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Declarative Machine Learning

There is a newer version: 1.2.0

/*
 * 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;

public class LessThan extends ValueFunction 
{

	private static final long serialVersionUID = -5598503447690597942L;

	private static LessThan singleObj = null;

	private LessThan() {
		// nothing to do here
	}
	
	public static LessThan getLessThanFnObject() {
		if ( singleObj == null )
			singleObj = new LessThan();
		return singleObj;
	}
	
	public Object clone() throws CloneNotSupportedException {
		// cloning is not supported for singleton classes
		throw new CloneNotSupportedException();
	}

	/*
	 * Arithmetic relational operators (==, !=, <=, >=) must be instead of
	 * Double.compare() due to the inconsistencies in the way
	 * NaN and -0.0 are handled. The behavior of methods in
	 * Double class are designed mainly to make Java
	 * collections work properly. For more details, see the help for
	 * Double.equals() and Double.comapreTo().
	 */
	
	/**
	 * execute() method that returns double is required since current map-reduce
	 * runtime can only produce matrices of doubles. This method is used on MR
	 * side to perform comparisons on matrices like A