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Dependent Type Theory of Stateful Higher-Order Functions Aleksandar Nanevski Harvard University joint with Greg Morrisett and Lars Birkedal TYPES 2006, Nottingham April 20, 2006 Dependent Type Theory of Stateful Higher-Order Functions p.


  1. Dependent Type Theory of Stateful Higher-Order Functions Aleksandar Nanevski Harvard University joint with Greg Morrisett and Lars Birkedal TYPES 2006, Nottingham April 20, 2006 Dependent Type Theory of Stateful Higher-Order Functions – p. 1

  2. Dependent type theory • Type theory is a program logic: − types can express and enforce precise program properties • Doubles up as a programming language. • Prototypical higher-order language (e.g, polymorphism, inductive/recursive types, subset types, etc.) • Problem: must be purely functional − recursion allowed, if you prove termination − effects like state, IO, etc., usually second class Dependent Type Theory of Stateful Higher-Order Functions – p. 2

  3. Hoare Logic • Logic for imperative programs. • Specifies partial correctness via Hoare triple { P } E { Q } : − if P holds, then E diverges or terminates in a state Q − P : precondition − Q : postcondition • Usually targets first-order languages − but recent advances in the higher-order case • Reasoning about state and aliasing very streamlined − Separation Logic by O’Hearn, Pym, Reynolds, Yang... Dependent Type Theory of Stateful Higher-Order Functions – p. 3

  4. Type theory for imperative programs • Why not integrate Hoare Logic into a Type Theory? • Benefits: − types can enforce correct use of effectful programs − add effects to type theory − preserves equational reasoning about pure programs • Idea: follow specifications-as-types principle − Type of Hoare triples { P } x : A { Q } − precondition P , postcondition Q , return result of type A . − Dependencies allow P and Q to talk about program data. • In this talk: Hoare Type Theory (HTT) − for reasoning about state and aliasing Dependent Type Theory of Stateful Higher-Order Functions – p. 4

  5. Outline • Introduction � • Assertion logic • Types and terms • Typechecking • Conclusions Dependent Type Theory of Stateful Higher-Order Functions – p. 5

  6. Heaps • Partial functions, assigning to each natural number at most one value. • Assertion seleq τ ( H, M, N ) : − In the heap H , location M points to N : τ . • Function upd τ ( H, M, N ) : − Returns a new heap in which M points to N : τ . • τ is a monomorphic type. Dependent Type Theory of Stateful Higher-Order Functions – p. 6

  7. Axioms on heaps • McCarthy’s axioms for functional arrays. seleq A ( upd A ( H, M, N ) , M, N ) (ax1) M 1 � = M 2 ∧ seleq A ( upd B ( H, M 1 , N 1 ) , M 2 , N 2 ) ⊃ (ax2) seleq A ( H, M 2 , N 2 ) • And: seleq A ( empty , M, N ) ⊃ ⊥ (ax3) seleq A ( H, M, N 1 ) ∧ seleq A ( H, M, N 2 ) ⊃ N 1 = N 2 (ax4) Dependent Type Theory of Stateful Higher-Order Functions – p. 7

  8. Assertions • Classical multi-sorted first-order logic with equality • Sorts: heaps and all types of HTT • Plus: type polymorphism (predicative) • Examples − heap equality can be defi ned: H 1 = H 2 ≡ ∀ l : nat . ∀ α. ∀ x : α. seleq α ( H 1 , l, x ) ⊂⊃ seleq α ( H 2 , l, x ) − Also defi nable: disjoint union H = H 1 ⊎ H 2 Dependent Type Theory of Stateful Higher-Order Functions – p. 8

  9. Some derived assertions • We can define propositions from Separation Logic. − Variable mem denotes current heap. ≡ ( mem = empty ) emp M �→ τ N ≡ ( mem = upd τ ( empty , M, N )) M ֒ → τ N ≡ seleq τ ( mem , M, N ) P ∗ Q ≡ ∃ h 1 , h 2 : heap . ( mem = h 1 ⊎ h 2 ) ∧ [ h 1 / mem ] P ∧ [ h 2 / mem ] Q P — ∗ Q ≡ ∀ h 1 , h 2 : heap . ( h 2 = h 1 ⊎ mem ) ⊃ [ h 1 / mem ] P ⊃ [ h 2 / mem ] Q this ( H ) ≡ ( mem = H ) Dependent Type Theory of Stateful Higher-Order Functions – p. 9

  10. Example: swap • Swap content of locations x and y (here natural numbers). • Spec with no aliasing between x and y : − α , β : type variables swap : ∀ α. ∀ β. Π x : nat . Π y : nat . { x �→ α m ∗ y �→ β n } r : 1 { x �→ β n ∗ y �→ α m } • For a spec with aliasing, use ∧ instead of ∗ Dependent Type Theory of Stateful Higher-Order Functions – p. 10

  11. Example: swap • Swap content of locations x and y (here natural numbers). • Spec with no aliasing between x and y : − α , β : type variables swap : ∀ α. ∀ β. Π x : nat . Π y : nat . m : α.n : β. { x �→ α m ∗ y �→ β n } r : 1 { x �→ β n ∗ y �→ α m } • For a spec with aliasing, use ∧ instead of ∗ • m , n : dummy variables Dependent Type Theory of Stateful Higher-Order Functions – p. 10

