391 lines
13 KiB
Markdown
391 lines
13 KiB
Markdown
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@ingroup extensions
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YAP supports attributed variables, originally developed at OFAI by
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Christian Holzbaur. Attributes are a means of declaring that an
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arbitrary term is a property for a variable. These properties can be
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updated during forward execution. Moreover, the unification algorithm is
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aware of attributed variables and will call user defined handlers when
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trying to unify these variables.
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Attributed variables provide an elegant abstraction over which one can
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extend Prolog systems. Their main application so far has been in
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implementing constraint handlers, such as Holzbaur's CLPQR, Fruewirth
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and Holzbaur's CHR, and CLP(BN).
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Different Prolog systems implement attributed variables in different
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ways. Originally, YAP used the interface designed by SICStus
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Prolog. This interface is still
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available through the <tt>atts</tt> library, and is used by CLPBN.
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From YAP-6.0.3 onwards we recommend using the hProlog, SWI style
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interface. We believe that this design is easier to understand and
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work with. Most packages included in YAP that use attributed
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variables, such as CHR, CLP(FD), and CLP(QR), rely on the SWI-Prolog
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interface.
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+ @ref SICS_attributes
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+ @ref sicsatts
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+ @ref New_Style_Attribute_Declarations
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+ @ref AttributedVariables_Builtins
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+ @ref attscorouts
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### SICStus Style attribute declarations. {#SICS_attributes}
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The YAP library `atts` implements attribute variables in the style of
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SICStus Prolog. Attributed variables work as follows:
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+ Each attribute must be declared beforehand. Attributes are described
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as a functor with name and arity and are local to a module. Each
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Prolog module declares its own sets of attributes. Different modules
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may have attributes with the same name and arity.
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+ The built-in put_atts/2 adds or deletes attributes to a
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variable. The variable may be unbound or may be an attributed
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variable. In the latter case, YAP discards previous values for the
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attributes.
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+ The built-in get_atts/2 can be used to check the values of
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an attribute associated with a variable.
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+ The unification algorithm calls the user-defined predicate
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verify_attributes/3 before trying to bind an attributed
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variable. Unification will resume after this call.
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+ The user-defined predicate
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<tt>attribute_goal/2</tt> converts from an attribute to a goal.
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+ The user-defined predicate
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<tt>project_attributes/2</tt> is used from a set of variables into a set of
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constraints or goals. One application of <tt>project_attributes/2</tt> is in
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the top-level, where it is used to output the set of
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floundered constraints at the end of a query.
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Attributes are compound terms associated with a variable. Each attribute
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has a <em>name</em> which is <em>private</em> to the module in which the
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attribute was defined. Variables may have at most one attribute with a
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name. Attribute names are defined through the following declaration:
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~~~~~
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:- attribute AttributeSpec, ..., AttributeSpec.
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~~~~~
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where each _AttributeSpec_ has the form ( _Name_/ _Arity_).
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One single such declaration is allowed per module _Module_.
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Although the YAP module system is predicate based, attributes are local
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to modules. This is implemented by rewriting all calls to the
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built-ins that manipulate attributes so that attribute names are
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preprocessed depending on the module. The `user:goal_expansion/3`
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mechanism is used for this purpose.
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The attribute manipulation predicates always work as follows:
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+ The first argument is the unbound variable associated with
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attributes,
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+ The second argument is a list of attributes. Each attribute will
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be a Prolog term or a constant, prefixed with the <tt>+</tt> and <tt>-</tt> unary
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operators. The prefix <tt>+</tt> may be dropped for convenience.
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The following three procedures are available to the user. Notice that
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these built-ins are rewritten by the system into internal built-ins, and
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that the rewriting process <em>depends</em> on the module on which the
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built-ins have been invoked.
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The user-predicate predicate verify_attributes/3 is called when
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attempting to unify an attributed variable which might have attributes
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in some _Module_.
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Attributes are usually presented as goals. The following routines are
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used by built-in predicates such as call_residue/2 and by the
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Prolog top-level to display attributes:
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Constraint solvers must be able to project a set of constraints to a set
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of variables. This is useful when displaying the solution to a goal, but
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may also be used to manipulate computations. The user-defined
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project_attributes/2 is responsible for implementing this
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projection.
