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refactor: 清理测试文件和2019相关代码

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- 删除测试脚本: test_2026_classification.py, test_lagllama.py, test_timesfm.py, test_ttm.py
- 删除2019相关文件: analyze_2019_*, apply_2019_*, dlinear_2019_*, three_models_2019_*
- 添加集成模型相关代码和分析脚本
- 添加N-BEATS模型和CatBoost分类模型
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crypto_predictor committed 2026-02-03 20:40:32 +08:00
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catboost_info/catboost_training.json
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iter Accuracy Logloss
0 0.5470774019 0.6925856518
1 0.5485192475 0.6920296194
2 0.5508078912 0.6915437145
3 0.5511969607 0.6911042525
4 0.5528218977 0.6906429178
5 0.553096535 0.6902328044
6 0.5537144688 0.6899070645
7 0.552730352 0.6895966245
8 0.5539204467 0.6892625204
9 0.554561267 0.6889386437
10 0.554561267 0.6886345552
11 0.5548587907 0.6883728473
12 0.5552020872 0.6881185803
13 0.5564150684 0.6879043975
14 0.5559802261 0.6877314929
15 0.5564150684 0.6875118582
16 0.5569414565 0.6872755986
17 0.5561862041 0.6870435386
18 0.5561633176 0.6868442431
19 0.5575593903 0.6866694237
20 0.5575593903 0.686503203
21 0.557124548 0.6863452751
22 0.5569185701 0.6862172686
23 0.5573762988 0.6860730724
24 0.5571703209 0.6859302623
25 0.5570101158 0.6858087212
26 0.5571474344 0.6857036471
27 0.5571932073 0.6855803136
28 0.5572160937 0.6854590307
29 0.5568041379 0.6853245403
30 0.5570558887 0.6852010211
31 0.5570330022 0.6850648161
32 0.5578340276 0.6849486439
33 0.5576738225 0.6848167763
34 0.5577424818 0.6847064338
35 0.5582917563 0.6846073419
36 0.5587037122 0.6845016816
37 0.5587494851 0.6844106082
38 0.5591156681 0.6843432648
39 0.5589325766 0.6842678359
40 0.5590012359 0.6841515192
41 0.5590698952 0.6840610381
42 0.5593445324 0.6839565281
43 0.5592529867 0.6838539206
44 0.559321646 0.6837417759
45 0.559687829 0.6836669298
46 0.5603744221 0.6835634424
47 0.5599853527 0.6834698484
48 0.5601913306 0.6833860083
49 0.5602599899 0.6833086288
50 0.5606490594 0.683239475
51 0.5609694695 0.6831625258
52 0.5611983339 0.683056699
53 0.5617018355 0.6829611591
54 0.5619993592 0.6828690012
55 0.5620451321 0.6827776665
56 0.5624342015 0.6826927644
57 0.5626401794 0.6825957686
58 0.5626630659 0.6825449467
59 0.5627088387 0.6824559998
60 0.562983476 0.6823684725
61 0.5632352268 0.6822923813
62 0.5630521353 0.6822333406
63 0.5634412047 0.6821367311
64 0.5636242962 0.6820867227
65 0.563715842 0.6820256999
66 0.5638531606 0.6819329129
67 0.5638989335 0.6818706983
68 0.5639447064 0.6818045601
69 0.564082025 0.68171304
70 0.5640362521 0.6816251881
71 0.5645168673 0.6815203712
72 0.564448208 0.6814559429
73 0.5646541859 0.6813334168
74 0.5649059367 0.6812138418
75 0.5649059367 0.6811428702
76 0.565180574 0.6810679335
77 0.5653407791 0.6810189357
78 0.5655696434 0.6809239905
79 0.5651119147 0.6808452293
80 0.5653407791 0.6807843648
81 0.565180574 0.6807084812
82 0.5654780977 0.6806237044
83 0.5656840756 0.680541791
84 0.5653636655 0.6804402561
85 0.565546757 0.6803841011
86 0.5657298485 0.6803302076
87 0.5663248959 0.6802294187
