EpicKnarvik97/PlotSquared
EpicKnarvik97/PlotSquared
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More plot analysis

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This commit is contained in:
boy0001 2015-07-18 02:50:32 +10:00
parent cebc5c1df3
commit 30b5d89dde
10 changed files with 510 additions and 70 deletions
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7
pom.xml
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@ -8,7 +8,7 @@
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>
<artifactId>PlotSquared</artifactId>
<version>2.12.9</version>
<version>2.12.11</version>
<name>PlotSquared</name>
<packaging>jar</packaging>
<build>
@ -104,6 +104,11 @@
<artifactId>BarAPI</artifactId>
<version>2.0</version>
</dependency>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-math3</artifactId>
<version>3.2</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>

37
src/main/java/com/intellectualcrafters/plot/PS.java
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@ -55,6 +55,7 @@ import com.intellectualcrafters.plot.generator.SquarePlotManager;
import com.intellectualcrafters.plot.generator.SquarePlotWorld;
import com.intellectualcrafters.plot.listeners.APlotListener;
import com.intellectualcrafters.plot.object.Plot;
import com.intellectualcrafters.plot.object.PlotAnalysis;
import com.intellectualcrafters.plot.object.PlotBlock;
import com.intellectualcrafters.plot.object.PlotCluster;
import com.intellectualcrafters.plot.object.PlotGenerator;
@ -1230,13 +1231,22 @@ public class PS {
options.put("mob_pathfinding", Settings.MOB_PATHFINDING_DEFAULT);
// Clearing + Expiry
options.put("clear.fastmode", Settings.ENABLE_CLUSTERS);
options.put("clear.on.ban", false);
options.put("clear.auto.enabled", false);
options.put("clear.auto.days", 365);
options.put("clear.check-disk", Settings.AUTO_CLEAR_CHECK_DISK);
options.put("clear.on.ban", false);
options.put("clear.fastmode", Settings.ENABLE_CLUSTERS);
options.put("clear.auto.clear-interval-seconds", Settings.CLEAR_INTERVAL);
options.put("clear.keep-if-modified", Settings.MIN_BLOCKS_CHANGED);
options.put("clear.auto.calibration.changes", 64);
options.put("clear.auto.calibration.faces", 32);
options.put("clear.auto.calibration.data", 1);
options.put("clear.auto.calibration.air", 32);
options.put("clear.auto.calibration.variety", 1);
options.put("clear.auto.calibration.changes_sd", 64);
options.put("clear.auto.calibration.faces_sd", 32);
options.put("clear.auto.calibration.data_sd", 1);
options.put("clear.auto.calibration.air_sd", 32);
options.put("clear.auto.calibration.variety_sd", 1);
options.put("clear.auto.threshold-percent", Settings.CLEAR_THRESHOLD);
options.put("clear.ignore-if-modified", Settings.MIN_BLOCKS_CHANGED_IGNORED);
// Schematics
@ -1319,13 +1329,24 @@ public class PS {
// Clearing + Expiry
Settings.FAST_CLEAR = config.getBoolean("clear.fastmode");
Settings.AUTO_CLEAR_DAYS = config.getInt("clear.auto.days");
Settings.AUTO_CLEAR_CHECK_DISK = config.getBoolean("clear.check-disk");
Settings.DELETE_PLOTS_ON_BAN = config.getBoolean("clear.on.ban");
Settings.MIN_BLOCKS_CHANGED_IGNORED = config.getInt("clear.ignore-if-modified");
Settings.AUTO_CLEAR_DAYS = config.getInt("clear.auto.days");
Settings.CLEAR_THRESHOLD = config.getInt("clear.auto.threshold-percent");
Settings.AUTO_CLEAR = config.getBoolean("clear.auto.enabled");
