Amb
You are encouraged to solve this task according to the task description, using any language you may know.
Define and give an example of the Amb operator.
The Amb operator takes some number of expressions (or values if that's simpler in the language) and nondeterministically yields the one or fails if given no parameter, amb returns the value that doesn't lead to failure.
The example is using amb to choose four words from the following strings:
set 1: "the" "that" "a"
set 2: "frog" "elephant" "thing"
set 3: "walked" "treaded" "grows"
set 4: "slowly" "quickly"
It is a failure if the last character of word 1 is not equal to the first character of word 2, and similarly with word 2 and word 3, as well as word 3 and word 4. (the only successful sentence is "that thing grows slowly").
Ada
<ada> with Ada.Strings.Unbounded; use Ada.Strings.Unbounded; with Ada.Text_IO; use Ada.Text_IO;
procedure Test_Amb is
type Alternatives is array (Positive range <>) of Unbounded_String;
type Amb (Count : Positive) is record This : Positive := 1; Left : access Amb; List : Alternatives (1..Count); end record; function Image (L : Amb) return String is begin return To_String (L.List (L.This)); end Image;
function "/" (L, R : String) return Amb is Result : Amb (2); begin Append (Result.List (1), L); Append (Result.List (2), R); return Result; end "/"; function "/" (L : Amb; R : String) return Amb is Result : Amb (L.Count + 1); begin Result.List (1..L.Count) := L.List ; Append (Result.List (Result.Count), R); return Result; end "/";
function "=" (L, R : Amb) return Boolean is Left : Unbounded_String renames L.List (L.This); begin return Element (Left, Length (Left)) = Element (R.List (R.This), 1); end "="; procedure Failure (L : in out Amb) is begin loop if L.This < L.Count then L.This := L.This + 1; else L.This := 1; Failure (L.Left.all); end if; exit when L.Left = null or else L.Left.all = L; end loop; end Failure;
procedure Join (L : access Amb; R : in out Amb) is begin R.Left := L; while L.all /= R loop Failure (R); end loop; end Join;
W_1 : aliased Amb := "the" / "that" / "a"; W_2 : aliased Amb := "frog" / "elephant" / "thing"; W_3 : aliased Amb := "walked" / "treaded" / "grows"; W_4 : aliased Amb := "slowly" / "quickly";
begin
Join (W_1'Access, W_2); Join (W_2'Access, W_3); Join (W_3'Access, W_4); Put_Line (Image (W_1) & ' ' & Image (W_2) & ' ' & Image (W_3) & ' ' & Image (W_4));
end Test_Amb; </ada> The type Amb is implemented with the operations "/" to construct it from strings. Each instance keeps its state. The operation Failure performs back tracing. Join connects two elements into a chain. The implementation propagates Constraint_Error when matching fails. Sample output:
that thing grows slowly
C
Note: This uses the continuations code from http://homepage.mac.com/sigfpe/Computing/continuations.html <c> typedef char * amb_t;
amb_t amb(size_t argc, ...) {
amb_t *choices; va_list ap; int i; if(argc) { choices = malloc(argc*sizeof(amb_t)); va_start(ap, argc); i = 0; do { choices[i] = va_arg(ap, amb_t); } while(++i < argc); va_end(ap); i = 0; do { TRY(choices[i]); } while(++i < argc); free(choices); } FAIL;
}
int joins(char *left, char *right) { return left[strlen(left)-1] == right[0]; }
int _main() {
char *w1,*w2,*w3,*w4; w1 = amb(3, "the", "that", "a"); w2 = amb(3, "frog", "elephant", "thing"); w3 = amb(3, "walked", "treaded", "grows"); w4 = amb(2, "slowly", "quickly"); if(!joins(w1, w2)) amb(0); if(!joins(w2, w3)) amb(0); if(!joins(w3, w4)) amb(0); printf("%s %s %s %s\n", w1, w2, w3, w4); return EXIT_SUCCESS;
} </c>
Haskell
Haskell's List monad returns all the possible choices. Use the "head" function on the result if you just want one.
