text: import numpy as np
  
  from manm_cs.prob_distributions.continuous import ContinuousDistribution
  
  
  class GaussianDistribution(ContinuousDistribution):
      mu: float
      sigma: float
  
      def __init__(self, mu: float, sigma: float):
          super(GaussianDistribution, self).__init__()
          self.mu = mu
          self.sigma = sigma
  
      def sample(self, num_observations: int) -> np.array:
          return np.random.normal(loc=self.mu, scale=self.sigma, size=num_observations)
  