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yap-6.3/CLPQR/clpqr/arith.pl
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2001-04-09 19:54:03 +00:00

669 lines
17 KiB
Prolog

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% clp(q,r) version 1.3.3 %
% %
% (c) Copyright 1992,1993,1994,1995 %
% Austrian Research Institute for Artificial Intelligence (OFAI) %
% Schottengasse 3 %
% A-1010 Vienna, Austria %
% %
% File: arith.pl %
% Author: Christian Holzbaur christian@ai.univie.ac.at %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% common code for R,Q, runtime predicates
%
% linearize evaluation, collect vars
%
% Todo: +) limited encoding length option
% +) 2 stage compilation: a) linearization
% b) specialization to R or Q
%
%
l2conj( [], true).
l2conj( [X|Xs], Conj) :-
( Xs = [], Conj = X
; Xs = [_|_], Conj = (X,Xc), l2conj( Xs, Xc)
).
% ----------------------------------------------------------------------
%
% float/1 coercion is allowed only at the outermost level in Q
%
compile_Q( Term, R, Code) :-
linearize( Term, Res, Linear),
specialize_Q( Linear, Code, Ct),
( Res = boolean, Ct = []
; Res = float(R), Ct = []
; Res = rat(N,D), Ct = [ putq(D,N,R) ]
).
%
% assumes normalized params and puts a normalized result
%
compile_Qn( Term, R, Code) :-
linearize( Term, Res, Linear),
specialize_Qn( Linear, Code, Ct),
( Res = boolean, Ct = []
; Res = float(R), Ct = []
; Res = rat(N,D), Ct = [ putq(D,N,R) ]
).
compile_case_signum_Qn( Term, Lt,Z,Gt, Code) :-
linearize( Term, rat(N,_), Linear),
specialize_Qn( Linear, Code,
[
compare( Rel, N, 0),
( Rel = <, Lt
; Rel = =, Z
; Rel = >, Gt
)
]).
specialize_Qn( []) --> [].
specialize_Qn( [Op|Ops]) -->
specialize_Qn( Op),
specialize_Qn( Ops).
%
specialize_Qn( op_var(rat(N,D),Var)) --> [ Var=rat(N,D) ]. % <--- here is the difference ---
specialize_Qn( op_integer(rat(I,1),I)) --> [].
specialize_Qn( op_rat(rat(N,D),N,D)) --> [].
specialize_Qn( op_float(rat(N,D),X)) --> [], { float_rat( X, N,D) }.
specialize_Qn( apply(R,Func)) -->
specialize_Q_fn( Func, R).
specialize_Q( []) --> [].
specialize_Q( [Op|Ops]) -->
specialize_Q( Op),
specialize_Q( Ops).
%
specialize_Q( op_var(rat(N,D),Var)) --> [ getq(Var,N,D) ].
specialize_Q( op_integer(rat(I,1),I)) --> [].
specialize_Q( op_rat(rat(N,D),N,D)) --> [], { D > 0 }.
specialize_Q( op_float(rat(N,D),X)) --> [], { float_rat( X, N,D) }.
specialize_Q( apply(R,Func)) -->
specialize_Q_fn( Func, R).
specialize_Q_fn( +rat(N,D), rat(N,D)) --> [].
specialize_Q_fn( numer(rat(N,_)), rat(N,1)) --> [].
specialize_Q_fn( denom(rat(_,D)), rat(D,1)) --> [].
specialize_Q_fn( -rat(N0,D), rat(N,D)) --> [ N is -N0 ].
specialize_Q_fn( abs(rat(Nx,Dx)), rat(N,D)) --> [ N is abs(Nx) ], {D=Dx}.
specialize_Q_fn( signum(rat(Nx,Dx)), rat(N,D)) --> [ signumq( Nx,Dx, N,D) ].
specialize_Q_fn( floor(rat(Nx,Dx)), rat(N,D)) --> [ floorq( Nx,Dx, N,D) ].
specialize_Q_fn( ceiling(rat(Nx,Dx)), rat(N,D)) --> [ ceilingq( Nx,Dx, N,D) ].
specialize_Q_fn( truncate(rat(Nx,Dx)), rat(N,D)) --> [ truncateq( Nx,Dx, N,D) ].
specialize_Q_fn( round(rat(Nx,Dx)), rat(N,D)) --> [ roundq( Nx,Dx, N,D) ].
specialize_Q_fn( log(rat(Nx,Dx)), rat(N,D)) --> [ logq( Nx,Dx, N,D) ].
