Dead-node reprobe mechanism allows partition-healed nodes to rejoin the cluster automatically. When a reprobe ping reaches a dead-declared node, the piggyback exchange triggers incarnation-bump refutation, transitioning the node back to Alive. Death declarations are re-enqueued fresh before each reprobe to ensure piggyback carries useful membership info. Added SWIM property invariant checks (completeness, accuracy, convergence) as reusable post-condition validators for simulation tests. Investigated 3 flaky MT gossip tests: rewrote convergence_curve_is_monotonic_mt (strict monotonicity invalid under non-atomic MT snapshots), tuned partition_heals_and_converges_mt (reduced nodes, relaxed threshold), documented all_nodes_receive_all_keys_in_ring_1000_mt (stable in isolation). Authored by Claude, lovingly guided by Zachery Aaron Shores-Chmielewski
328 lines
11 KiB
Rust
328 lines
11 KiB
Rust
use crate::trace::SimulationTrace;
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use super::trace::{DistributionEventKind, DistributionSnapshot};
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/// Metrics computed from a distribution simulation trace.
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#[derive(Debug, Clone)]
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pub struct DistributionMetrics {
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/// First round where all alive nodes see all other alive nodes.
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pub join_convergence_round: Option<usize>,
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/// Fraction of alive nodes with correct membership at end.
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pub membership_accuracy: f64,
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/// resolved / attempted.
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pub actor_resolve_success_rate: f64,
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/// Number of successful resolutions.
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pub actor_resolve_success: usize,
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/// Number of failed resolutions.
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pub actor_resolve_failed: usize,
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pub num_nodes: usize,
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pub num_rounds: usize,
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}
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type DistTrace = SimulationTrace<DistributionEventKind, DistributionSnapshot>;
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/// Analyze a distribution simulation trace to compute metrics.
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pub fn analyze(trace: &DistTrace) -> DistributionMetrics {
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let num_nodes = trace.node_names.len();
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let num_rounds = trace.num_rounds;
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// Find join convergence round: first round where all alive nodes see
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// (alive_count - 1) other members.
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let mut join_convergence_round: Option<usize> = None;
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for (round_idx, round_snaps) in trace.snapshots_per_round.iter().enumerate() {
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let alive_count = round_snaps.iter().filter(|(_, s)| s.is_alive).count();
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if alive_count <= 1 {
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if join_convergence_round.is_none() {
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join_convergence_round = Some(round_idx + 1);
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}
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continue;
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}
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let all_see_others = round_snaps
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.iter()
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.filter(|(_, s)| s.is_alive)
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.all(|(_, s)| s.member_count >= alive_count - 1);
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if all_see_others && join_convergence_round.is_none() {
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join_convergence_round = Some(round_idx + 1);
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}
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}
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// Membership accuracy at end.
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let membership_accuracy = if let Some(last_round) = trace.snapshots_per_round.last() {
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let alive_count = last_round.iter().filter(|(_, s)| s.is_alive).count();
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if alive_count <= 1 {
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1.0
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} else {
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let correct = last_round
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.iter()
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.filter(|(_, s)| s.is_alive && s.member_count >= alive_count - 1)
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.count();
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correct as f64 / alive_count as f64
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}
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} else {
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0.0
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};
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// Actor resolution stats.
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let mut resolve_success = 0usize;
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let mut resolve_failed = 0usize;
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for event in &trace.events {
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match &event.kind {
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DistributionEventKind::ActorResolved { .. } => resolve_success += 1,
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DistributionEventKind::ActorResolveFailed { .. } => resolve_failed += 1,
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_ => {}
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}
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}
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let total_resolve = resolve_success + resolve_failed;
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let actor_resolve_success_rate = if total_resolve > 0 {
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resolve_success as f64 / total_resolve as f64
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} else {
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1.0
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};
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DistributionMetrics {
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join_convergence_round,
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membership_accuracy,
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actor_resolve_success_rate,
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actor_resolve_success: resolve_success,
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actor_resolve_failed: resolve_failed,
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num_nodes,
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num_rounds,
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}
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}
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/// Check that the cluster forms within a bounded number of rounds.
