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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.data;

import cz.cuni.mff.d3s.spl.utils.PrimitiveIterables;

import java.util.Arrays;
import java.util.Collection;

/** Immutable implementation of BenchmarkRun that makes and returns
 * always copy of the initial data.
 *
 */
public class ImmutableBenchmarkRun implements BenchmarkRun {
	private final double[] data;

	public ImmutableBenchmarkRun(double... samples) {
		data = Arrays.copyOf(samples, samples.length);
	}

	public ImmutableBenchmarkRun(Collection samples) {
		this(samples, 0);
	}
	
	public ImmutableBenchmarkRun(Collection samples, int skip) {
		int size = samples.size() - skip;
		int idx = 0 - skip;
		data = new double[size];
		for (double val : samples) {
			if (idx >= 0) data[idx] = val;
			idx++;
		}
	}
	
	public ImmutableBenchmarkRun(BenchmarkRun run, int skip) {
		synchronized (run) {
			int itemsCount = run.getSampleCount() - skip;
			data = new double[itemsCount];
			for (int i = 0; i < data.length; i++) {
				data[i] = run.getSample(i + skip);
			}
		}
	}

	public ImmutableBenchmarkRun(BenchmarkRun run) {
		this(run, 0);
	}

	@Override
	public Iterable getSamples() {
		return PrimitiveIterables.makeIterable(data);
	}

	@Override
	public int getSampleCount() {
		return data.length;
	}

	@Override
	public double getSample(int index) {
		return data[index];
	}
}