Settings.CLEAR_INTERVAL = config.getInt("clear.auto.clear-interval-seconds");
Settings.MIN_BLOCKS_CHANGED = config.getInt("clear.keep-if-modified");
Settings.MIN_BLOCKS_CHANGED_IGNORED = config.getInt("clear.ignore-if-modified");
// Clearing modifiers
PlotAnalysis.MODIFIERS.changes = config.getInt("clear.auto.calibration.changes");
PlotAnalysis.MODIFIERS.faces = config.getInt("clear.auto.calibration.faces");
PlotAnalysis.MODIFIERS.data = config.getInt("clear.auto.calibration.data");
PlotAnalysis.MODIFIERS.air = config.getInt("clear.auto.calibration.air");
PlotAnalysis.MODIFIERS.variety = config.getInt("clear.auto.calibration.variety");
PlotAnalysis.MODIFIERS.changes_sd = config.getInt("clear.auto.calibration.changes_sd");
PlotAnalysis.MODIFIERS.faces_sd = config.getInt("clear.auto.calibration.faces_sd");
PlotAnalysis.MODIFIERS.data_sd = config.getInt("clear.auto.calibration.data_sd");
PlotAnalysis.MODIFIERS.air_sd = config.getInt("clear.auto.calibration.air_sd");
PlotAnalysis.MODIFIERS.variety_sd = config.getInt("clear.auto.calibration.variety_sd");
// Schematics
Settings.SCHEMATIC_SAVE_PATH = config.getString("schematics.save_path");

13
src/main/java/com/intellectualcrafters/plot/commands/DebugExec.java
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@ -63,18 +63,11 @@ public class DebugExec extends SubCommand {
final String arg = args[0].toLowerCase();
switch (arg) {
case "analyze": {
final Plot plot = MainUtil.getPlot(player.getLocation());
HybridUtils.manager.analyzePlot(plot, new RunnableVal<PlotAnalysis>() {
PlotAnalysis.calcOptimalModifiers(new Runnable() {
@Override
public void run() {
List<Double> result = new ArrayList<>();
result.add(Math.round(value.changes * 100) / 100d);
result.add(Math.round(value.faces * 100) / 100d);
result.add(Math.round(value.data * 100) / 100d);
result.add(Math.round(value.air * 100) / 100d);
result.add(Math.round(value.variety * 100) / 100d);
Flag flag = new Flag(FlagManager.getFlag("analysis"), result);
FlagManager.addPlotFlag(plot, flag);
PS.log("&cTHIS FUNCTION IS A WORK IN PROGRESS");
PS.log("&c - ");
}
});
return true;

2
src/main/java/com/intellectualcrafters/plot/commands/Rate.java
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@ -78,7 +78,7 @@ public class Rate extends SubCommand {
});
UUID uuid = player.getUUID();
for (Plot p : plots) {
if (p.settings.ratings == null || !p.settings.ratings.containsKey(uuid)) {
if ((p.settings.ratings == null || !p.settings.ratings.containsKey(uuid)) && !p.isAdded(uuid)) {
MainUtil.teleportPlayer(player, player.getLocation(), p);
MainUtil.sendMessage(player, C.RATE_THIS);
return true;

11
src/main/java/com/intellectualcrafters/plot/commands/list.java
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@ -104,17 +104,6 @@ public class list extends SubCommand {
}
public void noArgs(PlotPlayer plr) {
// For #395
// if (plr != null) {
// if (EconHandler.manager != null) {
// builder.append(getArgumentList(new String[] { "mine", "shared", "world", "all", "unowned", "unknown", "top", "<player>", "<world>", "forsale",}));
// }
// else {
// builder.append(getArgumentList(new String[] { "mine", "shared", "world", "all", "unowned", "unknown", "top", "<player>", "<world>"}));
// }
// } else {
// builder.append(getArgumentList(new String[] { "world", "all", "unowned", "unknown", "top", "<player>", "<world>"}));
// }
