File python-sparse.spec of Package python-sparse

#
# spec file for package python-sparse
#
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#
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%{?sle15_python_module_pythons}
Name:           python-sparse
Version:        0.14.0
Release:        0
Summary:        Sparse n-dimensional arrays for Python
License:        BSD-3-Clause
Group:          Development/Languages/Python
URL:            https://github.com/pydata/sparse
Source:         https://files.pythonhosted.org/packages/source/s/sparse/sparse-%{version}.tar.gz
BuildRequires:  %{python_module base >= 3.8}
BuildRequires:  %{python_module pip}
BuildRequires:  %{python_module setuptools}
BuildRequires:  %{python_module wheel}
# SECTION test requirements
BuildRequires:  %{python_module dask-array}
BuildRequires:  %{python_module numba >= 0.49}
BuildRequires:  %{python_module numpy >= 1.17}
BuildRequires:  %{python_module pytest}
BuildRequires:  %{python_module scipy >= 0.19}
# /SECTION
BuildRequires:  fdupes
BuildRequires:  python-rpm-macros
Requires:       python-numba >= 0.49
Requires:       python-numpy >= 1.17
Requires:       python-scipy >= 0.19
BuildArch:      noarch

%python_subpackages

%description
This module implements sparse multidimensional arrays on top of NumPy and
Scipy.sparse. It generalizes the scipy.sparse.coo_matrix layout, but
extends beyond just rows and columns to an arbitrary number of
dimensions.

The original motivation is for machine learning algorithms, but it is
intended for somewhat general use.

%prep
%autosetup -p1 -n sparse-%{version}

%build
%pyproject_wheel

%install
%pyproject_install
%python_expand %fdupes %{buildroot}%{$python_sitelib}

%check
# https://github.com/pydata/sparse/issues/594
donttest="test_tensordot"
# 32bit fails in half of the test suite because the tests try to convert to 64bit types
if [ $(getconf LONG_BIT) -eq 64 ]; then
%pytest -k "not ($donttest)"
fi

%files %{python_files}
%doc README.rst docs/*.rst
%license LICENSE
%{python_sitelib}/sparse
%{python_sitelib}/sparse-%{version}*-info

%changelog