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Update testcases

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Gusto 2023-08-23 12:42:49 +03:00
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scripts/test_cases.csv
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overlay,nodes,committees_or_depth,description
tree,1620,3,simulates 1620 nodes; simulates 540 per 3 committees + 0 USED remainder; probability: 0.000017345841920257676;committee_sizes.py params - nodes: 1620; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
tree,1000,1,simulates 1000 nodes; simulates 1000 per 1 committees + 0 USED remainder; probability: 0,committee_sizes.py params - nodes: 1000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
tree,2000,3,simulates 2000 nodes; simulates 666 per 3 committees + 2 USED remainder; probability: 0.00000192337556170763,committee_sizes.py params - nodes: 2000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
tree,3000,5,simulates 3000 nodes; simulates 600 per 5 committees + 0 USED remainder; probability: 0.000009725008408789648,committee_sizes.py params - nodes: 3000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
tree,4000,7,simulates 4000 nodes; simulates 571 per 7 committees + 3 USED remainder; probability: 0.00002806108402630958,committee_sizes.py params - nodes: 4000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
tree,5000,9,simulates 5000 nodes; simulates 555 per 9 committees + 5 USED remainder; probability: 0.00004252906900892306
tree,6000,11,simulates 6000 nodes; simulates 545 per 11 committees + 5 USED remainder; probability: 0.00006802331920519045,committee_sizes.py params - nodes: 6000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
tree,7000,13,simulates 7000 nodes; simulates 538 per 13 committees + 6 USED remainder; probability: 0.00009538350170068544,committee_sizes.py params - nodes: 7000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
tree,8000,13,simulates 8000 nodes; simulates 615 per 13 committees + 5 USED remainder; probability: 0.000020246096363307764,committee_sizes.py params - nodes: 8000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
tree,9000,15,simulates 9000 nodes; simulates 600 per 15 committees + 0 USED remainder; probability: 0.000029174741499993218,committee_sizes.py params - nodes: 9000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
tree,10000,17,simulates 10000 nodes; simulates 588 per 17 committees + 4 USED remainder; probability: 0.00004237745769197776
branch,3105,5,simulates 39160 nodes; simulates 621 per 63 committees + 37 UNUSED remainder; probability: 0.00009024947242197712;committee_sizes.py params - nodes: 39160; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,3924,6,simulates 83116 nodes; simulates 654 per 127 committees + 58 UNUSED remainder; probability: 0.0000985621691587113;committee_sizes.py params - nodes: 83116; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,4872,7,simulates 177511 nodes; simulates 696 per 255 committees + 31 UNUSED remainder; probability: 0.00008888668427209367;committee_sizes.py params - nodes: 177511; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,5824,8,simulates 372511 nodes; simulates 728 per 511 committees + 503 UNUSED remainder; probability: 0.00009728747293380469;committee_sizes.py params - nodes: 372511; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,6993,9,simulates 795631 nodes; simulates 777 per 1023 committees + 760 UNUSED remainder; probability: 0.0000896362694714492
branch,8180,10,simulates 1676225 nodes; simulates 818 per 2047 committees + 1779 UNUSED remainder; probability: 0.00008043611783115079
branch,1614,3,simulates 7003 nodes; simulates 538 per 13 committees + 9 UNUSED remainder; probability: 0.00009811646636148641,committee_sizes.py params - nodes: 7003; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,2308,4,simulates 16733 nodes; simulates 577 per 29 committees + 0 UNUSED remainder; probability: 0.00009868980936655891,committee_sizes.py params - nodes: 16733; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,3100,5,simulates 37848 nodes; simulates 620 per 61 committees + 28 UNUSED remainder; probability: 0.00009652466367993107,committee_sizes.py params - nodes: 37848; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,3924,6,simulates 81804 nodes; simulates 654 per 125 committees + 54 UNUSED remainder; probability: 0.00009671307531333717,committee_sizes.py params - nodes: 