average=N/(double)(M);
double[] ebins = buildVector(M,average);
// Check fingerprint of int32()
localflag=false;
Ranlim32 myran1 = new Ranlim32(17);
for (i=0;i<10;i++){
int r = myran1.int32();
localflag=localflag || (r != fingerprint1[i]);
}
globalflag = globalflag || localflag;
if (localflag) {
fail("*** Ranlim32: int32() does not match fingerprint");
}
// Check statistics
for (i=0;i<M;i++) bins[i]=0;
for (i=0;i<N;i++) bins[myran1.int32p()%M] += 1;
chsone(bins,ebins,dfW,chisqW,probW);df = dfW.val; chisq = chisqW.val; prob = probW.val;
System.out.printf(" chisq,int32(): %f prob: %f\n",chisq, prob);
localflag = (prob < 0.05);
globalflag = globalflag || localflag;
if (localflag) {
fail("*** Ranlim32: int32() does not give distribution with correct variance");
}
// Check fingerprint of doub()
Ranlim32 myran2 = new Ranlim32(17);
localflag=false;
for (i=0;i<10;i++)
localflag=localflag || abs(myran2.doub()-fingerprint2[i])>sbeps;
globalflag = globalflag || localflag;
if (localflag) {
fail("*** Ranlim32: doub() does not match fingerprint");
}
// Check statistics
for (i=0;i<M;i++) bins[i]=0;
for (i=0;i<N;i++) bins[(int)(floor(M*myran2.doub()))] += 1;
chsone(bins,ebins,dfW,chisqW,probW);df = dfW.val; chisq = chisqW.val; prob = probW.val;
System.out.printf(" chisq,int32(): %f prob: %f\n",chisq, prob);
localflag = (prob < 0.05);
globalflag = globalflag || localflag;
if (localflag) {