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synced 2024-11-24 06:06:45 +01:00
Refactor probability tests a little bit
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4a5e3542ef
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@ -33,6 +33,7 @@ import org.bukkit.event.EventPriority;
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import org.bukkit.event.entity.EntityDamageEvent;
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import org.bukkit.inventory.ItemStack;
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import org.jetbrains.annotations.NotNull;
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import org.jetbrains.annotations.VisibleForTesting;
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import java.util.Locale;
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@ -198,7 +199,8 @@ public class Roll extends AcrobaticsSubSkill {
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* @param damage The amount of damage initially dealt by the event
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* @return the modified event damage if the ability was successful, the original event damage otherwise
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*/
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private double rollCheck(Player player, McMMOPlayer mcMMOPlayer, double damage) {
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@VisibleForTesting
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public double rollCheck(Player player, McMMOPlayer mcMMOPlayer, double damage) {
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int skillLevel = mcMMOPlayer.getSkillLevel(getPrimarySkill());
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@ -246,8 +248,7 @@ public class Roll extends AcrobaticsSubSkill {
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private double gracefulRollCheck(Player player, McMMOPlayer mcMMOPlayer, double damage, int skillLevel) {
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double modifiedDamage = calculateModifiedRollDamage(damage, mcMMO.p.getAdvancedConfig().getRollDamageThreshold() * 2);
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double gracefulOdds = ProbabilityUtil.getSubSkillProbability(subSkillType, player).getValue() * 2;
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Probability gracefulProbability = Probability.ofPercent(gracefulOdds);
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Probability gracefulProbability = getGracefulProbability(player);
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if (!isFatal(player, modifiedDamage)
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//TODO: Graceful isn't sending out an event
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@ -271,6 +272,12 @@ public class Roll extends AcrobaticsSubSkill {
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return damage;
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}
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@NotNull
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public static Probability getGracefulProbability(Player player) {
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double gracefulOdds = ProbabilityUtil.getSubSkillProbability(SubSkillType.ACROBATICS_ROLL, player).getValue() * 2;
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return Probability.ofPercent(gracefulOdds);
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}
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/**
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* Check if the player is "farming" Acrobatics XP using
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* exploits in the game.
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@ -1,12 +1,9 @@
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package com.gmail.nossr50.util.random;
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import org.bukkit.entity.Player;
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import org.junit.jupiter.api.BeforeEach;
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import org.junit.jupiter.api.Test;
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import org.junit.jupiter.params.ParameterizedTest;
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import org.junit.jupiter.params.provider.Arguments;
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import org.junit.jupiter.params.provider.MethodSource;
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import org.mockito.Mockito;
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import java.util.stream.Stream;
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@ -82,26 +79,17 @@ class ProbabilityTest {
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@ParameterizedTest
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@MethodSource("provideProbabilitiesForWithinExpectations")
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void testOddsExpectationsImplConstructor(Probability probability, double expectedWinPercent) {
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// Probabilities are tested 200,000,000 times with a margin of error of 0.01%
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int iterations = 200000000;
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double winCount = 0;
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for (int i = 0; i < iterations; i++) {
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if(probability.evaluate()) {
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winCount++;
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}
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}
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double successPercent = (winCount / iterations) * 100;
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System.out.println(successPercent + ", " + expectedWinPercent);
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assertEquals(expectedWinPercent, successPercent, 0.01D);
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assertExpectations(probability, expectedWinPercent);
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}
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@ParameterizedTest
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@MethodSource("provideOfPercentageProbabilitiesForWithinExpectations")
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void testOddsExpectationsOfPercent(Probability probability, double expectedWinPercent) {
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// Probabilities are tested 2.0 x 10^9 with a margin of error of 0.01%
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double iterations = 2.0e9;
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assertExpectations(probability, expectedWinPercent);
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}
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private static void assertExpectations(Probability probability, double expectedWinPercent) {
