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openSUSE:Leap:42.3:Rings:2-TestDVD
python3-numpy
python3-numpy-doc.spec
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File python3-numpy-doc.spec of Package python3-numpy
# # spec file for package python3-numpy-doc # # Copyright (c) 2015 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 http://bugs.opensuse.org/ # Name: python3-numpy-doc Version: 1.9.3 Release: 0 Url: http://www.numpy.org/ Summary: Documentation for python3-numpy License: BSD-3-Clause Group: Development/Libraries/Python Source: https://pypi.python.org/packages/source/n/numpy/numpy-%{version}.tar.gz # PATCH-FIX-OPENSUSE numpy-buildfix.patch -- openSUSE-specific build fixes Patch0: numpy-buildfix.patch # PATCH-FIX-OPENSUSE numpy-1.9.0-remove-__declspec.patch -- fix for spurious compiler warnings that cause build failure Patch1: numpy-1.9.0-remove-__declspec.patch BuildRoot: %{_tmppath}/%{name}-%{version}-build BuildRequires: python3-Sphinx BuildRequires: python3-devel BuildRequires: python3-doc BuildRequires: python3-matplotlib BuildRequires: python3-numpy-devel BuildRequires: python3-numpydoc BuildRequires: python3-pyparsing BuildArch: noarch Recommends: python3-numpy Provides: python3-numpy-doc-html = 1.7.1 Obsoletes: python3-numpy-doc-html < 1.7.1 Provides: python3-numpy-doc-pdf = 1.7.1 Obsoletes: python3-numpy-doc-pdf < 1.7.1 %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 %prep %setup -q -n numpy-%{version} %patch0 -p1 %patch1 -p1 # Patch in intersphinx file from pytho3-doc: sed -i "s|'http://docs.python.org/dev': None|'http://docs.python.org/dev': '/usr/share/doc/packages/python3/html/objects.inv'|" doc/source/conf.py # Avoid autosummary extensions, summaries are incomplete and it would fail: sed -i "s|, 'sphinx.ext.autosummary'||" doc/source/conf.py %build cd doc 2to3 -wvn . make html PYVER=%{py3_ver} %install %files %defattr(-,root,root) %doc doc/build/html %changelog
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