Commit fd045b0e authored by Folkert Nobels's avatar Folkert Nobels

Format the testRandom code

parent ac87133a
/*******************************************************************************
* This file is part of SWIFT.
* Copyright (C) 2019 Matthieu Schaller (schaller@strw.leidenuniv.nl)
* 2019 Folkert Nobels (nobels@strw.leidenuniv.nl)
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published
......@@ -75,8 +76,8 @@ int main(int argc, char* argv[]) {
const double r =
random_unit_interval(id, ti_current, random_number_star_formation);
const double r_2ndid =
random_unit_interval(idoffset, ti_current, random_number_star_formation);
const double r_2ndid = random_unit_interval(idoffset, ti_current,
random_number_star_formation);
total += r;
total2 += r * r;
......@@ -96,25 +97,31 @@ int main(int argc, char* argv[]) {
const double var = total2 / (double)count - mean * mean;
/* Pearson correlation calculation for different times */
const double mean_xy = sum_previous_current / ( (double)count -1.f);
const double correlation = (mean_xy-mean*mean)/var;
const double mean_xy = sum_previous_current / ((double)count - 1.f);
const double correlation = (mean_xy - mean * mean) / var;
/* Pearson correlation for different IDs */
const double meanID = totalID / (double)count;
const double varID = total2ID / (double)count - meanID * meanID;
const double meanID_xy = pearsonIDs / (double)count;
const double correlationID = (meanID_xy - mean*meanID) / pow(var * varID, .5f);
const double correlationID =
(meanID_xy - mean * meanID) / pow(var * varID, .5f);
/* Verify that the mean and variance match the expected values for a uniform
* distribution */
if ((fabs(mean - 0.5) / 0.5 > 2e-4) ||
(fabs(var - 1. / 12.) / (1. / 12.) > 1e-3) ||
(fabs(correlation) > 3e-4) ||
(fabs(correlationID) > 3e-4) ) {
(fabs(correlation) > 3e-4) || (fabs(correlationID) > 3e-4)) {
message("Test failed!");
message("Result: count=%d mean=%f var=%f, correlation=%f ID correlation=%f", count, mean, var, correlation, correlationID);
message("Expected: count=%d mean=%f var=%f, correlation=%f ID correlation=%f", count, 0.5f, 1. / 12., 0., 0.);
message(
"Result: count=%d mean=%f var=%f, correlation=%f ID "
"correlation=%f",
count, mean, var, correlation, correlationID);
message(
"Expected: count=%d mean=%f var=%f, correlation=%f ID "
"correlation=%f",
count, 0.5f, 1. / 12., 0., 0.);
return 1;
}
}
......
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