code: def set_seed(seed):
      """Set the process-wide random seed.
  
      Args:
          seed (int): A positive integer
  
      """
      seed %= 4294967294
      # pylint: disable=global-statement
      global seed_
      global seed_stream_
      seed_ = seed
      random.seed(seed)
      np.random.seed(seed)
      if "tensorflow" in sys.modules:
          import tensorflow as tf  # pylint: disable=import-outside-toplevel
  
          tf.compat.v1.set_random_seed(seed)
          try:
              # pylint: disable=import-outside-toplevel
              import tensorflow_probability as tfp
  
              seed_stream_ = tfp.util.SeedStream(seed_, salt="garage")
          except ImportError:
              pass
      if "torch" in sys.modules:
          warnings.warn(
              "Enabeling deterministic mode in PyTorch can have a performance "
              "impact when using GPU."
          )
          import torch  # pylint: disable=import-outside-toplevel
  
          torch.manual_seed(seed)
          torch.backends.cudnn.deterministic = True
          torch.backends.cudnn.benchmark = False
  
imports: import random
  import sys
  import warnings
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: set_seed(seed) without return types