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-rw-r--r--src/test/java/com/android/vts/util/StatSummaryTest.java123
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);
- }
-}