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agda-spa/lean/Spa/Analysis/Reaching.lean
Danila Fedorin 8cd053a242 Migrate Reaching.lean to projections via a generic Trace.steps
Finish the projection migration for reaching definitions by replacing the
accumulator-style runOfTrace*From definitions and their hand-rolled
re-association lemmas with a single analysis-agnostic projection:
Trace.steps / Traceₗ.steps, the chronological List of executed
(index, statement) pairs. Its four simp lemmas are one-line inductions,
with all re-association falling out of mathlib's List.append_assoc and
List.reverse_append.

Run is now an abbrev for List (State × BasicStmt) (latest-first, so
LastAssign keeps its first-match structure) and runOfTrace is just
steps.reverse.

Also hoist the generic reaches_final_post into Forward.lean, letting
analyze_correct' be stated directly about S.Post (prog.trace hrun).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-02 09:01:09 -05:00

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import Spa.Analysis.Forward
import Spa.Lattice.Finset
import Spa.Language.Tagged.Graphs
import Spa.Showable
namespace Spa
open Forward
instance {n : } : Showable (Finset (Fin n)) :=
fun s =>
"{" ++ (List.finRange n).foldr
(fun i rest => if i s then show' i ++ ", " ++ rest else rest) ""
++ "}"
abbrev DefSet (prog : Program) : Type := Finset prog.NodeId
namespace ReachingAnalysis
variable (prog : Program)
def genSet (s : prog.State) : DefSet prog := (prog.nodeIdOf s).elim {} (fun x => {x})
def eval (s : prog.State) (vs : VariableValues (DefSet prog) prog) : VariableValues (DefSet prog) prog :=
match prog.code s with
| none => vs
| some bs =>
match bs with
| .assign k _ => FiniteMap.generalizedUpdate id (fun _ _ => genSet prog s) [k] vs
| .noop => vs
lemma eval_mono (s : prog.State) :
Monotone (eval prog s) := by
intros vs₁ vs₂ hle
unfold eval; split <;> try simpa
split <;> try simpa
apply FiniteMap.generalizedUpdate_monotone monotone_id (fun _ => monotone_const)
assumption
instance stmtEvaluator : StmtEvaluator (DefSet prog) prog :=
eval prog, eval_mono prog
def output : String :=
show' (result (DefSet prog) prog)
/-- The statements a trace executed, paired with the state each executed at,
most recent first (matching `LastAssign`, which scans for the most recent
assignment). This is `Trace.steps` (chronological) reversed, so facts about
concatenating traces reduce to mathlib's `List.append`/`List.reverse` lemmas. -/
abbrev Run (prog : Program) : Type := List (prog.State × BasicStmt)
@[aesop unsafe cases]
inductive LastAssign (prog : Program) (x : String) : Run prog prog.NodeId Prop
| here (s : prog.State) (e : Expr) (hc : prog.code s = some (.assign x e))
(rest : Run prog) :
LastAssign prog x ((s, .assign x e) :: rest) (prog.nodeIdOfNonempty s hc)
| there (s : prog.State) (bs : BasicStmt) (hc : prog.code s = some bs)
(rest : Run prog) {n : prog.NodeId} :
( e, bs .assign x e) LastAssign prog x rest n
LastAssign prog x ((s, bs) :: rest) n
def runOfTraceₗ {s₁ s₂ : prog.State} {ρ₁ ρ₂ : Env}
(tr : Traceₗ prog.cfg s₁ s₂ ρ₁ ρ₂) : Run prog :=
tr.steps.reverse
def runOfTrace {s₁ s₂ : prog.State} {ρ₁ ρ₂ : Env}
(tr : Trace prog.cfg s₁ s₂ ρ₁ ρ₂) : Run prog :=
tr.steps.reverse
instance stateInterp : StateInterpretation (DefSet prog) prog where
Proj := Run prog
Pre := @runOfTraceₗ prog
Post := @runOfTrace prog
interp vs run := (x : String) (assigners : DefSet prog), (x, assigners) vs
(n : prog.NodeId), LastAssign prog x run n n assigners
interp_sup := by
intro vs₁ vs₂ run h x assigners hmem n hla
obtain a₁, a₂, rfl, h₁, h₂ := FiniteMap.mem_sup hmem
aesop (add simp Finset.mem_union)
interp_inf := by
intro vs₁ vs₂ run h x assigners hmem n hla
obtain a₁, a₂, rfl, h₁, h₂ := FiniteMap.mem_inf hmem
aesop (add simp Finset.mem_inter)
post_pre := by
intro vs s₁ s₂ s₃ ρ₁ ρ₂ tr hedge hvs
simpa [runOfTrace, runOfTraceₗ] using hvs
private lemma valid_step (s : prog.State) {ρ₁ ρ₂ : Env}
{obs : Option BasicStmt} (hcode : prog.code s = obs)
(hbs : EvalBasicStmtOpt ρ₁ obs ρ₂)
{vs : VariableValues (DefSet prog) prog} {run : Run prog}
(hvs : vs run) :
eval prog s vs ((hbs.steps s).reverse ++ run) := by
cases hbs with
| none => simpa [eval, hcode, EvalBasicStmtOpt.steps] using hvs
| some hbs =>
cases hbs with
| noop =>
simp [eval, hcode, EvalBasicStmtOpt.steps]
intro x assigners hmem n hla; aesop
| assign x e v hev =>
simp [eval, hcode, EvalBasicStmtOpt.steps]; intro k assigners hmem n hla
by_cases hx : k = x
· subst hx
have hd := FiniteMap.generalizedUpdate_mem_eq (List.mem_singleton.mpr rfl) hmem
rcases hla
<;> simp [Program.nodeIdOfNonempty, hd, genSet, Option.get] <;> aesop
· have hmem' := FiniteMap.generalizedUpdate_not_mem_backward
(fun hc => hx (List.mem_singleton.mp hc)) hmem
aesop
instance validStateEvaluator : ValidStateEvaluator (DefSet prog) prog where
valid := by
intro s₁ s₂ ρ₁ ρ₂ ρ₃ vs tr hbs hvs
show eval prog s₂ vs (runOfTrace prog (tr ++ hbs))
simpa [runOfTrace, runOfTraceₗ] using valid_step prog s₂ rfl hbs hvs
botV_init := by intro x assigners _ n hla; cases hla
theorem analyze_correct {ρ : Env} (hrun : EvalStmt [] prog.rootStmt ρ) :
variablesAt prog.finalState (result (DefSet prog) prog)
(runOfTrace prog (prog.trace hrun)) :=
Forward.analyze_correct' (DefSet prog) prog hrun
theorem analyze_correct_at {ρf : Env} (hrun : EvalStmt [] prog.rootStmt ρf)
{s : prog.State} {ρin ρout : Env}
(hr : Reaches (prog.trace hrun) s ρin ρout) :
joinForKey s (result (DefSet prog) prog) (runOfTraceₗ prog hr.pre)
variablesAt s (result (DefSet prog) prog) (runOfTrace prog hr.post) :=
Forward.analyze_correct_at (DefSet prog) prog hrun hr
end ReachingAnalysis
end Spa