Logo ROOT   6.07/09
Reference Guide
testrandom.C File Reference
Tutorials » Math tutorials

Detailed Description

View in nbviewer Open in SWAN Performance test of all the ROOT random generator (TRandom, TRandom1, TRandom2 and TRandom3) Tests the generator TRandom3 against some ref values and creates a timing table against TRandom, TRandom1 and TRandom2.

E.g. on an an Intel Xeon Quad-core Harpertown (E5410) 2.33 GHz running Linux SLC4 64 bit and compiled with gcc 3.4

Distribution nanoseconds/call
TRandom TRandom1 TRandom2 TRandom3
Rndm.............. 5.000 105.000 7.000 10.000
RndmArray......... 4.000 104.000 6.000 9.000
Gaus.............. 36.000 180.000 40.000 48.000
Rannor............ 118.000 220.000 120.000 124.000
Landau............ 22.000 123.000 26.000 31.000
Exponential....... 93.000 198.000 98.000 104.000
Binomial(5,0.5)... 30.000 548.000 46.000 65.000
Binomial(15,0.5).. 75.000 1615.000 125.000 178.000
Poisson(3)........ 96.000 494.000 109.000 125.000
Poisson(10)....... 138.000 1236.000 165.000 203.000
Poisson(70)....... 818.000 1195.000 835.000 844.000
Poisson(100)...... 837.000 1218.000 849.000 864.000
GausTF1........... 83.000 180.000 87.000 88.000
LandauTF1......... 80.000 180.000 83.000 86.000
GausUNURAN........ 40.000 139.000 41.000 44.000
PoissonUNURAN(10). 85.000 271.000 92.000 102.000
PoissonUNURAN(100) 62.000 256.000 69.000 78.000

Note that this tutorial can be executed in interpreted or compiled mode

Root > .x testrandom.C
Root > .x testrandom.C++
0.0422070026398
29.2593960762
Processing /mnt/vdb/lsf/workspace/root-makedoc-v608/rootspi/rdoc/src/v6-08-00-patches/tutorials/math/testrandom.C...
Distribution nanoseconds/call
TRandom TRandom1 TRandom2 TRandom3 MixMax240 MixMax256_2 MixMax17 MT_64 Ranlux48
Rndm.............. 30.000 200.000 35.000 40.000 45.000 75.000 55.000 45.000 520.000
RndmArray......... 10.000 150.000 10.000 15.000
Gaus.............. 75.000 300.000 80.000 90.000
Rannor............ 150.000 300.000 155.000 160.000
Landau............ 65.000 250.000 70.000 80.000
Exponential....... 130.000 300.000 135.000 140.000
Binomial(5,0.5)... 80.000 950.000 95.000 110.000
Binomial(15,0.5).. 165.000 2650.000 210.000 255.000
Poisson(3)........ 125.000 800.000 140.000 155.000
Poisson(10)....... 190.000 2000.000 220.000 255.000
Poisson(70)....... 720.000 1400.000 730.000 755.000
Poisson(100)...... 725.000 1400.000 740.000 765.000
GausTF1........... 150.000 320.000 155.000 160.000
LandauTF1......... 150.000 315.000 150.000 155.000
GausUNURAN........ 45.000 220.000 45.000 60.000
PoissonUNURAN(10). 110.000 420.000 115.000 125.000
PoissonUNURAN(100) 90.000 410.000 95.000 105.000
#include <TRandom1.h>
#include <TRandom2.h>
#include <TRandom3.h>
#include <TRandomGen.h>
#include <TStopwatch.h>
#include <TF1.h>
#include <TUnuran.h>
#include <TUnuranContDist.h>
#include <TFile.h>
void testAll() {
int i, N = 2000000;
float cpn = 1000000000./N;
int N1 = N/10; float cpn1 = cpn*10; // for TRandom1
double x,y;
TRandom *rsave = gRandom;
TRandom *r0 = new TRandom();
TRandom *r1 = new TRandom1();
TRandom *r2 = new TRandom2();
TRandom *r3 = new TRandom3();
TRandom *r4 = new TRandomMixMax();
TRandom *r5 = new TRandomMixMax256();
TRandom *r6 = new TRandomMixMax17();
TRandom *r7 = new TRandomMT64();
TRandom *r8 = new TRandomRanlux48();
TStopwatch sw;
printf("Distribution nanoseconds/call\n");
printf(" TRandom TRandom1 TRandom2 TRandom3 MixMax240 MixMax256_2 MixMax17 MT_64 Ranlux48\n");
sw.Start();
for (i=0;i<N;i++) {
x = r0->Rndm(i);
}
printf("Rndm.............. %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i++) {
