%global _empty_manifest_terminate_build 0
Name:		python-GANerAid
Version:	1.8
Release:	1
Summary:	GAN library to create and validate synthetic tabular data
License:	MIT License
URL:		https://github.com/TeamGenerAid/GANerAid
Source0:	https://mirrors.aliyun.com/pypi/web/packages/90/d5/2cb40ca04f5dd436fde14ed62cba80be25d4fc6fdd3b9c619b24ec0d1349/GANerAid-1.8.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-pandas
Requires:	python3-torch
Requires:	python3-scikit-learn
Requires:	python3-seaborn
Requires:	python3-tqdm
Requires:	python3-tab-gan-metrics
Requires:	python3-matplotlib

%description
GANerAid is a library meant to create synthetic clinical trials in order to anonymise and augment patient data in the field of medical science. The generated data are of the same statistical properties like as the original input data to reproduce the patient data in the best possible way without copying it.



%package -n python3-GANerAid
Summary:	GAN library to create and validate synthetic tabular data
Provides:	python-GANerAid
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-GANerAid
GANerAid is a library meant to create synthetic clinical trials in order to anonymise and augment patient data in the field of medical science. The generated data are of the same statistical properties like as the original input data to reproduce the patient data in the best possible way without copying it.



%package help
Summary:	Development documents and examples for GANerAid
Provides:	python3-GANerAid-doc
%description help
GANerAid is a library meant to create synthetic clinical trials in order to anonymise and augment patient data in the field of medical science. The generated data are of the same statistical properties like as the original input data to reproduce the patient data in the best possible way without copying it.



%prep
%autosetup -n GANerAid-1.8

%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-GANerAid -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.8-1
- Package Spec generated