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python-cotengra
python-cotengra.spec
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File python-cotengra.spec of Package python-cotengra
# # spec file for package python-cotengra # # Copyright (c) 2024 SUSE LLC # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via https://bugs.opensuse.org/ # Name: python-cotengra Version: 0.6.2 Release: 0 Summary: Hyper optimized contraction trees for large tensor networks and einsums License: Apache-2.0 URL: https://github.com/jcmgray/cotengra Source: https://files.pythonhosted.org/packages/source/c/cotengra/cotengra-%{version}.tar.gz BuildRequires: %{python_module pip} BuildRequires: %{python_module setuptools >= 45} BuildRequires: %{python_module setuptools_scm >= 6.2} BuildRequires: %{python_module wheel} BuildRequires: fdupes BuildRequires: python-rpm-macros Requires: python-autoray Recommends: python-cotengrust Recommends: python-cytoolz Recommends: python-kahypar Recommends: python-networkx Recommends: python-numpy Recommends: python-opt-einsum Recommends: python-optuna Recommends: python-ray # SECTION test requirements BuildRequires: %{python_module altair} BuildRequires: %{python_module autoray} BuildRequires: %{python_module dask} BuildRequires: %{python_module matplotlib} BuildRequires: %{python_module networkx} BuildRequires: %{python_module numpy} BuildRequires: %{python_module opt-einsum} BuildRequires: %{python_module pytest-xdist} BuildRequires: %{python_module pytest} BuildRequires: %{python_module seaborn} BuildRequires: %{python_module tqdm} # /SECTION BuildArch: noarch %python_subpackages %description A python library for contracting tensor networks or einsum expressions involving large numbers of tensors. Some of the key feautures of cotengra include: * drop-in einsum replacement * an explicit contraction tree object that can be flexibly built, modified and visualized * a 'hyper optimizer' that samples trees while tuning the generating meta-paremeters * dynamic slicing for massive memory savings and parallelism * support for hyper edge tensor networks and thus arbitrary einsum equations * paths that can be supplied to numpy.einsum, opt_einsum, quimb among others * performing contractions with tensors from many libraries via cotengra, even if they don't provide einsum or tensordot but do have (batch) matrix multiplication %prep %autosetup -p1 -n cotengra-%{version} sed -i '/addopts/d' pyproject.toml rm cotengra/.gitattributes # Note: ignore the rust files for now gh#jcmgray/cotengra#30 %build %pyproject_wheel %install %pyproject_install %python_expand %fdupes %{buildroot}%{$python_sitelib} %check %pytest -n auto %files %{python_files} %doc README.md %license LICENSE.md %{python_sitelib}/cotengra %{python_sitelib}/cotengra-%{version}.dist-info %changelog
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