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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _get_linear_lookup_table_and_weight(nbits, wp):
 """ 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) """

    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