/* * 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)); } }