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Adding upstream version 1.9.14.

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Signed-off-by: Daniel Baumann <daniel@debian.org>
This commit is contained in:
Daniel Baumann 2025-02-05 13:10:21 +01:00
parent ddf4b25f8f
commit 49fcf7364a
Signed by: daniel
GPG key ID: FBB4F0E80A80222F
88 changed files with 62468 additions and 0 deletions
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/*
Compute probability of measured Chi Square value.
This code was developed by Gary Perlman of the Wang
Institute (full citation below) and has been minimally
modified for use in this program.
*/
#include <math.h>
/*HEADER
Module: z.c
Purpose: compute approximations to normal z distribution probabilities
Programmer: Gary Perlman
Organization: Wang Institute, Tyngsboro, MA 01879
Copyright: none
Tabstops: 4
*/
#define Z_MAX 6.0 /* maximum meaningful z value */
/*FUNCTION poz: probability of normal z value */
/*ALGORITHM
Adapted from a polynomial approximation in:
Ibbetson D, Algorithm 209
Collected Algorithms of the CACM 1963 p. 616
Note:
This routine has six digit accuracy, so it is only useful for absolute
z values < 6. For z values >= to 6.0, poz() returns 0.0.
*/
static double /*VAR returns cumulative probability from -oo to z */
poz(const double z) /*VAR normal z value */
{
double y, x, w;
if (z == 0.0) {
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+0.005353579108) * y -0.002141268741) * y
+0.000535310849) * y +0.999936657524;
}
}
return (z > 0.0 ? ((x + 1.0) * 0.5) : ((1.0 - x) * 0.5));
}
/*
Module: chisq.c
Purpose: compute approximations to chisquare distribution probabilities
Contents: pochisq()
Uses: poz() in z.c (Algorithm 209)
Programmer: Gary Perlman
Organization: Wang Institute, Tyngsboro, MA 01879
Copyright: none
Tabstops: 4
*/
#define LOG_SQRT_PI 0.5723649429247000870717135 /* log (sqrt (pi)) */
#define I_SQRT_PI 0.5641895835477562869480795 /* 1 / sqrt (pi) */
#define BIGX 20.0 /* max value to represent exp (x) */
#define ex(x) (((x) < -BIGX) ? 0.0 : exp(x))
/*FUNCTION pochisq: probability of chi sqaure value */
/*ALGORITHM Compute probability of chi square value.
Adapted from:
Hill, I. D. and Pike, M. C. Algorithm 299
Collected Algorithms for the CACM 1967 p. 243
Updated for rounding errors based on remark in
ACM TOMS June 1985, page 185
*/
double pochisq(
const double ax, /* obtained chi-square value */
const int df /* degrees of freedom */
)
{
double x = ax;
double a, y=0, s;
double e, c, z;
int even; /* true if df is an even number */
if (x <= 0.0 || df < 1) {
return 1.0;
}
a = 0.5 * x;
even = (2 * (df / 2)) == df;
if (df > 1) {
y = ex(-a);
}
s = (even ? y : (2.0 * poz(-sqrt(x))));
if (df > 2) {
x = 0.5 * (df - 1.0);
z = (even ? 1.0 : 0.5);
if (a > BIGX) {
e = (even ? 0.0 : LOG_SQRT_PI);
c = log(a);
while (z <= x) {
e = log(z) + e;
s += ex(c * z - a - e);
z += 1.0;
}
return (s);
} else {
e = (even ? 1.0 : (I_SQRT_PI / sqrt(a)));
c = 0.0;
while (z <= x) {
e = e * (a / z);
c = c + e;
z += 1.0;
}
return (c * y + s);
}
} else {
return s;
}
}

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/*
ENT -- Entropy calculation and analysis of putative
random sequences.
Designed and implemented by John "Random" Walker in May 1985.
Multiple analyses of random sequences added in December 1985.
Bit stream analysis added in September 1997.
Terse mode output, getopt() command line processing,
optional stdin input, and HTML documentation added in
October 1998.
Documentation for the -t (terse output) option added
in July 2006.
