forked from pool/python-colorspacious
Matej Cepl
e7a420b8c9
- Remove filler wording from description. OBS-URL: https://build.opensuse.org/request/show/615078 OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-colorspacious?expand=0&rev=4
75 lines
2.3 KiB
RPMSpec
75 lines
2.3 KiB
RPMSpec
#
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# spec file for package python-colorspacious
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#
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# Copyright (c) 2018 SUSE LINUX GmbH, Nuernberg, Germany.
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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 http://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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%bcond_without test
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Name: python-colorspacious
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Version: 1.1.0
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Release: 0
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Summary: Python library for doing colorspace conversions
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License: MIT
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Group: Development/Languages/Python
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Url: https://github.com/njsmith/colorspacious
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Source: https://files.pythonhosted.org/packages/source/c/colorspacious/colorspacious-%{version}.zip
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module numpy}
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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BuildRequires: unzip
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%if %{with test}
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BuildRequires: %{python_module nose}
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%endif
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Requires: python-numpy
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BuildArch: noarch
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%python_subpackages
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%description
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Colorspacious is a library for performing colorspace conversions.
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In addition to the most common standard colorspaces (sRGB, XYZ, xyY,
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CIELab, CIELCh), it also includes color vision deficiency ("color
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blindness") simulations using the approach of Machado et al (2009), a
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complete implementation of CIECAM02
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<https://en.wikipedia.org/wiki/CIECAM02>, and the perceptually
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uniform CAM02-UCS / CAM02-LCD / CAM02-SCD spaces proposed by Luo et al
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(2006).
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%prep
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%setup -q -n colorspacious-%{version}
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%build
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%python_build
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%install
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%if %{with test}
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%check
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%python_expand nosetests-%{$python_bin_suffix}
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%endif
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%files %{python_files}
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%doc README.rst
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%license LICENSE.txt
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%{python_sitelib}/*
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%changelog
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