# numpy.testing.assert_array_less

testing.assert_array_less(x, y, err_msg='', verbose=True)

  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

      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

      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

      (shapes (3,), (1,) mismatch)
       x: array([1., 2., 3.])
       y: array([4])

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