[Numpy-discussion] using assertEqual in unittest to test two np.ndarray?
Grissiom
chaos.proton@gmail....
Fri Mar 20 19:31:02 CDT 2009
On Sat, Mar 21, 2009 at 05:03, <josef.pktd@gmail.com> wrote:
> for testing purposes it is available in numpy testing:
> from numpy.testing import assert_equal, assert_almost_equal,
> assert_array_equal
> >>> a = np.array([ 1., 2., np.NaN, 4.])
> >>> assert_array_equal(a,a)
>
> does not raise AssertionError
>
> >>> assert_array_equal(a,a+1)
> Traceback (most recent call last):
> File "<pyshell#6>", line 1, in <module>
> assert_array_equal(a,a+1)
> File "C:\Programs\Python25\lib\site-packages\numpy\testing\utils.py",
> line 303, in assert_array_equal
> verbose=verbose, header='Arrays are not equal')
> File "C:\Programs\Python25\lib\site-packages\numpy\testing\utils.py",
> line 295, in assert_array_compare
> raise AssertionError(msg)
> AssertionError:
> Arrays are not equal
>
> (mismatch 100.0%)
> x: array([ 1., 2., NaN, 4.])
> y: array([ 2., 3., NaN, 5.])
>
Great! Thanks! In my case, a NaN is indicating something goes wrong and I
want testing fail on it. So it meet my demand.
One thing more, when I help(np.testing) I only got this:
=============================================
Help on package numpy.testing in numpy:
NAME
numpy.testing - Common test support for all numpy test scripts.
FILE
/usr/lib/python2.5/site-packages/numpy/testing/__init__.py
DESCRIPTION
This single module should provide all the common functionality for numpy
tests
in a single location, so that test scripts can just import it and work
right
away.
PACKAGE CONTENTS
decorators
noseclasses
nosetester
nulltester
numpytest
parametric
setup
setupscons
utils
DATA
verbose = 0
================================================
So I have to dir it to see is there any other useful functions. It will be
perfect to document package method like assert_equal here.
Thanks very much~;)
--
Cheers,
Grissiom
-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mail.scipy.org/pipermail/numpy-discussion/attachments/20090321/5bdc687f/attachment-0001.html
More information about the Numpy-discussion
mailing list