/*
* 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 hivemall.knn.lsh;
import hivemall.knn.lsh.MinHashesUDF;
import java.util.Arrays;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.junit.Test;
import org.junit.Assert;
public class MinHashUDFTest {
@Test
public void testEvaluate() throws HiveException {
MinHashesUDF minhash = new MinHashesUDF();
Assert.assertEquals(5, minhash.evaluate(Arrays.asList(1, 2, 3, 4)).size());
Assert.assertEquals(9, minhash.evaluate(Arrays.asList(1, 2, 3, 4), 9, 2).size());
Assert.assertEquals(minhash.evaluate(Arrays.asList(1, 2, 3, 4)),
minhash.evaluate(Arrays.asList(1, 2, 3, 4), 5, 2));
Assert.assertEquals(minhash.evaluate(Arrays.asList(1, 2, 3, 4)),
minhash.evaluate(Arrays.asList("1", "2", "3", "4"), true));
Assert.assertEquals(minhash.evaluate(Arrays.asList(1, 2, 3, 4)),
minhash.evaluate(Arrays.asList("1:1.0", "2:1.0", "3:1.0", "4:1.0"), false));
}
}