Translucent existentials and sums
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Translucent Existentials and Sums. Robert Harper Fall Semester, 2002. Transparency and Opacity. Dependent types are transparent . Propagate type sharing by substitution. No support for type abstraction. Existential types are opaque . Representation type is hidden from client.

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Translucent Existentials and Sums

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Translucent existentials and sums

Translucent Existentials and Sums

Robert Harper

Fall Semester, 2002


Transparency and opacity

Transparency and Opacity

  • Dependent types are transparent.

    • Propagate type sharing by substitution.

    • No support for type abstraction.

  • Existential types are opaque.

    • Representation type is hidden from client.

    • No support for transparency.


Transparency and opacity1

Transparency and Opacity

  • Dependent types run afoul of effects.

    • Replication or deletion of effects.

    • Effectful expressions in types.

    • Sensible in a second-class module system.

  • Existential types are compatible with effects.

    • But opacity is a high price to pay!


Transparency and opacity2

Transparency and Opacity

  • Existential types support separate compilation.

    • Interfaces are existentials.

    • Complete separation of code from types.

  • Dependent types conflict with separate compilation.

    • Sharing is propagated by substitution.


Transparency and opacity3

Transparency and Opacity

  • Separate compilation and effects are important.

    • Suggests using existentials.

  • Type dependency is important.

    • Suggests using dependent types.

  • Controlled sharing propagation is essential.

    • Suggests something else is needed.


Effects revisited

Effects, Revisited

  • Existentials are maximally pessimistic.

    • If e : 9 t.t, then no information about the type part of e is available statically.

    • eg, e = if moon-is-full then e1 else e2.

  • But this is a “worst-case” scenario!

    • e = packtwithl x:t.x

    • e = packtwith (print “hello”; l x:t.x)


Determinacy

Determinacy

  • A module is determinate iff its type component is well-defined.

    • First-class: truly indeterminate modules.

    • Second-class: pro forma indeterminacy, but no per se indeterminacy.

  • Module values are determinate.

    • Explicit package of a type with a value.

    • Variables, paths (assuming CBV).


Full expressiveness

Full Expressiveness

  • The type of a module should capture its entire static significance.

    • Identity of type components.

    • Type of value components.

  • Need type definitions in interfaces.

    • Capture representation type.

    • Programmer-controlled degree of abstraction.


Translucent existentials

Translucent Existentials

  • Enrich existentials with type definitions:

    • 9 t.t for opaque types;

    • 9 t=s.t for transparent types.

  • Packages do not change.

    • But any equations must be satisfied!

  • Dot notation:

    • repn(e) for the representation type of e;

    • opns(e) for the operations of e.


Translucent existentials1

Translucent Existentials

  • Propagation of type sharing information:

    • G`9 t=s.t´9 t=s.{s/t}t

  • “Forgetful” subtyping:

    • G`9 t=s.t <: 9 t.t,

    • if G `t´t’, then G `t<:t’

  • Thus, 9 t=s.t <: 9 t.{s/t}t


Dot notation

Dot Notation

  • If e is determinate of type 9 t=s.t, then repn(e) ´s.

  • If e is determinate of type 9 t.t, then repn(e) is equal only to itself.

  • If e is indeterminate, cannot form repn(e).

    • There is no unique representation type!


Dot notation and effects

Dot Notation and Effects

  • Typing rules for opns must take account of effects!

    • First cut: G `D opns(e) : {repn(e)/t}t

    • But this involves substitution!

  • Problem: repn(e) is a type involving e.

    • No better off than with dependent types!

    • What if e is indeterminate?


Dot notation and determinacy

Dot Notation and Determinacy

  • Suppose e : 9 t.t.

  • If e is determinate, then repn(e) is sensible, hence so is opns(e).

  • If tdoes not involve t, then opns(e) is sensible.

    • Substitution is vacuous, so opns(e) : t.

    • e can be determinate or indeterminate.


