code: def get_data_simulation_configs():
      config_dict = {
          "data_simulator": {
              "manifest_filepath": "???",
              "sr": 16000,
              "random_seed": 42,
              "multiprocessing_chunksize": 10000,
              "session_config": {
                  "num_speakers": 4,
                  "num_sessions": 60,
                  "session_length": 600,
              },
              "session_params": {
                  "max_audio_read_sec": 20,
                  "sentence_length_params": [0.4, 0.05],
                  "dominance_var": 0.11,
                  "min_dominance": 0.05,
                  "turn_prob": 0.875,
                  "min_turn_prob": 0.5,
                  "mean_silence": 0.15,
                  "mean_silence_var": 0.01,
                  "per_silence_var": 900,
                  "per_silence_min": 0.0,
                  "per_silence_max": -1,
                  "mean_overlap": 0.1,
                  "mean_overlap_var": 0.01,
                  "per_overlap_var": 900,
                  "per_overlap_min": 0.0,
                  "per_overlap_max": -1,
                  "start_window": True,
                  "window_type": "hamming",
                  "window_size": 0.05,
                  "start_buffer": 0.1,
                  "split_buffer": 0.1,
                  "release_buffer": 0.1,
                  "normalize": True,
                  "normalization_type": "equal",
                  "normalization_var": 0.1,
                  "min_volume": 0.75,
                  "max_volume": 1.25,
                  "end_buffer": 0.5,
              },
              "outputs": {
                  "output_dir": "???",
                  "output_filename": "multispeaker_session",
                  "overwrite_output": True,
                  "output_precision": 3,
              },
              "background_noise": {
                  "add_bg": False,
                  "background_manifest": None,
                  "num_noise_files": 10,
                  "snr": 60,
                  "snr_min": None,
              },
              "segment_augmentor": {
                  "add_seg_aug": False,
                  "augmentor": {
                      "gain": {
                          "prob": 0.5,
                          "min_gain_dbfs": -10.0,
                          "max_gain_dbfs": 10.0,
                      },
                  },
              },
              "session_augmentor": {
                  "add_sess_aug": False,
                  "augmentor": {
                      "white_noise": {
                          "prob": 1.0,
                          "min_level": -90,
                          "max_level": -46,
                      },
                  },
              },
              "speaker_enforcement": {
                  "enforce_num_speakers": True,
                  "enforce_time": [0.25, 0.75],
              },
              "segment_manifest": {
                  "window": 0.5,
                  "shift": 0.25,
                  "step_count": 50,
                  "deci": 3,
              },
          }
      }
      return DictConfig(config_dict)
  
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 3 for calling a global function with example usage: get_data_simulation_configs() and returns: DictConfig