code: def update(individual, mu, sigma):
      """Update the current *individual* with values from a gaussian centered on
      *mu* and standard deviation *sigma*.
      """
      for i, mu_i in enumerate(mu):
          individual[i] = random.gauss(mu_i, sigma)
  
file_path: deap/examples/bbob.py
imports: import array
  import math
  import random
  import time
  from itertools import chain
  from deap import base
  from deap import creator
  import fgeneric
  import bbobbenchmarks
label_desc: Use image node_id 1 for calling a global function with example usage: update(individual, mu, sigma) without return types