Node IDs #
Equations
- Aesop.instInhabitedGoalId = { default := { toNat := default } }
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- Aesop.GoalId.dummy = { toNat := 1000000000000000 }
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- Aesop.GoalId.instLT = { lt := fun (n m : Aesop.GoalId) => n.toNat < m.toNat }
Equations
- n.instDecidableRelLt m = inferInstanceAs (Decidable (n.toNat < m.toNat))
Equations
- Aesop.GoalId.instToString = { toString := fun (n : Aesop.GoalId) => toString n.toNat }
Equations
- Aesop.GoalId.instHashable = { hash := fun (n : Aesop.GoalId) => hash n.toNat }
Rule Application IDs #
Equations
- Aesop.instInhabitedRappId = { default := { toNat := default } }
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Equations
- Aesop.RappId.dummy = { toNat := 1000000000000000 }
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Equations
- Aesop.RappId.instLT = { lt := fun (n m : Aesop.RappId) => n.toNat < m.toNat }
Equations
- n.instDecidableRelLt m = inferInstanceAs (Decidable (n.toNat < m.toNat))
Equations
- Aesop.RappId.instToString = { toString := fun (n : Aesop.RappId) => toString n.toNat }
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- Aesop.RappId.instHashable = { hash := fun (n : Aesop.RappId) => hash n.toNat }
Iterations #
@[inline]
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- Aesop.Iteration.instDecidableRelLt = inferInstanceAs (DecidableRel fun (x x_1 : Nat) => x < x_1)
Equations
- Aesop.Iteration.instDecidableRelLe = inferInstanceAs (DecidableRel fun (x x_1 : Nat) => x ≤ x_1)
The Tree #
At each point during the search, every node of the tree (goal, rapp or mvar cluster) is in one of these states:
proven: the node is proven.unprovable: the node is unprovable, i.e. it will never be proven regardless of any future expansions that might be performed.unknown: neither of the above.
Every node starts in the unknown state and may later become either proven or
unprovable. After this, the state does not change any more.
- unknown: Aesop.NodeState
- proven: Aesop.NodeState
- unprovable: Aesop.NodeState
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Equations
- Aesop.instInhabitedNodeState = { default := Aesop.NodeState.unknown }
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- Aesop.instBEqNodeState = { beq := Aesop.beqNodeState✝ }
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- x.isUnknown = match x with | Aesop.NodeState.unknown => true | x => false
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- x.isProven = match x with | Aesop.NodeState.proven => true | x => false
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- x.isUnprovable = match x with | Aesop.NodeState.unprovable => true | x => false
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- x.isIrrelevant = match x with | Aesop.NodeState.proven => true | Aesop.NodeState.unprovable => true | Aesop.NodeState.unknown => false
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Equations
- x.toEmoji = match x with | Aesop.NodeState.proven => Aesop.nodeProvedEmoji | Aesop.NodeState.unprovable => Aesop.nodeUnprovableEmoji | Aesop.NodeState.unknown => Aesop.nodeUnknownEmoji
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A refinement of the NodeState, distinguishing between goals proven during
normalisation and goals proven by a child rule application.
- unknown: Aesop.GoalState
- provenByRuleApplication: Aesop.GoalState
- provenByNormalization: Aesop.GoalState
- unprovable: Aesop.GoalState
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Equations
- Aesop.instInhabitedGoalState = { default := Aesop.GoalState.unknown }
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- Aesop.instBEqGoalState = { beq := Aesop.beqGoalState✝ }
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- x.isProvenByRuleApplication = match x with | Aesop.GoalState.provenByRuleApplication => true | x => false
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- x.isProvenByNormalization = match x with | Aesop.GoalState.provenByNormalization => true | x => false
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- x.isProven = match x with | Aesop.GoalState.provenByRuleApplication => true | Aesop.GoalState.provenByNormalization => true | x => false
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- x.isUnprovable = match x with | Aesop.GoalState.unprovable => true | x => false
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- x.isUnknown = match x with | Aesop.GoalState.unknown => true | x => false
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- s.isIrrelevant = s.toNodeState.isIrrelevant
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- notNormal: Aesop.NormalizationState
- normal: Lean.MVarId → Lean.Meta.SavedState → Array (Aesop.DisplayRuleName × Option (Array Aesop.Script.LazyStep)) → Aesop.NormalizationState
- provenByNormalization: Lean.Meta.SavedState → Array (Aesop.DisplayRuleName × Option (Array Aesop.Script.LazyStep)) → Aesop.NormalizationState
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A goal G can be added to the tree for three reasons:
Gwas produced by its parent rule as a subgoal. This is the most common reason.Gwas copied because it contains some metavariables which were assigned by its parent rule. In this case, we record goal of whichGis a copy. We also record the representative of the equivalence class of goals which are copies of each other. E.g. if goal1is copied to goal2and goal2is copied to goal3, they are all part of the equivalence class with representative1.
