File: [local] / OpenXM / src / asir-port / cgi / r-fd.rr (download)
Revision 1.10, Wed Mar 11 07:28:45 2015 UTC (9 years, 3 months ago) by takayama
Branch: MAIN
Changes since 1.9: +2 -1
lines
A file for test functions tmp_hook.rr will be loaded.
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/* $OpenXM: OpenXM/src/asir-port/cgi/r-fd.rr,v 1.10 2015/03/11 07:28:45 takayama Exp $ */
load("tk_fd.rr")$
import("tk_r.rr")$
import("oh_number.rr")$
import("test_hook.rr")$ /* To put overriden functions */
/* r_d2rat(0.3) --> precision loss in truncation if not ctrl("bigfloat",1) */
ctrl("bigfloat",1)$
def r_d2rat(Y,Prec) {
if ((type(Y) ==4)||(type(Y)==5)||(type(Y)==6)) return map(r_d2rat,Y,Prec);
if ((type(Y) == 1) && (ntype(Y) >= 1)) {
S = rtostr(Y); Y = "eval(("+S+")*exp(0));";
/* print(Y); */
Y = eval_str(Y);
/* printf("Y=%a\n",Y); */
/* return oh_number.rats(Y); */
return rats2(Y | prec=Prec); /* temporary */
}else return Y;
}
def r_ahvec(A,B,C,Y) {
if (type(getopt(prec))<0) Prec=20;
else Prec=getopt(prec);
Y = r_d2rat(Y,Prec);
Ans=a_ahvec(A,B,C,Y);
/* Fans=map(rtostr,map(tk_fd.tk_number_rattofloat,Ans)); */
Fans=map(deval,Ans);
Fans = tk_r.asir2r_c(Fans);
return Fans;
}
def a_ahvec(A,B,C,Y) {
R=tk_fd.ahvec_abc(A,B,C,Y|all=1);
Gamma=R[1];
Der=R[0];
Z=R[2]*Gamma;
Der2 = newvect(length(Der));
for (I=0; I<length(Der); I++) Der2[I] = Der[I]*Gamma;
Der2 = vtol(Der2);
Ans=cons(Z,Der2);
return(Ans);
}
/* temporary */
def rats2(X) {
if (type(getopt(prec))<0) Prec=20;
else Prec=getopt(prec);
if (X == 0) return 0;
Sign=1;
if (X <0) {Sign=-1 ; X = -X;}
Digit = number_floor(eval(log(X)/log(10)));
Num = number_floor((X/(10^Digit))*10^Prec);
return Sign*(Num/(10^Prec))*(10^Digit);
}
def checkrats2() {
for (I=0; I<10; I++) {
Sign=(-1)^(random()%2);
X = eval(exp(0)*(random()/random())*10^(Sign*(random()%300))); /* 308 */
printf("X=%a\n",X);
Y = rats2(X);
printf("Y=%a\n",Y);
if (number_abs(eval(Y*exp(0))/X-1) > 0.0000001) {
printf("error: X = %a, Y=%a\n",X,Y);
}
}
}
def a_expect(A,B,C,Y) {
E=tk_fd.expectation_abc(A,B,C,Y);
return(E);
}
def r_expect(A,B,C,Y) {
if (type(getopt(prec))<0) Prec=20;
else Prec=getopt(prec);
Y = r_d2rat(Y,Prec);
E=a_expect(A,B,C,Y);
Fans=map_deval(E);
Fans = tk_r.asir2r_c(Fans);
return Fans;
}
def r_ahmat(A,B,C,Y) {
if (type(getopt(prec))<0) Prec=20;
else Prec=getopt(prec);
Y = r_d2rat(Y,Prec);
Ans=a_ahmat(A,B,C,Y);
Fans=map_deval(Ans);
Fans = tk_r.asir2r_c(Fans);
return Fans;
}
def a_ahmat(A,B,C,Y) {
return(tk_fd.ahmat_abc(A,B,C,Y));
}
def r_log_ahmat(A,B,C,Y) {
if (type(getopt(prec))<0) Prec=20;
else Prec=getopt(prec);
Y = r_d2rat(Y,Prec);
Ans=a_log_ahmat(A,B,C,Y);
Fans=map_deval(Ans);
Fans = tk_r.asir2r_c(Fans);
return Fans;
}
def a_log_ahmat(A,B,C,Y) {
Ans=tk_fd.log_ahmat_abc(A,B,C,Y);
return Ans;
}
def map_deval(L) {
if (type(L) >=4) return(map(map_deval,L));
return(deval(L));
}
end$