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Copy pathoutput for pandas
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output for pandas
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output:
[371, 595, 28, 451, 23, 27, 532, 10, 29, 24, 431, 571, 411, 20, 25, 755, 7311, 871, 898, 21, 991]
[377, 379, 396, 370, 371, 373, 374, 375, 378, 391, 393, 394, 395, 398, 376, 596, 592, 593, 594, 595, 591, 28, 816, 817, 818, 825, 830, 831, 833, 834, 838, 453, 459, 23, 451, 452, 454, 458, 464, 455, 467, 468, 469, 717, 719, 27, 710, 711, 716, 724, 728, 539, 531, 543, 22, 533, 534, 537, 546, 631, 635, 917, 29, 530, 532, 535, 536, 633, 911, 415, 24, 412, 414, 416, 417, 418, 419, 421, 427, 429, 431, 432, 433, 434, 435, 436, 437, 438, 439, 570, 571, 572, 573, 576, 577, 574, 575, 578, 579, 580, 411, 20, 25, 513, 514, 515, 663, 759, 510, 511, 512, 516, 517, 518, 519, 523, 527, 750, 752, 755, 756, 757, 760, 769, 736, 7313, 730, 734, 7311, 319, 311, 871, 872, 874, 877, 879, 312, 313, 316, 335, 873, 898, 8981, 315, 310, 561, 551, 553, 558, 10, 21, 931, 937, 351, 352, 353, 354, 356, 357, 791, 797, 951, 971, 851, 52, 858, 771, 772, 773, 991, 994, 996, 476]
371 377 120
371 379 122.74575
371 396 120
371 370 120
371 371 544.044
371 373 159.27599999999998
371 374 120
371 375 120
371 378 120
371 391 120
371 393 120
371 394 120
371 395 199.458
371 398 120
371 376 120
595 596 128
595 592 341.9425
595 593 128
595 594 128
595 595 166.5075
595 591 186.07175
28 28 2510.35125
28 816 216.598
28 817 130
28 818 130
28 825 130
28 830 130
28 831 130
28 833 132.631
28 834 130
28 838 130
451 453 135
451 459 135
28 23 1354.1085
451 451 271.21500000000003
451 452 135
451 454 273.15
451 458 175.86
451 464 135
451 455 135
451 467 135
451 468 233.25
451 469 135
27 717 185.56375
27 719 138.365
27 27 975.5815000000001
27 710 136
27 711 136
27 716 136
27 724 136
27 728 136
532 539 197.8335
532 531 701.687
532 543 137
10 22 432.96
532 533 277.2975
532 534 167.96
532 537 408.075
532 546 173.13
532 631 401.60749999999996
532 635 137
29 917 137
29 29 621.5004999999999
532 530 161.002
532 532 2063.584
532 535 529.5047500000001
532 536 383.18274999999994
532 633 170.68200000000002
29 911 137
24 415 149.36
24 24 164.24
24 412 143
24 414 143
24 416 143
24 417 143
24 418 143
24 419 143
24 421 143
24 427 143
24 429 143
431 431 168.555
431 432 143
431 433 143
431 434 143
431 435 143
431 436 143
431 437 143
431 438 143
431 439 143
571 570 147.015
571 571 1370.8775
571 572 143
571 573 148.82
571 576 143
571 577 517.675
25 574 499.42749999999995
571 575 622.9905000000001
571 578 143
571 579 324.21950000000004
571 580 143
24 411 173.78
20 20 1255.3125
25 25 1181.2925
571 513 335.495
25 514 179.8375
571 515 171.41
20 663 144
20 759 144
571 510 322.5
571 511 180.9475
571 512 228.325
571 516 172.22
571 517 212.036
571 518 190.949
571 519 256.22024999999996
571 523 143
571 527 143
20 750 144
20 752 208.66625
20 755 2693.1400000000003
755 756 256.7975
20 757 180.84725000000003
755 760 201.8175
20 769 398.023
7311 736 150
7311 7313 150
7311 730 150
7311 734 150
7311 7311 801.8684999999998
10 319 150
10 311 357.525
871 871 1617.8899999999999
871 872 150
871 874 150
871 877 150
871 879 150
10 312 686.0217500000002
10 313 150
10 316 150
10 335 150
871 873 150
898 898 983.6762500000001
898 8981 1525.2502500000003
10 315 150
10 310 182.39600000000002
21 561 151
21 551 230.78500000000003
21 553 151
21 558 151
10 10 3739.2149999999992
571 21 2025.075
29 931 202
29 937 202
371 351 577.5875000000001
371 352 257.568
371 353 204
371 354 590.5360000000001
371 356 204
371 357 204
7311 791 186
7311 797 186
29 951 232
29 971 240
23 851 309.85875
23 52 204
23 858 204
371 771 445.15475
371 772 258
371 773 258
991 991 179.4135
991 994 168
991 996 168
24 476 232