code: def seed_hash(*args):
      """
      Derive an integer hash from all args, for use as a random seed.
      """
      args_str = str(args)
      return int(
          hashlib.md5(args_str.encode("utf-8")).hexdigest(), 16
      ) % (2**31)
  
file_path: dowhy/dowhy/causal_prediction/dataloaders/misc.py
imports: import hashlib
  from collections import Counter
  import numpy
  import torch
label_desc: Use image node_id 3 for calling a global function with example usage: seed_hash() and returns: unknown