code: def block(seed):
      
      num = SAMPLE_RATE * BLOCK_SIZE
      rng = RandomState(seed % 2**32)
      variance = SAMPLE_RATE / 2
      return rng.normal(size=num, scale=variance**0.5)
docs: Return block of normal random numbers
  
      Parameters
      ----------
      seed : {None, int}
          The seed to generate the noise.sd
  
      Returns
      --------
      noise : numpy.ndarray
          Array of random numbers