From 3a71078b160cf99b379a76febd2ea321c2c2675d Mon Sep 17 00:00:00 2001
From: CoprDistGit <infra@openeuler.org>
Date: Fri, 5 May 2023 09:40:10 +0000
Subject: automatic import of python-bipartitepandas

---
 .gitignore                  |  1 +
 python-bipartitepandas.spec | 89 +++++++++++++++++++++++++++++++++++++++++++++
 sources                     |  1 +
 3 files changed, 91 insertions(+)
 create mode 100644 python-bipartitepandas.spec
 create mode 100644 sources

diff --git a/.gitignore b/.gitignore
index e69de29..096c173 100644
--- a/.gitignore
+++ b/.gitignore
@@ -0,0 +1 @@
+/bipartitepandas-1.1.4.tar.gz
diff --git a/python-bipartitepandas.spec b/python-bipartitepandas.spec
new file mode 100644
index 0000000..7530881
--- /dev/null
+++ b/python-bipartitepandas.spec
@@ -0,0 +1,89 @@
+%global _empty_manifest_terminate_build 0
+Name:		python-bipartitepandas
+Version:	1.1.4
+Release:	1
+Summary:	Python tools for bipartite labor data
+License:	MIT License
+URL:		https://github.com/tlamadon/bipartitepandas/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/c6/b8/f91aabd13643f4b278a10d187733a01505e4d2a907185f165339d85d1ed7/bipartitepandas-1.1.4.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-paramsdict
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-scipy
+Requires:	python3-scikit-learn
+Requires:	python3-statsmodels
+Requires:	python3-igraph
+Requires:	python3-tqdm
+
+%description
+`BipartitePandas` is a Python package for handling bipartite labor data.
+If you want to give it a try, you can start the example notebook here: |binder|. This starts a fully interactive notebook with a simple example that generates data and demonstrates some useful functions.
+BipartitePandas is used in `PyTwoWay <https://github.com/tlamadon/pytwoway/>`_.
+The package provides a Python interface. Installation is handled by `pip` or `Conda`. The source of the package is available on GitHub at `BipartitePandas <https://github.com/tlamadon/bipartitepandas>`_. The online documentation is hosted `here <https://tlamadon.github.io/bipartitepandas/>`_.
+
+%package -n python3-bipartitepandas
+Summary:	Python tools for bipartite labor data
+Provides:	python-bipartitepandas
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-bipartitepandas
+`BipartitePandas` is a Python package for handling bipartite labor data.
+If you want to give it a try, you can start the example notebook here: |binder|. This starts a fully interactive notebook with a simple example that generates data and demonstrates some useful functions.
+BipartitePandas is used in `PyTwoWay <https://github.com/tlamadon/pytwoway/>`_.
+The package provides a Python interface. Installation is handled by `pip` or `Conda`. The source of the package is available on GitHub at `BipartitePandas <https://github.com/tlamadon/bipartitepandas>`_. The online documentation is hosted `here <https://tlamadon.github.io/bipartitepandas/>`_.
+
+%package help
+Summary:	Development documents and examples for bipartitepandas
+Provides:	python3-bipartitepandas-doc
+%description help
+`BipartitePandas` is a Python package for handling bipartite labor data.
+If you want to give it a try, you can start the example notebook here: |binder|. This starts a fully interactive notebook with a simple example that generates data and demonstrates some useful functions.
+BipartitePandas is used in `PyTwoWay <https://github.com/tlamadon/pytwoway/>`_.
+The package provides a Python interface. Installation is handled by `pip` or `Conda`. The source of the package is available on GitHub at `BipartitePandas <https://github.com/tlamadon/bipartitepandas>`_. The online documentation is hosted `here <https://tlamadon.github.io/bipartitepandas/>`_.
+
+%prep
+%autosetup -n bipartitepandas-1.1.4
+
+%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-bipartitepandas -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.4-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..8a548ed
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+483e5965ebd09adeb469437500e6f074  bipartitepandas-1.1.4.tar.gz
-- 
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