x = r1->Rndm(i);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i++) {
x = r2->Rndm(i);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r3->Rndm(i);
}
printf(" %8.3f",sw.CpuTime()*cpn);
// new random generators
sw.Start();
for (i=0;i<N;i++) {
x = r4->Rndm(i);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r5->Rndm(i);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r6->Rndm(i);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r7->Rndm(i);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r8->Rndm(i);
}
printf(" %8.3f",sw.CpuTime()*cpn);
printf("\n\n");
const int NR = 1000;
double rn[NR];
sw.Start();
for (i=0;i<N;i+=NR) {
r0->RndmArray(NR,rn);
}
printf("RndmArray......... %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i+=NR) {
r1->RndmArray(NR,rn);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i+=NR) {
r2->RndmArray(NR,rn);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i+=NR) {
r3->RndmArray(NR,rn);
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r0->Gaus(0,1);
}
printf("Gaus.............. %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i++) {
x = r1->Gaus(0,1);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i++) {
x = r2->Gaus(0,1);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r3->Gaus(0,1);
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i+=2) {
r0->Rannor(x,y);
}
printf("Rannor............ %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i+=2) {
r1->Rannor(x,y);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i+=2) {
r2->Rannor(x,y);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i+=2) {
r3->Rannor(x,y);
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r0->Landau(0,1);
}
printf("Landau............ %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i++) {
x = r1->Landau(0,1);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i++) {
x = r2->Landau(0,1);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r3->Landau(0,1);
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r0->Exp(1);
}
printf("Exponential....... %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i++) {
x = r1->Exp(1);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i++) {
x = r2->Exp(1);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r3->Exp(1);
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r0->Binomial(5,0.5);
}
printf("Binomial(5,0.5)... %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i++) {
x = r1->Binomial(5,0.5);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i++) {
x = r2->Binomial(5,0.5);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r3->Binomial(5,0.5);
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r0->Binomial(15,0.5);
}
printf("Binomial(15,0.5).. %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i++) {
x = r1->Binomial(15,0.5);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i++) {
x = r2->Binomial(15,0.5);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r3->Binomial(15,0.5);
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r0->Poisson(3);
}
printf("Poisson(3)........ %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i++) {
x = r1->Poisson(3);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i++) {
x = r2->Poisson(3);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r3->Poisson(3);
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r0->Poisson(10);
}
printf("Poisson(10)....... %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i++) {
x = r1->Poisson(10);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i++) {