88 0.5660273722 0.6801427052
89 0.5664393281 0.680092343
90 0.5666224196 0.6800188515
91 0.567377672 0.6799633931
92 0.5676523092 0.6799142593
93 0.5677667414 0.6798218244
94 0.5679727194 0.6797624264
95 0.5682702431 0.6796825487
96 0.5683160159 0.6796119175
97 0.5681786973 0.6795251979
98 0.5684533346 0.6794647206
99 0.5690026091 0.6793963783
100 0.5689797226 0.6793126045
101 0.569208587 0.6792105367
102 0.5693687921 0.6791494493
103 0.5695518836 0.6790732211
104 0.5698265208 0.6789905315
105 0.5698951801 0.67895488
106 0.5700324987 0.6788948137
107 0.5704902275 0.6788457101
108 0.5704902275 0.6787737664
109 0.5708106376 0.6786897689
110 0.5709021834 0.6786357569
111 0.5711768206 0.6785404316
112 0.5714972307 0.6784635222
113 0.5716345494 0.6783830081
114 0.5716803222 0.6783261377
115 0.5717947544 0.6782551829
116 0.5717260951 0.6782039946
117 0.5719549595 0.6781381441
118 0.5720007324 0.6780959678
119 0.5721609374 0.6780580972
120 0.5722982561 0.6779909469
121 0.5722753696 0.6779155506
122 0.5726186662 0.67787157
123 0.5729161899 0.6778021605
124 0.5732594864 0.6777441308
125 0.5737172152 0.6776640278
126 0.5741062846 0.6775768826
127 0.5738545338 0.6775322572
128 0.5738545338 0.6774381457
129 0.5739460796 0.6773933791
130 0.5738545338 0.6773073305
131 0.5746555591 0.6772430348
132 0.5745640134 0.6771630132
133 0.5747242184 0.6770868641
134 0.5749988557 0.6770144627
135 0.5747699913 0.6769488704
136 0.5751590607 0.6768712881
137 0.5755939031 0.6767999464
138 0.5755710166 0.6767315844
139 0.5758914267 0.6766580612
1 iter Accuracy Logloss
2 0 0.5470774019 0.6925856518
3 1 0.5485192475 0.6920296194
4 2 0.5508078912 0.6915437145
5 3 0.5511969607 0.6911042525
6 4 0.5528218977 0.6906429178
7 5 0.553096535 0.6902328044
8 6 0.5537144688 0.6899070645
9 7 0.552730352 0.6895966245
10 8 0.5539204467 0.6892625204
11 9 0.554561267 0.6889386437
12 10 0.554561267 0.6886345552
13 11 0.5548587907 0.6883728473
14 12 0.5552020872 0.6881185803
15 13 0.5564150684 0.6879043975
16 14 0.5559802261 0.6877314929
17 15 0.5564150684 0.6875118582
18 16 0.5569414565 0.6872755986
19 17 0.5561862041 0.6870435386
20 18 0.5561633176 0.6868442431
21 19 0.5575593903 0.6866694237
22 20 0.5575593903 0.686503203
23 21 0.557124548 0.6863452751
24 22 0.5569185701 0.6862172686
25 23 0.5573762988 0.6860730724
26 24 0.5571703209 0.6859302623
27 25 0.5570101158 0.6858087212
28 26 0.5571474344 0.6857036471
29 27 0.5571932073 0.6855803136
30 28 0.5572160937 0.6854590307
31 29 0.5568041379 0.6853245403
32 30 0.5570558887 0.6852010211
33 31 0.5570330022 0.6850648161
34 32 0.5578340276 0.6849486439
35 33 0.5576738225 0.6848167763
36 34 0.5577424818 0.6847064338
37 35 0.5582917563 0.6846073419
38 36 0.5587037122 0.6845016816
39 37 0.5587494851 0.6844106082
40 38 0.5591156681 0.6843432648
41 39 0.5589325766 0.6842678359
42 40 0.5590012359 0.6841515192
43 41 0.5590698952 0.6840610381
44 42 0.5593445324 0.6839565281
45 43 0.5592529867 0.6838539206
46 44 0.559321646 0.6837417759
47 45 0.559687829 0.6836669298
48 46 0.5603744221 0.6835634424
49 47 0.5599853527 0.6834698484
50 48 0.5601913306 0.6833860083
