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test_trig.py
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156 lines (138 loc) · 5.79 KB
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import random
import pytest
import arrayfire_wrapper.dtypes as dtype
import arrayfire_wrapper.lib as wrapper
from tests.utility_functions import check_type_supported, get_all_types, get_float_types
@pytest.mark.parametrize(
"shape",
[
(),
(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), random.randint(1, 10)),
],
)
@pytest.mark.parametrize("dtype_name", get_all_types())
def test_asin_shape_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
"""Test inverse sine operation across all supported data types."""
check_type_supported(dtype_name)
values = wrapper.randu(shape, dtype_name)
result = wrapper.asin(values)
assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}" # noqa
@pytest.mark.parametrize(
"shape",
[
(),
(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), random.randint(1, 10)),
],
)
@pytest.mark.parametrize("dtype_name", get_all_types())
def test_acos_shape_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
"""Test inverse cosine operation across all supported data types."""
check_type_supported(dtype_name)
values = wrapper.randu(shape, dtype_name)
result = wrapper.acos(values)
assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}" # noqa
@pytest.mark.parametrize(
"shape",
[
(),
(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), random.randint(1, 10)),
],
)
@pytest.mark.parametrize("dtype_name", get_all_types())
def test_atan_shape_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
"""Test inverse tan operation across all supported data types."""
check_type_supported(dtype_name)
values = wrapper.randu(shape, dtype_name)
result = wrapper.atan(values)
assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}" # noqa
@pytest.mark.parametrize(
"shape",
[
(),
(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), random.randint(1, 10)),
],
)
@pytest.mark.parametrize("dtype_name", get_float_types())
def test_atan2_shape_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
"""Test inverse tan operation across all supported data types."""
check_type_supported(dtype_name)
if dtype_name == dtype.f16:
pytest.skip()
lhs = wrapper.randu(shape, dtype_name)
rhs = wrapper.randu(shape, dtype_name)
result = wrapper.atan2(lhs, rhs)
assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}" # noqa
@pytest.mark.parametrize(
"invdtypes",
[
dtype.int16,
dtype.bool,
],
)
def test_atan2_unsupported_dtypes(invdtypes: dtype.Dtype) -> None:
"""Test inverse tan operation for unsupported data types."""
with pytest.raises(RuntimeError):
wrapper.atan2(wrapper.randu((10, 10), invdtypes), wrapper.randu((10, 10), invdtypes))
@pytest.mark.parametrize(
"shape",
[
(),
(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), random.randint(1, 10)),
],
)
@pytest.mark.parametrize("dtype_name", get_all_types())
def test_cos_shape_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
"""Test cosine operation across all supported data types."""
check_type_supported(dtype_name)
values = wrapper.randu(shape, dtype_name)
result = wrapper.cos(values)
assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}" # noqa
@pytest.mark.parametrize(
"shape",
[
(),
(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), random.randint(1, 10)),
],
)
@pytest.mark.parametrize("dtype_name", get_all_types())
def test_sin_shape_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
"""Test sin operation across all supported data types."""
check_type_supported(dtype_name)
values = wrapper.randu(shape, dtype_name)
result = wrapper.sin(values)
assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}" # noqa
@pytest.mark.parametrize(
"shape",
[
(),
(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), random.randint(1, 10)),
],
)
@pytest.mark.parametrize("dtype_name", get_all_types())
def test_tan_shape_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
"""Test tan operation across all supported data types."""
check_type_supported(dtype_name)
values = wrapper.randu(shape, dtype_name)
result = wrapper.tan(values)
assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"failed for shape: {shape}" # noqa