File _service:obs_scm:python-opt-einsum.spec of Package python-opt-einsum

%global _empty_manifest_terminate_build 0
Name:		python-opt-einsum
Version:	3.3.0
Release:	1
Summary:	Optimizing numpys einsum function
License:	MIT
URL:		https://github.com/dgasmith/opt_einsum
Source0:	https://files.pythonhosted.org/packages/7d/bf/9257e53a0e7715bc1127e15063e831f076723c6cd60985333a1c18878fb8/opt_einsum-3.3.0.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-sphinx
Requires:	python3-sphinxcontrib-napoleon
Requires:	python3-sphinx-rtd-theme
Requires:	python3-numpydoc
Requires:	python3-pytest
Requires:	python3-pytest-cov
Requires:	python3-pytest-pep8

%description
Optimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g.,
[`np.einsum`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html),
[`dask.array.einsum`](https://docs.dask.org/en/latest/array-api.html#dask.array.einsum),
[`pytorch.einsum`](https://pytorch.org/docs/stable/torch.html#torch.einsum),
[`tensorflow.einsum`](https://www.tensorflow.org/api_docs/python/tf/einsum),
)
by optimizing the expression's contraction order and dispatching many
operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized
einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch,
Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially
any library which conforms to a standard API. See the
[**documentation**](http://optimized-einsum.readthedocs.io) for more
information.

%package -n python3-opt-einsum
Summary:	Optimizing numpys einsum function
Provides:	python-opt-einsum
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
%description -n python3-opt-einsum
Optimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g.,
[`np.einsum`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html),
[`dask.array.einsum`](https://docs.dask.org/en/latest/array-api.html#dask.array.einsum),
[`pytorch.einsum`](https://pytorch.org/docs/stable/torch.html#torch.einsum),
[`tensorflow.einsum`](https://www.tensorflow.org/api_docs/python/tf/einsum),
)
by optimizing the expression's contraction order and dispatching many
operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized
einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch,
Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially
any library which conforms to a standard API. See the
[**documentation**](http://optimized-einsum.readthedocs.io) for more
information.

%package help
Summary:	Development documents and examples for opt-einsum
Provides:	python3-opt-einsum-doc
%description help
Optimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g.,
[`np.einsum`](https://docs.scipy.org/doc/numpy/reference/generated/numpy.einsum.html),
[`dask.array.einsum`](https://docs.dask.org/en/latest/array-api.html#dask.array.einsum),
[`pytorch.einsum`](https://pytorch.org/docs/stable/torch.html#torch.einsum),
[`tensorflow.einsum`](https://www.tensorflow.org/api_docs/python/tf/einsum),
)
by optimizing the expression's contraction order and dispatching many
operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized
einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch,
Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially
any library which conforms to a standard API. See the
[**documentation**](http://optimized-einsum.readthedocs.io) for more
information.

%prep
%autosetup -n opt_einsum-3.3.0

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

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

%changelog
* Sun Oct 04 2020 Python_Bot <Python_Bot@openeuler.org>
- Package Spec generated