/* * The MIT License * * Copyright 2015 nikku. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN * THE SOFTWARE. */ package kickr.analytics; import org.junit.Test; import static kickr.analytics.Scores.*; /** * * @author nikku */ public class ScoresTest { @Test public void shouldHaveAwesomeProbability() { double[] scenarios = { 0.01, 0.1, 0.25, 0.43, 0.47, 0.5, 0.53, 0.57, 0.75, 0.9, 0.99 }; System.out.printf("mv=%.2f, winMultiplier=%s, lossMultiplier=%s\n", MV, WIN_MULTIPLIER, LOSS_MULTIPLIER); System.out.println(""); System.out.println("prop | win | loss | sum | sum / prop"); for (double probability : scenarios) { System.out.printf("%.2f | %2d | %2d | %2d | %.3f\n", probability, calculateWinPoints(probability), calculateLossPoints(probability), calculateWinPoints(probability) + -1 * calculateLossPoints(probability), (calculateWinPoints(probability) + -1 * calculateLossPoints(probability)) / (1 - probability)); } } }