code: def test_sample_from_silence_model(
      self, sampler, running_len_samples, running_overlap_len_samples
  ):
      sampler.get_session_silence_mean()
      self.running_overlap_len_samples = running_overlap_len_samples
      silence_amount = sampler.sample_from_silence_model(
          running_len_samples=running_len_samples
      )
      assert type(silence_amount) == int
      assert 0 <= silence_amount
  
imports: import os
  import numpy
  import pytest
  import torch
  from omegaconf import DictConfig
  from nemo.collections.asr.parts.utils.data_simulation_utils import DataAnnotator, SpeechSampler, add_silence_to_alignments, binary_search_alignments, get_cleaned_base_path, get_split_points_in_alignments, normalize_audio, read_noise_manifest
  from nemo.collections.asr.parts.utils.manifest_utils import get_ctm_line
label_desc: Use image node_id 9 for calling the TestSpeechSampler obj's underlying member method code with example usage: obj.test_sample_from_silence_model(sampler, running_len_samples, running_overlap_len_samples) without return types