Initial import

3 files changed, 278 insertions, 0 deletions

diff --git a/.SRCINFO b/.SRCINFO
new file mode 100644
index 000000000000..16165bebd889
--- /dev/null
+++ b/.SRCINFO
@@ -0,0 +1,23 @@
+pkgbase = python-numpy-openblas
+	pkgdesc = Scientific tools for Python - built with openblas
+	pkgver = 1.9.2
+	pkgrel = 1
+	url = http://numpy.scipy.org/
+	arch = i686
+	arch = x86_64
+	license = custom
+	source = http://downloads.sourceforge.net/numpy/numpy-1.9.2.tar.gz
+	source = site.cfg
+	md5sums = a1ed53432dbcd256398898d35bc8e645
+	md5sums = 6f15bb8fe3d12faa8983a9e18bbea2a9
+
+pkgname = python-numpy-openblas
+	depends = python
+	depends = openblas-lapack
+	optdepends = python-nose: testsuite
+	provides = python3-numpy=1.9.2
+	provides = python-numpy=1.9.2
+	conflicts = python3-numpy
+	conflicts = python-numpy
+	options = staticlibs
+
diff --git a/PKGBUILD b/PKGBUILD
new file mode 100755
index 000000000000..947dc08a55f0
--- /dev/null
+++ b/PKGBUILD
@@ -0,0 +1,98 @@
+# Maintainer: xia0er <xia0er@gmail.com>
+# Contributor: Xyne <xyne@archlinux.ca>
+# Contributor: Jan de Groot <jgc@archlinux.org>
+# Contributor: Douglas Soares de Andrade <dsa@aur.archlinux.org>
+# Contributor: Angel "angvp" Velasquez <angvp[at]archlinux.com.ve> 
+
+_pkgname=numpy
+#pkgbase=python-numpy-openblas
+#pkgname=("python2-numpy-openblas" "python-numpy-openblas")
+pkgname=python-numpy-openblas
+pkgver=1.9.2
+pkgrel=1
+pkgdesc="Scientific tools for Python - built with openblas"
+arch=("i686" "x86_64")
+license=("custom")
+url="http://numpy.scipy.org/"
+source=("http://downloads.sourceforge.net/numpy/numpy-${pkgver}.tar.gz"
+        site.cfg
+       ) 
+
+md5sums=('a1ed53432dbcd256398898d35bc8e645'
+         '6f15bb8fe3d12faa8983a9e18bbea2a9')
+
+package() {
+  package_python-numpy-openblas
+}
+
+package_python2-numpy-openblas() {
+  depends=("python2" "openblas-lapack")
+  options=('staticlibs')
+  makedepends=("python2-distribute" "gcc-fortran" "python2-nose")
+  optdepends=("python2-nose: testsuite")
+  provides=("python2-numpy=${pkgver}")
+  conflicts=("python2-numpy")
+
+  export Atlas=None
+  export LDFLAGS="$LDFLAGS -shared"
+
+  cd "${srcdir}"
+  cp -a "$_pkgname-$pkgver"{,-py2}
+
+  echo "Building Python2"
+  cd "$_pkgname-$pkgver"-py2
+  cp ${startdir}/site.cfg .
+
+  python2 setup.py config_fc --fcompiler=gnu95 config
+  python2 setup.py config_fc --fcompiler=gnu95 build
+
+  python2 setup.py config_fc --fcompiler=gnu95 install \
+    --prefix=/usr --root="${pkgdir}" --optimize=1
+
+  install -m755 -d "${pkgdir}/usr/share/licenses/python2-numpy"
+  install -m644 LICENSE.txt "${pkgdir}/usr/share/licenses/python2-numpy/"
+
+  install -m755 -d "${pkgdir}/usr/include/python${_pyver}"
+  ln -sf /usr/lib/python${_pyver}/site-packages/numpy/core/include/numpy "${pkgdir}/usr/include/python${_pyver}/numpy"
+
+  sed -i -e "s|#![ ]*/usr/bin/python$|#!/usr/bin/python2|" \
+         -e "s|#![ ]*/usr/bin/env python$|#!/usr/bin/env python2|" \
+         -e "s|#![ ]*/bin/env python$|#!/usr/bin/env python2|" \
+             $(find ${pkgdir} -name "*.py")
+}
+
+package_python-numpy-openblas() {
+  depends=("python" "openblas-lapack")
+  options=('staticlibs')
+  makedepends=("python-distribute" "gcc-fortran" "python-nose")
+  optdepends=("python-nose: testsuite")
+  provides=("python3-numpy=${pkgver}" "python-numpy=${pkgver}")
+  conflicts=("python3-numpy" "python-numpy")
+
+  _pyver=3.4
+  _pyinc=3.4m
+
+  export Atlas=None
+  export LDFLAGS="$LDFLAGS -shared"
+
+  cd "$srcdir"
+  cp -a "$_pkgname-$pkgver"{,-py3}
+
+  echo "Building Python3"
+  cd "$_pkgname-$pkgver"-py3
+  cp ${startdir}/site.cfg .
+
+  python2 setup.py config_fc --fcompiler=gnu95 config
+  python2 setup.py config_fc --fcompiler=gnu95 build
+
+  python setup.py config_fc --fcompiler=gnu95 install \
+    --prefix=/usr --root="${pkgdir}" --optimize=1
+
+  install -m755 -d "${pkgdir}/usr/share/licenses/python-numpy"
+  install -m644 LICENSE.txt "${pkgdir}/usr/share/licenses/python-numpy/"
+
+  install -m755 -d "${pkgdir}/usr/include/python${_pyinc}"
+  ln -sf /usr/lib/python${_pyver}/site-packages/numpy/core/include/numpy "${pkgdir}/usr/include/python${_pyinc}/numpy"
+
+}
+
diff --git a/site.cfg b/site.cfg
new file mode 100755
index 000000000000..effb46f1102f
--- /dev/null
+++ b/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