[icfp] solution II

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ben 2016-03-15 06:23:37 -04:00
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@ -128,9 +128,3 @@ Relative to their pioneering work, we adapt Herman & Meunier's
guards into the programs.
Our treatment of @racket[define] and @racket[let] forms is also new.
@parag{Eager Evaluation}
Our implementation is available as a Racket package.
To install the library, download Racket and then run @racket[raco pkg install ???].
The source code is on Github at: @url["https://github.com/???/???"].

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@ -21,7 +21,7 @@
This pearl presents an elaboration-based technique for refining the
analysis of an existing type system on existing code
@emph{from outside} the type system.
without changing the type system.
We have implemented the technique as a Typed Racket library.
From the programmers' perspective, simply importing the library makes the type
system more perceptive---no annotations or new syntax required.

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@ -1,52 +1,71 @@
#lang scribble/sigplan @onecolumn
@; TODO semantic brackets for translations, but not for sets
@; TODO something like semantic brackets for interpretations?
@; TODO color p?, e
@; Better notation for erasure, maybe just color differently
@require["common.rkt"]
@title[#:tag "sec:solution"]{Interpretations and Translations}
@title[#:tag "sec:solution"]{Interpretations, Elaborations}
The out-of-bounds reference in @code{[0,1,2] !! 3} is evident from the
definition of @code{!!} and the values passed to it.
We also know that @code{1 `div` 0} will go wrong because division by zero is
mathematically undefined.
Similar reasoning about the meaning of @racket{%d} and the variables
bound in @code{(\ x y z -> x)} can determine the correctness
of calls to @racket[printf] and @racket[curry].
The main result of this pearl is defining a compelling set of
@emph{textualist elaborators}.
A textualist elaborator (henceforth, @emph{elaborator})
is a specific kind of macro, meant to be run on the syntax of a program
before the program is type-checked.
The behavior of an elaborator is split between two functions: interpretation
and elaboration.
Generalizing these observations, our analysis begins with a class of
predicates for extracting meta-information from expressions;
for example deriving the length of a list value or arity of a procedure value.
An @emph{interpretation} function attempts to parse data from an expression.
In the Lisp tradition, we will use the value @racket[#false] to indicate
failure and refer to interpretation functions as @emph{predicates}.
Using @exact|{\RktMeta{expr}}| to denote the set of syntactically valid, symbolic
program expressions
and @exact|{\RktVal{val}}| to denote the set of symbolic values,
we define the set @exact{$\interp$}
of interpretation functions.
@exact|{$$\interp\ : \big\{\emph{expr} \rightarrow \emph{Maybe\,(value)}\big\}$$}|
@exact|{$$\interp\ : \big\{\RktMeta{expr} \rightarrow ({\RktVal{val}} \cup {\tt \RktVal{\#false}})\big\}$$}|
@; TODO list footnote, state "predicate" as word of choice (for lack ofa better one)
If @exact|{${\tt p?} \in \interp$}| and @exact|{${\tt e} \in \emph{expr}$}|,
it may be useful to think of
@exact|{${\tt (p?~e)}$}| as @emph{evidence} that the expression @exact|{${\tt e}$}|
is recognized by @exact|{${\tt p?}$}|.
Alternatively, @exact|{${\tt (p?~e)}$}| is a kind of interpolant@~cite[c-jsl-1997]
representing details about @exact|{${\tt e}$}| relevant for program elaboration.
Correct interpretation functions @exact|{${\tt p?}$}| obey three guidelines:
Applying a function @exact|{${\tt f} \in \interp\ $}| to a syntactically
well-formed expression should either yield a value describing some aspect
of the input expression or return a failure result.@note{The name @emph{interp}
is a mnemonic for @emph{interpret} or @emph{interpolant}@~cite[c-jsl-1997].}
