From 01cedc48dff075b6629b08d0f8af587c26b90d6a Mon Sep 17 00:00:00 2001 From: CoprDistGit Date: Mon, 10 Apr 2023 22:00:59 +0000 Subject: automatic import of python-pgmpy --- .gitignore | 1 + python-pgmpy.spec | 142 ++++++++++++++++++++++++++++++++++++++++++++++++++++++ sources | 1 + 3 files changed, 144 insertions(+) create mode 100644 python-pgmpy.spec create mode 100644 sources diff --git a/.gitignore b/.gitignore index e69de29..f7f16fd 100644 --- a/.gitignore +++ b/.gitignore @@ -0,0 +1 @@ +/pgmpy-0.1.22.tar.gz diff --git a/python-pgmpy.spec b/python-pgmpy.spec new file mode 100644 index 0000000..b918df7 --- /dev/null +++ b/python-pgmpy.spec @@ -0,0 +1,142 @@ +%global _empty_manifest_terminate_build 0 +Name: python-pgmpy +Version: 0.1.22 +Release: 1 +Summary: A library for Probabilistic Graphical Models +License: MIT +URL: https://github.com/pgmpy/pgmpy +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/09/d7/585fcc2e66dd2bf53fb5b7bd11175add10d8a45e93866c6dc0b9d244f43a/pgmpy-0.1.22.tar.gz +BuildArch: noarch + +Requires: python3-networkx +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-scikit-learn +Requires: python3-pandas +Requires: python3-pyparsing +Requires: python3-torch +Requires: python3-statsmodels +Requires: python3-tqdm +Requires: python3-joblib +Requires: python3-opt-einsum +Requires: python3-networkx +Requires: python3-numpy +Requires: python3-scipy +Requires: python3-scikit-learn +Requires: python3-pandas +Requires: python3-pyparsing +Requires: python3-torch +Requires: python3-statsmodels +Requires: python3-tqdm +Requires: python3-joblib +Requires: python3-opt-einsum +Requires: python3-xdoctest +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-coverage +Requires: python3-codecov +Requires: python3-mock +Requires: python3-black +Requires: python3-daft +Requires: python3-xdoctest +Requires: python3-pytest +Requires: python3-pytest-cov +Requires: python3-coverage +Requires: python3-codecov +Requires: python3-mock +Requires: python3-black + +%description +![Build](https://github.com/pgmpy/pgmpy/actions/workflows/ci.yml/badge.svg?branch=dev) +[![codecov](https://codecov.io/gh/pgmpy/pgmpy/branch/dev/graph/badge.svg)](https://codecov.io/gh/pgmpy/pgmpy) +[![Codacy Badge](https://api.codacy.com/project/badge/Grade/78a8256c90654c6892627f6d8bbcea14)](https://www.codacy.com/gh/pgmpy/pgmpy?utm_source=github.com&utm_medium=referral&utm_content=pgmpy/pgmpy&utm_campaign=Badge_Grade) +[![Downloads](https://img.shields.io/pypi/dm/pgmpy.svg)](https://pypistats.org/packages/pgmpy) +[![Join the chat at https://gitter.im/pgmpy/pgmpy](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/pgmpy/pgmpy?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) +[![asv](http://img.shields.io/badge/benchmarked%20by-asv-blue.svg?style=flat)](http://pgmpy.org/pgmpy-benchmarks/) +pgmpy is a python library for working with Probabilistic Graphical Models. +Documentation and list of algorithms supported is at our official site http://pgmpy.org/ +Examples on using pgmpy: https://github.com/pgmpy/pgmpy/tree/dev/examples +Basic tutorial on Probabilistic Graphical models using pgmpy: https://github.com/pgmpy/pgmpy_notebook +Our mailing list is at https://groups.google.com/forum/#!forum/pgmpy . +We have our community chat at [gitter](https://gitter.im/pgmpy/pgmpy). + +%package -n python3-pgmpy +Summary: A library for Probabilistic Graphical Models +Provides: python-pgmpy +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-pgmpy +![Build](https://github.com/pgmpy/pgmpy/actions/workflows/ci.yml/badge.svg?branch=dev) +[![codecov](https://codecov.io/gh/pgmpy/pgmpy/branch/dev/graph/badge.svg)](https://codecov.io/gh/pgmpy/pgmpy) +[![Codacy Badge](https://api.codacy.com/project/badge/Grade/78a8256c90654c6892627f6d8bbcea14)](https://www.codacy.com/gh/pgmpy/pgmpy?utm_source=github.com&utm_medium=referral&utm_content=pgmpy/pgmpy&utm_campaign=Badge_Grade) +[![Downloads](https://img.shields.io/pypi/dm/pgmpy.svg)](https://pypistats.org/packages/pgmpy) +[![Join the chat at https://gitter.im/pgmpy/pgmpy](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/pgmpy/pgmpy?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) +[![asv](http://img.shields.io/badge/benchmarked%20by-asv-blue.svg?style=flat)](http://pgmpy.org/pgmpy-benchmarks/) +pgmpy is a python library for working with Probabilistic Graphical Models. +Documentation and list of algorithms supported is at our official site http://pgmpy.org/ +Examples on using pgmpy: https://github.com/pgmpy/pgmpy/tree/dev/examples +Basic tutorial on Probabilistic Graphical models using pgmpy: https://github.com/pgmpy/pgmpy_notebook +Our mailing list is at https://groups.google.com/forum/#!forum/pgmpy . +We have our community chat at [gitter](https://gitter.im/pgmpy/pgmpy). + +%package help +Summary: Development documents and examples for pgmpy +Provides: python3-pgmpy-doc +%description help +![Build](https://github.com/pgmpy/pgmpy/actions/workflows/ci.yml/badge.svg?branch=dev) +[![codecov](https://codecov.io/gh/pgmpy/pgmpy/branch/dev/graph/badge.svg)](https://codecov.io/gh/pgmpy/pgmpy) +[![Codacy Badge](https://api.codacy.com/project/badge/Grade/78a8256c90654c6892627f6d8bbcea14)](https://www.codacy.com/gh/pgmpy/pgmpy?utm_source=github.com&utm_medium=referral&utm_content=pgmpy/pgmpy&utm_campaign=Badge_Grade) +[![Downloads](https://img.shields.io/pypi/dm/pgmpy.svg)](https://pypistats.org/packages/pgmpy) +[![Join the chat at https://gitter.im/pgmpy/pgmpy](https://badges.gitter.im/Join%20Chat.svg)](https://gitter.im/pgmpy/pgmpy?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) +[![asv](http://img.shields.io/badge/benchmarked%20by-asv-blue.svg?style=flat)](http://pgmpy.org/pgmpy-benchmarks/) +pgmpy is a python library for working with Probabilistic Graphical Models. +Documentation and list of algorithms supported is at our official site http://pgmpy.org/ +Examples on using pgmpy: https://github.com/pgmpy/pgmpy/tree/dev/examples +Basic tutorial on Probabilistic Graphical models using pgmpy: https://github.com/pgmpy/pgmpy_notebook +Our mailing list is at https://groups.google.com/forum/#!forum/pgmpy . +We have our community chat at [gitter](https://gitter.im/pgmpy/pgmpy). + +%prep +%autosetup -n pgmpy-0.1.22 + +%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-pgmpy -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot - 0.1.22-1 +- Package Spec generated diff --git a/sources b/sources new file mode 100644 index 0000000..16c7631 --- /dev/null +++ b/sources @@ -0,0 +1 @@ +ec467b7e632713009a8158b1ad497742 pgmpy-0.1.22.tar.gz -- cgit v1.2.3