code: def loguniform(low, high, random_state):
      '''
      low: an float that represent an lower bound
      high: an float that represent an upper bound
      random_state: an object of numpy.random.RandomState
      '''
      assert low > 0, 'Lower bound must be positive'
      return np.exp(uniform(np.log(low), np.log(high), random_state)f loguniform(low, high, random_state):
      '''
      low: an float that represent an lower bound
      high: an float that represent an upper bound
      random_state: an object of numpy.random.RandomState
      '''
      assert low > 0, 'Lower bound must be positive'
      return np.exp(uniform(np.log(low), np.log(high), random_state))
docs: low: an float that represent an lower bound
      high: an float that represent an upper bound
      random_state: an object of numpy.random.RandomState