specialize_Q_fn( exp(rat(Nx,Dx)), rat(N,D)) --> [ expq( Nx,Dx, N,D) ].
specialize_Q_fn( sin(rat(Nx,Dx)), rat(N,D)) --> [ sinq( Nx,Dx, N,D) ].
specialize_Q_fn( cos(rat(Nx,Dx)), rat(N,D)) --> [ cosq( Nx,Dx, N,D) ].
specialize_Q_fn( tan(rat(Nx,Dx)), rat(N,D)) --> [ tanq( Nx,Dx, N,D) ].
specialize_Q_fn( asin(rat(Nx,Dx)), rat(N,D)) --> [ asinq( Nx,Dx, N,D) ].
specialize_Q_fn( acos(rat(Nx,Dx)), rat(N,D)) --> [ acosq( Nx,Dx, N,D) ].
specialize_Q_fn( atan(rat(Nx,Dx)), rat(N,D)) --> [ atanq( Nx,Dx, N,D) ].
specialize_Q_fn( float(rat(Nx,Dx)), float(F)) --> [ rat_float( Nx,Dx, F) ].
%
specialize_Q_fn( rat(Nx,Dx)+rat(Ny,Dy), rat(N,D)) --> [ addq( Nx,Dx, Ny,Dy, N,D) ].
specialize_Q_fn( rat(Nx,Dx)-rat(Ny,Dy), rat(N,D)) --> [ subq( Nx,Dx, Ny,Dy, N,D) ].
specialize_Q_fn( rat(Nx,Dx)*rat(Ny,Dy), rat(N,D)) --> [ mulq( Nx,Dx, Ny,Dy, N,D) ].
specialize_Q_fn( rat(Nx,Dx)/rat(Ny,Dy), rat(N,D)) --> [ divq( Nx,Dx, Ny,Dy, N,D) ].
specialize_Q_fn( exp(rat(Nx,Dx),rat(Ny,Dy)), rat(N,D)) --> [ expq( Nx,Dx, Ny,Dy, N,D) ].
specialize_Q_fn( min(rat(Nx,Dx),rat(Ny,Dy)), rat(N,D)) --> [ minq( Nx,Dx, Ny,Dy, N,D) ].
specialize_Q_fn( max(rat(Nx,Dx),rat(Ny,Dy)), rat(N,D)) --> [ maxq( Nx,Dx, Ny,Dy, N,D) ].
%
specialize_Q_fn( rat(Nx,Dx) < rat(Ny,Dy), boolean) --> [ comq( Nx,Dx, Ny,Dy, <) ].
specialize_Q_fn( rat(Nx,Dx) > rat(Ny,Dy), boolean) --> [ comq( Ny,Dy, Nx,Dx, <) ].
specialize_Q_fn( rat(Nx,Dx) =< rat(Ny,Dy), boolean) --> [ comq( Nx,Dx, Ny,Dy, Rel), Rel \== (>) ].
specialize_Q_fn( rat(Nx,Dx) >= rat(Ny,Dy), boolean) --> [ comq( Ny,Dy, Nx,Dx, Rel), Rel \== (>) ].
specialize_Q_fn( rat(Nx,Dx) =\= rat(Ny,Dy), boolean) --> [ comq( Nx,Dx, Ny,Dy, Rel), Rel \== (=) ].
specialize_Q_fn( rat(Nx,Dx) =:= rat(Ny,Dy), boolean) -->
%
% *normalized* rationals
%
( {Nx = Ny} -> [] ; [ Nx = Ny ] ),
( {Dx = Dy} -> [] ; [ Dx = Dy ] ).
% ----------------------------------------------------------------------
compile_R( Term, R, Code) :-
linearize( Term, Res, Linear),
specialize_R( Linear, Code, Ct),
( Res == boolean ->
Ct = [], R = boolean
; float(Res) ->
Ct = [ R=Res ]
;
Ct = [ R is Res ]
).
compile_case_signum_R( Term, Lt,Z,Gt, Code) :-
eps( Eps, NegEps),
linearize( Term, Res, Linear),
specialize_R( Linear, Code,
[
Rv is Res,
( Rv < NegEps -> Lt
; Rv > Eps -> Gt
; Z
)
]).
specialize_R( []) --> [].
specialize_R( [Op|Ops]) -->
specialize_R( Op),
specialize_R( Ops).