51 49 0.5602599899 0.6833086288
52 50 0.5606490594 0.683239475
53 51 0.5609694695 0.6831625258
54 52 0.5611983339 0.683056699
55 53 0.5617018355 0.6829611591
56 54 0.5619993592 0.6828690012
57 55 0.5620451321 0.6827776665
58 56 0.5624342015 0.6826927644
59 57 0.5626401794 0.6825957686
60 58 0.5626630659 0.6825449467
61 59 0.5627088387 0.6824559998
62 60 0.562983476 0.6823684725
63 61 0.5632352268 0.6822923813
64 62 0.5630521353 0.6822333406
65 63 0.5634412047 0.6821367311
66 64 0.5636242962 0.6820867227
67 65 0.563715842 0.6820256999
68 66 0.5638531606 0.6819329129
69 67 0.5638989335 0.6818706983
70 68 0.5639447064 0.6818045601
71 69 0.564082025 0.68171304
72 70 0.5640362521 0.6816251881
73 71 0.5645168673 0.6815203712
74 72 0.564448208 0.6814559429
75 73 0.5646541859 0.6813334168
76 74 0.5649059367 0.6812138418
77 75 0.5649059367 0.6811428702
78 76 0.565180574 0.6810679335
79 77 0.5653407791 0.6810189357
80 78 0.5655696434 0.6809239905
81 79 0.5651119147 0.6808452293
82 80 0.5653407791 0.6807843648
83 81 0.565180574 0.6807084812
84 82 0.5654780977 0.6806237044
85 83 0.5656840756 0.680541791
86 84 0.5653636655 0.6804402561
87 85 0.565546757 0.6803841011
88 86 0.5657298485 0.6803302076
89 87 0.5663248959 0.6802294187
90 88 0.5660273722 0.6801427052
91 89 0.5664393281 0.680092343
92 90 0.5666224196 0.6800188515
93 91 0.567377672 0.6799633931
94 92 0.5676523092 0.6799142593
95 93 0.5677667414 0.6798218244
96 94 0.5679727194 0.6797624264
97 95 0.5682702431 0.6796825487
98 96 0.5683160159 0.6796119175
99 97 0.5681786973 0.6795251979
100 98 0.5684533346 0.6794647206
101 99 0.5690026091 0.6793963783
102 100 0.5689797226 0.6793126045
103 101 0.569208587 0.6792105367
104 102 0.5693687921 0.6791494493
105 103 0.5695518836 0.6790732211
106 104 0.5698265208 0.6789905315
107 105 0.5698951801 0.67895488
108 106 0.5700324987 0.6788948137
109 107 0.5704902275 0.6788457101
110 108 0.5704902275 0.6787737664
111 109 0.5708106376 0.6786897689
112 110 0.5709021834 0.6786357569
113 111 0.5711768206 0.6785404316
114 112 0.5714972307 0.6784635222
115 113 0.5716345494 0.6783830081
116 114 0.5716803222 0.6783261377
117 115 0.5717947544 0.6782551829
118 116 0.5717260951 0.6782039946
119 117 0.5719549595 0.6781381441
120 118 0.5720007324 0.6780959678
121 119 0.5721609374 0.6780580972
122 120 0.5722982561 0.6779909469
123 121 0.5722753696 0.6779155506
124 122 0.5726186662 0.67787157
125 123 0.5729161899 0.6778021605
126 124 0.5732594864 0.6777441308
127 125 0.5737172152 0.6776640278
128 126 0.5741062846 0.6775768826
129 127 0.5738545338 0.6775322572
130 128 0.5738545338 0.6774381457
131 129 0.5739460796 0.6773933791
132 130 0.5738545338 0.6773073305
133 131 0.5746555591 0.6772430348
134 132 0.5745640134 0.6771630132
135 133 0.5747242184 0.6770868641
136 134 0.5749988557 0.6770144627
137 135 0.5747699913 0.6769488704
138 136 0.5751590607 0.6768712881
139 137 0.5755939031 0.6767999464
140 138 0.5755710166 0.6767315844
141 139 0.5758914267 0.6766580612
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iter Accuracy Logloss
0 0.5215327622 0.6929069842
1 0.5201435517 0.6926980686
2 0.5235008104 0.6925995058
