/*
* 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 java.util.Collections;
import java.util.List;
import org.junit.Test;
public class Sha1UDFTest {
@Test
public void testEvaluate() {
Sha1UDF udf = new Sha1UDF();
assertEquals("sha1('hive') == 14489008", 14489008, udf.evaluate("hive").get());
assertEquals("sha1('mall') == 8556781", 8556781, udf.evaluate("mall").get());
}
@Test
public void testEvaluateWithNumFeatures() {
final int numFeatures = 1 << 24;
Sha1UDF udf = new Sha1UDF();
assertEquals("sha1('hive') == 14489008", 14489008, udf.evaluate("hive", numFeatures).get());
assertEquals("sha1('mall') == 8556781", 8556781, udf.evaluate("mall", numFeatures).get());
}
@Test
public void testEvaluateArray() {
final List<String> words = Arrays.asList("hive", "mall");
final List<String> noWords = Collections.emptyList();
final List<String> oneWord = Arrays.asList("hivemall");
Sha1UDF udf = new Sha1UDF();
assertEquals(udf.evaluate("hive\tmall"), udf.evaluate(words));
assertEquals(1, udf.evaluate(noWords).get());
assertEquals(udf.evaluate("hivemall"), udf.evaluate(oneWord));
}
@Test
public void testEvaluateArrayWithNumFeatures() {
final int numFeatures = 1 << 24;
final List<String> words = Arrays.asList("hive", "mall");
final List<String> noWords = Collections.emptyList();
final List<String> oneWord = Arrays.asList("hivemall");
Sha1UDF udf = new Sha1UDF();
assertEquals(udf.evaluate("hive\tmall", numFeatures), udf.evaluate(words, numFeatures));
assertEquals(1, udf.evaluate(noWords, numFeatures).get());
assertEquals(udf.evaluate("hivemall", numFeatures), udf.evaluate(oneWord, numFeatures));
}
}