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arrayfire-binary-python-wrapper/tests/test_iota.py at master · arrayfire/arrayfire-binary-python-wrapper · GitHub
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test_iota.py
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tests
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test_iota.py
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import
random
import
numpy
as
np
import
pytest
import
arrayfire_wrapper
.
dtypes
as
dtypes
import
arrayfire_wrapper
.
lib
as
wrapper
@
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_iota_shape
(
shape
:
tuple
)
->
None
:
"""Test if identity creates an array with the correct shape"""
dtype
=
dtypes
.
s16
t_shape
=
(
1
,
1
)
result
=
wrapper
.
iota
(
shape
,
t_shape
,
dtype
)
assert
wrapper
.
get_dims
(
result
)[
0
:
len
(
shape
)]
==
shape
# noqa: E203
def
test_iota_invalid_shape
()
->
None
:
"""Test if iota handles a shape with greater than 4 dimensions"""
with
pytest
.
raises
(
TypeError
)
as
excinfo
:
invalid_shape
=
(
random
.
randint
(
1
,
10
),
random
.
randint
(
1
,
10
),
random
.
randint
(
1
,
10
),
random
.
randint
(
1
,
10
),
random
.
randint
(
1
,
10
),
)
dtype
=
dtypes
.
s16
t_shape
=
()
wrapper
.
iota
(
invalid_shape
,
t_shape
,
dtype
)
assert
f"CShape.__init__() takes from 1 to 5 positional arguments but
{
len
(
invalid_shape
)
+
1
}
were given"
in
str
(
excinfo
.
value
)
@
pytest
.
mark
.
parametrize
(
"t_shape"
,
[
(
1
,),
(
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_iota_tshape
(
t_shape
:
tuple
)
->
None
:
"""Test if iota properly uses t_shape to change the size of the array and result in correct dimensions"""
shape
=
np
.
array
([
2
,
2
])
dtype
=
dtypes
.
s64
if
len
(
shape
.
shape
)
<
len
(
t_shape
):
shape
=
np
.
append
(
shape
,
np
.
ones
(
len
(
t_shape
)
-
len
(
shape
),
dtype
=
int
))
result_shape
=
shape
*
t_shape
result
=
wrapper
.
iota
(
tuple
(
shape
),
t_shape
,
dtype
)
result_dims
=
tuple
(
int
(
value
)
for
value
in
wrapper
.
get_dims
(
result
))
assert
(
result_dims
[
0
:
len
(
result_shape
)]
==
result_shape
).
all
()
# noqa: E203
@
pytest
.
mark
.
parametrize
(
"t_shape"
,
[
(
0
,),
(
-
1
,
-
1
),
],
)
def
test_iota_tshape_zero
(
t_shape
:
tuple
)
->
None
:
"""Test it iota properly handles negative or zero t_shapes"""
with
pytest
.
raises
(
RuntimeError
):
shape
=
(
2
,
2
)
dtype
=
dtypes
.
s16
wrapper
.
iota
(
shape
,
t_shape
,
dtype
)
def
test_iota_tshape_invalid
()
->
None
:
"""Test it iota properly handles a tshape with greater than 4 dimensions"""
with
pytest
.
raises
(
TypeError
):
shape
=
(
2
,
2
)
invalid_tshape
=
(
random
.
randint
(
1
,
10
),
random
.
randint
(
1
,
10
),
random
.
randint
(
1
,
10
),
random
.
randint
(
1
,
10
),
random
.
randint
(
1
,
10
),
)
dtype
=
dtypes
.
s16
wrapper
.
iota
(
shape
,
invalid_tshape
,
dtype
)
@
pytest
.
mark
.
parametrize
(
"dtype_index"
,
[
i
for
i
in
range
(
13
)],
)
def
test_iota_dtype
(
dtype_index
:
int
)
->
None
:
"""Test if iota creates an array with the correct dtype"""
if
(
dtype_index
in
[
1
,
4
])
or
(
dtype_index
in
[
2
,
3
]
and
not
wrapper
.
get_dbl_support
()):
pytest
.
skip
()
shape
=
(
5
,
5
)
t_shape
=
(
2
,
2
)
dtype
=
dtypes
.
c_api_value_to_dtype
(
dtype_index
)
result
=
wrapper
.
iota
(
shape
,
t_shape
,
dtype
)
assert
dtypes
.
c_api_value_to_dtype
(
wrapper
.
get_type
(
result
))
==
dtype
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