code: def test_SpecAuc_repr(
      apply_time_warp,
      apply_freq_mask,
      apply_time_mask,
      time_mask_width_range,
      time_mask_width_ratio_range,
  ):
      if (
          (
              not apply_time_warp
              and not apply_time_mask
              and not apply_freq_mask
          )
          or (
              apply_time_mask
              and time_mask_width_range is None
              and time_mask_width_ratio_range is None
          )
          or (
              apply_time_mask
              and time_mask_width_range is not None
              and time_mask_width_ratio_range is not None
          )
      ):
          return
      specaug = SpecAug(
          apply_time_warp=apply_time_warp,
          apply_freq_mask=apply_freq_mask,
          apply_time_mask=apply_time_mask,
          time_mask_width_range=time_mask_width_range,
          time_mask_width_ratio_range=time_mask_width_ratio_range,
      )
      print(specaug)
  
imports: import pytest
  import torch
  from espnet2.asr.specaug.specaug import SpecAug
label_desc: Use image node_id 2 for calling a global function with example usage: test_SpecAuc_repr(apply_time_warp, apply_freq_mask, apply_time_mask, time_mask_width_range, time_mask_width_ratio_range) without return types