Python multiply Examples

Example #1

def test_multiply_scalar(array, val, data_type, val_type):
    np_a = numpy.array(array, dtype=data_type)
    dpnp_a = dpnp.array(array, dtype=data_type)
    val_ = val_type(val)

    result = dpnp.multiply(np_a, val_)
    expected = numpy.multiply(dpnp_a, val_)
    numpy.testing.assert_array_equal(result, expected)

    result = dpnp.multiply(val_, np_a)
    expected = numpy.multiply(val_, dpnp_a)
    numpy.testing.assert_array_equal(result, expected)

Example #2

def test_multiply_scalar(array, val, data_type, val_type):
    a = numpy.array(array, dtype=data_type)
    ia = inp.array(a)
    val_ = val_type(val)

    result = inp.multiply(a, val_)
    expected = numpy.multiply(ia, val_)
    numpy.testing.assert_array_equal(result, expected)

    result = inp.multiply(val_, a)
    expected = numpy.multiply(val_, ia)
    numpy.testing.assert_array_equal(result, expected)

Example #3

def test_multiply_complex(data):
    a = numpy.array(data)
    ia = inp.array(data)

    result = inp.multiply(ia, ia)
    expected = numpy.multiply(a, a)
    numpy.testing.assert_array_equal(result, expected)

    result = inp.multiply(ia, 0.5j)
    expected = numpy.multiply(a, 0.5j)
    numpy.testing.assert_array_equal(result, expected)

    result = inp.multiply(0.5j, ia)
    expected = numpy.multiply(0.5j, a)
    numpy.testing.assert_array_equal(result, expected)

Example #4

def test_multiply_complex(data):
    np_a = numpy.array(data)
    dpnp_a = dpnp.array(data)

    result = dpnp.multiply(dpnp_a, dpnp_a)
    expected = numpy.multiply(np_a, np_a)
    numpy.testing.assert_array_equal(result, expected)

    result = dpnp.multiply(dpnp_a, 0.5j)
    expected = numpy.multiply(np_a, 0.5j)
    numpy.testing.assert_array_equal(result, expected)

    result = dpnp.multiply(0.5j, dpnp_a)
    expected = numpy.multiply(0.5j, np_a)
    numpy.testing.assert_array_equal(result, expected)

Example #5

File: test_mathematical.py Project: samir-nasibli/dpnp

def test_multiply(array, val, data_type, val_type):
    a = numpy.array(array, dtype=data_type)
    ia = inp.array(a)
    val_ = val_type(val)
    result = inp.multiply(ia, val_)
    expected = numpy.multiply(ia, val_)
    numpy.testing.assert_array_equal(expected, result)

Example #6

File: dpnp_array.py Project: densmirn/dpnp

 def __rmul__(self, other):
     return dpnp.multiply(other, self)

Example #7

File: dpnp_array.py Project: densmirn/dpnp

 def __mul__(self, other):
     return dpnp.multiply(self, other)