automatic import of python-coremltools

3 files changed, 118 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
index e69de29..ebef853 100644
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+++ b/.gitignore
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+/coremltools-6.3.0.tar.gz
diff --git a/python-coremltools.spec b/python-coremltools.spec
new file mode 100644
index 0000000..11bae9d
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+++ b/python-coremltools.spec
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+%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
+* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 6.3.0-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..e27b7ed
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+f042f39fbfb58be772185b92f725c2bb  coremltools-6.3.0.tar.gz