/* * 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.ftvec.hashing; import static org.junit.Assert.assertEquals; import java.util.Arrays; import org.apache.hadoop.hive.ql.exec.UDFArgumentException; import org.junit.Test; public class MurmurHash3UDFTest { @Test public void testEvaluate() throws UDFArgumentException { MurmurHash3UDF udf = new MurmurHash3UDF(); assertEquals("hash('hive') == 1966097", 1966097, udf.evaluate("hive").get()); assertEquals("hash('mall') == 36971", 36971, udf.evaluate("mall").get()); } @Test public void testEvaluateWithNumFeatures() throws UDFArgumentException { /* '1 << 24' (16777216) is default number of features */ final int numFeatures = 1 << 24; final int smallNumFeatures = 10; MurmurHash3UDF udf = new MurmurHash3UDF(); assertEquals("hash('hive') == 1966097", 1966097, udf.evaluate("hive", numFeatures).get()); assertEquals("hash('mall') == 36971", 36971, udf.evaluate("mall", numFeatures).get()); assertEquals("hash('hive') == 9", 9, udf.evaluate("hive", smallNumFeatures).get()); assertEquals("hash('mall') == 1", 1, udf.evaluate("mall", smallNumFeatures).get()); } @Test public void testEvaluateArray() throws UDFArgumentException { final String[] words = {"hive", "mall"}; final String[] noWords = {}; final String[] oneWord = {"hivemall"}; MurmurHash3UDF udf = new MurmurHash3UDF(); assertEquals(udf.evaluate("hive\tmall"), udf.evaluate(Arrays.asList(words))); assertEquals(1, udf.evaluate(Arrays.asList(noWords)).get()); assertEquals(udf.evaluate("hivemall"), udf.evaluate(Arrays.asList(oneWord))); } @Test public void testEvaluateArrayWithNumFeatures() throws UDFArgumentException { final int numFeatures = 1 << 24; final String[] words = {"hive", "mall"}; final String[] noWords = {}; final String[] oneWord = {"hivemall"}; MurmurHash3UDF udf = new MurmurHash3UDF(); assertEquals(udf.evaluate("hive\tmall", numFeatures), udf.evaluate(Arrays.asList(words), numFeatures)); assertEquals(1, udf.evaluate(Arrays.asList(noWords), numFeatures).get()); assertEquals(udf.evaluate("hivemall", numFeatures), udf.evaluate(Arrays.asList(oneWord), numFeatures)); } }