MainUtil.sendMessage(plr, C.SUBCOMMAND_SET_OPTIONS_HEADER.s() + getArgumentList(getArgumentList(plr)));
}

3
src/main/java/com/intellectualcrafters/plot/config/Settings.java
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@ -161,8 +161,7 @@ public class Settings {
* Days until a plot gets cleared
*/
public static int AUTO_CLEAR_DAYS = 360;
public static boolean AUTO_CLEAR_CHECK_DISK = false;
public static int MIN_BLOCKS_CHANGED = -1;
public static int CLEAR_THRESHOLD = 100;
public static int MIN_BLOCKS_CHANGED_IGNORED = -1;
public static int CLEAR_INTERVAL = 120;
/**

43
src/main/java/com/intellectualcrafters/plot/generator/BukkitHybridUtils.java
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@ -22,6 +22,8 @@ import org.bukkit.plugin.Plugin;
import com.intellectualcrafters.plot.BukkitMain;
import com.intellectualcrafters.plot.PS;
import com.intellectualcrafters.plot.config.C;
import com.intellectualcrafters.plot.flag.Flag;
import com.intellectualcrafters.plot.flag.FlagManager;
import com.intellectualcrafters.plot.object.ChunkLoc;
import com.intellectualcrafters.plot.object.Location;
import com.intellectualcrafters.plot.object.Plot;
@ -182,18 +184,35 @@ public class BukkitHybridUtils extends HybridUtils {
// run whenDone
PlotAnalysis analysis = new PlotAnalysis();
analysis.changes = MathMan.getMean(changes);
analysis.faces = MathMan.getMean(faces);
analysis.data = MathMan.getMean(data);
analysis.air = MathMan.getMean(air);
analysis.variety = MathMan.getMean(variety);
analysis.complexity =
+ (analysis.changes + MathMan.getSD(changes, analysis.changes)) * PlotAnalysis.CHANGES_MODIFIER
+ (analysis.faces + MathMan.getSD(changes, analysis.faces)) * PlotAnalysis.FACES_MODIFIER
+ (analysis.data + MathMan.getSD(changes, analysis.data)) * PlotAnalysis.DATA_MODIFIER
+ (analysis.air + MathMan.getSD(changes, analysis.air)) * PlotAnalysis.AIR_MODIFIER
+ (analysis.variety + MathMan.getSD(changes, analysis.variety)) * PlotAnalysis.VARIETY_MODIFIER
;
analysis.changes = (int) (MathMan.getMean(changes) * 100);
analysis.faces = (int) (MathMan.getMean(faces) * 100);
analysis.data = (int) (MathMan.getMean(data) * 100);
analysis.air = (int) (MathMan.getMean(air) * 100);
analysis.variety = (int) (MathMan.getMean(variety) * 100);
analysis.changes_sd = (int) (MathMan.getSD(changes, analysis.changes) * 100);
analysis.faces_sd = (int) (MathMan.getSD(faces, analysis.faces) * 100);
analysis.data_sd = (int) (MathMan.getSD(data, analysis.data) * 100);
analysis.air_sd = (int) (MathMan.getSD(air, analysis.air) * 100);
analysis.variety_sd = (int) (MathMan.getSD(variety, analysis.variety) * 100);
// We'll set the flag later
// List<Integer> result = new ArrayList<>();
// result.add(analysis.changes);
// result.add(analysis.faces);
// result.add(analysis.data);
// result.add(analysis.air);
// result.add(analysis.variety);
//
// result.add(analysis.changes_sd);
// result.add(analysis.faces_sd);
// result.add(analysis.data_sd);
// result.add(analysis.air_sd);
// result.add(analysis.variety_sd);
//
// Flag flag = new Flag(FlagManager.getFlag("analysis"), result);
// FlagManager.addPlotFlag(plot, flag);
whenDone.value = analysis;
whenDone.run();
}

16
src/main/java/com/intellectualcrafters/plot/object/Plot.java
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@ -317,6 +317,19 @@ public class Plot implements Cloneable {
return MainUtil.getPlotHome(this);
}
/**
* Get the average rating of the plot
