File python-MulticoreTSNE.spec of Package python-MulticoreTSNE

# spec file for package python-MulticoreTSNE
# Copyright (c) 2018 SUSE LINUX GmbH, Nuernberg, Germany.
# 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

%{?!python_module:%define python_module() python-%{**} python3-%{**}}
Name:           python-MulticoreTSNE
Release:        0
Summary:        Multicore version of t-SNE algorithm
License:        BSD-3-Clause
Group:          Development/Languages/Python
BuildRequires:  %{python_module devel}
BuildRequires:  %{python_module setuptools}
BuildRequires:  c++_compiler
BuildRequires:  cmake
BuildRequires:  fdupes
BuildRequires:  python-rpm-macros
BuildRequires:  unzip
Requires:       python-cffi
Requires:       python-numpy
Recommends:     python-scikit-learn
Recommends:     python-scipy
# SECTION test requirements
BuildRequires:  %{python_module cffi}
BuildRequires:  %{python_module numpy}
BuildRequires:  %{python_module scikit-learn}
BuildRequires:  %{python_module scipy}

This is a multicore modification of Barnes-Hut t-distributed
Stochastic Neighbor Embedding (t-SNE). It is implemented using Python
and Torch CFFI-based wrappers.

%setup -q -n MulticoreTSNE-%{version}

export CFLAGS="%{optflags}"

%python_expand %fdupes %{buildroot}%{$python_sitearch}

pushd MulticoreTSNE/tests
%{python_expand export PYTHONPATH=%{buildroot}%{$python_sitearch}
$python -m unittest discover -v .

%files %{python_files}
%license LICENSE.txt

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