Start formalizing monotonic function predicates

Signed-off-by: Danila Fedorin <danila.fedorin@gmail.com>
This commit is contained in:
Danila Fedorin 2024-04-12 23:49:33 -07:00
parent 71cb97ad8c
commit ce3fa182fe
1 changed files with 44 additions and 0 deletions

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@ -209,9 +209,16 @@ module Graphs where
rewrite cast-is-id refl (Graph.nodes g₂)
with refl ← nsg₂≡nsg₁++newNodes = sym (lookup-++ˡ (Graph.nodes g₁) _ _)
-- Tools for graph construction. The most important is a 'monotonic function':
-- one that takes a graph, and produces another graph, such that the
-- new graph includes all the information from the old one.
MonotonicGraphFunction : (Graph → Set) → Set
MonotonicGraphFunction T = (g₁ : Graph) → Σ Graph (λ g₂ → T g₂ × g₁ ⊆ g₂)
-- Now, define some operations on monotonic functions; these are useful
-- to save the work of threading intermediate graphs in and out of operations.
infixr 2 _⟨⊗⟩_
_⟨⊗⟩_ : ∀ {T₁ T₂ : Graph → Set} {{ T₁Relaxable : Relaxable T₁ }} →
MonotonicGraphFunction T₁ → MonotonicGraphFunction T₂ →
@ -236,6 +243,43 @@ module Graphs where
MonotonicGraphFunction T₂
_map_ f fn g = let (g' , (t₁ , g⊆g')) = f g in (g' , (fn g' t₁ , g⊆g'))
-- To reason about monotonic functions and what we do, we need a way
-- to describe values they produce. A 'graph-value predicate' is
-- just a predicate for some (dependent) value.
GraphValuePredicate : (Graph → Set) → Set₁
GraphValuePredicate T = ∀ (g : Graph) → T g → Set
Both : {T₁ T₂ : Graph → Set} → GraphValuePredicate T₁ → GraphValuePredicate T₂ →
GraphValuePredicate (T₁ ⊗ T₂)
Both P Q = (λ { g (t₁ , t₂) → (P g t₁ × Q g t₂) })
-- Since monotnic functions keep adding on to a function, proofs of
-- graph-value predicates go stale fast (they describe old values of
-- the graph). To keep propagating them through, we need them to still
-- on 'bigger graphs'. We call such predicates monotonic as well, since
-- they respect the ordering of graphs.
MonotonicPredicate : ∀ {T : Graph → Set} {{ TRelaxable : Relaxable T }} →
GraphValuePredicate T → Set
MonotonicPredicate {T} P = ∀ (g₁ g₂ : Graph) (t₁ : T g₁) (g₁⊆g₂ : g₁ ⊆ g₂) →
P g₁ t₁ → P g₂ (relax g₁⊆g₂ t₁)
-- A 'map' has a certain property if its ouputs satisfy that property
-- for all inputs.
always : ∀ {T : Graph → Set} → GraphValuePredicate T → MonotonicGraphFunction T → Set
always P m = ∀ g₁ → let (g₂ , t , _) = m g₁ in P g₂ t
⟨⊗⟩-reason : ∀ {T₁ T₂ : Graph → Set} {{ T₁Relaxable : Relaxable T₁ }}
{P : GraphValuePredicate T₁} {Q : GraphValuePredicate T₂}
{P-Mono : MonotonicPredicate P}
{m₁ : MonotonicGraphFunction T₁} {m₂ : MonotonicGraphFunction T₂} →
always P m₁ → always Q m₂ → always (Both P Q) (m₁ ⟨⊗⟩ m₂)
⟨⊗⟩-reason = {!!}
module Construction where
pushBasicBlock : List BasicStmt → MonotonicGraphFunction Graph.Index
pushBasicBlock bss g =