From eee112e242318d93f1ff7a1bc27c02e6d73f23f6 Mon Sep 17 00:00:00 2001
From: Folkert Nobels <nobels@strw.leidenuniv.nl>
Date: Wed, 20 Feb 2019 13:42:51 +0100
Subject: [PATCH] Format the testRandom code
---
tests/testRandom.c | 27 +++++++++++++++++----------
1 file changed, 17 insertions(+), 10 deletions(-)
diff --git a/tests/testRandom.c b/tests/testRandom.c
index 417d8a3dea..a0f6490a29 100644
--- a/tests/testRandom.c
+++ b/tests/testRandom.c
@@ -1,6 +1,7 @@
/*******************************************************************************
* 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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