x = r2->Poisson(10);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r3->Poisson(10);
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r0->Poisson(70);
}
printf("Poisson(70)....... %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i++) {
x = r1->Poisson(70);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i++) {
x = r2->Poisson(70);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r3->Poisson(70);
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r0->Poisson(100);
}
printf("Poisson(100)...... %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N1;i++) {
x = r1->Poisson(100);
}
printf(" %8.3f",sw.CpuTime()*cpn1);
sw.Start();
for (i=0;i<N;i++) {
x = r2->Poisson(100);
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = r3->Poisson(100);
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
TF1 *f1 = new TF1("f1","gaus",-4,4);
f1->SetParameters(1,0,1);
gRandom = r0;
sw.Start();
for (i=0;i<N;i++) {
x = f1->GetRandom();
}
printf("GausTF1........... %8.3f",sw.CpuTime()*cpn);
gRandom = r1;
sw.Start();
for (i=0;i<N;i++) {
x = f1->GetRandom();
}
printf(" %8.3f",sw.CpuTime()*cpn);
gRandom = r2;
sw.Start();
for (i=0;i<N;i++) {
x = f1->GetRandom();
}
printf(" %8.3f",sw.CpuTime()*cpn);
gRandom = r3;
sw.Start();
for (i=0;i<N;i++) {
x = f1->GetRandom();
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
TF1 *f2 = new TF1("f2","landau",-5,15);
f2->SetParameters(1,0,1);
gRandom = r0;
sw.Start();
for (i=0;i<N;i++) {
x = f2->GetRandom();
}
printf("LandauTF1......... %8.3f",sw.CpuTime()*cpn);
gRandom = r1;
sw.Start();
for (i=0;i<N;i++) {
x = f2->GetRandom();
}
printf(" %8.3f",sw.CpuTime()*cpn);
gRandom = r2;
sw.Start();
for (i=0;i<N;i++) {
x = f2->GetRandom();
}
printf(" %8.3f",sw.CpuTime()*cpn);
gRandom = r3;
sw.Start();
for (i=0;i<N;i++) {
x = f2->GetRandom();
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
// test using Unuran
TUnuran unr0(r0);
TUnuran unr1(r1);
TUnuran unr2(r2);
TUnuran unr3(r3);
// continuous distribution (ex. Gaus)
TUnuranContDist dist(f1);
// use arou method (is probably the fastest)
unr0.Init(dist,"arou");
unr1.Init(dist,"arou");
unr2.Init(dist,"arou");
unr3.Init(dist,"arou");
sw.Start();
for (i=0;i<N;i++) {
x = unr0.Sample();
}
printf("GausUNURAN........ %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr1.Sample();
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr2.Sample();
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr3.Sample();
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
// Poisson (nned to initialize before with Poisson mu value)
unr0.InitPoisson(10);
unr1.InitPoisson(10);
unr2.InitPoisson(10);
unr3.InitPoisson(10);
sw.Start();
for (i=0;i<N;i++) {
x = unr0.SampleDiscr();
}
printf("PoissonUNURAN(10). %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr1.SampleDiscr();
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr2.SampleDiscr();
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr3.SampleDiscr();
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
unr0.InitPoisson(100);
unr1.InitPoisson(100);
unr2.InitPoisson(100);
unr3.InitPoisson(100);
sw.Start();
for (i=0;i<N;i++) {
x = unr0.SampleDiscr();
}
printf("PoissonUNURAN(100) %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr1.SampleDiscr();
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr2.SampleDiscr();
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr3.SampleDiscr();
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
delete r0;
delete r1;
delete r2;
delete r3;
gRandom = rsave;
#ifdef LATER
// Binomial
unr0.InitBinomial(15,0.5);
unr1.InitBinomial(15,0.5);
