code: def _get_hdemucs_model(
      sources: List[str], n_fft: int = 4096, depth: int = 6
  ):
      return HDemucs(sources, nfft=n_fft, depth=depth)
  
imports: import itertools
  from typing import List
  import torch
  from parameterized import parameterized
  from torchaudio.models._hdemucs import _HDecLayer, _HEncLayer, HDemucs, hdemucs_high, hdemucs_low
  from torchaudio_unittest.common_utils import skipIfNoModule, TestBaseMixin, TorchaudioTestCase
label_desc: Use image node_id 1 for calling a global function with example usage: _get_hdemucs_model(sources, n_fft, depth) and returns: HDemucs