* @return average rating as double
*/
public double getAverageRating() {
double sum = 0;
Collection<Rating> ratings = getRatings().values();
for (Rating rating : ratings) {
sum += rating.getAverageRating();
}
return sum / ratings.size();
}
/**
* Get the ratings associated with a plot<br>
* - The rating object may contain multiple categories
@ -324,6 +337,9 @@ public class Plot implements Cloneable {
*/
public HashMap<UUID, Rating> getRatings() {
HashMap<UUID, Rating> map = new HashMap<UUID, Rating>();
if (settings.ratings == null) {
return map;
}
for (Entry<UUID, Integer> entry : settings.ratings.entrySet()) {
map.put(entry.getKey(), new Rating(entry.getValue()));
}

438
src/main/java/com/intellectualcrafters/plot/object/PlotAnalysis.java
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@ -1,36 +1,65 @@
package com.intellectualcrafters.plot.object;
import java.lang.reflect.Array;
import java.util.ArrayDeque;
import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import org.apache.commons.lang.mutable.MutableInt;
import com.intellectualcrafters.plot.PS;
import com.intellectualcrafters.plot.flag.Flag;
import com.intellectualcrafters.plot.flag.FlagManager;
import com.intellectualcrafters.plot.generator.BukkitHybridUtils;
import com.intellectualcrafters.plot.util.TaskManager;
public class PlotAnalysis {
public double changes;
public double faces;
public double data;
public double air;
public double variety;
public int changes;
public int faces;
public int data;
public int air;
public int variety;
public int changes_sd;
public int faces_sd;
public int data_sd;
public int air_sd;
public int variety_sd;
public double complexity;
public static double CHANGES_MODIFIER = 32;
public static double FACES_MODIFIER = 32;
public static double DATA_MODIFIER = 32;
public static double AIR_MODIFIER = 32;
public static double VARIETY_MODIFIER = 32;
public static PlotAnalysis MODIFIERS = new PlotAnalysis();
public static PlotAnalysis getAnalysis(Plot plot) {
Flag flag = FlagManager.getPlotFlag(plot, "analysis");
if (flag != null) {
PlotAnalysis analysis = new PlotAnalysis();
List<Double> values = (List<Double>) flag.getValue();
List<Integer> values = (List<Integer>) flag.getValue();
analysis.changes = values.get(0);
analysis.faces = values.get(1);
analysis.data = values.get(3);
analysis.air = values.get(4);
analysis.variety = values.get(5);
analysis.data = values.get(2);
analysis.air = values.get(3);
analysis.variety = values.get(4);
analysis.changes_sd = values.get(5);
analysis.faces_sd = values.get(6);
analysis.data_sd = values.get(7);
analysis.air_sd = values.get(8);
analysis.variety_sd = values.get(9);
analysis.complexity =
+ (analysis.changes) * MODIFIERS.changes
+ (analysis.faces) * MODIFIERS.faces
+ (analysis.data) * MODIFIERS.data
+ (analysis.air) * MODIFIERS.air
+ (analysis.variety) * MODIFIERS.variety
+ (analysis.changes_sd) * MODIFIERS.changes_sd
+ (analysis.faces_sd) * MODIFIERS.faces_sd
+ (analysis.data_sd) * MODIFIERS.data_sd
+ (analysis.air_sd) * MODIFIERS.air_sd
+ (analysis.variety_sd) * MODIFIERS.variety_sd
;
return analysis;
}
return null;
@ -40,17 +69,392 @@ public class PlotAnalysis {
PlotAnalysis analysis = getAnalysis(plot);
if (analysis != null) {
whenDone.value = analysis;
whenDone.run();
if (whenDone != null) whenDone.run();
return;
}
BukkitHybridUtils.manager.analyzePlot(plot, whenDone);
}
