Screamer


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Introduction

Screamer provides a nondeterministic choice-point operator, a backtracking mechanism, and a forward propagation facility.

Screamer was originally written by Jeffrey Mark Siskind and David Allen McAllester.

The copy of Screamer this documentation refers to is maintained courtesy of Steel Bank Studio Ltd by Nikodemus Siivola.

The Google Group

     http://groups.google.com/group/screamer/

exists for Screamer-related discussions.

Screamer is maintained in Git:

     git clone git://github.com/nikodemus/screamer.git

will get you a local copy.

     http://github.com/nikodemus/screamer

is the GitHub project page.

Table of Contents


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1 Original Publications

Following original publications by Siskind and McAllester form the basis of this manual:

Screaming Yellow Zonkers, 1991. Old Screamer manual, doesn't always hold true for Screamer 3.20 on which this “modern” Screamer is based, but still probably the most complete discussion of various operators and the overall design of Screamer outside of this manual.

Screamer: A Portable Efficient Implementation of Nondeterministic Common Lisp, 1993. A paper describing the fundamentals of Screamer.

Nondeterministic Lisp as a Substrate for Constraint Logic Programming, 1993. A paper describing the constaints propagation features of Screamer.


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2 Overview

2.1 Important Note on Packages

Screamer shadows defun, and a couple of other symbols.

Examples in this manual are expected to be entered in the package SCREAMER-USER, which has the correct defun.

Packages using Screamer are best defined using define-screamer-package, which is like defpackage using CL and SCREAMER packages, but does the additional shadowing imports.

This is however by no means necessary: you can also explicitly use screamer::defun.

2.2 Choice-Points, Failure, and Backtracking

Screamer adds nondeterminism by providing the choice-point operator either and the failure operator fail.

A choice-point is a point in program where more than one thing can happen. When a choice-point is encountered, one of the possibilities occurs, and execution continues. Should a failure subsequently occur, the system backtracks to the last choice-point where multiple possibilities were still present, and tries again.

Backtracking is controlled by a form providing a nondeterministic context, eg. all-values, one-value, or for-effects.

     (all-values
       (let ((x (either 1 2 3 4)))
         (if (oddp x)
             x
             (fail)))) ; => (1 3)

At first (either 1 2 3 4) evaluates to 1, which is oddp, so all-values receives it and sets about producing the next value. Now either returns 2, which isn't oddp. Hence fail is called causing the system to backtrack.

Starting again from the choice-point 3 is produced, which is oddp, and is received by all-values, which in turn requests the next value. Now either returns 4, which again causes fail to backtrack.

Since the only choice-point available cannot produce any more alternatives, control passes back to all-values which returns the collected values.

Had we wanted only one answer instead of an enumeration of all possible answers we could have used one-value instead of all-values.

If you're familiar with Prolog, all-values and one-value are analogous to Prolog's bagof and cut primitives.

2.3 Generators

Given either and fail we can write functions returning arbitrary sequences of nondeterministic values. Such functions are called generators, and by convention have names starting with a- or an-.

Consider for example an-integer-between:

     ;;; Screamer already provides an-integer-between, so we'll
     ;;; call this by a different name.
     (defun an-int-between (min max)
       (if (> min max)
           (fail)
           (either min (an-int-between (1+ min) max))))
     
     (all-values (an-int-between 41 43)) ; => (41 42 43)

Called with two integers, this function produces nondeterministic values in the given range – finally backtracking to a previous choice-point when all possibilities have been exhausted.

Given an-integer-between and fail we can write eg. a generator for square numbers:

     ;;; Square numbers are numbers produced by squaring an integer.
     (defun a-square-number (min max)
       (let* ((x (an-integer-between 0 max))
              (square (* x x)))
         (if (<= min square max)
             square
             (fail))))
     
     (all-values (a-square-number 12 80)) ; => (16 25 36 49 64)

We're not restricted to numbers, of course. Writing a generator for potential comedy duos works just the same:

     (defun a-comedic-actor ()
       (list (either :tall :short) (either :thin :fat)))
     
     (defun a-comedy-duo ()
       (let ((a (a-comedic-actor))
             (b (a-comedic-actor)))
         (if (or (eq (first a) (first b))
                 (eq (second a) (second b)))
             (fail)
             (list a :and b))))
     
     (one-value (a-comedy-duo)) ; => ((:TALL :THIN) :AND (:SHORT :FAT))

2.4 Side-Effects

What should happen to side-effects when a nondeterministic function backtracks? It depends. Some side-effects should be retained, and some undone – and it is impossible for the system to know in general what is the right choice in a given case.

Screamer is able to undo effects of setf and setq (including calls to user-defined setf-functions), but cannot undo calls to other functions with side-effects such as set, rplaca, or sort.

By default all side-effects are retained:

     (let ((n 0))
       (list :numbers
             (all-values (let ((x (an-integer-between 0 3)))
                           (incf n)
                           x))
             :n n)) ; => (:NUMBERS (0 1 2 3) :N 4)

Macros local and global can be used to turn undoing of side-effects on and off lexically.

     (let ((m 0)
           (n 0))
       (list :numbers
             (all-values (let ((x (an-integer-between 0 3)))
                           (local
                             (incf n)
                             (global
                               (incf m)))
                           x))
             :m m
             :n n)) ; => (:NUMBERS (0 1 2 3) :M 4 :N 0)

2.5 Constraint Propagation

In addition to nondeterminism via backtracking as discussed so far, Screamer also provides for forward constraint propagation via logic variables constructed using make-variable. Screamer provides a variety of primitives for constraining variables.

By convention suffix v is used to denote operators that accept (and potentially return) variables in addition to values. Any foov is generally just like foo, except its arguments can also be logic variables, and that it may assert facts about them and will possibly return another variable.

The operator assert! is the primary tool about asserting facts about variables.

Expression such as (foov myvar) typically returns another variable depending on myvar, which can be constrained to be true using assert!.

Operator bound? can be used to test if variable is bound to a specific value, and value-of can be used to obtain its value.

     ;;; Make a variable
     (defparameter *v* (make-variable "The Answer"))
     
     ;;; It is initially unconstrained.
     *v* ; => ["The Answer"]
     
     ;;; Constrain it to be an integer.
     (assert! (integerpv *v*))
     
     *v* ; => ["The Answer" integer]
     
     ;;; Constrain 40 to be 2 less than *v*
     (assert! (=v 40 (-v *v* 2)))
     
     ;;; And we have our answer.
     *v* ; => 42
     
     ;;; However, there's a catch. Even though *v* printed as 42 above, *v*
     ;;; is still a variable. This is convenience for working in the REPL:
     ;;; unbound variables print using square brackets, bound ones print
     ;;; as their value.
     (type-of *v*) ; => SCREAMER::VARIABLE
     
     ;;; To obtain its value:
     (value-of *v*) ; => 42

Assertions – and constraint operators in general – can cause failure and backtracking, in which case constraints from the last attempt are undone.

