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agda-spa/lean/Spa/Lattice/Bool.lean
Danila Fedorin 94278a6389 Add computational reaching-definitions analysis
Introduce a finite-height lattice instance for Bool, then build the
reaching-definitions analysis on top of the forward framework:

* Spa/Lattice/Bool.lean: FiniteHeightLattice Bool (the two-element
  lattice false ≤ true), making FiniteMap A Bool ks a finite-height
  "power set" lattice for free.
* Spa/Analysis/Reaching.lean: DefSet prog = FiniteMap prog.State Bool
  prog.states as the per-variable lattice of definition sites, with a
  StmtEvaluator whose transfer function performs a strong update
  (assignment to k at node s sets k's def-set to {s}).

The analysis computes a least fixed point and produces correct
reaching-definitions sets. Soundness (relating def-sets to actual
execution provenance) is deferred; not yet exposed in Spa.lean.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-25 09:12:11 -05:00

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import Spa.Lattice
import Mathlib.Order.BooleanAlgebra
namespace Spa
/-! ### `Bool` as a finite-height lattice
`Bool` is the two-element lattice `false ≤ true` (with `⊥ = false`, ` = true`).
It is the building block of the "power set" lattice `FiniteMap A Bool ks`, used by
the reaching-definitions analysis to represent sets of definition sites. -/
namespace Bool
/-- Rank of a boolean: `false ↦ 0`, `true ↦ 1`. Used to bound chains, mirroring
`AboveBelow.rank`. -/
def rank : Bool
| false => 0
| true => 1
theorem rank_strictMono : StrictMono rank := by
intro a b hab
cases a <;> cases b <;> revert hab <;> decide
theorem boundedChains : BoundedChains Bool 1 := fun c => by
have h := LTSeries.head_add_length_le_nat (c.map rank rank_strictMono)
rw [LTSeries.head_map, LTSeries.last_map, LTSeries.map_length] at h
have h2 : rank c.last 1 := by cases c.last <;> simp [rank]
omega
instance : FiniteHeightLattice Bool where
height := 1
longestChain :=
{ series := (RelSeries.singleton _ ( : Bool)).snoc ( : Bool)
(by rw [RelSeries.last_singleton]; exact bot_lt_top)
head_series := by simp
last_series := by simp
length_series := by simp [RelSeries.snoc, RelSeries.append] }
chains_bounded := boundedChains
end Bool
end Spa