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The following examples are taken from the SICStus Prolog
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manual. The sketches the implementation of a simple finite domain
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`solver`. Note that an industrial strength solver would have to
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provide a wider range of functionality and that it quite likely would
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utilize a more efficient representation for the domains proper. The
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module exports a single predicate `domain( _-Var_, _?Domain_)` which
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associates _Domain_ (a list of terms) with _Var_. A variable can be
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queried for its domain by leaving _Domain_ unbound.
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We do not present here a definition for project_attributes/2.
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Projecting finite domain constraints happens to be difficult.
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~~~~~
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:- module(domain, [domain/2]).
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:- use_module(library(atts)).
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:- use_module(library(ordsets), [
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ord_intersection/3,
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ord_intersect/2,
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list_to_ord_set/2
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]).
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:- attribute dom/1.
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verify_attributes(Var, Other, Goals) :-
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get_atts(Var, dom(Da)), !, % are we involved?
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( var(Other) -> % must be attributed then
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( get_atts(Other, dom(Db)) -> % has a domain?
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ord_intersection(Da, Db, Dc),
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Dc = [El|Els], % at least one element
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( Els = [] -> % exactly one element
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Goals = [Other=El] % implied binding
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; Goals = [],
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put_atts(Other, dom(Dc))% rescue intersection
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)
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; Goals = [],
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put_atts(Other, dom(Da)) % rescue the domain
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)
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; Goals = [],
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ord_intersect([Other], Da) % value in domain?
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).
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verify_attributes(_, _, []). % unification triggered
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% because of attributes
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% in other modules
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attribute_goal(Var, domain(Var,Dom)) :- % interpretation as goal
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get_atts(Var, dom(Dom)).
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domain(X, Dom) :-
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var(Dom), !,
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get_atts(X, dom(Dom)).
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domain(X, List) :-
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list_to_ord_set(List, Set),
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Set = [El|Els], % at least one element
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( Els = [] -> % exactly one element
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X = El % implied binding
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; put_atts(Fresh, dom(Set)),
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X = Fresh % may call
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% verify_attributes/3
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).
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~~~~~
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Note that the _implied binding_ `Other=El` was deferred until after
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the completion of `verify_attribute/3`. Otherwise, there might be a
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danger of recursively invoking `verify_attribute/3`, which might bind
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`Var`, which is not allowed inside the scope of `verify_attribute/3`.
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Deferring unifications into the third argument of `verify_attribute/3`
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effectively serializes the calls to `verify_attribute/3`.
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Assuming that the code resides in the file domain.yap, we
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can use it via:
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~~~~~
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| ?- use_module(domain).
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~~~~~
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Let's test it:
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~~~~~
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| ?- domain(X,[5,6,7,1]), domain(Y,[3,4,5,6]), domain(Z,[1,6,7,8]).
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domain(X,[1,5,6,7]),
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domain(Y,[3,4,5,6]),
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domain(Z,[1,6,7,8]) ?
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yes
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| ?- domain(X,[5,6,7,1]), domain(Y,[3,4,5,6]), domain(Z,[1,6,7,8]),
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X=Y.
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Y = X,
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domain(X,[5,6]),
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domain(Z,[1,6,7,8]) ?
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yes
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| ?- domain(X,[5,6,7,1]), domain(Y,[3,4,5,6]), domain(Z,[1,6,7,8]),
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X=Y, Y=Z.
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X = 6,
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Y = 6,
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Z = 6
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~~~~~
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To demonstrate the use of the _Goals_ argument of
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verify_attributes/3, we give an implementation of
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freeze/2. We have to name it `myfreeze/2` in order to
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avoid a name clash with the built-in predicate of the same name.
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~~~~~
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:- module(myfreeze, [myfreeze/2]).
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:- use_module(library(atts)).
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:- attribute frozen/1.
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verify_attributes(Var, Other, Goals) :-
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get_atts(Var, frozen(Fa)), !, % are we involved?
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( var(Other) -> % must be attributed then
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( get_atts(Other, frozen(Fb)) % has a pending goal?
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-> put_atts(Other, frozen((Fa,Fb))) % rescue conjunction
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; put_atts(Other, frozen(Fa)) % rescue the pending goal
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),
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Goals = []
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; Goals = [Fa]
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).
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verify_attributes(_, _, []).
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attribute_goal(Var, Goal) :- % interpretation as goal
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get_atts(Var, frozen(Goal)).
