class_docstr: Given flist, apply random speed perturbation
class_docstr_tok: ["Given","flist",",","apply","random","speed","perturbation"]
code: def __init__(self, flist: List[str], sample_rate: int):
      super().__init__()
      self.flist = flist
      self.sample_rate = sample_rate
      self.rng = None
  
imports: import os
  import platform
  import sys
  from concurrent.futures import ProcessPoolExecutor
  from typing import List, Tuple
  from unittest import skipIf
  import numpy
  import torch
  import torchaudio
  from torchaudio_unittest.common_utils import get_whitenoise, PytorchTestCase, save_wav, skipIfNoSox, TempDirMixin
label_desc: Use image node_id 1 to create a new RandomPerturbationFile object from inherited base classes: torch.utils.data with example: obj = RandomPerturbationFile(flist, sample_rate)