ashb commented on a change in pull request #20034:
URL: https://github.com/apache/airflow/pull/20034#discussion_r770950930



##########
File path: airflow/decorators/base.py
##########
@@ -101,22 +102,22 @@ class DecoratedOperator(BaseOperator):
     :type kwargs_to_upstream: dict
     """
 
-    template_fields: Iterable[str] = ('op_args', 'op_kwargs')
+    template_fields: Sequence[str] = ('op_args', 'op_kwargs')
     template_fields_renderers = {"op_args": "py", "op_kwargs": "py"}
 
     # since we won't mutate the arguments, we should just do the shallow copy
     # there are some cases we can't deepcopy the objects (e.g protobuf).
-    shallow_copy_attrs = ('python_callable',)
+    shallow_copy_attrs: Tuple[str, ...] = ('python_callable',)

Review comment:
       ```suggestion
       shallow_copy_attrs: Sequence[str] = ('python_callable',)
   ```

##########
File path: airflow/operators/python.py
##########
@@ -131,14 +131,14 @@ def my_python_callable(**kwargs):
     :type show_return_value_in_logs: bool
     """
 
-    template_fields = ('templates_dict', 'op_args', 'op_kwargs')
+    template_fields: Sequence[str] = ('templates_dict', 'op_args', 'op_kwargs')

Review comment:
       Do we need to specify the typing here? Doesn't it automatically take the 
typing from the parent class?

##########
File path: airflow/decorators/base.py
##########
@@ -101,22 +102,22 @@ class DecoratedOperator(BaseOperator):
     :type kwargs_to_upstream: dict
     """
 
-    template_fields = ('op_args', 'op_kwargs')
+    template_fields: Tuple[str, ...] = ('op_args', 'op_kwargs')
     template_fields_renderers = {"op_args": "py", "op_kwargs": "py"}
 
     # since we won't mutate the arguments, we should just do the shallow copy
     # there are some cases we can't deepcopy the objects (e.g protobuf).
-    shallow_copy_attrs = ('python_callable',)
+    shallow_copy_attrs: Tuple[str, ...] = ('python_callable',)
 
     def __init__(
         self,
         *,
         python_callable: Callable,
         task_id: str,
-        op_args: Tuple[Any],
+        op_args: List,

Review comment:
       This one is should share the type annotation with whatever 
PythonOperator `op_args` has.




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