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Diffstat (limited to 'src/test/java/com/android/vts/util/StatSummaryTest.java')
-rw-r--r-- | src/test/java/com/android/vts/util/StatSummaryTest.java | 123 |
1 files changed, 0 insertions, 123 deletions
diff --git a/src/test/java/com/android/vts/util/StatSummaryTest.java b/src/test/java/com/android/vts/util/StatSummaryTest.java deleted file mode 100644 index a5a4f76..0000000 --- a/src/test/java/com/android/vts/util/StatSummaryTest.java +++ /dev/null @@ -1,123 +0,0 @@ -/* - * 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); - } -} |