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| author | Aaron Meurer <asmeurer@gmail.com> | 2021-08-04 19:57:46 -0600 |
|---|---|---|
| committer | Aaron Meurer <asmeurer@gmail.com> | 2021-08-04 19:57:46 -0600 |
| commit | c23abdc57b2e6c0fa4f939085374c01c1c4452a9 (patch) | |
| tree | ea63fa7dbdea9011b4eba0cff089a192af19cd89 /numpy | |
| parent | 7e6a026f4dff0ebe49913a119f2555562e4e93be (diff) | |
| download | numpy-c23abdc57b2e6c0fa4f939085374c01c1c4452a9.tar.gz | |
Remove asarray() calls from the array API statistical functions
asarray() is already called in Array._new.
Diffstat (limited to 'numpy')
| -rw-r--r-- | numpy/array_api/_statistical_functions.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/array_api/_statistical_functions.py b/numpy/array_api/_statistical_functions.py index 61fc60c46..a606203bc 100644 --- a/numpy/array_api/_statistical_functions.py +++ b/numpy/array_api/_statistical_functions.py @@ -10,21 +10,21 @@ def max(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keep return Array._new(np.max(x._array, axis=axis, keepdims=keepdims)) def mean(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False) -> Array: - return Array._new(np.asarray(np.mean(x._array, axis=axis, keepdims=keepdims))) + return Array._new(np.mean(x._array, axis=axis, keepdims=keepdims)) def min(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False) -> Array: return Array._new(np.min(x._array, axis=axis, keepdims=keepdims)) def prod(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False) -> Array: - return Array._new(np.asarray(np.prod(x._array, axis=axis, keepdims=keepdims))) + return Array._new(np.prod(x._array, axis=axis, keepdims=keepdims)) def std(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, correction: Union[int, float] = 0.0, keepdims: bool = False) -> Array: # Note: the keyword argument correction is different here - return Array._new(np.asarray(np.std(x._array, axis=axis, ddof=correction, keepdims=keepdims))) + return Array._new(np.std(x._array, axis=axis, ddof=correction, keepdims=keepdims)) def sum(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False) -> Array: - return Array._new(np.asarray(np.sum(x._array, axis=axis, keepdims=keepdims))) + return Array._new(np.sum(x._array, axis=axis, keepdims=keepdims)) def var(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, correction: Union[int, float] = 0.0, keepdims: bool = False) -> Array: # Note: the keyword argument correction is different here - return Array._new(np.asarray(np.var(x._array, axis=axis, ddof=correction, keepdims=keepdims))) + return Array._new(np.var(x._array, axis=axis, ddof=correction, keepdims=keepdims)) |