Correct predicates @code{f} should recognize expressions with some common
structure (not necessarily a common type) and apply a uniform algorithm
to computer their result.
The reason for specifying @exact|{$\interp\ $}| over expressions rather than
values will be made clear in @Secref{sec:usage}.
@itemize[
@item{
The expressions for which @exact|{${\tt p?}$}| returns a non-@racket[#false]
value must have some common structure.
}
@item{
Non-@racket[#false] results @exact|{${\tt (p?~e)}$}| must be computed by a
uniform algorithm.
}
@item{
Non-@racket[#false] results must have some common structure.
}
]
Once we have predicates for extracting data from the syntax of expressions,
we can use the data to guide program transformations.
@; The main result of this pearl is defining a compelling set of such transformations.
This vague notion of common structure may be expressible as a type in an
appropriate type system.
It is definitely not a type in the target language's type system.
@exact|{$$\trans : \big\{ \emph{expr} \rightarrow \emph{expr}\big\} $$}|
The set @exact|{$\elab$}| of @emph{elaboration} functions contains
function mapping expressions to expressions.
We write elaboration functions as @exact{$\elabf$} and their
to an expression @exact{$e$} as @exact{$\llbracket e \rrbracket$}.
Elaborations are allowed to fail raising syntax errors, which we notate as
@exact|{$\bot$}|.
Each @exact|{${\tt g} \in \trans$}| is a partial function such that @exact|{${\tt (g~e)}$}|
returns either a specialized expression @exact|{${\tt e'}$}| or fails due to a value
error.
These transformations should be applied to expressions @exact|{${\tt e}$}| before
type-checking; the critera for correct transformations can then be given
in terms of the language's typing judgment @exact|{$~\vdash {\tt e} : \tau$}|
and evaluation relation @exact|{$\untyped{{\tt e}} \Downarrow {\tt v}$}|,
where @exact|{$\untyped{{\tt e}}$}| is the untyped erasure of @exact|{${\tt e}$}|.
@exact|{$$\elab : \big\{ {\RktMeta{expr}} \rightarrow ({\RktMeta{expr}} \cup \bot)\big\} $$}|
The correctness specification for an elaborator @exact{$\elabf \in \elab$}
is defined in terms of the language's typing judgment @exact|{$~\vdash {\tt e} : \tau$}|
and evaluation relation @exact|{$\untyped{{\tt e}} \Downarrow {\tt v}$}|.
The notation @exact|{$\untyped{{\tt e}}$}| is the untyped erasure of @exact|{${\tt e}$}|.
We also assume a subtyping relation @exact|{$\subt$}| on types.
Let @exact|{$\elabfe{{\tt e}} = {\tt e'}$}|:
@itemlist[
@item{@emph{
@ -81,29 +100,5 @@ We also assume a subtyping relation @exact|{$\subt$}| on types.
If neither @exact|{${\tt e}$}| nor @exact|{${\tt e'}$}| type checks, then we have no guarantees
about the run-time behavior of either term.
In a perfect world both would diverge, but the fundamental limitations of
static typing@~cite[fagan-dissertation-1992] and computability apply to our
humble system.
@; Erasure, moral, immoral
Finally, we say that a translation @exact|{${\tt (g~e) = e'}$}| is @emph{moral} if
@exact|{$\untyped{{\tt e}}$}| is @exact|{$\alpha$}|-equivalent to @exact|{$\untyped{{\tt e'}}$}|.
Otherwise, the tranlation has altered more than just type annotations and is
@emph{immoral}.
All our examples in @Secref{sec:intro} can be implemented as moral translations.
@; @todo{really, even curry? well it's just picking from an indexed family}
Immoral translations are harder to show correct, but also much more useful.
@; @section{Model}
@; Traditional descriptions of typed calculi follow a two-stage approach.
@; Expressions are first type-checked, then evaluated.
@; For our framework we need to introduce a first step, elaboration,
@; which takes place before type checking.
@;
@; To this end, we adapt the macro system model from Flatt@~cite[f-popl-2016]
@; with a simple type system.
@; Syntactically-valid expressions in the language are initially untyped.
@; The first set of
static typing@~cite[fagan-dissertation-1992] and computability
keep us imperfect.