code: def quniform(low, high, q, random_state):
      '''
      low: an float that represent an lower bound
      high: an float that represent an upper bound
      q: sample step
      random_state: an object of numpy.random.RandomState
      '''
      return np.round(uniform(low, high, random_state) / q) * f quniform(low, high, q, random_state):
      '''
      low: an float that represent an lower bound
      high: an float that represent an upper bound
      q: sample step
      random_state: an object of numpy.random.RandomState
      '''
      return np.round(uniform(low, high, random_state) / q) * q
docs: low: an float that represent an lower bound
      high: an float that represent an upper bound
      q: sample step
      random_state: an object of numpy.random.RandomState