%
specialize_R( op_var(Var,Var)) --> [].
specialize_R( op_integer(R,I)) --> [], { R is float(I) }.
specialize_R( op_rat(R,N,D)) --> [], { rat_float( N,D, R) }.
specialize_R( op_float(F,F)) --> [].
specialize_R( apply(R,Func)) -->
specialize_R_fn( Func, R).
specialize_R_fn( signum(X), S) -->
( {var(X)} ->
{Xe=X}
;
[ Xe is X ]
),
{
eps( Eps, NegEps)
},
[
( Xe < NegEps -> S = -1.0
; Xe > Eps -> S = 1.0
; S = 0.0
)
].
specialize_R_fn( +X, X) --> [].
specialize_R_fn( -X, -X) --> [].
specialize_R_fn( abs(X), abs(X)) --> [].
specialize_R_fn( floor(X), float(floor(/*float?*/X))) --> [].
specialize_R_fn( ceiling(X), float(ceiling(/*float?*/X))) --> [].
specialize_R_fn( truncate(X), float(truncate(/*float?*/X))) --> [].
specialize_R_fn( round(X), float(round(/*float?*/X))) --> [].
specialize_R_fn( log(X), log(X)) --> [].
specialize_R_fn( exp(X), exp(X)) --> [].
specialize_R_fn( sin(X), sin(X)) --> [].
specialize_R_fn( cos(X), cos(X)) --> [].
specialize_R_fn( tan(X), tan(X)) --> [].
specialize_R_fn( asin(X), asin(X)) --> [].
specialize_R_fn( acos(X), acos(X)) --> [].
specialize_R_fn( atan(X), atan(X)) --> [].
specialize_R_fn( float(X), float(X)) --> [].
%
specialize_R_fn( X+Y, X+Y) --> [].
specialize_R_fn( X-Y, X-Y) --> [].
specialize_R_fn( X*Y, X*Y) --> [].
specialize_R_fn( X/Y, X/Y) --> [].
specialize_R_fn( exp(X,Y), exp(X,Y)) --> [].
specialize_R_fn( min(X,Y), min(X,Y)) --> [].
specialize_R_fn( max(X,Y), max(X,Y)) --> [].
/**/
%
% An absolute eps is of course not very meaningful.
% An eps scaled by the magnitude of the operands participating
% in the comparison is too expensive to support in Prolog on the
% other hand ...
%
%
% -eps 0 +eps
% ---------------[----|----]----------------
% < 0 > 0
% <-----------] [----------->
% =< 0
% <---------------------]
% >= 0
% [--------------------->
%
%
specialize_R_fn( X < Y, boolean) -->
{
eps( Eps, NegEps)
},
( {X==0} ->
[ Y > Eps ]
; {Y==0} ->
[ X < NegEps ]
;
[ X-Y < NegEps ]
).
specialize_R_fn( X > Y, boolean) --> specialize_R_fn( Y < X, boolean).
specialize_R_fn( X =< Y, boolean) -->
{
eps( Eps, _)
},
[ X-Y < Eps ].
specialize_R_fn( X >= Y, boolean) --> specialize_R_fn( Y =< X, boolean).
specialize_R_fn( X =:= Y, boolean) -->
{
eps( Eps, NegEps)
},
( {X==0} ->
[ Y >= NegEps, Y =< Eps ]
; {Y==0} ->
[ X >= NegEps, X =< Eps ]
;
[
Diff is X-Y,
Diff =< Eps,
Diff >= NegEps
]
).
specialize_R_fn( X =\= Y, boolean) -->
{
eps( Eps, NegEps)
},
[
Diff is X-Y,
( Diff < NegEps -> true ; Diff > Eps )
].
/**/
/**
%
% b30427, pp.218
%
specialize_R_fn( X > Y, boolean) --> specialize_R_fn( Y < X, boolean).
specialize_R_fn( X < Y, boolean) -->
[ scaled_eps(X,Y,E), Y-X > E ].
specialize_R_fn( X >= Y, boolean) --> specialize_R_fn( Y =< X, boolean).
specialize_R_fn( X =< Y, boolean) -->
[ scaled_eps(X,Y,E), X-Y =< E ]. % \+ >
specialize_R_fn( X =:= Y, boolean) -->
[ scaled_eps(X,Y,E), abs(X-Y) =< E ].
specialize_R_fn( X =\= Y, boolean) -->
[ scaled_eps(X,Y,E), abs(X-Y) > E ].
scaled_eps( X, Y, Eps) :-
exponent( X, Ex),
exponent( Y, Ey),
arith_eps( E),
Max is max(Ex,Ey),
( Max < 0 ->
Eps is E/(1<<Max)
;
Eps is E*(1<<Max)
).
exponent( X, E) :-
A is abs(X),
float_rat( A, N, D),
E is msb(N+1)-msb(D).
