com.fasteasytrade.JRandTest.Tests
Class Base

java.lang.Object
  com.fasteasytrade.JRandTest.Tests.Base

Direct Known Subclasses:

BinaryRankTestFor6x8Matrices, BirthdaySpacings, Count16Bits, Count1Bit, Count2Bits, Count3Bits, Count4Bits, Count8Bits, CountThe1s, MinimumDistance, MonteCarlo, Overlapping20TuplesBitstream, OverlappingPairsSparseOccupancy, Run, Squeeze

public class Base

extends Object

Base class for all test classes.

Contains common methods and handle input/output list of listeners.

Author:

Zur Aougav

Nested Class Summary

class

Base.point

Field Summary

static DecimalFormat	df
int	DIM
double	PI
(package private) RandomStream	rs
long	UNIMAX
(package private) Vector	vecOutputDestinations

Constructor Summary

Base()

Method Summary

double	ABS(double a)
int	ABS(int a)
private double	AD(double z) c.d.f of Anderson-Darling statistic (a quick algorithm) Used by KStest
void	addOutputDestination(OutputDestination od) register output destination in vector of output destinations. printf and puts willwrite data to all destinations.
static double	avg(double[] data)
double	chisq(int df, double x) p.d.f of Chi-square
double	Chisq(int df, double x) c.d.f of Chi-square
static double	chitest(double[] data, double expected)
boolean	closeInputStream() open registered RandomStream.
String	d4(double d) Returns double as string 10.4: zzzzz.dddd.
double	d4d_d(double d)
String	d4d(double d)
double	exp(double a)
double	exp(int a)
double	G(double z) gamma(z) when 2z is a integer
void	help() help method to be implemented by each test class.
boolean	isOpen() checks if input random stream is open.
double	KStest(double[] x, int dim) KStest This test is based on a modified Kolmogorov-Smirnov method.
double	log(double a)
double	MAX(double a, double b)
int	MAX(int a, int b)
double	MIN(double a, double b)
int	MIN(int a, int b)
boolean	openInputStream() open registered RandomStream.
double	phi(double x) p.d.f of Standard Normal
double	Phi(double x) c.d.f of Standard Normal
double[]	Poisson_fit(double lambda, int[] obs, int no_obs) computes the statistic of goodness of fit to a Poisson distribution
double	Poisson(double lambda, int k) p.d.f of Poisson distribution
double	pow(double a, double b)
void	printf(String s) printf on all output destinations registered into vector output destinations.
void	puts(String s) puts - use printf
void	qsort(Base.point[] arr, int dim) Bubble sort array of points (of class point),
void	qsort(double[] arr, int dim) Bubble sort array
void	qsort(int[] arr, int dim) Bubble sort array
static double	r2_double(double[] data)
double	read32BitsAsDouble() read one int from registered input random stream and divide it by (2^32 - 1).
byte	readByte() read one byte from registered input random stream.
int	readInt() read one byte from registered input random stream.
long	readLong() read one long from registered input random stream.
void	registerInput(RandomStream rs) register RandomStream interface.
void	removeOutputDestination(OutputDestination od) unregister output destination from vector of output destinations.
void	showbit(int n) show the bit-pattern of an integer 32 bits
double	SIGN(double a)
int	SIGN(int a)
double	sqrt(double a)
double	sqrt(int a)
static double	stdev(double[] data, double avg) Returns double Standard Deviation
void	test(String filename) test method to be implemented by each test class.
int	uni() Use readInt method.

Methods inherited from class java.lang.Object

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

Field Detail

PI

public final double PI

See Also:

Constant Field Values

DIM

public final int DIM

See Also:

Constant Field Values

UNIMAX

public final long UNIMAX

See Also:

Constant Field Values

df

public static DecimalFormat df

vecOutputDestinations

Vector vecOutputDestinations

rs

RandomStream rs

Constructor Detail

Base

public Base()

Method Detail

MAX

public double MAX(double a,
                  double b)

MAX

public int MAX(int a,
               int b)

MIN

public double MIN(double a,
                  double b)

MIN

public int MIN(int a,
               int b)

ABS

public double ABS(double a)

ABS

public int ABS(int a)

SIGN

public double SIGN(double a)

SIGN

public int SIGN(int a)

pow

public double pow(double a,
                  double b)

sqrt

public double sqrt(double a)

sqrt

public double sqrt(int a)

exp

public double exp(double a)

exp

public double exp(int a)

log

public double log(double a)

qsort

public void qsort(double[] arr,
                  int dim)

