summaryrefslogtreecommitdiff
path: root/python-pgmpy.spec
diff options
context:
space:
mode:
authorCoprDistGit <infra@openeuler.org>2023-04-10 22:00:59 +0000
committerCoprDistGit <infra@openeuler.org>2023-04-10 22:00:59 +0000
commit01cedc48dff075b6629b08d0f8af587c26b90d6a (patch)
treeddc9f9bbe5161cfa50cc44123e38fd12e5cd2083 /python-pgmpy.spec
parentf247c09531554b99a63f3ee21603a4f552549186 (diff)
automatic import of python-pgmpy
Diffstat (limited to 'python-pgmpy.spec')
-rw-r--r--python-pgmpy.spec142
1 files changed, 142 insertions, 0 deletions
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&amp;utm_medium=referral&amp;utm_content=pgmpy/pgmpy&amp;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&amp;utm_medium=referral&amp;utm_content=pgmpy/pgmpy&amp;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&amp;utm_medium=referral&amp;utm_content=pgmpy/pgmpy&amp;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 <Python_Bot@openeuler.org> - 0.1.22-1
+- Package Spec generated