Node IDs #
Equations
- Aesop.instInhabitedGoalId = { default := { toNat := default } }
Equations
- Aesop.GoalId.succ x = match x with | { toNat := n } => { toNat := n + 1 }
Instances For
Equations
- Aesop.GoalId.dummy = { toNat := 1000000000000000 }
Instances For
Equations
- Aesop.GoalId.instLTGoalId = { lt := fun (n m : Aesop.GoalId) => n.toNat < m.toNat }
instance
Aesop.GoalId.instDecidableRelGoalIdLtInstLTGoalId :
DecidableRel fun (x x_1 : Aesop.GoalId) => x < x_1
Equations
- Aesop.GoalId.instDecidableRelGoalIdLtInstLTGoalId n m = inferInstanceAs (Decidable (n.toNat < m.toNat))
Equations
- Aesop.GoalId.instToStringGoalId = { toString := fun (n : Aesop.GoalId) => toString n.toNat }
Equations
- Aesop.GoalId.instHashableGoalId = { hash := fun (n : Aesop.GoalId) => hash n.toNat }
Rule Application IDs #
Equations
- Aesop.instInhabitedRappId = { default := { toNat := default } }
Equations
- Aesop.RappId.succ x = match x with | { toNat := n } => { toNat := n + 1 }
Instances For
Equations
- Aesop.RappId.dummy = { toNat := 1000000000000000 }
Instances For
Equations
- Aesop.RappId.instLTRappId = { lt := fun (n m : Aesop.RappId) => n.toNat < m.toNat }
instance
Aesop.RappId.instDecidableRelRappIdLtInstLTRappId :
DecidableRel fun (x x_1 : Aesop.RappId) => x < x_1
Equations
- Aesop.RappId.instDecidableRelRappIdLtInstLTRappId n m = inferInstanceAs (Decidable (n.toNat < m.toNat))
Equations
- Aesop.RappId.instToStringRappId = { toString := fun (n : Aesop.RappId) => toString n.toNat }
Equations
- Aesop.RappId.instHashableRappId = { hash := fun (n : Aesop.RappId) => hash n.toNat }
Iterations #
@[inline]
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@[inline]
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instance
Aesop.Iteration.instDecidableRelIterationLtInstLTIteration :
DecidableRel fun (x x_1 : Aesop.Iteration) => x < x_1
Equations
- Aesop.Iteration.instDecidableRelIterationLtInstLTIteration = inferInstanceAs (DecidableRel fun (x x_1 : Nat) => x < x_1)
instance
Aesop.Iteration.instDecidableRelIterationLeInstLEIteration :
DecidableRel fun (x x_1 : Aesop.Iteration) => x ≤ x_1
Equations
- Aesop.Iteration.instDecidableRelIterationLeInstLEIteration = 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
Instances For
Equations
- Aesop.instInhabitedNodeState = { default := Aesop.NodeState.unknown }
Equations
- Aesop.instBEqNodeState = { beq := Aesop.beqNodeState✝ }
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Equations
- Aesop.NodeState.isUnknown x = match x with | Aesop.NodeState.unknown => true | x => false
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Equations
- Aesop.NodeState.isProven x = match x with | Aesop.NodeState.proven => true | x => false
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Equations
- Aesop.NodeState.isUnprovable x = match x with | Aesop.NodeState.unprovable => true | x => false
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Equations
- Aesop.NodeState.isIrrelevant x = match x with | Aesop.NodeState.proven => true | Aesop.NodeState.unprovable => true | Aesop.NodeState.unknown => false
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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
Instances For
Equations
- Aesop.instInhabitedGoalState = { default := Aesop.GoalState.unknown }
Equations
- Aesop.instBEqGoalState = { beq := Aesop.beqGoalState✝ }
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- Aesop.GoalState.isProvenByRuleApplication x = match x with | Aesop.GoalState.provenByRuleApplication => true | x => false
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Equations
- Aesop.GoalState.isProvenByNormalization x = match x with | Aesop.GoalState.provenByNormalization => true | x => false
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Equations
- Aesop.GoalState.isProven x = match x with | Aesop.GoalState.provenByRuleApplication => true | Aesop.GoalState.provenByNormalization => true | x => false
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Equations
- Aesop.GoalState.isUnprovable x = match x with | Aesop.GoalState.unprovable => true | x => false
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Equations
- Aesop.GoalState.isUnknown x = match x with | Aesop.GoalState.unknown => true | x => false
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- notNormal: Aesop.NormalizationState
- normal: Lean.MVarId → Lean.Meta.SavedState → Except Aesop.DisplayRuleName Aesop.UnstructuredScript → Aesop.NormalizationState
- provenByNormalization: Lean.Meta.SavedState → Except Aesop.DisplayRuleName Aesop.UnstructuredScript → Aesop.NormalizationState
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A goal G
can be added to the tree for three reasons:
G
was produced by its parent rule as a subgoal. This is the most common reason.G
was copied because it contains some metavariables which were assigned by its parent rule. In this case, we record goal of whichG
is a copy. We also record the representative of the equivalence class of goals which are copies of each other. E.g. if goal1
is copied to goal2
and goal2
is 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
Instances For
Equations