This allows us to search the solution space using backtracking:

     (defparameter *x* (make-variable "X"))
     (defparameter *y* (make-variable "Y"))
     
     (assert! (integerpv *x*))
     (assert! (integerpv *y*))
     
     (assert! (=v 0 (+v *x* *y* 42)))
     
     (all-values (let ((x (an-integer-between -50 -30))
                       (y (an-integer-between 2 5)))
                   (assert! (=v *x* x))
                   (assert! (=v *y* y))
                   (list x y))) ; => ((-47 5) (-46 4) (-45 3) (-44 2))

A possibly less intuitive, but usually more efficient method is to assert range constraints as variables instead of nondeterministic values, and force a solution:

     (assert! (=v *x* (an-integer-betweenv -50 -30)))
     (assert! (=v *y* (an-integer-betweenv 2 5)))
     
     (all-values
       (solution (list *x* *y*)
                 (static-ordering #'linear-force)))
     ; => ((-47 5) (-46 4) (-45 3) (-44 2))

In this case backtracking occurs only inside solution, when the system is trying to apply different solution to the given constraints, whereas in the first one we backtracked over the entire let.

2.6 Current Limitations

Screamer is implemented using a code-walker, which does not unfortunately currently support the full ANSI Common Lisp.

2.6.1 Not Supported At All

Following special operators signal an error if they appear in code processed by the code walker:

2.6.2 Limited Support

Following special operators are accepted, but they cannot contain nondeterministic forms:

Additionally, functions defined using flet and labels are not in nondeterministic context, even if the surrounding context is nondeterministic.

2.6.3 Limitations in Undoing Side-Effects

Undoing side-effects via local is reliable only if the setf and setq forms are lexically apparent:

     (local (incf (foo)))

may or may not work as expected, depending on how foo is implemented. If (incf (foo)) expands using eg. set-foo, the code-walker will not notice the side-effect.

Undoing side-effects via local when there is no prior value might not work as expected, depending on the implementation of the place:


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3 Examples

3.1 Einstein's Riddle

Solving the “Einstein's Riddle” using nondeterministic features of Screamer, ie. backtracking search.

[ HTML ] [ Source ]

3.2 The Zebra Puzzle

Solving the “The Zebra Puzzle”, using forward constraint propagation features of Screamer.

(This puzzle is virtually identical to “Einstein's Riddle”, but the solution is very different.)

[ HTML ] [ Source ]

3.3 The Sudoku Puzzle

Solving a sudoku puzzle using forward constraint propagation features of Screamer.

[ HTML ] [ Source ]


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4 Dictionary

4.1 Nondetermism

— Macro: either &body alternatives

Nondeterministically evaluates and returns the value of one of its alternatives.

either takes any number of arguments. With no arguments, (either) is equivalent to (fail) and is thus deterministic. With one argument, (EITHER X) is equivalent to x itself and is thus deterministic only when x is deterministic. With two or more argument it is nondeterministic and can only appear in a nondeterministic context.

It sets up a choice-point and evaluates the first alternative returning its values. When backtracking follows to this choice-point, the next alternative is evaluated and its values are returned. When no more alternatives remain, the current choice-point is removed and backtracking continues to the next most recent choice-point.

— Function: fail

Backtracks to the most recent choice-point.

fail is deterministic function and thus it is permissible to reference #'fail, and write (funcall #'fail) or (apply #'fail).

Calling fail when there is no choice-point to backtrack to signals an error.

— Function: trail function

When called in non-deterministic context, adds function to the trail. Outside non-deterministic context does nothing.

Functions on the trail are called when unwinding from a nondeterministic selection (due to either a normal return, or calling fail.)

— Macro: all-values &body body

Evaluates body as an implicit progn and returns a list of all of the nondeterministic values yielded by the it.

These values are produced by repeatedly evaluating the body and backtracking to produce the next value, until the body fails and yields no further values.

Accordingly, local side effects performed by the body while producing each value are undone before attempting to produce subsequent values, and all local side effects performed by the body are undone upon exit from all-values.

Returns a list containing nil if body is empty.

An all-values expression can appear in both deterministic and nondeterministic contexts. Irrespective of what context the all-values appears in, the body is always in a nondeterministic context. An all-values expression itself is always deterministic.

all-values is analogous to the `bagof' primitive in Prolog.

— Macro: one-value form &optional default

Returns the first nondeterministic value yielded by form.

No further execution of form is attempted after it successfully returns one value.

If form does not yield any nondeterministic values (i.e. it fails) then default is evaluated and its value returned instead. default defaults to (fail) if not present.

Local side effects performed by form are undone when one-value returns, but local side effects performed by default are not undone when one-value returns.

A one-value expression can appear in both deterministic and nondeterministic contexts. Irrespective of what context the one-value appears in, form is always in a nondeterministic context, while default is in whatever context the one-value form appears.

A one-value expression is nondeterministic if default is present and is nondeterministic, otherwise it is deterministic.

If default is present and nondeterministic, and if form fails, then it is possible to backtrack into the default and for the one-value form to nondeterministically return multiple times. one-value is analogous to the cut primitive (`!') in Prolog.

— Macro: for-effects &body body

Evaluates body as an implicit progn in a nondeterministic context and returns nil.

The body is repeatedly backtracked to its first choice-point until the body fails.

Local side effects performed by body are undone when for-effects returns.

A for-effects expression can appear in both deterministic and nondeterministic contexts. Irrespective of what context the for-effects appears in, body are always in a nondeterministic context. A for-effects expression is is always deterministic.

— Macro: ith-value i form &optional default

Returns the Ith nondeterministic value yielded by form.

I must be an integer. The first nondeterministic value yielded by form is numbered zero, the second one, etc. The Ith value is produced by repeatedly evaluating form, backtracking through and discarding the first I values and deterministically returning the next value produced.

No further execution of form is attempted after it successfully yields the desired value.

If form fails before yielding both the I values to be discarded, as well as the desired Ith value, then default is evaluated and its value returned instead. default defaults to (fail) if not present.

Local side effects performed by form are undone when ith-value returns, but local side effects performed by default and by I are not undone when ith-value returns.

