From 8b1656e0818f26e67c177198166d948f0eb419a9 Mon Sep 17 00:00:00 2001 From: Vahid Tavanashad Date: Thu, 12 Oct 2023 13:52:53 -0400 Subject: [PATCH] add more tests for floor_divide --- tests/test_mathematical.py | 109 ++++++++++++++++++++++++++++++++----- 1 file changed, 95 insertions(+), 14 deletions(-) diff --git a/tests/test_mathematical.py b/tests/test_mathematical.py index 113191b4057..7f92db4ab96 100644 --- a/tests/test_mathematical.py +++ b/tests/test_mathematical.py @@ -1061,6 +1061,101 @@ def test_invalid_out(self, out): assert_raises(TypeError, numpy.divide, a.asnumpy(), 2, out) +class TestFloordivide: + @pytest.mark.parametrize("dtype", get_float_dtypes()) + def test_floor_divide(self, dtype): + array1_data = numpy.arange(10) + array2_data = numpy.arange(5, 15) + out = numpy.empty(10, dtype=dtype) + + # DPNP + dp_array1 = dpnp.array(array1_data, dtype=dtype) + dp_array2 = dpnp.array(array2_data, dtype=dtype) + dp_out = dpnp.array(out, dtype=dtype) + result = dpnp.floor_divide(dp_array1, dp_array2, out=dp_out) + + # original + np_array1 = numpy.array(array1_data, dtype=dtype) + np_array2 = numpy.array(array2_data, dtype=dtype) + expected = numpy.floor_divide(np_array1, np_array2, out=out) + + assert_dtype_allclose(result, expected) + assert_dtype_allclose(dp_out, out) + + @pytest.mark.usefixtures("suppress_divide_invalid_numpy_warnings") + @pytest.mark.parametrize("dtype", get_float_dtypes()) + def test_out_dtypes(self, dtype): + size = 10 + + np_array1 = numpy.arange(size, 2 * size, dtype=dtype) + np_array2 = numpy.arange(size, dtype=dtype) + np_out = numpy.empty(size, dtype=numpy.complex64) + expected = numpy.floor_divide(np_array1, np_array2, out=np_out) + + dp_array1 = dpnp.arange(size, 2 * size, dtype=dtype) + dp_array2 = dpnp.arange(size, dtype=dtype) + + dp_out = dpnp.empty(size, dtype=dpnp.complex64) + if dtype != dpnp.complex64: + # dtype of out mismatches types of input arrays + with pytest.raises(TypeError): + dpnp.floor_divide(dp_array1, dp_array2, out=dp_out) + + # allocate new out with expected type + dp_out = dpnp.empty(size, dtype=dtype) + + result = dpnp.floor_divide(dp_array1, dp_array2, out=dp_out) + assert_dtype_allclose(result, expected) + + @pytest.mark.usefixtures("suppress_divide_invalid_numpy_warnings") + @pytest.mark.parametrize("dtype", get_float_dtypes()) + def test_out_overlap(self, dtype): + size = 15 + # DPNP + dp_a = dpnp.arange(2 * size, dtype=dtype) + dpnp.floor_divide(dp_a[size::], dp_a[::2], out=dp_a[:size:]) + + # original + np_a = numpy.arange(2 * size, dtype=dtype) + numpy.floor_divide(np_a[size::], np_a[::2], out=np_a[:size:]) + + assert_dtype_allclose(dp_a, np_a) + + @pytest.mark.parametrize("dtype", get_float_dtypes()) + def test_inplace_strided_out(self, dtype): + size = 21 + + np_a = numpy.arange(size, dtype=dtype) + np_a[::3] //= 4 + + dp_a = dpnp.arange(size, dtype=dtype) + dp_a[::3] //= 4 + + assert_allclose(dp_a, np_a) + + @pytest.mark.parametrize( + "shape", [(0,), (15,), (2, 2)], ids=["(0,)", "(15, )", "(2,2)"] + ) + def test_invalid_shape(self, shape): + dp_array1 = dpnp.arange(10) + dp_array2 = dpnp.arange(5, 15) + dp_out = dpnp.empty(shape) + + with pytest.raises(ValueError): + dpnp.floor_divide(dp_array1, dp_array2, out=dp_out) + + @pytest.mark.parametrize( + "out", + [4, (), [], (3, 7), [2, 4]], + ids=["4", "()", "[]", "(3, 7)", "[2, 4]"], + ) + def test_invalid_out(self, out): + a = dpnp.arange(10) + + assert_raises(TypeError, dpnp.floor_divide, a, 2, out) + assert_raises(TypeError, numpy.floor_divide, a.asnumpy(), 2, out) + + class TestFmax: @pytest.mark.parametrize( "dtype", get_all_dtypes(no_bool=True, no_complex=True, no_none=True) @@ -1836,17 +1931,3 @@ def test_inplace_remainder(dtype): dp_a %= 4 assert_allclose(dp_a, np_a) - - -@pytest.mark.parametrize( - "dtype", get_all_dtypes(no_bool=True, no_none=True, no_complex=True) -) -def test_inplace_floor_divide(dtype): - size = 21 - np_a = numpy.arange(size, dtype=dtype) - dp_a = dpnp.arange(size, dtype=dtype) - - np_a //= 4 - dp_a //= 4 - - assert_allclose(dp_a, np_a)