Dirk Mueller
af10a0653d
* Make sure [r]matmul__ returns NotImplemented on invalid types. - Limit numpy to < 2. - skip python 3.6 build * Fix TypingError on sparse.dot with complex dtypes. (Issue #403, PR #404) * Improve the performance of sparse.dot. (Issue #331, PR #389, * Added multi-axis 1-D indexing support. (PR #343, thanks * Fix outer for arrays that weren’t one-dimensional. (Issue #346, * Fix for COO constructor accepting invalid inputs. (Issue #385, * Fixed a bug where converting an empty DOK array to COO leads to * Remove broadcasting restriction between sparse arrays and dense * Implement deterministic dask tokenization. (Issue #300, PR * Improve testing around densification (PR #321, thanks * Replace linear_loc with ravel_multi_index, which is 3x faster. * Add error msg to tensordot operation when ndim==0 (Issue #332, * Maintainence fixes for Sphinx 3.0 and Numba 0.49, and dropping * Fixed a bug where indexing with an empty list could lead to * Add the diagonal and diagonalize functions. (Issue #288, PR * Add stack and concatenate for GCXS. (Issue #301, PR #303, * Fix issue where functions dispatching to an attribute access * Add partial support for constructing and mirroring COO objects OBS-URL: https://build.opensuse.org/package/show/devel:languages:python:numeric/python-sparse?expand=0&rev=35
95 lines
2.7 KiB
RPMSpec
95 lines
2.7 KiB
RPMSpec
#
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# spec file for package python-sparse
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#
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# Copyright (c) 2025 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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%global flavor @BUILD_FLAVOR@%{nil}
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%if "%{flavor}" == ""
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%define psuffix %{nil}
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%bcond_with test
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BuildArch: noarch
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%else
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%bcond_without test
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%define psuffix -%{flavor}
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# 32bit fails in half of the test suite because the tests try to convert to 64bit types
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ExcludeArch: %{ix86} %{arm} ppc
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%endif
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%{?sle15_python_module_pythons}
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Name: python-sparse%{psuffix}
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Version: 0.15.5
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Release: 0
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Summary: Sparse n-dimensional arrays for Python
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License: BSD-3-Clause
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URL: https://github.com/pydata/sparse
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Source: https://files.pythonhosted.org/packages/source/s/sparse/sparse-%{version}.tar.gz
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BuildRequires: %{python_module base >= 3.8}
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BuildRequires: %{python_module pip}
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BuildRequires: %{python_module setuptools >= 64}
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BuildRequires: %{python_module setuptools_scm >= 8}
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BuildRequires: %{python_module wheel}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Requires: python-numba >= 0.49
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Requires: python-numpy >= 1.17
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Requires: python-scipy >= 0.19
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%if %{with test}
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BuildRequires: %{python_module dask-array}
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BuildRequires: %{python_module pytest-xdist}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module sparse = %{version}}
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%endif
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%python_subpackages
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%description
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This module implements sparse multidimensional arrays on top of NumPy and
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Scipy.sparse. It generalizes the scipy.sparse.coo_matrix layout, but
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extends beyond just rows and columns to an arbitrary number of
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dimensions.
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The original motivation is for machine learning algorithms, but it is
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intended for somewhat general use.
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%prep
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%autosetup -p1 -n sparse-%{version}
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sed -i /addopts/d pytest.ini
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%build
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%if !%{with test}
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%pyproject_wheel
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%endif
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%install
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%if !%{with test}
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%pyproject_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%endif
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%if %{with test}
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%check
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%pytest -n auto
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%endif
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%if !%{with test}
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%files %{python_files}
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%doc README.rst docs/*.rst
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%license LICENSE
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%{python_sitelib}/sparse
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%{python_sitelib}/sparse-%{version}.dist-info
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%endif
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%changelog
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