mirror of
https://github.com/mcMMO-Dev/mcMMO.git
synced 2024-11-25 14:46:46 +01:00
fix probability being unbounded
This commit is contained in:
parent
aecf17a2a2
commit
b6e512b09e
@ -1,3 +1,10 @@
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Version 2.2.005
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Fixed a bug where certain skills such as Dodge/Arrow Deflect had no skill cap and would continue improving forever
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Reduced messages on startup for SQL DB
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(API) Constructor for ProbabilityImpl now takes a raw value between 0 and 1 instead of an inflated percentage
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(API) Added some convenience methods to Probability, and ProbabilityUtil classes
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(Codebase) Added more unit tests revolving around Probability/RNG
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Version 2.2.004
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Version 2.2.004
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Fixed bug where values from Experience_Formula.Skill_Multiplier were not functioning
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Fixed bug where values from Experience_Formula.Skill_Multiplier were not functioning
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@ -1037,13 +1037,13 @@ public final class SQLDatabaseManager implements DatabaseManager {
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try (Connection connection = getConnection(PoolIdentifier.MISC)) {
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try (Connection connection = getConnection(PoolIdentifier.MISC)) {
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if (!columnExists(connection, mcMMO.p.getGeneralConfig().getMySQLDatabaseName(), tablePrefix+tableName, columnName)) {
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if (!columnExists(connection, mcMMO.p.getGeneralConfig().getMySQLDatabaseName(), tablePrefix+tableName, columnName)) {
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try (Statement createStatement = connection.createStatement()) {
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try (Statement createStatement = connection.createStatement()) {
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logger.info("[SQLDB Check] Adding column '" + columnName + "' to table '" + tablePrefix + tableName + "'...");
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// logger.info("[SQLDB Check] Adding column '" + columnName + "' to table '" + tablePrefix + tableName + "'...");
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String startingLevel = "'" + mcMMO.p.getAdvancedConfig().getStartingLevel() + "'";
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String startingLevel = "'" + mcMMO.p.getAdvancedConfig().getStartingLevel() + "'";
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createStatement.executeUpdate("ALTER TABLE `" + tablePrefix + tableName + "` "
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createStatement.executeUpdate("ALTER TABLE `" + tablePrefix + tableName + "` "
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+ "ADD COLUMN `" + columnName + "` int(" + columnSize + ") unsigned NOT NULL DEFAULT " + startingLevel);
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+ "ADD COLUMN `" + columnName + "` int(" + columnSize + ") unsigned NOT NULL DEFAULT " + startingLevel);
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}
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}
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} else {
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} else {
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logger.info("[SQLDB Check] Column '" + columnName + "' already exists in table '" + tablePrefix + tableName + "', looks good!");
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// logger.info("[SQLDB Check] Column '" + columnName + "' already exists in table '" + tablePrefix + tableName + "', looks good!");
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}
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}
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} catch (SQLException e) {
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} catch (SQLException e) {
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e.printStackTrace(); // Consider more robust logging
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e.printStackTrace(); // Consider more robust logging
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@ -1052,7 +1052,7 @@ public final class SQLDatabaseManager implements DatabaseManager {
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}
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}
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private boolean columnExists(Connection connection, String database, String tableName, String columnName) throws SQLException {
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private boolean columnExists(Connection connection, String database, String tableName, String columnName) throws SQLException {
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logger.info("[SQLDB Check] Checking if column '" + columnName + "' exists in table '" + tableName + "'");
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// logger.info("[SQLDB Check] Checking if column '" + columnName + "' exists in table '" + tableName + "'");
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try (Statement createStatement = connection.createStatement()) {
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try (Statement createStatement = connection.createStatement()) {
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String sql = "SELECT `COLUMN_NAME`\n" +
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String sql = "SELECT `COLUMN_NAME`\n" +
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"FROM `INFORMATION_SCHEMA`.`COLUMNS`\n" +
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"FROM `INFORMATION_SCHEMA`.`COLUMNS`\n" +
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@ -1,10 +1,21 @@
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package com.gmail.nossr50.util.random;
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package com.gmail.nossr50.util.random;
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import com.gmail.nossr50.api.exceptions.ValueOutOfBoundsException;
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import org.jetbrains.annotations.NotNull;
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import org.jetbrains.annotations.NotNull;
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import java.util.concurrent.ThreadLocalRandom;
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import java.util.concurrent.ThreadLocalRandom;
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public interface Probability {
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public interface Probability {
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/**
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* A Probability that always fails.
