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ICFP, October 4, 2002 Concatenate, Reverse and Map Vanish For Free Janis Voigtl ander Dresden University of Technology http://wwwtcs.inf.tu-dresden.de/ voigt Supported by the Deutsche Forschungsgemeinschaft under grant KU 1290/2-1


  1. ICFP, October 4, 2002 Concatenate, Reverse and Map Vanish For Free Janis Voigtl¨ ander Dresden University of Technology http://wwwtcs.inf.tu-dresden.de/ ∼ voigt Supported by the “Deutsche Forschungsgemeinschaft” under grant KU 1290/2-1 and by the “Gesellschaft von Freunden und F¨ orderern der TU Dresden” with a travel grant.

  2. List-Producers using + +, reverse and map : part even [1 .. 10] = [2 , 4 , 6 , 8 , 10 , 1 , 3 , 5 , 7 , 9] part :: ( α → Bool ) → [ α ] → [ α ] part p l = let f [] z = z f ( x : xs ) z = if p x then x : ( f xs z ) else f xs ( z + + [ x ]) in f l [] shuffle “whatever” = “waeervth” shuffle :: [ α ] → [ α ] shuffle [] = [] shuffle ( x : xs ) = x : ( reverse ( shuffle xs )) inits [1 .. 4] = [[] , [1] , [1 , 2] , [1 , 2 , 3] , [1 , 2 , 3 , 4]] inits :: [ α ] → [[ α ]] [] = [[]] inits inits ( x : xs ) = [] : ( map ( x :) ( inits xs )) 1

  3. Runtimes dominated by repeated List-Operations: (s) ✷ 9 inits [1 .. n ] ✷ + 8 shuffle [1 .. n ] + part even [1 .. n ] ✸ 7 ✷ 6 ✸ + 5 4 ✸ ✷ 3 + ✸ 2 + ✷ ✸ 1 + ✸ ✷ 0 n = 0 2000 4000 6000 8000 10000 12000 2

  4. Efficiency by List Abstraction ( part ): part :: ( α → Bool ) → [ α ] → [ α ] part p l = let f [] z = z f ( x : xs ) z = if p x then x : ( f xs z ) else f xs ( z + + ( x : [])) in f l [] ⇓ � :: ( α → Bool ) → [ α ] → [ α ] part � p l = vanish + part + ( λ n c a → let f [] z = z f ( x : xs ) z = if p x then x ‘ c ‘ ( f xs z ) else f xs ( z ‘ a ‘ ( x ‘ c ‘ n )) in f l n ) vanish + + :: ( ∀ β . β → ( α → β → β ) → ( β → β → β ) → β ) → [ α ] + g = g [] (:) (+ +) vanish + Such list abstraction can be performed automat- ically , based on the rank-2 polymorphic type of + and partial type inference [Chitil, 1999]! vanish + Runtimes: n = 3000 5000 7000 9000 11000 even [1 .. n ] 0.4 1.1 2.2 3.5 5.6 (s) part � even [1 .. n ] 0.004 0.006 0.009 0.012 0.015 (s) part 3

  5. � � � Efficiency by List Abstraction ( shuffle ): shuffle :: [ α ] → [ α ] [] = [] shuffle shuffle ( x : xs ) = x : ( reverse ( shuffle xs )) ⇓ :: [ α ] → [ α ] shuffle l = vanish rev ( λ n c r → shuffle let f [] = n f ( x : xs ) = x ‘ c ‘ ( r ( f xs )) in f l ) vanish rev :: ( ∀ β . β → ( α → β → β ) → ( β → β ) → β ) → [ α ] vanish rev g ⊒ g [] (:) reverse Runtimes: n = 2000 4000 6000 8000 10000 [1 .. n ] 0.33 1.3 2.8 5.0 8.0 (s) shuffle [1 .. n ] 0.005 0.01 0.016 0.02 0.025 (s) shuffle 4

