code: def test_keyword_and_dict_args(self):
      (
          config,
          inputs_dict,
      ) = self.model_tester.prepare_config_and_inputs_for_common()
  
      for model_class in self.all_model_classes:
          model = model_class(config)
          inputs = self._prepare_for_class(inputs_dict, model_class)
  
          outputs_dict = model(inputs)
  
          inputs_keywords = copy.deepcopy(
              self._prepare_for_class(inputs_dict, model_class)
          )
          input_values = inputs_keywords.pop("input_values", None)
          outputs_keywords = model(input_values, **inputs_keywords)
          output_dict = outputs_dict[0].numpy()
          output_keywords = outputs_keywords[0].numpy()
  
          self.assertLess(
              np.sum(np.abs(output_dict - output_keywords)), 1e-6
          )
  
imports: import copy
  import inspect
  import math
  import unittest
  import numpy
  import pytest
  from transformers import is_tf_available
  from transformers.testing_utils import require_soundfile, require_tf, slow
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_tf_common import TFModelTesterMixin, ids_tensor
label_desc: Use image node_id 3 for calling the TFHubertRobustModelTest obj's underlying member method code with example usage: obj.test_keyword_and_dict_args() without return types