automatic import of python-pecos

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+%global _empty_manifest_terminate_build 0
+Name:		python-pecos
+Version:	0.2.0
+Release:	1
+Summary:	Python package for performance monitoring of time series data.
+License:	Revised BSD
+URL:		https://github.com/sandialabs/pecos
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/a9/10/4058e4724fcd2c8e22a7158f754f85a02e663ee99b5e5dbcc87d61d73b96/pecos-0.2.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-numpy
+Requires:	python3-pandas
+Requires:	python3-matplotlib
+Requires:	python3-jinja2
+
+%description
+[![TravisCI](https://travis-ci.org/sandialabs/pecos.svg?branch=master)](https://travis-ci.org/sandialabs/pecos)
+[![Coverage Status](https://coveralls.io/repos/github/sandialabs/pecos/badge.svg?branch=master)](https://coveralls.io/github/sandialabs/pecos?branch=master)
+[![Documentation Status](https://readthedocs.org/projects/pecos/badge/?version=stable)](https://pecos.readthedocs.io/en/stable/?badge=stable)
+[![Downloads](https://pepy.tech/badge/pecos)](https://pepy.tech/project/pecos)
+Advances in sensor technology have rapidly increased our ability to monitor 
+natural and human-made physical systems. In many cases, it is critical to 
+process the resulting large volumes of data on a regular schedule and alert 
+system operators when the system has changed. Automated quality control and 
+performance monitoring can allow system operators to quickly detect performance 
+issues.  
+Pecos is an open source Python package designed to address this need. Pecos 
+includes built-in functionality to monitor performance of time series data, 
+subject to a series of quality control tests. The Python package includes 
+methods to run quality control tests defined by the user and generate reports 
+which include performance metrics, test results, and graphics. The software was 
+developed specifically for solar photovoltaic system monitoring, but is 
+designed to be used for a wide range of applications. 
+For more information, go to http://pecos.readthedocs.io
+
+%package -n python3-pecos
+Summary:	Python package for performance monitoring of time series data.
+Provides:	python-pecos
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-pecos
+[![TravisCI](https://travis-ci.org/sandialabs/pecos.svg?branch=master)](https://travis-ci.org/sandialabs/pecos)
+[![Coverage Status](https://coveralls.io/repos/github/sandialabs/pecos/badge.svg?branch=master)](https://coveralls.io/github/sandialabs/pecos?branch=master)
+[![Documentation Status](https://readthedocs.org/projects/pecos/badge/?version=stable)](https://pecos.readthedocs.io/en/stable/?badge=stable)
+[![Downloads](https://pepy.tech/badge/pecos)](https://pepy.tech/project/pecos)
+Advances in sensor technology have rapidly increased our ability to monitor 
+natural and human-made physical systems. In many cases, it is critical to 
+process the resulting large volumes of data on a regular schedule and alert 
+system operators when the system has changed. Automated quality control and 
+performance monitoring can allow system operators to quickly detect performance 
+issues.  
+Pecos is an open source Python package designed to address this need. Pecos 
+includes built-in functionality to monitor performance of time series data, 
+subject to a series of quality control tests. The Python package includes 
+methods to run quality control tests defined by the user and generate reports 
+which include performance metrics, test results, and graphics. The software was 
+developed specifically for solar photovoltaic system monitoring, but is 
+designed to be used for a wide range of applications. 
+For more information, go to http://pecos.readthedocs.io
+
+%package help
+Summary:	Development documents and examples for pecos
+Provides:	python3-pecos-doc
+%description help
+[![TravisCI](https://travis-ci.org/sandialabs/pecos.svg?branch=master)](https://travis-ci.org/sandialabs/pecos)
+[![Coverage Status](https://coveralls.io/repos/github/sandialabs/pecos/badge.svg?branch=master)](https://coveralls.io/github/sandialabs/pecos?branch=master)
+[![Documentation Status](https://readthedocs.org/projects/pecos/badge/?version=stable)](https://pecos.readthedocs.io/en/stable/?badge=stable)
+[![Downloads](https://pepy.tech/badge/pecos)](https://pepy.tech/project/pecos)
+Advances in sensor technology have rapidly increased our ability to monitor 
+natural and human-made physical systems. In many cases, it is critical to 
+process the resulting large volumes of data on a regular schedule and alert 
+system operators when the system has changed. Automated quality control and 
+performance monitoring can allow system operators to quickly detect performance 
+issues.  
+Pecos is an open source Python package designed to address this need. Pecos 
+includes built-in functionality to monitor performance of time series data, 
+subject to a series of quality control tests. The Python package includes 
+methods to run quality control tests defined by the user and generate reports 
+which include performance metrics, test results, and graphics. The software was 
+developed specifically for solar photovoltaic system monitoring, but is 
+designed to be used for a wide range of applications. 
+For more information, go to http://pecos.readthedocs.io
+
+%prep
+%autosetup -n pecos-0.2.0
+
+%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-pecos -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Mon May 29 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.0-1
+- Package Spec generated