code: def _np_dtype(bit_res, discrete):
      
      bit_res = min(bit_res, 64)
  
      for np_res in [8, 16, 32, 64]:
          if bit_res <= np_res:
              break
  
      if discrete is True:
          return 'int' + str(np_res)
      else:
          # No float8 dtype
          return 'float' + str(max(np_res, 16))
docs: Given the bit resolution of a signal, return the minimum numpy dtype
      used to store it.
  
      Parameters
      ----------
      bit_res : int
          The bit resolution.
      discrete : bool
          Whether the dtype is to be int or float.
  
      Returns
      -------
      dtype : str
          String numpy dtype used to store the signal of the given
          resolution