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nominal.out
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nohup: ignoring input
Running in exact mode
Distance parameter set to 0.054
Dataset 1 size is 10000
Dataset 2 size is 10000
Calculating test statistic for nominal dataset:
dist_11 = 0.0183702
dist_22 = 0.0182152
dist_12 = 0.0365719
T = 1.34645e-05
Running 500 permutations of 10000 and 10000 events using seed 5489
Calculating permutation 100 of 500
Calculating permutation 200 of 500
Calculating permutation 300 of 500
Calculating permutation 400 of 500
Calculating permutation 500 of 500
p value is: 0.196
nohup: ignoring input
Running in exact mode
Distance parameter set to 0.054
Dataset 1 size is 10000
Dataset 2 size is 10000
Calculating test statistic for nominal dataset:
dist_11 = 0.0183702
dist_22 = 0.0182152
dist_12 = 0.0365719
T = 1.34645e-05
Running 500 permutations of 10000 and 10000 events using seed 2871
Calculating permutation 100 of 500
Calculating permutation 200 of 500
Calculating permutation 300 of 500
Calculating permutation 400 of 500
Calculating permutation 500 of 500
p value is: 0.206
nohup: ignoring input
Running in exact mode
Distance parameter set to 0.054
Dataset 1 size is 10000
Dataset 2 size is 10000
Calculating test statistic for nominal dataset:
dist_11 = 0.0183702
dist_22 = 0.0182152
dist_12 = 0.0365719
T = 1.34645e-05
Running 500 permutations of 10000 and 10000 events using seed 3589
Calculating permutation 100 of 500
Calculating permutation 200 of 500
Calculating permutation 300 of 500
Calculating permutation 400 of 500
Calculating permutation 500 of 500
p value is: 0.236
nohup: ignoring input
Running in exact mode
Distance parameter set to 0.054
Dataset 1 size is 10000
Dataset 2 size is 10000
Calculating test statistic for nominal dataset:
dist_11 = 0.0183702
dist_22 = 0.0182152
dist_12 = 0.0365719
T = 1.34645e-05
Running 500 permutations of 10000 and 10000 events using seed 9776
Calculating permutation 100 of 500
Calculating permutation 200 of 500
Calculating permutation 300 of 500
Calculating permutation 400 of 500
Calculating permutation 500 of 500
p value is: 0.228