code: def set_random_seed(seed: Optional[int]):
      """Sets random seed for evaluation of models"""
      if seed is not None:
          np.random.seed(seed)
          random.seed(seed)
          RandomStateHandler.MODEL_FITTING_SEED = seed
  
imports: import math
  import os
  import platform
  import random
  import tempfile
  from pathlib import Path
  from typing import Optional, Union
  import numpy
  import pandas
  from golem.utilities.random import RandomStateHandler
  from sklearn.model_selection import train_test_split
label_desc: Use image node_id 9 for calling a global function with example usage: set_random_seed(seed) without return types