blob: c1362dc3a6a712feb8d895ab59c880c5fd3580c0 [file] [log] [blame]
/*
* Copyright (C) 2017 The Android Open Source Project
*
* 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 android.multiuser;
import android.os.Bundle;
import java.util.ArrayList;
import java.util.Collections;
import java.util.concurrent.TimeUnit;
public class BenchmarkResults {
private final ArrayList<Long> mResults = new ArrayList<>();
public void addDuration(long duration) {
mResults.add(TimeUnit.NANOSECONDS.toMillis(duration));
}
public Bundle getStatsToReport() {
final Bundle stats = new Bundle();
stats.putDouble("Mean (ms)", mean());
return stats;
}
public Bundle getStatsToLog() {
final Bundle stats = new Bundle();
stats.putDouble("Mean (ms)", mean());
stats.putDouble("Median (ms)", median());
stats.putDouble("Sigma (ms)", standardDeviation());
return stats;
}
public ArrayList<Long> getAllDurations() {
return mResults;
}
private double mean() {
final int size = mResults.size();
long sum = 0;
for (int i = 0; i < size; ++i) {
sum += mResults.get(i);
}
return (double) sum / size;
}
private double median() {
final int size = mResults.size();
if (size == 0) {
return 0f;
}
final ArrayList<Long> resultsCopy = new ArrayList<>(mResults);
Collections.sort(resultsCopy);
final int idx = size / 2;
return size % 2 == 0
? (double) (resultsCopy.get(idx) + resultsCopy.get(idx - 1)) / 2
: resultsCopy.get(idx);
}
private double standardDeviation() {
final int size = mResults.size();
if (size == 0) {
return 0f;
}
final double mean = mean();
double sd = 0;
for (int i = 0; i < size; ++i) {
double diff = mResults.get(i) - mean;
sd += diff * diff;
}
return Math.sqrt(sd / size);
}
}