void MovingMinMaxAvgTests::testQuint64() {
// quint64 test
const int INTERVAL_LENGTH = 100;
const int WINDOW_INTERVALS = 50;
MovingMinMaxAvg<quint64> stats(INTERVAL_LENGTH, WINDOW_INTERVALS);
quint64 min = std::numeric_limits<quint64>::max();
quint64 max = 0;
double average = 0.0;
int totalSamples = 0;
quint64 windowMin;
quint64 windowMax;
double windowAverage;
QQueue<quint64> windowSamples;
// fill window samples
for (int i = 0; i < 100000; i++) {
quint64 sample = randQuint64();
windowSamples.enqueue(sample);
if (windowSamples.size() > INTERVAL_LENGTH * WINDOW_INTERVALS) {
windowSamples.dequeue();
}
stats.update(sample);
min = std::min(min, sample);
max = std::max(max, sample);
average = (average * totalSamples + sample) / (totalSamples + 1);
totalSamples++;
QCOMPARE(stats.getMin(), min);
QCOMPARE(stats.getMax(), max);
QCOMPARE_WITH_ABS_ERROR((float) stats.getAverage() / (float) average, 1.0f, EPSILON);
QCOMPARE_WITH_ABS_ERROR((float) stats.getAverage(), (float) average, EPSILON);
if ((i + 1) % INTERVAL_LENGTH == 0) {
QVERIFY(stats.getNewStatsAvailableFlag());
stats.clearNewStatsAvailableFlag();
windowMin = std::numeric_limits<quint64>::max();
windowMax = 0;
windowAverage = 0.0;
for (quint64 s : windowSamples) {
windowMin = std::min(windowMin, s);
windowMax = std::max(windowMax, s);
windowAverage += (double)s;
}
windowAverage /= (double)windowSamples.size();
QCOMPARE(stats.getWindowMin(), windowMin);
QCOMPARE(stats.getWindowMax(), windowMax);
QCOMPARE_WITH_ABS_ERROR((float)stats.getAverage(), (float)average, EPSILON);
} else {
QVERIFY(!stats.getNewStatsAvailableFlag());
}
}
}
void MovingMinMaxAvgTests::runAllTests() {
{
// quint64 test
const int INTERVAL_LENGTH = 100;
const int WINDOW_INTERVALS = 50;
MovingMinMaxAvg<quint64> stats(INTERVAL_LENGTH, WINDOW_INTERVALS);
quint64 min = std::numeric_limits<quint64>::max();
quint64 max = 0;
double average = 0.0;
int totalSamples = 0;
quint64 windowMin;
quint64 windowMax;
double windowAverage;
QQueue<quint64> windowSamples;
// fill window samples
for (int i = 0; i < 100000; i++) {
quint64 sample = randQuint64();
windowSamples.enqueue(sample);
if (windowSamples.size() > INTERVAL_LENGTH * WINDOW_INTERVALS) {
windowSamples.dequeue();
}
stats.update(sample);
min = std::min(min, sample);
max = std::max(max, sample);
average = (average * totalSamples + sample) / (totalSamples + 1);
totalSamples++;
assert(stats.getMin() == min);
assert(stats.getMax() == max);
assert(fabsf((float)stats.getAverage() / (float)average - 1.0f) < EPSILON ||
fabsf((float)stats.getAverage() - (float)average) < EPSILON);
if ((i + 1) % INTERVAL_LENGTH == 0) {
assert(stats.getNewStatsAvailableFlag());
stats.clearNewStatsAvailableFlag();
windowMin = std::numeric_limits<quint64>::max();
windowMax = 0;
windowAverage = 0.0;
foreach(quint64 s, windowSamples) {
windowMin = std::min(windowMin, s);
windowMax = std::max(windowMax, s);
windowAverage += (double)s;
}
windowAverage /= (double)windowSamples.size();
assert(stats.getWindowMin() == windowMin);
assert(stats.getWindowMax() == windowMax);
assert(fabsf((float)stats.getAverage() / (float)average - 1.0f) < EPSILON ||
fabsf((float)stats.getAverage() - (float)average) < EPSILON);
} else {
