Fixes mistaken superclass call

hamilton/experimental/h_async.py

@@ -43,8 +43,7 @@ def __init__(self, result_builder: base.ResultMixin = None):
         super(AsyncGraphAdapter, self).__init__()
         self.result_builder = result_builder if result_builder else base.PandasDataFrameResult()
 
-    @staticmethod
-    def check_input_type(node_type: Type, input_value: Any) -> bool:
+    def check_input_type(self, node_type: Type, input_value: Any) -> bool:
         """Checks the input type to ensure that it is compatible with the node type.
         Note that this also allows coroutines, in case you want the DAG to await
         the result of calling the input.
@@ -53,7 +52,7 @@ def check_input_type(node_type: Type, input_value: Any) -> bool:
         :param input_value: Type of the actual input, received
         :return: Whether the actual input value matches the type expected
         """
-        return super().check_node_type_equivalence(node_type, input_value) or issubclass(input_value, types.CoroutineType)
+        return super().check_input_type(node_type, input_value) or isinstance(input_value, types.CoroutineType)
 
     def execute_node(self, node: node.Node, kwargs: typing.Dict[str, typing.Any]) -> typing.Any:
         """Executes a node. Note this doesn't actually execute it -- rather, it returns a task.