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2026-07-08 00:25:07 +02:00
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commit eb8060fc05
37 changed files with 1649 additions and 66 deletions
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37
reports/WeightFiltration/RESNET34/forget.csv
View File

@@ -490,3 +490,40 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1250,1.0000,0.1250,0.2222,1.0000,0.1250,0.2222
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
490 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
491 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
492 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
493 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
494 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
495 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
496 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
497 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
498 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
499 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
500 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
501 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
502 0.1250 1.0000 0.1250 0.2222 1.0000 0.1250 0.2222
503 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
504 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
505 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
506 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
507 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
508 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
509 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
510 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
511 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
512 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
513 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
514 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
515 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
516 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
517 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
518 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
519 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
520 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
521 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
522 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
523 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
524 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
525 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
526 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
527 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
528 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
529 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

37
reports/WeightFiltration/RESNET34/forget_train.csv
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@@ -490,3 +490,40 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.0125,1.0000,0.0125,0.0247,1.0000,0.0125,0.0247
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0063,1.0000,0.0063,0.0124,1.0000,0.0063,0.0124
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0094,1.0000,0.0094,0.0186,1.0000,0.0094,0.0186
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.1031,1.0000,0.1031,0.1870,1.0000,0.1031,0.1870
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0187,1.0000,0.0187,0.0368,1.0000,0.0187,0.0368
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0031,1.0000,0.0031,0.0062,1.0000,0.0031,0.0062
