Remove the multi-dimensional error fallback from NestedFrame.query.

This logic was copied from pd.DataFrame.query, and the accompanying
comment said that it was to handle an occasional case where
`self.loc[b]` would raise an error on a multi-dimensional `b`, but
`self[b]` would succeed.  I can't cause this error with `.loc` anymore,
so the code coverage complains about the unexercised exception
clause.  Removing it since the limitation that inspired it seems
to be gone now.

src/nested_pandas/nestedframe/core.py

@@ -475,18 +475,13 @@ def query(self, expr: str, *, inplace: bool = False, **kwargs) -> NestedFrame |
         # which means that a nested attribute was referenced.  Apply this result
         # to the nest and repack.  Otherwise, apply it to this instance as usual,
         # since it operated on the base attributes.
-        try:
-            if isinstance(result, NestedSeries):
-                nest_name, flat_nest = result.nest_name, result.flat_nest
-                new_flat_nest = flat_nest.loc[result]
-                result = self.copy()
-                result[nest_name] = pack_sorted_df_into_struct(new_flat_nest)
-            else:
-                result = self.loc[result]
-        except ValueError:
-            # when res is multi-dimensional loc raises, but this is sometimes a
-            # valid query
-            result = self[result]
+        if isinstance(result, NestedSeries):
+            nest_name, flat_nest = result.nest_name, result.flat_nest
+            new_flat_nest = flat_nest.loc[result]
+            result = self.copy()
+            result[nest_name] = pack_sorted_df_into_struct(new_flat_nest)
+        else:
+            result = self.loc[result]
 
         if inplace:
             self._update_inplace(result)