void time_stats2()
{
FILE *f = stdout;
char *str = NULL;
int size = 0;
long sum;
if (!CFG.time_launch) {
if (CFG.debug) goto out;
return;
}
printx("times in seconds:\n");
tm_sum = 0;
print_tn(rios);
print_tn(gcard);
print_tn(playlog);
print_tn(playstat);
print_tn(load);
sum = tm_sum;
printx("sum: %.3f ", (float)sum/1000.0);
printx("uncounted: %.3f\n", (float)((long)TIME_MS(run)-sum)/1000.0);
print_t2("total launch", run);
printx("size: %.2f MB\n", (float)TIME.size / 1024.0 / 1024.0);
printx("speed: %.2f MB/s\n",
(float)TIME.size / (float)TIME_MS(load) * 1000.0 / 1024.0 / 1024.0);
out:;
extern void Menu_PrintWait();
Menu_PrintWait();
}
void time_statsf(FILE *f, char *str, int size)
{
long sum;
printx("times in seconds:\n");
tm_sum = 0;
print_t_(intro);
print_tn(wpad);
print_t_(ios1);
print_tn(ios2);
print_t_(sd_init);
print_tn(sd_mount);
print_t_(usb_init);
print_t3("mount", usb_mount, " ");
print_t3("retry", usb_retry, "\n");
printx("open: %.3f ini: %.3f cap: %.3f\n",
diff_fsec(TIME.usb_init1, TIME.usb_open),
diff_fsec(TIME.usb_open, TIME.usb_cap),
diff_fsec(TIME.usb_cap, TIME.usb_init2));
print_t3("cfg", cfg, " (config,settings,titles,theme)\n");
print_t3("misc", misc, " (lang,playstat,unifont)\n");
print_t_(wiitdb);
printx("load: %.3f parse: %.3f\n", TIME_S(db_load), TIME_S(wiitdb)-TIME_S(db_load));
print_t_(gamelist);
print_tn(mp3);
print_t_(conbg);
print_tn(guitheme);
sum = tm_sum;
printx("sum: %.3f ", (float)sum/1000.0);
printx("uncounted: %.3f\n", (float)((long)TIME_MS(boot)-sum)/1000.0);
print_t2("total startup", boot);
}
TEST(var1_test, autocorr)
{
Eigen::VectorXd phi0(2), veps(2);
Eigen::MatrixXd phi1(2,2);
phi0 << 2, 3;
phi1 << .80, 0, 0, .64;
veps << 1.0, 0.25;
alps::alea::util::var1_model<double> model(phi0, phi1, veps);
std::cerr << "EXACT MEAN=" << model.mean().transpose() << "\n";
std::cerr << "EXACT TAU =" << model.ctau().diagonal().transpose() << "\n";
alps::alea::autocorr_acc<double> acc(2);
fill(model, acc, 400000);
alps::alea::autocorr_result<double> res = acc.finalize();
print_result(std::cerr, res);
// perform T2 test
alps::alea::t2_result t2 = alps::alea::test_mean(res, model.mean());
print_t2(std::cerr, t2);
ASSERT_GE(t2.pvalue(), 0.01);
}
TEST(var1_test, same)
{
Eigen::VectorXd phi0(2), veps_one(2), veps_two(2);
Eigen::MatrixXd phi1(2,2);
phi0 << 2, 3;
phi1 << .90, 0, 0, .30;
veps_one << 1.0, 0.25;
veps_two << 2.0, 3.25;
alps::alea::util::var1_model<double> model1(phi0, phi1, veps_one);
alps::alea::util::var1_model<double> model2(phi0, phi1, veps_two);
std::cerr << "EXACT MEAN=" << model1.mean().transpose() << "\n";
alps::alea::autocorr_acc<double> acc1(2), acc2(2);
fill(model1, acc1, 400000);
fill(model2, acc2, 400000);
alps::alea::autocorr_result<double> res1 = acc1.finalize();
print_result(std::cerr, res1);
alps::alea::autocorr_result<double> res2 = acc2.finalize();
print_result(std::cerr, res2);
// perform T2 test manually
alps::alea::var_result<double> diff = alps::alea::internal::pool_var(res1, res2);
print_result(std::cerr, diff);
alps::alea::t2_result t2 = alps::alea::t2_test(diff.mean(), diff.var(),
diff.observations(), 1, 1e-10);
print_t2(std::cerr, t2);
ASSERT_GE(t2.pvalue(), 0.01);
// Perform T2 test automatically
t2 = alps::alea::test_mean(res1, res2);
ASSERT_GE(t2.pvalue(), 0.01);
}
