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Alexander Mozeika 2023-06-27 14:10:35 +01:00 committed by GitHub
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11
carnot/committee_sizes.py
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@ -13,9 +13,10 @@ def compute_optimal_number_of_committees_and_committee_size(
network_adversary_threshold: float network_adversary_threshold: float
): ):
assert failure_threshold > 0 assert failure_threshold > 0
# N is the number of nodes, delta is the failure prob. which can be tolerated, # number_of_nodes is the number of nodes in the network
# A is the fraction of a committee (typical value is 1/3) and P # failure_threshold is the prob. of failure which can be tolerated
# is the fraction of adversarial nodes (typical value is 1/4). # adversaries_threshold_per_committee is the fraction Byzantine modes in a committee
# network_adversary_threshold is the fraction of Byzantine nodes in the network
number_of_committees = 1 number_of_committees = 1
committee_size = number_of_nodes committee_size = number_of_nodes
remainder = 0 remainder = 0
@ -48,6 +49,6 @@ def compute_optimal_number_of_committees_and_committee_size(
) )
else: else:
current_probability = 1 - committee_size_probability ** number_of_committees current_probability = 1 - committee_size_probability ** number_of_committees
# return number of committees, K_1, committee size, n_1, number of committees # return the number_of_committees, committee_size, remainder and current_probability
# with size n_1+1, r_1 and prob. of failure, Prob_1. # computed at the previous iteration.
return previous_number_of_committees, previous_committee_size, previous_remainder, previous_probability return previous_number_of_committees, previous_committee_size, previous_remainder, previous_probability