81804; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,4851,7,simulates 175332 nodes; simulates 693 per 253 committees + 3 UNUSED remainder; probability: 0.0000917728402899387,committee_sizes.py params - nodes: 175332; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,5856,8,simulates 372838 nodes; simulates 732 per 509 committees + 250 UNUSED remainder; probability: 0.0000971800585475302,committee_sizes.py params - nodes: 372838; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,6966,9,simulates 792824 nodes; simulates 774 per 1023 committees + 1022 UNUSED remainder; probability: 0.00009748275229926051,committee_sizes.py params - nodes: 792824; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,8150,10,simulates 1668650 nodes; simulates 815 per 2045 committees + 1975 UNUSED remainder; probability: 0.00008207691529016348,committee_sizes.py params - nodes: 1668650; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,9427,11,simulates 3508971 nodes; simulates 857 per 4093 committees + 1270 UNUSED remainder; probability: 0.000094749532302707,committee_sizes.py params - nodes: 3508971; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,10752,12,simulates 7338499 nodes; simulates 896 per 8189 committees + 1155 UNUSED remainder; probability: 0.0000987421406730693,committee_sizes.py params - nodes: 7338499; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,12155,13,simulates 15320509 nodes; simulates 935 per 16383 committees + 2404 UNUSED remainder; probability: 0.00009817994633276594,committee_sizes.py params - nodes: 15320509; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,13636,14,simulates 31917950 nodes; simulates 974 per 32767 committees + 2892 UNUSED remainder; probability: 0.00009934397635535941,committee_sizes.py params - nodes: 31917950; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
branch,15195,15,simulates 66388991 nodes; simulates 1013 per 65533 committees + 4062 UNUSED remainder; probability: 0.00009972695603333026,committee_sizes.py params - nodes: 66388991; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25

1 overlay overlay,nodes,committees_or_depth,description nodes committees_or_depth description
2 tree tree,1000,1,simulates 1000 nodes; simulates 1000 per 1 committees + 0 USED remainder; probability: 0,committee_sizes.py params - nodes: 1000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25; 1620 3 simulates 1620 nodes; simulates 540 per 3 committees + 0 USED remainder; probability: 0.000017345841920257676;committee_sizes.py params - nodes: 1620; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
3 tree,2000,3,simulates 2000 nodes; simulates 666 per 3 committees + 2 USED remainder; probability: 0.00000192337556170763,committee_sizes.py params - nodes: 2000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
4 tree,3000,5,simulates 3000 nodes; simulates 600 per 5 committees + 0 USED remainder; probability: 0.000009725008408789648,committee_sizes.py params - nodes: 3000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
5 tree,4000,7,simulates 4000 nodes; simulates 571 per 7 committees + 3 USED remainder; probability: 0.00002806108402630958,committee_sizes.py params - nodes: 4000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
6 tree tree,5000,9,simulates 5000 nodes; simulates 555 per 9 committees + 5 USED remainder; probability: 0.00004252906900892306 5000 9 simulates 5000 nodes; simulates 555 per 9 committees + 5 USED remainder; probability: 0.00004252906900892306
7 tree,6000,11,simulates 6000 nodes; simulates 545 per 11 committees + 5 USED remainder; probability: 0.00006802331920519045,committee_sizes.py params - nodes: 6000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
8 tree,7000,13,simulates 7000 nodes; simulates 538 per 13 committees + 6 USED remainder; probability: 0.00009538350170068544,committee_sizes.py params - nodes: 7000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
9 tree,8000,13,simulates 8000 nodes; simulates 615 per 13 committees + 5 USED remainder; probability: 0.000020246096363307764,committee_sizes.py params - nodes: 8000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
10 tree,9000,15,simulates 9000 nodes; simulates 600 per 15 committees + 0 USED remainder; probability: 0.000029174741499993218,committee_sizes.py params - nodes: 9000; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25;