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
0.0031,1.0000,0.0031,0.0062,1.0000,0.0031,0.0062
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
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0.0000,0.0000,0.0000,0.0000,0.0000,0.0000,0.0000
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
490 0.0125 1.0000 0.0125 0.0247 1.0000 0.0125 0.0247
491 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
492 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
493 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
494 0.0063 1.0000 0.0063 0.0124 1.0000 0.0063 0.0124
495 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
496 0.0094 1.0000 0.0094 0.0186 1.0000 0.0094 0.0186
497 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
498 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
499 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
500 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
501 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
502 0.1031 1.0000 0.1031 0.1870 1.0000 0.1031 0.1870
503 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
504 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
505 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
506 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
507 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
508 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
509 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
510 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
511 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
512 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
513 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
514 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
515 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
516 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
517 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
518 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
519 0.0187 1.0000 0.0187 0.0368 1.0000 0.0187 0.0368
520 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
521 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
522 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
523 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
524 0.0031 1.0000 0.0031 0.0062 1.0000 0.0031 0.0062
525 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
526 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
527 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
528 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
529 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

37
reports/WeightFiltration/RESNET34/retain.csv
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@@ -490,3 +490,40 @@ accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recal
0.9559,0.9572,0.9559,0.9560,0.9572,0.9559,0.9560
0.9546,0.9556,0.9546,0.9547,0.9556,0.9546,0.9547
0.9592,0.9606,0.9592,0.9594,0.9606,0.9592,0.9594
0.9526,0.9540,0.9526,0.9528,0.9540,0.9526,0.9528
0.9572,0.9581,0.9572,0.9573,0.9581,0.9572,0.9573
0.9546,0.9556,0.9546,0.9546,0.9556,0.9546,0.9546
0.9526,0.9537,0.9526,0.9527,0.9537,0.9526,0.9527
0.9539,0.9545,0.9539,0.9540,0.9545,0.9539,0.9540
0.9566,0.9574,0.9566,0.9566,0.9574,0.9566,0.9566
0.9533,0.9542,0.9533,0.9534,0.9542,0.9533,0.9534
0.9539,0.9554,0.9539,0.9541,0.9554,0.9539,0.9541
0.9533,0.9544,0.9533,0.9534,0.9544,0.9533,0.9534
0.9533,0.9541,0.9533,0.9534,0.9541,0.9533,0.9534
0.9520,0.9530,0.9520,0.9521,0.9530,0.9520,0.9521