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*/
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Probability ALWAYS_FAILS = () -> 0;
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/**
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* A Probability that always succeeds.
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*/
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Probability ALWAYS_SUCCEEDS = () -> 1;
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/**
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/**
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* The value of this Probability
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* The value of this Probability
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* Should return a result between 0 and 1 (inclusive)
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* Should return a result between 0 and 1 (inclusive)
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@ -17,19 +28,40 @@ public interface Probability {
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double getValue();
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double getValue();
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/**
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/**
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* Create a new Probability with the given value
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* Create a new Probability of a percentage.
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* A value of 100 would represent 100% chance of success
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* This method takes a percentage and creates a Probability of equivalent odds.
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* A value of 50 would represent 50% chance of success
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*
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* A value of 0 would represent 0% chance of success
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* A value of 100 would represent 100% chance of success,
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* A value of 1 would represent 1% chance of success
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* A value of 50 would represent 50% chance of success,
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* A value of 0.5 would represent 0.5% chance of success
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* A value of 0 would represent 0% chance of success,
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* A value of 0.01 would represent 0.01% chance of success
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* A value of 1 would represent 1% chance of success,
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* A value of 0.5 would represent 0.5% chance of success,
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* A value of 0.01 would represent 0.01% chance of success.
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*
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*
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* @param percentage the value of the probability
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* @param percentage the value of the probability
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* @return a new Probability with the given value
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* @return a new Probability with the given value
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*/
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*/
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static @NotNull Probability ofPercent(double percentage) {
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static @NotNull Probability ofPercent(double percentage) {
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return new ProbabilityImpl(percentage);
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if (percentage < 0) {
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throw new ValueOutOfBoundsException("Value should never be negative for Probability! This suggests a coding mistake, contact the devs!");
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}
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// Convert to a 0-1 floating point representation
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double probabilityValue = percentage / 100.0D;
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return new ProbabilityImpl(probabilityValue);
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}
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/**
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* Create a new Probability of a value.
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* This method takes a value between 0 and 1 and creates a Probability of equivalent odds.
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* A value of 1 or greater represents something that will always succeed.
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* A value of around 0.5 represents something that succeeds around half the time.
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* A value of 0 represents something that will always fail.
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* @param value the value of the probability
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* @return a new Probability with the given value
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*/
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static @NotNull Probability ofValue(double value) {
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return new ProbabilityImpl(value);
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}
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}
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/**
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/**
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@ -8,31 +8,22 @@ public class ProbabilityImpl implements Probability {
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private final double probabilityValue;
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private final double probabilityValue;
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/**
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/**
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* Create a probability with a static value
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* Create a probability from a static value.
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* A value of 0 represents a 0% chance of success,
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* A value of 1 represents a 100% chance of success.
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* A value of 0.5 represents a 50% chance of success.
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* A value of 0.01 represents a 1% chance of success.
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* And so on.