11 tree tree,10000,17,simulates 10000 nodes; simulates 588 per 17 committees + 4 USED remainder; probability: 0.00004237745769197776 10000 17 simulates 10000 nodes; simulates 588 per 17 committees + 4 USED remainder; probability: 0.00004237745769197776
12 branch branch,1614,3,simulates 7003 nodes; simulates 538 per 13 committees + 9 UNUSED remainder; probability: 0.00009811646636148641,committee_sizes.py params - nodes: 7003; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25 3105 5 simulates 39160 nodes; simulates 621 per 63 committees + 37 UNUSED remainder; probability: 0.00009024947242197712;committee_sizes.py params - nodes: 39160; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
13 branch branch,2308,4,simulates 16733 nodes; simulates 577 per 29 committees + 0 UNUSED remainder; probability: 0.00009868980936655891,committee_sizes.py params - nodes: 16733; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25 3924 6 simulates 83116 nodes; simulates 654 per 127 committees + 58 UNUSED remainder; probability: 0.0000985621691587113;committee_sizes.py params - nodes: 83116; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
14 branch branch,3100,5,simulates 37848 nodes; simulates 620 per 61 committees + 28 UNUSED remainder; probability: 0.00009652466367993107,committee_sizes.py params - nodes: 37848; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25 4872 7 simulates 177511 nodes; simulates 696 per 255 committees + 31 UNUSED remainder; probability: 0.00008888668427209367;committee_sizes.py params - nodes: 177511; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
15 branch branch,3924,6,simulates 81804 nodes; simulates 654 per 125 committees + 54 UNUSED remainder; probability: 0.00009671307531333717,committee_sizes.py params - nodes: 81804; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25 5824 8 simulates 372511 nodes; simulates 728 per 511 committees + 503 UNUSED remainder; probability: 0.00009728747293380469;committee_sizes.py params - nodes: 372511; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
16 branch branch,4851,7,simulates 175332 nodes; simulates 693 per 253 committees + 3 UNUSED remainder; probability: 0.0000917728402899387,committee_sizes.py params - nodes: 175332; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25 6993 9 simulates 795631 nodes; simulates 777 per 1023 committees + 760 UNUSED remainder; probability: 0.0000896362694714492
17 branch branch,5856,8,simulates 372838 nodes; simulates 732 per 509 committees + 250 UNUSED remainder; probability: 0.0000971800585475302,committee_sizes.py params - nodes: 372838; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25 8180 10 simulates 1676225 nodes; simulates 818 per 2047 committees + 1779 UNUSED remainder; probability: 0.00008043611783115079
18 branch,6966,9,simulates 792824 nodes; simulates 774 per 1023 committees + 1022 UNUSED remainder; probability: 0.00009748275229926051,committee_sizes.py params - nodes: 792824; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
19 branch,8150,10,simulates 1668650 nodes; simulates 815 per 2045 committees + 1975 UNUSED remainder; probability: 0.00008207691529016348,committee_sizes.py params - nodes: 1668650; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
20 branch,9427,11,simulates 3508971 nodes; simulates 857 per 4093 committees + 1270 UNUSED remainder; probability: 0.000094749532302707,committee_sizes.py params - nodes: 3508971; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
21 branch,10752,12,simulates 7338499 nodes; simulates 896 per 8189 committees + 1155 UNUSED remainder; probability: 0.0000987421406730693,committee_sizes.py params - nodes: 7338499; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
22 branch,12155,13,simulates 15320509 nodes; simulates 935 per 16383 committees + 2404 UNUSED remainder; probability: 0.00009817994633276594,committee_sizes.py params - nodes: 15320509; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
23 branch,13636,14,simulates 31917950 nodes; simulates 974 per 32767 committees + 2892 UNUSED remainder; probability: 0.00009934397635535941,committee_sizes.py params - nodes: 31917950; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25
24 branch,15195,15,simulates 66388991 nodes; simulates 1013 per 65533 committees + 4062 UNUSED remainder; probability: 0.00009972695603333026,committee_sizes.py params - nodes: 66388991; failure_threshold: 0.0001; carnot_adversary_threshold_per_committee: 0.3333333333333333; carnot_network_adversary_threshold: 0.25