%global _empty_manifest_terminate_build 0
Name:		python-imbalanced-learn
Version:	0.10.1
Release:	1
Summary:	Toolbox for imbalanced dataset in machine learning.
License:	MIT
URL:		https://github.com/scikit-learn-contrib/imbalanced-learn
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/be/91/2af86542b2de8fee503612d193903186514c1e248579b42056473d0eb358/imbalanced-learn-0.10.1.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-scipy
Requires:	python3-scikit-learn
Requires:	python3-joblib
Requires:	python3-threadpoolctl
Requires:	python3-pandas
Requires:	python3-tensorflow
Requires:	python3-keras
Requires:	python3-matplotlib
Requires:	python3-seaborn
Requires:	python3-memory-profiler
Requires:	python3-sphinx
Requires:	python3-sphinx-gallery
Requires:	python3-numpydoc
Requires:	python3-sphinxcontrib-bibtex
Requires:	python3-pydata-sphinx-theme
Requires:	python3-pandas
Requires:	python3-tensorflow
Requires:	python3-keras
Requires:	python3-matplotlib
Requires:	python3-seaborn
Requires:	python3-pandas
Requires:	python3-tensorflow
Requires:	python3-keras
Requires:	python3-pandas
Requires:	python3-tensorflow
Requires:	python3-keras
Requires:	python3-pytest
Requires:	python3-pytest-cov
Requires:	python3-flake8
Requires:	python3-black
Requires:	python3-mypy

%description
imbalanced-learn is a python package offering a number of re-sampling techniques
commonly used in datasets showing strong between-class imbalance.
It is compatible with scikit-learn_ and is part of scikit-learn-contrib_
projects.

%package -n python3-imbalanced-learn
Summary:	Toolbox for imbalanced dataset in machine learning.
Provides:	python-imbalanced-learn
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-imbalanced-learn
imbalanced-learn is a python package offering a number of re-sampling techniques
commonly used in datasets showing strong between-class imbalance.
It is compatible with scikit-learn_ and is part of scikit-learn-contrib_
projects.

%package help
Summary:	Development documents and examples for imbalanced-learn
Provides:	python3-imbalanced-learn-doc
%description help
imbalanced-learn is a python package offering a number of re-sampling techniques
commonly used in datasets showing strong between-class imbalance.
It is compatible with scikit-learn_ and is part of scikit-learn-contrib_
projects.

%prep
%autosetup -n imbalanced-learn-0.10.1

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

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

%changelog
* Thu Mar 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.10.1-1
- Package Spec generated