3 0.5243111831 0.6923741119
4 0.5240796481 0.6922359346
5 0.5217642973 0.6921532273
6 0.5241954156 0.6920533177
7 0.520838157 0.6919667553
8 0.520838157 0.6919667553
9 0.520838157 0.6918984047
10 0.5213012271 0.6918473786
11 0.5217642973 0.691760433
12 0.5231535078 0.6917269838
13 0.5210696921 0.6916992448
14 0.522343135 0.6916911046
15 0.5213012271 0.6916992139
16 0.5204908544 0.6917199845
17 0.5226904376 0.6917129587
18 0.5225746701 0.6916992772
19 0.5207223894 0.6917050845
20 0.5247742533 0.6916027729
21 0.5239638805 0.6916046624
22 0.5241954156 0.6916203654
23 0.5243111831 0.6916491893
24 0.5244269507 0.6916666458
25 0.5235008104 0.691666967
26 0.5229219727 0.6916827648
27 0.5245427182 0.6917018334
28 0.5222273674 0.6916998315
29 0.5224589025 0.6917500551
30 0.5222273674 0.691867972
31 0.5215327622 0.6918745283
32 0.5214169947 0.691873578
33 0.5215327622 0.6918621914
34 0.5222273674 0.691870106
35 0.5219958324 0.6919348629
36 0.5245427182 0.6920133967
37 0.5246584858 0.6920145372
38 0.5247742533 0.6920231409
39 0.5248900208 0.6920429941
40 0.5248900208 0.6920318228
41 0.5252373235 0.6920202842
42 0.525353091 0.6920430337
43 0.5247742533 0.6920265347
44 0.525353091 0.6920697067
45 0.5263949988 0.692116771
46 0.5259319287 0.692098178
47 0.5260476962 0.692152499
48 0.5262792313 0.6922137468
49 0.5270896041 0.6922167687
50 0.5272053716 0.6922875182
51 0.526858069 0.6923662256
52 0.526858069 0.6923707756
53 0.5270896041 0.6923776257
54 0.5259319287 0.692400255
55 0.5266265339 0.692269877
56 0.5260476962 0.6922932744
57 0.5266265339 0.6923264029
58 0.5263949988 0.692314059
59 0.5263949988 0.6923015601
60 0.5263949988 0.6923592968
61 0.5267423015 0.6923476579
62 0.5265107664 0.692348824
63 0.5259319287 0.6923600086
64 0.5254688585 0.692372751
65 0.5260476962 0.6924455742
66 0.5255846261 0.6924748157
67 0.5273211392 0.6924789867
68 0.5267423015 0.6924876711
69 0.5266265339 0.692489792
70 0.5266265339 0.6924869911
71 0.5267423015 0.6925206162
72 0.5262792313 0.6925313913
73 0.5258161611 0.6925367884
74 0.5265107664 0.6925626459
75 0.5273211392 0.6925711713
76 0.526858069 0.6926776812
77 0.5274369067 0.6926884897
78 0.5266265339 0.6926819413
79 0.5272053716 0.692682082
80 0.5270896041 0.6927326486
81 0.5266265339 0.69272742
82 0.5272053716 0.6927260891
83 0.5267423015 0.6927850957
84 0.5266265339 0.6928797523
85 0.526858069 0.6928753106
86 0.525353091 0.6929332764
87 0.5265107664 0.6929225447
88 0.5262792313 0.6929127979
89 0.5278999768 0.6929168776
90 0.5261634638 0.6930123071
91 0.5260476962 0.6930271402
92 0.525353091 0.693074147
93 0.5257003936 0.693098238
94 0.5252373235 0.6931168231
95 0.5252373235 0.6930889734
96 0.5265107664 0.6931814079
97 0.5265107664 0.6935736538
98 0.5257003936 0.6935709125
99 0.5262792313 0.6935839531
100 0.5250057884 0.6936165151
101 0.5250057884 0.6936424871
102 0.5246584858 0.6936432847
103 0.5245427182 0.6936493519
104 0.5248900208 0.6936865636
105 0.5252373235 0.693675143
106 0.5255846261 0.6936874053
107 0.5254688585 0.693689784
108 0.5251215559 0.6936707742
109 0.5241954156 0.6937073345
110 0.5243111831 0.6937614267
111 0.5219958324 0.6937989599
