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/*
 * Copyright (C) 2022 Parisi Alessandro - [email protected]
 * This file is part of MaterialFX (https://github.com/palexdev/MaterialFX)
 *
 * MaterialFX is free software: you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public License
 * as published by the Free Software Foundation; either version 3 of the License,
 * or (at your option) any later version.
 *
 * MaterialFX is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
 * See the GNU Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public License
 * along with MaterialFX. If not, see .
 */

package io.github.palexdev.mfxcore.utils;

import java.util.HashMap;
import java.util.Map;
import java.util.function.Function;

/**
 * Simple implementation of a Memoizer.
 * 
 * Memoization is a technique to store the results of expensive function calls and returning the cached result
 * when the same inputs occur again.
 * 
 * Given a {@code Function fn}, use {@code Memoizer.memoize(fn)} to obtain a new function {@code Function mfn}
 * which you can use from now on to store/cache the results.
 */
public class Memoizer {
	public final Map cache = new HashMap<>();

	public Function doMemoize(final Function function) {
		return value -> cache.computeIfAbsent(value, function);
	}

	public static  Function memoize(final Function function) {
		return new Memoizer().doMemoize(function);
	}
}