[Numpy-discussion] number of tests
Davide Del Vento
Tue Feb 12 11:02:33 CST 2013
I should have added:
$ lsb_release -a
Distributor ID: RedHatEnterpriseServer
Description: Red Hat Enterprise Linux Server release 6.2 (Santiago)
$ python -c "import numpy; numpy.test('full')"
Running unit tests for numpy
NumPy version 1.6.2
NumPy is installed in
Python version 2.7.3 (default, Feb 9 2013, 16:14:16) [GCC 4.7.2]
nose version 1.2.1
So nobody knows why the number of tests run are different among
different runs of the same binary/library on different nodes?
Davide Del Vento,
On 02/11/2013 08:54 PM, Davide Del Vento wrote:
> I compiled numpy 1.6.2 (right before 1.7 came out) with the intel
> compiler and MKL library. I'm trying to assess
> whether or not everything has been build fine. Since my machine is
> actually a cluster, I'm running the tests in different configurations
> (login node and batch script). However, I'm confused by the number of
> tests which ran.
> On the login nodes (either interactively or without tty) I get:
> Ran 3587 tests in 22.211s
> FAILED (KNOWNFAIL=5, SKIP=11, failures=2)
> Whereas in a remote batch node (with a script) I get:
> Ran 3229 tests in 15.642s
> OK (KNOWNFAIL=5, SKIP=19)
> Where did the 358 "missing" tests go in the batch run?
> The handful difference in SKIPped and FAILed (which I am
> investigating) cannot be the reason.
> What is it happening?
> PS: a similar thing happened with scipy, which I'm asking on the
> scipy mailing list.
> Thanks and Regards,
More information about the NumPy-Discussion