import Control.Monad amb = id joins left right = last left == head right example = do w1 <- amb ["the", "that", "a"] w2 <- amb ["frog", "elephant", "thing"] w3 <- amb ["walked", "treaded", "grows"] w4 <- amb ["slowly", "quickly"] unless (joins w1 w2) (amb []) unless (joins w2 w3) (amb []) unless (joins w3 w4) (amb []) return (unwords [w1, w2, w3, w4])
Usually this would be written in Haskell as:
example = do w1 <- ["the", "that", "a"] w2 <- ["frog", "elephant", "thing"] w3 <- ["walked", "treaded", "grows"] w4 <- ["slowly", "quickly"] guard (joins w1 w2) guard (joins w2 w3) guard (joins w3 w4) return (unwords [w1, w2, w3, w4])
In this particular case it can also be written as a List Comprehension (but not in general if there are multiple if-then-else branches):
example = [unwords [w1, w2, w3, w4] | w1 <- ["the", "that", "a"], w2 <- ["frog", "elephant", "thing"], w3 <- ["walked", "treaded", "grows"], w4 <- ["slowly", "quickly"], joins w1 w2, joins w2 w3, joins w3 w4]
Prolog
amb(E, [E|_]). amb(E, [_|ES]) :- amb(E, ES). joins(Left, Right) :- append(_, [T], Left), append([R], _, Right), ( T \= R -> amb(_, []) % (explicitly using amb fail as required) ; true ). amb_example([Word1, Word2, Word3, Word4]) :- amb(Word1, ["the","that","a"]), amb(Word2, ["frog","elephant","thing"]), amb(Word3, ["walked","treaded","grows"]), amb(Word4, ["slowly","quickly"]), joins(Word1, Word2), joins(Word2, Word3), joins(Word3, Word4).
Python
Python does not have the amb function, but, in the spirit of the task, here is an implementation in Python (version 2.6) that uses un-ordered sets of words; the itertools.product function to loop through all the word sets lazily; and a generator comprehension to lazily give the first answer: <python>>>> from itertools import product >>> sets = [ set('the that a'.split()), set('frog elephant thing'.split()), set('walked treaded grows'.split()), set('slowly quickly'.split()) ] >>> success = ( sentence for sentence in product(*sets)
if all(sentence[word][-1]==sentence[word+1][0] for word in range(3)) )
>>> success.next() ('that', 'thing', 'grows', 'slowly') >>> </python>
Ruby
class Amb
class ExhaustedError < RuntimeError; end
def initialize @fail = proc { fail ExhaustedError, "amb tree exhausted" } end
def choose(*choices) prev_fail = @fail callcc { |sk| choices.each { |choice|
callcc { |fk| @fail = proc { @fail = prev_fail fk.call(:fail) } if choice.respond_to? :call sk.call(choice.call) else sk.call(choice) end }
} @fail.call } end
def failure choose end
def assert(cond) failure unless cond end
end
A = Amb.new w1 = A.choose("the", "that", "a") w2 = A.choose("frog", "elephant", "thing") w3 = A.choose("walked", "treaded", "grows") w4 = A.choose("slowly", "quickly")
A.choose() if not w1[-1] == w2[0] A.choose() if not w2[-1] == w3[0] A.choose() if not w3[-1] == w4[0]
puts w1, w2, w3, w4
Scheme
<scheme> (define fail
(lambda () (error "Amb tree exhausted")))
(define-syntax amb
(syntax-rules () ((AMB) (FAIL)) ; Two shortcuts. ((AMB expression) expression) ((AMB expression ...) (LET ((FAIL-SAVE FAIL)) ((CALL-WITH-CURRENT-CONTINUATION ; Capture a continuation to (LAMBDA (K-SUCCESS) ; which we return possibles. (CALL-WITH-CURRENT-CONTINUATION (LAMBDA (K-FAILURE) ; K-FAILURE will try the next (SET! FAIL K-FAILURE) ; possible expression. (K-SUCCESS ; Note that the expression is (LAMBDA () ; evaluated in tail position expression)))) ; with respect to AMB. ... (SET! FAIL FAIL-SAVE) ; Finally, if this is reached, FAIL-SAVE))))))) ; we restore the saved FAIL.
(let ((w-1 (amb "the" "that" "a"))
(w-2 (amb "frog" "elephant" "thing")) (w-3 (amb "walked" "treaded" "grows")) (w-4 (amb "slowly" "quickly"))) (define (joins? left right) (equal? (string-ref left (- (string-length left) 1)) (string-ref right 0))) (if (joins? w-1 w-2) '() (amb)) (if (joins? w-2 w-3) '() (amb)) (if (joins? w-3 w-4) '() (amb)) (list w-1 w-2 w-3 w-4))
</scheme>