logos-blockchain-simulations/scripts/test_cases.csv

1	overlay	nodes	committees_or_depth	description
2	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;
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	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_threshold0.25; | sponge 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	10000	17	simulates 10000 nodes; simulates 588 per 17 committees + 4 USED remainder; probability: 0.00004237745769197776
12	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
13	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
14	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
15	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
16	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
17	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
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