code: def _config_zero_init(config):
      configs_no_init = copy.deepcopy(config)
      for key in configs_no_init.__dict__.keys():
          if (
              "_range" in key
              or "_std" in key
              or "initializer_factor" in key
          ):
              setattr(configs_no_init, key, 1e-10)
      return configs_no_init
  
imports: import copy
  import inspect
  import json
  import random
  import tempfile
  import unittest
  from typing import List, Tuple
  import numpy
  import transformers
  from huggingface_hub import HfFolder, delete_repo, set_access_token
  from requests.exceptions import HTTPError
  from transformers import BertConfig, is_flax_available, is_torch_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import TOKEN, USER, CaptureLogger, is_pt_flax_cross_test, is_staging_test, require_flax, torch_device
  from transformers.utils import logging
  from transformers.utils.generic import ModelOutput
label_desc: Use image node_id 1 for calling a global function with example usage: _config_zero_init(config) and returns: configs_no_init