112 0.5218800648 0.6938027615
113 0.5232692753 0.6939119665
114 0.5235008104 0.6939374584
115 0.5229219727 0.6939266092
116 0.5222273674 0.6939398216
117 0.5221115999 0.6939581303
118 0.522343135 0.6940189884
119 0.5224589025 0.6940203223
120 0.5228062051 0.6940373975
121 0.5216485298 0.6940836851
122 0.5217642973 0.6940971538
123 0.5222273674 0.6941038908
124 0.5222273674 0.6941318899
125 0.5245427182 0.6941318581
126 0.5240796481 0.6939774214
127 0.5246584858 0.6939790446
128 0.5244269507 0.6939875313
129 0.5239638805 0.6940065251
130 0.5237323455 0.6940062666
131 0.5231535078 0.6940655128
132 0.5226904376 0.6940488902
133 0.5221115999 0.6940625077
134 0.5225746701 0.6940868198
135 0.5229219727 0.6940640084
136 0.5232692753 0.6941097371
137 0.5244269507 0.6940823091
138 0.5237323455 0.6941720366
139 0.5235008104 0.6942806828
1 iter Accuracy Logloss
2 0 0.5215327622 0.6929069842
3 1 0.5201435517 0.6926980686
4 2 0.5235008104 0.6925995058
5 3 0.5243111831 0.6923741119
6 4 0.5240796481 0.6922359346
7 5 0.5217642973 0.6921532273
8 6 0.5241954156 0.6920533177
9 7 0.520838157 0.6919667553
10 8 0.520838157 0.6919667553
11 9 0.520838157 0.6918984047
12 10 0.5213012271 0.6918473786
13 11 0.5217642973 0.691760433
14 12 0.5231535078 0.6917269838
15 13 0.5210696921 0.6916992448
16 14 0.522343135 0.6916911046
17 15 0.5213012271 0.6916992139
18 16 0.5204908544 0.6917199845
19 17 0.5226904376 0.6917129587
20 18 0.5225746701 0.6916992772
21 19 0.5207223894 0.6917050845
22 20 0.5247742533 0.6916027729
23 21 0.5239638805 0.6916046624
24 22 0.5241954156 0.6916203654
25 23 0.5243111831 0.6916491893
26 24 0.5244269507 0.6916666458
27 25 0.5235008104 0.691666967
28 26 0.5229219727 0.6916827648
29 27 0.5245427182 0.6917018334
30 28 0.5222273674 0.6916998315
31 29 0.5224589025 0.6917500551
32 30 0.5222273674 0.691867972
33 31 0.5215327622 0.6918745283
34 32 0.5214169947 0.691873578
35 33 0.5215327622 0.6918621914
36 34 0.5222273674 0.691870106
37 35 0.5219958324 0.6919348629
38 36 0.5245427182 0.6920133967
39 37 0.5246584858 0.6920145372
40 38 0.5247742533 0.6920231409
41 39 0.5248900208 0.6920429941
42 40 0.5248900208 0.6920318228
43 41 0.5252373235 0.6920202842
44 42 0.525353091 0.6920430337
45 43 0.5247742533 0.6920265347
46 44 0.525353091 0.6920697067
47 45 0.5263949988 0.692116771
48 46 0.5259319287 0.692098178
49 47 0.5260476962 0.692152499
50 48 0.5262792313 0.6922137468
51 49 0.5270896041 0.6922167687
52 50 0.5272053716 0.6922875182
53 51 0.526858069 0.6923662256
54 52 0.526858069 0.6923707756
55 53 0.5270896041 0.6923776257
56 54 0.5259319287 0.692400255
57 55 0.5266265339 0.692269877
58 56 0.5260476962 0.6922932744
59 57 0.5266265339 0.6923264029
60 58 0.5263949988 0.692314059
61 59 0.5263949988 0.6923015601
62 60 0.5263949988 0.6923592968
63 61 0.5267423015 0.6923476579
64 62 0.5265107664 0.692348824
65 63 0.5259319287 0.6923600086
66 64 0.5254688585 0.692372751
67 65 0.5260476962 0.6924455742
68 66 0.5255846261 0.6924748157
69 67 0.5273211392 0.6924789867
70 68 0.5267423015 0.6924876711
71 69 0.5266265339 0.692489792
72 70 0.5266265339 0.6924869911
