/*
* 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));
}
}
}