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import
random
import
numpy
as
np
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
@
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
)),
],
)
def
test_multiply_shapes
(
shape
:
tuple
)
->
None
:
"""Test multiplication operation between two arrays of the same shape"""
lhs
=
wrapper
.
randu
(
shape
,
dtype
.
f16
)
rhs
=
wrapper
.
randu
(
shape
,
dtype
.
f16
)
result
=
wrapper
.
mul
(
lhs
,
rhs
)
assert
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
def
test_multiply_different_shapes
()
->
None
:
"""Test if multiplication handles arrays of different shapes"""
with
pytest
.
raises
(
RuntimeError
):
lhs_shape
=
(
2
,
3
)
rhs_shape
=
(
3
,
2
)
dtypes
=
dtype
.
f16
lhs
=
wrapper
.
randu
(
lhs_shape
,
dtypes
)
rhs
=
wrapper
.
randu
(
rhs_shape
,
dtypes
)
result
=
wrapper
.
mul
(
lhs
,
rhs
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
lhs_shape
)]
==
lhs_shape
# noqa
),
f"Failed for shapes
{
lhs_shape
}
and
{
rhs_shape
}
"
def
test_multiply_negative_shapes
()
->
None
:
"""Test if multiplication handles arrays of negative shapes"""
with
pytest
.
raises
(
RuntimeError
):
lhs_shape
=
(
2
,
-
2
)
rhs_shape
=
(
-
2
,
2
)
dtypes
=
dtype
.
f16
lhs
=
wrapper
.
randu
(
lhs_shape
,
dtypes
)
rhs
=
wrapper
.
randu
(
rhs_shape
,
dtypes
)
result
=
wrapper
.
mul
(
lhs
,
rhs
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
lhs_shape
)]
==
lhs_shape
# noqa
),
f"Failed for shapes
{
lhs_shape
}
and
{
rhs_shape
}
"
@
pytest
.
mark
.
parametrize
(
"dtype_name"
,
get_all_types
())
def
test_multiply_supported_dtypes
(
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test multiplication operation across all supported data types."""
check_type_supported
(
dtype_name
)
shape
=
(
5
,
5
)
lhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
rhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
mul
(
lhs
,
rhs
)
assert
dtype
.
c_api_value_to_dtype
(
wrapper
.
get_type
(
result
))
==
dtype_name
,
f"Failed for dtype:
{
dtype_name
}
"
@
pytest
.
mark
.
parametrize
(
"invdtypes"
,
[
dtype
.
c64
,
dtype
.
f64
,
],
)
def
test_multiply_unsupported_dtypes
(
invdtypes
:
dtype
.
Dtype
)
->
None
:
"""Test multiplication operation for unsupported data types."""
with
pytest
.
raises
(
RuntimeError
):
shape
=
(
5
,
5
)
lhs
=
wrapper
.
randu
(
shape
,
invdtypes
)
rhs
=
wrapper
.
randu
(
shape
,
invdtypes
)
wrapper
.
mul
(
lhs
,
rhs
)
def
test_multiply_zero_sized_arrays
()
->
None
:
"""Test multiplication with arrays where at least one array has zero size."""
with
pytest
.
raises
(
RuntimeError
):
zero_shape
=
(
0
,
5
)
normal_shape
=
(
5
,
5
)
zero_array
=
wrapper
.
randu
(
zero_shape
,
dtype
.
f32
)
normal_array
=
wrapper
.
randu
(
normal_shape
,
dtype
.
f32
)
result_rhs_zero
=
wrapper
.
mul
(
normal_array
,
zero_array
)
assert
wrapper
.
get_dims
(
result_rhs_zero
)
==
normal_shape
result_lhs_zero
=
wrapper
.
mul
(
zero_array
,
normal_array
)
assert
wrapper
.
get_dims
(
result_lhs_zero
)
==
zero_shape
@
pytest
.
mark
.
parametrize
(
"shape_a, shape_b"
,
[
((
1
,
5
), (
5
,
1
)),
# 2D with 2D inverse
((
5
,
5
), (
5
,
1
)),
# 2D with 2D
((
5
,
5
), (
1
,
1
)),
# 2D with 2D
((
1
,
1
,
1
), (
5
,
5
,
5
)),
# 3D with 3D
((
5
,), (
5
,)),
# 1D with 1D broadcast
],
)
def
test_multiply_varying_dimensionality
(
shape_a
:
tuple
,
shape_b
:
tuple
)
->
None
:
"""Test multiplication with arrays of varying dimensionality."""
lhs
=
wrapper
.
randu
(
shape_a
,
dtype
.
f32
)
rhs
=
wrapper
.
randu
(
shape_b
,
dtype
.
f32
)
result
=
wrapper
.
mul
(
lhs
,
rhs
)
expected_shape
=
np
.
broadcast
(
np
.
empty
(
shape_a
),
np
.
empty
(
shape_b
)).
shape
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
expected_shape
)]
==
expected_shape
# noqa
),
f"Failed for shapes
{
shape_a
}
and
{
shape_b
}
"
@
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
)),
],
)
def
test_divide_shapes
(
shape
:
tuple
)
->
None
:
"""Test division operation between two arrays of the same shape"""
lhs
=
wrapper
.
randu
(
shape
,
dtype
.
f16
)
rhs
=
wrapper
.
randu
(
shape
,
dtype
.
f16
)
rhs
=
wrapper
.
add
(
rhs
,
wrapper
.
