Simple Type Inference for Structural Polymorphism
Simple Type Inference for Structural Polymorphism. Jacques Garrigue Type Refinements Seminar. Motivation. HM (X) used to explain structural polymorphism Assume subtyping absent HM(X) is not a simple extension to previous algorithms Constraints occur in all types
Simple Type Inference for Structural Polymorphism
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Presentation Transcript
Simple Type Inference for Structural Polymorphism Jacques Garrigue Type Refinements Seminar
Motivation • HM (X) used to explain structural polymorphism • Assume subtyping absent • HM(X) is not a simple extension to previous algorithms • Constraints occur in all types • Type errors become unreadable
Proposed Solution • Have “local constraints” : constraints on top of classic Hindley-Milner system • Constraints embedded in kinding context for type variables • Less powerful than HM(X)
Type System • Types ::= | u | ! • Kind envs K ::= | K, :: (C,9.R) • Polytypes ::= | 8.K .
Free Variables of Types • FVK(81,,n.K’ . ) = FVK,K’()\{1,,n} • FVK,:(C,9 .R) () = {}[ FVK(R) • FVK(u) = • FVK(1!2) = FVK(1)[ FVK(2)
Type Substitutions • K `:K’ ( is admissible between K and K’) If for all ::(C,9.R) 2 K, () is ’ • ’::(C’,9’ R’) 2 K’ • C’ ² C • : !’ s.t. ( R)µ R exists
Typing Rules K,K0` : K Dom ()½ B K;,x:8 B.Ko. ` x:() K;,x:` e:’ K;` fun x ! e : !’ K;` e1:!’ K;` e2: K;` e1 e2 : ’
Typing Rules (contd.) K;` e1 : K;, x:` e2 : K;` let x = e1 in e2 : K; ` e : B = FVK() \ FVK () K|B; ` e : 8 B.K|B. Gen
Compare with HM (X) K;` e : B = (FV () [ FV(KB) ) FV () 9 B.K;` e : 8 B.KB. KBµ K containing all kinds related to B Generalizes over tyvars not “relevant” HMX-Gen
Relevant type variable • Technical definition in paper • Basically, the meaning of the type depends on what kind the variable gets • Recall, kinds include constraints • Useful to understand constraints/ type errors
Benefits • Easier understanding of constraints • e.g. If FVK(1) [ FVK(2), solving K Æ1 = 2 does not give us more information about
Conclusions • Less powerful than HM (X) : no subtyping • Gives less precise answers • More practical (??) • Sufficient for most purposes