**/
% ----------------------------------------------------------------------
linearize( Term, Res, Linear) :-
linearize( Term, Res, Vs,[], Lin, []),
keysort( Vs, Vss),
( Vss = [], Linear = Lin
; Vss = [V|Vt], join_vars( Vt, V, Linear, Lin)
).
%
% flatten the evaluation, collect variables, shared by Q,R,...
%
linearize( X, R, [X-R|Vs],Vs) --> {var(X)}, !, [ ].
linearize( X, R, Vs,Vs) --> {integer(X)}, !, [ op_integer(R,X) ].
linearize( X, R, Vs,Vs) --> {float(X)}, !, [ op_float(R,X) ].
linearize( rat(N,D), R, Vs,Vs) --> !, [ op_rat(R,N,D) ].
linearize( Term, R, V0,V1) -->
{
functor( Term, N, A),
functor( Skeleton, N, A)
},
linearize_args( A, Term, Skeleton, V0,V1), [ apply(R,Skeleton) ].
linearize_args( 0, _, _, Vs,Vs) --> [].
linearize_args( N, T, S, V0,V2) -->
{
arg( N, T, Arg),
arg( N, S, Res),
N1 is N-1
},
linearize( Arg, Res, V0,V1),
linearize_args( N1, T, S, V1,V2).
join_vars( [], Y-Ry) --> [ op_var(Ry,Y) ].
join_vars( [X-Rx|Xs], Y-Ry) -->
( {X==Y} ->
{Rx=Ry},
join_vars( Xs, Y-Ry)
;
[ op_var(Ry,Y) ],
join_vars( Xs, X-Rx)
).
% ---------------------------------- runtime system ---------------------------
%
% C candidate
%
limit_encoding_length( 0,D, _, 0,D) :- !. % msb ...
limit_encoding_length( N,D, Bits, Nl,Dl) :-
Shift is min(max(msb(abs(N)),msb(D))-Bits,
min(msb(abs(N)),msb(D))),
Shift > 0,
!,
Ns is N>>Shift,
Ds is D>>Shift,
Gcd is gcd(Ns,Ds),
Nl is Ns//Gcd,
Dl is Ds//Gcd.
limit_encoding_length( N,D, _, N,D).
%
% No longer backconvert to integer
%
% putq( 1, N, N) :- !.
putq( D, N, rat(N,D)).
getq( Exp, N,D) :- var( Exp), !,
raise_exception( instantiation_error(getq(Exp,N,D),1)).
getq( I, I,1) :- integer(I), !.
getq( F, N,D) :- float( F), !, float_rat( F, N,D).
getq( rat(N,D), N,D) :-
integer( N),
integer( D),
D > 0,
1 =:= gcd(N,D).
%
% actually just a joke to have this stuff in Q ...
%
expq( N,D, N1,D1) :- rat_float( N,D, X), F is exp(X), float_rat( F, N1,D1).
logq( N,D, N1,D1) :- rat_float( N,D, X), F is log(X), float_rat( F, N1,D1).
sinq( N,D, N1,D1) :- rat_float( N,D, X), F is sin(X), float_rat( F, N1,D1).
cosq( N,D, N1,D1) :- rat_float( N,D, X), F is cos(X), float_rat( F, N1,D1).
tanq( N,D, N1,D1) :- rat_float( N,D, X), F is tan(X), float_rat( F, N1,D1).
asinq( N,D, N1,D1) :- rat_float( N,D, X), F is asin(X), float_rat( F, N1,D1).
acosq( N,D, N1,D1) :- rat_float( N,D, X), F is acos(X), float_rat( F, N1,D1).
atanq( N,D, N1,D1) :- rat_float( N,D, X), F is atan(X), float_rat( F, N1,D1).
%
% for integer powers we can do it in Q
%
expq( Nx,Dx, Ny,Dy, N,D) :-
( Dy =:= 1 ->
( Ny >= 0 ->
powq( Ny, Nx,Dx, 1,1, N,D)
;
Nabs is -Ny,
powq( Nabs, Nx,Dx, 1,1, N1,D1),
( N1 < 0 ->
N is -D1, D is -N1
;
N = D1, D = N1
)
)
;
rat_float( Nx,Dx, Fx),
rat_float( Ny,Dy, Fy),
F is exp(Fx,Fy),
float_rat( F, N, D)
).
