code: def n_(node, output_format, nested=False, module=None):
      if isinstance(node, list):
          node_name = "_".join([str(n.name) for n in node])
      else:
          node_name = str(node.name)
      if module is not None and nested:
          node_name = module.name + "/" + node_name
      if output_format == "simple" and ":" in node_name:
          return node_name.split(":")[0]
      elif output_format == "full" and hasattr(node, "output"):
          return node.output.name
      return node_name
  
imports: import json
  import os
  from collections import OrderedDict
  import numpy
  import tensorflow
  import tensorflow.keras.backend
  from tensorflow.keras import Sequential
  from tensorflow.keras.models import Model
label_desc: Use image node_id 3 for calling a global function with example usage: n_(node, output_format, nested, module) and returns: node_name, node_name, node