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*
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*
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* @param percentage the percentage value of the probability
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* @param value the value of the probability between 0 and 100
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*/
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*/
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ProbabilityImpl(double percentage) throws ValueOutOfBoundsException {
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public ProbabilityImpl(double value) throws ValueOutOfBoundsException {
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if (percentage < 0) {
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if (value < 0) {
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throw new ValueOutOfBoundsException("Value should never be negative for Probability! This suggests a coding mistake, contact the devs!");
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throw new ValueOutOfBoundsException("Value should never be negative for Probability!" +
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" This suggests a coding mistake, contact the devs!");
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}
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}
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// Convert to a 0-1 floating point representation
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probabilityValue = value;
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probabilityValue = percentage / 100.0D;
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}
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ProbabilityImpl(double xPos, double xCeiling, double probabilityCeiling) throws ValueOutOfBoundsException {
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if(probabilityCeiling > 100) {
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throw new ValueOutOfBoundsException("Probability Ceiling should never be above 100!");
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} else if (probabilityCeiling < 0) {
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throw new ValueOutOfBoundsException("Probability Ceiling should never be below 0!");
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}
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//Get the percent success, this will be from 0-100
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double probabilityPercent = (probabilityCeiling * (xPos / xCeiling));
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//Convert to a 0-1 floating point representation
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this.probabilityValue = probabilityPercent / 100.0D;
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}
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}
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@Override
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@Override
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@ -79,24 +79,24 @@ public class ProbabilityUtil {
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switch (getProbabilityType(subSkillType)) {
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switch (getProbabilityType(subSkillType)) {
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case DYNAMIC_CONFIGURABLE:
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case DYNAMIC_CONFIGURABLE:
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double probabilityCeiling;
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double probabilityCeiling;
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double xCeiling;
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double skillLevel;
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double xPos;
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double maxBonusLevel; // If a skill level is equal to the cap, it has the full probability
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if (player != null) {
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if (player != null) {
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McMMOPlayer mmoPlayer = UserManager.getPlayer(player);
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McMMOPlayer mmoPlayer = UserManager.getPlayer(player);
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if (mmoPlayer == null) {
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if (mmoPlayer == null) {
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return Probability.ofPercent(0);
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return Probability.ofPercent(0);
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}
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}
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xPos = mmoPlayer.getSkillLevel(subSkillType.getParentSkill());
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skillLevel = mmoPlayer.getSkillLevel(subSkillType.getParentSkill());
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} else {
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} else {
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xPos = 0;
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skillLevel = 0;
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}
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}
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//Probability ceiling is configurable in this type
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//Probability ceiling is configurable in this type
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probabilityCeiling = mcMMO.p.getAdvancedConfig().getMaximumProbability(subSkillType);
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probabilityCeiling = mcMMO.p.getAdvancedConfig().getMaximumProbability(subSkillType);
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//The xCeiling is configurable in this type
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//The xCeiling is configurable in this type
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xCeiling = mcMMO.p.getAdvancedConfig().getMaxBonusLevel(subSkillType);
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maxBonusLevel = mcMMO.p.getAdvancedConfig().getMaxBonusLevel(subSkillType);
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return new ProbabilityImpl(xPos, xCeiling, probabilityCeiling);
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return calculateCurrentSkillProbability(skillLevel, 0, probabilityCeiling, maxBonusLevel);
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case STATIC_CONFIGURABLE:
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case STATIC_CONFIGURABLE:
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try {
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try {
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return getStaticRandomChance(subSkillType);
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return getStaticRandomChance(subSkillType);
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@ -127,22 +127,7 @@ public class ProbabilityUtil {
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* @return true if the Skill RNG succeeds, false if it fails
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* @return true if the Skill RNG succeeds, false if it fails
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*/
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*/
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public static boolean isSkillRNGSuccessful(@NotNull SubSkillType subSkillType, @NotNull Player player) {
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public static boolean isSkillRNGSuccessful(@NotNull SubSkillType subSkillType, @NotNull Player player) {
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//Process probability
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final Probability probability = getSkillProbability(subSkillType, player);
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Probability probability = getSubSkillProbability(subSkillType, player);
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//Send out event
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SubSkillEvent subSkillEvent = EventUtils.callSubSkillEvent(player, subSkillType);
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if(subSkillEvent.isCancelled()) {
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return false; //Event got cancelled so this doesn't succeed
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}
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//Result modifier
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double resultModifier = subSkillEvent.getResultModifier();
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//Mutate probability
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if(resultModifier != 1.0D)
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probability = Probability.ofPercent(probability.getValue() * resultModifier);
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//Luck
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//Luck
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boolean isLucky = Permissions.lucky(player, subSkillType.getParentSkill());
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boolean isLucky = Permissions.lucky(player, subSkillType.getParentSkill());
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@ -154,12 +139,42 @@ public class ProbabilityUtil {
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}
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}
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}
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}
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/**
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* Returns the {@link Probability} for a specific {@link SubSkillType} for a specific {@link Player}.
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* This does not take into account perks such as lucky for the player.
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* This is affected by other plugins who can listen to the {@link SubSkillEvent} and cancel it or mutate it.