  6. � � � � � � � � � Efficiency by List Abstraction ( inits ): inits :: [ α ] → [[ α ]] [] = [] : [] inits inits ( x : xs ) = [] : ( map ( x :) ( inits xs )) ⇓ :: [ α ] → [[ α ]] inits l = vanish + map ( λ n c a r m → inits rev + let f [] = [] ‘ c ‘ n f ( x : xs ) = [] ‘ c ‘ ( m ( x :) ( f xs )) in f l ) map :: ( ∀ β . · · · ) → [ α ] vanish + + rev vanish + map g ⊒ g [] (:) (+ +) reverse map rev + Runtimes: n = 1000 2000 3000 4000 5000 [1 .. n ] 0.35 1.3 3.2 6.0 9.0 (s) inits inits [1 .. n ] 0.08 0.3 0.7 1.3 2.0 (s) 5

  7. � � � � Actual Definitions of the vanish -Combinators: + :: ( ∀ β . β → ( α → β → β ) → ( β → β → β ) → β ) → [ α ] vanish + + g = g id ( λ x h ys → x : ( h ys )) ( ◦ ) [] vanish + vanish rev :: ( ∀ β . β → ( α → β → β ) → ( β → β ) → β ) → [ α ] vanish rev g = fst ( g ( λ ys → ( ys , ys )) ( λ x h ys → ( x : ( fst ( h ys )) , snd ( h ( x : ys )))) ( λ h ys → swap ( h ys )) []) map :: ( ∀ β . β → ( α → β → β ) → ( β → β → β ) → ( β → β ) vanish + + rev → (( α → α ) → β → β ) → β ) → [ α ] map g = fst ( g ( λ f ys → ( ys , ys )) vanish + rev + ( λ x h f ys → (( f x ) : ( fst ( h f ys )) , snd ( h f (( f x ) : ys )))) ( λ h 1 h 2 f ys → ( fst ( h 1 f ( fst ( h 2 f ys ))) , snd ( h 2 f ( snd ( h 1 f ys ))))) ( λ h f ys → swap ( h f ys )) ( λ k h f ys → h ( f ◦ k ) ys ) id []) 6

  8. � � � � User-Exposed Semantics of the vanish -Combinators: vanish + + :: ( ∀ β . β → ( α → β → β ) → ( β → β → β ) → β ) → [ α ] + g = g [] (:) (+ +) vanish + vanish rev :: ( ∀ β . β → ( α → β → β ) → ( β → β ) → β ) → [ α ] vanish rev g ⊒ g [] (:) reverse map :: ( ∀ β . β → ( α → β → β ) → ( β → β → β ) → ( β → β ) vanish + + rev → (( α → α ) → β → β ) → β ) → [ α ] vanish + map g ⊒ g [] (:) (+ +) reverse map rev + Proven using free theorems [Wadler, 1989], driven by the alge- braic laws: ( xs + + ys ) + + zs = xs + + ( ys + + zs ) (1) reverse ( reverse xs ) ⊑ xs (2) map f ( map k xs ) = map ( f ◦ k ) xs (3) 7

  9. � � � � � � � � � � � � � � � � � � � � � � � � � � Proof: vanish + + g = g [] (:) (+ +) Parametricity [Reynolds, 1983] gives for the type of g :: ∀ β . β → ( A → β → β ) → ( β → β → β ) → β the following free theorem [Wadler, 1989]: ( n , n ) ∈ R ∧ ( ∀ x :: A , ( l , l ) ∈ R . ( c x l , c x l ) ∈ R ) ∧ ( ∀ ( l 1 , l 1 ) ∈ R , ( l 2 , l 2 ) ∈ R . ( a l 1 l 2 , a 2 ) ∈ R ) l 1 l ⇒ ( g n c a , g n ) ∈ R . c a Instantiate with n = [], c = (:), a = (+ +), n = id , c = ( λ x h ys → x : ( h ys )), = ( ◦ ), and R = { ( l , l ) | ∀ ys :: [ A ] . l + + ys = l ys } : a ( ∀ ys . [] + + ys = ys ) ∧ ( ∀ x , l , l . ( ∀ ys . l + + ys = l ys ) ⇒ ( ∀ ys . ( x : l ) + + ys = x : ( l ys ))) ∧ ( ∀ l 1 , l 1 , l 2 , l 2 . ( ∀ ys . l 1 + + ys = l 1 ys ) ∧ ( ∀ ys . l 2 + + ys = l 2 ys ) ⇒ ( ∀ ys . ( l 1 + + l 2 ) + + ys = l 1 ( l 2 ys ))) ⇒ ( ∀ ys . ( g [] (:) (+ +)) + + ys = g id ( λ x h ys → x : ( h ys )) ( ◦ ) ys ) . The preconditions of this implication are fulfilled by the definition of (+ +) and by law (1), hence: ( g [] (:) (+ +)) + + [] = vanish + + g . 8

