code: def rand_segments_test():
      x = T.rand(2, 3, 4)
      x_lens = T.randint(3, 4, (2,))
      segments, seg_idxs = rand_segments(x, x_lens, segment_size=3)
      assert segments.shape == (2, 3, 3)
      assert all(seg_idxs >= 0), seg_idxs
      try:
          segments, _ = rand_segments(x, x_lens, segment_size=5)
          raise Exception("Should have failed")
      except:
          pass
      x_lens_back = x_lens.clone()
      segments, seg_idxs = rand_segments(
          x,
          x_lens.clone(),
          segment_size=5,
          pad_short=True,
          let_short_samples=True,
      )
      assert segments.shape == (2, 3, 5)
      assert all(seg_idxs >= 0), seg_idxs
      assert all(x_lens_back == x_lens)
  
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 4 for calling a global function with example usage: rand_segments_test() without return types