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*
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* @param subSkillType the target subskill
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* @param player the target player
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* @return the probability for this skill
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*/
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public static Probability getSkillProbability(@NotNull SubSkillType subSkillType, @NotNull Player player) {
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//Process probability
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Probability probability = getSubSkillProbability(subSkillType, player);
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//Send out event
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SubSkillEvent subSkillEvent = EventUtils.callSubSkillEvent(player, subSkillType);
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if(subSkillEvent.isCancelled()) {
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return Probability.ALWAYS_FAILS;
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}
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//Result modifier
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double resultModifier = subSkillEvent.getResultModifier();
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//Mutate probability
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if(resultModifier != 1.0D)
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probability = Probability.ofPercent(probability.getValue() * resultModifier);
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return probability;
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}
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/**
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/**
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* This is one of several Skill RNG check methods
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* This is one of several Skill RNG check methods
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* This helper method is specific to static value RNG, which can be influenced by a player's Luck
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* This helper method is specific to static value RNG, which can be influenced by a player's Luck
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*
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*
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* @param primarySkillType the related primary skill
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* @param primarySkillType the related primary skill
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* @param player the target player, can be null (null players have the worst odds)
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* @param player the target player can be null (null players have the worst odds)
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* @param probabilityPercentage the probability of this player succeeding in "percentage" format (0-100 inclusive)
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* @param probabilityPercentage the probability of this player succeeding in "percentage" format (0-100 inclusive)
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* @return true if the RNG succeeds, false if it fails
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* @return true if the RNG succeeds, false if it fails
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*/
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*/
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@ -223,4 +238,31 @@ public class ProbabilityUtil {
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return new String[]{percent.format(firstValue), percent.format(secondValue)};
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return new String[]{percent.format(firstValue), percent.format(secondValue)};
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}
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}
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/**
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* Helper function to calculate what probability a given skill has at a certain level
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* @param skillLevel the skill level currently between the floor and the ceiling
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* @param floor the minimum odds this skill can have
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* @param ceiling the maximum odds this skill can have
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* @param maxBonusLevel the maximum level this skill can have to reach the ceiling
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*
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* @return the probability of success for this skill at this level
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*/
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public static Probability calculateCurrentSkillProbability(double skillLevel, double floor,
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double ceiling, double maxBonusLevel) {
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// The odds of success are between the value of the floor and the value of the ceiling.
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// If the skill has a maxBonusLevel of 500 on this skill, then at skill level 500 you would have the full odds,
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// at skill level 250 it would be half odds.
