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Declarative Machine Learning

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/*
 * 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 org.apache.sysml.runtime.functionobjects;

import java.io.Serializable;

public class PlusMultiply extends ValueFunctionWithConstant implements Serializable
{
	private static final long serialVersionUID = 2801982061205871665L;
	
	private PlusMultiply() {
		// nothing to do here
	}

	public static PlusMultiply getPlusMultiplyFnObject() {
		//create new object as the constant is modified and hence 
		//cannot be shared across multiple threads (e.g., in parfor)
		return new PlusMultiply();
	}
	
	public Object clone() throws CloneNotSupportedException {
		// cloning is not supported for singleton classes
		throw new CloneNotSupportedException();
	}
	
	@Override
	public double execute(double in1, double in2) {
		return in1 + _constant * in2;	
	}
	
	@Override
	public double execute(double in1, long in2) {
		return in1 + _constant * in2;	
	}
	
	@Override
	public double execute(long in1, double in2) {
		return in1 + _constant * in2;	
	}
	
	@Override
	public double execute(long in1, long in2) {
		return in1 + _constant * in2;	
	}
}