unr2.InitBinomial(15,0.5);
unr3.InitBinomial(15,0.5);
sw.Start();
for (i=0;i<N;i++) {
x = unr0.SampleDiscr();
}
printf("BinomialUN(15,0.5) %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr1.SampleDiscr();
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr2.SampleDiscr();
}
printf(" %8.3f",sw.CpuTime()*cpn);
sw.Start();
for (i=0;i<N;i++) {
x = unr3.SampleDiscr();
}
printf(" %8.3f\n",sw.CpuTime()*cpn);
#endif
}
int testRandom3() {
Float_t RefValue[] = // running using a seed of 4357 ROOT 5.13.07 and checked with GSL 1.8
{ 0.999741749, 0.162909875, 0.282617805, 0.947201082, 0.231656543, 0.484973614, 0.957476957, 0.744305343,
0.540043658, 0.739952981, 0.759943798, 0.658636614, 0.315637622, 0.804403015, 0.519672115, 0.168572422,
0.47552973, 0.392313994, 0.221667687, 0.213190459,0.0303352042, 0.33353925, 0.194148851, 0.943716781,
0.579931675, 0.898304858, 0.665563931, 0.49861031, 0.560628257, 0.182284646, 0.296525531, 0.117408933,
0.0629176658, 0.648125575, 0.725418529, 0.637131158, 0.713885062,0.0995762432, 0.699267196, 0.10781247,
0.129242751, 0.502403039, 0.207779906, 0.288910306,0.0831747944, 0.128124215, 0.547371411,0.0823195996,
0.292141427, 0.891623737, 0.227117839, 0.431845463, 0.140733001, 0.400392135, 0.686946901, 0.170670911,
0.440820868, 0.045336565, 0.311296414, 0.506181051, 0.18241084, 0.511032015, 0.740788205, 0.365988627,
0.160808837, 0.460106785, 0.627836472, 0.677603688, 0.698196523, 0.478536868,0.0901075942, 0.338728522,
0.0952137967, 0.436541964, 0.474673352, 0.419245926, 0.777536852, 0.624610565, 0.98043655, 0.370430201,
0.830812636, 0.140806447, 0.744085307, 0.82973968, 0.391104318, 0.621956392, 0.346699478,0.0461695245,
0.613066321, 0.567374048, 0.498894026, 0.723802079, 0.144550525,0.0423031633, 0.310787023, 0.121641154,
0.242069671, 0.381058855, 0.440128537, 0.599795902, 0.644574654, 0.432626217, 0.555968262, 0.716841168,
0.642362515, 0.685776725,0.0961581462, 0.122933464,0.0569974151, 0.820072044, 0.125539286, 0.315745071,
0.180566925, 0.142227219, 0.664429613, 0.685189223, 0.191001933, 0.436343019, 0.964459225, 0.86816359,
0.130879965, 0.48444228, 0.374654451, 0.900475122, 0.178656787, 0.679635131, 0.62287431, 0.98365595,
0.44071478, 0.804737277, 0.994845061, 0.541550961, 0.255905455, 0.638945635, 0.57591027, 0.25872142,
0.191593001, 0.445663047, 0.149266509, 0.996723689, 0.121762222, 0.65153928,0.0277950978, 0.389977602,
0.827913044, 0.283813907, 0.610203644, 0.23641275, 0.41082105, 0.677714617, 0.847126588, 0.649256228,
0.0813826511, 0.120830484, 0.479199264, 0.777878358, 0.471977701, 0.943337511, 0.980800992, 0.334554731,
0.202667924, 0.342841234, 0.653544244, 0.682758797, 0.60993614,0.0999271029, 0.766254981, 0.735581528,
0.24113914, 0.263178711, 0.960869899, 0.423395737, 0.336058146,0.000249497825, 0.868841017,0.00375315035,
0.165846311,0.0118208411, 0.606455074, 0.729972019, 0.613824557, 0.965768184, 0.497098261, 0.529885403,
0.461607532, 0.713033701, 0.579959768, 0.682802555, 0.953921514,0.0236552036, 0.280110147, 0.869526353,
0.299333274, 0.319553603, 0.300951709, 0.941111486, 0.848127064, 0.753346129, 0.538244087, 0.408481381,
0.212371316,0.0761404021, 0.289934908,0.0197818337, 0.241247899, 0.384619165, 0.454906886, 0.373982521,
0.440188796, 0.117896808, 0.805429845, 0.164892641, 0.282529936, 0.172685399, 0.93584233, 0.68095306,
0.133696739, 0.254761223, 0.399444876, 0.369235365, 0.726361892, 0.277837459, 0.693569104, 0.500354689,
0.118405538, 0.151303335, 0.681446943, 0.720665918, 0.979646939, 0.696779111, 0.557210072, 0.680821482,
