2 * ============LICENSE_START=======================================================
3 * SPARKY (AAI UI service)
4 * ================================================================================
5 * Copyright © 2017 AT&T Intellectual Property.
6 * Copyright © 2017 Amdocs
8 * ================================================================================
9 * Licensed under the Apache License, Version 2.0 (the "License");
10 * you may not use this file except in compliance with the License.
11 * You may obtain a copy of the License at
13 * http://www.apache.org/licenses/LICENSE-2.0
15 * Unless required by applicable law or agreed to in writing, software
16 * distributed under the License is distributed on an "AS IS" BASIS,
17 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
18 * See the License for the specific language governing permissions and
19 * limitations under the License.
20 * ============LICENSE_END=========================================================
22 * ECOMP and OpenECOMP are trademarks
23 * and service marks of AT&T Intellectual Property.
26 package org.openecomp.sparky.analytics;
28 import static org.junit.Assert.assertEquals;
30 import java.security.SecureRandom;
32 import org.junit.Before;
33 import org.junit.Test;
34 import org.junit.runner.RunWith;
35 import org.powermock.modules.junit4.PowerMockRunner;
38 * The Class AveragingRingBufferTest.
40 @RunWith(PowerMockRunner.class)
41 public class AveragingRingBufferTest {
43 protected SecureRandom random = new SecureRandom();
48 * @throws Exception the exception
51 public void init() throws Exception {
52 // nothing at the moment
56 * Validate pre index roll averaging.
59 public void validatePreIndexRollAveraging() {
61 AveragingRingBuffer arb = new AveragingRingBuffer(5);
62 assertEquals(0, arb.getAvg());
65 * On initial buffer fill, the average will be re-calculated on the fly for the first nth data
66 * points until the data buffer has been filled the first time, and then the buffer
67 * automatically recalculates the average every time the buffer index rolls over, to the keep
68 * the average relative to the last "nth" data points.
71 // [ 1, 0, 0, 0, 0 ], sum = 1, avg = 1/1 =1
73 assertEquals(1, arb.getAvg());
75 // [ 1, 2, 0, 0, 0 ], sum = 3, avg = 3/2 = 1
77 assertEquals(1, arb.getAvg());
79 // [ 1, 2, 3, 0, 0 ], sum = 6, avg = 6/3 = 2
81 assertEquals(2, arb.getAvg());
83 // [ 1, 2, 3, 4, 0 ], sum = 10, avg = 10/4 = 2
85 assertEquals(2, arb.getAvg());
87 // [ 1, 2, 3, 4, 5 ], sum = 15, avg = 15/5 = 3
89 assertEquals(3, arb.getAvg());
94 * Validate post index roll averaging.
97 public void validatePostIndexRollAveraging() {
99 AveragingRingBuffer arb = new AveragingRingBuffer(5);
107 * The behavior switches, and now doesn't re-calculate the average until each nth data point, to
108 * reduce the computational over-head of re-calculating on each value.
111 // [ 10, 2, 3, 4, 5 ],
113 assertEquals(3, arb.getAvg());
115 // [ 10, 20, 3, 4, 5 ],
117 assertEquals(3, arb.getAvg());
119 // [ 10, 20, 30, 4, 5 ],
121 assertEquals(3, arb.getAvg());
123 // [ 10, 20, 30, 40, 5 ],
125 assertEquals(3, arb.getAvg());
127 // [ 10, 20, 30, 40, 50 ], s=150, avg=150/5=30
129 assertEquals(30, arb.getAvg());