  12. Outline • Introduction � • Assertion logic � • Types and terms • Typechecking • Conclusions Dependent Type Theory of Stateful Higher-Order Functions – p. 11

  13. Type structure • Primitive types: nat , bool , 1 • Dependent functions: Π x : A. B – standard • Polymorphic types: ∀ α. A – standard • Hoare types: { P } x : A { Q } − Hoare types are monads − encapsulate effectful computations − but also formalize reasoning by strongest postconditions Dependent Type Theory of Stateful Higher-Order Functions – p. 12

  14. Term structure • Pure fragment: higher-order functions, polymorphism... • Impure fragment – first-order imperative language − sequence of commands, ending with a return value − primitives for allocation, strong update, lookup, deallocation, conditionals, recursion − recursive functions must be annotated with a type • Monadic constructs: − dia E · suspends the effectful computation E · suspension is pure, so it can appear in types − let dia x = M in E · run M , then E Dependent Type Theory of Stateful Higher-Order Functions – p. 13

  15. Monadic terms • Definition and typing of characteristic monadic terms: : A → M ( A ) = unit λx. dia x : ( A → B ) → M ( A ) → M ( B ) = map λf. λx. dia ( let dia y = x in f y ) : M ( M ( A )) → M ( A ) = idemp λx. dia ( let dia y = x in let dia z = y in z ) Dependent Type Theory of Stateful Higher-Order Functions – p. 14

  16. Monadic terms • Definition and typing of characteristic monadic terms: : A → M ( A ) = unit λx. dia x : ( A → B ) → M ( A ) → M ( B ) = map λf. λx. dia ( let dia y = x in f y ) : M ( M ( A )) → M ( A ) = idemp λx. dia ( let dia y = x in let dia z = y in z ) • Dependently typed unit : : Π x : A. { P } y : A { x = y ∧ P } = unit’ λx. dia x Dependent Type Theory of Stateful Higher-Order Functions – p. 14

  17. Example: swap • Swap content of x and y swap : ∀ α . ∀ β . Π x:nat. Π y:nat. m: α . n: β . { x �→ α m * y �→ β n } r : unit { x �→ β n * y �→ α m } = Λ α . Λ β . λ x. λ y. dia (u = !x; v = !y; y := u; x := v; ( )) Dependent Type Theory of Stateful Higher-Order Functions – p. 15

  18. Example: swap twice • Swapping twice in a row is identity. identity = Λ α . Λ β . λ x. λ y. dia(let dia = swap α β x y = swap β α x y dia in ( ) end) − Heap invariance apparent from the type. identity : ∀ α . ∀ β . Π x:nat. Π y:nat. m: α ,n: β ,h:heap. { (x �→ α m * y �→ β n) ∧ this(h) } r : 1 { this(h) } Dependent Type Theory of Stateful Higher-Order Functions – p. 16

  19. Outline • Introduction � • Assertion logic � • Types and terms � • Typechecking • Conclusions Dependent Type Theory of Stateful Higher-Order Functions – p. 17

  20. Judgments • Typechecking by computing strongest postconditions. • Typechecking is completely syntax-directed. − effectful programs are (part of) the proofs of their specs − remaining part of the proof must discharge intermediate assertions − no whole-program reasoning • Judgment: ∆; P ⊢ E ⇒ x : A. Q − ∆ : variable context − E : computation − P : what holds before E runs (precondition) − A : return result − Q : how the heap is changed after E (strongest postcondition) − Q is output Dependent Type Theory of Stateful Higher-Order Functions – p. 18

  21. Typechecking deallocation • dealloc ( M ); E − deallocates memory at location M , and proceeds to run E Dependent Type Theory of Stateful Higher-Order Functions – p. 19

  22. Typechecking deallocation • dealloc ( M ); E − deallocates memory at location M , and proceeds to run E • Typing rule: ∆; P ⊢ dealloc ( M ); E ⇒ y : B. Q Dependent Type Theory of Stateful Higher-Order Functions – p. 19

  23. Typechecking deallocation • dealloc ( M ); E − deallocates memory at location M , and proceeds to run E • Typing rule: ∆ ⊢ M : nat ∆; P ⊢ dealloc ( M ); E ⇒ y : B. Q Dependent Type Theory of Stateful Higher-Order Functions – p. 19

  24. Typechecking deallocation • dealloc ( M ); E − deallocates memory at location M , and proceeds to run E • Typing rule: ∆ ⊢ M : nat ∆ ⊢ P ⊃ ( M ֒ → − ) ∆; P ⊢ dealloc ( M ); E ⇒ y : B. Q • proving P ⊃ ( M ֒ → − ) can be postponed Dependent Type Theory of Stateful Higher-Order Functions – p. 19

  25. Typechecking deallocation • dealloc ( M ); E − deallocates memory at location M , and proceeds to run E • Typing rule: ∆ ⊢ M : nat ∆ ⊢ P ⊃ ( M ֒ → − ) ∆; ⊢ E ⇒ y : B. Q ∆; P ⊢ dealloc ( M ); E ⇒ y : B. Q • proving P ⊃ ( M ֒ → − ) can be postponed Dependent Type Theory of Stateful Higher-Order Functions – p. 19

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