Remove asarray() calls from the array API statistical functions

asarray() is already called in Array._new.

Author: asmeurer

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))