An ith-value expression can appear in both deterministic and nondeterministic contexts. Irrespective of what context the ith-value appears in, form is always in a nondeterministic context, while default and I are in whatever context the ith-value appears in.

An ith-value expression is nondeterministic if default is present and is nondeterministic, or if I is nondeterministic. Otherwise it is deterministic.

If default is present and nondeterministic, and if form fails, then it is possible to backtrack into the default and for the ith-value expression to nondeterministically return multiple times.

If I is nondeterministic then the ith-value expression operates nondeterministically on each value of I. In this case, backtracking for each value of form and default is nested in, and restarted for, each backtrack of I.

— Macro: print-values &body body

Evaluates body as an implicit progn and prints each of the nondeterministic values yielded by it using print.

After each value is printed, the user is queried as to whether or not further values are desired. These values are produced by repeatedly evaluating the body and backtracking to produce the next value, until either the user indicates that no further values are desired or until the body fails and yields no further values.

Returns the last value printed.

Accordingly, local side effects performed by the body while producing each value are undone after printing each value, before attempting to produce subsequent values, and all local side effects performed by the body are undone upon exit from print-values, either because there are no further values or because the user declines to produce further values.

A print-values expression can appear in both deterministic and nondeterministic contexts. Irrespective of what context the print-values appears in, the body are always in a nondeterministic context. A print-values expression itself is always deterministic.

print-values is analogous to the standard top-level user interface in Prolog.

— Macro: possibly? &body body

Evaluates body as an implicit progn in nondeterministic context, returning true if the body ever yields true.

The body is repeatedly backtracked as long as it yields nil. Returns the first true value yielded by the body, or nil if body fails before yielding true.

Local side effects performed by the body are undone when possibly? returns.

A possibly? expression can appear in both deterministic and nondeterministic contexts. Irrespective of what context the possibly? appears in, its body is always in a nondeterministic context. A possibly? expression is always deterministic.

— Macro: necessarily? &body body

Evaluates body as an implicit progn in nondeterministic context, returning true if the body never yields false.

The body is repeatedly backtracked as long as it yields true. Returns the last true value yielded by the body if it fails before yielding nil, otherwise returns nil.

Local side effects performed by the body are undone when necessarily? returns.

A necessarily? expression can appear in both deterministic and nondeterministic contexts. Irrespective of what context the necessarily? appears in, its body is always in a nondeterministic context. A necessarily? expression is always deterministic.

— Macro: global &body body

Evaluates body in the same fashion as progn except that all setf and setq forms lexically nested in its body result in global side effects which are not undone upon backtracking.

Note that this affects only side effects introduced explicitly via setf and setq. Side effects introduced by Common Lisp builtin functions such as rplaca are always global anyway.

local and global may be nested inside one another. The nearest lexically surrounding one determines whether or not a given setf or setq results in a local or global side effect.

Side effects default to be global when there is no surrounding local or global expression. Global side effects can appear both in deterministic as well as nondeterministic contexts. In nondeterministic contexts, global as well as setf are treated as special forms rather than macros. This should be completely transparent to the user.

— Macro: local &body body

Evaluates body in the same fashion as progn except that all setf and setq forms lexically nested in its body result in local side effects which are undone upon backtracking.

This affects only side effects introduced explicitly via setf and setq. Side effects introduced by either user defined functions or builtin Common Lisp functions such as rplaca are always global.

Behaviour of side effects introduced by macro-expansions such as incf depends on the exact macro-expansion. If (incf (foo)) expands using eg. set-foo, local is unable to undo the side-effect.

local cannot distinguish between initially uninitialized and intialized places, such as unbound variables or hash-table keys with no prior values. As a result, an attempt to assign an unbound variable inside local will signal an error due to the system's attempt to first read the variable. Similarly, undoing a (setf gethash) when the key did not previously exist in the table will insert a nil into the table instead of doing a remhash. Easiest way to work around this is by using trail.

local and global may be nested inside one another. The nearest lexically surrounding one determines whether or not a given setf or setq results in a local or global side effect.

Side effects default to be global when there is no surrounding local or global expression. Local side effects can appear both in deterministic as well as nondeterministic contexts though different techniques are used to implement the trailing of prior values for restoration upon backtracking. In nondeterministic contexts, local as well as setf are treated as special forms rather than macros. This should be completely transparent to the user.

— Function: a-boolean

Equivalent to (either t nil).

— Function: a-member-of sequence

Nondeterministically returns an element of sequence. The elements are returned in the order that they appear in sequence. The sequence must be either a list or a vector.

— Function: an-integer

Generator yielding integers in sequence 0, 1, -1, 2, -2, ...

— Function: an-integer-above low

Generator yielding integers starting from low and continuing sequentially in increasing direction.

— Function: an-integer-below high

Generator yielding integers starting from high and continuing sequentially in decreasing direction.

— Function: an-integer-between low high

Nondeterministically returns an integer in the closed interval [low, high]. The results are returned in ascending order. Both low and high must be integers. Fails if the interval does not contain any integers.

— Function: apply-nondeterministic function &rest arguments

Analogous to the cl:apply, except function can be either a nondeterministic function, or an ordinary deterministic function.

You must use apply-nondeterministic to apply a nondeterministic function. An error is signalled if a nondeterministic function object is used with cl:apply.

You can use apply-nondeterministic to apply either a deterministic or nondeterministic function, though even if all of the arguments are deterministic and function is a deterministic function object, the call expression will still be nondeterministic (with presumably a single value), since it is impossible to determine at compile time that a given call to apply-nondeterministic will be passed only deterministic function objects for function.

— Function: funcall-nondeterministic function &rest arguments

Analogous to cl:funcall, except function can be either a nondeterministic function, or an ordinary determinisitic function.

You must use funcall-nondeterministic to funcall a nondeterministic function. An error is signalled if you attempt to funcall a nondeterministic function object with cl:funcall.

You can use funcall-nondeterministic to funcall either a deterministic or nondeterministic function, though even if all of the arguments are deterministic and function is a deterministic function object, the call expression will still be nondeterministic (with presumably a single value), since it is impossible to determine at compile time that a given call to funcall-nondeterministic will be passed only deterministic function objects for function.

— Function: multiple-value-call-nondeterministic function-form &rest values-forms

Analogous to the cl:multiple-value-call, except function-form can evaluate to either a nondeterministic function, or an ordinary deterministic function.

You must use multiple-value-call-nondeterministic to multiple-value-call a nondeterministic function. An error is signalled if a nondeterministic function object is used with cl:multiple-value-call.

