Guillaume GARDET
ef25b78be8
- Add opt_einsum-pr208-configparser.patch * gh#dgasmith/opt_einsum#208 - Build wheel with PEP517 - Clean obsolete flavor skips - Don't catchall sitelib files OBS-URL: https://build.opensuse.org/request/show/1146184 OBS-URL: https://build.opensuse.org/package/show/science:machinelearning/python-opt-einsum?expand=0&rev=9
71 lines
2.5 KiB
RPMSpec
71 lines
2.5 KiB
RPMSpec
#
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# spec file for package python-opt-einsum
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#
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# Copyright (c) 2024 SUSE LLC
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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Name: python-opt-einsum
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Version: 3.3.0
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Release: 0
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Summary: Optimizing numpys einsum function
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License: MIT
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URL: https://github.com/dgasmith/opt_einsum
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Source: https://files.pythonhosted.org/packages/source/o/opt_einsum/opt_einsum-%{version}.tar.gz
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# PATCH-FIX-UPSTREAM opt_einsum-pr208-configparser.patch gh#dgasmith/opt_einsum#208
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Patch0: https://github.com/dgasmith/opt_einsum/pull/208.patch#/opt_einsum-pr208-configparser.patch
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BuildRequires: %{python_module numpy >= 1.7}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module setuptools}
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BuildRequires: %{python_module wheel}
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Requires: python-numpy >= 1.7
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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BuildArch: noarch
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%python_subpackages
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%description
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Optimized einsum can significantly reduce the overall execution time of einsum-like expressions (e.g.,
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`np.einsum`,`dask.array.einsum`,`pytorch.einsum`,`tensorflow.einsum`)
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by optimizing the expression's contraction order and dispatching many
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operations to canonical BLAS, cuBLAS, or other specialized routines. Optimized
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einsum is agnostic to the backend and can handle NumPy, Dask, PyTorch,
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Tensorflow, CuPy, Sparse, Theano, JAX, and Autograd arrays as well as potentially
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any library which conforms to a standard API. See the
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[**documentation**](http://optimized-einsum.readthedocs.io) for more
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information.
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%prep
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%autosetup -p1 -n opt_einsum-%{version}
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sed -i '1{/^#!/d}' opt_einsum/parser.py
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%build
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%pyproject_wheel
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%install
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%pyproject_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%check
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%pytest
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%files %{python_files}
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%doc README.md
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%license LICENSE
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%{python_sitelib}/opt_einsum
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%{python_sitelib}/opt_einsum-%{version}.dist-info
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%changelog
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