Add literal string constants (#19)
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In addition, for the sake of Haskell code generation, this PR adds static typing with Statix. Resolves #5. Co-authored-by: Glen Whitney <glen@studioinfinity.org> Reviewed-on: #19 Co-Authored-By: Glen Whitney <glen@nobody@nowhere.net> Co-Committed-By: Glen Whitney <glen@nobody@nowhere.net>
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module statics
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imports signatures/fostr-sig
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imports signature/TYPE
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imports statics/util
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// see docs/implementation.md for details on how to switch to multi-file analysis
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/** md
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Title: Adding Program Analysis with Statix
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## Development of fostr static analysis
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This section is more documentation of Spoofax in general and Statix
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in particular than of fostr itself, but is being maintained here in case
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it could be either helpful to someone getting started with Statix or
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helpful in understanding how the static characteristics of fostr were designed.
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As mentioned in the [Overview](../README.md), I don't like to program and a
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corollary of that is never to use a facility unless/until there's a need for
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it. So the first few rudimentary passes at fostr simply declared every program
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to be "OK" from the point of view of Statix:
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```statix
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{! "\git docs/statix_start:trans/statics.stx" extract:
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start: programOk
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stop: (.*TopLevel.*)
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!}
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```
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Then I reached the point at which the grammar was basically just
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```SDF3
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// Start.TopLevel = <Seq>
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// Seq = <Ex>
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// Seq.Sequence = sq:Ex+ {layout(align-list sq)}
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// Ex.Terminated = <<Ex>;>
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{! "\git docs/statix_start:syntax/fostr.sdf3" extract:
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start: TermEx.Terminate
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stop: (.*bracket.*)
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!}
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```
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(The first four clauses are in comments because they approximate fostr's
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grammar; it actually uses a few more sorts for sequences of
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expressions, to achieve fostr's exact layout rules. Also note that the parsing
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of literal strings later evolved to include the surrounding single quotes,
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because the rule above implicitly allows layout between the quotes and the
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string contents, creating ambiguity.)
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This was the first point at which there were two different types that might
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need to be written to standard output (Int and String), and although of course
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the dynamically-typed Python and Javascript code generated dealt with both fine,
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the Haskell code needed to differ depending on the
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type of the item written (and I hadn't even started OCaml code generation at
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that point since I knew it would be hopeless without statically typing fostr
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programs).
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So it was time to bite the bullet and add type checking via Statix to fostr.
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The first step was to replace the simple assertion that any TopLevel
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is OK with a constraint that its Seq must type properly, and an assignment of
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that type to the top level node:
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```statix
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programOk(tl@TopLevel(seq)) :- {T}
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type_Seq(seq) == T,
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@tl.type := T.
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```
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Of course, for this to even parse, we must have a definition of `type_Seq`:
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```statix
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{! ../signature/TYPE.stx extract: {start: module, stop: rules} !}
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**/
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// see docs/implementation.md for detail on how to switch to multi-file analysis
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rules // single-file entry point
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programOk : Start
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programOk(TopLevel(_)).
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/** md
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rules
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type_Seq : Seq -> TYPE
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```
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**/
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type_LineSeq : LineSeq -> TYPE
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programOk(tl@TopLevel(seq)) :- {T}
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type_LineSeq(seq) == T,
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@tl.type := T.
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/** md
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Now to type a Seq, we look to the syntax, and see that there are two
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possibilities for what it might be: just an Ex, or a Sequence(_) of a
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list of 'Ex's. For the first, Statix does not allow one sort to simply
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"become" another, but the Spoofax infrastructure automatically inserts
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"injection" constructors for us, in this case one named Ex2Seq. So the
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first rule for `type_Seq` is straightforward:
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```statix
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type_Seq(s@Ex2Seq(e)) = T : -
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type_Ex(e) == T,
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@s.type := T.
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```
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where of course type_Ex needs its own declaration analogous to the above.
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**/
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type_Line : Line -> TYPE
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type_LineSeq(ls@Line2LineSeq(l)) = T :-
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type_Line(l) == T,
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@ls.type := T.
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/** md
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The other (and in fact more typical) rule for `type_Seq`, when it actually
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consists of a sequence of expressions, is a bit more involved. Fortunately
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Statix provides a primitive for mapping over a list, so we can proceed as
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follows:
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```statix
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types_Exs maps type_Ex(list(*)) = list(*)
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type_Seq(s@Sequence(l)) = T :- {lt}
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types_Exs(l) == lt,
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lastTYPE(lt) == T,
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@s.type := T.
