%global _empty_manifest_terminate_build 0
Name:		python-interpretableai
Version:	2.10.0
Release:	1
Summary:	Interface to Interpretable AI modules in Python
License:	MIT
URL:		https://docs.interpretable.ai/stable/IAI-Python/
Source0:	https://mirrors.aliyun.com/pypi/web/packages/c6/8b/efcc9fbe26f55e3c8406af898e2a6daea1b30a5c98b3087fc1717cb0bb48/interpretableai-2.10.0.tar.gz
BuildArch:	noarch


%description
# Interpretable AI Python Interface

`interpretableai` is a Python package that provides an interface to Interpretable AI algorithms. Through this package, you can utilize the following modules directly in Python:

- Optimal Predictive Trees (classification and regression)
- Optimal Imputation
- Optimal Prescriptive Trees
- Optimal Survival Trees

## Using the Package

Please see the [package documentation](https://docs.interpretable.ai/stable/IAI-Python/) for guides on setting up and using the package.

%package -n python3-interpretableai
Summary:	Interface to Interpretable AI modules in Python
Provides:	python-interpretableai
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-interpretableai
# Interpretable AI Python Interface

`interpretableai` is a Python package that provides an interface to Interpretable AI algorithms. Through this package, you can utilize the following modules directly in Python:

- Optimal Predictive Trees (classification and regression)
- Optimal Imputation
- Optimal Prescriptive Trees
- Optimal Survival Trees

## Using the Package

Please see the [package documentation](https://docs.interpretable.ai/stable/IAI-Python/) for guides on setting up and using the package.

%package help
Summary:	Development documents and examples for interpretableai
Provides:	python3-interpretableai-doc
%description help
# Interpretable AI Python Interface

`interpretableai` is a Python package that provides an interface to Interpretable AI algorithms. Through this package, you can utilize the following modules directly in Python:

- Optimal Predictive Trees (classification and regression)
- Optimal Imputation
- Optimal Prescriptive Trees
- Optimal Survival Trees

## Using the Package

Please see the [package documentation](https://docs.interpretable.ai/stable/IAI-Python/) for guides on setting up and using the package.

%prep
%autosetup -n interpretableai-2.10.0

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

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

%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 2.10.0-1
- Package Spec generated