TestMeanStatistic.java
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* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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 org.apache.hadoop.fs.statistics;
import org.assertj.core.api.Assertions;
import org.junit.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.hadoop.test.AbstractHadoopTestBase;
import org.apache.hadoop.util.JsonSerialization;
/**
* Test the {@link MeanStatistic} class.
*/
public class TestMeanStatistic extends AbstractHadoopTestBase {
private static final Logger LOG =
LoggerFactory.getLogger(TestMeanStatistic.class);
private static final int TEN = 10;
private static final double ZEROD = 0.0d;
private static final double TEND = 10.0d;
private final MeanStatistic empty = new MeanStatistic(0, 0);
private final MeanStatistic tenFromOne = new MeanStatistic(1, TEN);
private final MeanStatistic tenFromTen = new MeanStatistic(TEN, TEN);
@Test
public void testEmptiness() throws Throwable {
Assertions.assertThat(empty)
.matches(MeanStatistic::isEmpty, "is empty")
.isEqualTo(new MeanStatistic(0, TEN))
.isEqualTo(new MeanStatistic())
.isNotEqualTo(tenFromOne);
Assertions.assertThat(empty.mean())
.isEqualTo(ZEROD);
Assertions.assertThat(empty.toString())
.contains("0.0");
}
@Test
public void testTenFromOne() throws Throwable {
Assertions.assertThat(tenFromOne)
.matches(p -> !p.isEmpty(), "is not empty")
.isEqualTo(tenFromOne)
.isNotEqualTo(tenFromTen);
Assertions.assertThat(tenFromOne.mean())
.isEqualTo(TEND);
}
@Test
public void testNegativeSamplesAreEmpty() throws Throwable {
MeanStatistic stat = new MeanStatistic(-10, 1);
Assertions.assertThat(stat)
.describedAs("stat with negative samples")
.matches(MeanStatistic::isEmpty, "is empty")
.isEqualTo(empty)
.extracting(MeanStatistic::mean)
.isEqualTo(ZEROD);
Assertions.assertThat(stat.toString())
.contains("0.0");
}
@Test
public void testCopyNonEmpty() throws Throwable {
MeanStatistic stat = tenFromOne.copy();
Assertions.assertThat(stat)
.describedAs("copy of " + tenFromOne)
.isEqualTo(tenFromOne)
.isNotSameAs(tenFromOne);
}
@Test
public void testCopyEmpty() throws Throwable {
MeanStatistic stat = empty.copy();
Assertions.assertThat(stat)
.describedAs("copy of " + empty)
.isEqualTo(empty)
.isNotSameAs(empty);
}
@Test
public void testDoubleSamples() throws Throwable {
MeanStatistic stat = tenFromOne.copy();
Assertions.assertThat(stat.add(tenFromOne))
.isEqualTo(new MeanStatistic(2, 20))
.extracting(MeanStatistic::mean)
.isEqualTo(TEND);
}
@Test
public void testAddEmptyR() throws Throwable {
MeanStatistic stat = tenFromOne.copy();
Assertions.assertThat(stat.add(empty))
.isEqualTo(tenFromOne);
}
@Test
public void testAddEmptyL() throws Throwable {
MeanStatistic stat = empty.copy();
Assertions.assertThat(stat.add(tenFromOne))
.isEqualTo(tenFromOne);
}
@Test
public void testAddEmptyLR() throws Throwable {
MeanStatistic stat = empty.copy();
Assertions.assertThat(stat.add(empty))
.isEqualTo(empty);
}
@Test
public void testAddSampleToEmpty() throws Throwable {
MeanStatistic stat = empty.copy();
stat.addSample(TEN);
Assertions.assertThat(stat)
.isEqualTo(tenFromOne);
}
@Test
public void testAddZeroValueSamples() throws Throwable {
MeanStatistic stat = tenFromOne.copy();
for (int i = 0; i < 9; i++) {
stat.addSample(0);
}
Assertions.assertThat(stat)
.isEqualTo(tenFromTen);
}
@Test
public void testSetSamples() throws Throwable {
MeanStatistic stat = tenFromOne.copy();
stat.setSamples(10);
Assertions.assertThat(stat)
.isEqualTo(tenFromTen);
}
@Test
public void testSetSums() throws Throwable {
MeanStatistic stat = tenFromOne.copy();
stat.setSum(100);
stat.setSamples(20);
Assertions.assertThat(stat)
.isEqualTo(new MeanStatistic(20, 100))
.extracting(MeanStatistic::mean)
.isEqualTo(5.0d);
}
@Test
public void testSetNegativeSamplesMakesEmpty() throws Throwable {
MeanStatistic stat = tenFromOne.copy();
stat.setSamples(-3);
Assertions.assertThat(stat)
.isEqualTo(empty);
}
@Test
public void testJsonRoundTrip() throws Throwable {
JsonSerialization<MeanStatistic> serializer = serializer();
String json = serializer.toJson(tenFromTen);
LOG.info("serialized form\n{}", json);
Assertions.assertThat(json)
.describedAs("JSON form of %s", tenFromTen)
.doesNotContain("empty")
.doesNotContain("mean");
MeanStatistic deser = serializer.fromJson(json);
LOG.info("deserialized {}", deser);
Assertions.assertThat(deser)
.isEqualTo(tenFromTen);
}
/**
* negative sample counts in the json convert the stat to being empty.
*/
@Test
public void testHandleMaliciousStat() throws Throwable {
String json = "{\n"
+ " \"sum\" : 10,\n"
+ " \"samples\" : -10\n"
+ "}";
JsonSerialization<MeanStatistic> serializer = serializer();
MeanStatistic deser = serializer.fromJson(json);
LOG.info("deserialized {}", deser);
Assertions.assertThat(deser)
.isEqualTo(empty);
}
/**
* Get a JSON serializer.
* @return a serializer.
*/
public static JsonSerialization<MeanStatistic> serializer() {
return new JsonSerialization<>(MeanStatistic.class, true, true);
}
}