Ignore override in type checking

pandas/core/indexes/datetimelike.py

@@ -843,11 +843,16 @@ def take(
             result._data._freq = freq
         return result
 
-    def _shallow_copy(
-        self, values, name: Hashable = no_default, level_codes=no_default
+    @doc(Index._shallow_copy)
+    def _shallow_copy( # type: ignore[override]
+        self,
+        values,
+        name: Hashable = no_default,
+        level_codes=no_default,
     ) -> Self:
-        result = super()._shallow_copy(values=values, name=name)
-        if level_codes is not lib.no_default:
+        name = self._name if name is no_default else name
+        result = self._simple_new(values, name=name, refs=self._references)
+        if level_codes is not no_default:
             indices = np.asarray(level_codes, dtype=np.intp)
             maybe_slice = lib.maybe_indices_to_slice(indices, len(values))
             if isinstance(maybe_slice, slice):