/**
* Copyright 2010 Neuroph Project http://neuroph.sourceforge.net
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.neuroph.util.benchmark;
/**
* This class holds benchmarking results, elapsed times for all iterations and
* various statistics min, max, avg times and standard deviation
* @author Zoran Sevarac
*/
public class BenchmarkTaskResults {
int testIterations;
long[] elapsedTimes;
int timesCounter;
double averageTestTime;
double standardDeviation;
double minTestTime;
double maxTestTime;
public BenchmarkTaskResults(int testIterations) {
this.testIterations = testIterations;
this.elapsedTimes = new long[testIterations];
this.timesCounter = 0;
}
public double getAverageTestTime() {
return averageTestTime;
}
public long[] getElapsedTimes() {
return elapsedTimes;
}
public double getMaxTestTime() {
return maxTestTime;
}
public double getMinTestTime() {
return minTestTime;
}
public double getStandardDeviation() {
return standardDeviation;
}
public int getTestIterations() {
return testIterations;
}
public void addElapsedTime(long time) {
this.elapsedTimes[timesCounter++] = time;
}
public void calculateStatistics() {
this.minTestTime = elapsedTimes[0];
this.maxTestTime = elapsedTimes[0];
long sum = 0;
for (int i = 0; i < timesCounter; i++) {
sum += elapsedTimes[i];
if (elapsedTimes[i] < minTestTime) {
minTestTime = elapsedTimes[i];
}
if (elapsedTimes[i] > maxTestTime) {
maxTestTime = elapsedTimes[i];
}
}
this.averageTestTime = sum / (double) timesCounter;
// std. deviation
long sqrSum = 0;
for(int i = 0; i< timesCounter; i++) {
sqrSum += (elapsedTimes[i] - averageTestTime) * (elapsedTimes[i] - averageTestTime);
}
this.standardDeviation = Math.sqrt(sqrSum / (double)timesCounter);
}
public String toString() {
String results = "Test iterations: " + testIterations + "\n" +
"Min time: " + minTestTime + " ms\n" +
"Max time: " + maxTestTime + " ms\n" +
"Average time: " + averageTestTime + " ms\n" +
"Std. deviation: " + standardDeviation + "\n";
results += "Test times:\n";
for(int i=0; i
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