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Module « numpy.testing »

Fonction assert_array_less - module numpy.testing

Signature de la fonction assert_array_less

def assert_array_less(x, y, err_msg='', verbose=True, *, strict=False) 

Description

help(numpy.testing.assert_array_less)

Raises an AssertionError if two array_like objects are not ordered by less
than.

Given two array_like objects `x` and `y`, check that the shape is equal and
all elements of `x` are strictly less than the corresponding elements of
`y` (but see the Notes for the special handling of a scalar). An exception
is raised at shape mismatch or values that are not correctly ordered. In
contrast to the  standard usage in NumPy, 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.
strict : bool, optional
    If True, raise an AssertionError when either the shape or the data
    type of the array_like objects does not match. The special
    handling for scalars mentioned in the Notes section is disabled.

    .. versionadded:: 2.0.0

Raises
------
AssertionError
  If x is not strictly smaller than y, element-wise.

See Also
--------
assert_array_equal: tests objects for equality
assert_array_almost_equal: test objects for equality up to precision

Notes
-----
When one of `x` and `y` is a scalar and the other is array_like, the
function performs the comparison as though the scalar were broadcasted
to the shape of the array. This behaviour can be disabled with the `strict`
parameter.

Examples
--------
The following assertion passes because each finite element of `x` is
strictly less than the corresponding element of `y`, and the NaNs are in
corresponding locations.

>>> x = [1.0, 1.0, np.nan]
>>> y = [1.1, 2.0, np.nan]
>>> np.testing.assert_array_less(x, y)

The following assertion fails because the zeroth element of `x` is no
longer strictly less than the zeroth element of `y`.

>>> y[0] = 1
>>> np.testing.assert_array_less(x, y)
Traceback (most recent call last):
    ...
AssertionError:
Arrays are not strictly ordered `x < y`
<BLANKLINE>
Mismatched elements: 1 / 3 (33.3%)
Max absolute difference among violations: 0.
Max relative difference among violations: 0.
 x: array([ 1.,  1., nan])
 y: array([ 1.,  2., nan])

Here, `y` is a scalar, so each element of `x` is compared to `y`, and
the assertion passes.

>>> x = [1.0, 4.0]
>>> y = 5.0
>>> np.testing.assert_array_less(x, y)

However, with ``strict=True``, the assertion will fail because the shapes
do not match.

>>> np.testing.assert_array_less(x, y, strict=True)
Traceback (most recent call last):
    ...
AssertionError:
Arrays are not strictly ordered `x < y`
<BLANKLINE>
(shapes (2,), () mismatch)
 x: array([1., 4.])
 y: array(5.)

With ``strict=True``, the assertion also fails if the dtypes of the two
arrays do not match.

>>> y = [5, 5]
>>> np.testing.assert_array_less(x, y, strict=True)
Traceback (most recent call last):
    ...
AssertionError:
Arrays are not strictly ordered `x < y`
<BLANKLINE>
(dtypes float64, int64 mismatch)
 x: array([1., 4.])
 y: array([5, 5])

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