# every node is a neighbor of the other for right now
for i in range(0, len(nodes)):
for j in range(0, len(nodes)):
if i != j:
nodes[i].add_neighbor(nodes[j])
tx_rate = TX_RATE if 'transaction_rate' not in params else params[
'transaction_rate']
# generate mock poisson dataset
if params['dataset'] == 'poisson':
tx_dataset = generate_tx_dataset.poisson(tx_rate, params['duration'],
0, c.nodes)
elif params['dataset'] == 'deterministic':
tx_dataset = generate_tx_dataset.deterministic(tx_rate,
params['duration'], 0,
c.nodes)
# generate proposal events
c.generate_proposals()
# set transaction dataset
c.set_transactions(tx_dataset)
# create arrays to store proposals and transactions
for node_id in range(0, num_nodes):
nodes[node_id].create_arrays(len(tx_dataset))
# run simulation
c.run()
