code: def noisy(x, mu=0, sigma=1, seed="!"):
      """make x noisy, by adding noise from a normal distribution
  
      x: parameters (list or array)
      mu: distribution mean value
      sigma: distribution standard deviation
      seed: random seed [default: '!', do not reseed the RNG]
      """  # new: if True, generate a new RNG object [default: use the global RNG]
      from numpy.random import normal
      import mystic
  
      rng = mystic.random_state("numpy.random", new=True, seed=seed)
      dist = mystic.math.Distribution(normal, mu, sigma, rng=rng)
      return _noisy(x, dist=dist)
  
label_desc: Use image node_id 2 for calling a global function with example usage: noisy(x, mu, sigma, seed) and returns: _noisy