code: def test_init_from_config(self):
      config = deepcopy(config_global)
      config.mel_statistics_parameter_path = parameter_path
      config.prenet_dim = 256
      model = Overflow.init_from_config(config_global)
      self.assertEqual(model.prenet_dim, config.prenet_dim)
  
imports: import os
  import random
  import unittest
  from copy import deepcopy
  import torch
  from tests import get_tests_output_path
  from TTS.tts.configs.overflow_config import OverflowConfig
  from TTS.tts.layers.overflow.common_layers import Encoder, Outputnet, OverflowUtils
  from TTS.tts.layers.overflow.decoder import Decoder
  from TTS.tts.layers.overflow.neural_hmm import EmissionModel, NeuralHMM, TransitionModel
  from TTS.tts.models.overflow import Overflow
  from TTS.tts.utils.helpers import sequence_mask
  from TTS.utils.audio import AudioProcessor
label_desc: Use image node_id 3 for calling the TestOverflow obj's underlying member method code with example usage: obj.test_init_from_config() without return types