code: def lognormal(mu, sigma, random_state):
      '''
      mu: float or array_like of floats
      sigma: float or array_like of floats
      random_state: an object of numpy.random.RandomState
      '''
      return np.exp(normal(mu, sigma, random_state)f lognormal(mu, sigma, random_state):
      '''
      mu: float or array_like of floats
      sigma: float or array_like of floats
      random_state: an object of numpy.random.RandomState
      '''
      return np.exp(normal(mu, sigma, random_state))
docs: mu: float or array_like of floats
      sigma: float or array_like of floats
      random_state: an object of numpy.random.RandomState