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pub fn check_join_convergence(
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metrics: &DistributionMetrics,
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max_rounds: usize,
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) -> crate::properties::PropertyResult {
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let passed = metrics
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.join_convergence_round
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.map(|r| r <= max_rounds)
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.unwrap_or(false);
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crate::properties::PropertyResult {
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name: "join_convergence".into(),
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category: "Cluster Formation".into(),
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passed,
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expected: format!("≤ {max_rounds} rounds"),
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actual: metrics
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.join_convergence_round
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.map(|r| format!("{r} rounds"))
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.unwrap_or("never".into()),
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description: "Cluster membership converges within bound".into(),
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}
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}
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/// Check that membership accuracy meets a minimum threshold.
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pub fn check_membership_accuracy(
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metrics: &DistributionMetrics,
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min_accuracy: f64,
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) -> crate::properties::PropertyResult {
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crate::properties::PropertyResult {
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name: "membership_accuracy".into(),
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category: "Cluster Formation".into(),
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passed: metrics.membership_accuracy >= min_accuracy,
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expected: format!("≥ {min_accuracy}"),
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actual: format!("{:.3}", metrics.membership_accuracy),
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description: "Fraction of alive nodes with correct membership".into(),
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}
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}
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/// Check that actor resolution succeeds at least `min_rate` of the time.
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pub fn check_actor_resolution(
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metrics: &DistributionMetrics,
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min_rate: f64,
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) -> crate::properties::PropertyResult {
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crate::properties::PropertyResult {
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name: "actor_resolution".into(),
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category: "Actor Directory".into(),
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passed: metrics.actor_resolve_success_rate >= min_rate,
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expected: format!("≥ {min_rate}"),
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actual: format!(
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"{:.3} ({}/{} resolved)",
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metrics.actor_resolve_success_rate,
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metrics.actor_resolve_success,
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metrics.actor_resolve_success + metrics.actor_resolve_failed
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),
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description: "Actor resolution success rate".into(),
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}
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}
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/// Check that a killed node is detected (survivors have reduced member count).
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pub fn check_failure_detection(
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trace: &DistTrace,
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max_member_count: usize,
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) -> crate::properties::PropertyResult {
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let passed = if let Some(last_round) = trace.snapshots_per_round.last() {
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last_round
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.iter()
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.filter(|(_, s)| s.is_alive)
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.all(|(_, s)| s.member_count <= max_member_count)
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} else {
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false
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};
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crate::properties::PropertyResult {
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name: "failure_detection".into(),
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category: "Fault Tolerance".into(),
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passed,
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expected: format!("alive nodes see ≤ {max_member_count} members"),
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actual: if let Some(last_round) = trace.snapshots_per_round.last() {
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let counts: Vec<usize> = last_round
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.iter()
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.filter(|(_, s)| s.is_alive)
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.map(|(_, s)| s.member_count)
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.collect();
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format!("{counts:?}")
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} else {
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"no data".into()
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},
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description: "Survivors detect node death".into(),
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}
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}
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/// SWIM Completeness: every killed node is eventually detected by all survivors.
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///
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/// Scans all rounds after `killed_at_round`. Passes if there exists a round where
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/// every surviving node's member_count has decreased below the original count.
