code: def _open(data):
      registry = dict(
          [
              ("onnx.onnx_ml_pb2.ModelProto", ".onnx"),
              ("torch.jit._script.ScriptModule", ".pytorch"),
              ("torch.Graph", ".pytorch"),
              ("torch._C.Graph", ".pytorch"),
              ("torch.nn.modules.module.Module", ".pytorch"),
          ]
      )
      queue = [data.__class__]
      while len(queue) > 0:
          current = queue.pop(0)
          if current.__module__ and current.__name__:
              name = current.__module__ + "." + current.__name__
              if name in registry:
                  module_name = registry[name]
                  module = importlib.import_module(
                      module_name, package=__package__
                  )
                  model_factory = module.ModelFactory()
                  return model_factory.open(data)
          queue.extend(
              _ for _ in current.__bases__ if isinstance(_, type)
          )
      return None
  
imports: import errno
  import http.server
  import importlib.util
  import json
  import os
  import random
  import re
  import socket
  import socketserver
  import sys
  import threading
  import time
  import webbrowser
  import urllib.parse
label_desc: Use image node_id 1 for calling a global function with example usage: _open(data) and returns: None, model_factory