0.95535205, 0.598208956, 0.770453895, 0.913597486, 0.658958649, 0.670974613, 0.578185175, 0.95303929,
0.162923458, 0.335056986, 0.951824704, 0.109661644, 0.619302303, 0.956816742, 0.985243094,0.0707377489,
0.50233039, 0.680721226, 0.553320066, 0.587005581, 0.691620562, 0.46264791, 0.574254294, 0.072890088,
0.638266518, 0.387757288, 0.220960217,0.00223180233, 0.495656775, 0.191316523, 0.022265008, 0.903589021,
0.738628175, 0.44453089, 0.417702243, 0.760861122, 0.437753222, 0.190982861, 0.577112962, 0.132688343,
0.317824347, 0.48691649, 0.939091069, 0.933946281, 0.073660135, 0.612436295, 0.514748724, 0.624663582,
0.130645262, 0.645210441, 0.13414855, 0.652925968, 0.265210009, 0.381805269, 0.59021506, 0.669704082,
0.55433248,0.0195047602, 0.184346962, 0.991180462, 0.573677764, 0.637762085, 0.594857598, 0.515244688,
0.330693509, 0.39674245, 0.88396548, 0.771485266, 0.599075381,0.0247266297,0.0122587895, 0.698452319,
0.265991009, 0.736700721, 0.999972619, 0.749792316, 0.484955589, 0.823700529, 0.62277709, 0.902512094,
0.0565051287, 0.739077389, 0.37617622, 0.036800765, 0.776198219, 0.837354186, 0.34508193,0.0818426476,
0.222621545, 0.152476319, 0.401177195, 0.531612608, 0.811706602,0.0407775661, 0.117889008, 0.575189965,
0.832362208, 0.204641853, 0.238721773, 0.9969287, 0.258590596, 0.892055968, 0.846859788, 0.306583706,
0.0333624918, 0.706420498, 0.193615608, 0.508978138,0.0215451468, 0.672732793, 0.813562444, 0.807284052,
0.481526843, 0.537519095, 0.780848606, 0.335848908, 0.699259371, 0.425855299, 0.825240663, 0.945613692,
0.55484125, 0.710495188, 0.378360366, 0.648338731,0.0456727168, 0.155477323, 0.885353968, 0.721565725,
0.961667201, 0.430300885, 0.132031354, 0.439331209, 0.467187736, 0.410083217, 0.277196711, 0.278509559,
0.954620806, 0.804357491, 0.968510466, 0.999722791, 0.947160283, 0.248551138,0.0067049861, 0.444727315,
0.674048778, 0.496480361,0.0210092501, 0.831763222, 0.108545852,0.0931516394, 0.89020564, 0.445945211,
0.906906768, 0.554039821, 0.759434349, 0.815551384, 0.532968503,0.0551351462,0.0539856541, 0.89918819,
0.146907374, 0.482647314,0.0673029809, 0.281161865, 0.932849165, 0.507317933, 0.564503014, 0.8007132,
0.645887499, 0.309219498,0.0478066066, 0.25196583, 0.713881142, 0.670994017, 0.60528576, 0.148271899,
0.79525035, 0.665277353, 0.854302043, 0.810533677,0.0711439839,0.0687935678, 0.890466573, 0.758045957,
0.0703105873, 0.852094478, 0.775356902, 0.684895203, 0.234552787, 0.461575694, 0.936435457, 0.664946419,
0.45967959, 0.88782351, 0.574622261,0.0301686234, 0.767354721, 0.345478555, 0.609123143, 0.21754287,
0.643760561, 0.571392649, 0.802311049, 0.962335547, 0.401769856, 0.996553418, 0.745945812, 0.448411183,
0.39578428, 0.123389926, 0.532614913, 0.833379602, 0.91767313, 0.825607567, 0.4459154, 0.267136201,
0.6643989, 0.766860694, 0.665968275, 0.503955105, 0.835153702, 0.622405379, 0.457538918, 0.554983278,
0.36581371, 0.656302231, 0.917038669, 0.276054591, 0.121214441, 0.966178254, 0.697439008, 0.443547789,
0.630195824, 0.368346675, 0.238191956, 0.300273821, 0.710332172,0.0474748381, 0.492525443,0.0812539798,
0.122016782, 0.99310218, 0.355091027, 0.764863731, 0.904099543, 0.396109613, 0.817134856, 0.348974222,
0.266193634, 0.367501958, 0.752316213, 0.587800024, 0.489421095, 0.673474061, 0.328296139, 0.853945839,
0.832380736, 0.159588686, 0.322411022, 0.950173707, 0.095376712, 0.231019855, 0.860607752, 0.359627192,
0.984843699,0.0319756679, 0.828649914, 0.51680949, 0.489407924, 0.963977298, 0.960131739, 0.681816791,
0.860788169, 0.455829282, 0.332390656,0.0591498043, 0.452245977, 0.217354216, 0.34560744, 0.549971993,
