HELP MLINPOP                                    Simon Nichols, June 1988
                                          Revised Rob Duncan, April 1990
                                                   Revised November 1994

Mixed-language programming in ML and Pop-11.


         CONTENTS - (Use <ENTER> g to access required sections)

  1   Introduction

  2   Health Warning

  3   Pop-11 Representation of ML Data

  4   Functions

  5   Importing ML Values into Pop-11

  6   Special Procedures and Values

  7   Exceptions

  8   Declaring ML Identifiers in Pop-11


-----------------------------------------------------------------------
1  Introduction
-----------------------------------------------------------------------

This file describes the facilities available for writing mixed-language
programs in ML and Pop-11. Currently, the ML/Pop-11 interface is the
only mixed-language interface directly supported by PML. It is hoped
that other languages (Prolog, for example) will be supported in the
future. However, any such additions will be based on the facilities
described here, so this can be considered as the core external interface
and a thorough understanding of it will be useful for any mixed-language
programming involving ML.


-----------------------------------------------------------------------
2  Health Warning
-----------------------------------------------------------------------

Mixed-language programming in ML can be dangerous. ML supports a static
(compile-time) type-checking discipline; Pop-11 by contrast employs
dynamic (run-time) checks. Programming exclusively in either language is
"safe" in that any errors which do occur are sensibly handled by the
appropriate type-checking mechanism. However, because ML programs are
statically checked, the code generated from them can omit many of the
run-time checks relied upon by Pop-11: calling a function from Pop-11
which was compiled in ML can bypass both sets of checks and generate
errors which will not be sensibly handled. Such errors could (in an
extreme case) crash your Poplog system.

Be warned, and pay attention to the typing rules discussed below.


-----------------------------------------------------------------------
3  Pop-11 Representation of ML Data
-----------------------------------------------------------------------

To be able to transfer data between languages, it's important to know
how ML values are represented in Pop-11. There are three broad
categories of possible data representation, classified according to the
method of access from Pop-11:

    ______simple
        the ML type has an exact (and guaranteed) representation in
        Pop-11; standard Pop-11 procedures can be used to inspect,
        create and decompose such data

    _______special
        the representation is typically straightforward, but not
        guaranteed to remain unchanged in future versions of the ML
        compiler; special Pop-11 procedures are provided for the safe
        manipulation of such types

    _______private
        the representation is sufficiently opaque as to be effectively
        unrecognisable to Pop-11; functions for manipulating such types
        must be written in ML and imported into Pop-11

The following table summarises the representations for all ML types:

                -----------------------------------------
                | ML Type    |  Pop-11 Type  |  Class   |
                |------------+---------------+----------|
                | int        |  integral     |  simple  |
                | real       |  ddecimal     |  simple  |
                | string     |  string       |  simple  |
                | bool       |  boolean      |  simple  |
                | list       |  list         |  simple  |
                | function   |  procedure    |  simple  |
                |            |               |          |
                | unit       |  any          |  special |
                | tuple      |  pair/vector  |  special |
                | ref        |  ref/ident    |  special |
                | vector     |  vector       |  special |
                | array      |  vectorclass  |  special |
                | instream   |  recordclass  |  special |
                | outstream  |  recordclass  |  special |
                | exn        |  recordclass  |  special |
                |            |               |          |
                | record     |  -            |  private |
                | datatype   |  -            |  private |
                -----------------------------------------

Values of ______simple types may be freely exchanged between ML and Pop-11
without conversion, but the following points should be born in mind:

    (1) ML integers may be Pop-11 integers or bigintegers, so you
        shouldn't in general use fast integer operations on them.

    (2) ML reals are double decimals. You should normally have
        *popdprecision set <true> when computing real numbers to be
        given to an ML program.

    (3) ML lists are non-dynamic. Never pass a dynamic list to an ML
        program: use *expandlist first if you're not sure.

Functions are discussed in more detail later.