You can use multiple-value-call-nondeterministic to call either a deterministic or nondeterministic function, though even if all of the values-forms are deterministic and function-form evaluates to a deterministic function object, the call expression will still be nondeterministic (with presumably a single value), since it is impossible to determine at compile time that a given call to multiple-value-call-nondeterministic will be passed only deterministic function objects for function.

While multiple-value-call-nondeterministic appears to be a function, it is really a special-operator implemented by the code-walkers processing nondeterministic source contexts.

— Function: nondeterministic-function? x

Returns t if x is a nondeterministic function and nil otherwise.

#'foo returns a nondeterministic function object iff it is used in nondeterminisitc context and foo is either a nondeterministic lambda form, or the name of a nondeterministic function defined using screamer::defun.

Currently, if foo is a nondeterministic function defined using screamer::defun, #'foo and (symbol-function 'foo) in deterministic context will return an ordinary deterministic Common Lisp function, which will signal an error at runtime.

— Macro: when-failing (&body failing-forms) &body body

Whenever fail is called during execution of body, executes failing-forms before unwinding.

— Macro: count-failures &body body

Executes body keeping track of the number of times fail has been called without unwinding from body. After body completes, reports the number of failures to *standard-output* before returning values from body.

4.2 Constraints

4.2.1 Basics

— Function: make-variable &optional name

Creates and returns a new variable. Variables are assigned a name which is only used to identify the variable when it is printed. If the parameter name is given then it is assigned as the name of the variable. Otherwise, a unique name is assigned. The parameter name can be any Lisp object.

— Macro: assert! x

Restricts x to t. No meaningful result is returned. The argument x can be either a variable or a non-variable.

This assertion may cause other assertions to be made due to noticers attached to x.

A call to assert! fails if x is known not to equal t prior to the assertion or if any of the assertions performed by the noticers result in failure.

Except for the fact that one cannot write #'assert!, assert! behaves like a function, even though it is implemented as a macro.

The reason it is implemented as a macro is to allow a number of compile time optimizations. Expressions like (assert! (notv x)), (assert! (numberpv x)) and (assert! (notv (numberv x))) are transformed into calls to functions internal to Screamer which eliminate the need to create the boolean variable(s) normally returned by functions like notv and numberpv. Calls to the functions numberpv, realpv, integerpv, memberv, booleanpv, =v, <v, <=v, >v, >=v, /=v, notv, funcallv, applyv and equalv which appear directly nested in a call to assert!, or directly nested in a call to notv which is in turn directly nested in a call to assert!, are similarly transformed.

— Function: value-of x

Returns x if x is not a variable. If x is a variable then value-of dereferences x and returns the dereferenced value. If x is bound then the value returned will not be a variable. If x is unbound then the value returned will be a variable which may be x itself or another variable which is shared with x.

— Function: apply-substitution x

If x is a cons, or a variable whose value is a cons, returns a freshly consed copy of the tree with all variables dereferenced. Otherwise returns the value of x.

— Function: bound? x

Returns t if x is not a variable or if x is a bound variable. Otherwise returns nil. bound? is analogous to the extra-logical predicates `var' and `nonvar' typically available in Prolog.

— Function: ground? x

The primitive ground? is an extension of the primitive bound? which can recursively determine whether an entire aggregate object is bound. Returns t if x is bound and either the value of x is atomic or a cons tree where all atoms are bound.

Otherwise returns nil.

— Function: applyv f x &rest xs

f must be a deterministic function. If all arguments x are bound, returns the result of calling f on the dereferenced values of spread arguments.

Otherwise returns a fresh variable v, constrained to be equal to the result of calling f on the dereferenced values of arguments.

Additionally, if all but one of v and the argument variables become known, and the remaining variable has a finite domain, then that domain is further restricted to be consistent with other arguments.

— Function: funcallv f &rest x

f must be a deterministic function. If all arguments x are bound, returns the result of calling f on the dereferenced values of arguments.

Otherwise returns a fresh variable v, constrained to be equal to the result of calling f on the dereferenced values of arguments.

Additionally, if all but one of v and the argument variables become known, and the remaining variable has a finite domain, then that domain is further restricted to be consistent with other arguments.

— Function: equalv x y

Returns t if the aggregate object x is known to equal the aggregate object y, nil if the aggregate object x is known not to equal the aggregate object y, and a new boolean variable v if it is not known whether or not x equals y when equalv is called.

The values of x, y and v are mutually constraints via noticers so that v equals t if and only if x is known to equal y and v equals nil if and only if x is known not to equal y.

Noticers are attached to v as well as to all variables nested in both in x and y. When the noticers attached to variables nested in x and y detect that x is known to equal y they restrict v to equal t. Likewise, when the noticers attached to variables nested in x and y detect that x is known not to equal y they restrict v to equal nil.

Furthermore, if v later becomes known to equal t then x and y are unified. Likewise, if v later becomes known to equal nil then x and y are restricted to not be equal. This is accomplished by attaching noticers to the variables nested in x and y which detect when x becomes equal to y and fail.

The expression (known? (equalv x y)) is analogous to the extra-logical predicate `==' typically available in Prolog.

The expression (known? (notv (equalv x y))) is analogous to the extra-logical predicate `\=' typically available in Prolog.

The expression (assert! (equalv x y)) is analogous to Prolog unification.

The expression (assert! (notv (equalv x y))) is analogous to the disunification operator available in Prolog-II.

— Function: template template

Copies an aggregate object, replacing any symbol beginning with a question mark with a newly created variable.

If the same symbol appears more than once in x, only one variable is created for that symbol, the same variable replacing any occurrences of that symbol. Thus (template '(a b (?c d ?e) ?e)) has the same effect as:

            (LET ((?C (MAKE-VARIABLE))
                  (?E (MAKE-VARIABLE)))
              (LIST 'A 'B (LIST C 'D E) E)).

This is useful for creating patterns to be unified with other structures.

4.2.2 Booleans

— Function: a-booleanv &optional name

Returns a boolean variable.

— Function: booleanpv x

The expression (booleanpv x) is an abbreviation for (memberv x '(t nil)).

— Macro: known? x

Restricts x to be a boolean. If x is equal to t after being restricted to be boolean, returns t. If x is equal to nil or if the value of x is unknown returns nil. The argument x can be either a variable or a non-variable.

The initial restriction to boolean may cause other assertions to be made due to noticers attached to x. A call to known? fails if x is known not to be boolean prior to the assertion or if any of the assertions performed by the noticers result in failure.