0.317622252, 0.892976443, 0.49004545, 0.25647901, 0.968998638, 0.910636465, 0.226717598, 0.327828572,
0.28670209, 0.142515054,0.0992817392, 0.192332409, 0.308376869, 0.871415959, 0.391148786, 0.788660882,
0.200816041, 0.986475959, 0.882862126, 0.109862451, 0.354283255, 0.555742682, 0.690698458, 0.643815752,
0.363104285,0.0788627111, 0.200820414, 0.71697353, 0.744353746, 0.76763643, 0.245442451, 0.668009119,
0.886989377, 0.366849931, 0.531556628, 0.502843979, 0.31454367, 0.622541364,0.0199038582, 0.676355134,
0.429818622, 0.232835212, 0.987619457, 0.306572135, 0.494637038, 0.748614893, 0.891843561,0.0452854959,
0.427561072, 0.226978442, 0.484072985, 0.16464563,0.0898074883, 0.384263737,0.0238354723, 0.329734547,
0.531230736, 0.476683361, 0.877482474, 0.455501628, 0.497302495, 0.396184301, 0.886124728, 0.736070092,
0.108917595, 0.397921902, 0.842575021, 0.82620032, 0.936655165, 0.24558961, 0.639688616, 0.493335031,
0.0734495069, 0.780138101,0.0421121232, 0.701116477, 0.940523267, 0.70054817, 0.776760272, 0.192742581,
0.0069252688, 0.842983626, 0.919324176, 0.242083269, 0.190100674, 0.735084639, 0.164522319, 0.99030645,
0.98284794, 0.657169539,0.0187736442, 0.759596482, 0.357567611, 0.509016344, 0.738899681, 0.567923164,
0.289056634, 0.41501714, 0.981054561, 0.365884479, 0.517878261, 0.844209022, 0.968122653, 0.258894528,
0.478310441, 0.437340986, 0.379398001, 0.203081884, 0.550820748, 0.255542723, 0.550098031, 0.870477939,
0.241230214, 0.157108238, 0.218260827, 0.116277737, 0.749018275, 0.158290659, 0.476353907, 0.545327323,
0.878978121,0.0171442169, 0.542981987, 0.318018082, 0.788805343, 0.871721374, 0.738490409,0.0923330146,
0.301398643, 0.637103286, 0.571564271, 0.712810342, 0.644289242, 0.230476008, 0.971695586, 0.966159428,
0.291883909, 0.175285818, 0.312882552, 0.98465128, 0.568391354, 0.844468564, 0.144433908, 0.45994061,
0.607897905, 0.184122705, 0.342805493, 0.606432998, 0.838196585, 0.186188518,0.0302744689, 0.307391858,
0.125286029, 0.270394965, 0.874161481, 0.370509557, 0.89423337, 0.407995674, 0.881878469, 0.647951238,
0.236986727, 0.528807336, 0.293731542,0.0943204253, 0.934538626, 0.121679332, 0.34968176,0.0670268578,
0.642196769, 0.692447138, 0.334926733, 0.374244194, 0.313885051, 0.538738295, 0.098592523, 0.490514225,
0.32873567, 0.709725794, 0.88169803, 0.393000481, 0.854243273, 0.463776593, 0.52705639, 0.493309892,
0.267784336, 0.583077476,0.0573514167, 0.959336368, 0.771417173,0.0427184631, 0.498433369,0.0522942701,
0.56155145, 0.960361909, 0.619817314, 0.528628368, 0.698235179, 0.186162042, 0.553998168, 0.666120292,
0.152731049, 0.948750157, 0.186825789, 0.580512664, 0.851024442, 0.106865844, 0.675861737, 0.79604524,
0.657646103,0.00934952381, 0.206267588, 0.636420368,0.0382564603, 0.67771025, 0.677917925, 0.671684269,
0.396317716, 0.661597047, 0.633360383, 0.962124239, 0.992711418,0.0993448263,0.0678932741, 0.426013152,
0.947045502, 0.708326009, 0.466817846,0.0448362886, 0.748580922, 0.678370694, 0.210921343, 0.398490306,
0.953675585,0.0289022848, 0.935766569, 0.846930474, 0.662760176, 0.867910903, 0.652359324, 0.45280494,
0.305228982, 0.352034987, 0.279643402, 0.236045594,0.0270034608, 0.652062389, 0.712000227, 0.619930867,
0.125439078, 0.452789963, 0.92233151, 0.120844359, 0.403808975, 0.260290446, 0.778843638, 0.6678412,
0.0267894373, 0.491332301, 0.915060888, 0.704025347, 0.628200853, 0.578338467, 0.629156416, 0.730410649,
0.641318334, 0.463709335, 0.614291239, 0.254470656, 0.808682692, 0.22898373, 0.450477996, 0.874235142,