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if (skillLevel >= maxBonusLevel || maxBonusLevel <= 0) {
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// Avoid divide by zero bugs
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// Max benefit has been reached, should always succeed
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return Probability.ofPercent(ceiling);
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}
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double odds = (skillLevel / maxBonusLevel) * 100D;
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// make sure the odds aren't lower or higher than the floor or ceiling
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return Probability.ofPercent(Math.min(Math.max(floor, odds), ceiling));
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}
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}
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}
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@ -14,19 +14,19 @@ class ProbabilityTest {
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private static Stream<Arguments> provideProbabilitiesForWithinExpectations() {
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private static Stream<Arguments> provideProbabilitiesForWithinExpectations() {
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return Stream.of(
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return Stream.of(
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// static probability, % of time for success
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// static probability, % of time for success
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Arguments.of(new ProbabilityImpl(5), 5),
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Arguments.of(new ProbabilityImpl(.05), 5),
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Arguments.of(new ProbabilityImpl(10), 10),
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Arguments.of(new ProbabilityImpl(.10), 10),
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Arguments.of(new ProbabilityImpl(15), 15),
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Arguments.of(new ProbabilityImpl(.15), 15),
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Arguments.of(new ProbabilityImpl(20), 20),
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Arguments.of(new ProbabilityImpl(.20), 20),
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Arguments.of(new ProbabilityImpl(25), 25),
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Arguments.of(new ProbabilityImpl(.25), 25),
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Arguments.of(new ProbabilityImpl(50), 50),
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Arguments.of(new ProbabilityImpl(.50), 50),
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Arguments.of(new ProbabilityImpl(75), 75),
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Arguments.of(new ProbabilityImpl(.75), 75),
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Arguments.of(new ProbabilityImpl(90), 90),
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Arguments.of(new ProbabilityImpl(.90), 90),
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Arguments.of(new ProbabilityImpl(99.9), 99.9),
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Arguments.of(new ProbabilityImpl(.999), 99.9),
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Arguments.of(new ProbabilityImpl(0.05), 0.05),
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Arguments.of(new ProbabilityImpl(0.0005), 0.05),
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Arguments.of(new ProbabilityImpl(0.1), 0.1),
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Arguments.of(new ProbabilityImpl(0.001), 0.1),
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Arguments.of(new ProbabilityImpl(500), 100),
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Arguments.of(new ProbabilityImpl(50.0), 100),
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Arguments.of(new ProbabilityImpl(1000), 100)
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Arguments.of(new ProbabilityImpl(100.0), 100)
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);
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);
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}
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}
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@ -0,0 +1,22 @@
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package com.gmail.nossr50.util.random;
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import static org.junit.jupiter.api.Assertions.assertEquals;
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public class ProbabilityTestUtils {
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public static void assertProbabilityExpectations(double expectedWinPercent, Probability probability) {
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double iterations = 2.0e7; //20 million
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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("Wins: " + winCount);
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|
System.out.println("Fails: " + (iterations - winCount));
|
||||||
|
System.out.println("Percentage succeeded: " + successPercent + ", Expected: " + expectedWinPercent);
|
||||||
|
assertEquals(expectedWinPercent, successPercent, 0.025D);
|
||||||
|
System.out.println("Variance is within tolerance levels!");
|
||||||
|
}
|
||||||
|
}
|
@ -1,39 +1,44 @@
|
|||||||
package com.gmail.nossr50.util.random;
|
package com.gmail.nossr50.util.random;
|
||||||
|
|
||||||