Restricting x to be boolean attaches a noticer on x so that any subsequent assertion which restricts x to be non-boolean will fail.

Except for the fact that one cannot write #'known?, known? behaves like a function, even though it is implemented as a macro.

The reason it is implemented as a macro is to allow a number of compile time optimizations. Expressions like (known? (notv x)), (known? (numberpv x)) and (known? (notv (numberpv x))) are transformed into calls to functions internal to Screamer which eliminate the need to create the boolean variable(s) normally returned by functions like notv and numberv. Calls to the functions numberpv, realpv, integerpv, memberv, booleanpv, =v, <v, <=v, v, >=v, /=v, notv, funcallv, applyv and equalv which appear directly nested in a call to known?, or directly nested in a call to notv which is in turn directly nested in a call to known?, are similarly transformed.

— Macro: decide x

Restricts x to a be boolean. After x is restricted a nondeterministic choice is made. For one branch, x is restricted to equal t and (decide x) returns t as a result. For the other branch, x is restricted to equal nil and (decide x) returns nil as a result. The argument x can be either a variable or a non-variable.

The initial restriction to boolean may cause other assertions to be made due to noticers attached to x. A call to decide immediately fails if x is known not to be boolean prior to the assertion or if any of the assertions performed by the noticers result in failure.

Restricting x to be boolean attaches a noticer on x so that any subsequent assertion which restricts x to be non-boolean will fail.

Except for implementation optimizations (decide x) is equivalent to:

            (EITHER (PROGN (ASSERT! X) T) (PROGN (ASSERT! (NOTV X)) NIL))

Except for the fact that one cannot write #'decide, decide behaves like a function, even though it is implemented as a macro.

The reason it is implemented as a macro is to allow a number of compile time optimizations. Expressions like (decide (notv x)), (decide (numberpv x)) and (decide (notv (numberpv x))) are transformed into calls to functions internal to Screamer which eliminate the need to create the boolean variable(s) normally returned by functions like notv and numberv. Calls to the functions numberpv, realpv, integerpv, memberpv, booleanpv, =v, <v, <=v, >v, >=v, /=v, notv, funcallv, applyv and equalv which appear directly nested in a call to decide, or directly nested in a call to notv which is in turn directly nested in a call to decide, are similarly transformed.

— Function: notv x

Restricts x to be a boolean.

Returns t if this restricts x to nil, and t if this restricts x to nil.

Otherwise returns a new boolean variable v. v and x are mutually constrained via noticers, so that if either is later known to equal t, the other is restricted to equal nil and vice versa.

Note that unlike cl:not notv does not accept arbitrary values as arguments: it fails if its argument is not t, nil, or variable that can be restricted to a boolean.

— Function: andv &rest xs

Restricts each argument to be boolean.

Returns t if called with no arguments, or if all arguments are known to equal t after being restricted to be boolean, and returns nil if any argument is known to equal nil after this restriction.

Otherwise returns a boolean variable v. The values of the arguments and v are mutually constrained:

Note that unlike cl:and, andv is a function and always evaluates all its arguments. Secondly, any non-boolean argument causes it to fail.

— Function: orv &rest xs

Restricts each argument to be boolean.

Returns nil if called with no arguments, or if all arguments are known to equal nil after being restructed to be boolean, and returns t if any argument is known to equal t after this restriction.

Otherwise returns a boolean variable v. The values of arguments and v are mutually constrained:

Note that unlike cl:or, orv is a function and always evaluates all its arguments. Secondly, any non-boolean argument causes it to fail.

— Function: count-truesv &rest xs

Constrains all its arguments to be boolean. If each argument is known, returns the number of t arguments. Otherwise returns a fresh constraint variable v.

v and arguments are mutually constrained:

4.2.3 Sequences

— Function: a-member-ofv values &optional name

Returns a variable whose value is constrained to be one of values. values can be either a vector or a list designator.

— Function: memberv x sequence

Returns t if x is known to be a member of sequence (using the Common Lisp function eql as a test function), nil if x is known not to be a member of sequence, and otherwise returns a new boolean variable v.

When a new variable is created, the values of x and v are mutually constrained via noticers so that v is equal to t if and only if x is known to be a member of sequence and v is equal to nil if and only if x is known not to be a member of sequence.

The current implementation imposes two constraints on the parameter sequence. First, sequence must be bound when memberv is called. Second, sequence must not contain any unbound variables when memberv is called.

The value of parameter sequence must be a sequence, i.e. either a list or a vector.

4.2.4 Numbers

— Function: a-numberv &optional name

Returns a variable whose value is constained to be a number.

— Function: a-realv &optional name

Returns a real variable.

— Function: a-real-abovev low &optional name

Returns a real variable whose value is constrained to be greater than or equal to low.

— Function: a-real-belowv high &optional name

Returns a real variable whose value is constrained to be less than or equal to high.

— Function: a-real-betweenv low high &optional name

Returns a real variable whose value is constrained to be greater than or equal to low and less than or equal to high. If the resulting real variable is bound, its value is returned instead. Fails if it is known that low is greater than high at the time of call.

The expression (a-real-betweenv low high) is an abbreviation for:

           (LET ((V (MAKE-VARIABLE)))
              (ASSERT! (REALPV V))
              (ASSERT! (>=V V LOW))
              (ASSERT! (<=V V HIGH))
              (VALUE-OF V))

— Function: an-integerv &optional name

Returns an integer variable.

— Function: an-integer-abovev low &optional name

Returns an integer variable whose value is constrained to be greater than or equal to low.

— Function: an-integer-belowv high &optional name

Returns an integer variable whose value is constrained to be less than or equal to high.

— Function: an-integer-betweenv low high &optional name

Returns an integer variable whose value is constrained to be greater than or equal to low and less than or equal to high. If the resulting integer variable is bound, its value is returned instead. Fails if it is known that there is no integer between low and high at the time of call.

The expression (an-integer-betweenv low high) is an abbreviation for:

           (LET ((V (MAKE-VARIABLE)))
              (ASSERT! (INTEGERPV V))
              (ASSERT! (>=V V LOW))
              (ASSERT! (<=V V HIGH))
              (VALUE-OF v))

— Function: numberpv x

Returns t if x is known to be numeric, nil if x is known to be non-numeric, and otherwise returns a new boolean variable v.

The values of x and v are mutually constrained via noticers so that v is equal to t if and only if x is known to be numeric and v is equal to nil if and only if x is known to be non-numeric.

