code: def segment_test():
      x = T.range(0, 11)
      x = x.repeat(8, 1).unsqueeze(1)
      segment_ids = T.randint(0, 7, (8,))
  
      segments = segment(x, segment_ids, segment_size=4)
      for idx, start_indx in enumerate(segment_ids):
          assert (
              x[idx, :, start_indx : start_indx + 4].sum()
              == segments[idx, :, :].sum()
          )
  
      try:
          segments = segment(x, segment_ids, segment_size=10)
          raise Exception("Should have failed")
      except:
          pass
  
      segments = segment(
          x, segment_ids, segment_size=10, pad_short=True
      )
      for idx, start_indx in enumerate(segment_ids):
          assert (
              x[idx, :, start_indx : start_indx + 10].sum()
              == segments[idx, :, :].sum()
          )
  
imports: import torch
  from TTS.tts.utils.helpers import average_over_durations, generate_path, rand_segments, segment, sequence_mask
label_desc: Use image node_id 3 for calling a global function with example usage: segment_test() without return types