public static boolean running = false;
/**
*
* This will set the optimal modifiers for the plot analysis based on the current plot ratings<br>
* - Will be used to calibrate the threshold for plot clearing
* @param whenDone
*/
public static void calcOptimalModifiers(Runnable whenDone) {
public static void calcOptimalModifiers(final Runnable whenDone) {
if (running) {
PS.log("Calibration task already in progress!");
return;
}
running = true;
PS.log(" - Fetching all plots");
final ArrayList<Plot> plots = new ArrayList<>(PS.get().getPlots());
TaskManager.runTaskAsync(new Runnable() {
@Override
public void run() {
Iterator<Plot> iter = plots.iterator();
PS.log(" - $1Reducing " + plots.size() + " plots to those with sufficient data");
while (iter.hasNext()) {
Plot plot = iter.next();
if (plot.settings.ratings == null || plot.settings.ratings.size() == 0) {
iter.remove();
}
}
PS.log(" - | Reduced to " + plots.size() + " plots");
if (plots.size() < 3) {
PS.log("Calibration cancelled due to insufficient comparison data, please try again later");
running = false;
return;
}
PS.log(" - $1Analyzing plot contents (this may take a while)");
final int[] changes = new int[plots.size()];
final int[] faces = new int[plots.size()];
final int[] data = new int[plots.size()];
final int[] air = new int[plots.size()];
final int[] variety = new int[plots.size()];
final int[] changes_sd = new int[plots.size()];
final int[] faces_sd = new int[plots.size()];
final int[] data_sd = new int[plots.size()];
final int[] air_sd = new int[plots.size()];
final int[] variety_sd = new int[plots.size()];
final int[] ratings = new int[plots.size()];
final MutableInt mi = new MutableInt(0);
Thread ratingAnalysis = new Thread(new Runnable() {
@Override
public void run() {
for (;mi.intValue() < plots.size(); mi.increment()) {
int i = mi.intValue();
Plot plot = plots.get(i);
ratings[i] = (int) ((plot.getAverageRating() + plot.settings.ratings.size()) * 100);
PS.log(" | " + plot + " (rating) " + (ratings[i]));
}
}
});
ratingAnalysis.start();
final ArrayDeque<Plot> plotsQueue = new ArrayDeque<>(plots);
Plot queuePlot;
while ((queuePlot = plotsQueue.poll()) != null) {
PS.log(" | " + queuePlot);
final Thread thread = Thread.currentThread();
analyzePlot(queuePlot, new RunnableVal<PlotAnalysis>() {
public void run() {
thread.notify();
}
});
try {
thread.wait();
} catch (InterruptedException e) {
e.printStackTrace();
}
}
PS.log(" - $1Waiting on plot rating thread: " + ((mi.intValue() * 100) / plots.size()) + "%");
try {
ratingAnalysis.join();
} catch (InterruptedException e) {
e.printStackTrace();
}
PS.log(" - $1Processing and grouping single plot analysis for bulk processing");
for (int i = 0; i < plots.size(); i++) {
Plot plot = plots.get(i);
PS.log(" | " + plot);
PlotAnalysis analysis = plot.getComplexity();
changes[i] = analysis.changes;
faces[i] = analysis.faces;
data[i] = analysis.data;
air[i] = analysis.air;
variety[i] = analysis.variety;
changes_sd[i] = analysis.changes_sd;
faces_sd[i] = analysis.faces_sd;
data_sd[i] = analysis.data_sd;
air_sd[i] = analysis.air_sd;
variety_sd[i] = analysis.variety_sd;
}
int[] rank_ratings = rank(ratings);
int n = rank_ratings.length;
PS.log(" - $1Calculating rank correlation: ");
PS.log(" - The analyzed plots which were processed and put into bulk data will be compared and correlated to the ranked plots");
