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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 normalise_rows(matrix):
 """ Scales all rows to length 1. Fails when row is 0-length, so it leaves these unchanged """


    lengths = np.apply_along_axis(np.linalg.norm, 1, matrix)
    if not (lengths > 0).all():
        # raise ValueError('Cannot normalise 0 length vector to length 1')
        # print(matrix)
        lengths[lengths == 0] = 1
    return matrix / lengths[:, np.newaxis]