/**
* 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.mahout.ga.watchmaker.cd.hadoop;
import junit.framework.TestCase;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.RecordReader;
import org.apache.mahout.ga.watchmaker.cd.hadoop.DatasetSplit.RndLineRecordReader;
import org.uncommons.maths.random.MersenneTwisterRNG;
import java.io.IOException;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Set;
/**
*
*/
public class DatasetSplitTest extends TestCase {
/**
* Mock RecordReader that returns a sequence of keys in the range [0, size[
*/
private static class MockReader implements RecordReader<LongWritable, Text> {
private long current;
private long size;
public MockReader(long size) {
assert size > 0 : "size == 0";
this.size = size;
}
public void close() throws IOException {
// TODO Auto-generated method stub
}
public LongWritable createKey() {
// TODO Auto-generated method stub
return null;
}
public Text createValue() {
// TODO Auto-generated method stub
return null;
}
public long getPos() throws IOException {
// TODO Auto-generated method stub
return 0;
}
public float getProgress() throws IOException {
// TODO Auto-generated method stub
return 0;
}
public boolean next(LongWritable key, Text value) throws IOException {
if (current == size) {
return false;
} else {
key.set(current++);
return true;
}
}
}
public void testTrainingTestingSets() throws IOException {
int n = 20;
for (int nloop = 0; nloop < n; nloop++) {
long datasetSize = 100;
MersenneTwisterRNG rng = new MersenneTwisterRNG();
byte[] seed = rng.getSeed();
double threshold = rng.nextDouble();
JobConf conf = new JobConf();
RndLineRecordReader rndReader;
Set<Long> dataset = new HashSet<Long>();
LongWritable key = new LongWritable();
Text value = new Text();
DatasetSplit split = new DatasetSplit(seed, threshold);
// read the training set
split.storeJobParameters(conf);
rndReader = new RndLineRecordReader(new MockReader(datasetSize), conf);
while (rndReader.next(key, value)) {
assertTrue("duplicate line index", dataset.add(key.get()));
}
// read the testing set
split.setTraining(false);
split.storeJobParameters(conf);
rndReader = new RndLineRecordReader(new MockReader(datasetSize), conf);
while (rndReader.next(key, value)) {
assertTrue("duplicate line index", dataset.add(key.get()));
}
assertEquals("missing datas", datasetSize, dataset.size());
}
}
public void testStoreJobParameters() {
int n = 20;
for (int nloop = 0; nloop < n; nloop++) {
MersenneTwisterRNG rng = new MersenneTwisterRNG();
byte[] seed = rng.getSeed();
double threshold = rng.nextDouble();
boolean training = rng.nextBoolean();
DatasetSplit split = new DatasetSplit(seed, threshold);
split.setTraining(training);
JobConf conf = new JobConf();
split.storeJobParameters(conf);
assertTrue("bad seed", Arrays.equals(seed, DatasetSplit.getSeed(conf)));
assertEquals("bad threshold", threshold, DatasetSplit.getThreshold(conf));
assertEquals("bad training", training, DatasetSplit.isTraining(conf));
}
}
}