BenchmarkResults.java revision 5f76e1fa85f5c189d57860b0b5b02cace139204b
1/* 2 * Copyright (C) 2017 The Android Open Source Project 3 * 4 * Licensed under the Apache License, Version 2.0 (the "License"); 5 * you may not use this file except in compliance with the License. 6 * You may obtain a copy of the License at 7 * 8 * http://www.apache.org/licenses/LICENSE-2.0 9 * 10 * Unless required by applicable law or agreed to in writing, software 11 * distributed under the License is distributed on an "AS IS" BASIS, 12 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 13 * See the License for the specific language governing permissions and 14 * limitations under the License. 15 */ 16package android.multiuser; 17 18import android.os.Bundle; 19 20import java.util.ArrayList; 21import java.util.Collections; 22import java.util.concurrent.TimeUnit; 23 24public class BenchmarkResults { 25 private final ArrayList<Long> mResults = new ArrayList<>(); 26 27 public void addDuration(long duration) { 28 mResults.add(TimeUnit.NANOSECONDS.toMillis(duration)); 29 } 30 31 public Bundle getStats() { 32 final Bundle stats = new Bundle(); 33 stats.putDouble("Mean (ms)", mean()); 34 stats.putDouble("Median (ms)", median()); 35 stats.putDouble("Sigma (ms)", standardDeviation()); 36 return stats; 37 } 38 39 public ArrayList<Long> getAllDurations() { 40 return mResults; 41 } 42 43 private double mean() { 44 final int size = mResults.size(); 45 long sum = 0; 46 for (int i = 0; i < size; ++i) { 47 sum += mResults.get(i); 48 } 49 return (double) sum / size; 50 } 51 52 private double median() { 53 final int size = mResults.size(); 54 if (size == 0) { 55 return 0f; 56 } 57 Collections.sort(mResults); 58 final int idx = size / 2; 59 return size % 2 == 0 60 ? (double) (mResults.get(idx) + mResults.get(idx - 1)) / 2 61 : mResults.get(idx); 62 } 63 64 private double standardDeviation() { 65 final int size = mResults.size(); 66 if (size == 0) { 67 return 0f; 68 } 69 final double mean = mean(); 70 double sd = 0; 71 for (int i = 0; i < size; ++i) { 72 double diff = mResults.get(i) - mean; 73 sd += diff * diff; 74 } 75 return Math.sqrt(sd / size); 76 } 77} 78