PS.log(" - The calculated correlation constant will be used to calibrate the threshold for auto plot clearing");
int[] rank_changes = rank(changes);
int[] sd_changes = getSD(rank_changes);
int[] variance_changes = square(sd_changes);
int sum_changes = sum(variance_changes);
double factor_changes = getCC(n, sum_changes);
PlotAnalysis.MODIFIERS.changes = (int) (factor_changes * 100);
PS.log(" - | changes " + factor_changes);
int[] rank_faces = rank(faces);
int[] sd_faces = getSD(rank_faces);
int[] variance_faces = square(sd_faces);
int sum_faces = sum(variance_faces);
double factor_faces = getCC(n, sum_faces);
PlotAnalysis.MODIFIERS.faces = (int) (factor_faces * 100);
PS.log(" - | faces " + factor_faces);
int[] rank_data = rank(data);
int[] sd_data = getSD(rank_data);
int[] variance_data = square(sd_data);
int sum_data = sum(variance_data);
double factor_data = getCC(n, sum_data);
PlotAnalysis.MODIFIERS.data = (int) (factor_data * 100);
PS.log(" - | data " + factor_data);
int[] rank_air = rank(air);
int[] sd_air = getSD(rank_air);
int[] variance_air = square(sd_air);
int sum_air = sum(variance_air);
double factor_air = getCC(n, sum_air);
PlotAnalysis.MODIFIERS.air = (int) (factor_air * 100);
PS.log(" - | air " + factor_air);
int[] rank_variety = rank(variety);
int[] sd_variety = getSD(rank_variety);
int[] variance_variety = square(sd_variety);
int sum_variety = sum(variance_variety);
double factor_variety = getCC(n, sum_variety);
PlotAnalysis.MODIFIERS.variety = (int) (factor_variety * 100);
PS.log(" - | variety " + factor_variety);
int[] rank_changes_sd = rank(changes_sd);
int[] sd_changes_sd = getSD(rank_changes_sd);
int[] variance_changes_sd = square(sd_changes_sd);
int sum_changes_sd = sum(variance_changes_sd);
double factor_changes_sd = getCC(n, sum_changes_sd);
PlotAnalysis.MODIFIERS.changes_sd = (int) (factor_changes_sd * 100);
PS.log(" - | changes_sd " + factor_changes_sd);
int[] rank_faces_sd = rank(faces_sd);
int[] sd_faces_sd = getSD(rank_faces_sd);
int[] variance_faces_sd = square(sd_faces_sd);
int sum_faces_sd = sum(variance_faces_sd);
double factor_faces_sd = getCC(n, sum_faces_sd);
PlotAnalysis.MODIFIERS.faces_sd = (int) (factor_faces_sd * 100);
PS.log(" - | faces_sd " + factor_faces_sd);
int[] rank_data_sd = rank(data_sd);
int[] sd_data_sd = getSD(rank_data_sd);
int[] variance_data_sd = square(sd_data_sd);
int sum_data_sd = sum(variance_data_sd);
double factor_data_sd = getCC(n, sum_data_sd);
PlotAnalysis.MODIFIERS.data_sd = (int) (factor_data_sd * 100);
PS.log(" - | data_sd " + factor_data_sd);
int[] rank_air_sd = rank(air_sd);
int[] sd_air_sd = getSD(rank_air_sd);
int[] variance_air_sd = square(sd_air_sd);
int sum_air_sd = sum(variance_air_sd);
double factor_air_sd = getCC(n, sum_air_sd);
PlotAnalysis.MODIFIERS.air_sd = (int) (factor_air_sd * 100);
PS.log(" - | air_sd " + factor_air_sd);
int[] rank_variety_sd = rank(variety_sd);
int[] sd_variety_sd = getSD(rank_variety_sd);
int[] variance_variety_sd = square(sd_variety_sd);
int sum_variety_sd = sum(variance_variety_sd);
double factor_variety_sd = getCC(n, sum_variety_sd);
PlotAnalysis.MODIFIERS.variety_sd = (int) (factor_variety_sd * 100);
PS.log(" - | variety_sd " + factor_variety_sd);
// Save modifiers
PS.log(" $1Done!");
running = false;
whenDone.run();
}
});
// sort plots by popularity
// get the arrays for each modifier
// get the rankings for each modifier
/*
* For each modifier:
