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from
__future__
import
annotations
import
arrayfire
as
af
from
.
_array_object
import
Array
from
.
_data_type_functions
import
astype
from
.
_dtypes
import
bool
as
array_api_bool
from
.
_statistical_functions
import
_compute_statistic
def
all
(
x
:
Array
,
/
,
*
,
axis
:
int
|
tuple
[
int
, ...]
|
None
=
None
,
keepdims
:
bool
=
False
,
)
->
Array
:
"""
Tests whether all input array elements evaluate to True along a specified axis.
Parameters
----------
x : Array
Input array.
axis : int | Tuple[int, ...] | None, optional
Axis or axes along which to perform a logical AND reduction. If None, a logical AND reduction is
performed over the entire array. If a tuple of integers, logical AND reductions are performed over
multiple axes. Default is None.
keepdims : bool, optional
If True, keeps the reduced dimensions as singleton dimensions in the result, making the result
compatible with the input array. If False, reduced dimensions are not included in the result. Default is False.
Returns
-------
out : Array
If a logical AND reduction was performed over the entire array, the returned array is a zero-dimensional
array containing the test result; otherwise, the returned array is a non-zero-dimensional array containing
the test results. The returned array has a data type of bool.
Notes
-----
- Positive infinity, negative infinity, and NaN must evaluate to True.
- If x has a complex floating-point data type, elements having a non-zero component must evaluate to True.
- If x is an empty array or the size of the axis along which to evaluate elements is zero, the test result must
be True.
"""
if
axis
is
None
:
axis
=
x
.
shape
result
=
_compute_statistic
(
x
,
af
.
all_true
,
axis
=
axis
,
keepdims
=
keepdims
)
return
astype
(
result
,
array_api_bool
)
def
any
(
x
:
Array
,
/
,
*
,
axis
:
int
|
tuple
[
int
, ...]
|
None
=
None
,
keepdims
:
bool
=
False
,
)
->
Array
:
"""
Tests whether any input array elements evaluate to True along a specified axis.
Parameters
----------
x : Array
Input array. Should have a numeric or boolean data type.
axis : int | Tuple[int, ...] | None, optional
Axis or axes along which to perform a logical OR reduction. If None, a logical OR reduction is
performed over the entire array. If a tuple of integers, logical OR reductions are performed over
multiple axes. A valid axis must be an integer within the interval [-N, N), where N is the rank
(number of dimensions) of x. Default is None.
keepdims : bool, optional
If True, the reduced axes (dimensions) are included in the result as singleton dimensions, making the
result compatible with the input array. If False, the reduced axes are not included in the result.
Default is False.
Returns
-------
out : Array
If a logical OR reduction was performed over the entire array, the returned array is a zero-dimensional
array containing the test result; otherwise, the returned array is a non-zero-dimensional array containing
the test results. The returned array has a data type of bool.
Notes
-----
- Positive infinity, negative infinity, and NaN are considered as True.
- If x has a complex floating-point data type, elements having a non-zero component must evaluate to True.
- If x is an empty array or the size of the axis along which to evaluate elements is zero, the test result must
be False.
"""
result
=
_compute_statistic
(
x
,
af
.
any_true
,
axis
=
axis
,
keepdims
=
keepdims
)
return
astype
(
result
,
array_api_bool
)
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