— Function: realpv x

Returns t if x is known to be real, nil if x is known to be non-real, and otherwise returns a new boolean variable v.

The values of x and v are mutually constrained via noticers so that v is equal to t if and only if x is known to be real and v is equal to nil if and only if x is known to be non-real.

— Function: integerpv x

Returns t if x is known to be integer valued, and nil if x is known be non-integer value.

If it is not known whether or not x is integer valued when integerpv is called then integerpv creates and returns a new boolean variable v.

The values of x and v are mutually constrained via noticers so that v is equal to t if and only if x is known to be integer valued, and v is equal to nil if and only if x is known to be non-integer valued.

If x later becomes known to be integer valued, a noticer attached to x restricts v to equal t. Likewise, if x later becomes known to be non-integer valued, a noticer attached to x restricts v to equal nil.

Furthermore, if v ever becomes known to equal t then a noticer attached to v restricts x to be integer valued. Likewise, if v ever becomes known to equal nil then a noticer attached to v restricts x to be non-integer valued.

— Function: minv x &rest xs

Constrains its arguments to be real. If called with a single argument, returns its value. If called with multiple arguments, behaves as if a combination of two argument calls:

            (MINV X1 X2 ... Xn) == (MINV (MINV X1 X2) ... Xn)

If called with two arguments, and either is known to be less than or equal to the other, returns the value of that argument. Otherwise returns a real variable v, mutually constrained with the arguments:

— Function: maxv x &rest xs

Constrains its arguments to be real. If called with a single argument, returns its value. If called with multiple arguments, behaves as if a combination of two argument calls:

            (MAXV X1 X2 ... Xn) == (MAXV (MAXV X1 X2) ... Xn)

If called with two arguments, and either is known to be greater than or equal to the other, returns the value of that argument. Otherwise returns a real variable v, mutually constrained with the arguments:

— Function: +v &rest xs

Constrains its arguments to be numbers. Returns 0 if called with no arguments. If called with a single argument, returns its value. If called with more than two arguments, behaves as nested sequence of two-argument calls:

            (+V X1 X2 ... Xn) = (+V X1 (+V X2 (+V ...)))

When called with two arguments, if both arguments are bound, returns the sum of their values. If either argument is known to be zero, returns the value of the remaining argument. Otherwise returns number variable v.

Note: Numeric contagion rules of Common Lisp are not applied if either argument equals zero.

— Function: -v x &rest xs

Constrains its arguments to be numbers. If called with a single argument, behaves as if the two argument call:

            (-V 0 X)

If called with more than two arguments, behaves as nested sequence of two-argument calls:

            (-V X1 X2 ... Xn) = (-V X1 (-V X2 (-V ...)))

When called with two arguments, if both arguments are bound, returns the difference of their values. If X2 is known to be zero, returns the value of X1. Otherwise returns number variable v.

Note: Numeric contagion rules of Common Lisp are not applied if X2 equals zero.

— Function: *v &rest xs

Constrains its arguments to be numbers. If called with no arugments, returns 1. If called with a single argument, returns its value. If called with more than two arguments, behaves as nested sequence of two-argument calls:

            (*V X1 X2 ... Xn) = (*V X1 (*V X2 (*V ...)))

When called with two arguments, if both arguments are bound, returns the product of their values. If either argument is known to equal zero, returns zero. If either argument is known to equal one, returns the value of the other. Otherwise returns number variable v.

Note: Numeric contagion rules of Common Lisp are not applied if either argument equals zero or one.

— Function: /v x &rest xs

Constrains its arguments to be numbers. If called with a single argument, behaves as the two argument call:

            (/V 1 X)

If called with more than two arguments, behaves as nested sequence of two-argument calls:

            (/V X1 X2 ... Xn) = (/V ... (/V (/V X1 X2) X3) ... Xn)

When called with two arguments, if both arguments are bound, returns the division of their values. If X1 is known to equal zero, returns 0. If X2 is known to equal zero, fail is called. If X2 is known to equal one, returns the value of X1. Otherwise returns number variable v.

Note: Numeric contagion rules of Common Lisp are not applied if X1 equals zero or X2 equals one.

— Function: <v x &rest xs

Returns a boolean value which is constrained to be t if each argument Xi is less than the following argument Xi+1 and constrained to be nil if some argument Xi is greater than or equal to the following argument Xi+1.

This function takes one or more arguments. All of the arguments are restricted to be real.

Returns t when called with one argument. A call such as (<v x1 x2 ... xn) with more than two arguments behaves like a conjunction of two argument calls:

            (ANDV (<V X1 X2) ... (<V Xi Xi+1 ) ... (<V Xn-1 Xn))

When called with two arguments, returns t if X1 is known to be less than X2 at the time of call, nil if X1 is known to be greater than or equal to X2 at the time of call, and otherwise a new boolean variable v.

A real value X1 is known to be less than a real value X2 if X1 has an upper bound, X2 has a lower bound and the upper bound of X1 is less than the lower bound of X2.

A real value X1 is known to be greater than or equal to a real value X2 if X1 has a lower bound, X2 has an upper bound and the lower bound of X1 is greater than or equal to the upper bound of X2.

When a new variable is created, the values of X1, X2 and v are mutually constrained via noticers so that v is equal to t if and only if X1 is known to be less than X2 and v is equal to nil if and only if X1 is known to be greater than or equal to X2.

Restricting a real value X1 to be less than a real value X2 is performed by attaching noticers to X1 and X2. The noticer attached to X1 continually restricts the lower bound of X2 to be no lower than the upper bound of X1 if X1 has an upper bound. The noticer attached to X2 continually restricts the upper bound of X1 to be no higher than the lower bound of X2 if X2 has a lower bound. Since these restrictions only guarantee that X1 be less than or equal to X2, the constraint that X1 be strictly less than X2 is enforced by having the noticers fail when both X1 and X2 become known to be equal.

Restricting a real value X1 to be greater than or equal to a real value X2 is performed by an analogous set of noticers without this last equality check.

— Function: <=v x &rest xs

All arguments are constrained to be real. Returns t when called with one argument. A call such as (<=v x1 x2 ... xn) with more than two arguments behaves like a conjunction of two argument calls:

            (ANDV (<=V X1 X2) ... (<=V Xi Xi+1) ... (<=V Xn-1 Xn))

When called with two arguments, returns t if X1 is know to be less than or equal to X2 at the time of the call, nil if X1 is known to be greater than X2, and otherwise a new boolean variable v.

