automatic import of python-pm4py

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diff --git a/.gitignore b/.gitignore
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+/pm4py-2.7.2.tar.gz
diff --git a/python-pm4py.spec b/python-pm4py.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-pm4py
+Version:	2.7.2
+Release:	1
+Summary:	Process mining for Python
+License:	GPL 3.0
+URL:		http://www.pm4py.org
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/74/e0/60c9162bd5d1425b8c3219bb3542fa368673dde228249f8a452de45b3695/pm4py-2.7.2.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-deprecation
+Requires:	python3-graphviz
+Requires:	python3-intervaltree
+Requires:	python3-lxml
+Requires:	python3-matplotlib
+Requires:	python3-networkx
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-pydotplus
+Requires:	python3-pytz
+Requires:	python3-scipy
+Requires:	python3-stringdist
+Requires:	python3-tqdm
+Requires:	python3-cvxopt
+Requires:	python3-cvxopt
+
+%description
+# pm4py

+pm4py is a python library that supports (state-of-the-art) process mining algorithms in python. 

+It is open source (licensed under GPL) and intended to be used in both academia and industry projects.

+pm4py is a product of the Fraunhofer Institute for Applied Information Technology.

+

+## Documentation / API

+The full documentation of pm4py can be found at http://pm4py.org/

+

+## First Example

+A very simple example, to whet your appetite:

+

+import pm4py

+

+if __name__ == "__main__":

+    log = pm4py.read_xes('<path-to-xes-log-file.xes>')

+    net, initial_marking, final_marking = pm4py.discover_petri_net_inductive(log)

+    pm4py.view_petri_net(net, initial_marking, final_marking, format="svg")

+

+## Installation

+pm4py can be installed on Python 3.8.x / 3.9.x / 3.10.x / 3.11.x by invoking:

+*pip install -U pm4py*

+

+## Requirements

+pm4py depends on some other Python packages, with different levels of importance:

+* *Essential requirements*: numpy, pandas, deprecation, networkx

+* *Normal requirements* (installed by default with the pm4py package, important for mainstream usage): graphviz, intervaltree, lxml, matplotlib, pydotplus, pytz, scipy, stringdist, tqdm

+* *Optional requirements* (not installed by default): scikit-learn, pyemd, pyvis, jsonschema, polars, openai, pywin32, python-dateutil, requests, workalendar

+

+## Release Notes

+To track the incremental updates, please refer to the *CHANGELOG* file.

+

+## Third Party Dependencies

+As scientific library in the Python ecosystem, we rely on external libraries to offer our features.

+In the */third_party* folder, we list all the licenses of our direct dependencies.

+Please check the */third_party/LICENSES_TRANSITIVE* file to get a full list of all transitive dependencies and the corresponding license.

+

+## Citing pm4py

+If you are using pm4py in your scientific work, please cite pm4py as follows:

+

+Berti, A., van Zelst, S.J., van der Aalst, W.M.P. (2019): Process Mining for Python (PM4Py): Bridging the Gap Between Process-and Data Science. In: Proceedings of the ICPM Demo Track 2019, co-located with 1st International Conference on Process Mining (ICPM 2019), Aachen, Germany, June 24-26, 2019. pp. 13-16 (2019). http://ceur-ws.org/Vol-2374/

+
+
+%package -n python3-pm4py
+Summary:	Process mining for Python
+Provides:	python-pm4py
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pm4py
+# pm4py

+pm4py is a python library that supports (state-of-the-art) process mining algorithms in python. 

+It is open source (licensed under GPL) and intended to be used in both academia and industry projects.

+pm4py is a product of the Fraunhofer Institute for Applied Information Technology.