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```
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Here `lastTYPE` is a function that extracts the last TYPE from a list.
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Unless/until Statix develops some sort of standard library, it must be
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hand-defined, as done in "statics/util.stx" like so:
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```statix
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{! ../statics/util.stx extract: {start: lastTYPE} !}
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```
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**/
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types_Lines maps type_Line(list(*)) = list(*)
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type_LineSeq(ls@Sequence(l)) = T :- {lt}
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types_Lines(l) == lt,
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lastTYPE(lt) == T,
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@ls.type := T.
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type_OptTermEx : OptTermEx -> TYPE
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type_Line(l@OptTermEx2Line(ote)) = T :-
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type_OptTermEx(ote) == T,
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@l.type := T.
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type_Ex : Ex -> TYPE
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type_TermEx : TermEx -> TYPE
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type_OptTermEx(ote@Ex2OptTermEx(e)) = T :-
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type_Ex(e) == T,
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@ote.type := T.
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type_OptTermEx(ote@TermEx2OptTermEx(te)) = T :-
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type_TermEx(te) == T,
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@ote.type := T.
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/** md
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This brings us to the syntax rules for the basic expressions themselves,
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which comprise almost all of the remaining fostr language constructs.
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But first a mechanism suggested by Ivo Wilms to avoid repeating the node
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type annotation in every rule:
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```statix
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**/
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/** md */
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ty_Ex : Ex -> TYPE
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type_Ex(e) = ty@ty_Ex(e) :-
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@e.type := ty.
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/* **/
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/** md
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```
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At this stage in fostr's development, there was no difference between a
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terminated and unterminated expression, so the typing rule for that
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constructor was trivial:
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```statix
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ty_Ex(Terminated(e)) = ty_Ex(e).
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```
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**/
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type_TermEx(te@Terminate(e)) = T :-
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type_Ex(e) == T,
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@te.type := T.
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/** md
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Now typing literals is straightforward:
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```statix
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**/
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/** md */
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ty_Ex(Int(_)) = INT().
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ty_Ex(LitString(_)) = STRING().
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ty_Ex(e@Stream()) = STREAM().
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/* **/
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/** md
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```
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Finally we get to the binary operators, and here we use the pattern found in
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recent versions of the
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"[chicago](https://github.com/MetaBorgCube/statix-sandbox/tree/master/chicago)"
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example language and in the Fall 2020 TU-Delft class lecture on
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[Name Binding and Name Resolution](https://tudelft-cs4200-2020.github.io/lectures/2020/09/24/lecture5/).
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This pattern lets us specify error messages.
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```statix
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**/
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/** md */
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ty_Ex(Sum(e1, e2)) = INT() :-
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type_Ex(e1) == INT() | error $[Expression [e1] not an Int in sum.]@e1,
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type_Ex(e2) == INT() | error $[Expression [e2] not an Int in sum.]@e2.
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ty_Ex(Gets(e1, e2)) = STREAM() :- {T}
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type_Ex(e1) == STREAM() | error $[Only Streams may receive items.]@e1,
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type_Ex(e2) == T.
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ty_Ex(To(e1, e2)) = T :-
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type_Ex(e1) == T,
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type_Ex(e2) == STREAM() | error $[Items may only be sent to Streams.]@e2.
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/* **/
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/** md
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```
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### Using type annotations in transformation
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At this point, Statix properly types all of the valid programs of the very
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rudimentary language defined by the grammar above. But the proximate purpose
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for implementing this typing was to aid Haskell code generation. So how
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do we actually use the assigned types in a Stratego transformation?
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Statix provides a Stratego api that includes, among other items, strategies
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`stx-get-ast-analysis` and `stx-get-ast-type(|analysis)` that provide access
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to the assigned types. However, it's easiest to use the information via
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a wrapper like this, essentially lifted from the "chicago" language project:
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```stratego
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{! analysis.str extract:
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start: Extract.the.type
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terminate: Prints.the.analyzed.type
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!}
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```
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Now `get_type` run on a node of the analyzed AST produces the assigned `TYPE`
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(as an ATerm in the constructors of sort TYPE in Statix).
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Thus, you can select on the assigned type, as in the strategy to select
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the correct Haskell operator to use to send an item to standard output:
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```stratego
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{! haskell.str extract:
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start: '(.*hs_getOp.=.*)'
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stop: \s
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!}
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```
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**/
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rules // multi-file entry point
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