code: def sampler():
      cfg = get_data_simulation_configs()
      sampler = SpeechSampler(cfg)
      # Must get session-wise randomized silence/overlap mean
      sampler.get_session_overlap_mean()
      sampler.get_session_silence_mean()
      return sampler
  
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 2 for calling a global function with example usage: sampler() and returns: sampler