pool/python-numpy
SHA256
4
0
Fork 1
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
python-numpy/python-numpy-doc.spec
Dominique Leuenberger d68f7cec03 Accepting request 426983 from devel:languages:python 
- use pypi.io as Source URL

- Don't include cblas-devel on SLES 12

- update to 1.11.1:
  - #7506 BUG: Make sure numpy imports on python 2.6 when nose is unavailable.
  - #7530 BUG: Floating exception with invalid axis in np.lexsort.
  - #7535 BUG: Extend glibc complex trig functions blacklist to glibc < 2.18.
  - #7551 BUG: Allow graceful recovery for no compiler.
  - #7558 BUG: Constant padding expected wrong type in constant_values.
  - #7578 BUG: Fix OverflowError in Python 3.x. in swig interface.
  - #7590 BLD: Fix configparser.InterpolationSyntaxError.
  - #7597 BUG: Make np.ma.take work on scalars.
  - #7608 BUG: linalg.norm(): Don't convert object arrays to float.
  - #7638 BLD: Correct C compiler customization in system_info.py.
  - #7654 BUG: ma.median of 1d array should return a scalar.
  - #7656 BLD: Remove hardcoded Intel compiler flag -xSSE4.2.
  - #7660 BUG: Temporary fix for str(mvoid) for object field types.
  - #7665 BUG: Fix incorrect printing of 1D masked arrays.
  - #7670 BUG: Correct initial index estimate in histogram.
  - #7671 BUG: Boolean assignment no GIL release when transfer needs API.
  - #7676 BUG: Fix handling of right edge of final histogram bin.
  - #7680 BUG: Fix np.clip bug NaN handling for Visual Studio 2015.
  - #7724 BUG: Fix segfaults in np.random.shuffle.
  - #7731 MAINT: Change mkl_info.dir_env_var from MKL to MKLROOT.

OBS-URL: https://build.opensuse.org/request/show/426983
OBS-URL: https://build.opensuse.org/package/show/openSUSE:Factory/python-numpy?expand=0&rev=50
2016-09-17 12:34:03 +00:00

179 lines
6.0 KiB
RPMSpec
Raw Blame History

#
# spec file for package python-numpy-doc
#
# Copyright (c) 2016 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/
#
%define modname numpy
%define docname numpydoc
%define docvers 0.4
%if 0%{?suse_version}
%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
BuildRequires: fdupes
BuildRequires: gcc-fortran
%else
BuildRequires: gcc-gfortran
%endif
Name: python-numpy-doc
Version: 1.11.1
Release: 0
Summary: Documentation for python-numpy
License: BSD-3-Clause
Group: Development/Libraries/Python
Url: http://www.numpy.org/
Source: https://pypi.io/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
# PATCH-FIX-OPENSUSE numpy-1.10.4-cblas.patch -- fix for building with system cblas.
Patch2: numpy-1.10.4-cblas.patch
BuildRequires: blas-devel
BuildRequires: lapack-devel
BuildRequires: python-Sphinx
BuildRequires: python-devel
BuildRequires: python-matplotlib
BuildRequires: python-numpy-devel = %{version}
BuildRequires: python-numpydoc
BuildRequires: python-setuptools
BuildRequires: zip
BuildRoot: %{_tmppath}/%{name}-%{version}-build
%if 0%{?suse_version} > 1320 || 0%{?suse_version} == 1315
BuildRequires: cblas-devel
%endif
# LaTeX requirements, not available on SLES
%if 0%{?suse_version} > 1110 && 0%{?suse_version} != 1315
BuildRequires: python-Sphinx-latex
BuildRequires: tex(a4wide.sty)
BuildRequires: tex(abstract.sty)
BuildRequires: tex(amsmath.sty)
BuildRequires: tex(article.cls)
BuildRequires: tex(epsfig.sty)
BuildRequires: tex(expdlist.sty)
BuildRequires: tex(verbatim.sty)
BuildRequires: tex(xspace.sty)
%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-numpy
Group: Development/Libraries/Python
Recommends: python-numpy = %{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-numpy
Group: Development/Libraries/Python
Recommends: python-numpy = %{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
%prep
%setup -q -n numpy-%{version}
%patch0 -p1
%patch1 -p1
%if 0%{?suse_version} > 1320 || 0%{?suse_version} == 1315
%patch2 -p1
%endif
# drop build date from doc to fix build-compare
sed -i "s/\(html_last_updated_fmt = \).*/\\1None/" doc/source/conf.py
%build
# make the documentation
pushd doc
make html PYVER=%{py_ver}
popd
# LaTeX building currently broken
# %if 0%{?suse_version} > 1110 && 0%{?suse_version} != 1315
# pushd doc
# make latex PYVER=%{py_ver}
# make -C build/latex all-pdf PYVER=%{py_ver}
# popd
# %endif
%install
# install the documentation
mkdir -p %{buildroot}%{_docdir}/python-numpy/
pushd doc/build
cp -r html %{buildroot}%{_docdir}/python-numpy/
popd
%fdupes %{buildroot}%{_docdir}/python-numpy/html/
# LaTeX building currently broken
# %if 0%{?suse_version} > 1110 && 0%{?suse_version} != 1315
# pushd doc/build
# cp -r pdf %{buildroot}%{_docdir}/python-numpy/
# popd
# %fdupes %{buildroot}%{_docdir}/python-numpy/pdf/
# %endif
%files html
%defattr(-,root,root)
%{_docdir}/python-numpy/html/
# LaTeX building currently broken
# %if 0%{?suse_version} > 1110 && 0%{?suse_version} != 1315
# %files pdf
# %defattr(-,root,root)
# %{_docdir}/python-numpy/pdf/
# %endif
%changelog
Reference in New Issue View Git Blame Copy Permalink