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/*
* Copyright (c) 2016 Google Inc. All Rights Reserved.
*
* 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 com.android.vts.util;
import static org.junit.Assert.assertEquals;
import com.android.vts.proto.VtsReportMessage.VtsProfilingRegressionMode;
import java.util.Random;
import org.junit.Before;
import org.junit.Test;
public class StatSummaryTest {
private static double threshold = 0.0000000001;
private StatSummary test;
@Before
public void setUp() {
test = new StatSummary("label", VtsProfilingRegressionMode.VTS_REGRESSION_MODE_DECREASING);
}
/** Test computation of average. */
@Test
public void testAverage() {
int n = 1000;
double mean = (n - 1) / 2.0;
for (int i = 0; i < n; i++) {
test.updateStats(i);
}
assertEquals(n, test.getCount(), threshold);
assertEquals(mean, test.getMean(), threshold);
}
/** Test computation of minimum. */
@Test
public void testMin() {
double min = Double.MAX_VALUE;
int n = 1000;
Random rand = new Random();
for (int i = 0; i < n; i++) {
double value = rand.nextInt(1000);
if (value < min) min = value;
test.updateStats(value);
}
assertEquals(n, test.getCount(), threshold);
assertEquals(min, test.getMin(), threshold);
}
/** Test computation of maximum. */
@Test
public void testMax() {
double max = Double.MIN_VALUE;
int n = 1000;
Random rand = new Random();
for (int i = 0; i < n; i++) {
double value = rand.nextInt(1000);
if (value > max) max = value;
test.updateStats(value);
}
assertEquals(max, test.getMax(), threshold);
}
/** Test computation of standard deviation. */
@Test
public void testStd() {
int n = 1000;
double[] values = new double[n];
Random rand = new Random();
double sum = 0.0;
for (int i = 0; i < n; i++) {
values[i] = rand.nextInt(1000);
sum += values[i];
test.updateStats(values[i]);
}
double mean = sum / n;
double sumSq = 0;
for (int i = 0; i < n; i++) {
sumSq += (values[i] - mean) * (values[i] - mean);
}
double std = Math.sqrt(sumSq / (n - 1));
assertEquals(std, test.getStd(), threshold);
}
/** Test computation of standard deviation. */
@Test
public void testMerge() {
StatSummary test2 =
new StatSummary("label", VtsProfilingRegressionMode.VTS_REGRESSION_MODE_DECREASING);
StatSummary all =
new StatSummary("label", VtsProfilingRegressionMode.VTS_REGRESSION_MODE_DECREASING);
int n1 = 1000;
int n2 = 2000;
Random rand = new Random();
for (int i = 0; i < n1; i++) {
int value = rand.nextInt(1000);
test.updateStats(value);
all.updateStats(value);
}
for (int i = 0; i < n2; i++) {
int value = rand.nextInt(1000);
test2.updateStats(value);
all.updateStats(value);
}
test.merge(test2);
assertEquals(all.getCount(), test.getCount());
assertEquals(all.getStd(), test.getStd(), threshold);
assertEquals(all.getMean(), test.getMean(), threshold);
}
}
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