testing/py-numpy: move to community

3 files changed, 0 insertions, 221 deletions

diff --git a/testing/py-numpy/APKBUILD b/testing/py-numpy/APKBUILD
deleted file mode 100644
index 8738abb5ca..0000000000
--- a/testing/py-numpy/APKBUILD
+++ /dev/null
@@ -1,55 +0,0 @@
-# Contributor: Francesco Colista <fcolista@alpinelinux.org>
-# Maintainer: Francesco Colista <fcolista@alpinelinux.org>
-pkgname=py-numpy
-_pkgname=numpy
-pkgver=1.11.1
-pkgrel=0
-pkgdesc="Scientific tools for Python"
-url="http://numpy.scipy.org/"
-arch="all"
-license="BSD"
-depends="gfortran"
-depends_dev="python-dev openblas-dev py-setuptools py-nose cython-dev py-numpy"
-makedepends="$depends_dev"
-install=""
-subpackages="$pkgname-dev $pkgname-doc"
-source="http://downloads.sourceforge.net/$_pkgname/$_pkgname-$pkgver.tar.gz
-	numpy-1.11.0-musl.patch
-	site.cfg"
-
-_builddir="$srcdir"/$_pkgname-$pkgver
-prepare() {
-	local i
-	cd "$_builddir"
-	for i in $source; do
-		case $i in
-		*.patch) msg $i; patch -p1 -i "$srcdir"/$i || return 1;;
-		site.cfg) msg $i; cp "$srcdir"/$i ./ || return 1;;
-		esac
-	done
-}
-
-build() {
-	cd "$_builddir"
-	export Atlas=None
-	LDFLAGS="$LDFLAGS -shared"
-	python setup.py build config_fc --fcompiler=gnu95  || return 1
-}
-
-
-package() {
-	cd "$_builddir"
-	python setup.py install  --prefix=/usr --root="$pkgdir" config_fc --fcompiler=gnu95  || return 1
-	install -m755 -d "$pkgdir"/usr/share/licenses/custom/$pkgname
-	install -m644 LICENSE.txt "$pkgdir"/usr/share/licenses/custom/$pkgname/LICENSE
-}
-
-md5sums="2f44a895a8104ffac140c3a70edbd450  numpy-1.11.1.tar.gz
-a1ad56975b7d307d7c62cfb06963322b  numpy-1.11.0-musl.patch
-6f15bb8fe3d12faa8983a9e18bbea2a9  site.cfg"
-sha256sums="dc4082c43979cc856a2bf352a8297ea109ccb3244d783ae067eb2ee5b0d577cd  numpy-1.11.1.tar.gz
-e94f8d85b08de300a7402c8f4c7f6badbeb88964f45890c6c1aabfed9e3e1b88  numpy-1.11.0-musl.patch
-8aa71c1aec2a9fdf6ab6167c92e86bdaf27f9a263b6b9849097ec7dcdf6d91a3  site.cfg"
-sha512sums="4df9247c651b4fdeb51e94910d97cfceaa81e5acb81cb761dae6ccf8e78891ebe0ca67ed095b11d66fe52d64e6ea5328e72c124e5dcd8d6a7a98007ef60c55b2  numpy-1.11.1.tar.gz
-f8820c08754b5521e1a30b602bf87667459c96c1abfa78a4f54331c19ceec5e2f3108a20ba09fdf8089087296a4836dc32b2b47022efd90ade3de568aef9a1a7  numpy-1.11.0-musl.patch
-21ca8db304cbbf5949f07702f2a42bb5e5a0d641921e36649555a41b0e48f04e96f53760417823177ac27f6de24b2191e6e1d5f0eb393beafa29f7484e23284f  site.cfg"
diff --git a/testing/py-numpy/numpy-1.11.0-musl.patch b/testing/py-numpy/numpy-1.11.0-musl.patch
deleted file mode 100644
index da289f6407..0000000000
--- a/testing/py-numpy/numpy-1.11.0-musl.patch
+++ /dev/null
@@ -1,9 +0,0 @@
---- numpy-1.11.0.orig/numpy/core/src/multiarray/numpyos.c
-+++ numpy-1.11.0/numpy/core/src/multiarray/numpyos.c
-@@ -15,7 +15,7 @@
-
- #ifdef HAVE_STRTOLD_L
- #include <stdlib.h>
--#include <xlocale.h>
-+#include <locale.h>
- #endif
diff --git a/testing/py-numpy/site.cfg b/testing/py-numpy/site.cfg
deleted file mode 100644
index effb46f110..0000000000
--- a/testing/py-numpy/site.cfg
+++ /dev/null
@@ -1,157 +0,0 @@
-# This file provides configuration information about non-Python dependencies for
-# numpy.distutils-using packages. Create a file like this called "site.cfg" next
-# to your package's setup.py file and fill in the appropriate sections. Not all
-# packages will use all sections so you should leave out sections that your
-# package does not use.
-
-# To assist automatic installation like easy_install, the user's home directory
-# will also be checked for the file ~/.numpy-site.cfg .
-
-# The format of the file is that of the standard library's ConfigParser module.
-#
-#   http://www.python.org/doc/current/lib/module-ConfigParser.html
-#
-# Each section defines settings that apply to one particular dependency. Some of
-# the settings are general and apply to nearly any section and are defined here.
-# Settings specific to a particular section will be defined near their section.
-#
-#   libraries
-#       Comma-separated list of library names to add to compile the extension
-#       with. Note that these should be just the names, not the filenames. For
-#       example, the file "libfoo.so" would become simply "foo".
