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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.Iterator;

/** Iterables over primitive types.
 */
public class PrimitiveIterables {
	
	public static Iterable makeIterable(final double[] array) {
		return new Iterable() {
			@Override
			public Iterator iterator() {
				return new LongIterator(array);
			}
		};
	}
	
	private static class LongIterator implements Iterator {
		private final double[] array;
		private int index;
		
		public LongIterator(final double[] data) {
			array = data;
			index = 0;
		}
		
		@Override
		public boolean hasNext() {
			return index < array.length;
		}

		@Override
		public Double next() {
			return array[index++];
		}
		
		@Override
		public void remove() {
			throw new UnsupportedOperationException("Impossible to remove item from an array");
		}
	}
}