class_docstr: Pipeline is a tool to create data transformation chains.
  
  Args:
      dag (`dict`): The dag for the pipeline.
      clo_node (`str`): The close node in the pipeline dag, defaults to '_input'.
code: def _nop_node_dict(input_schema, output_schema):
      fn_action = Pipeline._to_action(OPName.NOP)
      node_dict = {
          "inputs": input_schema,
          "outputs": output_schema,
          "op_info": fn_action.serialize(),
          "iter_info": {
              "type": MapConst.name,
              "param": None,
          },
          "config": None,
          "next_nodes": [],
      }
      return node_dict
  
imports: import uuid
  from copy import deepcopy
  from towhee.runtime.check_utils import TupleForm
  from towhee.runtime.operator_manager import OperatorAction
  from towhee.runtime.factory import _OperatorWrapper
  from towhee.runtime.runtime_pipeline import RuntimePipeline
  from towhee.runtime.constants import MapConst, WindowAllConst, WindowConst, ReduceConst, FilterConst, TimeWindowConst, FlatMapConst, ConcatConst, InputConst, OutputConst, OPName
label_desc: Use image node_id 14 for calling the Pipeline obj's underlying member method code with example usage: obj._nop_node_dict(input_schema, output_schema) and returns: node_dict