- subgoal: Aesop.GoalOrigin
- copied: Aesop.GoalId → Aesop.GoalId → Aesop.GoalOrigin
- droppedMVar: Aesop.GoalOrigin
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Equations
- Aesop.instInhabitedGoalOrigin = { default := Aesop.GoalOrigin.subgoal }
Equations
- x.originalGoalId? = match x with | Aesop.GoalOrigin.copied from rep => some rep | x => none
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- id : Aesop.GoalId
- parent : IO.Ref MVarCluster
- origin : Aesop.GoalOrigin
- depth : Nat
- state : Aesop.GoalState
- isIrrelevant : Bool
- isForcedUnprovable : Bool
- preNormGoal : Lean.MVarId
- normalizationState : Aesop.NormalizationState
- mvars : Aesop.UnorderedArraySet Lean.MVarId
- successProbability : Aesop.Percent
- addedInIteration : Aesop.Iteration
- lastExpandedInIteration : Aesop.Iteration
- unsafeRulesSelected : Bool
- unsafeQueue : Aesop.UnsafeQueue
- failedRapps : Array Aesop.RegularRule
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instance
Aesop.instNonemptyGoalData :
∀ {Rapp MVarCluster : Type} [inst : Nonempty MVarCluster], Nonempty (Aesop.GoalData Rapp MVarCluster)
Equations
- ⋯ = ⋯
instance
Aesop.instInhabitedMVarClusterData :
{a a_1 : Type} → Inhabited (Aesop.MVarClusterData a a_1)
Equations
- Aesop.instInhabitedMVarClusterData = { default := { parent? := default, goals := default, isIrrelevant := default, state := default } }
- id : Aesop.RappId
- parent : IO.Ref Goal
- state : Aesop.NodeState
- isIrrelevant : Bool
- appliedRule : Aesop.RegularRule
- scriptSteps? : Option (Array Aesop.Script.LazyStep)
- originalSubgoals : Array Lean.MVarId
- successProbability : Aesop.Percent
- metaState : Lean.Meta.SavedState
- introducedMVars : Aesop.UnorderedArraySet Lean.MVarId
- assignedMVars : Aesop.UnorderedArraySet Lean.MVarId
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instance
Aesop.instNonemptyRappData :
∀ {Goal : Type} [inst : Nonempty Goal] {MVarCluster : Type}, Nonempty (Aesop.RappData Goal MVarCluster)
Equations
- ⋯ = ⋯
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- Goal : Type
- Rapp : Type
- MVarCluster : Type
- introGoal : Aesop.GoalData self.Rapp self.MVarCluster → self.Goal
- elimGoal : self.Goal → Aesop.GoalData self.Rapp self.MVarCluster
- introRapp : Aesop.RappData self.Goal self.MVarCluster → self.Rapp
- elimRapp : self.Rapp → Aesop.RappData self.Goal self.MVarCluster
- introMVarCluster : Aesop.MVarClusterData self.Goal self.Rapp → self.MVarCluster
- elimMVarCluster : self.MVarCluster → Aesop.MVarClusterData self.Goal self.Rapp
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@[reducible, inline]
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@[inline]
def
Aesop.MVarCluster.modify
(f : Aesop.MVarClusterData Aesop.Goal Aesop.Rapp → Aesop.MVarClusterData Aesop.Goal Aesop.Rapp)
(c : Aesop.MVarCluster)
:
Equations
- Aesop.MVarCluster.modify f c = Aesop.MVarCluster.mk (f c.elim)
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@[inline]
def
Aesop.Goal.modify
(f : Aesop.GoalData Aesop.Rapp Aesop.MVarCluster → Aesop.GoalData Aesop.Rapp Aesop.MVarCluster)
(g : Aesop.Goal)
:
Equations
- Aesop.Goal.modify f g = Aesop.Goal.mk (f g.elim)
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def
Aesop.Goal.setNormalizationState
(normalizationState : Aesop.NormalizationState)
(g : Aesop.Goal)
:
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@[inline]
def
Aesop.Goal.setLastExpandedInIteration
(lastExpandedInIteration : Aesop.Iteration)
(g : Aesop.Goal)
:
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- Aesop.Goal.instBEq = { beq := fun (g₁ g₂ : Aesop.Goal) => g₁.id == g₂.id }
Equations
- Aesop.Goal.instHashable = { hash := fun (g : Aesop.Goal) => hash g.id }
@[inline]
def
Aesop.Rapp.modify
(f : Aesop.RappData Aesop.Goal Aesop.MVarCluster → Aesop.RappData Aesop.Goal Aesop.MVarCluster)
(r : Aesop.Rapp)
:
Equations
- Aesop.Rapp.modify f r = Aesop.Rapp.mk (f r.elim)
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def
Aesop.Rapp.setScriptSteps?
