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openSUSE:12.2
python3-numpy
python-numpy-doc.spec
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File python-numpy-doc.spec of Package python3-numpy
# # spec file for package python-numpy-doc # # Copyright (c) 2012 SUSE LINUX Products 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 http://bugs.opensuse.org/ # %define modname numpy Name: python-%{modname}-doc %define docname numpydoc Version: 1.6.2 %define docvers 0.4 Release: 0 Url: http://sourceforge.net/projects/numpy Summary: Documentation for python-numpy License: BSD-3-Clause Group: Development/Libraries/Python Source: %{modname}-%{version}.tar.gz Patch1: numpy-buildfix.patch BuildRoot: %{_tmppath}/%{name}-%{version}-build BuildRequires: python-devel BuildRequires: python-Sphinx BuildRequires: python-matplotlib BuildRequires: python-numpy-devel BuildRequires: blas-devel BuildRequires: lapack-devel BuildRequires: texlive-latex BuildRequires: zip Provides: python-numpydoc = %{version} Obsoletes: python-numpydoc < %{version} %if 0%{?suse_version} BuildRequires: gcc-fortran BuildRequires: fdupes %if 0%{?suse_version} <= 1110 %{!?python_sitelib: %global python_sitelib %(python -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())")} %else BuildArch: noarch %py_requires %endif %else BuildRequires: gcc-gfortran %endif %description NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. This package provides the documentation for NumPy %package html Summary: HTML documentation for python-%{modname} Group: Development/Libraries/Python Recommends: python-%{modname} = %{version} %description html NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. This package provides the HTML documentation for NumPy %package pdf Summary: PDF documentation for python-%{modname} Group: Development/Libraries/Python Recommends: python-%{modname} = %{version} %description pdf NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as well as an extended C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose data-base applications. There are also basic facilities for discrete fourier transform, basic linear algebra and random number generation. This package provides the PDF documentation for NumPy %package -n python-numpydoc Summary: Custom extension for python-Sphinx from the python-numpy project Group: Development/Libraries/Python Requires: python-Sphinx %if 0%{?suse_version} > 1110 %{py_requires} %endif %description -n python-numpydoc Numpy's documentation uses several custom extensions to Sphinx. These are shipped in this numpydoc package, in case you want to make use of them in third-party projects. The following extensions are available: - numpydoc: support for the Numpy docstring format in Sphinx, and add the code description directives np:function, np-c:function, etc. that support the Numpy docstring syntax. - numpydoc.traitsdoc: For gathering documentation about Traits attributes. - numpydoc.plot_directives: Adaptation of Matplotlib's plot:: directive. This implementation may still undergo severe changes or eventually be deprecated. - numpydoc.only_directives: (DEPRECATED) - numpydoc.autosummary: (DEPRECATED) An autosummary:: directive. Available in Sphinx 0.6.2 and (to-be) 1.0 as sphinx.ext.autosummary, and it the Sphinx 1.0 version is recommended over that included in Numpydoc. %prep %setup -q -n %{modname}-%{version} %patch1 -p0 %build # make the documentation cd doc make dist PYVER=%{py_ver} # make numpydoc cd sphinxext python setup.py build %install # install the documentation cd doc mkdir -p %{buildroot}%{_docdir}/python-%{modname}/{html,pdf} tar -xzf build/dist.tar.gz -C %{buildroot}%{_docdir}/python-%{modname}/html mv %{buildroot}%{_docdir}/python-%{modname}/html/*.pdf %{buildroot}%{_docdir}/python-%{modname}/pdf/ %fdupes %{buildroot}%{_docdir}/python-%{modname}/html/ %fdupes %{buildroot}%{_docdir}/python-%{modname}/pdf/ # install numpydoc cd sphinxext python setup.py install --prefix=%{_prefix} --root=%{buildroot} %files html %defattr(-,root,root) %{_docdir}/python-%{modname}/html/ %files pdf %defattr(-,root,root) %{_docdir}/python-%{modname}/pdf/ %files -n python-numpydoc %defattr(-,root,root) %{_bindir}/autosummary_generate %{python_sitelib}/%{docname}/ %{python_sitelib}/%{docname}-%{docvers}-py%{py_ver}.egg-info/ %changelog
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