0.202773906, 0.523711192, 0.126518266, 0.579402899, 0.26188467, 0.207769057, 0.55283816, 0.851395364,
0.513594437, 0.558259845, 0.666148535, 0.998974657, 0.178274074, 0.116739636,0.0684255431, 0.622713377,
0.31448295, 0.889827933, 0.80647766, 0.429916949, 0.524695458, 0.45267553, 0.630743121, 0.566594485,
0.958860663, 0.908052286, 0.700898262, 0.377025384, 0.683796226, 0.198088462, 0.617400699, 0.413726158,
0.823588417, 0.755577948, 0.703097317, 0.364294278, 0.819786986, 0.751581763, 0.048769509, 0.528569003,
0.616748192, 0.270942831, 0.800841747, 0.235174223, 0.903786552, 0.258801569, 0.191336412, 0.012410342,
0.853413998, 0.621008712, 0.855861931, 0.140106201, 0.872687964, 0.708839735,0.0926409892,0.0207504195,
0.782636518,0.0300825236, 0.504610632,0.0816221782, 0.773493745, 0.872577282, 0.880031248, 0.883524299,
0.872427328, 0.458722225, 0.902298841, 0.547904952,0.0559884352, 0.591179888, 0.563941709, 0.776130076,
0.295569778,0.0408536533, 0.398567183, 0.28227462, 0.806716321, 0.507159362, 0.688150965, 0.49466404,
0.45454604, 0.421480091,0.0392517329,0.0911962031, 0.393815309, 0.135373195, 0.968650583, 0.811676111,
0.325965411, 0.961999178, 0.100281202, 0.102924612, 0.30725909, 0.33368206, 0.857966134, 0.522921736,
0.615500041, 0.981558684, 0.797484739, 0.198809674, 0.45670419, 0.570970797, 0.214908696, 0.686433314,
0.278602115, 0.179739848, 0.397497946, 0.162858935, 0.802621762,0.0836459133, 0.638270752, 0.230856518,
0.580094379, 0.864292514, 0.932738287, 0.821393124, 0.480590473, 0.636373016, 0.181508656, 0.469200501,
0.309276441, 0.668810431, 0.722341161, 0.574856669, 0.527854513, 0.809231559, 0.986882661, 0.323860496,
0.606396459, 0.759558966, 0.79096818,0.0699298142, 0.550465414,0.00929828244, 0.784629475, 0.689044114,
0.963588091, 0.516441598, 0.357178305, 0.482336892, 0.429959602, 0.996306147, 0.601176011, 0.785004207,
0.970542121, 0.487854549,0.0949267522, 0.979331773, 0.120877739, 0.630260336, 0.19424754, 0.213081703,
0.0145987798, 0.366671115, 0.340100777, 0.721786347, 0.367533113,0.0210335371, 0.131687992, 0.586759676,
0.73360464, 0.863635151, 0.136994646,0.0524269778, 0.406223408, 0.241656947, 0.472450703, 0.872215979,
0.454719233,0.0715790696, 0.314061244, 0.492823114, 0.741721134, 0.694783663, 0.982867872, 0.319748137,
0.804203704,0.0534678153, 0.746155348, 0.303474931,0.0930815139, 0.934531664, 0.746868186, 0.100048471,
0.720296508, 0.21075374, 0.96309675, 0.749189411, 0.739621932, 0.510072327,0.0872929865, 0.650020469,
0.0823648495, 0.726920745, 0.532618265, 0.749305866, 0.86126694,0.0346994482,0.0931224583, 0.655257095,
0.959517847, 0.487057231, 0.859895745, 0.084794421, 0.718541715, 0.850918328, 0.818884782, 0.71627446,
0.40822393, 0.63658567, 0.523838703, 0.372038872, 0.353426097, 0.598049047,0.0974868746, 0.276353038
};
Int_t rc1 = 0;
Int_t rc2 = 0;
TRandom3 r(4357);
Float_t x;
Int_t i;
// check whether the sequence is ok or not
for (i=0;i<1000;i++) {
x = r.Rndm();
// printf("%e ",x-RefValue[i]); if(i%8==7) printf("\n");
if (TMath::Abs(x-RefValue[i]) > 10e-8) {
printf("i=%d x=%.8f but should be %.8f\n",i,x,RefValue[i]);
rc1 += 1;
}
}
// check whether a state can be saved and restored
TFile *file = new TFile("random3.root","RECREATE");
file->SetCompressionLevel(0);
r.Write("r");
delete file;
file = new TFile("random3.root");
TRandom3 *rs = (TRandom3*) file->Get("r");
for (i=0;i<1000;i++) {
if (r.Rndm() - rs->Rndm() != 0) rc2 += 1;
}
if (rc2 != 0) printf("state restoration failed\n");
return rc1 + rc2;
}
void testrandom()
{
testRandom3();
testAll();
}
Authors
Rene Brun, Lorenzo Moneta

Definition in file testrandom.C.