prefer ignore[assignment] over explicit variable annotations for now - precursor PR to change global config so these won't be necessary

Author: simonjayhawkins

pandas/core/base.py

@@ -1100,9 +1100,9 @@ def unique(self):
         values = self._values
         if not isinstance(values, np.ndarray):
             # i.e. ExtensionArray
-            result: np.ndarray | ExtensionArray = values.unique()
+            result = values.unique()
         else:
-            result = algorithms.unique1d(values)
+            result = algorithms.unique1d(values)  # type: ignore[assignment]
         return result
 
     @final

pandas/core/indexes/base.py

@@ -3301,12 +3301,10 @@ def _intersection(self, other: Index, sort: bool = False):
                 if is_numeric_dtype(self.dtype):
                     # This is faster, because Index.unique() checks for uniqueness
                     # before calculating the unique values.
-                    res: Index | ExtensionArray | np.ndarray = algos.unique1d(
-                        res_indexer
-                    )
+                    res = algos.unique1d(res_indexer)
                 else:
                     result = self.take(indexer)
-                    res = result.drop_duplicates()
+                    res = result.drop_duplicates()  # type: ignore[assignment]
                 return ensure_wrapped_if_datetimelike(res)
 
         res_values = self._intersection_via_get_indexer(other, sort=sort)