* - get the arrays
* - get the rankings
*/
}
public static void logln(Object obj) {
System.out.println(log(obj));
}
public static String log(Object obj) {
String result = "";
if (obj.getClass().isArray()) {
String prefix = "";
for(int i=0; i<Array.getLength(obj); i++){
result += prefix + log(Array.get(obj, i));
prefix = ",";
}
return "( " + result + " )";
}
else if (obj instanceof List<?>) {
String prefix = "";
for (Object element : (List<?>) obj) {
result += prefix + log(element);
prefix = ",";
}
return "[ " + result + " ]";
}
else {
return obj.toString();
}
}
/**
* Get correllation coefficient
* @return
*/
public static double getCC(int n, int sum) {
return 1 - (6 * (double) sum) / (n * (n*n - 1));
}
/**
* Sum of an array
* @param array
* @return
*/
public static int sum(int[] array) {
int sum = 0;
for (int value : array ) {
sum += value;
}
return sum;
}
/**
* A simple array squaring algorithm<br>
* - Used for calculating the variance
* @param array
* @return
*/
public static int[] square(int[] array) {
array = array.clone();
for (int i = 0; i < array.length; i++) {
array[i] *= array[i];
}
return array;
}
/**
* An optimized lossy standard deviation algorithm
* @param ranks
* @return
*/
public static int[] getSD(int[]...ranks) {
if (ranks.length == 0) {
return null;
}
int size = ranks[0].length;
int arrays = ranks.length;
int[] result = new int[size];
for (int j = 0; j < size; j++) {
int sum = 0;
for (int i = 0; i < ranks.length; i++) {
sum += ranks[i][j];
}
int mean = sum / arrays;
int sd = 0;
for (int i = 0; i < ranks.length; i++) {
int value = ranks[i][j];
sd += value < mean ? mean - value : value - mean;
}
result[j] = sd;
}
return result;
}
/**
* An optimized algorithm for ranking a very specific set of inputs<br>
* - Input is an array of int with a max size of 102400
* - This allows for optimizations beyond any standard sorting function
* @param input
* @return
*/
public static int[] rank(final int[] input) {
int[] cache = new int[102400];
int max = 0;
if (input.length < 102400) {
for (int value : input) {
if (value > max) {
max = value;
}
cache[value]++;
}
}
else {
max = cache.length - 1;
for (int value : input) {
cache[value]++;
}
}
int last = 0;
for (int i = max; i >= 0; i--) {
if (cache[i] != 0) {
cache[i] += last;
last = cache[i];
if (last == input.length) {
break;
}
}
}
int[] ranks = new int[input.length];
for (int i = 0; i < input.length; i++) {
int index = input[i];
ranks[i] = cache[index];
cache[index]--;
}
return ranks;
}
public static void sort(int[] input) {
final int SIZE = 10;
List<Integer>[] bucket = new ArrayList[SIZE];
for (int i = 0; i < bucket.length; i++) {
bucket[i] = new ArrayList<Integer>();
}
boolean maxLength = false;
int tmp = -1, placement = 1;
while (!maxLength) {
maxLength = true;
for (Integer i : input) {
tmp = i / placement;
bucket[tmp % SIZE].add(i);
if (maxLength && tmp > 0) {
maxLength = false;
}
}
int a = 0;
for (int b = 0; b < SIZE; b++) {
for (Integer i : bucket[b]) {
input[a++] = i;
}
bucket[b].clear();
}
placement *= SIZE;
}
}
}

6
src/main/resources/plugin.yml
View File

@ -15,12 +15,6 @@ commands:
permission: plots.use
permission-message: "You are lacking the permission node 'plots.use'"
permissions:
plotsquared_user_attributes:
default: false
plotsquared_user_attributes.disabletitles:
default: false
plotsquared_user_attributes.*:
default: false
plots.admin:
children:
plots.*: true