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Package Details: python-numpy-mkl 1.26.4-1

Package Actions

Git Clone URL:	https://aur.archlinux.org/python-numpy-mkl.git (read-only, click to copy)
Package Base:	python-numpy-mkl
Description:	Scientific tools for Python, compiled with Intel MKL
Upstream URL:	http://www.numpy.org/
Keywords:	numpy
Licenses:	custom
Conflicts:	python-numpy
Provides:	python-numpy
Submitter:	bred
Maintainer:	petronny (AutoUpdateBot)
Last Packager:	AutoUpdateBot
Votes:	38
Popularity:	0.000000
First Submitted:	2012-08-25 16:55 (UTC)
Last Updated:	2024-02-06 08:01 (UTC)

Dependencies (9)

intel-oneapi-mkl (intel-oneapi-hpckit^AUR, intel-oneapi-basekit)
python (python32^AUR, python37^AUR, python310^AUR)
cython (cython-git^AUR, cython0) (make)
meson-python (make)
procps-ng (procps-ng-git^AUR, busybox-coreutils^AUR) (make)
python-build (make)
python-installer (python-installer-git^AUR) (make)
python-hypothesis (check)
python-pytest (python-pytest7) (check)

Required by (1807)

aider-chat (requires python-numpy)
akhelper-git (requires python-numpy)
alsa-control (requires python-numpy)
amdfan (requires python-numpy)
amdgpu-fan (requires python-numpy)
amulet-map-editor (requires python-numpy)
amulet-map-editor-git (requires python-numpy)
apitrace-git (requires python-numpy)
apsynsim (requires python-numpy) (make)
archlinux-tweak-tool-git (requires python-numpy)
ardupilot-copter-sitl (requires python-numpy)
art-rawconverter-imageio (requires python-numpy)
artemis3 (requires python-numpy)
asammdf-git (requires python-numpy)
asus-numberpad-driver-b7402-git (requires python-numpy)
asus-numberpad-driver-b7402-non-unicode-git (requires python-numpy)
asus-numberpad-driver-b7402-unicode-git (requires python-numpy)
asus-numberpad-driver-e210ma-git (requires python-numpy)
asus-numberpad-driver-e210ma-non-unicode-git (requires python-numpy)
asus-numberpad-driver-e210ma-unicode-git (requires python-numpy)
Show 1787 more...

Sources (1)

https://github.com/numpy/numpy/releases/download/v1.26.4/numpy-1.26.4.tar.gz

Pinned Comments

petronny commented on 2022-09-28 08:28 (UTC)

Prebuilt binaries of this package can be found in arch4edu.

Latest Comments

« First ‹ Previous 1 2 3 4 5 6 7 8 Next › Last »

ibraheemmoosa commented on 2020-12-03 09:24 (UTC)

Does this work with the python-scipy package in the official arch repo? I installed this and then the python-scipy package from the official repo. But it seems that scipy is linked to lapack. When I try to import scipy.ndimage it gives error that it cannot find liblapack.so. Any solutions?

ibraheemmoosa commented on 2020-12-03 06:21 (UTC) (edited on 2020-12-03 06:28 (UTC) by ibraheemmoosa)

Okay I found a solution. In the PKGBUILD check() section I made the following changes.


-  PATH="$PWD/usr/bin:$PATH" PYTHONPATH="$PWD/usr/lib/python3.8/site-packages:$PYTHONPATH" python -c 'import numpy; numpy.test()'
+  PATH="$PWD/usr/bin:$PATH" PYTHONPATH="$PWD/usr/lib/python3.9/site-packages:$PYTHONPATH" python -c 'import numpy; numpy.test()'

ibraheemmoosa commented on 2020-12-03 05:56 (UTC) (edited on 2020-12-03 06:00 (UTC) by ibraheemmoosa)

I got this error :( What to do?


no previously-included directories found matching 'doc/build'
no previously-included directories found matching 'doc/source/generated'
no previously-included directories found matching 'benchmarks/env'
no previously-included directories found matching 'benchmarks/results'
no previously-included directories found matching 'benchmarks/html'
no previously-included directories found matching 'benchmarks/numpy'
warning: no previously-included files matching '*.pyo' found anywhere in distribution
warning: no previously-included files matching '*.pyd' found anywhere in distribution
warning: no previously-included files matching '*.swp' found anywhere in distribution
warning: no previously-included files matching '*.bak' found anywhere in distribution
warning: no previously-included files matching '*~' found anywhere in distribution
warning: no previously-included files found matching 'LICENSES_bundled.txt'
writing manifest file 'numpy.egg-info/SOURCES.txt'
removing '/home/ibraheemmoosa/AUR/python-numpy-mkl/src/numpy-1.19.4/tmp_install/usr/lib/python3.9/site-packages/numpy-1.19.4-py3.9.egg-info' (and everything under it)
Copying numpy.egg-info to /home/ibraheemmoosa/AUR/python-numpy-mkl/src/numpy-1.19.4/tmp_install/usr/lib/python3.9/site-packages/numpy-1.19.4-py3.9.egg-info
running install_scripts
Installing f2py script to /home/ibraheemmoosa/AUR/python-numpy-mkl/src/numpy-1.19.4/tmp_install/usr/bin
Installing f2py3 script to /home/ibraheemmoosa/AUR/python-numpy-mkl/src/numpy-1.19.4/tmp_install/usr/bin
Installing f2py3.9 script to /home/ibraheemmoosa/AUR/python-numpy-mkl/src/numpy-1.19.4/tmp_install/usr/bin
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'numpy'
==> ERROR: A failure occurred in check().
    Aborting...

petronny commented on 2020-08-05 11:48 (UTC)

@RunAndTumble Do you want to add icc back?

Building numpy with icc is introduced in https://software.intel.com/content/www/us/en/develop/articles/numpyscipy-with-intel-mkl.html and I think it's an official document.

We should always use the official way to build every package unless we have to patch it.

monson commented on 2020-07-27 18:17 (UTC)

@RunAndTumble Sorry, I thought you were too busy for that. icc support has been dropped because it doesn't accelerate much, the heavy computing parts are already using mkl. Also we don't need to deal with icc's license.

RunAndTumble commented on 2020-07-27 01:25 (UTC)

Eh, that was unexpected.

RunAndTumble commented on 2019-11-18 05:29 (UTC)

Sorry, folks, I'm finishing my thesis and barely had enough time for anything else. v1.17.4 based on python3.8 and the latest icc. I completely removed python2 support. One of the tests fails, I observed a similar issue before, I'll try to find the problem.

birchwhitebrain commented on 2019-11-17 16:23 (UTC)

Since python upgraded to 3.8.0, this package no longer works. I wonder if it will be updated soon?

RunAndTumble commented on 2019-04-26 23:23 (UTC)

v 1.16.3 is out, all test are fine

RunAndTumble commented on 2019-02-10 02:12 (UTC)

I've updated the package, waiting for 1.16.2 is pointless. One of the tests has to fail, according to github, this is just a bad test, should be removed in 1.16.2. I also plan to add a patch that allows to build scipy-mkl w/o any problems. However, I'm not sure that you can use distutils properly after that.