/**
 * Copyright 2015, Emory University
 * 
 * Licensed 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 edu.emory.mathcs.nlp.learning.initialization;

import edu.emory.mathcs.nlp.common.random.XORShiftRandom;

import java.util.Random;


/**
 * @author Jinho D. Choi ({@code jinho.choi@emory.edu})
 */
public class RandomWeightGenerator implements WeightGenerator
{
	/**
	 * 
	 */
	private static final long serialVersionUID = 4923093894775449475L;
	private float  lower_bound;	// inclusive
	private float  upper_bound;	// exclusive
	private Random rand;
	
	public RandomWeightGenerator(float lowerBound, float upperBound)
	{
		lower_bound = lowerBound;
		upper_bound = upperBound;
		rand = new XORShiftRandom(9);
	}
	
	@Override
	public float next()
	{
		return lower_bound + (upper_bound - lower_bound) * rand.nextFloat();
	}
}