%
% positive integer powers of rational
%
powq( 0, _, _, Nt,Dt, Nt,Dt) :- !.
powq( 1, Nx,Dx, Nt,Dt, Nr,Dr) :- !, mulq( Nx,Dx, Nt,Dt, Nr,Dr).
powq( N, Nx,Dx, Nt,Dt, Nr,Dr) :-
N1 is N >> 1,
( N /\ 1 =:= 0 ->
Nt1 = Nt, Dt1 = Dt
;
mulq( Nx,Dx, Nt,Dt, Nt1,Dt1)
),
mulq( Nx,Dx, Nx,Dx, Nxx,Dxx),
powq( N1, Nxx,Dxx, Nt1,Dt1, Nr,Dr).
/*
%
% the choicepoint ruins the party ...
%
mulq( Na,Da, Nb,Db, Nc,Dc) :-
Gcd1 is gcd(Na,Db),
( Gcd1 =:= 1 -> Na1=Na,Db1=Db; Na1 is Na//Gcd1,Db1 is Db//Gcd1 ),
Gcd2 is gcd(Nb,Da),
( Gcd2 =:= 1 -> Nb1=Nb,Da1=Da; Nb1 is Nb//Gcd2,Da1 is Da//Gcd2 ),
Nc is Na1 * Nb1,
Dc is Da1 * Db1.
*/
mulq( Na,Da, Nb,Db, Nc,Dc) :-
Gcd1 is gcd(Na,Db),
Na1 is Na//Gcd1,
Db1 is Db//Gcd1,
Gcd2 is gcd(Nb,Da),
Nb1 is Nb//Gcd2,
Da1 is Da//Gcd2,
Nc is Na1 * Nb1,
Dc is Da1 * Db1.
/*
divq( Na,Da, Nb,Db, Nc,Dc) :-
Gcd1 is gcd(Na,Nb),
( Gcd1 =:= 1 -> Na1=Na,Nb1=Nb; Na1 is Na//Gcd1,Nb1 is Nb//Gcd1 ),
Gcd2 is gcd(Da,Db),
( Gcd2 =:= 1 -> Da1=Da,Db1=Db; Da1 is Da//Gcd2,Db1 is Db//Gcd2 ),
( Nb1 < 0 -> % keep denom positive !!!
Nc is -(Na1 * Db1),
Dc is Da1 * (-Nb1)
;
Nc is Na1 * Db1,
Dc is Da1 * Nb1
).
*/
divq( Na,Da, Nb,Db, Nc,Dc) :-
Gcd1 is gcd(Na,Nb),
Na1 is Na//Gcd1,
Nb1 is Nb//Gcd1,
Gcd2 is gcd(Da,Db),
Da1 is Da//Gcd2,
Db1 is Db//Gcd2,
( Nb1 < 0 -> % keep denom positive !!!
Nc is -(Na1 * Db1),
Dc is Da1 * (-Nb1)
;
Nc is Na1 * Db1,
Dc is Da1 * Nb1
).
%
% divq_11( Nb,Db, Nc,Dc) :- divq( 1,1, Nb,Db, Nc,Dc).
%
divq_11( Nb,Db, Nc,Dc) :-
( Nb < 0 -> % keep denom positive !!!
Nc is -Db,
Dc is -Nb
;
Nc is Db,
Dc is Nb
).
'divq_-11'( Nb,Db, Nc,Dc) :-
( Nb < 0 -> % keep denom positive !!!
Nc is Db,
Dc is -Nb
;
Nc is -Db,
Dc is Nb
).
/*
addq( Na,Da, Nb,Db, Nc,Dc) :-
Gcd1 is gcd(Da,Db),
( Gcd1 =:= 1 -> % This is the case (for random input) with
% probability 6/(pi**2).
Nc is Na*Db + Nb*Da,
Dc is Da*Db
;
T is Na*(Db//Gcd1) + Nb*(Da//Gcd1),
Gcd2 is gcd(T,Gcd1),
Nc is T//Gcd2,
Dc is (Da//Gcd1) * (Db//Gcd2)
).
