code: def expand_segment(
      num_frames, num_target_frames, start_frame, stop_frame
  ):
      """expand the segment"""
      num_frames_seg = stop_frame - start_frame + 1
      changes = False
      num_target_frames = min(num_target_frames, num_frames)
      if num_frames_seg < num_target_frames:
          while True:
              if start_frame > 0:
                  start_frame -= 1
                  num_frames_seg += 1
                  changes = True
              if num_frames_seg == num_target_frames:
                  break
              if stop_frame < num_frames - 1:
                  stop_frame += 1
                  num_frames_seg += 1
                  changes = True
              if num_frames_seg == num_target_frames:
                  break
      return start_frame, stop_frame, changes
  
imports: import ctypes
  import datetime
  import logging
  import multiprocessing
  import os
  from pathlib import Path
  import random
  import sys
  from typing import Tuple, Dict
  import numpy
  import torch
  import torch.backends.cudnn
  from torch import cuda
  import torch.nn.functional
label_desc: Use image node_id 3 for calling a global function with example usage: expand_segment(num_frames, num_target_frames, start_frame, stop_frame) and returns: start_frame,  stop_frame,  changes