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Stochastice Performance Logic is a formalism for capturing performance assumptions. It is, for example, possible to capture assumption that newer version of a function bar is faster than the previous version or that library foobar is faster than library barfoo when rendering antialiased text. The purpose of this framework is to allow evaluation of SPL formulas inside Java applications.

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/*
 * Copyright 2015 Charles University in Prague
 * Copyright 2015 Vojtech Horky
 * 
 * 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 cz.cuni.mff.d3s.spl.utils;

import java.util.Collection;
import java.util.Collections;
import java.util.LinkedList;
import java.util.List;

/** Simple ring buffer with option of unlimited size.
 */
public class RingBuffer {
	
	private List data = new LinkedList<>();
	private int maxSize = Integer.MAX_VALUE;
	
	/** Creates ring-buffer with virtually unlimited size.
	 * 
	 * 
	 * The actual size is Integer.MAX_VALUE.
	 */
	public RingBuffer() {
	}
	
	public RingBuffer(int size) {
		if (size <= 0) {
			throw new IllegalArgumentException("Ring buffer size must be positive");
		}
		maxSize = size;
	}
	
	public static  RingBuffer createEmpty() {
		RingBuffer result = new RingBuffer<>();
		result.maxSize = 0;
		return result;
	}
	
	public synchronized void add(E element) {
		data.add(element);
		if (data.size() > maxSize) {
			data.remove(0);
		}
	}
	
	public synchronized Collection get() {
		return Collections.unmodifiableCollection(data);
	}
	
	public int getRingSize() {
		return maxSize;
	}
}