code: def _scale_sample_indices(
      self, start_sample: int, end_sample: int, sample_rate: int
  ) -> Tuple[int, int]:
      sample_rate_ratio = sample_rate / self.vad_sample_rate
      start_sample = int(sample_rate_ratio * start_sample)
      end_sample = int(sample_rate_ratio * end_sample)
      return start_sample, end_sample
  
imports: from abc import ABC, abstractmethod
  from typing import Tuple
  import librosa
  import numpy
  import torch
  from nemo.collections.asr.models import EncDecClassificationModel
  from nemo.collections.tts.parts.utils.tts_dataset_utils import normalize_volume
  from nemo.utils import logging
label_desc: Use image node_id 3 for calling the VadAudioTrimmer obj's underlying member method code with example usage: obj._scale_sample_indices(start_sample, end_sample, sample_rate) and returns: start_sample,  end_sample