Values of _______special types should be created and accessed only using the
collection of special values and procedures described in a later
section. Don't try to second-guess the compiler and make assumptions
about how data is represented: even if you're right, it may change in a
future version.

The _______private types are the record types and user-defined datatypes. There
is currently no way to safely manipulate ML record and datatype values
from Pop-11 except via functions defined in ML and imported into Pop-11
(using ml_valof described below). The reason for this is that the ML
compiler has a degree of flexibility in deciding exactly how values of
such types should be represented. The strategies used are complex, and
liable to change in future versions of PML. Hence the representations
have to be kept secret from Pop-11.

As a concrete example, take the ML datatype

    datatype 'a tree =
        NULL
    |   NODE of {left: 'a tree, value: 'a, right: 'a tree};

for which we might define functions such as

    fun isNULL NULL = true
    |   isNULL _    = false

    and consNODE l v r = NODE(l, v, r)

    and NODE_left (NODE{left, ...}) = left
    |   NODE_left NULL = raise NodeAccess

    etc.

which could than be made available to Pop-11. For large datatypes, the
range of functions to define and import can get tediously lengthy: it is
intended that there should be some new Pop-11 syntax word (analogous to
recordclass) which will simplify the process in a future release of PML.

There is one potentially useful function which cannot be written: the
function istree which distinguishes a tree from a value of any other
type. Not only can such a function not be written in ML, it can't be
written at all: the ML compiler is free to use the identical
representation for trees as it uses for any other type, making it
impossible to distinguish a tree at run-time. A consequence of this is
that you must structure your programs so that the types of values passed
to Pop-11 procedures are always known.


-----------------------------------------------------------------------
4  Functions
-----------------------------------------------------------------------

The basic correspondence between ML functions and Pop-11 procedures is
quite straightforward: an ML function of type

    ____ty_1 -> ... -> ____ty_n -> __ty       (* _______curried style *)

or

    (____ty_1 * ... * ____ty_n) -> __ty       (* ______tupled style *)

is implemented as a Pop-11 procedure

    procedure(_____arg_1, ..., _____arg_n) -> ___res

There is a complication when _n is greater than 1. This basic procedure
-- the so-called "unwrapped" version -- can only be applied when all the
arguments are known at compile-time. So the ML compiler generates a
second ("wrapped") version which can be applied more generally and which
can be passed as an argument to other functions, etc. For example,
consider the following curried function in ML:

    fun contains []      _ = false
    |   contains (x::xs) y = x = y orelse contains xs y

This would be compiled into the two procedures:

    define unwrapped_contains(xs, y);
        lvars xs, y;
        if null(xs) then
            false;
        else
            hd(xs) = y or unwrapped_contains(tl(xs), y);
        endif;
    enddefine;

    define wrapped_contains(xs);
        lvars xs;
        procedure(y);
            lvars y;
            unwrapped_contains(xs, y);
        endprocedure;
    enddefine;

It's the unwrapped version which has the obvious Pop-11 definition, and
which can be called whenever both arguments are available immediately.
The wrapped version collects its arguments in two steps, transferring to
the unwrapped procedure only when both have been obtained. This is used
for closure building, as in:

    val isdigit = contains (explode "0123456789");

The unwrapped version of an ML function is usually the most useful when
called from Pop-11, but this version should NEVER be passed back to ML:
if you're passing a functional parameter to an ML function, always pass
the wrapped version. Both wrapped and unwrapped versions of functions
can be obtained with ml_valof described below.

The same principle holds for tupled functions: the alternative
definition

    fun contains([],    _) = false
    |   contains(x::xs, y) = x = y orelse contains(xs, y)

would generate the same unwrapped version as before (so the one Pop-11
procedure will match both ML definitions) but a different wrapped
version which expects its arguments in a tuple:

    define wrapped_contains(args);
        lvars args;
        unwrapped_contains(
            ml_subscrtuple(1, args),
            ml_subscrtuple(2, args));
    enddefine;

Remember that every function in ML must take at least one argument and
return exactly one result. Pop-11 procedures which take no arguments or
return no results have to be massaged to accept or return unit values
when passed into ML. Multiple results are not supported at all: use a
tuple or other structure instead.