- Aesop.instInhabitedGoalOrigin = { default := Aesop.GoalOrigin.subgoal }
Equations
- Aesop.GoalOrigin.originalGoalId? x = 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
Instances For
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
- scriptBuilder? : Option Aesop.RuleTacScriptBuilder
- originalSubgoals : Array Lean.MVarId
- successProbability : Aesop.Percent
- metaState : Lean.Meta.SavedState
- introducedMVars : Aesop.UnorderedArraySet Lean.MVarId
- assignedMVars : Aesop.UnorderedArraySet Lean.MVarId
Instances For
instance
Aesop.instNonemptyRappData :
∀ {Goal : Type} [inst : Nonempty Goal] {MVarCluster : Type}, Nonempty (Aesop.RappData Goal MVarCluster)
Equations
- ⋯ = ⋯
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Instances For
- 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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@[inline]
def
Aesop.MVarCluster.modify
(f : Aesop.MVarClusterData Aesop.Goal Aesop.Rapp → Aesop.MVarClusterData Aesop.Goal Aesop.Rapp)
(c : Aesop.MVarCluster)
:
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- Aesop.MVarCluster.isIrrelevant c = (Aesop.MVarCluster.elim c).isIrrelevant
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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 (Aesop.Goal.elim g))
Instances For
@[inline]
Equations
- Aesop.Goal.isForcedUnprovable g = (Aesop.Goal.elim g).isForcedUnprovable
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@[inline]
Equations
- Aesop.Goal.normalizationState g = (Aesop.Goal.elim g).normalizationState
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- Aesop.Goal.successProbability g = (Aesop.Goal.elim g).successProbability
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- Aesop.Goal.addedInIteration g = (Aesop.Goal.elim g).addedInIteration
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Equations
- Aesop.Goal.lastExpandedInIteration g = (Aesop.Goal.elim g).lastExpandedInIteration
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@[inline]
Equations
- Aesop.Goal.unsafeRulesSelected g = (Aesop.Goal.elim g).unsafeRulesSelected
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@[inline]
Equations
- Aesop.Goal.unsafeQueue? g = if Aesop.Goal.unsafeRulesSelected g = true then some (Aesop.Goal.unsafeQueue g) else none
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@[inline]
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.instBEqGoal = { beq := fun (g₁ g₂ : Aesop.Goal) => Aesop.Goal.id g₁ == Aesop.Goal.id g₂ }
Equations
- Aesop.Goal.instHashableGoal = { hash := fun (g : Aesop.Goal) => hash (Aesop.Goal.id g) }
@[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 (Aesop.Rapp.elim r))
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@[inline]
Equations
- Aesop.Rapp.originalSubgoals r = (Aesop.Rapp.elim r).originalSubgoals
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- Aesop.Rapp.successProbability r = (Aesop.Rapp.elim r).successProbability
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@[inline]
def
Aesop.Rapp.setScriptBuilder?
(scriptBuilder? : Option Aesop.RuleTacScriptBuilder)
(r : Aesop.Rapp)
:
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@[inline]
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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Equations
Equations
- Aesop.Rapp.instBEqRapp = { beq := fun (r₁ r₂ : Aesop.Rapp) => Aesop.Rapp.id r₁ == Aesop.Rapp.id r₂ }
Equations
- Aesop.Rapp.instHashableRapp = { hash := fun (r : Aesop.Rapp) => hash (Aesop.Rapp.id r) }
Miscellaneous Queries #
@[inline]
Equations
- Aesop.Goal.postNormGoalAndMetaState? g = match Aesop.Goal.normalizationState g with | Aesop.NormalizationState.normal postGoal postState script? => some (postGoal, postState) | x => none
Instances For
Equations
- Aesop.Goal.postNormGoal? g = Option.map (fun (x : Lean.MVarId × Lean.Meta.SavedState) => x.fst) (Aesop.Goal.postNormGoalAndMetaState? g)
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Equations
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Equations
- Aesop.Goal.parentRapp? g = do let __do_lift ← ST.Ref.get (Aesop.Goal.parent g) pure (Aesop.MVarCluster.parent? __do_lift)
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- Aesop.Goal.isActive g = do let __do_lift ← pure (Aesop.Goal.isIrrelevant g) <||> Aesop.Goal.isExhausted g pure !__do_lift
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- Aesop.Goal.isRoot g = do let __do_lift ← Aesop.Goal.parentRapp? g pure (Option.isNone __do_lift)
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Equations
- Aesop.Rapp.parentPostNormMetaState r rootMetaState = do let __do_lift ← ST.Ref.get (Aesop.Rapp.parent r) Aesop.Goal.parentMetaState __do_lift 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
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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
- Aesop.Rapp.subgoals r = Aesop.Rapp.foldSubgoalsM #[] (fun (subgoals : Array Aesop.GoalRef) (gref : Aesop.GoalRef) => pure (Array.push subgoals gref)) r
Instances For
Equations
- Aesop.Rapp.depth r = do let __do_lift ← ST.Ref.get (Aesop.Rapp.parent r) pure (Aesop.Goal.depth __do_lift)
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