code: def get_config(self):
      return EncodecConfig(
          audio_channels=self.num_channels,
          chunk_in_sec=None,
          hidden_size=self.hidden_size,
          num_filters=self.num_filters,
          num_residual_layers=self.num_residual_layers,
          upsampling_ratios=self.upsampling_ratios,
          num_lstm_layers=self.num_lstm_layers,
          codebook_size=self.codebook_size,
      )
  
imports: import copy
  import inspect
  import os
  import tempfile
  import unittest
  from typing import Dict, List, Tuple
  import numpy
  from datasets import Audio, load_dataset
  from transformers import AutoProcessor, EncodecConfig
  from transformers.testing_utils import is_torch_available, require_torch, slow, torch_device
  from ...test_configuration_common import ConfigTester
  from ...test_modeling_common import ModelTesterMixin, _config_zero_init, floats_tensor
  from ...test_pipeline_mixin import PipelineTesterMixin
label_desc: Use image node_id 4 for calling the EncodecModelTester obj's underlying member method code with example usage: obj.get_config() and returns: EncodecConfig