//! Integration tests of the Asynchronous Common Subset protocol. extern crate env_logger; extern crate hbbft; #[macro_use] extern crate log; extern crate pairing; extern crate rand; #[macro_use] extern crate serde_derive; mod network; use std::collections::{BTreeMap, BTreeSet}; use std::iter::once; use std::sync::Arc; use hbbft::common_subset::CommonSubset; use hbbft::messaging::NetworkInfo; use network::{Adversary, MessageScheduler, NodeUid, SilentAdversary, TestNetwork, TestNode}; type ProposedValue = Vec; fn test_common_subset>>( mut network: TestNetwork>, inputs: &BTreeMap, ) { let ids: Vec = network.nodes.keys().cloned().collect(); for id in ids { if let Some(value) = inputs.get(&id) { network.input(id, value.to_owned()); } } // Terminate when all good nodes do. while !network.nodes.values().all(TestNode::terminated) { network.step(); } // Verify that all instances output the same set. let mut expected = None; for node in network.nodes.values() { if let Some(output) = expected.as_ref() { assert!(once(output).eq(node.outputs())); continue; } assert_eq!(1, node.outputs().len()); expected = Some(node.outputs()[0].clone()); } let output = expected.unwrap(); assert!(once(&output).eq(network.observer.outputs())); // The Common Subset algorithm guarantees that more than two thirds of the proposed elements // are in the set. assert!(output.len() * 3 > inputs.len() * 2); // Verify that the set's elements match the proposed values. for (id, value) in output { assert_eq!(inputs[&id], value); } } fn new_network( good_num: usize, bad_num: usize, adversary: F, ) -> TestNetwork> where A: Adversary>, F: Fn(BTreeMap>>) -> A, { // This returns an error in all but the first test. let _ = env_logger::try_init(); let new_common_subset = |netinfo: Arc>| { CommonSubset::new(netinfo, 0).expect("new Common Subset instance") }; TestNetwork::new(good_num, bad_num, adversary, new_common_subset) } #[test] fn test_common_subset_3_out_of_4_nodes_propose() { let proposed_value = Vec::from("Fake news"); let proposing_ids: BTreeSet = (0..3).map(NodeUid).collect(); let proposals: BTreeMap = proposing_ids .iter() .map(|id| (*id, proposed_value.clone())) .collect(); let adversary = |_| SilentAdversary::new(MessageScheduler::First); let network = new_network(3, 1, adversary); test_common_subset(network, &proposals); } #[test] fn test_common_subset_5_nodes_different_proposed_values() { let proposed_values = vec![ Vec::from("Alpha"), Vec::from("Bravo"), Vec::from("Charlie"), Vec::from("Delta"), Vec::from("Echo"), ]; let proposals: BTreeMap = (0..5) .into_iter() .map(NodeUid) .zip(proposed_values) .collect(); let adversary = |_| SilentAdversary::new(MessageScheduler::Random); let network = new_network(5, 0, adversary); test_common_subset(network, &proposals); } #[test] fn test_common_subset_1_node() { let proposals: BTreeMap = once((NodeUid(0), Vec::from("Node 0 is the greatest!"))).collect(); let adversary = |_| SilentAdversary::new(MessageScheduler::Random); let network = new_network(1, 0, adversary); test_common_subset(network, &proposals); }