code: def create_and_test_config_common_properties(self):
      config = self.config_class(**self.inputs_dict)
      if self.has_text_modality:
          self.parent.assertTrue(hasattr(config, "vocab_size"))
      self.parent.assertTrue(hasattr(config, "hidden_size"))
      self.parent.assertTrue(hasattr(config, "num_hidden_layers"))
  
imports: import unittest
  from typing import Dict, List, Tuple
  from transformers import FNetConfig, is_torch_available
  from transformers.models.auto import get_values
  from transformers.testing_utils import require_tokenizers, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, floats_tensor, ids_tensor
label_desc: Use image node_id 1 for calling the FNetConfigTester obj's underlying member method code with example usage: obj.create_and_test_config_common_properties() without return types