-----------------------------------------------------------------------
5  Importing ML Values into Pop-11
-----------------------------------------------------------------------

Regardless of type, the value of an ML identifier can be imported into a
Pop-11 program using the procedure ml_valof (described next). What you
can safely do with such a value depends of course on the representation
class of its type, as described above.


ml_valof(____mlid) -> ____item                                       [_________procedure]
ml_valof(____mlid, ____bool) -> ____item
        Returns  the  value   of  an  ML   identifier  in  the   current
        environment. ____mlid may be a short  identifier (a word) or a  long
        identifier encoded as a string, e.g.

            ml_valof("+") =>
            ** <procedure +>

            ml_valof('System.version') =>
            ** <ident [Standard ML (Version 2.0)]>

        The identifier  must have  been declared  in ML  as a  variable,
        value constructor  or  exception,  since the  value  of  a  type
        constructor or module  name has no  meaning to Pop-11.  Function
        values with arity greater than 1 are returned unwrapped,  unless
        ____bool is given as <true>. If the given identifier is not defined,
        the word "undef" is returned.

        The  ``current   environment''   normally   means   the   global
        (top-level)  environment.   However,  inside   an   ml_structure
        construct (see below)  it is possible  to get at  the values  of
        locally-defined  names  by  calling  ml_valof  at  compile  time
        (inside  an  lconstant  declaration,  or  between  #_<  ...  >_#
        brackets).


ml_wrapped_valof(____mlid) -> ____item                               [_________procedure]
        Like ml_valof above,  but for functions  whose arity is  greater
        than 1,  returns  the  "wrapped"  rather  than  the  "unwrapped"
        version. Equivalent to

            ml_valof(____mlid, true)



-----------------------------------------------------------------------
6  Special Procedures and Values
-----------------------------------------------------------------------

For creating and decomposing values of _______special types.


ml_unit                                                       [________constant]
        Unique value used to represent the value of type unit.


ml_constuple(______item_1, ..., ______item_n, _n) -> _____tuple                [_________procedure]
        Constructs a tuple of length _n from items on the stack.


ml_desttuple(_____tuple) -> _n -> ______item_n ... -> ______item_1             [_________procedure]
        Destructs a  tuple,  returning all  its  elements on  the  stack
        together with its length (the inverse of ml_constuple).


ml_subscrtuple(_n, _____tuple) -> ____item                             [_________procedure]
____item -> ml_subscrtuple(_n, _____tuple)
        Returns or updates the _n-th element of a _____tuple.


ml_consref(____item) -> ___ref                                      [_________procedure]
        Constructs an ML reference to the given ____item.


ml_cont(___ref) -> ____item                                         [_________procedure]
____item -> ml_cont(___ref)
        Returns or updates the contents of  an ML reference (like !  and
        := in ML).


ml_consvector(______item_1, ..., ______item_n, _n) -> ______vector              [_________procedure]
        Constructs an ML ______vector of length _n from items on the stack.


ml_destvector(______vector) -> _n -> ______item_n -> ... -> ______item_1        [_________procedure]
        Destructs an ML ______vector, returning all its elements on the  stack
        together with its length (the inverse of ml_consvector).


ml_subscrvector(_n, ______vector) -> ____item                           [_________procedure]
____item -> ml_subscrvector(_n, ______vector)
        Returns or updates  the _n-th  element of  an ML  ______vector.  NB: to
        conform to normal Pop-11 practice,  the index value _n must be in
        the range

            1 <= _n <= length(______vector)

        This is despite the fact that vectors in ML are indexed from 0.


