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test_constants.py
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import random
import pytest
import arrayfire_wrapper.dtypes as dtypes
import arrayfire_wrapper.lib as wrapper
invalid_shape = (
random.randint(1, 10),
random.randint(1, 10),
random.randint(1, 10),
random.randint(1, 10),
random.randint(1, 10),
)
@pytest.mark.parametrize(
"shape",
[
(),
(random.randint(1, 10), 1),
(random.randint(1, 10), random.randint(1, 10)),
(random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
(random.randint(1, 10), random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
],
)
def test_constant_shape(shape: tuple) -> None:
"""Test if constant creates an array with the correct shape."""
number = 5.0
dtype = dtypes.s16
result = wrapper.constant(number, shape, dtype)
assert wrapper.get_dims(result)[0 : len(shape)] == shape # noqa: E203
@pytest.mark.parametrize(
"shape",
[
(),
(random.randint(1, 10), 1),
(random.randint(1, 10), random.randint(1, 10)),
(random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
(random.randint(1, 10), random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
],
)
def test_constant_complex_shape(shape: tuple) -> None:
"""Test if constant_complex creates an array with the correct shape."""
dtype = dtypes.c32
dtype = dtypes.c32
rand_array = wrapper.randu((1, 1), dtype)
number = wrapper.get_scalar(rand_array, dtype)
if isinstance(number, (complex)):
result = wrapper.constant_complex(number, shape, dtype)
assert wrapper.get_dims(result)[0 : len(shape)] == shape # noqa: E203
else:
pytest.skip()
@pytest.mark.parametrize(
"shape",
[
(),
(random.randint(1, 10), 1),
(random.randint(1, 10), random.randint(1, 10)),
(random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
(random.randint(1, 10), random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
],
)
def test_constant_long_shape(shape: tuple) -> None:
"""Test if constant_long creates an array with the correct shape."""
dtype = dtypes.s64
rand_array = wrapper.randu((1, 1), dtype)
number = wrapper.get_scalar(rand_array, dtype)
if isinstance(number, (int, float)):
result = wrapper.constant_long(number, shape, dtype)
assert wrapper.get_dims(result)[0 : len(shape)] == shape # noqa: E203
@pytest.mark.parametrize(
"shape",
[
(),
(random.randint(1, 10), 1),
(random.randint(1, 10), random.randint(1, 10)),
(random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
(random.randint(1, 10), random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)),
],
)
def test_constant_ulong_shape(shape: tuple) -> None:
"""Test if constant_ulong creates an array with the correct shape."""
dtype = dtypes.u64
rand_array = wrapper.randu((1, 1), dtype)
number = wrapper.get_scalar(rand_array, dtype)
if isinstance(number, (int, float)):
result = wrapper.constant_ulong(number, shape, dtype)
assert wrapper.get_dims(result)[0 : len(shape)] == shape # noqa: E203
else:
pytest.skip()
def test_constant_shape_invalid() -> None:
"""Test if constant handles a shape with greater than 4 dimensions"""
with pytest.raises(TypeError):
number = 5.0
dtype = dtypes.s16
wrapper.constant(number, invalid_shape, dtype)
def test_constant_complex_shape_invalid() -> None:
"""Test if constant_complex handles a shape with greater than 4 dimensions"""
with pytest.raises(TypeError):
dtype = dtypes.c32
rand_array = wrapper.randu((1, 1), dtype)
number = wrapper.get_scalar(rand_array, dtype)
if isinstance(number, (int, float, complex)):
wrapper.constant_complex(number, invalid_shape, dtype)
def test_constant_long_shape_invalid() -> None:
"""Test if constant_long handles a shape with greater than 4 dimensions"""
with pytest.raises(TypeError):
dtype = dtypes.s64
rand_array = wrapper.randu((1, 1), dtype)
number = wrapper.get_scalar(rand_array, dtype)
if isinstance(number, (int, float)):
wrapper.constant_long(number, invalid_shape, dtype)
def test_constant_ulong_shape_invalid() -> None:
"""Test if constant_ulong handles a shape with greater than 4 dimensions"""
with pytest.raises(TypeError):
dtype = dtypes.u64
rand_array = wrapper.randu((1, 1), dtype)
number = wrapper.get_scalar(rand_array, dtype)
if isinstance(number, (int, float)):
wrapper.constant_ulong(number, invalid_shape, dtype)
@pytest.mark.parametrize(
"dtype_index",
[i for i in range(13)],
)
def test_constant_dtype(dtype_index: int) -> None:
"""Test if constant creates an array with the correct dtype."""
if dtype_index in [1, 3] or (dtype_index == 2 and not wrapper.get_dbl_support()):
pytest.skip()
dtype = dtypes.c_api_value_to_dtype(dtype_index)
rand_array = wrapper.randu((1, 1), dtype)
value = wrapper.get_scalar(rand_array, dtype)
shape = (2, 2)
if isinstance(value, (int, float)):
result = wrapper.constant(value, shape, dtype)
assert dtypes.c_api_value_to_dtype(wrapper.get_type(result)) == dtype
else:
pytest.skip()
@pytest.mark.parametrize(
"dtype_index",
[i for i in range(13)],
)
def test_constant_complex_dtype(dtype_index: int) -> None:
"""Test if constant_complex creates an array with the correct dtype."""
if not
pytest.skip()
dtype = dtypes.c_api_value_to_dtype(dtype_index)
rand_array = wrapper.randu((1, 1), dtype)
value = wrapper.get_scalar(rand_array, dtype)
shape = (2, 2)
if isinstance(value, (int, float, complex)):
result = wrapper.constant_complex(value, shape, dtype)
assert dtypes.c_api_value_to_dtype(wrapper.get_type(result)) == dtype
else:
pytest.skip()
def test_constant_long_dtype() -> None:
"""Test if constant_long creates an array with the correct dtype."""
dtype = dtypes.s64
rand_array = wrapper.randu((1, 1), dtype)
value = wrapper.get_scalar(rand_array, dtype)
shape = (2, 2)
if isinstance(value, (int, float)):
result = wrapper.constant_long(value, shape, dtype)
assert dtypes.c_api_value_to_dtype(wrapper.get_type(result)) == dtype
else:
pytest.skip()
def test_constant_ulong_dtype() -> None:
"""Test if constant_ulong creates an array with the correct dtype."""
dtype = dtypes.u64
rand_array = wrapper.randu((1, 1), dtype)
value = wrapper.get_scalar(rand_array, dtype)
shape = (2, 2)
if isinstance(value, (int, float)):
result = wrapper.constant_ulong(value, shape, dtype)
assert dtypes.c_api_value_to_dtype(wrapper.get_type(result)) == dtype
else:
pytest.skip()