automatic import of python-seglearn

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diff --git a/python-seglearn.spec b/python-seglearn.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-seglearn
+Version:	1.2.5
+Release:	1
+Summary:	A template for scikit-learn compatible packages.
+License:	BSD
+URL:		https://github.com/dmbee/seglearn
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/08/4b/f287b7bcbdca0e8b1bce37fed9277896207c69fed97c7495c6a557a1ddb9/seglearn-1.2.5.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-scipy
+Requires:	python3-scikit-learn
+Requires:	python3-sphinx
+Requires:	python3-sphinx-gallery
+Requires:	python3-sphinx-rtd-theme
+Requires:	python3-numpydoc
+Requires:	python3-matplotlib
+Requires:	python3-keras
+Requires:	python3-pandas
+Requires:	python3-imbalanced-learn
+Requires:	python3-pytest
+Requires:	python3-pytest-cov
+
+%description
+Seglearn is a python package for machine learning time series or sequences. It provides an integrated pipeline for segmentation, feature extraction, feature processing, and final estimator. Seglearn provides a flexible approach to multivariate time series and related contextual (meta) data for classification, regression, and forecasting problems. Support and examples are provided for learning time series with classical machine learning and deep learning models. It is compatible with scikit-learn_.
+
+%package -n python3-seglearn
+Summary:	A template for scikit-learn compatible packages.
+Provides:	python-seglearn
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-seglearn
+Seglearn is a python package for machine learning time series or sequences. It provides an integrated pipeline for segmentation, feature extraction, feature processing, and final estimator. Seglearn provides a flexible approach to multivariate time series and related contextual (meta) data for classification, regression, and forecasting problems. Support and examples are provided for learning time series with classical machine learning and deep learning models. It is compatible with scikit-learn_.
+
+%package help
+Summary:	Development documents and examples for seglearn
+Provides:	python3-seglearn-doc
+%description help
+Seglearn is a python package for machine learning time series or sequences. It provides an integrated pipeline for segmentation, feature extraction, feature processing, and final estimator. Seglearn provides a flexible approach to multivariate time series and related contextual (meta) data for classification, regression, and forecasting problems. Support and examples are provided for learning time series with classical machine learning and deep learning models. It is compatible with scikit-learn_.
+
+%prep
+%autosetup -n seglearn-1.2.5
+
+%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-seglearn -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 31 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.5-1
+- Package Spec generated