93784b1b28
Update to 1.7.1 (forwarded request 174473 from TheBlackCat) OBS-URL: https://build.opensuse.org/request/show/174474 OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numpy?expand=0&rev=32
179 lines
6.1 KiB
RPMSpec
179 lines
6.1 KiB
RPMSpec
#
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# spec file for package python-numpy-doc
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#
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# Copyright (c) 2013 SUSE LINUX Products 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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%define modname numpy
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Name: python-%{modname}-doc
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%define docname numpydoc
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Version: 1.7.1
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Release: 0
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%define docvers 0.4
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Url: http://sourceforge.net/projects/numpy
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Summary: Documentation for python-numpy
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License: BSD-3-Clause
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Group: Development/Libraries/Python
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Source: %{modname}-%{version}.tar.gz
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Patch1: numpy-buildfix.patch
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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BuildRequires: blas-devel
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BuildRequires: lapack-devel
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BuildRequires: python-Sphinx
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BuildRequires: python-devel
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BuildRequires: python-matplotlib
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BuildRequires: python-numpy-devel
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BuildRequires: texlive-latex
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BuildRequires: zip
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Provides: python-numpydoc = %{version}
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Obsoletes: python-numpydoc < %{version}
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%if 0%{?suse_version}
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BuildRequires: fdupes
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BuildRequires: gcc-fortran
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%if 0%{?suse_version} <= 1110
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%{!?python_sitelib: %global python_sitelib %(python -c "from distutils.sysconfig import get_python_lib; print(get_python_lib())")}
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%else
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BuildArch: noarch
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%py_requires
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%endif
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%else
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BuildRequires: gcc-gfortran
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%endif
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%description
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NumPy is a general-purpose array-processing package designed to
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efficiently manipulate large multi-dimensional arrays of arbitrary
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records without sacrificing too much speed for small multi-dimensional
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arrays. NumPy is built on the Numeric code base and adds features
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introduced by numarray as well as an extended C-API and the ability to
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create arrays of arbitrary type which also makes NumPy suitable for
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interfacing with general-purpose data-base applications.
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There are also basic facilities for discrete fourier transform,
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basic linear algebra and random number generation.
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This package provides the documentation for NumPy
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%package html
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Summary: HTML documentation for python-%{modname}
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Group: Development/Libraries/Python
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Recommends: python-%{modname} = %{version}
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%description html
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NumPy is a general-purpose array-processing package designed to
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efficiently manipulate large multi-dimensional arrays of arbitrary
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records without sacrificing too much speed for small multi-dimensional
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arrays. NumPy is built on the Numeric code base and adds features
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introduced by numarray as well as an extended C-API and the ability to
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create arrays of arbitrary type which also makes NumPy suitable for
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interfacing with general-purpose data-base applications.
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There are also basic facilities for discrete fourier transform,
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basic linear algebra and random number generation.
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This package provides the HTML documentation for NumPy
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%package pdf
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Summary: PDF documentation for python-%{modname}
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Group: Development/Libraries/Python
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Recommends: python-%{modname} = %{version}
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%description pdf
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NumPy is a general-purpose array-processing package designed to
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efficiently manipulate large multi-dimensional arrays of arbitrary
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records without sacrificing too much speed for small multi-dimensional
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arrays. NumPy is built on the Numeric code base and adds features
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introduced by numarray as well as an extended C-API and the ability to
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create arrays of arbitrary type which also makes NumPy suitable for
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interfacing with general-purpose data-base applications.
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There are also basic facilities for discrete fourier transform,
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basic linear algebra and random number generation.
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This package provides the PDF documentation for NumPy
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%package -n python-numpydoc
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Summary: Custom extension for python-Sphinx from the python-numpy project
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Group: Development/Libraries/Python
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Requires: python-Sphinx
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%if 0%{?suse_version} > 1110
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%{py_requires}
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%endif
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%description -n python-numpydoc
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Numpy's documentation uses several custom extensions to Sphinx. These are
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shipped in this numpydoc package, in case you want to make use of them in
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third-party projects.
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The following extensions are available:
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- numpydoc: support for the Numpy docstring format in Sphinx, and add the code
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description directives np:function, np-c:function, etc. that support the Numpy
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docstring syntax.
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- numpydoc.traitsdoc: For gathering documentation about Traits attributes.
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- numpydoc.plot_directives: Adaptation of Matplotlib's plot:: directive. This
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implementation may still undergo severe changes or eventually be deprecated.
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- numpydoc.only_directives: (DEPRECATED)
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- numpydoc.autosummary: (DEPRECATED) An autosummary:: directive. Available in
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Sphinx 0.6.2 and (to-be) 1.0 as sphinx.ext.autosummary, and it the Sphinx 1.0
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version is recommended over that included in Numpydoc.
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%prep
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%setup -q -n %{modname}-%{version}
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%patch1 -p0
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%build
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# make the documentation
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cd doc
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make dist PYVER=%{py_ver}
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# make numpydoc
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cd sphinxext
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python setup.py build
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%install
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# install the documentation
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cd doc
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mkdir -p %{buildroot}%{_docdir}/python-%{modname}/{html,pdf}
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tar -xzf build/dist.tar.gz -C %{buildroot}%{_docdir}/python-%{modname}/html
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mv %{buildroot}%{_docdir}/python-%{modname}/html/*.pdf %{buildroot}%{_docdir}/python-%{modname}/pdf/
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%fdupes %{buildroot}%{_docdir}/python-%{modname}/html/
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%fdupes %{buildroot}%{_docdir}/python-%{modname}/pdf/
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# install numpydoc
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cd sphinxext
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python setup.py install --prefix=%{_prefix} --root=%{buildroot}
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%files html
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%defattr(-,root,root)
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%{_docdir}/python-%{modname}/html/
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%files pdf
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%defattr(-,root,root)
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%{_docdir}/python-%{modname}/pdf/
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%files -n python-numpydoc
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%defattr(-,root,root)
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%{python_sitelib}/%{docname}/
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%{python_sitelib}/%{docname}-%{docvers}-py%{py_ver}.egg-info/
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%changelog
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