Bubble sort array

Parameters:

arr - is a double array

dim - only first dim entries are sorted in array arr. So part of the array can be sorted.

qsort

public void qsort(int[] arr,
                  int dim)

Bubble sort array

Parameters:

arr - is an int array

dim - only first dim entries are sorted in array arr. So part of the array can be sorted.

qsort

public void qsort(Base.point[] arr,
                  int dim)

Bubble sort array of points (of class point),

Parameters:

arr - is a point array

dim - only first dim entries are sorted in array arr. So part of the array can be sorted.

d4d_d

public double d4d_d(double d)

Returns:

double with 4 decimal places (as in C "%.4f")

d4d

public String d4d(double d)

Returns:

double with 4 decimal places (as in C "%.4f")

d4

public String d4(double d)

Returns double as string 10.4: zzzzz.dddd.

Parameters:

d - double number

Returns:

String with 4 decimal places (as in C "%10.4f")

G

public double G(double z)

gamma(z) when 2z is a integer

phi

public double phi(double x)

p.d.f of Standard Normal

Phi

public double Phi(double x)

c.d.f of Standard Normal

chisq

public double chisq(int df,
                    double x)

p.d.f of Chi-square

Chisq

public double Chisq(int df,
                    double x)

c.d.f of Chi-square

Poisson

public double Poisson(double lambda,
                      int k)

p.d.f of Poisson distribution

chitest

public static double chitest(double[] data,
                             double expected)

stdev

public static double stdev(double[] data,
                           double avg)

Returns double Standard Deviation

Parameters:

data - array of doubles

avg - avg of data array

r2_double

public static double r2_double(double[] data)

Poisson_fit

public double[] Poisson_fit(double lambda,
                            int[] obs,
                            int no_obs)

computes the statistic of goodness of fit to a Poisson distribution

Returns:

vector of 3 doubles: (1) degree of freedom, (2) chi_fit (3) piValue used by Birthday Spacings Test from diehard

avg

public static double avg(double[] data)

Parameters:

data - input array of doubles

Returns:

avg of all enties in data array

printf

public void printf(String s)

printf on all output destinations registered into vector output destinations. Support multiple output destinations.

puts

public void puts(String s)

puts - use printf

showbit

public void showbit(int n)

show the bit-pattern of an integer 32 bits

addOutputDestination

public void addOutputDestination(OutputDestination od)

register output destination in vector of output destinations. printf and puts willwrite data to all destinations.

Parameters:

od - register this OutputDestination interface

removeOutputDestination

public void removeOutputDestination(OutputDestination od)

unregister output destination from vector of output destinations.

Parameters:

od - OutputDestination interface to be removed

registerInput

public void registerInput(RandomStream rs)

register RandomStream interface.

Supports only one random stream.

Parameters:

rs - register radom stream interface

isOpen

public boolean isOpen()

checks if input random stream is open.

random stream isOpen method is used to return boolean.

Returns:

true if input random stream is open, else false.

openInputStream

public boolean openInputStream()

open registered RandomStream.

Returns:

boolean as true for success, else false.

closeInputStream

public boolean closeInputStream()

open registered RandomStream.

Returns:

boolean as true for success, else false.

readByte

public byte readByte()

read one byte from registered input random stream.

Returns:

one byte, 8 bits

readInt

public int readInt()

read one byte from registered input random stream.

Returns:

a uniform random number, 32 bits

readLong

public long readLong()

read one long from registered input random stream.

Returns:

a uniform random long number, 64 bits

uni

public int uni()

Use readInt method.

read32BitsAsDouble

public double read32BitsAsDouble()

read one int from registered input random stream and divide it by (2^32 - 1).

Returns:

double number netween 0 and 1.

KStest

public double KStest(double[] x,
                     int dim)

KStest

This test is based on a modified Kolmogorov-Smirnov method.

The test-statistic is (FN(X)-X)**2/(X*(1-X)) (Anderson-Darling) where X is a uniform under null hypothesis. FN(X) is the empirical distribution of X.

AD

private double AD(double z)

c.d.f of Anderson-Darling statistic (a quick algorithm)

Used by KStest

help

public void help()

help method to be implemented by each test class.

test

public void test(String filename)
          throws Exception

test method to be implemented by each test class.

Parameters:

filename - is the filename to be read or the algorithm name.

Throws:

Exception