Temporary fix for unsupported ExplicitlyIndexedNDArrayMixin subclasses

Author: andersy005

xarray/coding/strings.py

@@ -249,6 +249,10 @@ def shape(self) -> tuple[int, ...]:
     def __repr__(self):
         return f"{type(self).__name__}({self.array!r})"
 
+    def _check_and_raise_if_non_basic_indexer(self, indexer) -> None:
+        ...
+        # TODO: this is a temporary fix until BackendArray supports vindex and oindex
+
     def __getitem__(self, key):
         # require slicing the last dimension completely
         key = type(key)(indexing.expanded_indexer(key.tuple, self.array.ndim))

xarray/coding/variables.py

@@ -68,6 +68,10 @@ def __init__(self, array, func: Callable, dtype: np.typing.DTypeLike):
     def dtype(self) -> np.dtype:
         return np.dtype(self._dtype)
 
+    def _check_and_raise_if_non_basic_indexer(self, indexer) -> None:
+        ...
+        # TODO: this is a temporary fix until BackendArray supports vindex and oindex
+
     def __getitem__(self, key):
         return type(self)(self.array[key], self.func, self.dtype)
 
@@ -107,6 +111,10 @@ def __init__(self, array) -> None:
     def dtype(self) -> np.dtype:
         return np.dtype(self.array.dtype.kind + str(self.array.dtype.itemsize))
 
+    def _check_and_raise_if_non_basic_indexer(self, indexer) -> None:
+        ...
+        # TODO: this is a temporary fix until BackendArray supports vindex and oindex
+
     def __getitem__(self, key) -> np.ndarray:
         return np.asarray(self.array[key], dtype=self.dtype)
 
@@ -139,6 +147,10 @@ def __init__(self, array) -> None:
     def dtype(self) -> np.dtype:
         return np.dtype("bool")
 
+    def _check_and_raise_if_non_basic_indexer(self, indexer) -> None:
+        ...
+        # TODO: this is a temporary fix until BackendArray supports vindex and oindex
+
     def __getitem__(self, key) -> np.ndarray:
         return np.asarray(self.array[key], dtype=self.dtype)