mypy

xarray/core/indexes.py

@@ -161,7 +161,7 @@ def unstack(self) -> tuple[dict[Hashable, Index], pd.MultiIndex]:
         raise NotImplementedError()
 
     def create_variables(
-        self, variables: Mapping[Any, Variable] | None = None
+        self, variables: Mapping[Any, Variable] | None = None, *, fastpath=False,
     ) -> IndexVars:
         """Maybe create new coordinate variables from this index.
 
@@ -1132,7 +1132,7 @@ def reorder_levels(
         return self._replace(index, level_coords_dtype=level_coords_dtype)
 
     def create_variables(
-        self, variables: Mapping[Any, Variable] | None = None
+        self, variables: Mapping[Any, Variable] | None = None, *, fastpath=False
     ) -> IndexVars:
         from xarray.core.variable import IndexVariable
 
@@ -1787,11 +1787,11 @@ def _apply_indexes_fast(indexes: Indexes[Index], args: Mapping[Any, Any], func:
     # which is really slow when repeatidly iterating through
     # an array. However, it fails to return the correct ID for
     # multi-index arrays
-    indexes, coords = indexes._indexes, indexes._variables
+    indexes_fast, coords = indexes._indexes, indexes._variables
 
-    new_indexes: dict[Hashable, Index] = {k: v for k, v in indexes.items()}
+    new_indexes: dict[Hashable, Index] = {k: v for k, v in indexes_fast.items()}
     new_index_variables: dict[Hashable, Variable] = {}
-    for name, index in indexes.items():
+    for name, index in indexes_fast.items():
         coord = coords[name]
         if hasattr(coord, "_indexes"):
             index_vars = {n: coords[n] for n in coord._indexes}