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double iterations = 2.0e7;
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double winCount = 0;
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for (int i = 0; i < iterations; i++) {
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@ -112,6 +100,6 @@ class ProbabilityTest {
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double successPercent = (winCount / iterations) * 100;
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System.out.println(successPercent + ", " + expectedWinPercent);
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assertEquals(expectedWinPercent, successPercent, 0.01D);
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assertEquals(expectedWinPercent, successPercent, 0.05D);
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}
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}
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@ -1,18 +1,22 @@
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package com.gmail.nossr50.util.random;
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import com.gmail.nossr50.config.AdvancedConfig;
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import com.gmail.nossr50.datatypes.player.McMMOPlayer;
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import com.gmail.nossr50.datatypes.skills.SubSkillType;
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import com.gmail.nossr50.mcMMO;
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import org.bukkit.entity.Player;
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import org.junit.jupiter.api.BeforeEach;
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import org.junit.jupiter.api.Test;
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import org.junit.jupiter.params.ParameterizedTest;
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import org.junit.jupiter.params.provider.Arguments;
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import org.junit.jupiter.params.provider.MethodSource;
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import org.mockito.Mockito;
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import java.util.stream.Stream;
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import static com.gmail.nossr50.datatypes.skills.SubSkillType.*;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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import static org.mockito.Mockito.mock;
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import static org.mockito.Mockito.when;
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class ProbabilityUtilTest {
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@ -25,13 +29,13 @@ class ProbabilityUtilTest {
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@BeforeEach
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public void setupMocks() throws NoSuchFieldException, IllegalAccessException {
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this.mmoInstance = Mockito.mock(mcMMO.class);
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this.mmoInstance = mock(mcMMO.class);
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mcMMO.class.getField("p").set(null, mmoInstance);
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this.advancedConfig = Mockito.mock(AdvancedConfig.class);
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Mockito.when(mmoInstance.getAdvancedConfig()).thenReturn(advancedConfig);
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Mockito.when(advancedConfig.getImpactChance()).thenReturn(impactChance);
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Mockito.when(advancedConfig.getGreaterImpactChance()).thenReturn(greaterImpactChance);
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Mockito.when(advancedConfig.getFastFoodChance()).thenReturn(fastFoodChance);
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this.advancedConfig = mock(AdvancedConfig.class);
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when(mmoInstance.getAdvancedConfig()).thenReturn(advancedConfig);
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when(advancedConfig.getImpactChance()).thenReturn(impactChance);
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when(advancedConfig.getGreaterImpactChance()).thenReturn(greaterImpactChance);
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when(advancedConfig.getFastFoodChance()).thenReturn(fastFoodChance);
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}
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private static Stream<Arguments> staticChanceSkills() {
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@ -46,19 +50,21 @@ class ProbabilityUtilTest {
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@ParameterizedTest
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@MethodSource("staticChanceSkills")
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void testStaticChanceSkills(SubSkillType subSkillType, double expectedWinPercent) throws InvalidStaticChance {
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// Probabilities are tested 2.0 x 10^9 with a margin of error of 0.01%
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double iterations = 2.0e9;
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double winCount = 0;
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Probability staticRandomChance = ProbabilityUtil.getStaticRandomChance(subSkillType);
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assertProbabilityExpectations(expectedWinPercent, staticRandomChance);
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}
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private static void assertProbabilityExpectations(double expectedWinPercent, Probability probability) {
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double iterations = 2.0e7;
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double winCount = 0;
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for (int i = 0; i < iterations; i++) {
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if(staticRandomChance.evaluate()) {
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if(probability.evaluate()) {
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winCount++;
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}
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}
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double successPercent = (winCount / iterations) * 100;
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System.out.println(successPercent + ", " + expectedWinPercent);
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assertEquals(expectedWinPercent, successPercent, 0.01D);
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assertEquals(expectedWinPercent, successPercent, 0.05D);
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}
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}
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}
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