[icfp] draft intro
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@ -1038,3 +1038,16 @@
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#:title "MACLISP Reference Manual"
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#:title "MACLISP Reference Manual"
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#:date 1974))
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#:date 1974))
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(define f-scp-1991
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(make-bib
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#:author "Matthias Felleisen"
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#:title "On the Expressive Power of Programming Languages"
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;#:location (proceedings-location "Science of Computer Programming")
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#:date 1991))
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(define hm-icfp-2004
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(make-bib
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#:author "David Herman and Philippe Meunier"
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#:title "Improving the Static Analysis of Embedded Languages via Partial Evaluation"
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#:location (proceedings-location icfp) ;#:pages '()
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#:date 2004))
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@ -16,6 +16,7 @@
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parag
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parag
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sf
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sf
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id
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id
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todo
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)
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)
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(require "bib.rkt"
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(require "bib.rkt"
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@ -133,3 +134,5 @@
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(define (id x)
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(define (id x)
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(make-element plain @format["~a" x]))
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(make-element plain @format["~a" x]))
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(define (todo . x)
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(make-element 'bold (list x)))
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97
icfp-2016/intro.scrbl
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97
icfp-2016/intro.scrbl
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@ -0,0 +1,97 @@
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#lang scribble/sigplan
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@require["common.rkt"]
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@title{Introduction}
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@; format/printf : played out
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@; regexp-match : complicated, from HM
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@; + : way too simple
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@; vector-length : boring
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Suppose @racket[regexp-match] is a function for matching a
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regular expression pattern against a string value.
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If the match succeeds then the function returns a list containing the
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part of the string that was matched and all matched groups
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corresponding to parenthesized sub-patterns of the regular expression.
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Otherwise, it returns a value indicating the match failed.
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@; TODO Specify the type system?
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Suppose also that @racket[pattern] and @racket[group] are variables
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bound to string values at run-time.
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Given these premises, what is the type of this expression?
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@racketblock[
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(regexp-match pattern str)
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]
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One simple answer is @racket[(Option (Listof String))].
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If all goes well the resulting value will be a list of strings (of unspecified
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length), but we know ahead of time that the match may fail.
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In a programming language with the full power of dependent types, we can encode
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the relationship between @racket[pattern] and @racket[str] and give a very
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specific type relating the number of groups in @racket[pattern] to the number
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of elements in the result list.
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Dependent types, however, typically require strategic use of type annotations
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and carefully-selected data representations.
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One relatively simple type for the expression above is
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@racket[(Option (List[N] String))] where @racket[N] is the number of groups
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in @racket[pattern], but this requires the type @racket[List] to carry length
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information and a type for regular expressions that counts groups.
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Building the infrastructure necessary to express that particular type of
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the call to @racket[regexp-match] may give more trouble than relief.
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This paper explores a solution between simple and dependent types that
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should apply in any typed language with sufficiently powerful
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@emph{syntax extensions}, or macros.
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The key idea is to refine types based on values apparent in the program text.
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When the parameters to @racket[regexp-match] are bound at run-time, we
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conservatively assign the type @racket[(Option (Listof String))].
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But if there is more information at hand, we use it.
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For instance, both these expressions have the type
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@racket[(Option (List String String))] in our system.@note{Where @racket[List]
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is Typed Racket's type for heterogenous, sized lists; akin to tuple types in ML.}
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@racketblock[
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(regexp-match "hello(o*)" str)
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(let ([pattern "hello(o*)"])
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(regexp-match pattern str))
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]
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The pattern here has exactly one group, delimited by the parentheses.
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Thus if the match succeeds we get a list of two elements: the first being
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the entire matched substring and the second a string matching the regular
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expression @racket{o*}.
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All this is clear from the program text to the programmer; our contribution
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is parsing the relevant information and forwarding it to the type checker.
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@;Additionally replacing @racket[str] with a value gives an even more precise type by
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@; evaluating the expression while type checking.
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@section{Prior & Current Work}
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A macro system provides a general framework for transforming and analyzing
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program syntax.
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Languages with strong macro systems are surprisingly expressive@~cite[f-scp-1991].
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Case in point, Herman and Meunier demonstrated how macros can propogate
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information embedded in string values and syntax patterns to a
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static analyzer@~cite[hm-icfp-2004].
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Their illustrative examples were format strings, regular expression patterns,
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and database queries.
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We adapt these examples to a typed programming language
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and give additional examples inspired by the literature on dependent types.
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By inserting type annotations and boolean guards our macros indirectly
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facilitate type-checking.
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Quite often---but not always---the inferred types can remove the need for
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run-time assertions.
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Contents:
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@itemlist[
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@item{A language-agnostic framework for value-dependent macros (Section 2).}
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@item{Diverse motivating examples, from a type-safe @racket[printf] to a basic typeclass system (Section 3).}
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@item{Description and evaluation of a Typed Racket implementation (Section 4).}
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@item{Correctness requirements for transformations (Section 5).}
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@item{Related work and conclusion (Section 6).}
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]
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@ -1,5 +1,4 @@
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#lang scribble/manual
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#lang scribble/sigplan @onecolumn @preprint
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@;#lang scribble/sigplan @onecolumn
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@(require "common.rkt")
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@(require "common.rkt")
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@ -7,32 +6,32 @@
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"Northeastern University, Boston, USA"
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"Northeastern University, Boston, USA"
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""]
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""]
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@title{Functional Pearl: Do we @emph{really} need Dependent Types?}
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@title{Functional Pearl: Do you see what I see?}
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@; Trivial differences, little things that count
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@subtitle{Improving a simple type system with dependent macros}
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@; Recall 'fexprs are trivial'?
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@; should say "value-dependent"?
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@; Syntactically dependent types
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@; TODO subtitle doesn't appear in the right place
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@abstract{
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@abstract{
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The transformative @emph{and} analytic power of macros can turn
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A simple type system with macros is nearly as good as a dependent type
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a polymorphic type system into a dependent type system, at least
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system, at least for some common programming tasks.
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for common programming tasks.
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By analyzing program syntax and propogating constants
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By analyzing program syntax and propogating known information about program
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before type-checking, we can express many of the practical
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@emph{values} at compile-time, we can express many of the practical
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motivations for dependent types without any programmer annotations
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motivations for dependent types without requiring programmer annotations
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or extensions to the underlying type system.
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or changes to the underlying type system.
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Our macro-expanded types are not proving new theorems,
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but they recognize facts obvious to the programmer and hopefully
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give a nice programming experience.
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Our syntax-dependent subtypes are not proving theorems,
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but they detect certain run-time errors at compile-time and
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cooperate with type inference.
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}
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}
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@;@category["D.3.3" "Programming Languages" "Language Constructs and Features"]
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@;@category["D.3.3" "Programming Languages" "Language Constructs and Features"]
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@;@terms{Performance, Experimentation, Measurement}
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@;@terms{Performance, Experimentation, Measurement}
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@;@keywords{Gradual typing, performance evaluation}
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@;@keywords{Gradual typing, performance evaluation}
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@include-section{outline.scrbl}
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@include-section{intro.scrbl}
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@include-section{solution.scrbl}
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@;@section[#:style 'unnumbered]{Acknowledgments}
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@;@section[#:style 'unnumbered]{Acknowledgments}
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@; acks here
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@generate-bibliography[#:sec-title "References"]
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@generate-bibliography[#:sec-title "References"]
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