Issue
I am using assertions like np.testing.assert_all_equal
to check whether arrays are as expected. However, for 2D arrays I only see up to 3 elements of axis 0. e.g.:
import numpy as np
x1 = np.expand_dims(np.arange(10), 1)
x2 = np.expand_dims(np.arange(10), 1)
x2[8] = 0
np.testing.assert_almost_equal(x1, x2)
This results in:
AssertionError:
Arrays are not almost equal to 7 decimals
Mismatched elements: 1 / 10 (10%)
Max absolute difference: 8
Max relative difference: 0.
x: array([[0],
[1],
[2],...
y: array([[0],
[1],
[2],...
This is less than helpful since I can't see where the mismatch is. I've tried using np.set_printoptions(edgeitems=10)
to no avail.
How can I set it up so that my asserts print the full contents of the arrays on failure?
Solution
I guess you can't do anything about it as the maximum of 3 elements is hard-coded in numpy.testing._private.utils.build_err_msg
:
if r.count('\n') > 3:
r = '\n'.join(r.splitlines()[:3])
r += '...'
(unless you make your own build_err_msg
based on numpy's and redefine np.testing._private.utils.build_err_msg = my_build_err_msg
)
Answered By - Stef
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