0.9513,0.9525,0.9513,0.9514,0.9525,0.9513,0.9514
0.9493,0.9509,0.9493,0.9496,0.9509,0.9493,0.9496
0.9487,0.9500,0.9487,0.9487,0.9500,0.9487,0.9487
0.9559,0.9575,0.9559,0.9561,0.9575,0.9559,0.9561
0.9520,0.9531,0.9520,0.9521,0.9531,0.9520,0.9521
0.9526,0.9536,0.9526,0.9527,0.9536,0.9526,0.9527
0.9539,0.9557,0.9539,0.9541,0.9557,0.9539,0.9541
0.9553,0.9559,0.9553,0.9552,0.9559,0.9553,0.9552
0.9520,0.9530,0.9520,0.9520,0.9530,0.9520,0.9520
0.9526,0.9541,0.9526,0.9528,0.9541,0.9526,0.9528
0.9566,0.9575,0.9566,0.9566,0.9575,0.9566,0.9566
0.9526,0.9541,0.9526,0.9528,0.9541,0.9526,0.9528
0.9526,0.9541,0.9526,0.9528,0.9541,0.9526,0.9528
0.9559,0.9569,0.9559,0.9560,0.9569,0.9559,0.9560
0.9546,0.9555,0.9546,0.9546,0.9555,0.9546,0.9546
0.9520,0.9530,0.9520,0.9521,0.9530,0.9520,0.9521
0.9539,0.9545,0.9539,0.9540,0.9545,0.9539,0.9540
0.9566,0.9574,0.9566,0.9566,0.9574,0.9566,0.9566
0.9526,0.9541,0.9526,0.9528,0.9541,0.9526,0.9528
0.9533,0.9542,0.9533,0.9534,0.9542,0.9533,0.9534
0.9533,0.9547,0.9533,0.9535,0.9547,0.9533,0.9535
0.9566,0.9575,0.9566,0.9566,0.9575,0.9566,0.9566
0.9526,0.9540,0.9526,0.9528,0.9540,0.9526,0.9528
0.9546,0.9558,0.9546,0.9547,0.9558,0.9546,0.9547
0.9526,0.9540,0.9526,0.9528,0.9540,0.9526,0.9528
0.9526,0.9540,0.9526,0.9528,0.9540,0.9526,0.9528
1 accuracy macro_precision macro_recall macro_f1 weighted_precision weighted_recall weighted_f1
490 0.9559 0.9572 0.9559 0.9560 0.9572 0.9559 0.9560
491 0.9546 0.9556 0.9546 0.9547 0.9556 0.9546 0.9547
492 0.9592 0.9606 0.9592 0.9594 0.9606 0.9592 0.9594
493 0.9526 0.9540 0.9526 0.9528 0.9540 0.9526 0.9528
494 0.9572 0.9581 0.9572 0.9573 0.9581 0.9572 0.9573
495 0.9546 0.9556 0.9546 0.9546 0.9556 0.9546 0.9546
496 0.9526 0.9537 0.9526 0.9527 0.9537 0.9526 0.9527
497 0.9539 0.9545 0.9539 0.9540 0.9545 0.9539 0.9540
498 0.9566 0.9574 0.9566 0.9566 0.9574 0.9566 0.9566
499 0.9533 0.9542 0.9533 0.9534 0.9542 0.9533 0.9534
500 0.9539 0.9554 0.9539 0.9541 0.9554 0.9539 0.9541
501 0.9533 0.9544 0.9533 0.9534 0.9544 0.9533 0.9534
502 0.9533 0.9541 0.9533 0.9534 0.9541 0.9533 0.9534
503 0.9520 0.9530 0.9520 0.9521 0.9530 0.9520 0.9521
504 0.9513 0.9525 0.9513 0.9514 0.9525 0.9513 0.9514
505 0.9493 0.9509 0.9493 0.9496 0.9509 0.9493 0.9496
506 0.9487 0.9500 0.9487 0.9487 0.9500 0.9487 0.9487
507 0.9559 0.9575 0.9559 0.9561 0.9575 0.9559 0.9561
508 0.9520 0.9531 0.9520 0.9521 0.9531 0.9520 0.9521
509 0.9526 0.9536 0.9526 0.9527 0.9536 0.9526 0.9527
510 0.9539 0.9557 0.9539 0.9541 0.9557 0.9539 0.9541
511 0.9553 0.9559 0.9553 0.9552 0.9559 0.9553 0.9552
512 0.9520 0.9530 0.9520 0.9520 0.9530 0.9520 0.9520
513 0.9526 0.9541 0.9526 0.9528 0.9541 0.9526 0.9528
514 0.9566 0.9575 0.9566 0.9566 0.9575 0.9566 0.9566
515 0.9526 0.9541 0.9526 0.9528 0.9541 0.9526 0.9528
516 0.9526 0.9541 0.9526 0.9528 0.9541 0.9526 0.9528
517 0.9559 0.9569 0.9559 0.9560 0.9569 0.9559 0.9560
518 0.9546 0.9555 0.9546 0.9546 0.9555 0.9546 0.9546
519 0.9520 0.9530 0.9520 0.9521 0.9530 0.9520 0.9521
520 0.9539 0.9545 0.9539 0.9540 0.9545 0.9539 0.9540
521 0.9566 0.9574 0.9566 0.9566 0.9574 0.9566 0.9566
522 0.9526 0.9541 0.9526 0.9528 0.9541 0.9526 0.9528
523 0.9533 0.9542 0.9533 0.9534 0.9542 0.9533 0.9534
524 0.9533 0.9547 0.9533 0.9535 0.9547 0.9533 0.9535
525 0.9566 0.9575 0.9566 0.9566 0.9575 0.9566 0.9566
526 0.9526 0.9540 0.9526 0.9528 0.9540 0.9526 0.9528
527 0.9546 0.9558 0.9546 0.9547 0.9558 0.9546 0.9547
528 0.9526 0.9540 0.9526 0.9528 0.9540 0.9526 0.9528
529 0.9526 0.9540 0.9526 0.9528 0.9540 0.9526 0.9528

164
