code: def _get_linear_lookup_table_and_weight(nbits, wp):
      
      w = wp.reshape(1, -1)
      qw, scales, biases = _quantize_channelwise_linear(w, nbits, axis=0)
      indices = _np.array(range(0, 2**nbits))
      lookup_table = indices * scales[0] + biases[0]
      return lookup_table, qw
docs: Generate a linear lookup table.
  
      :param nbits: int
          Number of bits to represent a quantized weight value
  
      :param wp: numpy.array
          Weight blob to be quantized
  
      Returns
      -------
      lookup_table: numpy.array
          Lookup table of shape (2^nbits, )
      qw: numpy.array
          Decomposed bit stream as a list of 0/1s of length (len(arr) * 8)