blob: b5239595a26e28b112154164b8453e40197898a6 [file] [log] [blame]
package org.apache.helix.controller.rebalancer.waged.constraints;
/*
* 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.
*/
import org.apache.helix.controller.rebalancer.waged.model.AssignableNode;
import org.apache.helix.controller.rebalancer.waged.model.AssignableReplica;
import org.apache.helix.controller.rebalancer.waged.model.ClusterContext;
import org.testng.Assert;
import org.testng.annotations.Test;
public class TestSoftConstraintNormalizeFunction {
@Test
public void testDefaultNormalizeFunction() {
int maxScore = 100;
int minScore = 0;
SoftConstraint softConstraint = new SoftConstraint(maxScore, minScore) {
@Override
protected float getAssignmentScore(AssignableNode node, AssignableReplica replica,
ClusterContext clusterContext) {
return 0;
}
};
for (int i = minScore; i <= maxScore; i++) {
float normalized = softConstraint.getNormalizeFunction().scale(i);
Assert.assertTrue(normalized <= 1 && normalized >= 0,
String.format("input: %s, output: %s", i, normalized));
}
}
}