+

+## Documentation / API

+The full documentation of pm4py can be found at http://pm4py.org/

+

+## First Example

+A very simple example, to whet your appetite:

+

+import pm4py

+

+if __name__ == "__main__":

+    log = pm4py.read_xes('<path-to-xes-log-file.xes>')

+    net, initial_marking, final_marking = pm4py.discover_petri_net_inductive(log)

+    pm4py.view_petri_net(net, initial_marking, final_marking, format="svg")

+

+## Installation

+pm4py can be installed on Python 3.8.x / 3.9.x / 3.10.x / 3.11.x by invoking:

+*pip install -U pm4py*

+

+## Requirements

+pm4py depends on some other Python packages, with different levels of importance:

+* *Essential requirements*: numpy, pandas, deprecation, networkx

+* *Normal requirements* (installed by default with the pm4py package, important for mainstream usage): graphviz, intervaltree, lxml, matplotlib, pydotplus, pytz, scipy, stringdist, tqdm

+* *Optional requirements* (not installed by default): scikit-learn, pyemd, pyvis, jsonschema, polars, openai, pywin32, python-dateutil, requests, workalendar

+

+## Release Notes

+To track the incremental updates, please refer to the *CHANGELOG* file.

+

+## Third Party Dependencies

+As scientific library in the Python ecosystem, we rely on external libraries to offer our features.

+In the */third_party* folder, we list all the licenses of our direct dependencies.

+Please check the */third_party/LICENSES_TRANSITIVE* file to get a full list of all transitive dependencies and the corresponding license.

+

+## Citing pm4py

+If you are using pm4py in your scientific work, please cite pm4py as follows:

+

+Berti, A., van Zelst, S.J., van der Aalst, W.M.P. (2019): Process Mining for Python (PM4Py): Bridging the Gap Between Process-and Data Science. In: Proceedings of the ICPM Demo Track 2019, co-located with 1st International Conference on Process Mining (ICPM 2019), Aachen, Germany, June 24-26, 2019. pp. 13-16 (2019). http://ceur-ws.org/Vol-2374/

+
+
+%package help
+Summary:	Development documents and examples for pm4py
+Provides:	python3-pm4py-doc
+%description help
+# pm4py

+pm4py is a python library that supports (state-of-the-art) process mining algorithms in python. 

+It is open source (licensed under GPL) and intended to be used in both academia and industry projects.

+pm4py is a product of the Fraunhofer Institute for Applied Information Technology.

+

+## Documentation / API

+The full documentation of pm4py can be found at http://pm4py.org/

+

+## First Example

+A very simple example, to whet your appetite:

+

+import pm4py

+

+if __name__ == "__main__":

+    log = pm4py.read_xes('<path-to-xes-log-file.xes>')

+    net, initial_marking, final_marking = pm4py.discover_petri_net_inductive(log)

+    pm4py.view_petri_net(net, initial_marking, final_marking, format="svg")

+

+## Installation

+pm4py can be installed on Python 3.8.x / 3.9.x / 3.10.x / 3.11.x by invoking:

+*pip install -U pm4py*

+

+## Requirements

+pm4py depends on some other Python packages, with different levels of importance:

+* *Essential requirements*: numpy, pandas, deprecation, networkx

+* *Normal requirements* (installed by default with the pm4py package, important for mainstream usage): graphviz, intervaltree, lxml, matplotlib, pydotplus, pytz, scipy, stringdist, tqdm

+* *Optional requirements* (not installed by default): scikit-learn, pyemd, pyvis, jsonschema, polars, openai, pywin32, python-dateutil, requests, workalendar

+

+## Release Notes

+To track the incremental updates, please refer to the *CHANGELOG* file.

+

+## Third Party Dependencies

+As scientific library in the Python ecosystem, we rely on external libraries to offer our features.

+In the */third_party* folder, we list all the licenses of our direct dependencies.

+Please check the */third_party/LICENSES_TRANSITIVE* file to get a full list of all transitive dependencies and the corresponding license.

+

+## Citing pm4py

+If you are using pm4py in your scientific work, please cite pm4py as follows:

+

+Berti, A., van Zelst, S.J., van der Aalst, W.M.P. (2019): Process Mining for Python (PM4Py): Bridging the Gap Between Process-and Data Science. In: Proceedings of the ICPM Demo Track 2019, co-located with 1st International Conference on Process Mining (ICPM 2019), Aachen, Germany, June 24-26, 2019. pp. 13-16 (2019). http://ceur-ws.org/Vol-2374/

+
+
+%prep
+%autosetup -n pm4py-2.7.2
+
+%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-pm4py -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 2.7.2-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..6226e67
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+f4ca8eb6b8d0031df5e0480904119646  pm4py-2.7.2.tar.gz