%global _empty_manifest_terminate_build 0
Name:		python-coremltools
Version:	6.3.0
Release:	1
Summary:	Community Tools for Core ML
License:	BSD
URL:		https://github.com/apple/coremltools
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/b3/1d/fdd85a22cca286a85d48721a95b6f59976daa99b02e90f71351bf7f31db9/coremltools-6.3.0.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-protobuf
Requires:	python3-sympy
Requires:	python3-tqdm
Requires:	python3-packaging

%description
`Core ML <http://developer.apple.com/documentation/coreml>`_
is an Apple framework that allows developers to easily integrate
machine learning (ML) models into apps. Core ML is available on iOS, iPadOS,
watchOS, macOS, and tvOS. Core ML introduces a public file format (.mlmodel)
for a broad set of ML methods including deep neural networks (convolutional
and recurrent), tree ensembles (boosted trees, random forest, decision trees),
and generalized linear models. Core ML models can be directly integrated into
apps within Xcode.
the .mlmodel format. In particular, it can be used to:
- Convert trained models from popular machine learning tools into Core ML format
  (.mlmodel).
- Write models to Core ML format with a simple API.
- Making predictions using the Core ML framework (on select platforms) to
  verify conversion.

%package -n python3-coremltools
Summary:	Community Tools for Core ML
Provides:	python-coremltools
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-coremltools
`Core ML <http://developer.apple.com/documentation/coreml>`_
is an Apple framework that allows developers to easily integrate
machine learning (ML) models into apps. Core ML is available on iOS, iPadOS,
watchOS, macOS, and tvOS. Core ML introduces a public file format (.mlmodel)
for a broad set of ML methods including deep neural networks (convolutional
and recurrent), tree ensembles (boosted trees, random forest, decision trees),
and generalized linear models. Core ML models can be directly integrated into
apps within Xcode.
the .mlmodel format. In particular, it can be used to:
- Convert trained models from popular machine learning tools into Core ML format
  (.mlmodel).
- Write models to Core ML format with a simple API.
- Making predictions using the Core ML framework (on select platforms) to
  verify conversion.

%package help
Summary:	Development documents and examples for coremltools
Provides:	python3-coremltools-doc
%description help
`Core ML <http://developer.apple.com/documentation/coreml>`_
is an Apple framework that allows developers to easily integrate
machine learning (ML) models into apps. Core ML is available on iOS, iPadOS,
watchOS, macOS, and tvOS. Core ML introduces a public file format (.mlmodel)
for a broad set of ML methods including deep neural networks (convolutional
and recurrent), tree ensembles (boosted trees, random forest, decision trees),
and generalized linear models. Core ML models can be directly integrated into
apps within Xcode.
the .mlmodel format. In particular, it can be used to:
- Convert trained models from popular machine learning tools into Core ML format
  (.mlmodel).
- Write models to Core ML format with a simple API.
- Making predictions using the Core ML framework (on select platforms) to
  verify conversion.

%prep
%autosetup -n coremltools-6.3.0

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

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

%changelog
* Sun Apr 23 2023 Python_Bot <Python_Bot@openeuler.org> - 6.3.0-1
- Package Spec generated