Run (selective) black on the array_api submodule

I've omitted a few changes from black that messed up the readability of some
complicated if statements that were organized logically line-by-line, and some
changes that use unnecessary operator spacing.

1 files changed, 58 insertions, 7 deletions

diff --git a/numpy/array_api/_statistical_functions.py b/numpy/array_api/_statistical_functions.py
index a606203bc..63790b447 100644
--- a/numpy/array_api/_statistical_functions.py
+++ b/numpy/array_api/_statistical_functions.py
@@ -6,25 +6,76 @@ from typing import Optional, Tuple, Union
 
 import numpy as np
 
-def max(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False) -> Array:
+
+def max(
+    x: Array,
+    /,
+    *,
+    axis: Optional[Union[int, Tuple[int, ...]]] = None,
+    keepdims: bool = False,
+) -> Array:
     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:
+
+def mean(
+    x: Array,
+    /,
+    *,
+    axis: Optional[Union[int, Tuple[int, ...]]] = None,
+    keepdims: bool = False,
+) -> Array:
     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:
+
+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:
+
+def prod(
+    x: Array,
+    /,
+    *,
+    axis: Optional[Union[int, Tuple[int, ...]]] = None,
+    keepdims: bool = False,
+) -> Array:
     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:
+
+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.std(x._array, axis=axis, ddof=correction, keepdims=keepdims))
 
-def sum(x: Array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None, keepdims: bool = False) -> Array:
+
+def sum(
+    x: Array,
+    /,
+    *,
+    axis: Optional[Union[int, Tuple[int, ...]]] = None,
+    keepdims: bool = False,
+) -> Array:
     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:
+
+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.var(x._array, axis=axis, ddof=correction, keepdims=keepdims))