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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);
}
}
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