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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
,
get_complex_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_all_types
())
def
test_abs_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test absolute value operation between two arrays of the same shape"""
check_type_supported
(
dtype_name
)
out
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
abs_
(
out
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
@
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_arg_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test arg operation between two arrays of the same shape"""
check_type_supported
(
dtype_name
)
out
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
arg
(
out
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
@
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_ceil_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test ceil operation between two arrays of the same shape"""
check_type_supported
(
dtype_name
)
out
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
ceil
(
out
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
@
pytest
.
mark
.
parametrize
(
"invdtypes"
,
[
dtype
.
c32
,
],
)
def
test_ceil_shapes_invalid
(
invdtypes
:
dtype
.
Dtype
)
->
None
:
"""Test and_ operation between two arrays of the same shape"""
with
pytest
.
raises
(
RuntimeError
):
shape
=
(
3
,
3
)
out
=
wrapper
.
randu
(
shape
,
invdtypes
)
result
=
wrapper
.
ceil
(
out
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
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_maxof_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test maxof operation between two arrays of the same shape"""
check_type_supported
(
dtype_name
)
lhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
rhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
maxof
(
lhs
,
rhs
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
@
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_maxof_varying_dimensionality
(
shape_a
:
tuple
,
shape_b
:
tuple
)
->
None
:
"""Test maxof with arrays of varying dimensionality."""
lhs
=
wrapper
.
randu
(
shape_a
,
dtype
.
f32
)
rhs
=
wrapper
.
randu
(
shape_b
,
dtype
.
f32
)
result
=
wrapper
.
maxof
(
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
)),
],
)
@
pytest
.
mark
.
parametrize
(
"dtype_name"
,
get_all_types
())
def
test_minof_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test minof operation between two arrays of the same shape"""
check_type_supported
(
dtype_name
)
lhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
rhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
minof
(
lhs
,
rhs
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
@
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_minof_varying_dimensionality
(
shape_a
:
tuple
,
shape_b
:
tuple
)
->
None
:
"""Test minof with arrays of varying dimensionality."""
lhs
=
wrapper
.
randu
(
shape_a
,
dtype
.
f32
)
rhs
=
wrapper
.
randu
(
shape_b
,
dtype
.
f32
)
result
=
wrapper
.
minof
(
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
)),
],
)
@
pytest
.
mark
.
parametrize
(
"dtype_name"
,
get_real_types
())
def
test_mod_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test mod operation between two arrays of the same shape"""
check_type_supported
(
dtype_name
)
lhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
rhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
mod
(
lhs
,
rhs
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
@
pytest
.
mark
.
parametrize
(
"invdtypes"
,
get_complex_types
())
def
test_mod_shapes_invalid
(
invdtypes
:
dtype
.
Dtype
)
->
None
:
"""Test mod operation between two arrays of the same shape"""
with
pytest
.
raises
(
RuntimeError
):
shape
=
(
3
,
3
)
lhs
=
wrapper
.
randu
(
shape
,
invdtypes
)
rhs
=
wrapper
.
randu
(
shape
,
invdtypes
)
result
=
wrapper
.
mod
(
lhs
,
rhs
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
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_neg_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test arg operation between two arrays of the same shape"""
check_type_supported
(
dtype_name
)
out
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
neg
(
out
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
@
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_rem_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test remainder operation between two arrays of the same shape"""
check_type_supported
(
dtype_name
)
lhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
rhs
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
rem
(
lhs
,
rhs
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
@
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_round_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test round operation between two arrays of the same shape"""
check_type_supported
(
dtype_name
)
out
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
round_
(
out
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
@
pytest
.
mark
.
parametrize
(
"invdtypes"
,
get_complex_types
())
def
test_round_shapes_invalid
(
invdtypes
:
dtype
.
Dtype
)
->
None
:
"""Test round operation between two arrays of the same shape"""
with
pytest
.
raises
(
RuntimeError
):
shape
=
(
3
,
3
)
out
=
wrapper
.
randu
(
shape
,
invdtypes
)
result
=
wrapper
.
round_
(
out
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
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_real_types
())
def
test_sign_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test round operation between two arrays of the same shape"""
check_type_supported
(
dtype_name
)
out
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
sign
(
out
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
@
pytest
.
mark
.
parametrize
(
"invdtypes"
,
get_complex_types
())
def
test_sign_shapes_invalid
(
invdtypes
:
dtype
.
Dtype
)
->
None
:
"""Test sign operation between two arrays of the same shape"""
with
pytest
.
raises
(
RuntimeError
):
shape
=
(
3
,
3
)
out
=
wrapper
.
randu
(
shape
,
invdtypes
)
result
=
wrapper
.
sign
(
out
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
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_real_types
())
def
test_trunc_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test truncating operation for an array with varying shape"""
check_type_supported
(
dtype_name
)
out
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
trunc
(
out
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
@
pytest
.
mark
.
parametrize
(
"invdtypes"
,
get_complex_types
())
def
test_trunc_shapes_invalid
(
invdtypes
:
dtype
.
Dtype
)
->
None
:
"""Test trunc operation for an array with varrying shape and invalid dtypes"""
with
pytest
.
raises
(
RuntimeError
):
shape
=
(
3
,
3
)
out
=
wrapper
.
randu
(
shape
,
invdtypes
)
result
=
wrapper
.
trunc
(
out
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
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
)),
],
)
def
test_hypot_shape_dtypes
(
shape
:
tuple
)
->
None
:
"""Test hypotenuse operation between two arrays of the same shape"""
lhs
=
wrapper
.
randu
(
shape
,
dtype
.
f32
)
rhs
=
wrapper
.
randu
(
shape
,
dtype
.
f32
)
result
=
wrapper
.
hypot
(
lhs
,
rhs
,
True
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype
.
f32
}
"
@
pytest
.
mark
.
parametrize
(
"invdtypes"
,
[
dtype
.
int32
,
dtype
.
uint32
,
],
)
def
test_hypot_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
)
wrapper
.
hypot
(
rhs
,
lhs
,
True
)
@
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_clamp_shape_dtypes
(
shape
:
tuple
,
dtype_name
:
dtype
.
Dtype
)
->
None
:
"""Test clamp operation between two arrays of the same shape"""
check_type_supported
(
dtype_name
)
og
=
wrapper
.
randu
(
shape
,
dtype_name
)
low
=
wrapper
.
randu
(
shape
,
dtype_name
)
high
=
wrapper
.
randu
(
shape
,
dtype_name
)
result
=
wrapper
.
clamp
(
og
,
low
,
high
,
False
)
assert
(
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa
),
f"failed for shape:
{
shape
}
and dtype
{
dtype_name
}
"
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