feat(verify): expand formal verification to 7 specs, add versioning, CI integration
Added 3 new TLA+ specs: - gossip.tla — SWIM gossip membership & failure detection - deadlock.tla — wait-for graph deadlock detection - sharding.tla — consistent hashing shard assignment Improved existing 4 specs: - raft.tla: added CommittedIndexValid invariant - twopc.tla: added CoordinatorConsistency, NoDecideWithoutConsensus, ParticipantStateValid; increased to MaxTxnId=3 - mvcc.tla: added CommittedMustStart, CommittedVersionsUnique - replication.tla: added AppliedLteCurrent, SemiSyncQuorum Infrastructure: - VERSION file (1.0.0) - CHANGELOG.md - ANALYSIS.md (weak spots & improvement plan) - run_all.sh script for batch TLC verification - CI verify job in GitHub Actions - Updated README with new specs and properties Total: 7 specs, 26 invariants, 11.6M states checked, 0 errors
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-------------------------------- MODULE gossip --------------------------------
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(*
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TLA+ specification of the SWIM-like gossip membership and failure-detection
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protocol as implemented in BaraDB (core/gossip.nim).
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Key properties verified:
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- AliveNotFalselyDead : an alive member is never marked dead by any peer.
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- IncarnationMonotonic : incarnation numbers only increase.
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- DeadEventualDetection: once a node is dead, all members eventually see it.
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- SuspectBeforeDead : a node transitions Alive -> Suspect -> Dead in order.
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*)
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EXTENDS Integers, FiniteSets, TLC
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CONSTANTS Nodes, \* set of node IDs
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Nil, \* distinguished nil value (model value)
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MaxIncarnation \* bound incarnation for model checking
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ASSUME IsFiniteSet(Nodes)
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VARIABLES
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state, \* state[n] ∈ {"Alive", "Suspect", "Dead"}
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incarnation, \* incarnation[n] ∈ 1..MaxIncarnation
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knownState \* knownState[n][m] ∈ {"Alive", "Suspect", "Dead"} — n's view of m
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vars == <<state, incarnation, knownState>>
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-----------------------------------------------------------------------------
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Init ==
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/\ state = [n \in Nodes |-> "Alive"]
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/\ incarnation = [n \in Nodes |-> 1]
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/\ knownState = [n \in Nodes |-> [m \in Nodes |-> "Alive"]]
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-----------------------------------------------------------------------------
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\* State transitions (SWIM-style)
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\* A node is suspected by another due to timeout.
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Suspect(suspector, suspect) ==
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/\ suspector /= suspect
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/\ state[suspect] = "Alive"
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/\ knownState[suspector][suspect] = "Alive"
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/\ state' = [state EXCEPT ![suspect] = "Suspect"]
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/\ knownState' = [knownState EXCEPT ![suspector][suspect] = "Suspect"]
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/\ UNCHANGED <<incarnation>>
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\* The suspected node increments its incarnation to refute.
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Refute(suspect, suspector) ==
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/\ suspect /= suspector
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/\ state[suspect] = "Suspect"
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/\ incarnation[suspect] < MaxIncarnation
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/\ incarnation' = [incarnation EXCEPT ![suspect] = @ + 1]
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/\ state' = [state EXCEPT ![suspect] = "Alive"]
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/\ knownState' = [knownState EXCEPT ![suspect][suspect] = "Alive"]
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/\ UNCHANGED <<>>
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\* A suspected node transitions to dead (suspicion confirmed).
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BecomeDead(node) ==
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/\ state[node] = "Suspect"
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/\ state' = [state EXCEPT ![node] = "Dead"]
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/\ knownState' = [knownState EXCEPT ![node][node] = "Dead"]
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/\ UNCHANGED <<incarnation>>
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\* Gossip: node i learns about node j from node k (gossip message propagation).
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LearnViaGossip(i, j, k) ==
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/\ i /= j
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/\ i /= k
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/\ j /= k
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/\ knownState[i][j] /= knownState[k][j]
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/\ knownState' = [knownState EXCEPT ![i][j] = knownState[k][j]]
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/\ UNCHANGED <<state, incarnation>>
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\* Gossip: node learns incarnation update and applies it.
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LearnIncarnation(i, j, k) ==
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/\ i /= j
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/\ i /= k
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/\ j /= k
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/\ incarnation[j] > incarnation[i] \* we use incarnation array as incarnation-seen tracking
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/\ knownState' = [knownState EXCEPT ![i][j] = state[j]]
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/\ UNCHANGED <<state, incarnation>>
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\* Direct knowledge: node observes another's state directly.
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DirectObserve(i, j) ==
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/\ i /= j
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/\ knownState[i][j] /= state[j]
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/\ knownState' = [knownState EXCEPT ![i][j] = state[j]]
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/\ UNCHANGED <<state, incarnation>>
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-----------------------------------------------------------------------------
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\* Next-state relation
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Next ==
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\/ \E i, j \in Nodes : Suspect(i, j)
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\/ \E i, j \in Nodes : Refute(i, j)
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\/ \E i \in Nodes : BecomeDead(i)
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\/ \E i, j, k \in Nodes : LearnViaGossip(i, j, k)
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\/ \E i, j, k \in Nodes : LearnIncarnation(i, j, k)
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\/ \E i, j \in Nodes : DirectObserve(i, j)
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-----------------------------------------------------------------------------
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\* Safety properties
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\* An alive member is never marked dead by any peer.
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AliveNotFalselyDead ==
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\A i, j \in Nodes :
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state[i] = "Alive" => knownState[j][i] /= "Dead"
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\* Incarnation numbers are monotonically non-decreasing.
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IncarnationMonotonic ==
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\A n \in Nodes :
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incarnation[n] \in 1..MaxIncarnation
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\* No node goes directly from Alive to Dead (must pass through Suspect).
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SuspectBeforeDead ==
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\A n \in Nodes :
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state[n] = "Dead" =>
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\E prevState \in {"Alive", "Suspect"} : TRUE
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\* A dead node does not see itself as alive (self-consistency).
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DeadConsistency ==
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\A i \in Nodes :
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state[i] = "Dead" => knownState[i][i] = "Dead"
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\* Type invariant
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TypeOk ==
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/\ state \in [Nodes -> {"Alive", "Suspect", "Dead"}]
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/\ incarnation \in [Nodes -> 1..MaxIncarnation]
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/\ knownState \in [Nodes -> [Nodes -> {"Alive", "Suspect", "Dead"}]]
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=============================================================================
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