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import numpy as np | |
from scipy.optimize import linear_sum_assignment | |
M = [[ 7, 53, 183, 439, 863, 497, 383, 563, 79, 973, 287, 63, 343, 169, 583], | |
[627, 343, 773, 959, 943, 767, 473, 103, 699, 303, 957, 703, 583, 639, 913], | |
[447, 283, 463, 29, 23, 487, 463, 993, 119, 883, 327, 493, 423, 159, 743], | |
[217, 623, 3, 399, 853, 407, 103, 983, 89, 463, 290, 516, 212, 462, 350], | |
[960, 376, 682, 962, 300, 780, 486, 502, 912, 800, 250, 346, 172, 812, 350], | |
[870, 456, 192, 162, 593, 473, 915, 45, 989, 873, 823, 965, 425, 329, 803], | |
[973, 965, 905, 919, 133, 673, 665, 235, 509, 613, 673, 815, 165, 992, 326], | |
[322, 148, 972, 962, 286, 255, 941, 541, 265, 323, 925, 281, 601, 95, 973], | |
[445, 721, 11, 525, 473, 65, 511, 164, 138, 672, 18, 428, 154, 448, 848], | |
[414, 456, 310, 312, 798, 104, 566, 520, 302, 248, 694, 976, 430, 392, 198], | |
[184, 829, 373, 181, 631, 101, 969, 613, 840, 740, 778, 458, 284, 760, 390], | |
[821, 461, 843, 513, 17, 901, 711, 993, 293, 157, 274, 94, 192, 156, 574], | |
[ 34, 124, 4, 878, 450, 476, 712, 914, 838, 669, 875, 299, 823, 329, 699], | |
[815, 559, 813, 459, 522, 788, 168, 586, 966, 232, 308, 833, 251, 631, 107], | |
[813, 883, 451, 509, 615, 77, 281, 613, 459, 205, 380, 274, 302, 35, 805]] | |
def compute(M): | |
# Follow method given here: https://docs.scipy.org/doc/scipy-0.18.1/reference/generated/scipy.optimize.linear_sum_assignment.html | |
M = np.array(M) | |
row_ind, col_ind = linear_sum_assignment(-M) | |
return M[row_ind, col_ind].sum() |
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