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myfreeze(X, Goal) :- put_atts(Fresh, frozen(Goal)), Fresh = X. ~~~~~
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Assuming that this code lives in file myfreeze.yap,
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we would use it via:
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~~~~~
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| ?- use_module(myfreeze).
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| ?- myfreeze(X,print(bound(x,X))), X=2.
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bound(x,2) % side effect
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X = 2 % bindings
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~~~~~
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The two solvers even work together:
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~~~~~
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| ?- myfreeze(X,print(bound(x,X))), domain(X,[1,2,3]),
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domain(Y,[2,10]), X=Y.
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bound(x,2) % side effect
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X = 2, % bindings
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Y = 2
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~~~~~
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The two example solvers interact via bindings to shared attributed
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variables only. More complicated interactions are likely to be found
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in more sophisticated solvers. The corresponding
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verify_attributes/3 predicates would typically refer to the
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attributes from other known solvers/modules via the module prefix in
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Module:get_atts/2`.
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@}
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@{
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### hProlog and SWI-Prolog style Attribute Declarations {#New_Style_Attribute_Declarations}
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The following documentation is taken from the SWI-Prolog manual.
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Binding an attributed variable schedules a goal to be executed at the
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first possible opportunity. In the current implementation the hooks are
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executed immediately after a successful unification of the clause-head
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or successful completion of a foreign language (built-in) predicate. Each
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attribute is associated to a module and the hook attr_unify_hook/2 is
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executed in this module. The example below realises a very simple and
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incomplete finite domain reasoner.
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~~~~~
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:- module(domain,
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[ domain/2 % Var, ?Domain %
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]).
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:- use_module(library(ordsets)).
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domain(X, Dom) :-
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var(Dom), !,
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get_attr(X, domain, Dom).
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domain(X, List) :-
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list_to_ord_set(List, Domain),
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v put_attr(Y, domain, Domain),
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X = Y.
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% An attributed variable with attribute value Domain has been %
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% assigned the value Y %
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attr_unify_hook(Domain, Y) :-
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( get_attr(Y, domain, Dom2)
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-> ord_intersection(Domain, Dom2, NewDomain),
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( NewDomain == []
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-> fail
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; NewDomain = [Value]
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-> Y = Value
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; put_attr(Y, domain, NewDomain)
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)
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; var(Y)
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-> put_attr( Y, domain, Domain )
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; ord_memberchk(Y, Domain)
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).
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% Translate attributes from this module to residual goals %
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attribute_goals(X) -->
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{ get_attr(X, domain, List) },
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[domain(X, List)].
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~~~~~
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Before explaining the code we give some example queries:
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The predicate `domain/2` fetches (first clause) or assigns
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(second clause) the variable a <em>domain</em>, a set of values it can
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be unified with. In the second clause first associates the domain
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with a fresh variable and then unifies X to this variable to deal
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with the possibility that X already has a domain. The
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predicate attr_unify_hook/2 is a hook called after a variable with
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a domain is assigned a value. In the simple case where the variable
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is bound to a concrete value we simply check whether this value is in
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the domain. Otherwise we take the intersection of the domains and either
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fail if the intersection is empty (first example), simply assign the
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value if there is only one value in the intersection (second example) or
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assign the intersection as the new domain of the variable (third
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example). The nonterminal `attribute_goals/3` is used to translate
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remaining attributes to user-readable goals that, when executed, reinstate
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these attributes.
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@}
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@{
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### Co-routining {#CohYroutining}
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Prolog uses a simple left-to-right flow of control. It is sometimes
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convenient to change this control so that goals will only execute when
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sufficiently instantiated. This may result in a more "data-driven"
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execution, or may be necessary to correctly implement extensions such
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as negation by failure.
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Initially, YAP used a separate mechanism for co-routining. Nowadays, YAP uses
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attributed variables to implement co-routining.
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Two declarations are supported:
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+ block/1
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The argument to `block/1` is a condition on a goal or a conjunction
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of conditions, with each element separated by commas. Each condition is
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of the form `predname( _C1_,..., _CN_)`, where _N_ is the
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arity of the goal, and each _CI_ is of the form `-`, if the
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argument must suspend until the first such variable is bound, or
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`?`, otherwise.
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+ wait/1
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The argument to `wait/1` is a predicate descriptor or a conjunction
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of these predicates. These predicates will suspend until their first
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argument is bound.
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The following primitives can be used:
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- freeze/2
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- dif/2
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- when/2
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- frozen/2
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@}
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@}
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