SOTA2005.py

import math

import numpy as np


def get_results():

    dist_r1 = np.array([
        617.1,
        1044,
        1637.7,
        547.1,
        909,
        1466.6,
        454.6,
        772.9,
        1208.7,
        416.9,
        625.4,
        971.5,
        530.5,
        899.3,
        1355.3,
        465.4,
        793,
        1234.6,
        424.3,
        711.1,
        1064.6,
        397.3,
        617.7,
        math.nan,
        441.3,
        786.8,
        1146.9,
        444.1,
        697,
        1068,
        428.8,
        707.2,
        1048.7,
        393,
        630.2,
        math.nan
    ])

    v_num_r1 = np.array([
        8,
        12,
        20,
        7,
        11,
        18,
        5,
        9,
        14,
        4,
        6,
        11,
        6,
        9,
        15,
        5,
        8,
        13,
        4,
        7,
        11,
        4,
        6,
        math.nan,
        5,
        8,
        13,
        5,
        7,
        12,
        4,
        7,
        12,
        4,
        6,
        math.nan
    ])

    dist_c1 = np.array([
        191.3,
        362.4,
        827.3,
        190.3,
        361.4,
        827.3,
        190.3,
        361.4,
        826.3,
        186.9,
        358,
        822.9,
        191.3,
        362.4,
        827.3,
        191.3,
        362.4,
        827.3,
        191.3,
        362.4,
        827.3,
        191.3,
        362.4,
        827.3,
        191.3,
        362.4,
        827.3
    ])

    v_num_c1 = np.array([
        3,
        5,
        10,
        3,
        5,
        10,
        3,
        5,
        10,
        3,
        5,
        10,
        3,
        5,
        10,
        3,
        5,
        10,
        3,
        5,
        10,
        3,
        5,
        10,
        3,
        5,
        10
    ])

    dist_rc1 = np.array([
        461.1,
        944,
        1619.8,
        351.8,
        822.5,
        1457.4,
        332.8,
        710.9,
        1258,
        306.6,
        545.8,
        math.nan,
        411.3,
        855.3,
        1513.7,
        345.5,
        723.2,
        math.nan,
        298.3,
        642.7,
        1207.8,
        294.5,
        598.1,
        1114.2 
    ])

    v_num_rc1 = np.array([     
        4,
        8,
        15,
        3,
        7,
        14,
        3,
        6,
        11,
        3,
        5,
        math.nan,
        4,
        8,
        15,
        3,
        6,
        math.nan,
        3,
        6,
        12,
        3,
        6,
        11
    ])

    dist_r2 = np.array([
        463.3,
        791.9,
        1143.2,
        410.5,
        698.5,
        math.nan,
        391.4,
        605.3,
        math.nan,
        355,
        506.4,
        math.nan,
        393,
        690.1,
        math.nan,
        374.4,
        632.4,
        math.nan,
        361.6,
        math.nan,
        math.nan,
        328.2,
        math.nan,
        math.nan,
        370.7,
        600.6,
        math.nan,
        404.6,
        645.6,
        math.nan,
        350.9,
        535.5,
        math.nan
    ])

    v_num_r2 = np.array([
        4,
        6,
        8,
        4,
        5,
        math.nan,
        3,
        5,
        math.nan,
        2,
        2,
        math.nan,
        3,
        4,
        math.nan,
        3,
        4,
        math.nan,
        3,
        math.nan,
        math.nan,
        1,
        math.nan,
        math.nan,
        2,
        4,
        math.nan,
        3,
        4,
        math.nan,
        2,
        3,
        math.nan
    ])

    dist_c2 = np.array([
        214.7,
        360.2,
        589.1,
        214.7,
        360.2,
        589.1,
        214.7,
        359.8,
        588.7,
        213.1,
        350.1,
        588.1,
        214.7,
        359.8,
        586.4,
        214.7,
        359.8,
        586,
        214.5,
        359.6,
        585.8,
        214.5,
        350.5,
        585.8,
    ])

    v_num_c2 = np.array([
        2,
        3,
        3,
        2,
        3,
        3,
        2,
        3,
        3,
        1,
        2,
        3,
        2,
        3,
        3,
        2,
        3,
        3,
        2,
        3,
        3,
        2,
        2,
        3
    ])

    dist_rc2 = np.array([
        360.2,
        684.8,
        1261.8,
        338,
        613.6,
        1092.3,
        326.9,
        490.122,
        math.nan,
        299.7,
        444.2,
        math.nan,
        338,
        630.2,
        1154,
        324,
        610,
        math.nan,
        298.3,
        558.6,
        math.nan,
        269.1,
        math.nan,
        math.nan
    ])

    v_num_rc2 = np.array([
        3,
        5,
        9,
        3,
        5,
        8,
        2,
        4,
        math.nan,
        3,
        3,
        math.nan,
        3,
        5,
        7,
        3,
        5,
        math.nan,
        3,
        4,
        math.nan,
        2,
        math.nan,
        math.nan
    ])

    dist_c1 = dist_c1.reshape([dist_c1.shape[0], 1])
    v_num_c1 = v_num_c1.reshape([v_num_c1.shape[0], 1])

    dist_c2 = dist_c2.reshape([dist_c2.shape[0], 1])
    v_num_c2 = v_num_c2.reshape([v_num_c2.shape[0], 1])

    dist_r1 = dist_r1.reshape([dist_r1.shape[0], 1])
    v_num_r1 = v_num_r1.reshape([v_num_r1.shape[0], 1])

    dist_r2 = dist_r2.reshape([dist_r2.shape[0], 1])
    v_num_r2 = v_num_r2.reshape([v_num_r2.shape[0], 1])

    dist_rc1 = dist_rc1.reshape([dist_rc1.shape[0], 1])
    v_num_rc1 = v_num_rc1.reshape([v_num_rc1.shape[0], 1])

    dist_rc2 = dist_rc2.reshape([dist_rc2.shape[0], 1])
    v_num_rc2 = v_num_rc2.reshape([v_num_rc2.shape[0], 1])

    return dist_c1, v_num_c1, dist_c2, v_num_c2, dist_r1, v_num_r1, dist_r2, v_num_r2, dist_rc1, v_num_rc1, dist_rc2, v_num_rc2