tomotopy.SLDAModel`)
+* Dirichlet Multinomial Regression (`tomotopy.DMRModel`)
+* Generalized Dirichlet Multinomial Regression (`tomotopy.GDMRModel`)
+* Hierarchical Dirichlet Process (`tomotopy.HDPModel`)
+* Hierarchical LDA (`tomotopy.HLDAModel`)
+* Multi Grain LDA (`tomotopy.MGLDAModel`) 
+* Pachinko Allocation (`tomotopy.PAModel`)
+* Hierarchical PA (`tomotopy.HPAModel`)
+* Correlated Topic Model (`tomotopy.CTModel`)
+* Dynamic Topic Model (`tomotopy.DTModel`)
+* Pseudo-document based Topic Model (`tomotopy.PTModel`).
+
+%package -n python3-tomotopy
+Summary:	Tomoto, Topic Modeling Tool for Python
+Provides:	python-tomotopy
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-tomotopy
+`tomotopy` is a Python extension of `tomoto` (Topic Modeling Tool) which is a Gibbs-sampling based topic model library written in C++.
+It utilizes a vectorization of modern CPUs for maximizing speed. 
+The current version of `tomoto` supports several major topic models including 
+* Latent Dirichlet Allocation (`tomotopy.LDAModel`)
+* Labeled LDA (`tomotopy.LLDAModel`)
+* Partially Labeled LDA (`tomotopy.PLDAModel`)
+* Supervised LDA (`tomotopy.SLDAModel`)
+* Dirichlet Multinomial Regression (`tomotopy.DMRModel`)
+* Generalized Dirichlet Multinomial Regression (`tomotopy.GDMRModel`)
+* Hierarchical Dirichlet Process (`tomotopy.HDPModel`)
+* Hierarchical LDA (`tomotopy.HLDAModel`)
+* Multi Grain LDA (`tomotopy.MGLDAModel`) 
+* Pachinko Allocation (`tomotopy.PAModel`)
+* Hierarchical PA (`tomotopy.HPAModel`)
+* Correlated Topic Model (`tomotopy.CTModel`)
+* Dynamic Topic Model (`tomotopy.DTModel`)
+* Pseudo-document based Topic Model (`tomotopy.PTModel`).
+
+%package help
+Summary:	Development documents and examples for tomotopy
+Provides:	python3-tomotopy-doc
+%description help
+`tomotopy` is a Python extension of `tomoto` (Topic Modeling Tool) which is a Gibbs-sampling based topic model library written in C++.
+It utilizes a vectorization of modern CPUs for maximizing speed. 
+The current version of `tomoto` supports several major topic models including 
+* Latent Dirichlet Allocation (`tomotopy.LDAModel`)
+* Labeled LDA (`tomotopy.LLDAModel`)
+* Partially Labeled LDA (`tomotopy.PLDAModel`)
+* Supervised LDA (`tomotopy.SLDAModel`)
+* Dirichlet Multinomial Regression (`tomotopy.DMRModel`)
+* Generalized Dirichlet Multinomial Regression (`tomotopy.GDMRModel`)
+* Hierarchical Dirichlet Process (`tomotopy.HDPModel`)
+* Hierarchical LDA (`tomotopy.HLDAModel`)
+* Multi Grain LDA (`tomotopy.MGLDAModel`) 
+* Pachinko Allocation (`tomotopy.PAModel`)
+* Hierarchical PA (`tomotopy.HPAModel`)
+* Correlated Topic Model (`tomotopy.CTModel`)
+* Dynamic Topic Model (`tomotopy.DTModel`)
+* Pseudo-document based Topic Model (`tomotopy.PTModel`).
+
+%prep
+%autosetup -n tomotopy-0.12.4
+
+%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-tomotopy -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed Apr 12 2023 Python_Bot <Python_Bot@openeuler.org> - 0.12.4-1
+- Package Spec generated