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+%global _empty_manifest_terminate_build 0
+Name:		python-SoSciKit
+Version:	0.4.0
+Release:	1
+Summary:	Social Science Kit - Open Source Software for Social Science
+License:	MIT
+URL:		https://github.com/scarsellifi/soscikit
+Source0:	https://mirrors.aliyun.com/pypi/web/packages/99/a8/d3202b10d4dc20403d06c172dde359fd3564d6a2fb3d982e6889b4657504/SoSciKit-0.4.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-altair
+Requires:	python3-flask
+Requires:	python3-jupyter
+Requires:	python3-matplotlib
+Requires:	python3-numpy
+Requires:	python3-openpyxl
+Requires:	python3-pandas
+Requires:	python3-pandas-profiling
+Requires:	python3-scipy
+Requires:	python3-seaborn
+Requires:	python3-uuid
+Requires:	python3-xlrd
+
+%description
+
+# SoSciKit
+  ## Social Science Kit - Open Source Software for Social Science
+
+  SoSciKit is a web application for simplified data analysis based on Python scientific libraries and Flask.
+  The web application allows to use the python libraries through a graphical interface even to those who do not know programming language. At the moment the application allows to perform monovariate, bivariate, cross tabulation and k-mean classification operations. In addition, it allows to recode categorical variables and create typologies.
+
+  [![Downloads](https://pepy.tech/badge/soscikit)](https://pepy.tech/project/soscikit)
+  [![Downloads](https://pepy.tech/badge/soscikit/week)](https://pepy.tech/project/soscikit/week)
+
+  ## Installation and dependencies
+  You need a python interpeter installed on PC / Server. 
+  You need Python 3 (tested 3.6 - 3.7) to run this package. Other dependencies can be found in the requirements files
+
+  ### Using pip
+
+  You can install using the pip package manager by running
+
+      pip3.x install soscikit
+
+  ## Usage
+
+  You can start SoScikit by running
+
+      python3.x -m soscikit
+
+  it's start server and open your browser on localhost http://127.0.0.1:5555/
+
+
+  ## How to contribute
+
+  The package is actively maintained and developed as open-source software. If SoSciKit was helpful or interesting to you, you might want to get involved. There are several ways of contributing and helping. If you would like to be a industry partner or sponsor, please [drop us a line](mailto:scarselli@gmail.com).
+
+  ## Demo
+
+  You can try a [DEMO](http://soscikit.eu.pythonanywhere.com/)
+
+
+
+
+
+%package -n python3-SoSciKit
+Summary:	Social Science Kit - Open Source Software for Social Science
+Provides:	python-SoSciKit
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-SoSciKit
+
+# SoSciKit
+  ## Social Science Kit - Open Source Software for Social Science
+
+  SoSciKit is a web application for simplified data analysis based on Python scientific libraries and Flask.
+  The web application allows to use the python libraries through a graphical interface even to those who do not know programming language. At the moment the application allows to perform monovariate, bivariate, cross tabulation and k-mean classification operations. In addition, it allows to recode categorical variables and create typologies.
+
+  [![Downloads](https://pepy.tech/badge/soscikit)](https://pepy.tech/project/soscikit)
+  [![Downloads](https://pepy.tech/badge/soscikit/week)](https://pepy.tech/project/soscikit/week)
+
+  ## Installation and dependencies
+  You need a python interpeter installed on PC / Server. 
+  You need Python 3 (tested 3.6 - 3.7) to run this package. Other dependencies can be found in the requirements files
+
+  ### Using pip
+
+  You can install using the pip package manager by running
+
+      pip3.x install soscikit
+
+  ## Usage
+
+  You can start SoScikit by running
+
+      python3.x -m soscikit
+
+  it's start server and open your browser on localhost http://127.0.0.1:5555/
+
+
+  ## How to contribute
+
+  The package is actively maintained and developed as open-source software. If SoSciKit was helpful or interesting to you, you might want to get involved. There are several ways of contributing and helping. If you would like to be a industry partner or sponsor, please [drop us a line](mailto:scarselli@gmail.com).
+
+  ## Demo
+
+  You can try a [DEMO](http://soscikit.eu.pythonanywhere.com/)
+
+
+
+
+
+%package help
+Summary:	Development documents and examples for SoSciKit
+Provides:	python3-SoSciKit-doc
+%description help
+
+# SoSciKit
+  ## Social Science Kit - Open Source Software for Social Science
+
+  SoSciKit is a web application for simplified data analysis based on Python scientific libraries and Flask.
+  The web application allows to use the python libraries through a graphical interface even to those who do not know programming language. At the moment the application allows to perform monovariate, bivariate, cross tabulation and k-mean classification operations. In addition, it allows to recode categorical variables and create typologies.
+
+  [![Downloads](https://pepy.tech/badge/soscikit)](https://pepy.tech/project/soscikit)
+  [![Downloads](https://pepy.tech/badge/soscikit/week)](https://pepy.tech/project/soscikit/week)
+
+  ## Installation and dependencies
+  You need a python interpeter installed on PC / Server. 
+  You need Python 3 (tested 3.6 - 3.7) to run this package. Other dependencies can be found in the requirements files
+
+  ### Using pip
+
+  You can install using the pip package manager by running
+
+      pip3.x install soscikit
+
+  ## Usage
+
+  You can start SoScikit by running
+
+      python3.x -m soscikit
+
+  it's start server and open your browser on localhost http://127.0.0.1:5555/
+
+
+  ## How to contribute
+
+  The package is actively maintained and developed as open-source software. If SoSciKit was helpful or interesting to you, you might want to get involved. There are several ways of contributing and helping. If you would like to be a industry partner or sponsor, please [drop us a line](mailto:scarselli@gmail.com).
+
+  ## Demo
+
+  You can try a [DEMO](http://soscikit.eu.pythonanywhere.com/)
+
+
+
+
+
+%prep
+%autosetup -n SoSciKit-0.4.0
+
+%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-SoSciKit -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.0-1
+- Package Spec generated