code: def get_config(self):
      return MCTCTConfig(
          vocab_size=self.vocab_size,
          hidden_size=self.hidden_size,
          num_hidden_layers=self.num_hidden_layers,
          intermediate_size=self.intermediate_size,
          num_attention_heads=self.num_attention_heads,
          attention_head_dim=self.attention_head_dim,
          max_position_embeddings=self.max_position_embeddings,
          layer_norm_eps=self.layer_norm_eps,
          layerdrop=self.layerdrop,
          hidden_act=self.hidden_act,
          initializer_range=self.initializer_range,
          hidden_dropout_prob=self.hidden_dropout_prob,
          attention_probs_dropout_prob=self.attention_probs_dropout_prob,
          conv_glu_dim=self.conv_glu_dim,
          conv_dropout=self.conv_dropout,
          num_conv_layers=self.num_conv_layers,
          conv_kernel=self.conv_kernel,
          conv_stride=self.conv_stride,
          input_feat_per_channel=self.input_feat_per_channel,
          input_channels=self.input_channels,
          conv_channels=self.conv_channels,
      )
  
imports: import inspect
  import math
  import unittest
  from datasets import load_dataset
  from transformers import MCTCTConfig, is_torch_available
  from transformers.testing_utils import require_soundfile, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor, ids_tensor
label_desc: Use image node_id 3 for calling the MCTCTModelTester obj's underlying member method code with example usage: obj.get_config() and returns: MCTCTConfig