REF: de-duplicate take_nd

pandas/core/internals/blocks.py

@@ -881,8 +881,13 @@ def take_nd(
         )
 
         # Called from three places in managers, all of which satisfy
-        #  this assertion
+        #  these assertions
+        if isinstance(self, ExtensionBlock):
+            # NB: in this case, the 'axis' kwarg will be ignored in the
+            #  algos.take_nd call above.
+            assert not (self.ndim == 1 and new_mgr_locs is None)
         assert not (axis == 0 and new_mgr_locs is None)
+
         if new_mgr_locs is None:
             new_mgr_locs = self._mgr_locs
 
@@ -1752,33 +1757,6 @@ def is_view(self) -> bool:
     def is_numeric(self):
         return self.values.dtype._is_numeric
 
-    def take_nd(
-        self,
-        indexer: npt.NDArray[np.intp],
-        axis: int = 0,
-        new_mgr_locs: BlockPlacement | None = None,
-        fill_value=lib.no_default,
-    ) -> Block:
-        """
-        Take values according to indexer and return them as a block.
-        """
-        if fill_value is lib.no_default:
-            fill_value = None
-
-        # TODO(EA2D): special case not needed with 2D EAs
-        # axis doesn't matter; we are really a single-dim object
-        # but are passed the axis depending on the calling routing
-        # if its REALLY axis 0, then this will be a reindex and not a take
-        new_values = self.values.take(indexer, fill_value=fill_value, allow_fill=True)
-
-        # Called from three places in managers, all of which satisfy
-        #  this assertion
-        assert not (self.ndim == 1 and new_mgr_locs is None)
-        if new_mgr_locs is None:
-            new_mgr_locs = self._mgr_locs
-
-        return self.make_block_same_class(new_values, new_mgr_locs)
-
     def _slice(
         self, slicer: slice | npt.NDArray[np.bool_] | npt.NDArray[np.intp]
     ) -> ExtensionArray:

pandas/core/internals/managers.py

@@ -725,6 +725,9 @@ def reindex_indexer(
             result.axes[axis] = new_axis
             return result
 
+        # Should be intp, but in some cases we get int64 on 32bit builds
+        assert isinstance(indexer, np.ndarray)
+
         # some axes don't allow reindexing with dups
         if not allow_dups:
             self.axes[axis]._validate_can_reindex(indexer)