clean up some idioms

Author: jreback

pandas/core/arrays/_mask.py

@@ -11,17 +11,6 @@
 class _MaskArray:
     _typ = "maskarray"
 
-    def _reduce(self, method, skipna=True, **kwargs):
-        if skipna:
-            arr = self[~self.isna()]
-        else:
-            arr = self
-
-        try:
-            op = getattr(arr, method)
-        except AttributeError:
-            raise TypeError
-        return op(**kwargs)
 
 
 def get_mask_array_type():

pandas/core/arrays/_numpy_bool.py

@@ -97,3 +97,15 @@ def sum(self, axis=None):
 
     def take(self, indicies, **kwargs):
         return np.array(self, copy=False).take(indicies)
+
+    def _reduce(self, method, skipna=True, **kwargs):
+        if skipna:
+            arr = self[~self.isna()]
+        else:
+            arr = self
+
+        try:
+            op = getattr(arr, method)
+        except AttributeError:
+            raise TypeError
+        return op(**kwargs)

pandas/core/arrays/_pyarrow_bool.py

@@ -162,21 +162,30 @@ def __invert__(self):
         )
 
     def __or__(self, other):
-        return np.array(
-            self, copy=False).__or__(np.array(other, copy=False))
+        return type(self).from_scalars(np.array(
+            self, copy=False).__or__(np.array(other, copy=False)))
 
     def __ior__(self, other):
-        return np.array(self, copy=False) | np.array(other, copy=False)
+        return type(self).from_scalars(
+            np.array(self, copy=False) | np.array(other, copy=False))
 
     def __and__(self, other):
-        return np.array(self, copy=False).__and__(np.array(other, copy=False))
+        return type(self).from_scalars(
+            np.array(self, copy=False).__and__(np.array(other, copy=False)))
 
     def __iand__(self, other):
-        return np.array(self, copy=False) & (np.array(other, copy=False))
+        return type(self).from_scalars(
+            np.array(self, copy=False) & (np.array(other, copy=False)))
 
     def __array__(self, dtype=None):
         return np.array(self._data, copy=False)
 
+    def any(self, axis=0, out=None):
+        return self._data.to_pandas().any()
+
+    def all(self, axis=0, out=None):
+        return self._data.to_pandas().all()
+
     def _reduce(self, method, skipna=True, **kwargs):
         if skipna:
             arr = self[~self.isna()]
@@ -188,9 +197,3 @@ def _reduce(self, method, skipna=True, **kwargs):
         except AttributeError:
             raise TypeError
         return op(**kwargs)
-
-    def any(self, axis=0, out=None):
-        return self._data.to_pandas().any()
-
-    def all(self, axis=0, out=None):
-        return self._data.to_pandas().all()