73 71 0.5267423015 0.6925206162
74 72 0.5262792313 0.6925313913
75 73 0.5258161611 0.6925367884
76 74 0.5265107664 0.6925626459
77 75 0.5273211392 0.6925711713
78 76 0.526858069 0.6926776812
79 77 0.5274369067 0.6926884897
80 78 0.5266265339 0.6926819413
81 79 0.5272053716 0.692682082
82 80 0.5270896041 0.6927326486
83 81 0.5266265339 0.69272742
84 82 0.5272053716 0.6927260891
85 83 0.5267423015 0.6927850957
86 84 0.5266265339 0.6928797523
87 85 0.526858069 0.6928753106
88 86 0.525353091 0.6929332764
89 87 0.5265107664 0.6929225447
90 88 0.5262792313 0.6929127979
91 89 0.5278999768 0.6929168776
92 90 0.5261634638 0.6930123071
93 91 0.5260476962 0.6930271402
94 92 0.525353091 0.693074147
95 93 0.5257003936 0.693098238
96 94 0.5252373235 0.6931168231
97 95 0.5252373235 0.6930889734
98 96 0.5265107664 0.6931814079
99 97 0.5265107664 0.6935736538
100 98 0.5257003936 0.6935709125
101 99 0.5262792313 0.6935839531
102 100 0.5250057884 0.6936165151
103 101 0.5250057884 0.6936424871
104 102 0.5246584858 0.6936432847
105 103 0.5245427182 0.6936493519
106 104 0.5248900208 0.6936865636
107 105 0.5252373235 0.693675143
108 106 0.5255846261 0.6936874053
109 107 0.5254688585 0.693689784
110 108 0.5251215559 0.6936707742
111 109 0.5241954156 0.6937073345
112 110 0.5243111831 0.6937614267
113 111 0.5219958324 0.6937989599
114 112 0.5218800648 0.6938027615
115 113 0.5232692753 0.6939119665
116 114 0.5235008104 0.6939374584
117 115 0.5229219727 0.6939266092
118 116 0.5222273674 0.6939398216
119 117 0.5221115999 0.6939581303
120 118 0.522343135 0.6940189884
121 119 0.5224589025 0.6940203223
122 120 0.5228062051 0.6940373975
123 121 0.5216485298 0.6940836851
124 122 0.5217642973 0.6940971538
125 123 0.5222273674 0.6941038908
126 124 0.5222273674 0.6941318899
127 125 0.5245427182 0.6941318581
128 126 0.5240796481 0.6939774214
129 127 0.5246584858 0.6939790446
130 128 0.5244269507 0.6939875313
131 129 0.5239638805 0.6940065251
132 130 0.5237323455 0.6940062666
133 131 0.5231535078 0.6940655128
134 132 0.5226904376 0.6940488902
135 133 0.5221115999 0.6940625077
136 134 0.5225746701 0.6940868198
137 135 0.5229219727 0.6940640084
138 136 0.5232692753 0.6941097371
139 137 0.5244269507 0.6940823091
140 138 0.5237323455 0.6941720366
141 139 0.5235008104 0.6942806828
catboost_info/time_left.tsv
+141
View File
@@ -0,0 +1,141 @@
iter Passed Remaining
0 61 61139
1 66 33196
2 71 23708
3 76 18990
4 81 16262
5 86 14390
6 91 13010
7 97 12050
8 101 11219
9 107 10684
10 113 10199
11 118 9733
12 123 9371
13 129 9088
14 134 8843
15 139 8565
16 144 8375
17 149 8180
18 155 8031
19 160 7880
20 166 7774
21 171 7632
22 176 7499
23 181 7396
24 186 7277
25 191 7171
26 196 7090
27 202 7024
28 207 6943
29 217 7041
30 225 7061
31 234 7092
32 241 7067
33 247 7032
34 255 7032
35 261 7005
36 269 7006
37 275 6984
38 283 6981
39 289 6954
40 300 7027
41 308 7033
42 316 7052
43 324 7043
44 331 7029
45 336 6977
46 341 6926
47 349 6929
48 356 6923
49 364 6922
50 369 6878
51 375 6844
52 380 6806
53 386 6773
54 391 6730
55 396 6685
56 401 6646
57 406 6600
58 411 6566
59 416 6531
60 421 6490
61 427 6462
62 432 6425
63 436 6384
64 441 6349