Dot notation and transparency

Dot Notation and Transparency

  • Note: the type of opns(e) does not depend on repn(e) if e : 9 t=s.t.

    • Propagate sharing to eliminate t from t.

  • Theorem: If e is a value, then it has a non-dependent type!

    • Explicit packages: propagate sharing.

    • Variables (and paths): selfification.


Dot notation and transparency1

Dot Notation and Transparency

  • WLOG we may admit opns(e) only when e has a non-dependent type.

    • Always if e is a value (by the theorem).

    • Always if representation is explicitly exposed (even if e has effects).

    • Never if e is genuinely indeterminate.

  • This is the key to dot notation in the presence of effects!


Dot notation and transparency2

Dot Notation and Transparency

  • Packages have transparent types:

    • packswith e : 9 t=s.t, if e : {s/t}t.

  • Package type can be weakened by subsumption.

    • packswith e : 9 t.t.

  • Sealing forces weakening.

    • (e:9 t.t) : 9 t.t


Selfification

Selfification

  • Suppose that G(x) = 9 t.t.

  • Selfification: G` x : 9 t=repn(x).t.

    • repn(x) is well-formed because variables are determinate.

    • propagates an “obvious” fact to the type.

  • Extends to paths opns(opns(…(x)…)).

    • Deemed valuable because projection is “total” (does not affect determinacy).


Selfification1

Selfification

  • Selfification is essential for principal types for modules.

    • sig type t val x:t end is not principal for x, even though x is declared with this type!

    • selfification yields the most precise type for x, namely sig type t=x.t val x:t end.

    • all types for x are supertypes.

    • singletons reveal the full story (later).


Selfification2

Selfification

  • Without selfification we cannot form opns(x)!

    • Typing rule precludes dependency.

  • Without selficication we incur excessive abstraction.

    • structure S’ = S yields S’.t different from S.t

  • Leads to a more elegant type theory.

    • But incompatible with “by name” binding!


Dependency

Dependency

  • Similar ideas apply to dependent types!

    • Avoid substitution, because of effects.

  • Substructure selection and functor application are restricted to the non-dependent case.

    • First, propagate type sharing.

    • Second, perform elimination operation.


Substructure selection

Substructure Selection

  • Suppose that e : S s:t1.t2.

    • the natural type for p2(e) is {p1(e)/s}t2

    • but what if e has an effect?

  • How can s occur free in t2 ?

    • only as repn(p(s)), where p is a path.

    • if p(s) is transparent, substitute to remove dependency.

    • if e is a value, all paths from s can be made transparent by path selfification.


Substructure selection1

Substructure Selection

  • Can always admit p1(e).

    • no issue of sharing propagation.

  • Admit p2(e) iff e : t1£t2.

    • That is, e : S s:t1.t2 with s not free in t2.

  • Dependency eliminable iff e is determinate.

    • Otherwise it makes no sense to form p2(e)!


Functor application

Functor Application

  • Suppose that e : P s:t1.t2.

  • Consider the application e(e1).

    • Natural type: {e1/s}2.

    • But what if e has an effect?

  • Require that s does not occur free in t2.

    • Can only arise in the form repn(p(s)).

    • Always possible if e1 is a value!


Functor application1

Functor Application

  • Subtyping for functor types is

    • covariant in the range

    • contravariant in the domain

  • We can weaken a functor type by strengthening its domain type!

    • Add more sharing to the domain.

    • Propagate sharing to eliminate dependency.


Functor application2

Functor Application

  • Suppose that t1 = 9 t.s1 and that t2 = 9 t=repn(s).s2.

    • So t = P s:t1.t2 is dependent.

  • Suppose that e : 9 t.s1 is a value.

    • So e : 9 t=r.s for some r.

  • By subsumption F has type P s:t1’.t2, where t1’ = 9 t=r.s1.


Functor application3

Functor Application

  • By sharing propagation we may eliminate dependencies on s from t2.

