net.ontopia.topicmaps.viz

Class PerformanceStat

java.lang.Object

net.ontopia.topicmaps.viz.PerformanceStat

public class PerformanceStat
extends Object

Field Summary

Fields

Modifier and Type	Field and Description
protected long	count
protected String	id
protected long	initTime
protected long	max
protected long	min
protected boolean	showIndividuals
protected long	startTime
protected long	sum
protected long	sumOfSquares

Constructor Summary

Constructors

Constructor and Description
PerformanceStat(String id)

Method Summary

Modifier and Type	Method and Description
void	init()
void	report()
void	setShowIndividuals(boolean showIndividuals)
static double	standardDev(long sum, long sumOfSquares, long count) Given the sum of the values, the sum of the squares of the values and the number of values in a collection numbers, calculates the standard deviation
void	startOp()
void	stopOp()

Methods inherited from class java.lang.Object

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

Field Detail

sum

protected long sum

sumOfSquares

protected long sumOfSquares

count

protected long count

min

protected long min

max

protected long max

initTime

protected long initTime

startTime

protected long startTime

id

protected String id

showIndividuals

protected boolean showIndividuals

Constructor Detail

PerformanceStat

public PerformanceStat(String id)

Method Detail

init

public void init()

setShowIndividuals

public void setShowIndividuals(boolean showIndividuals)

startOp

public void startOp()

stopOp

public void stopOp()

report

public void report()

standardDev

public static double standardDev(long sum,
                                 long sumOfSquares,
                                 long count)

Given the sum of the values, the sum of the squares of the values and the number of values in a collection numbers, calculates the standard deviation

Parameters:

sum - The sum of the values.

sumOfSquares - The sum of the squares of the values.

count - The number of values.

Returns:

The standard deviation of the values.