ml_consarray(______item_1, ..., ______item_n, _n) -> _____array                [_________procedure]
        Constructs an ML _____array of length _n from items on the stack.


ml_destarray(_____array) -> _n -> ______item_n -> ... -> ______item_1          [_________procedure]
        Destructs an ML _____array, returning  all its elements on the  stack
        together with its length (the inverse of ml_consarray).


ml_subscrarray(_n, _____array) -> ____item                             [_________procedure]
____item -> ml_subscrarray(_n, _____array)
        Returns or  updates the  _n-th element  of an  ML _____array.  NB:  to
        conform to normal Pop-11 practice,  the index value _n must be in
        the range

            1 <= _n <= length(______vector)

        This is despite the fact that arrays in ML are indexed from 0.


ml_instream(______source) -> ________instream                              [_________procedure]
        Constructs an ML input  stream from ______source which  may be a  file
        name (string or word) a character repeater procedure or an input
        device.


ml_instream_producer(________instream) -> _______charrep                    [_________procedure]
        Constructs a  character repeater  procedure from  ________instream.  The
        characters returned  by the  repeater  are exactly  those  which
        would be returned by the ML input function applied to  ________instream.
        The repeater also has an  updater, which will accept  characters
        or strings to be put back onto the input stream.


ml_outstream(____sink) -> _________outstream                              [_________procedure]
        Constructs an ML  output stream from ____sink  which may  be a  file
        name (string  or  word) a  character  consumer procedure  or  an
        output device.


ml_outstream_consumer(_________outstream) -> _______charcon                  [_________procedure]
        Constructs  a  character  consumer  procedure  from   _________outstream.
        Characters output on _______charcon  will be properly interleaved  with
        any characters output on _________outstream using the ML output function;
        <termin> can be used to close the output stream.



-----------------------------------------------------------------------
7  Exceptions
-----------------------------------------------------------------------

Exception values have their own recordclass structure called a ______packet.
You can't create packet records directly, but you can get hold of ML
exception constructors by using ml_valof, as in:

    constant InterruptExn = ml_valof("Interrupt");

    InterruptExn =>
    ** <packet Interrupt>

Where the exception constructor requires an argument, you must apply the
value to an argument of the appropriate type in order to construct a
valid packet:

    constant procedure IoExn = ml_valof("Io");

    IoExn =>
    ** <procedure conspacket>

    IoExn('No message') =>
    ** <packet Io("No message")>

Exception packets can be raised and handled with the following
procedures:


ml_raise(______packet)                                             [_________procedure]
        Raises an exception ______packet. When  called from a Pop-11  context,
        this will normally mishap with a message

            MISHAP - UNCAUGHT EXCEPTION

        From ML however, the exception  will be properly raised and  may
        be handled  in  the  conventional way  (or  by  using  ml_handle
        described next).


ml_handle(_p, _____excon, _________handler_p)                               [_________procedure]
        Applies the  procedure _p  inside an  exception handler  for  the
        exception constructor _____excon. _p should  be a procedure taking  no
        arguments; if it returns normally, any result it returns is  the
        result of  the call  to  ml_handle. If  an exception  packet  is
        raised during  the evaluation  of  _p whose  constructor  matches
        _____excon, the procedure _________handler_p is  called and its result is  the
        result of the whole evaluation.  If the pdnargs of _________handler_p  is
        greater than zero, any value carried by the exception packet  is
        pushed on the stack before _________handler_p is called.



-----------------------------------------------------------------------
8  Declaring ML Identifiers in Pop-11
-----------------------------------------------------------------------

The most powerful part of the mixed-language interface allows new
identifiers to be added into the ML environment directly from Pop-11,
where the values of the identifiers are computed from arbitrary Pop-11
code. The method uses new syntax words

    ml_val ml_type ml_exception ml_structure

which mirror the corresponding declaration forms in ML.