65 446 6316
66 452 6296
67 457 6267
68 462 6243
69 467 6211
70 472 6182
71 477 6156
72 482 6128
73 487 6104
74 493 6088
75 499 6068
76 504 6043
77 509 6020
78 515 6005
79 519 5979
80 525 5959
81 530 5935
82 534 5908
83 539 5887
84 545 5876
85 555 5906
86 562 5903
87 568 5889
88 575 5890
89 580 5874
90 585 5852
91 592 5844
92 597 5830
93 602 5806
94 607 5791
95 613 5778
96 618 5756
97 623 5743
98 629 5729
99 634 5713
100 640 5701
101 645 5684
102 650 5664
103 655 5647
104 661 5641
105 667 5626
106 672 5610
107 677 5595
108 682 5580
109 687 5566
110 693 5552
111 699 5543
112 704 5529
113 709 5513
114 714 5498
115 719 5481
116 725 5477
117 731 5468
118 737 5460
119 744 5458
120 751 5456
121 758 5455
122 763 5446
123 774 5469
124 781 5467
125 792 5495
126 797 5480
127 804 5481
128 809 5466
129 814 5448
130 819 5437
131 825 5429
132 830 5416
133 838 5418
134 843 5403
135 848 5392
136 854 5384
137 860 5375
138 867 5370
139 872 5357
1 iter Passed Remaining
2 0 61 61139
3 1 66 33196
4 2 71 23708
5 3 76 18990
6 4 81 16262
7 5 86 14390
8 6 91 13010
9 7 97 12050
10 8 101 11219
11 9 107 10684
12 10 113 10199
13 11 118 9733
14 12 123 9371
15 13 129 9088
16 14 134 8843
17 15 139 8565
18 16 144 8375
19 17 149 8180
20 18 155 8031
21 19 160 7880
22 20 166 7774
23 21 171 7632
24 22 176 7499
25 23 181 7396
26 24 186 7277
27 25 191 7171
28 26 196 7090
29 27 202 7024
30 28 207 6943
31 29 217 7041
32 30 225 7061
33 31 234 7092
34 32 241 7067
35 33 247 7032
36 34 255 7032
37 35 261 7005
38 36 269 7006
39 37 275 6984
40 38 283 6981
41 39 289 6954
42 40 300 7027
43 41 308 7033
44 42 316 7052
45 43 324 7043
46 44 331 7029
47 45 336 6977
48 46 341 6926
49 47 349 6929
50 48 356 6923
51 49 364 6922
52 50 369 6878
53 51 375 6844
54 52 380 6806
55 53 386 6773
56 54 391 6730
57 55 396 6685
58 56 401 6646
59 57 406 6600
60 58 411 6566
61 59 416 6531
62 60 421 6490
63 61 427 6462
64 62 432 6425
65 63 436 6384
66 64 441 6349
67 65 446 6316
68 66 452 6296
69 67 457 6267
70 68 462 6243
71 69 467 6211
72 70 472 6182
73 71 477 6156
74 72 482 6128
75 73 487 6104
76 74 493 6088
77 75 499 6068
78 76 504 6043
79 77 509 6020
80 78 515 6005
81 79 519 5979
82 80 525 5959
83 81 530 5935
84 82 534 5908
85 83 539 5887
86 84 545 5876
87 85 555 5906
88 86 562 5903
89 87 568 5889
90 88 575 5890
91 89 580 5874
92 90 585 5852
93 91 592 5844
94 92 597 5830
95 93 602 5806
96 94 607 5791
97 95 613 5778
98 96 618 5756
99 97 623 5743
100 98 629 5729
101 99 634 5713
102 100 640 5701
103 101 645 5684
104 102 650 5664
105 103 655 5647
106 104 661 5641
107 105 667 5626
108 106 672 5610
109 107 677 5595
110 108 682 5580
111 109 687 5566
112 110 693 5552
113 111 699 5543
114 112 704 5529
115 113 709 5513
116 114 714 5498
117 115 719 5481
118 116 725 5477
119 117 731 5468
120 118 737 5460
121 119 744 5458
122 120 751 5456
123 121 758 5455
124 122 763 5446
125 123 774 5469
126 124 781 5467
127 125 792 5495
128 126 797 5480
129 127 804 5481
130 128 809 5466
131 129 814 5448
132 130 819 5437
133 131 825 5429
134 132 830 5416
135 133 838 5418
136 134 843 5403
137 135 848 5392
138 136 854 5384
139 137 860 5375
140 138 867 5370
141 139 872 5357