ProgTutorial/Recipes/Antiquotes.thy
author Norbert Schirmer <norbert.schirmer@web.de>
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theory Antiquotes
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imports "../Appendix"
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begin
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section {* Useful Document Antiquotations\label{rec:docantiquotations} *}
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text {*
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  {\bf Problem:} 
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  How to keep your ML-code inside a document synchronised with the actual code?\smallskip
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  {\bf Solution:} This can be achieved with document antiquotations.\smallskip
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  Document antiquotations can be used for ensuring consistent type-setting of
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  various entities in a document. They can also be used for sophisticated
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  \LaTeX-hacking. If you type on the Isabelle level
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*}
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print_antiquotations
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text {*
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  you obtain a list of all currently available document antiquotations and
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  their options.  
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  Below we will give the code for two additional document
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  antiquotations both of which are intended to typeset ML-code. The crucial point
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  of these document antiquotations is that they not just print the ML-code, but also 
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  check whether it compiles. This will provide a sanity check for the code
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  and also allows you to keep documents in sync with other code, for example
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  Isabelle.
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  We first describe the antiquotation @{text "ML_checked"} with the syntax:
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  @{text [display] "@{ML_checked \"a_piece_of_code\"}"}
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  The code is checked by sending the ML-expression @{text [quotes] "val _ =
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  a_piece_of_code"} to the ML-compiler (i.e.~the function @{ML
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  "ML_Context.eval_source_in"} in Line 7 below). The complete code of the
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  document antiquotation is as follows:
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*}
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ML \<open>Input.pos_of\<close>
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ML%linenosgray{*fun ml_enclose bg en source =
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  ML_Lex.read bg @ ML_Lex.read_source false source @ ML_Lex.read en;*}
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ML%linenosgray{*fun ml_val code_txt = (ml_enclose "val _ = " "" code_txt)
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fun output_ml ctxt code_txt =
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let
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  val _ = ML_Context.eval_in (SOME ctxt) ML_Compiler.flags (Input.pos_of code_txt) (ml_val code_txt)
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in 
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   Pretty.str (Input.source_content code_txt)
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end
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val ml_checked_setup = Thy_Output.antiquotation_pretty_source @{binding "ML_checked"} (Scan.lift Args.text_input) output_ml*}
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setup {* ml_checked_setup *}
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text {*
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  The parser @{ML "(Scan.lift Args.name)"} in Line 7 parses a string, in this
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  case the code, and then calls the function @{ML output_ml}. As mentioned
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  before, the parsed code is sent to the ML-compiler in Line 4 using the
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  function @{ML ml_val}, which constructs the appropriate ML-expression, and
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  using @{ML "eval_in" in ML_Context}, which calls the compiler.  If the code is
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  ``approved'' by the compiler, then the output function @{ML "output" in
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  Document_Antiquotation} in the next line pretty prints the code. This function expects
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  that the code is a list of (pretty)strings where each string correspond to a
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  line in the output. Therefore the use of @{ML "(space_explode \"\\n\" txt)"
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  for txt} which produces such a list according to linebreaks.  There are a
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  number of options for antiquotations that are observed by the function 
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  @{ML "output" in Document_Antiquotation} when printing the code (including @{text "[display]"} 
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  and @{text "[quotes]"}). The function @{ML "antiquotation_raw" in Thy_Output} in 
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  Line 7 sets up the new document antiquotation.
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  \begin{readmore}
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  For more information about options of document antiquotations see \rsccite{sec:antiq}).
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  \end{readmore}
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  Since we used the argument @{ML "Position.none"}, the compiler cannot give specific 
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  information about the line number, in case an error is detected. We 
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  can improve the code above slightly by writing 
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*}
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(* FIXME: remove
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ML%linenosgray{*fun output_ml ctxt (code_txt, pos) =
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let
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  val srcpos = {delimited = false, pos = pos, text = ml_val code_txt}
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in
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  (ML_Context.eval_source_in (SOME ctxt) ML_Compiler.flags srcpos;
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   code_txt 
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   |> space_explode "\n"
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   |> map Pretty.str
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   |> Pretty.list "" ""
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   |> Document_Antiquotation.output ctxt
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   |> Latex.string)
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end
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val ml_checked_setup2 = Thy_Output.antiquotation @{binding "ML_checked2"}
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         (Scan.lift (Parse.position Args.name)) output_ml *}
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setup {* ml_checked_setup2 *}
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*)
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text {*
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  where in Lines 1 and 2 the positional information is properly treated. The
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  parser @{ML Parse.position} encodes the positional information in the 
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  result.