    • Replace repn(s) by r.

  • Thus F has type P s:t1’.{r/repn(s)}t2.

    • Write t2 as {repn(s)/t}t2’.

    • Then form t2’’ = {r/t}t2’.

  • So F has type t1’!t2’’, hence F(e1) : t2’’.

    • Regardless of whether e1 has an effect!


Functor application4

Functor Application

  • Every value must have a “fully transparent” type.

    • All type paths starting from that value have a definition.

    • Thus repn(p) may be replaced by its definition.


Context formation

Context Formation


Type equivalence and subtyping

Type Equivalence and Subtyping


Term formation

Term Formation


Translucent sums

Translucent Sums


Translucent sums1

Translucent Sums


Translucent sums2

Translucent Sums


Dependent sums

Dependent Sums


Dependent sums1

Dependent Sums


Dependent sums2

Dependent Sums


Dependent products

Dependent Products


Dependent products1

Dependent Products


Harper lillibridge

Harper-Lillibridge

  • The H-L formalism is based on translucent sums.

    • Dependent records with type and value components.

    • Labels (for external access) separated from variables (for internal access).

    • Subtyping may forget components.


Harper lillibridge1

Harper-Lillibridge

  • Translucent sums: { d1, …, dn }

    • Each di is a declaration of a type or a value.

  • Declarations:

    • Type component: l Ba :: k [=t]

    • Value component: l B x : t

  • External vs internal access:

    • Labels are used for paths (projection).

    • Variables are used for internal dependencies.

    • It is essential to distinguish these!


Harper lillibridge2

Harper-Lillibridge

  • Elements of translucent sums are dependent records { b1, …, bn }.

    • Each bi is a binding.

  • Bindings have the form:

    • Type binding: l Ba :: k = t.

    • Value binding: l B x : t.


Leroy manifest types

Leroy: Manifest Types

  • Superficial differences from H-L.

    • More ML-like notation, for example.

  • A few minor technical deficiencies.

    • Paths cannot be limited to variables at the head.

    • Different treatment of variable/label distinction.


Translucent sums for modules

Translucent Sums for Modules

  • Translucent sums solve several problems in one framework:

    • Effectful languages.

    • Dependent types for structures and functors.

    • Selective opacity/transparency.


Translucent sums for modules1

Translucent Sums for Modules

  • H-L and Leroy provide only very weak support for higher-order modules.

    • Fully expressive in the first-class case (without restrictions).

    • Does no capture phase distinction for the second-class case.


Translucent sums for modules2

Translucent Sums for Modules

  • The H-L formalism is undecidable!

    • Subtyping relation is undecidable by an argument similar to Pierce’s for F-Sub.

    • Leroy’s may or may not be, it’s not clear.

  • Both formalisms lack principal types!

    • Serious obstacle to type checking.

    • Precludes strong separate compilation (pace Leroy’s motivation).


Translucent sums for modules3

Translucent Sums for Modules

  • Let T = 9 t.1 and let U = 9 t=repn(s).1, where s is a free variable.

    • Note that U <: T.

    • Let t¤ = packtwith¤ : T.

  • Consider the type s = (T ! U) £ U, and suppose that we wish to avoid s.

  • Two incomparable supertypes avoid s:

    • (T! T) £ T

    • S f:(T! T).(9 t=repn(f(t¤)).1) foranyt.


Translucent sums for modules4

Translucent Sums for Modules

  • For a first-order module system we can get by with H-L or L.

    • HOM weakness not at issue.

  • But we must avoid the avoidance problem.

    • Requires elaboration tricks.

    • More on this later.

    • O’Caml doesn’t, so its incomplete.


Summary

Summary

  • Translucent sums enrich existentials:

    • Controlled abstraction.

    • Fully expressive types.

    • Support for “dot notation”.

  • Translucent sums generalize dependent types.

    • Leroy establishes a precise connection.


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