code: def get_config(self):
      return FNetConfig(
          vocab_size=self.vocab_size,
          hidden_size=self.hidden_size,
          num_hidden_layers=self.num_hidden_layers,
          intermediate_size=self.intermediate_size,
          hidden_act=self.hidden_act,
          hidden_dropout_prob=self.hidden_dropout_prob,
          max_position_embeddings=self.max_position_embeddings,
          type_vocab_size=self.type_vocab_size,
          initializer_range=self.initializer_range,
          tpu_short_seq_length=self.seq_length,
      )
  
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
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 3 for calling the FNetModelTester obj's underlying member method code with example usage: obj.get_config() and returns: FNetConfig