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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, get_real_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_float_types())
def test_complex_supported_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
"""Test complex operation across all supported data types."""
check_type_supported(dtype_name)
if dtype_name == dtype.f16:
pytest.skip()
tester = wrapper.randu(shape, dtype_name)
result = wrapper.cplx(tester)
assert wrapper.is_complex(result), f"Failed for dtype: {dtype_name}"
@pytest.mark.parametrize(
"invdtypes",
[
dtype.int32,
dtype.complex32,
],
)
def test_complex_unsupported_dtypes(invdtypes: dtype.Dtype) -> None:
"""Test complex operation for unsupported data types."""
with pytest.raises(RuntimeError):
shape = (5, 5)
out = wrapper.randu(shape, invdtypes)
wrapper.cplx(out)
@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_real_types())
def test_complex2_supported_dtypes(shape: tuple, dtype_name: dtype.Dtype) -> None:
"""Test complex2 operation across all supported data types."""
check_type_supported(dtype_name)
lhs = wrapper.randu(shape, dtype_name)
rhs = wrapper.randu(shape, dtype_name)
result = wrapper.cplx2(lhs, rhs)
assert wrapper.is_complex(result), f"Failed for dtype: {dtype_name}"
@pytest.mark.parametrize(
"invdtypes",
[
dtype.c32,
],
)
def test_complex2_unsupported_dtypes(invdtypes: dtype.Dtype) -> None:
"""Test complex2 operation for unsupported data types."""
with pytest.raises(RuntimeError):
shape = (5, 5)
lhs = wrapper.randu(shape, invdtypes)
rhs = wrapper.randu(shape, invdtypes)
wrapper.cplx2(lhs, rhs)
@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("dtypes", get_all_types())
def test_conj_supported_dtypes(shape: tuple, dtypes: dtype.Dtype) -> None:
"""Test conjugate operation for supported data types."""
check_type_supported(dtypes)
arr = wrapper.constant(7, shape, dtypes)
result = wrapper.conjg(arr)
assert wrapper.get_dims(result)[0 : len(shape)] == shape, f"Failed for shape: {shape}, and dtype: {dtypes}" # 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("dtypes", get_all_types())
def test_imag_supported_dtypes(shape: tuple, dtypes: dtype.Dtype) -> None:
"""Test imaginary and real operations for supported data types."""
check_type_supported(dtypes)
arr = wrapper.randu(shape, dtypes)
real = wrapper.real(arr)
assert wrapper.is_real(real), f"Failed for shape: {shape}"
@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("dtypes", get_all_types())
def test_real_supported_dtypes(shape: tuple, dtypes: dtype.Dtype) -> None:
"""Test imaginary and real operations for supported data types."""
check_type_supported(dtypes)
arr = wrapper.randu(shape, dtypes)
real = wrapper.real(arr)
assert wrapper.is_real(real), f"Failed for shape: {shape}"