*/
addq( Na,Da, Nb,Db, Nc,Dc) :-
Gcd1 is gcd(Da,Db),
T is Na*(Db//Gcd1) + Nb*(Da//Gcd1),
Gcd2 is gcd(T,Gcd1),
Nc is T//Gcd2,
Dc is (Da//Gcd1) * (Db//Gcd2).
/*
subq( Na,Da, Nb,Db, Nc,Dc) :-
Gcd1 is gcd(Da,Db),
( Gcd1 =:= 1 -> % This is the case (for random input) with
% probability 6/(pi**2).
Nc is Na*Db - Nb*Da,
Dc is Da*Db
;
T is Na*(Db//Gcd1) - Nb*(Da//Gcd1),
Gcd2 is gcd(T,Gcd1),
Nc is T//Gcd2,
Dc is (Da//Gcd1) * (Db//Gcd2)
).
*/
subq( Na,Da, Nb,Db, Nc,Dc) :-
Gcd1 is gcd(Da,Db),
T is Na*(Db//Gcd1) - Nb*(Da//Gcd1),
Gcd2 is gcd(T,Gcd1),
Nc is T//Gcd2,
Dc is (Da//Gcd1) * (Db//Gcd2).
comq( Na,Da, Nb,Db, S) :- % todo: avoid multiplication by looking a signs first !!!
Xa is Na * Db,
Xb is Nb * Da,
compare( S, Xa, Xb).
minq( Na,Da, Nb,Db, N,D) :-
comq( Na,Da, Nb,Db, Rel),
( Rel = =, N=Na, D=Da
; Rel = <, N=Na, D=Da
; Rel = >, N=Nb, D=Db
).
maxq( Na,Da, Nb,Db, N,D) :-
comq( Na,Da, Nb,Db, Rel),
( Rel = =, N=Nb, D=Db
; Rel = <, N=Nb, D=Db
; Rel = >, N=Na, D=Da
).
signumq( N,_, S,1) :-
compare( Rel, N, 0),
rel2sig( Rel, S).
rel2sig( <, -1).
rel2sig( >, 1).
rel2sig( =, 0).
% -----------------------------------------------------------------------------
truncateq( N,D, R,1) :-
R is N // D.
%
% returns the greatest integral value less than or
% equal to x. This corresponds to IEEE rounding toward nega-
% tive infinity
%
floorq( N,1, N,1) :- !.
floorq( N,D, R,1) :-
( N < 0 ->
R is N // D - 1
;
R is N // D
).
%
% returns the least integral value greater than or
% equal to x. This corresponds to IEEE rounding toward posi-
% tive infinity
%
ceilingq( N,1, N,1) :- !.
ceilingq( N,D, R,1) :-
( N > 0 ->
R is N // D + 1
;
R is N // D
).
%
% rounding towards zero
%
roundq( N,D, R,1) :-
% rat_float( N,D, F), % cheating, can do that in Q
% R is integer(round(F)).
I is N//D,
subq( N,D, I,1, Rn,Rd),
Rna is abs(Rn),
( comq( Rna,Rd, 1,2, <) ->
R = I
; I >= 0 ->
R is I+1
;
R is I-1
).
% ------------------------------- rational -> float -------------------------------
%
% The problem here is that SICStus converts BIG fractions N/D into +-nan
% if it does not fit into a float
%
% | ?- X is msb(integer(1.0e+308)).
% X = 1023
%
rat_float( Nx,Dx, F) :-
limit_encoding_length( Nx,Dx, 1023, Nxl,Dxl),
F is Nxl / Dxl.
% ------------------------------- float -> rational -------------------------------
float_rat( F, N, D) :-
float_rat( 100, F, F, 1,0,0,1, N0,D0), % at most 100 iterations
( D0 < 0 -> % sign normalization
D is -D0,
N is -N0
;
D = D0,
N = N0
).
float_rat( 0, _, _, Na,_,Da,_, Na,Da) :- !.
float_rat( _, _, X, Na,_,Da,_, Na,Da) :-
0.0 =:= abs(X-Na/Da),
!.
float_rat( N, F, X, Na,Nb,Da,Db, Nar,Dar) :-
I is integer(F),
( I =:= F -> % guard against zero division
Nar is Na*I+Nb, % 1.0 -> 1/1 and not 0/1 (first iter.) !!!
Dar is Da*I+Db
;
Na1 is Na*I+Nb,
Da1 is Da*I+Db,
F1 is 1/(F-I),
N1 is N-1,
float_rat( N1, F1, X, Na1,Na,Da1,Da, Nar,Dar)
).