diff options
Diffstat (limited to 'community/py-numpy')
| -rw-r--r-- | community/py-numpy/APKBUILD | 102 | ||||
| -rw-r--r-- | community/py-numpy/fix-undefined-functions-on-big-endian-systems.patch | 35 | ||||
| -rw-r--r-- | community/py-numpy/numpy-1.11.0-musl.patch | 9 | ||||
| -rw-r--r-- | community/py-numpy/site.cfg | 157 |
4 files changed, 0 insertions, 303 deletions
diff --git a/community/py-numpy/APKBUILD b/community/py-numpy/APKBUILD deleted file mode 100644 index 002dd8d4b3..0000000000 --- a/community/py-numpy/APKBUILD +++ /dev/null @@ -1,102 +0,0 @@ -# Contributor: Francesco Colista <fcolista@alpinelinux.org> -# Contributor: Jakub Jirutka <jakub@jirutka.cz> -# Contributor: Martell Malone <martellmalone@gmail.com> -# Maintainer: Francesco Colista <fcolista@alpinelinux.org> -pkgname=py-numpy -_pkgname=numpy -pkgver=1.16.4 -pkgrel=1 -pkgdesc="Scientific tools for Python" -url="https://www.numpy.org/" -arch="all" -license="BSD-3-Clause" -options="!check" -makedepends="python2-dev py-setuptools python3-dev - cython openblas-dev>=0.3.0 gfortran py-nose" -subpackages="$pkgname-dev - $pkgname-doc - $pkgname-f2py::noarch - py2-$_pkgname-f2py:_f2py:noarch - py3-$_pkgname-f2py:_f2py:noarch - py2-$_pkgname:_py - py3-$_pkgname:_py" -source="https://github.com/numpy/numpy/releases/download/v$pkgver/$_pkgname-$pkgver.tar.gz - site.cfg" -builddir="$srcdir/$_pkgname-$pkgver" - -prepare() { - default_prepare - cp "$srcdir"/site.cfg "$builddir"/ -} - -build() { - export Atlas=None - LDFLAGS="$LDFLAGS -shared" - - python2 setup.py build config_fc --fcompiler=gnu95 - python3 setup.py build config_fc --fcompiler=gnu95 -} - -package() { - local python; for python in python2 python3; do - $python setup.py install --prefix=/usr --root="$pkgdir" \ - config_fc --fcompiler=gnu95 - done - - install -D -m 644 LICENSE.txt \ - "$pkgdir"/usr/share/licenses/$pkgname/LICENSE -} - -dev() { - cd "$pkgdir" - - # Move tests to -dev subpackage. - find usr/lib/python* -type d -name tests | while read path; do - mkdir -p "$subpkgdir/$path" - mv "$path"/* "$subpkgdir/$path"/ - done - - default_dev -} - -f2py() { - mkdir -p "$subpkgdir" -} - -_f2py() { - local pyver="${subpkgname:2:1}" - local python="python$pyver" - - pkgdesc="f2py for numpy (for $python)" - depends="py$pyver-numpy=$pkgver-r$pkgrel $python-dev" - install_if="$pkgname-f2py=$pkgver-r$pkgrel $python" - [ "$pyver" = 3 ] || replaces="$pkgname" - - local dir="$(_pylibdir $python)/site-packages/numpy" - - mkdir -p "$subpkgdir/$dir" "$subpkgdir"/usr/bin - mv "$pkgdir/$dir"/f2py "$subpkgdir/$dir"/ - mv "$pkgdir"/usr/bin/f2py$pyver "$subpkgdir"/usr/bin/ -} - -_py() { - local pyver="${subpkgname:2:1}" - local python="python$pyver" - - pkgdesc="$pkgdesc $pyver" - install_if="$pkgname=$pkgver-r$pkgrel $python" - [ "$pyver" = 3 ] || replaces="$pkgname" - - local libdir=$(_pylibdir $python) - - mkdir -p "$subpkgdir/$libdir" - mv "$pkgdir/$libdir"/* "$subpkgdir/$libdir"/ - rmdir -p "$pkgdir/$libdir" 2>/dev/null || true -} - -_pylibdir() { - "$1" -c 'import sysconfig; print(sysconfig.get_path("stdlib"))' -} - -sha512sums="427897a9e28a7e7648ebb0df8897a31c358fc5941773a120a534af6375d5963298f283185f36a7ac1c1e2b3511d2ba03d0779438acc849e1cf654f1454fc3c02 numpy-1.16.4.tar.gz -21ca8db304cbbf5949f07702f2a42bb5e5a0d641921e36649555a41b0e48f04e96f53760417823177ac27f6de24b2191e6e1d5f0eb393beafa29f7484e23284f site.cfg" diff --git a/community/py-numpy/fix-undefined-functions-on-big-endian-systems.patch b/community/py-numpy/fix-undefined-functions-on-big-endian-systems.patch deleted file mode 100644 index 9a965c59ab..0000000000 --- a/community/py-numpy/fix-undefined-functions-on-big-endian-systems.patch +++ /dev/null @@ -1,35 +0,0 @@ -From ec843c7008b3d89e6f6023b88ac0f1d02e39be17 Mon Sep 17 00:00:00 2001 -From: Elliott Sales de Andrade <quantum.analyst@gmail.com> -Date: Sat, 11 Aug 2018 02:45:01 -0400 -Subject: [PATCH] BUG: Fix undefined functions on big-endian systems. - -Both these functions are used by `Dragon4_PrintFloat_IEEE_binary128`, -which was recently made available on big-endian systems without these -in #11568. ---- - numpy/core/src/multiarray/dragon4.c | 5 +++-- - 1 file changed, 3 insertions(+), 2 deletions(-) - -diff --git a/numpy/core/src/multiarray/dragon4.c b/numpy/core/src/multiarray/dragon4.c -index abbf05220b1..2e599136efc 100644 ---- a/numpy/core/src/multiarray/dragon4.c -+++ b/numpy/core/src/multiarray/dragon4.c -@@ -114,7 +114,7 @@ LogBase2_64(npy_uint64 val) - return LogBase2_32((npy_uint32)val); - } - --#if defined(HAVE_LDOUBLE_IEEE_QUAD_LE) -+#if defined(HAVE_LDOUBLE_IEEE_QUAD_LE) || defined(HAVE_LDOUBLE_IEEE_QUAD_BE) - static npy_uint32 - LogBase2_128(npy_uint64 hi, npy_uint64 lo) - { -@@ -217,7 +217,8 @@ BigInt_Set_uint64(BigInt *i, npy_uint64 val) - - #if (defined(HAVE_LDOUBLE_IBM_DOUBLE_DOUBLE_LE) || \ - defined(HAVE_LDOUBLE_IBM_DOUBLE_DOUBLE_BE) || \ -- defined(HAVE_LDOUBLE_IEEE_QUAD_LE)) -+ defined(HAVE_LDOUBLE_IEEE_QUAD_LE) || \ -+ defined(HAVE_LDOUBLE_IEEE_QUAD_BE)) - static void - BigInt_Set_2x_uint64(BigInt *i, npy_uint64 hi, npy_uint64 lo) - { diff --git a/community/py-numpy/numpy-1.11.0-musl.patch b/community/py-numpy/numpy-1.11.0-musl.patch deleted file mode 100644 index da289f6407..0000000000 --- a/community/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/community/py-numpy/site.cfg b/community/py-numpy/site.cfg deleted file mode 100644 index effb46f110..0000000000 --- a/community/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 |