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  We can now write @{text "@{ML_checked2 \"2 + 3\"}"} in a document in order to
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  obtain @{ML_checked "2 + 3"} and be sure that this code compiles until
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  somebody changes the definition of addition.
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  The second document antiquotation we describe extends the first by a pattern
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  that specifies what the result of the ML-code should be and checks the
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  consistency of the actual result with the given pattern. For this we are
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  going to implement the document antiquotation:
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  @{text [display] "@{ML_resp \"a_piece_of_code\" \"a_pattern\"}"}
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  To add some convenience and also to deal with large outputs, the user can
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  give a partial specification by using ellipses. For example @{text "(\<dots>, \<dots>)"}
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  for specifying a pair.  In order to check consistency between the pattern
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  and the output of the code, we have to change the ML-expression that is sent 
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  to the compiler: in @{text "ML_checked2"} we sent the expression @{text [quotes]
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  "val _ = a_piece_of_code"} to the compiler; now the wildcard @{text "_"}
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  must be be replaced by the given pattern. However, we have to remove all
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  ellipses from it and replace them by @{text [quotes] "_"}. The following 
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  function will do this:
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*}
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ML%linenosgray{*fun ml_pat pat code =
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  ML_Lex.read "val" @ ML_Lex.read_source false pat @ ML_Lex.read " = " @ ML_Lex.read_source false code*}
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(*
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ML %grayML{*fun ml_pat code_txt pat =
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let val pat' = 
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         implode (map (fn "\<dots>" => "_" | s => s) (Symbol.explode pat))
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in 
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  ml_enclose ("val " ^ pat' ^ " = ") "" code_txt 
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end*}
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*)
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text {* 
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  Next we add a response indicator to the result using:
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*}
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ML %grayML{*fun add_resp pat = map (fn s => "> " ^ s) pat*}
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text {* 
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  The rest of the code of @{text "ML_resp"} is: 
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*}
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ML %linenosgray\<open>
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fun output_ml_resp ctxt (code_txt, pat) =
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let
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  val _ = ML_Context.eval_in (SOME ctxt) ML_Compiler.flags (Input.pos_of code_txt) (ml_pat pat code_txt)
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  val code = space_explode "\n" (Input.source_content code_txt)
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  val resp = add_resp (space_explode "\n" (Input.source_content pat))
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in 
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   Pretty.str (cat_lines (code @ resp))
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end
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val ml_response_setup = Thy_Output.antiquotation_pretty_source @{binding "ML_resp"} (Scan.lift (Args.text_input -- Args.text_input)) output_ml_resp
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\<close>
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(*
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ML %linenosgray{*fun output_ml_resp {context = ctxt, ...} ((code_txt, pat), pos) = 
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  (let
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     val srcpos = {delimited = false, text = ml_pat (code_txt, pat), pos = pos}
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   in
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     ML_Context.eval_source_in (SOME ctxt) ML_Compiler.flags srcpos 
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   end;
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   let 
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     val code_output = space_explode "\n" code_txt 
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     val resp_output = add_resp (space_explode "\n" pat)
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   in 
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     Thy_Output.output ctxt (map Pretty.str (code_output @ resp_output)) 
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   end)
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val ml_resp_setup = Thy_Output.antiquotation @{binding "ML_resp"} 
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          (Scan.lift (Parse.position (Args.text_input -- Args.text_input))) 
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             output_ml_resp*}
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*)
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setup {* ml_response_setup *}
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(* FIXME *)
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text {* 
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  In comparison with @{text "ML_checked"}, we only changed the line about 
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  the compiler (Line~2), the lines about
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  the output (Lines 4 to 7) and the parser in the setup (Line 11). Now 
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  you can write
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  @{text [display] "@{ML_resp [display] \"true andalso false\" \"false\"}"}
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  to obtain
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  @{ML_resp [display] "true andalso false" "false"} 
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  or 
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  @{text [display] "@{ML_resp [display] \"let val i = 3 in (i * i, \"foo\") end\" \"(9, \<dots>)\"}"}
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  to obtain
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  @{ML_resp [display] "let val i = 3 in (i * i, \"foo\") end" "(9, _)"} 
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  In both cases, the check by the compiler ensures that code and result
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  match. A limitation of this document antiquotation, however, is that the
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  pattern can only be given for values that can be constructed. This excludes
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  values that are abstract datatypes, like @{ML_type thm}s and @{ML_type cterm}s.
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*}
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end