reports/WeightFiltration/ResNet/time_metrics.txt
View File

@@ -490,3 +490,167 @@ execution_time_sec
0.000396
0.000410
0.000435
87.953725
89.953191
88.555181
87.086629
86.067240
0.001263
0.000383
0.000499
0.000494
0.000391
0.000393
0.000394
87.004814
88.485772
0.000770
0.001780
0.000391
0.000384
0.000495
0.000501
0.000405
0.001766
0.000508
87.975398
0.000514
0.000446
0.001589
0.000390
0.000487
0.000440
0.001184
0.000422
0.000380
0.000461
89.646614
0.000455
0.000399
0.000369
87.205821
0.000449
0.001879
86.592527
0.000481
0.000432
0.000447
0.000428
0.000425
0.000443
0.000428
0.000424
0.000427
0.000426
0.000428
0.000430
0.000431
0.000426
0.000432
0.000424
0.000434
0.000419
0.000424
86.237751
0.000439
0.000432
0.000443
0.000430
0.000439
0.000434
0.000435
0.000428
0.000446
0.000441
0.000439
0.000435
0.000436
0.000433
0.000429
0.000434
0.000426
0.000430
0.000432
86.227529
0.000449
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0.000427
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0.000425
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0.000423
0.000425
0.000437
0.000438
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0.000399
0.000545
0.000430
0.000434
0.000425
0.000429
0.000436
0.000444
86.158356
0.000438
0.000437
0.000426
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0.000438
0.000434
0.000423
0.000469
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0.000433
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0.000437
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0.000433
0.000432
0.000430
0.000424
0.000421
0.000435
0.000428
0.000398
0.000432
0.000427
0.000407
0.000425
0.000433
0.000430
0.000422
0.000418
89.527112
87.450551
0.002478
0.000423
0.000417
0.000433
0.000426
0.000440
0.000826
0.000426
0.000440
0.000437
0.000425
0.000425
0.000422
0.000450
0.000423
0.000422
0.000422
0.000426
0.000428
86.247649
0.000436

5
reports/WeightFiltration/attack_values.csv Normal file
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target_class,parameter_mia_accuracy,latent_distance_tell,lookalike_accuracy
0,0.500000,1.180800,0.958333
1,0.500000,1.279257,0.968750
2,0.500000,1.717911,0.937500
3,0.500000,1.354225,0.989583
1 target_class parameter_mia_accuracy latent_distance_tell lookalike_accuracy
2 0 0.500000 1.180800 0.958333
3 1 0.500000 1.279257 0.968750
4 2 0.500000 1.717911 0.937500
5 3 0.500000 1.354225 0.989583

101
reports/WeightFiltration/attack_values_old.csv Normal file
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target_class,attack_mia_accuracy,latent_distance_tell
0,0.500000,1.107324
1,0.500000,1.182681
2,0.500000,1.628934
3,0.500000,1.260251
4,0.500000,1.399319
5,0.500000,2.046023
6,0.500000,1.750646
7,0.500000,1.243093
8,0.500000,1.809917
9,0.500000,1.702536
10,0.500000,1.291788
11,0.500000,1.434109
12,0.500000,1.448272
13,0.500000,1.694034
14,0.500000,1.717611
15,0.500000,1.758781
16,0.500000,1.188805
17,0.500000,1.591978
18,0.500000,1.445776
19,0.500000,1.626087
0,0.500000,1.158666
1,0.500000,1.245154
2,0.500000,1.558492
3,0.500000,1.358110
4,0.500000,1.339859
5,0.500000,2.025961
6,0.500000,1.828531
7,0.500000,1.186695
8,0.500000,1.920701
9,0.500000,1.718948
10,0.500000,1.374345
11,0.500000,1.495150
12,0.500000,1.368306
13,0.500000,1.710072
14,0.500000,1.700057
15,0.500000,1.766020
16,0.500000,1.160263
17,0.500000,1.634570
18,0.500000,1.461136
19,0.500000,1.697268
0,0.500000,1.092890
1,0.500000,1.238615
2,0.500000,1.704648
3,0.500000,1.394107
4,0.500000,1.365094
5,0.500000,2.032884
