From a49ca2e88a64e4338aa3858e7696286bd3f27bfa Mon Sep 17 00:00:00 2001
From: Brock <jbrockmendel@gmail.com>
Date: Wed, 8 Dec 2021 08:50:44 -0800
Subject: [PATCH] REF: use dispatch_reduction_ufunc in
 PandasArray.__array_ufunc__

---
 pandas/core/arrays/numpy_.py | 25 +++++++++++++------------
 1 file changed, 13 insertions(+), 12 deletions(-)

diff --git a/pandas/core/arrays/numpy_.py b/pandas/core/arrays/numpy_.py
index bfc537062a304..579d77369d27c 100644
--- a/pandas/core/arrays/numpy_.py
+++ b/pandas/core/arrays/numpy_.py
@@ -18,6 +18,7 @@
 from pandas.core.dtypes.missing import isna
 
 from pandas.core import (
+    arraylike,
     nanops,
     ops,
 )
@@ -144,6 +145,14 @@ def __array_ufunc__(self, ufunc: np.ufunc, method: str, *inputs, **kwargs):
         if result is not NotImplemented:
             return result
 
+        if method == "reduce":
+            result = arraylike.dispatch_reduction_ufunc(
+                self, ufunc, method, *inputs, **kwargs
+            )
+            if result is not NotImplemented:
+                # e.g. tests.series.test_ufunc.TestNumpyReductions
+                return result
+
         # Defer to the implementation of the ufunc on unwrapped values.
         inputs = tuple(x._ndarray if isinstance(x, PandasArray) else x for x in inputs)
         if out:
@@ -153,13 +162,8 @@ def __array_ufunc__(self, ufunc: np.ufunc, method: str, *inputs, **kwargs):
         result = getattr(ufunc, method)(*inputs, **kwargs)
 
         if ufunc.nout > 1:
-            # multiple return values
-            if not lib.is_scalar(result[0]):
-                # re-box array-like results
-                return tuple(type(self)(x) for x in result)
-            else:
-                # but not scalar reductions
-                return result
+            # multiple return values; re-box array-like results
+            return tuple(type(self)(x) for x in result)
         elif method == "at":
             # no return value
             return None
@@ -171,11 +175,8 @@ def __array_ufunc__(self, ufunc: np.ufunc, method: str, *inputs, **kwargs):
             # e.g. test_np_max_nested_tuples
             return result
         else:
-            # one return value
-            if not lib.is_scalar(result):
-                # re-box array-like results, but not scalar reductions
-                result = type(self)(result)
-            return result
+            # one return value; re-box array-like results
+            return type(self)(result)
 
     # ------------------------------------------------------------------------
     # Pandas ExtensionArray Interface