Values of v, X1, and X2 are mutually constrained:

— Function: =v x &rest xs

Returns a boolean value which is constrained to be t if all of the arguments are numerically equal, and constrained to be nil if two or more of the arguments numerically differ.

This function takes one or more arguments. All of the arguments are restricted to be numeric.

Returns t when called with one argument. A call such as (=v x1 x2 ... xn) with more than two arguments behaves like a conjunction of two argument calls:

            (ANDV (=V X1 X2) ... (=V Xi Xi+1) ... (=V Xn-1 Xn))

When called with two arguments, returns t if X1 is known to be equal to X2 at the time of call, nil if X1 is known not to be equal to X2 at the time of call, and a new boolean variable v if is not known if the two values are equal.

Two numeric values are known to be equal only when they are both bound and equal according to the Common Lisp function =.

Two numeric values are known not to be equal when their domains are disjoint. Furthermore, two real values are known not to be equal when their ranges are disjoint, i.e. the upper bound of one is greater than the lower bound of the other.

When a new variable is created, the values of X1, X2, and v are mutually constrained via noticers so that v is equal to t if and only if X1 is known to be equal to X2, and v is equal to nil if and only if X1 is known not to be equal to X2.

Restricting two values x1 and x2 to be equal is performed by attaching noticers to x1 and x2. These noticers continually restrict the domains of x1 and x2 to be equivalent sets (using the Common Lisp function = as a test function) as their domains are restricted.

Restricting two values X1 and X2 to not be equal is also performed by attaching noticers to X1 and X2. These noticers however do not restrict the domains or ranges of X1 or X2. They simply monitor their continually restrictions and fail when any assertion causes X1 to be known to be equal to X2.

— Function: >=v x &rest xs

All arguments are constrained to be real. Returns t when called with one argument. A call such as (>=v x1 x2 ... xn) with more than two arguments behaves like a conjunction of two argument calls:

            (ANDV (>=V X1 X2) ... (>=V Xi Xi+1) ... (>=V Xn-1 Xn))

When called with two arguments, returns t if X1 is know to be greater than or equal to X2 at the time of the call, nil if X1 is known to be less than X2, and otherwise a new boolean variable v.

Values of v, X1, and X2 are mutually constrained:

— Function: >v x &rest xs

All arguments are constrained to be real. Returns t when called with one argument. A call such as (>v x1 x2 ... xn) with more than two arguments behaves like a conjunction of two argument calls:

            (ANDV (> X1 X2) ... (> Xi Xi+1) ... (> Xn-1 Xn))

When called with two arguments, returns t if X1 is know to be greater than X2 at the time of the call, nil if X1 is known to be less than or equal to X2, and otherwise a new boolean variable v.

Values of v, X1, and X2 are mutually constrained:

— Function: /=v x &rest xs

Returns a boolean value which is constrained to be t if no two arguments are numerically equal, and constrained to be nil if any two or more arguments are numerically equal.

This function takes one or more arguments. All of the arguments are restricted to be numeric.

Returns t when called with one argument. A call such as (/=v x1 x2 ... xn) with more than two arguments behaves like a conjunction of two argument calls:

            (ANDV (/=V X1 X2) ... (/=V X1 Xn)
                  (/=V X2 X3) ... (/=V X2 Xn)
                  ...
                  (/=V Xi Xi+1 ... (/=V Xi Xn)
                  ...
                  (/=V Xn-1 xn))

When called with two arguments, returns t if X1 is known not to be equal to X2 at the time of call, nil if X1 is known to be equal to X2 at the time of call, and otherwise a new boolean variable v.

Two numeric values are known not to be equal when their domains are disjoint.

Two real values are known not to be equal when their ranges are disjoint, i.e. the upper bound of one is greater than the lower bound of the other.

Two numeric values are known to be equal only when they are both bound and equal according to the Common Lisp function =.

When a new variable is created, the values of X1, X2 and v are mutually constrained via noticers so that v is equal to t if and only if X1 is known not to be equal to X2 and v is equal to nil if and only if X1 is known to be equal to X2.

Restricting two values X1 and X2 to be equal is performed by attaching noticers to X1 and X2. These noticers continually restrict the domains of X1 and X2 to be equivalent sets (using the Common Lisp function = as a test function) as their domains are restricted. Furthermore, if X1 is known to be real then the noticer attached to X2 continually restrict the upper bound of X1 to be no higher than the upper bound of X2 and the lower bound of X1 to be no lower than the lower bound of X2. The noticer of X2 performs a symmetric restriction on the bounds of X1 if it is known to be real.

Restricting two values X1 and X2 to not be equal is also performed by attaching noticers to X1 and X2. These noticers however, do not restrict the domains or ranges of X1 or X2. They simply monitor their continually restrictions and fail when any assertion causes X1 to be known to be equal to X2.

4.2.5 Forcing Solutions

— Function: solution arguments ordering-force-function

arguments is a list of values. Typically it is a list of variables but it may also contain nonvariables.

The specified ordering-force-function is used to force each of the variables in list to be bound.

Returns a list of the values of the elements of list in the same order that they appear in list, irrespective of the forcing order imposed by the ordering-force-function.

The ordering-force-function can be any function which takes a list of values as its single argument that is guaranteed to force all variables in that list to be bound upon its return. The returned value of the ordering-force-function is ignored.

The user can construct her own ordering-force-function or use one of the following alternatives provided with Screamer:

             (STATIC-ORDERING #'LINEAR-FORCE),
             (STATIC-ORDERING #'DIVIDE-AND-CONQUER-FORCE),
             (REORDER COST-FUN TERMINATE-TEST ORDER #'LINEAR-FORCE) and
             (REORDER COST-FUN TERMINATE-TEST ORDER #'DIVIDE-AND-CONQUER-FORCE).

Future implementation of Screamer may provide additional forcing and ordering functions.

— Function: static-ordering force-function

Returns an ordering force function based on force-function.

The ordering force function which is returned is a nondeterministic function which takes a single argument x. This argument x can be a list of values where each value may be either a variable or a non-variable. The ordering force function applies the force-function in turn to each of the variables in x, in the order that they appear, repeatedly applying the force-function to a given variable until it becomes bound before proceeding to the next variable. The ordering force function does not return any meaningful result.

force-function is any (potentially nondeterministic) function which can be applied to a variable as its single argument with the stipulation that a finite number of repeated applications will force the variable to be bound. The force-function need not return any useful value.

Screamer currently provides two convenient force-functions, namely #'linear-force and #'divide-and-conquer-force though future implementations may provide additional ones. (The defined Screamer protocol does not provide sufficient hooks for the user to define her own force functions.)