6,0.500000,1.833764
7,0.500000,1.225851
8,0.500000,1.807006
9,0.500000,1.704291
10,0.500000,1.358446
11,0.500000,1.555449
12,0.500000,1.387334
13,0.500000,1.693131
14,0.500000,1.736060
15,0.500000,1.768330
16,0.500000,1.190044
17,0.500000,1.585899
18,0.500000,1.482916
19,0.500000,1.691146
0,0.500000,1.141869
1,0.500000,1.352442
2,0.500000,1.695588
3,0.500000,1.432673
4,0.500000,1.314509
5,0.500000,2.010463
6,0.500000,1.817650
7,0.500000,1.291032
8,0.500000,1.703021
9,0.500000,1.802832
10,0.500000,1.355631
11,0.500000,1.485411
12,0.500000,1.441830
13,0.500000,1.728542
14,0.500000,1.740982
15,0.500000,1.764840
16,0.500000,1.210430
17,0.500000,1.645152
18,0.500000,1.471922
19,0.500000,1.709163
0,0.500000,1.122816
1,0.500000,1.332376
2,0.500000,1.646908
3,0.500000,1.429030
4,0.500000,1.321270
5,0.500000,2.033827
6,0.500000,1.863828
7,0.500000,1.242626
8,0.500000,1.924087
9,0.500000,1.760985
10,0.500000,1.423025
11,0.500000,1.428449
12,0.500000,1.390632
13,0.500000,1.619642
14,0.500000,1.745749
15,0.500000,1.734899
16,0.500000,1.144821
17,0.500000,1.548540
18,0.500000,1.452088
19,0.500000,1.721123
1 target_class attack_mia_accuracy latent_distance_tell
2 0 0.500000 1.107324
3 1 0.500000 1.182681
4 2 0.500000 1.628934
5 3 0.500000 1.260251
6 4 0.500000 1.399319
7 5 0.500000 2.046023
8 6 0.500000 1.750646
9 7 0.500000 1.243093
10 8 0.500000 1.809917
11 9 0.500000 1.702536
12 10 0.500000 1.291788
13 11 0.500000 1.434109
14 12 0.500000 1.448272
15 13 0.500000 1.694034
16 14 0.500000 1.717611
17 15 0.500000 1.758781
18 16 0.500000 1.188805
19 17 0.500000 1.591978
20 18 0.500000 1.445776
21 19 0.500000 1.626087
22 0 0.500000 1.158666
23 1 0.500000 1.245154
24 2 0.500000 1.558492
25 3 0.500000 1.358110
26 4 0.500000 1.339859
27 5 0.500000 2.025961
28 6 0.500000 1.828531
29 7 0.500000 1.186695
30 8 0.500000 1.920701
31 9 0.500000 1.718948
32 10 0.500000 1.374345
33 11 0.500000 1.495150
34 12 0.500000 1.368306
35 13 0.500000 1.710072
36 14 0.500000 1.700057
37 15 0.500000 1.766020
38 16 0.500000 1.160263
39 17 0.500000 1.634570
40 18 0.500000 1.461136
41 19 0.500000 1.697268
42 0 0.500000 1.092890
43 1 0.500000 1.238615
44 2 0.500000 1.704648
45 3 0.500000 1.394107
46 4 0.500000 1.365094
47 5 0.500000 2.032884
48 6 0.500000 1.833764
49 7 0.500000 1.225851
50 8 0.500000 1.807006
51 9 0.500000 1.704291
52 10 0.500000 1.358446
53 11 0.500000 1.555449
54 12 0.500000 1.387334
55 13 0.500000 1.693131
56 14 0.500000 1.736060
57 15 0.500000 1.768330
58 16 0.500000 1.190044
59 17 0.500000 1.585899
60 18 0.500000 1.482916
61 19 0.500000 1.691146
62 0 0.500000 1.141869
63 1 0.500000 1.352442
64 2 0.500000 1.695588
65 3 0.500000 1.432673
66 4 0.500000 1.314509
67 5 0.500000 2.010463
68 6 0.500000 1.817650
69 7 0.500000 1.291032
70 8 0.500000 1.703021
71 9 0.500000 1.802832
72 10 0.500000 1.355631
73 11 0.500000 1.485411
74 12 0.500000 1.441830
75 13 0.500000 1.728542
76 14 0.500000 1.740982
77 15 0.500000 1.764840
78 16 0.500000 1.210430
79 17 0.500000 1.645152
80 18 0.500000 1.471922
81 19 0.500000 1.709163
82 0 0.500000 1.122816
83 1 0.500000 1.332376
84 2 0.500000 1.646908
85 3 0.500000 1.429030
86 4 0.500000 1.321270
87 5 0.500000 2.033827
88 6 0.500000 1.863828
89 7 0.500000 1.242626
90 8 0.500000 1.924087
91 9 0.500000 1.760985
92 10 0.500000 1.423025
93 11 0.500000 1.428449
94 12 0.500000 1.390632
95 13 0.500000 1.619642
96 14 0.500000 1.745749
97 15 0.500000 1.734899
98 16 0.500000 1.144821
99 17 0.500000 1.548540
100 18 0.500000 1.452088
101 19 0.500000 1.721123