def test_absolute_float_3(type):
a = numpy.array([[[-2., 3.], [9.1, 0.2]], [[-2., 5.0], [-2, -1.2]], [[1.0, -2.], [5.0, -1.1]]])
ia = inp.array(a)
result = inp.absolute(ia)
expected = numpy.absolute(a)
numpy.testing.assert_array_equal(expected, result)
def test_absolute_int(type):
a = numpy.array([1, 0, 2, -3, -1, 2, 21, -9])
ia = inp.array(a)
result = inp.absolute(ia)
expected = numpy.absolute(a)
numpy.testing.assert_array_equal(expected, result)
def test_absolute_float(type):
a = numpy.array([[-2., 3., 9.1], [-2., 5.0, -2], [1.0, -2., 5.0]])
ia = inp.array(a)
result = inp.absolute(ia)
expected = numpy.absolute(a)
numpy.testing.assert_array_equal(expected, result)
def abs(*args, **kwargs):
"""
Calculate the absolute value element-wise.
.. seealso:: :obj:`numpy.add`
"""
return dpnp.absolute(*args, **kwargs)
def abs(*args, **kwargs):
"""
Calculate the absolute value element-wise.
For full documentation refer to :obj:`numpy.absolute`.
Notes
-----
"obj:`dpnp.abs` is a shorthand for :obj:`dpnp.absolute`.
Examples
--------
>>> import dpnp as np
>>> a = np.array([-1.2, 1.2])
>>> result = np.abs(a)
>>> [x for x in result]
[1.2, 1.2]
"""
return dpnp.absolute(*args, **kwargs)