Package Details: python2-numpy-mkl 1.15.0-1

Git Clone URL: (read-only)
Package Base: python-numpy-mkl
Description: Scientific tools for Python compiled with intel mkl
Upstream URL:
Keywords: numpy
Licenses: custom
Conflicts: python2-numpy
Provides: python2-numpy=1.15.0
Replaces: python2-numpy
Submitter: bred
Maintainer: bred
Last Packager: bred
Votes: 29
Popularity: 0.682118
First Submitted: 2012-08-25 16:55
Last Updated: 2018-08-11 09:39

Dependencies (11)

Required by (495)

Sources (3)

Latest Comments

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petronny commented on 2018-09-30 10:43

1.15.2 is out.

L0ric0 commented on 2018-07-06 18:04

Hi, the fails the sha256sums check.

Please update the checksums.

mys_721tx commented on 2018-06-29 22:20

The version number in .SRCINFO needs to be updated.

Morganamilo commented on 2018-05-21 15:03

Replaces should not be used here, this is an alternative to the original package. That's like having wine-staging replaces wine.

Even if replaces was justified I don't think AUR packages should ever use replaces unless it is copied from an existing repo package.

petronny commented on 2018-05-11 08:36

intel-compiler-base should be a dependency

ImportError: cannot open shared object file: No such file or directory

dianlujitao commented on 2018-05-02 11:24

To workaround build error with icc 18.0.1 + glibc2.27, uncomment __INTEL_PRE_CFLAGS part and change it to

export __INTEL_PRE_CFLAGS="$__INTEL_PRE_CFLAGS -D__PURE_INTEL_C99_HEADERS__ -D_Float32=float -D_Float64=double -D_Float128=\"long double\" -D_Float32x=_Float64 -D_Float64x=_Float128"


bred commented on 2017-12-26 11:20

In the icc 18.0.1 the bug has been fixed. So the env variable __INTEL_PRE_CFLAGS is no longer needed.

If you are still using the icc 18.0.0 uncomment the lines 71/72/73 in the PKGBUILD.

arvidsaur commented on 2017-11-29 16:02

python-numpy gives me a pass each time I run it.

python -c "from numpy import test; test('full')"
Running unit tests for numpy
NumPy version 1.13.3
NumPy relaxed strides checking option: True
NumPy is installed in /usr/lib/python3.6/site-packages/numpy
Python version 3.6.3 (default, Oct 24 2017, 14:48:20) [GCC 7.2.0]
nose version 1.3.7

Ran 6823 tests in 99.402s


bred commented on 2017-11-14 10:48

Yes with python-numpy-mkl I've the same error as you.

Try to run the test for two time with python-numpy.
On a new try I've not seen the error on the first run, but it has appeared on the second run (with python-numpy).


arvidsaur commented on 2017-11-13 11:52

That is weird first that we do not have the same failed test, and secondly that python-numpy has no errors for me.

Did you get the chance to test python-numpy-mkl as well?