constant
(
0.001
,
shape
,
dtype
.
f16
))
result
=
wrapper
.
div
(
lhs
,
rhs
)
assert
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
def
test_divide_different_shapes
()
->
None
:
"""Test if division handles arrays of different shapes"""
with
pytest
.
raises
(
RuntimeError
):
lhs_shape
=
(
2
,
3
)
rhs_shape
=
(
3
,
2
)
dtypes
=
dtype
.
f16
lhs
=
wrapper
.
randu
(
lhs_shape
,
dtypes
)
rhs
=
wrapper
.
randu
(
rhs_shape
,
dtypes
)
result
=
wrapper
.
div
(
lhs
,
rhs
)
expected_shape
=
np
.
broadcast
(
np
.
empty
(
lhs_shape
),
np
.
empty
(
rhs_shape
)).
shape
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
expected_shape
)]
==
expected_shape
# noqa
),
f"Failed for shapes
{
lhs_shape
}
and
{
rhs_shape
}
"
def
test_divide_negative_shapes
()
->
None
:
"""Test if division handles arrays of negative shapes"""
with
pytest
.
raises
(
RuntimeError
):
lhs_shape
=
(
2
,
-
2
)
rhs_shape
=
(
-
2
,
2
)
dtypes
=
dtype
.
f16
lhs
=
wrapper
.
randu
(
lhs_shape
,
dtypes
)
rhs
=
wrapper
.
randu
(
rhs_shape
,
dtypes
)
result
=
wrapper
.
div
(
lhs
,
rhs
)
expected_shape
=
np
.
broadcast
(
np
.
empty
(
lhs_shape
),
np
.
empty
(
rhs_shape
)).
shape
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
expected_shape
)]
==
expected_shape
# noqa
),
f"Failed for shapes
{
lhs_shape
}
and
{
rhs_shape
}
"
@
pytest
.
mark
.
parametrize
(
"dtype_name"
,
get_all_types
())
def
test_divide_supported_dtypes
(
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test division operation across all supported data types."""
check_type_supported
(
dtype_name
)
shape
=
(
5
,
5
)
lhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
rhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
rhs
=
wrapper
.
add
(
rhs
,
wrapper
.
constant
(
0.001
,
shape
,
dtype_name
))
result
=
wrapper
.
div
(
lhs
,
rhs
)
assert
dtype
.
c_api_value_to_dtype
(
wrapper
.
get_type
(
result
))
==
dtype_name
,
f"Failed for dtype:
{
dtype_name
}
"
@
pytest
.
mark
.
parametrize
(
"invdtypes"
,
[
dtype
.
c64
,
dtype
.
f64
,
],
)
def
test_divide_unsupported_dtypes
(
invdtypes
:
dtype
.
Dtype
)
->
None
:
"""Test division operation for unsupported data types."""
with
pytest
.
raises
(
RuntimeError
):
shape
=
(
5
,
5
)
lhs
=
wrapper
.
randu
(
shape
,
invdtypes
)
rhs
=
wrapper
.
randu
(
shape
,
invdtypes
)
# Prevent division by zero in unsupported dtype test
rhs
=
wrapper
.
add
(
rhs
,
wrapper
.
constant
(
0.001
,
shape
,
invdtypes
))
wrapper
.
div
(
lhs
,
rhs
)
def
test_divide_zero_sized_arrays
()
->
None
:
"""Test division with arrays where at least one array has zero size."""
with
pytest
.
raises
(
RuntimeError
):
zero_shape
=
(
0
,
5
)
normal_shape
=
(
5
,
5
)
zero_array
=
wrapper
.
randu
(
zero_shape
,
dtype
.
f32
)
normal_array
=
wrapper
.
randu
(
normal_shape
,
dtype
.
f32
)
result_rhs_zero
=
wrapper
.
div
(
normal_array
,
zero_array
)
assert
wrapper
.
get_dims
(
result_rhs_zero
)
==
normal_shape
result_lhs_zero
=
wrapper
.
div
(
zero_array
,
normal_array
)
assert
wrapper
.
get_dims
(
result_lhs_zero
)
==
zero_shape
@
pytest
.
mark
.
parametrize
(
"shape_a, shape_b"
,
[
((
1
,
5
), (
5
,
1
)),
# 2D with 2D inverse
((
5
,
5
), (
5
,
1
)),
# 2D with 2D
((
5
,
5
), (
1
,
1
)),
# 2D with 2D
((
1
,
1
,
1
), (
5
,
5
,
5
)),
# 3D with 3D
((
5
,), (
5
,)),
# 1D with 1D broadcast
],
)
def
test_divide_varying_dimensionality
(
shape_a
:
tuple
,
shape_b
:
tuple
)
->
None
:
"""Test division with arrays of varying dimensionality."""
lhs
=
wrapper
.
randu
(
shape_a
,
dtype
.
f32
)
rhs
=
wrapper
.
randu
(
shape_b
,
dtype
.
f32
)
# Prevent division by zero for dimensional test
rhs
=
wrapper
.
add
(
rhs
,
wrapper
.
constant
(
0.001
,
shape_b
,
dtype
.
f32
))
result
=
wrapper
.
div
(
lhs
,
rhs
)
expected_shape
=
np
.
broadcast
(
np
.
empty
(
shape_a
),
np
.
empty
(
shape_b
)).
shape
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
expected_shape
)]
==
expected_shape
# noqa
),
f"Failed for shapes
{
shape_a
}
and
{
shape_b
}
"
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