testing/py-numpy: move to community

3 files changed, 221 insertions, 0 deletions

diff --git a/community/py-numpy/APKBUILD b/community/py-numpy/APKBUILD
new file mode 100644
index 0000000000..8738abb5ca
--- /dev/null
+++ b/community/py-numpy/APKBUILD
@@ -0,0 +1,55 @@
+# 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/community/py-numpy/numpy-1.11.0-musl.patch b/community/py-numpy/numpy-1.11.0-musl.patch
new file mode 100644
index 0000000000..da289f6407
--- /dev/null
+++ b/community/py-numpy/numpy-1.11.0-musl.patch
@@ -0,0 +1,9 @@
+--- 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/community/py-numpy/site.cfg b/community/py-numpy/site.cfg
new file mode 100644
index 0000000000..effb46f110
--- /dev/null
+++ b/community/py-numpy/site.cfg
@@ -0,0 +1,157 @@
+# 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