blob: fb516a818f758c102f3be1f072565ea60fc242ff [file] [log] [blame]
/*
* Copyright (C) 2018 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.perftests.utils;
import android.annotation.IntRange;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
public class Stats {
private long mMedian, mMin, mMax;
private double mMean, mStandardDeviation;
private final List<Long> mValues;
/* Calculate stats in constructor. */
public Stats(List<Long> values) {
final int size = values.size();
if (size < 2) {
throw new IllegalArgumentException("At least two results are necessary.");
}
// Make a copy since we're modifying it.
mValues = values = new ArrayList<>(values);
Collections.sort(values);
mMin = values.get(0);
mMax = values.get(values.size() - 1);
mMedian = size % 2 == 0 ? (values.get(size / 2) + values.get(size / 2 - 1)) / 2 :
values.get(size / 2);
for (int i = 0; i < size; ++i) {
long result = values.get(i);
mMean += result;
}
mMean /= (double) size;
for (int i = 0; i < size; ++i) {
final double tmp = values.get(i) - mMean;
mStandardDeviation += tmp * tmp;
}
mStandardDeviation = Math.sqrt(mStandardDeviation / (double) (size - 1));
}
public int getSize() {
return mValues.size();
}
public double getMean() {
return mMean;
}
public long getMedian() {
return mMedian;
}
public long getMax() {
return mMax;
}
public long getMin() {
return mMin;
}
public double getStandardDeviation() {
return mStandardDeviation;
}
public long getPercentile(@IntRange(from = 0, to = 100) int percentile) {
return getPercentile(mValues, percentile);
}
private static long getPercentile(List<Long> values, int percentile) {
if (percentile < 0 || percentile > 100) {
throw new IllegalArgumentException(
"invalid percentile " + percentile + ", should be 0-100");
}
int idx = (values.size() - 1) * percentile / 100;
return values.get(idx);
}
}