Extract 'monotonic state' into its own module
Signed-off-by: Danila Fedorin <danila.fedorin@gmail.com>
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@ -110,8 +110,7 @@ cast∈⇒∈subst refl refl (idx₁ , idx₂) es e∈es
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(e∈g₂⇒e∈g₃ (e∈g₁⇒e∈g₂ e∈g₁)))
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}
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record Relaxable (T : Graph → Set) : Set where
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field relax : ∀ {g₁ g₂ : Graph} → g₁ ⊆ g₂ → T g₁ → T g₂
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open import MonotonicState _⊆_ ⊆-trans renaming (MonotonicState to MonotonicGraphFunction)
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instance
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IndexRelaxable : Relaxable Graph.Index
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@ -127,17 +126,7 @@ instance
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)
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}
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ProdRelaxable : ∀ {P : Graph → Set} {Q : Graph → Set} →
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{{ PRelaxable : Relaxable P }} → {{ QRelaxable : Relaxable Q }} →
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Relaxable (P ⊗ Q)
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ProdRelaxable {{pr}} {{qr}} = record
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{ relax = (λ { g₁⊆g₂ (p , q) →
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( Relaxable.relax pr g₁⊆g₂ p
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, Relaxable.relax qr g₁⊆g₂ q) }
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)
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}
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open Relaxable {{...}} public
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open Relaxable {{...}}
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relax-preserves-[]≡ : ∀ (g₁ g₂ : Graph) (g₁⊆g₂ : g₁ ⊆ g₂) (idx : Graph.Index g₁) →
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g₁ [ idx ] ≡ g₂ [ relax g₁⊆g₂ idx ]
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@ -145,81 +134,6 @@ relax-preserves-[]≡ g₁ g₂ (Mk-⊆ n refl newNodes nsg₂≡nsg₁++newNode
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rewrite cast-is-id refl (Graph.nodes g₂)
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with refl ← nsg₂≡nsg₁++newNodes = sym (lookup-++ˡ (Graph.nodes g₁) _ _)
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-- Tools for graph construction. The most important is a 'monotonic function':
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-- one that takes a graph, and produces another graph, such that the
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-- new graph includes all the information from the old one.
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MonotonicGraphFunction : (Graph → Set) → Set
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MonotonicGraphFunction T = (g₁ : Graph) → Σ Graph (λ g₂ → T g₂ × g₁ ⊆ g₂)
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-- Now, define some operations on monotonic functions; these are useful
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-- to save the work of threading intermediate graphs in and out of operations.
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infixr 2 _⟨⊗⟩_
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_⟨⊗⟩_ : ∀ {T₁ T₂ : Graph → Set} {{ T₁Relaxable : Relaxable T₁ }} →
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MonotonicGraphFunction T₁ → MonotonicGraphFunction T₂ →
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MonotonicGraphFunction (T₁ ⊗ T₂)
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_⟨⊗⟩_ {{r}} f₁ f₂ g
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with (g' , (t₁ , g⊆g')) ← f₁ g
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with (g'' , (t₂ , g'⊆g'')) ← f₂ g' =
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(g'' , ((Relaxable.relax r g'⊆g'' t₁ , t₂) , ⊆-trans g⊆g' g'⊆g''))
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infixl 2 _update_
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_update_ : ∀ {T : Graph → Set} {{ TRelaxable : Relaxable T }} →
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MonotonicGraphFunction T → (∀ (g : Graph) → T g → Σ Graph (λ g' → g ⊆ g')) →
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MonotonicGraphFunction T
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_update_ {{r}} f mod g
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with (g' , (t , g⊆g')) ← f g
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with (g'' , g'⊆g'') ← mod g' t =
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(g'' , ((Relaxable.relax r g'⊆g'' t , ⊆-trans g⊆g' g'⊆g'')))
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infixl 2 _map_
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_map_ : ∀ {T₁ T₂ : Graph → Set} →
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MonotonicGraphFunction T₁ → (∀ (g : Graph) → T₁ g → T₂ g) →
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MonotonicGraphFunction T₂
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_map_ f fn g = let (g' , (t₁ , g⊆g')) = f g in (g' , (fn g' t₁ , g⊆g'))
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-- To reason about monotonic functions and what we do, we need a way
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-- to describe values they produce. A 'graph-value predicate' is
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-- just a predicate for some (dependent) value.
