Package com.plotsquared.core.plot.expiration

Class PlotAnalysis

java.lang.Object

com.plotsquared.core.plot.expiration.PlotAnalysis

public class PlotAnalysis
extends Object

Field Summary

Fields

Modifier and Type	Field	Description
int	air
int	air_sd
int	changes
int	changes_sd
int	data
int	data_sd
int	faces
int	faces_sd
static boolean	running
int	variety
int	variety_sd

Constructor Summary

Constructors

Constructor	Description
PlotAnalysis()

Method Summary

Modifier and Type	Method	Description
static void	analyzePlot(Plot plot, RunnableVal<PlotAnalysis> whenDone)
List<Integer>	asList()
static void	calcOptimalModifiers(Runnable whenDone, double threshold)	This will set the optimal modifiers for the plot analysis based on the current plot ratings - Will be used to calibrate the threshold for plot clearing
static PlotAnalysis	getAnalysis(Plot plot, Settings.Auto_Clear settings)
static double	getCC(int n, int sum)	Get correlation coefficient.
int	getComplexity(Settings.Auto_Clear settings)
static int[]	getSD(int[]... ranks)	An optimized lossy standard deviation algorithm.
static String	log(Object obj)
static void	logln(Object obj)
static int[]	rank(int[] input)	An optimized algorithm for ranking a very specific set of inputs - Input is an array of int with a max size of 102400 - A reduced sample space allows for sorting (and ranking in this case) in linear time
static int[]	rank(int[] input, int size)	An optimized algorithm for ranking a very specific set of inputs
static void	sort(int[] input)
static int[]	square(int[] array)	A simple array squaring algorithm.
static int	sum(int[] array)	Calls Arrays.stream(array).sum()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Details

running

public static boolean running

changes

public int changes

faces

public int faces

data

public int data

air

public int air

variety

public int variety

changes_sd

public int changes_sd

faces_sd

public int faces_sd

data_sd

public int data_sd

air_sd

public int air_sd

variety_sd

public int variety_sd

Constructor Details

PlotAnalysis

public PlotAnalysis()

Method Details

getAnalysis

public static PlotAnalysis getAnalysis(Plot plot,
 Settings.Auto_Clear settings)

analyzePlot

public static void analyzePlot(Plot plot,
 RunnableVal<PlotAnalysis> whenDone)

calcOptimalModifiers

public static void calcOptimalModifiers(Runnable whenDone,
 double threshold)

This will set the optimal modifiers for the plot analysis based on the current plot ratings
- Will be used to calibrate the threshold for plot clearing

Parameters:

whenDone - task to run when done

threshold - threshold

logln

public static void logln(Object obj)

log

public static String log(Object obj)

getCC

public static double getCC(int n,
 int sum)

Get correlation coefficient.

Parameters:

n - n

sum - sum

Returns:

result

sum

public static int sum(int[] array)

Calls Arrays.stream(array).sum()

Parameters:

array - array

Returns:

sum

square

public static int[] square(int[] array)

A simple array squaring algorithm. - Used for calculating the variance

Parameters:

array - array

Returns:

result

getSD

public static int[] getSD(int[]... ranks)

An optimized lossy standard deviation algorithm.

Parameters:

ranks - ranks

Returns:

result

rank

public static int[] rank(int[] input)

An optimized algorithm for ranking a very specific set of inputs
- Input is an array of int with a max size of 102400
- A reduced sample space allows for sorting (and ranking in this case) in linear time

Parameters:

input - input

Returns:

result

rank

public static int[] rank(int[] input,
 int size)

An optimized algorithm for ranking a very specific set of inputs

Parameters:

input - input

size - size

Returns:

result

sort

public static void sort(int[] input)

asList

public List<Integer> asList()

getComplexity

public int getComplexity(Settings.Auto_Clear settings)