Module « numpy.testing »
Signature de la fonction assert_array_less
def assert_array_less(x, y, err_msg='', verbose=True)
Description
assert_array_less.__doc__
Raises an AssertionError if two array_like objects are not ordered by less
than.
Given two array_like objects, check that the shape is equal and all
elements of the first object are strictly smaller than those of the
second object. An exception is raised at shape mismatch or incorrectly
ordered values. Shape mismatch does not raise if an object has zero
dimension. In contrast to the standard usage in numpy, NaNs are
compared, no assertion is raised if both objects have NaNs in the same
positions.
Parameters
----------
x : array_like
The smaller object to check.
y : array_like
The larger object to compare.
err_msg : string
The error message to be printed in case of failure.
verbose : bool
If True, the conflicting values are appended to the error message.
Raises
------
AssertionError
If actual and desired objects are not equal.
See Also
--------
assert_array_equal: tests objects for equality
assert_array_almost_equal: test objects for equality up to precision
Examples
--------
>>> np.testing.assert_array_less([1.0, 1.0, np.nan], [1.1, 2.0, np.nan])
>>> np.testing.assert_array_less([1.0, 1.0, np.nan], [1, 2.0, np.nan])
Traceback (most recent call last):
...
AssertionError:
Arrays are not less-ordered
<BLANKLINE>
Mismatched elements: 1 / 3 (33.3%)
Max absolute difference: 1.
Max relative difference: 0.5
x: array([ 1., 1., nan])
y: array([ 1., 2., nan])
>>> np.testing.assert_array_less([1.0, 4.0], 3)
Traceback (most recent call last):
...
AssertionError:
Arrays are not less-ordered
<BLANKLINE>
Mismatched elements: 1 / 2 (50%)
Max absolute difference: 2.
Max relative difference: 0.66666667
x: array([1., 4.])
y: array(3)
>>> np.testing.assert_array_less([1.0, 2.0, 3.0], [4])
Traceback (most recent call last):
...
AssertionError:
Arrays are not less-ordered
<BLANKLINE>
(shapes (3,), (1,) mismatch)
x: array([1., 2., 3.])
y: array([4])
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