Satisfy mypy 1.11.1

Temporarily ignore safe-super errors (may be python/mypy#14757).

genno/core/attrseries.py

@@ -280,7 +280,7 @@ def clip(
         if pandas_version() < Version("2.1.0"):
             return self._replace(pd.Series(self).clip(min, max))
         else:
-            return super(pd.Series, self).clip(min, max)
+            return super().clip(min, max)  # type: ignore [safe-super]
 
     def drop(self, label):
         """Like :meth:`xarray.DataArray.drop`."""
@@ -610,7 +610,7 @@ def where(
             raise NotImplementedError("where(…, drop=True)")
         elif axis is not None or inplace is not False:
             raise NotImplementedError("where(…, axis=…) or where(…, inplace=…)")
-        return super().where(cond, other)
+        return super().where(cond, other)  # type: ignore [safe-super]
 
     @property
     def xindexes(self):  # pragma: no cover

genno/core/operator.py

@@ -93,8 +93,10 @@ def decorator(func: Callable) -> "Operator":
             #    which will skip documenting items that have the same __doc__ as their
             #    class
             result = update_wrapper(klass(), func, updated=())
+            assert isinstance(result, Operator)  # For mypy
 
             if helper:
+                # Register the provided `helper` method for the class
                 result.helper(helper)
 
             return result

genno/operator.py

@@ -946,15 +946,18 @@ def select(
         coords = qty.coords
         idx = dict()
         for dim, labels in indexers.items():
-            s = is_scalar(labels)
-            # Check coords equal to (scalar) label or contained in (iterable of) labels
-            op1 = partial(operator.eq if s else operator.contains, labels)
-            # Take either 1 item (scalar label) or all (collection of labels)
-            ig = operator.itemgetter(0 if s else slice(None))
+            if is_scalar(labels):
+                # Check coords equal to scalar label
+                op1 = partial(operator.eq, labels)
+                # Take 1 item
+                item: Union[int, slice] = 0
+            else:
+                # Check coords contained in collection of labels; take all
+                op1, item = partial(operator.contains, set(labels)), slice(None)
 
             try:
                 # Use only the values from `indexers` (not) appearing in `qty.coords`
-                idx[dim] = ig(list(filter(lambda x: op2(op1(x)), coords[dim].data)))
+                idx[dim] = list(filter(lambda x: op2(op1(x)), coords[dim].data))[item]
             except IndexError:
                 raise KeyError(f"value {labels!r} not found in index {dim!r}")