code: def test_separate(test_file, configuration):
      """Test separation from raw data."""
      instruments = MODEL_TO_INST[configuration]
      adapter = AudioAdapter.default()
      waveform, _ = adapter.load(test_file)
      separator = Separator(configuration, multiprocess=False)
      prediction = separator.separate(waveform, test_file)
      assert len(prediction) == len(instruments)
      for instrument in instruments:
          assert instrument in prediction
      for instrument in instruments:
          track = prediction[instrument]
          assert waveform.shape[:-1] == track.shape[:-1]
          assert not np.allclose(waveform, track)
          for compared in instruments:
              if instrument != compared:
                  assert not np.allclose(track, prediction[compared])
  
file_path: spleeter/tests/test_separator.py
imports: import itertools
  from os.path import basename, exists, join, splitext
  from tempfile import TemporaryDirectory
  import numpy
  import pytest
  import tensorflow
  from spleeter import SpleeterError
  from spleeter.audio.adapter import AudioAdapter
  from spleeter.separator import Separator
label_desc: Use image node_id 1 for calling a global function with example usage: test_separate(test_file, configuration) without return types