These syntax words are only available at execute level (i.e., not inside
procedures).


ml_val                                                          [______syntax]
        Declares a new ML variable:

            ml_val ___var : ____type = __________expression

        This adds a new variable ___var  into the current environment  with
        the given ____type, and a value computed as the result of the Pop-11
        __________expression.

        Examples:

            ml_val x : int = 3;

            ml_val l : int list = [% repeat 10 times 3 endrepeat %];

        The __________expression must  return exactly one  result. A very  limited
        amount of type-checking is done to see whether the structure  of
        the value matches the declared ____type, but this will catch  only a
        very few errors.  After that, the  ML compiler will  take it  on
        trust that the type is correct. You should be very careful  that
        the value is properly constructed according to the typing  rules
        discussed above.

        For functions, the value should  be the unwrapped form which  is
        the more  natural  to write  in  Pop-11. The  ML  compiler  will
        automatically construct a wrapped form if needed. This relies on
        the pdnargs of  the function  value to work  correctly, so  make
        sure this is properly set.

        Example:

            ml_val stringin : string -> instream =
            procedure(s) with_props stringin;
                lvars s;
                ml_instream(stringin(s));
            endprocedure;


ml_type                                                         [______syntax]
        Declares a new abstract type in ML:

            ml_type _________tyvar-seq _____tycon

        This  adds  a  new  type  constructor  _____tycon  into  the  current
        environment with arity given by the length of the type  variable
        sequence. The type  is abstract: it  has no value  constructors,
        and there are no values or functions predefined for it. To be of
        any use, an  appropriate set of  functions on the  type must  be
        defined in Pop-11 and exported using ml_val.

        Example:

            ml_type symbol;

            ml_val symbol : string -> symbol = consword;

            ml_val string : symbol -> string = word_string;

        This defines a new ML type symbol with functions for  converting
        between symbols and  strings. Symbols are  simply Pop-11  words:
        this is implicit in the definitions of the conversion functions,
        but is obviously  unknown to  the ML compiler.  This means  that
        anything declared  from Pop-11  to be  of type  symbol can't  be
        checked by the compiler, and must be taken on trust.


ml_eqtype                                                       [______syntax]
        Like ml_type, but the new  type constructor is assumed to  admit
        equality. This  will be  implemented in  terms of  the  standard
        Pop-11 equality procedure "=".


ml_exception                                                    [______syntax]
        Declares a new ML exception constructor:

            ml_exception _____excon

        or

            ml_exception _____excon of ____type

        The effect of this is identical to declaring an exception in ML.
        It is provided only for convenience.


ml_structure                                                    [______syntax]
        Declares a new ML structure:

            ml_structure _____strid : ______sigexp = struct
                ____body
            ml_endstructure

        This defines a new structure with name _____strid and signature given
        by ______sigexp (the  signature constraint is  optional). The body  of
        the structure  is  a Pop-11  statement  sequence: this  will  be
        executed as  normal,  except  that any  occurrences  of  ml_val,
        ml_type, etc. are interpreted such  that the names they  declare
        are added  into the  new structure  environment instead  of  the
        global (top-level)  environment. The  complete set  of names  so
        declared must match the given signature.

        Example:

            ml_structure Symbol : Symbol = struct
                ml_type symbol;
                ml_val symbol : string -> symbol = consword;
                ml_val string : symbol -> string = word_string;
            ml_endstructure;

        This assumes a prior definition of the signature Symbol in ML:

            signature Symbol = sig
                type symbol
                val symbol : string -> symbol
                val string : symbol -> string
            end

        Structures may be nested. There's also a simple renaming form:

            ml_structure _____strid : ______sigexp = ______strid'

        which allows  existing  structures  (declared either  in  ML  or
        Pop-11) to be included as subcomponents.



--- ______________________C.all/pml/help/mlinpop
--- _________Copyright __________University __of ______Sussex _____1994. ___All ______rights _________reserved.
