automatic import of python-timexseries-clustering

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+%global _empty_manifest_terminate_build 0
+Name:		python-timexseries-clustering
+Version:	1.0.17
+Release:	1
+Summary:	TIMEX-CLUSTERING is a framework for time-series-clustering-as-a-service
+License:	GNU General Public License v3 (GPLv3)
+URL:		https://github.com/uGR17/TIMEX_CLUSTERING
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/d2/c3/ea69cc56b5e6305e250b9a946c3fe0de1ac64f4170a00452e75755c771c0/timexseries_clustering-1.0.17.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-dateparser
+Requires:	python3-torch
+Requires:	python3-tslearn
+Requires:	python3-matplotlib
+Requires:	python3-plotly
+Requires:	python3-wheel
+Requires:	python3-colorhash
+Requires:	python3-networkx
+Requires:	python3-dash
+Requires:	python3-dash-bootstrap-components
+Requires:	python3-jupyter-dash
+Requires:	python3-pmdarima
+Requires:	python3-gunicorn
+Requires:	python3-sklearn
+Requires:	python3-scipy
+Requires:	python3-statsmodels
+Requires:	python3-PyWavelets
+Requires:	python3-pytest
+Requires:	python3-Flask
+
+%description
+# TIMEX_CLUSTERING
+Library for time-series-clustering-as-a-service.
+
+[![Tests with PyTest](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml/badge.svg)](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml)
+![Coverage](badges/coverage.svg)
+![PyPI](https://img.shields.io/pypi/v/timexseries_clustering)
+![PyPI - Downloads](https://img.shields.io/pypi/dm/timexseries_clustering)
+
+TIMEX-CLUSTERING (referred in code as `timexseries_clustering`) is a framework for time-series-clustering-as-a-service.
+
+Its main goal is to provide a simple and generic tool to build websites and, more in general,
+platforms, able to provide the clustering of time-series in an "as-a-service" manner.
+
+This means that users should interact with the service as less as possible.
+
+
+## Installation
+Installation is as simple as running:
+
+`pip install timexseries_clustering`
+
+## Get started
+Please, refer to the Examples folder. You will find some Jupyter Notebook which illustrate
+the main characteristics of TIMEX-CLUSTERING. A Notebook explaining the clustering of the new positive cases for the COVID-19 spread around the world, along with the source code of the site, [here](https://github.com/uGR17/TIMEX_CLUSTERING/blob/ff89d8b55826436ea74ba142e4129f57b3b7d786/examples/COVID_Clustering.ipynb).
+
+## Documentation
+The full documentation is available at [here](https://ugr17.github.io/TIMEX_CLUSTERING/timexseries_clustering/index.html).
+
+## Contacts
+If you have questions, suggestions or problems, feel free to open an Issue.
+You can contact us at:
+
+- uriel.guadarrama@polimi.it
+- alessandro.falcetta@polimi.it
+- manuel.roveri@polimi.it
+
+
+
+
+%package -n python3-timexseries-clustering
+Summary:	TIMEX-CLUSTERING is a framework for time-series-clustering-as-a-service
+Provides:	python-timexseries-clustering
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-timexseries-clustering
+# TIMEX_CLUSTERING
+Library for time-series-clustering-as-a-service.
+
+[![Tests with PyTest](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml/badge.svg)](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml)
+![Coverage](badges/coverage.svg)
+![PyPI](https://img.shields.io/pypi/v/timexseries_clustering)
+![PyPI - Downloads](https://img.shields.io/pypi/dm/timexseries_clustering)
+
+TIMEX-CLUSTERING (referred in code as `timexseries_clustering`) is a framework for time-series-clustering-as-a-service.
+
+Its main goal is to provide a simple and generic tool to build websites and, more in general,
+platforms, able to provide the clustering of time-series in an "as-a-service" manner.
+
+This means that users should interact with the service as less as possible.
+
+
+## Installation
+Installation is as simple as running:
+
+`pip install timexseries_clustering`
+
+## Get started
+Please, refer to the Examples folder. You will find some Jupyter Notebook which illustrate
+the main characteristics of TIMEX-CLUSTERING. A Notebook explaining the clustering of the new positive cases for the COVID-19 spread around the world, along with the source code of the site, [here](https://github.com/uGR17/TIMEX_CLUSTERING/blob/ff89d8b55826436ea74ba142e4129f57b3b7d786/examples/COVID_Clustering.ipynb).
+
+## Documentation
+The full documentation is available at [here](https://ugr17.github.io/TIMEX_CLUSTERING/timexseries_clustering/index.html).
+
+## Contacts
+If you have questions, suggestions or problems, feel free to open an Issue.
+You can contact us at:
+
+- uriel.guadarrama@polimi.it
+- alessandro.falcetta@polimi.it
+- manuel.roveri@polimi.it
+
+
+
+
+%package help
+Summary:	Development documents and examples for timexseries-clustering
+Provides:	python3-timexseries-clustering-doc
+%description help
+# TIMEX_CLUSTERING
+Library for time-series-clustering-as-a-service.
+
+[![Tests with PyTest](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml/badge.svg)](https://github.com/AlexMV12/TIMEX/actions/workflows/run_tests.yml)
+![Coverage](badges/coverage.svg)
+![PyPI](https://img.shields.io/pypi/v/timexseries_clustering)
+![PyPI - Downloads](https://img.shields.io/pypi/dm/timexseries_clustering)
+
+TIMEX-CLUSTERING (referred in code as `timexseries_clustering`) is a framework for time-series-clustering-as-a-service.
+
+Its main goal is to provide a simple and generic tool to build websites and, more in general,
+platforms, able to provide the clustering of time-series in an "as-a-service" manner.
+
+This means that users should interact with the service as less as possible.
+
+
+## Installation
+Installation is as simple as running:
+
+`pip install timexseries_clustering`
+
+## Get started
+Please, refer to the Examples folder. You will find some Jupyter Notebook which illustrate
+the main characteristics of TIMEX-CLUSTERING. A Notebook explaining the clustering of the new positive cases for the COVID-19 spread around the world, along with the source code of the site, [here](https://github.com/uGR17/TIMEX_CLUSTERING/blob/ff89d8b55826436ea74ba142e4129f57b3b7d786/examples/COVID_Clustering.ipynb).
+
+## Documentation
+The full documentation is available at [here](https://ugr17.github.io/TIMEX_CLUSTERING/timexseries_clustering/index.html).
+
+## Contacts
+If you have questions, suggestions or problems, feel free to open an Issue.
+You can contact us at:
+
+- uriel.guadarrama@polimi.it
+- alessandro.falcetta@polimi.it
+- manuel.roveri@polimi.it
+
+
+
+
+%prep
+%autosetup -n timexseries-clustering-1.0.17
+
+%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-timexseries-clustering -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 1.0.17-1
+- Package Spec generated