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GraphValuePredicate : (Graph → Set) → Set₁
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GraphValuePredicate T = ∀ (g : Graph) → T g → Set
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Both : {T₁ T₂ : Graph → Set} → GraphValuePredicate T₁ → GraphValuePredicate T₂ →
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GraphValuePredicate (T₁ ⊗ T₂)
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Both P Q = (λ { g (t₁ , t₂) → (P g t₁ × Q g t₂) })
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-- Since monotnic functions keep adding on to a function, proofs of
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-- graph-value predicates go stale fast (they describe old values of
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-- the graph). To keep propagating them through, we need them to still
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-- on 'bigger graphs'. We call such predicates monotonic as well, since
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-- they respect the ordering of graphs.
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MonotonicPredicate : ∀ {T : Graph → Set} {{ TRelaxable : Relaxable T }} →
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GraphValuePredicate T → Set
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MonotonicPredicate {T} P = ∀ (g₁ g₂ : Graph) (t₁ : T g₁) (g₁⊆g₂ : g₁ ⊆ g₂) →
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P g₁ t₁ → P g₂ (relax g₁⊆g₂ t₁)
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-- A 'map' has a certain property if its ouputs satisfy that property
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-- for all inputs.
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always : ∀ {T : Graph → Set} → GraphValuePredicate T → MonotonicGraphFunction T → Set
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always P m = ∀ g₁ → let (g₂ , t , _) = m g₁ in P g₂ t
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⟨⊗⟩-reason : ∀ {T₁ T₂ : Graph → Set} {{ T₁Relaxable : Relaxable T₁ }}
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{P : GraphValuePredicate T₁} {Q : GraphValuePredicate T₂}
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{P-Mono : MonotonicPredicate P}
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{m₁ : MonotonicGraphFunction T₁} {m₂ : MonotonicGraphFunction T₂} →
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always P m₁ → always Q m₂ → always (Both P Q) (m₁ ⟨⊗⟩ m₂)
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⟨⊗⟩-reason {P-Mono = P-Mono} {m₁ = m₁} {m₂ = m₂} aP aQ g
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with p ← aP g
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with (g' , (t₁ , g⊆g')) ← m₁ g
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with q ← aQ g'
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with (g'' , (t₂ , g'⊆g'')) ← m₂ g' = (P-Mono _ _ _ g'⊆g'' p , q)
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pushBasicBlock : List BasicStmt → MonotonicGraphFunction Graph.Index
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pushBasicBlock bss g =
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( record
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116
MonotonicState.agda
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116
MonotonicState.agda
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@ -0,0 +1,116 @@
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open import Agda.Primitive using (lsuc)
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module MonotonicState {s} {S : Set s}
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(_≼_ : S → S → Set s)
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(≼-trans : ∀ {s₁ s₂ s₃ : S} → s₁ ≼ s₂ → s₂ ≼ s₃ → s₁ ≼ s₃) where
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open import Data.Product using (Σ; _×_; _,_)
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open import Utils using (_⊗_; _,_)
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-- Sometimes, we need a state monad whose values depend on the state. However,
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-- one trouble with such monads is that as the state evolves, old values
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-- in scope are over the 'old' state, and don't get updated accordingly.
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-- Apparently, a related version of this problem is called 'demonic bind'.
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--
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-- One solution to the problem is to also witness some kind of relationtion
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-- between the input and output states. Using this relationship makes it possible
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-- to 'bring old values up to speed'.
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--
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-- Motivated primarily by constructing a Control Flow Graph, the 'relationship'
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-- I've chosen is a 'less-than' relation. Thus, 'MonotonicState' is just
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-- a (dependent) state "monad" that also witnesses that the state keeps growing.
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MonotonicState : (S → Set s) → Set s
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MonotonicState T = (s₁ : S) → Σ S (λ s₂ → T s₂ × s₁ ≼ s₂)
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-- It's not a given that the (arbitrary) _≼_ relationship can be used for
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-- updating old values. The Relaxable typeclass represents type constructor
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-- that support the operation.
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record Relaxable (T : S → Set s) : Set (lsuc s) where
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field relax : ∀ {s₁ s₂ : S} → s₁ ≼ s₂ → T s₁ → T s₂
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instance
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ProdRelaxable : ∀ {P : S → Set s} {Q : S → Set s} →
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{{ PRelaxable : Relaxable P }} → {{ QRelaxable : Relaxable Q }} →
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Relaxable (P ⊗ Q)
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ProdRelaxable {{pr}} {{qr}} = record
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{ relax = (λ { g₁≼g₂ (p , q) →
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( Relaxable.relax pr g₁≼g₂ p
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, Relaxable.relax qr g₁≼g₂ q) }
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)
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}
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-- In general, the "MonotonicState monad" is not even a monad; it's not
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-- even applicative. The trouble is that functions in general cannot be
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-- 'relaxed', and to apply an 'old' function to a 'new' value, you'd thus
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-- need to un-relax the value (which also isn't possible in general).
