org.eclipse.persistence.internal.libraries.antlr.runtime.misc

Class Stats

java.lang.Object

org.eclipse.persistence.internal.libraries.antlr.runtime.misc.Stats

public class Stats
extends java.lang.Object

Stats routines needed by profiler etc... // note that these routines return 0.0 if no values exist in the X[] // which is not "correct", but it is useful so I don't generate NaN // in my output

Field Summary

Fields

Modifier and Type	Field and Description
static java.lang.String	ANTLRWORKS_DIR

Constructor Summary

Constructors

Constructor and Description
Stats()

Method Summary

Modifier and Type	Method and Description
static double	avg(int[] X) Compute the sample mean
static double	avg(java.util.List<java.lang.Integer> X) Compute the sample mean
static java.lang.String	getAbsoluteFileName(java.lang.String filename)
static int	max(int[] X)
static int	max(java.util.List<java.lang.Integer> X)
static int	min(int[] X)
static int	min(java.util.List<java.lang.Integer> X)
static double	stddev(int[] X) Compute the sample (unbiased estimator) standard deviation following: Computing Deviations: Standard Accuracy Tony F.
static int	sum(int[] X)
static void	writeReport(java.lang.String filename, java.lang.String data)

Methods inherited from class java.lang.Object

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

Field Detail

ANTLRWORKS_DIR

public static final java.lang.String ANTLRWORKS_DIR

See Also:

Constant Field Values

Constructor Detail

Stats

public Stats()

Method Detail

stddev

public static double stddev(int[] X)

Compute the sample (unbiased estimator) standard deviation following: Computing Deviations: Standard Accuracy Tony F. Chan and John Gregg Lewis Stanford University Communications of ACM September 1979 of Volume 22 the ACM Number 9 The "two-pass" method from the paper; supposed to have better numerical properties than the textbook summation/sqrt. To me this looks like the textbook method, but I ain't no numerical methods guy.

avg

public static double avg(int[] X)

Compute the sample mean

min

public static int min(int[] X)

max

public static int max(int[] X)

avg

public static double avg(java.util.List<java.lang.Integer> X)

Compute the sample mean

min

public static int min(java.util.List<java.lang.Integer> X)

max

public static int max(java.util.List<java.lang.Integer> X)

sum

public static int sum(int[] X)

writeReport

public static void writeReport(java.lang.String filename,
                               java.lang.String data)
                        throws java.io.IOException

Throws:

java.io.IOException

getAbsoluteFileName

public static java.lang.String getAbsoluteFileName(java.lang.String filename)