  10. � � � � � � A general Methodology (e.g.: the filter vanishes) nub :: Eq α ⇒ [ α ] → [ α ] [] = [] nub nub ( x : xs ) = x : ( filter ( x � =) ( nub xs )) 1. Freezing and Efficient Conversion: data List α = Nil | Cons α ( List α ) | Filter ( α → Bool ) ( List α ) :: Eq α ⇒ [ α ] → List α nub nub [] = Nil ( x : xs ) = Cons x ( Filter ( x � =) ( nub xs )) nub :: List α → [ α ] convert l = let h p = [] convert Nil h ( Cons x xs ) p = if ( p x ) then ( x : ( h xs p )) else ( h xs p ) h ( Filter q xs ) p = h xs ( λ x → q x & & p x ) in h l ( λ x → True ) 9

  11. � � � � 2. Preparing Shortcut Fusion [Gill et al. , 1993]: build List g = g Nil Cons Filter :: Eq α ⇒ [ α ] → List α nub l = build List ( λ n c f → let h [] = n nub h ( x : xs ) = c x ( f ( x � =) ( h xs )) in h l ) Nil n c f = n fold List fold List ( Cons x xs ) n c f = c x ( fold List xs n c f ) fold List ( Filter q xs ) n c f = f q ( fold List xs n c f ) :: List α → [ α ] convert l = fold List l convert ( λ p → []) ( λ x h p → if ( p x ) then ( x : ( h p )) else ( h p )) ( λ q h p → h ( λ x → q x & & p x )) ( λ x → True ) 10

  12. � � 3. Calculate using Fusion Law: fold List ( build List g ) = g ( nub l ) convert = fold List ( build List ( λ n c f → let h [] = n h ( x : xs ) = c x ( f ( x � =) ( h xs )) in h l )) ( λ p → []) ( λ x h p → if ( p x ) then ( x : ( h p )) else ( h p )) ( λ q h p → h ( λ x → q x & & p x )) ( λ x → True ) = ( λ n c f → let h [] = n h ( x : xs ) = c x ( f ( x � =) ( h xs )) in h l ) ( λ p → []) ( λ x h p → if ( p x ) then ( x : ( h p )) else ( h p )) ( λ q h p → h ( λ x → q x & & p x )) ( λ x → True ) 11

  13. � � 4. Abstract into Combinator: vanish filter g = g ( λ p → []) ( λ x h p → if ( p x ) then ( x : ( h p )) else ( h p )) ( λ q h p → h ( λ x → q x & & p x )) ( λ x → True ) :: Eq α ⇒ [ α ] → [ α ] nub nub l = vanish filter ( λ n c f → let h [] = n h ( x : xs ) = c x ( f ( x � =) ( h xs )) in h l ) 5. Prove Correctness: vanish filter :: ( ∀ β .β → ( α → β → β ) → (( α → Bool ) → β → β ) → β ) → [ α ] vanish filter g = g [] (:) filter Using a free theorem and the following law: filter p ( filter q xs ) = filter ( λ x → q x & & p x ) xs (4) 12

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