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--
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-- However, we _can_ combine pairs from two functions into a tuple, which
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-- would equivalent to the applicative operation if functions were relaxable.
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--
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-- TODO: Now that I think about it, the swapped version of the applicative
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-- operation is possible, since it doesn't require lifting functions.
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infixr 4 _⟨⊗⟩_
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_⟨⊗⟩_ : ∀ {T₁ T₂ : S → Set s} {{ _ : Relaxable T₁ }} →
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MonotonicState T₁ → MonotonicState T₂ → MonotonicState (T₁ ⊗ T₂)
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_⟨⊗⟩_ {{r}} f₁ f₂ s
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with (s' , (t₁ , s≼s')) ← f₁ s
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with (s'' , (t₂ , s'≼s'')) ← f₂ s' =
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(s'' , ((Relaxable.relax r s'≼s'' t₁ , t₂) , ≼-trans s≼s' s'≼s''))
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infixl 4 _update_
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_update_ : ∀ {T : S → Set s} {{ _ : Relaxable T }} →
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MonotonicState T → (∀ (s : S) → T s → Σ S (λ s' → s ≼ s')) →
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MonotonicState T
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_update_ {{r}} f mod s
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with (s' , (t , s≼s')) ← f s
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with (s'' , s'≼s'') ← mod s' t =
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(s'' , ((Relaxable.relax r s'≼s'' t , ≼-trans s≼s' s'≼s'')))
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infixl 4 _map_
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_map_ : ∀ {T₁ T₂ : S → Set s} →
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MonotonicState T₁ → (∀ (s : S) → T₁ s → T₂ s) → MonotonicState T₂
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_map_ f fn s = let (s' , (t₁ , s≼s')) = f s in (s' , (fn s' t₁ , s≼s'))
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-- To reason about MonotonicState instances, we need predicates over their
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-- values. But such values are dependent, so our predicates need to accept
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-- the state as argument, too.
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DependentPredicate : (S → Set s) → Set (lsuc s)
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DependentPredicate T = ∀ (s₁ : S) → T s₁ → Set s
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Both : {T₁ T₂ : S → Set s} → DependentPredicate T₁ → DependentPredicate T₂ →
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DependentPredicate (T₁ ⊗ T₂)
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Both P Q = (λ { s (t₁ , t₂) → (P s t₁ × Q s t₂) })
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-- Since monotnic functions keep adding on to the state, proofs of
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-- predicates over their outputs go stale fast (they describe old values of
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-- the state). To keep them relevant, we need them to still hold on 'bigger
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-- states'. We call such predicates monotonic as well, since they respect the
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-- ordering relation.
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MonotonicPredicate : ∀ {T : S → Set s} {{ _ : Relaxable T }} →
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DependentPredicate T → Set s
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MonotonicPredicate {T} {{r}} P = ∀ (s₁ s₂ : S) (t₁ : T s₁) (s₁≼s₂ : s₁ ≼ s₂) →
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P s₁ t₁ → P s₂ (Relaxable.relax r s₁≼s₂ t₁)
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-- A MonotonicState "monad" m has a certain property if its ouputs satisfy that
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-- property for all inputs.
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always : ∀ {T : S → Set s} → DependentPredicate T → MonotonicState T → Set s
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always P m = ∀ s₁ → let (s₂ , t , _) = m s₁ in P s₂ t
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⟨⊗⟩-reason : ∀ {T₁ T₂ : S → Set s} {{ _ : Relaxable T₁ }}
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{P : DependentPredicate T₁} {Q : DependentPredicate T₂}
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{P-Mono : MonotonicPredicate P}
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{m₁ : MonotonicState T₁} {m₂ : MonotonicState T₂} →
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always P m₁ → always Q m₂ → always (Both P Q) (m₁ ⟨⊗⟩ m₂)
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⟨⊗⟩-reason {P-Mono = P-Mono} {m₁ = m₁} {m₂ = m₂} aP aQ s
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with p ← aP s
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with (s' , (t₁ , s≼s')) ← m₁ s
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with q ← aQ s'
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with (s'' , (t₂ , s'≼s'')) ← m₂ s' = (P-Mono _ _ _ s'≼s'' p , q)
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