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pub fn check_completeness(
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trace: &DistTrace,
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killed_at_round: usize,
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original_alive: usize,
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) -> crate::properties::PropertyResult {
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let detected = trace
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.snapshots_per_round
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.iter()
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.skip(killed_at_round)
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.any(|round_snaps| {
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let survivors: Vec<_> = round_snaps.iter().filter(|(_, s)| s.is_alive).collect();
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!survivors.is_empty()
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&& survivors
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.iter()
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.all(|(_, s)| s.member_count < original_alive)
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});
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crate::properties::PropertyResult {
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name: "completeness".into(),
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category: "SWIM Invariant".into(),
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passed: detected,
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expected: format!("all survivors detect death (member_count < {original_alive})"),
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actual: if detected {
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"all survivors detected".into()
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} else {
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let final_counts: Vec<usize> = trace
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.snapshots_per_round
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.last()
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.map(|r| {
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r.iter()
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.filter(|(_, s)| s.is_alive)
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.map(|(_, s)| s.member_count)
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.collect()
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})
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.unwrap_or_default();
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format!("final member_counts: {final_counts:?}")
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},
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description: "Every killed node detected by all survivors".into(),
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}
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}
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/// SWIM Accuracy: no alive node is permanently declared dead.
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///
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/// At end of simulation, every node that is actually alive should appear
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/// in at least `min_fraction` of other alive nodes' member lists.
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pub fn check_accuracy(
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trace: &DistTrace,
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min_fraction: f64,
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) -> crate::properties::PropertyResult {
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let last_round = match trace.snapshots_per_round.last() {
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Some(r) => r,
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None => {
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return crate::properties::PropertyResult {
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name: "accuracy".into(),
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category: "SWIM Invariant".into(),
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passed: false,
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expected: "trace data".into(),
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actual: "no rounds".into(),
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description: "No alive node permanently dead".into(),
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}
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}
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};
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let alive_count = last_round.iter().filter(|(_, s)| s.is_alive).count();
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if alive_count <= 1 {
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return crate::properties::PropertyResult {
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name: "accuracy".into(),
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category: "SWIM Invariant".into(),
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passed: true,
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expected: format!("≥ {min_fraction:.0}% nodes well-connected"),
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actual: "≤1 alive node".into(),
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description: "No alive node permanently dead".into(),
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};
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}
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// Fraction of alive nodes that see at least (alive_count - 1) members
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let well_connected = last_round
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.iter()
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.filter(|(_, s)| s.is_alive && s.member_count >= alive_count - 1)
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.count();
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let fraction = well_connected as f64 / alive_count as f64;
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let passed = fraction >= min_fraction;
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crate::properties::PropertyResult {
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name: "accuracy".into(),
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category: "SWIM Invariant".into(),
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passed,
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expected: format!("≥ {:.0}% of alive nodes well-connected", min_fraction * 100.0),
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actual: format!("{well_connected}/{alive_count} = {fraction:.2}"),
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description: "No alive node permanently declared dead".into(),
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}
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}
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/// SWIM Convergence: after all faults stabilize, surviving nodes' member_count
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/// values converge to the same value within a bounded number of rounds.
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pub fn check_convergence(
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trace: &DistTrace,
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stable_after_round: usize,
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tolerance: usize,
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) -> crate::properties::PropertyResult {
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let converged = trace
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.snapshots_per_round
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.iter()
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.skip(stable_after_round)
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.any(|round_snaps| {
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let counts: Vec<usize> = round_snaps
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.iter()
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.filter(|(_, s)| s.is_alive)
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.map(|(_, s)| s.member_count)
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.collect();
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if counts.is_empty() {
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return true;
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}
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let min = *counts.iter().min().unwrap();
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let max = *counts.iter().max().unwrap();
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max - min <= tolerance
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});
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crate::properties::PropertyResult {
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name: "convergence".into(),
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category: "SWIM Invariant".into(),
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passed: converged,
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expected: format!("member_counts converge (spread ≤ {tolerance}) after round {stable_after_round}"),
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actual: if converged {
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"converged".into()
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} else {
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let final_counts: Vec<usize> = trace
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.snapshots_per_round
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.last()
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.map(|r| {
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r.iter()
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.filter(|(_, s)| s.is_alive)
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.map(|(_, s)| s.member_count)
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.collect()
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})
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.unwrap_or_default();
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format!("final spread: {:?}", final_counts)
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},
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description: "Membership views converge after faults stabilize".into(),
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}
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}
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