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@@ -0,0 +1 @@ +/tomotopy-0.12.4.tar.gz diff --git a/python-tomotopy.spec b/python-tomotopy.spec new file mode 100644 index 0000000..5e9ad03 --- /dev/null +++ b/python-tomotopy.spec @@ -0,0 +1,122 @@ +%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 @@ -0,0 +1 @@ +740777ef408fe81fefd34c982c172603 tomotopy-0.12.4.tar.gz |