code: def zero_pad(data, count, right=True):
      
      if len(data) == 0:
          return np.zeros(count)
      elif len(data) < count:
          padded = np.zeros(count)
          if right:
              padded[-len(data):] = data
          else:
              padded[:len(data)] = data
          return padded
      else:
          return np.asanyarray(data)
docs: Parameters
      --------
      data : (n,)
        1D array
      count : int
        Minimum length of result array
  
      Returns
      --------
      padded : (m,)
        1D array where m >= count