-#           libraries = lapack,f77blas,cblas,atlas
-#
-#   library_dirs
-#       List of directories to add to the library search path when compiling
-#       extensions with this dependency. Use the character given by os.pathsep
-#       to separate the items in the list. Note that this character is known to
-#       vary on some unix-like systems; if a colon does not work, try a comma.
-#       This also applies to include_dirs and src_dirs (see below).
-#       On UN*X-type systems (OS X, most BSD and Linux systems):
-#           library_dirs = /usr/lib:/usr/local/lib
-#       On Windows:
-#           library_dirs = c:\mingw\lib,c:\atlas\lib
-#       On some BSD and Linux systems:
-#           library_dirs = /usr/lib,/usr/local/lib
-#
-#   include_dirs
-#       List of directories to add to the header file earch path.
-#           include_dirs = /usr/include:/usr/local/include
-#
-#   src_dirs 
-#       List of directories that contain extracted source code for the
-#       dependency. For some dependencies, numpy.distutils will be able to build
-#       them from source if binaries cannot be found. The FORTRAN BLAS and
-#       LAPACK libraries are one example. However, most dependencies are more
-#       complicated and require actual installation that you need to do
-#       yourself.
-#           src_dirs = /home/rkern/src/BLAS_SRC:/home/rkern/src/LAPACK_SRC
-#
-#   search_static_first
-#       Boolean (one of (0, false, no, off) for False or (1, true, yes, on) for
-#       True) to tell numpy.distutils to prefer static libraries (.a) over
-#       shared libraries (.so). It is turned off by default.
-#           search_static_first = false
-
-# Defaults
-# ========
-# The settings given here will apply to all other sections if not overridden.
-# This is a good place to add general library and include directories like
-# /usr/local/{lib,include}
-#
-#[DEFAULT]
-#library_dirs = /usr/local/lib
-#include_dirs = /usr/local/include
-
-# Atlas
-# -----
-# Atlas is an open source optimized implementation of the BLAS and Lapack
-# routines. Numpy will try to build against Atlas by default when available in
-# the system library dirs. To build numpy against a custom installation of
-# Atlas you can add an explicit section such as the following. Here we assume
-# that Atlas was configured with ``prefix=/opt/atlas``.
-#
-# [atlas]
-# library_dirs = /opt/atlas/lib
-# include_dirs = /opt/atlas/include
-
-# OpenBLAS
-# --------
-# OpenBLAS is another open source optimized implementation of BLAS and Lapack
-# and can be seen as an alternative to Atlas. To build numpy against OpenBLAS
-# instead of Atlas, use this section instead of the above, adjusting as needed
-# for your configuration (in the following example we installed OpenBLAS with
-# ``make install PREFIX=/opt/OpenBLAS``.
-#
-# **Warning**: OpenBLAS, by default, is built in multithreaded mode. Due to the
-# way Python's multiprocessing is implemented, a multithreaded OpenBLAS can
-# cause programs using both to hang as soon as a worker process is forked on
-# POSIX systems (Linux, Mac).
-# This is fixed in Openblas 0.2.9 for the pthread build, the OpenMP build using
-# GNU openmp is as of gcc-4.9 not fixed yet.
-# Python 3.4 will introduce a new feature in multiprocessing, called the
-# "forkserver", which solves this problem. For older versions, make sure
-# OpenBLAS is built using pthreads or use Python threads instead of
-# multiprocessing.
-# (This problem does not exist with multithreaded ATLAS.)
-#
-# http://docs.python.org/3.4/library/multiprocessing.html#contexts-and-start-methods
-# https://github.com/xianyi/OpenBLAS/issues/294
-#
-[openblas]
-libraries = openblas
-library_dirs = /usr/lib
-include_dirs = /usr/include
-
-# MKL
-#----
-# MKL is Intel's very optimized yet proprietary implementation of BLAS and
-# Lapack.
-# For recent (9.0.21, for example) mkl, you need to change the names of the
-# lapack library. Assuming you installed the mkl in /opt, for a 32 bits cpu:
-# [mkl]
-# library_dirs = /opt/intel/mkl/9.1.023/lib/32/
-# lapack_libs = mkl_lapack
-#
-# For 10.*, on 32 bits machines:
-# [mkl]
-# library_dirs = /opt/intel/mkl/10.0.1.014/lib/32/
-# lapack_libs = mkl_lapack
-# mkl_libs = mkl, guide
-
-# UMFPACK
-# -------
-# The UMFPACK library is used in scikits.umfpack to factor large sparse matrices. 
-# It, in turn, depends on the AMD library for reordering the matrices for
-# better performance.  Note that the AMD library has nothing to do with AMD
-# (Advanced Micro Devices), the CPU company.
-#
-# UMFPACK is not needed for numpy or scipy.
-#
-#   http://www.cise.ufl.edu/research/sparse/umfpack/
-#   http://www.cise.ufl.edu/research/sparse/amd/
-#   http://scikits.appspot.com/umfpack
-#
-#[amd]
-#amd_libs = amd
-#
-#[umfpack]
-#umfpack_libs = umfpack
-
-# FFT libraries
-# -------------
-# There are two FFT libraries that we can configure here: FFTW (2 and 3) and djbfft.
-# Note that these libraries are not needed for numpy or scipy.
-#
-#   http://fftw.org/
-#   http://cr.yp.to/djbfft.html
-#
-# Given only this section, numpy.distutils will try to figure out which version
-# of FFTW you are using.
-#[fftw]
-#libraries = fftw3
-#
-# For djbfft, numpy.distutils will look for either djbfft.a or libdjbfft.a . 
-#[djbfft]
-#include_dirs = /usr/local/djbfft/include
-#library_dirs = /usr/local/djbfft/lib