Package Details: python-numpy-mkl 1.16.0-2

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: python-numpy
Provides: python-numpy=1.16.0
Submitter: bred
Maintainer: RunAndTumble
Last Packager: RunAndTumble
Votes: 34
Popularity: 3.337625
First Submitted: 2012-08-25 16:55
Last Updated: 2019-01-16 21:04

Required by (626)

Sources (3)

Pinned Comments

RunAndTumble commented on 2019-01-14 12:43

1.16 is out

Latest Comments

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RunAndTumble commented on 2019-01-14 12:43

1.16 is out

petronny commented on 2018-11-22 04:29

1.15.4 is out. Please update it.

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