Use "import numpy as np" in the array_api submodule

This avoids importing everything inside the individual functions, but still is
preferred over importing the functions used explicitly, as most of them clash
with the wrapper function names.

1 files changed, 9 insertions, 14 deletions

diff --git a/numpy/_array_api/_statistical_functions.py b/numpy/_array_api/_statistical_functions.py
index 339835095..833c47f66 100644
--- a/numpy/_array_api/_statistical_functions.py
+++ b/numpy/_array_api/_statistical_functions.py
@@ -1,29 +1,24 @@
+import numpy as np
+
 def max(x, /, *, axis=None, keepdims=False):
-    from .. import max
-    return max(x, axis=axis, keepdims=keepdims)
+    return np.max(x, axis=axis, keepdims=keepdims)
 
 def mean(x, /, *, axis=None, keepdims=False):
-    from .. import mean
-    return mean(x, axis=axis, keepdims=keepdims)
+    return np.mean(x, axis=axis, keepdims=keepdims)
 
 def min(x, /, *, axis=None, keepdims=False):
-    from .. import min
-    return min(x, axis=axis, keepdims=keepdims)
+    return np.min(x, axis=axis, keepdims=keepdims)
 
 def prod(x, /, *, axis=None, keepdims=False):
-    from .. import prod
-    return prod(x, axis=axis, keepdims=keepdims)
+    return np.prod(x, axis=axis, keepdims=keepdims)
 
 def std(x, /, *, axis=None, correction=0.0, keepdims=False):
-    from .. import std
     # Note: the keyword argument correction is different here
-    return std(x, axis=axis, ddof=correction, keepdims=keepdims)
+    return np.std(x, axis=axis, ddof=correction, keepdims=keepdims)
 
 def sum(x, /, *, axis=None, keepdims=False):
-    from .. import sum
-    return sum(x, axis=axis, keepdims=keepdims)
+    return np.sum(x, axis=axis, keepdims=keepdims)
 
 def var(x, /, *, axis=None, correction=0.0, keepdims=False):
-    from .. import var
     # Note: the keyword argument correction is different here
-    return var(x, axis=axis, ddof=correction, keepdims=keepdims)
+    return np.var(x, axis=axis, ddof=correction, keepdims=keepdims)