code: def assert_valid_config(**kwargs):
      expected_keys = set(get_default_config().keys())
      for kwarg in kwargs:
          if kwarg not in expected_keys:
              raise FinetuneError(
                  "Unexpected setting configuration: `{}` is an invalid keyword. "
                  "Did you mean `{}`?".format(
                      kwarg, did_you_mean(kwarg, expected_keys)
                  )
              )
  
imports: import logging
  import os
  import os.path
  import warnings
  from collections import namedtuple
  from functools import lru_cache
  import numpy
  from nltk.metrics.distance import edit_distance
  import finetune
  from finetune.errors import FinetuneError
  from finetune.base_models import RoBERTa
  import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: assert_valid_config() without return types