import com.gmail.nossr50.config.AdvancedConfig;
|
import com.gmail.nossr50.MMOTestEnvironment;
|
||||||
import com.gmail.nossr50.datatypes.skills.SubSkillType;
|
import com.gmail.nossr50.datatypes.skills.SubSkillType;
|
||||||
import com.gmail.nossr50.mcMMO;
|
import org.junit.jupiter.api.AfterEach;
|
||||||
import org.junit.jupiter.api.BeforeEach;
|
import org.junit.jupiter.api.BeforeEach;
|
||||||
|
import org.junit.jupiter.api.Test;
|
||||||
import org.junit.jupiter.params.ParameterizedTest;
|
import org.junit.jupiter.params.ParameterizedTest;
|
||||||
import org.junit.jupiter.params.provider.Arguments;
|
import org.junit.jupiter.params.provider.Arguments;
|
||||||
import org.junit.jupiter.params.provider.MethodSource;
|
import org.junit.jupiter.params.provider.MethodSource;
|
||||||
|
|
||||||
|
import java.util.logging.Logger;
|
||||||
import java.util.stream.Stream;
|
import java.util.stream.Stream;
|
||||||
|
|
||||||
import static com.gmail.nossr50.datatypes.skills.SubSkillType.*;
|
import static com.gmail.nossr50.datatypes.skills.SubSkillType.*;
|
||||||
|
import static com.gmail.nossr50.util.random.ProbabilityTestUtils.assertProbabilityExpectations;
|
||||||
|
import static com.gmail.nossr50.util.random.ProbabilityUtil.calculateCurrentSkillProbability;
|
||||||
|
import static java.util.logging.Logger.getLogger;
|
||||||
import static org.junit.jupiter.api.Assertions.assertEquals;
|
import static org.junit.jupiter.api.Assertions.assertEquals;
|
||||||
import static org.mockito.Mockito.mock;
|
|
||||||
import static org.mockito.Mockito.when;
|
import static org.mockito.Mockito.when;
|
||||||
|
|
||||||
class ProbabilityUtilTest {
|
class ProbabilityUtilTest extends MMOTestEnvironment {
|
||||||
mcMMO mmoInstance;
|
private static final Logger logger = getLogger(ProbabilityUtilTest.class.getName());
|
||||||
AdvancedConfig advancedConfig;
|
|
||||||
|
|
||||||
final static double impactChance = 11D;
|
final static double impactChance = 11D;
|
||||||
final static double greaterImpactChance = 0.007D;
|
final static double greaterImpactChance = 0.007D;
|
||||||
final static double fastFoodChance = 45.5D;
|
final static double fastFoodChance = 45.5D;
|
||||||
|
|
||||||
@BeforeEach
|
@BeforeEach
|
||||||
public void setupMocks() throws NoSuchFieldException, IllegalAccessException {
|
public void setupMocks() {
|
||||||
this.mmoInstance = mock(mcMMO.class);
|
mockBaseEnvironment(logger);
|
||||||
mcMMO.class.getField("p").set(null, mmoInstance);
|
|
||||||
this.advancedConfig = mock(AdvancedConfig.class);
|
|
||||||
when(mmoInstance.getAdvancedConfig()).thenReturn(advancedConfig);
|
|
||||||
when(advancedConfig.getImpactChance()).thenReturn(impactChance);
|
when(advancedConfig.getImpactChance()).thenReturn(impactChance);
|
||||||
when(advancedConfig.getGreaterImpactChance()).thenReturn(greaterImpactChance);
|
when(advancedConfig.getGreaterImpactChance()).thenReturn(greaterImpactChance);
|
||||||
when(advancedConfig.getFastFoodChance()).thenReturn(fastFoodChance);
|
when(advancedConfig.getFastFoodChance()).thenReturn(fastFoodChance);
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@AfterEach
|
||||||
|
public void tearDown() {
|
||||||
|
cleanupBaseEnvironment();
|
||||||
|
}
|
||||||
|
|
||||||
private static Stream<Arguments> staticChanceSkills() {
|
private static Stream<Arguments> staticChanceSkills() {
|
||||||
return Stream.of(
|
return Stream.of(
|
||||||
// static probability, % of time for success
|
// static probability, % of time for success
|
||||||
@ -45,22 +50,26 @@ class ProbabilityUtilTest {
|
|||||||
|
|
||||||
@ParameterizedTest
|
@ParameterizedTest
|
||||||
@MethodSource("staticChanceSkills")
|
@MethodSource("staticChanceSkills")
|
||||||
void testStaticChanceSkills(SubSkillType subSkillType, double expectedWinPercent) throws InvalidStaticChance {
|
void staticChanceSkillsShouldSucceedAsExpected(SubSkillType subSkillType, double expectedWinPercent)
|
||||||
|
throws InvalidStaticChance {
|
||||||
Probability staticRandomChance = ProbabilityUtil.getStaticRandomChance(subSkillType);
|
Probability staticRandomChance = ProbabilityUtil.getStaticRandomChance(subSkillType);
|
||||||
assertProbabilityExpectations(expectedWinPercent, staticRandomChance);
|
assertProbabilityExpectations(expectedWinPercent, staticRandomChance);
|
||||||
}
|
}
|
||||||
|
|
||||||
private static void assertProbabilityExpectations(double expectedWinPercent, Probability probability) {
|
@Test
|
||||||
double iterations = 2.0e7;
|
public void isSkillRNGSuccessfulShouldBehaveAsExpected() {
|
||||||
double winCount = 0;
|
// Given
|
||||||
for (int i = 0; i < iterations; i++) {
|
when(advancedConfig.getMaximumProbability(UNARMED_ARROW_DEFLECT)).thenReturn(20D);
|
||||||
if(probability.evaluate()) {
|
when(advancedConfig.getMaxBonusLevel(UNARMED_ARROW_DEFLECT)).thenReturn(0);
|
||||||
winCount++;
|
|
||||||
}
|
|
||||||
}
|
|
||||||
|
|
||||||
double successPercent = (winCount / iterations) * 100;
|
final Probability probability = ProbabilityUtil.getSkillProbability(UNARMED_ARROW_DEFLECT, player);
|
||||||
System.out.println(successPercent + ", " + expectedWinPercent);
|
assertEquals(0.2D, probability.getValue());
|
||||||
assertEquals(expectedWinPercent, successPercent, 0.05D);
|
assertProbabilityExpectations(20, probability);
|
||||||
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
public void calculateCurrentSkillProbabilityShouldBeTwenty() {
|
||||||
|
final Probability probability = calculateCurrentSkillProbability(1000, 0, 20, 1000);
|
||||||
|
assertEquals(0.2D, probability.getValue());
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
Loading…
Reference in New Issue
Block a user