(scriptSteps? : Option (Array Aesop.Script.LazyStep))
(r : Aesop.Rapp)
:
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def
Aesop.Rapp.setIntroducedMVars
(introducedMVars : Aesop.UnorderedArraySet Lean.MVarId)
(r : Aesop.Rapp)
:
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@[inline]
def
Aesop.Rapp.setAssignedMVars
(assignedMVars : Aesop.UnorderedArraySet Lean.MVarId)
(r : Aesop.Rapp)
:
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- Aesop.Rapp.instBEq = { beq := fun (r₁ r₂ : Aesop.Rapp) => r₁.id == r₂.id }
Equations
- Aesop.Rapp.instHashable = { hash := fun (r : Aesop.Rapp) => hash r.id }
Miscellaneous Queries #
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@[inline]
Equations
- g.postNormGoalAndMetaState? = match g.normalizationState with | Aesop.NormalizationState.normal postGoal postState script => some (postGoal, postState) | x => none
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Equations
- g.postNormGoal? = Option.map (fun (x : Lean.MVarId × Lean.Meta.SavedState) => x.fst) g.postNormGoalAndMetaState?
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Equations
- g.currentGoal = g.postNormGoal?.getD g.preNormGoal
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Equations
- g.parentRapp? = do let __do_lift ← ST.Ref.get g.parent pure __do_lift.parent?
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- g.safeRapps = Array.filterM (fun (rref : Aesop.RappRef) => do let __do_lift ← ST.Ref.get rref pure __do_lift.isSafe) g.children 0
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Equations
- g.hasSafeRapp = Array.anyM (fun (rref : Aesop.RappRef) => do let __do_lift ← ST.Ref.get rref pure __do_lift.isSafe) g.children 0
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Equations
- g.isUnsafeExhausted = (g.unsafeRulesSelected && Subarray.isEmpty g.unsafeQueue)
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Equations
- g.hasProvableRapp = Array.anyM (fun (r : Aesop.RappRef) => do let __do_lift ← ST.Ref.get r pure !__do_lift.state.isUnprovable) g.children 0
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Equations
- g.firstProvenRapp? = g.children.findSomeM? fun (rref : Aesop.RappRef) => do let __do_lift ← ST.Ref.get rref pure (if __do_lift.state.isProven = true then some rref else none)
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Equations
- g.priority = g.successProbability * Aesop.unificationGoalPenalty ^ g.mvars.size
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Equations
- g.isNormal = g.normalizationState.isNormal
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Equations
- g.originalGoalId = g.origin.originalGoalId?.getD g.id
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Equations
- r.parentPostNormMetaState rootMetaState = do let __do_lift ← ST.Ref.get r.parent __do_lift.parentMetaState rootMetaState
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def
Aesop.Rapp.foldSubgoalsM
{m : Type → Type}
{σ : Type}
[Monad m]
[MonadLiftT (ST IO.RealWorld) m]
(init : σ)
(f : σ → Aesop.GoalRef → m σ)
(r : Aesop.Rapp)
:
m σ
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def
Aesop.Rapp.forSubgoalsM
{m : Type → Type}
[Monad m]
[MonadLiftT (ST IO.RealWorld) m]
(f : Aesop.GoalRef → m Unit)
(r : Aesop.Rapp)
:
m Unit
Equations
- Aesop.Rapp.forSubgoalsM f r = Array.forM (fun (cref : Aesop.MVarClusterRef) => do let __do_lift ← ST.Ref.get cref Array.forM f __do_lift.goals 0) r.children 0
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def
Aesop.Rapp.subgoals
{m : Type → Type}
[Monad m]
[MonadLiftT (ST IO.RealWorld) m]
(r : Aesop.Rapp)
:
m (Array Aesop.GoalRef)
Equations
- r.subgoals = Aesop.Rapp.foldSubgoalsM #[] (fun (subgoals : Array Aesop.GoalRef) (gref : Aesop.GoalRef) => pure (subgoals.push gref)) r
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Equations
- r.depth = do let __do_lift ← ST.Ref.get r.parent pure __do_lift.depth
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Equations
- c.provenGoal? = c.goals.findM? fun (gref : Aesop.GoalRef) => do let __do_lift ← ST.Ref.get gref pure __do_lift.state.isProven