— Function: reorder cost-function terminate? order force-function

Returns an ordering force function based on arguments.

The force-function is any (potentially nondeterministic) function which can be applied to a variable as its single argument with the stipulation that a finite number of repeated applications will force the variable to be bound. The force-function need not return any useful value.

The ordering force function which is returned is a nondeterministic function which takes a single argument x. This argument x can be a list of values where each value may be either a variable or a non-variable.

The ordering force function repeatedly selects a "best" variable using using cost-function and order. Eg. using #'domain-size and #'< as the cost-function and order, then the variable with the smallest domain will be forced first.

Function terminate? is then called with the determined cost of that variable, and unless it returns true, force-function is applied to that variable to force constrain it.

Process then iterates until all variables become bound or terminate? returns true.

The ordering force function does not return any meaningful result.

Screamer currently provides two convenient force-functions, namely #'linear-force and #'divide-and-conquer-force though future implementations may provide additional ones. (The defined Screamer protocol does not provide sufficient hooks for the user to define her own force functions.)

— Function: linear-force x

Returns x if it is not a variable. If x is a bound variable then returns its value.

If x is an unbound variable then it must be known to have a countable set of potential values. In this case x is nondeterministically restricted to be equal to one of the values in this countable set, thus forcing x to be bound. The dereferenced value of x is then returned.

An unbound variable is known to have a countable set of potential values either if it is known to have a finite domain or if it is known to be integer valued.

An error is signalled if x is not known to have a finite domain and is not known to be integer valued.

Upon backtracking x will be bound to each potential value in turn, failing when there remain no untried alternatives.

Since the set of potential values is required only to be countable, not finite, the set of untried alternatives may never be exhausted and backtracking need not terminate. This can happen, for instance, when x is known to be an integer but lacks either an upper of lower bound.

The order in which the nondeterministic alternatives are tried is left unspecified to give future implementations leeway in incorporating heuristics in the process of determining a good search order.

— Function: divide-and-conquer-force variable

Returns x if x is not a variable. If x is a bound variable then returns its value. Otherwise implements a single binary-branching step of a divide-and-conquer search algorithm. There are always two alternatives, the second of which is tried upon backtracking.

If it is known to have a finite domain d then this domain is split into two halves and the value of x is nondeterministically restricted to be a member one of the halves. If x becomes bound by this restriction then its value is returned. Otherwise, x itself is returned.

If x is not known to have a finite domain but is known to be real and to have both lower and upper bounds then nondeterministically either the lower or upper bound is restricted to the midpoint between the lower and upper bound. If x becomes bound by this restriction then its dereferenced value is returned. Otherwise, x itself is returned.

An error is signalled if x is not known to be restricted to a finite domain and either is not known to be real or is not known to have both a lower and upper bound.

When the set of potential values may be infinite, users of divide-and-conquer-force may need to take care to fail when the range size of the variable becomes too small, unless other constraints on it are sufficient to guarentee failure.

The method of splitting the domain into two halves is left unspecified to give future implementations leeway in incorporating heuristics in the process of determining a good search order. All that is specified is that if the domain size is even prior to splitting, the halves are of equal size, while if the domain size is odd, the halves differ in size by at most one.

— Function: domain-size x

Returns the domain size of x.

If x is an integer variable with an upper and lower bound, its domain size is the one greater than the difference of its bounds. Eg. [integer 1:2] has domain size 2.

If x is a variable with an enumerated domain, its domain size is the size of that domain.

If x is a cons, or a variable whose value is a cons, its domain size is the product of the domain sizes of its car and cdr.

Other types of unbound variables have domain size nil, whereas non-variables have domain size of 1.

— Function: range-size x

Returns the range size of x. Range size is the size of the range values of x may take.

If x is an integer or a bound variable whose value is an integer, it has the range size 0. Reals and bound variables whose values are reals have range size 0.0.

Unbound variables known to be reals with an upper and lower bound have a range size the difference of their upper and lower bounds.

Other types of objects and variables have range size nil.

4.3 Miscellany

— Macro: define-screamer-package defined-package-name &body options

Convenience wrapper around defpackage. Passes its argument directly to defpackage, and automatically injects two additional options:

              (:shadowing-import-from :screamer :defun :multiple-value-bind :y-or-n-p)
              (:use :cl :screamer)

— Macro: best-value form1 objective-form &optional form2

First evaluates objective-form, which should evaluate to constraint variable v.

Then repeatedly evaluates FORM1 in non-deterministic context till it fails. If previous round of evaluation produced an upper bound b for v, the during the next round any change to v must provide an upper bound higher than b, or that that change fails.

If the last successful evaluation of form produced an upper bound for v, returns a list of two elements: the the primary value of FORM1 from that round, and the upper bound of v.

Otherwise if FORM2 is provided, returns the result of evaluating it, or else calls fails.

Note: this documentation string is entirely reverse-engineered. Lacking information on just how best-value was intended to work, it is hard to tell what is a bug, an accident of implementation, and what is a feature. If you have any insight into best-value, please send email to nikodemus@random-state.net.

— Function: booleanp x

Returns true iff x is t or nil.

— Function: count-trues &rest xs

Returns the number of time a non-NIL value occurs in its arguments.

— Function: purge function-name

Removes any information about function-name from Screamer's who-calls database.

— Function: unwind-trail

deprecated.

Calls all functions installed using trail, and removes them from the trail.

Using unwind-trail is dangerous, as trail is used by Screamer internally to eg. undo effects of local assignments -- hence users should never call it. It is provided at the moment only for backwards compatibility with classic Screamer.

— Function: unwedge-screamer

Removes any information about all user defined functions from Screamer's who-calls database.

— Variable: *dynamic-extent?*

Set to t to enable the dynamic extent optimization, nil to disable it. Default is platform dependent.

— Variable: *screamer-version*

The version of Screamer which is loaded. This is currently still 3.20, while we're considering how to express versions for this copy of Screamer in the future.

— Variable: *iscream?*

t if Screamer is running under ILisp/GNUEmacs with iscream.el loaded.

— Variable: *maximum-discretization-range*

Discretize integer variables whose range is not greater than this number. Discretize all integer variables if nil. Must be an integer or nil.

— Variable: *minimum-shrink-ratio*

Ignore propagations which reduce the range of a variable by less than this ratio.

— Variable: *strategy*

Strategy to use for funcallv and applyv. Either :gfc for Generalized Forward Checking, or :ac for Arc Consistency. Default is :gfc.


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Appendix A Function Index


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Appendix B Variable Index