Replaced table look-up for chi square to probability
conversion with algorithmic computation in January 2008.
Hacked for haveged test April 2009
For additional information and the latest version,
see http://www.fourmilab.ch/random/
*/
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <ctype.h>
#include <math.h>
#include "getopt.h"
#ifdef _WIN32
#include <fcntl.h>
#include <io.h>
#else
#include <unistd.h>
#endif
#include "iso8859.h"
#include "randtest.h"
#define UPDATE "January 28th, 2008"
#define FALSE 0
#define TRUE 1
#ifdef M_PI
#define PI M_PI
#else
#define PI 3.14159265358979323846
#endif
extern double pochisq(const double ax, const int df);
struct pparams {
double chisqr;
double entropy;
double mean;
double pi;
double seq;
double xtreme;
};
static struct pparams defaults = {
.chisqr = 1, // bounds - should be >1% and <99%
.entropy = 7.5, // minimum - should be close to 8
.mean = 127.0, // minimum - should be close to 127.5
.pi = 0.5, // maximum - error deviation in percent
.seq = 0.8, // minimum - should be close to 1
.xtreme = 0.00001 // maximum - result deviation
};
struct pparams *params = &defaults;
static int check(long totalc, double ent, double chip, double mean, double montepi, double scc)
{
char failures[512];
int offs=0;
double p;
double p0 = params->chisqr;
double p1 = 100-p0;
if (ent<params->entropy) {
sprintf(failures+offs,"entropy:%f<%f ",ent,params->entropy);
offs=strlen(failures);
}
chip *= 100;
if (chip<p0||chip>p1) {
sprintf(failures+offs,"chisqr:%f%% not in %f-%f ",chip,p0,p1);
offs=strlen(failures);
}
if (mean<params->mean) {
sprintf(failures+offs,"mean:%f<%f ",mean,params->mean);
offs=strlen(failures);
}
p = 100*(montepi-PI)/PI;
if (fabs(p)>params->pi) {
sprintf(failures+offs,"pi:%f %f>%f ",montepi,p,params->pi);
offs=strlen(failures);
}
if (scc>params->seq) {
sprintf(failures+offs,"sequence:%f>%f ",scc,params->seq);
offs=strlen(failures);
}
if (offs) {
printf("Check Fail: %s\n",failures);
return -1;
}
printf("Sample looks good!\n");
return 0;
}
/* Who checks the checker? The ent self-test test the various options by collecting the output
* of the various options on a given input in a text and then doing a diff with the expected
* output. IMHO the text comparison is pretty cheezy since doubles are involved. We make the
* same check but do not require equality on the quantities involved
*/
static int checkSelf(long totalc, double ent, double chisq, double mean, double montepi, double scc)
{
double ref[6] = {11619,7.787095,6567.223255,110.000258,3.392562,0.098324};
double tst[6] = {totalc,ent,chisq,mean,montepi,scc};
int i;double f;
for(i=0;i<6;i++) {
f=fabs(tst[i]-ref[i])/ref[i];
if (f > params->xtreme) {
printf("Self-test(%d) failed:%f?",i,f);
return -1;
}
}
printf("Self-test good!\n");
return 0;
}
/* HELP -- Print information on how to call */
static void help(void)
{
printf("entest -- Test the havege RNG.");
printf("\n");
printf("\n Options: -c<min> Chi Square Threshold");
printf("\n -e<min> Min entropy/char");
printf("\n -f<file> File");
printf("\n -m<min> Min arithmetic mean");
printf("\n -p<max> Max error in pi");
printf("\n -s<min> Min serial coeficient");
printf("\n -t Self test");
printf("\n -u Print this message\n");
printf("\n -v Verbose - show the stats");
printf("\nAdapted from the work of John Walker");
printf("\n http://www.fourmilab.ch/\n\n");
}
/* Main program */
int main(int argc, char *argv[])
{
int oc, opt;
long ccount[256]; /* Bins to count occurrences of values */
long totalc = 0; /* Total character count */
double montepi, chip,
scc, ent, mean, chisq;
FILE *fp = stdin;
int fold = FALSE, /* Fold upper to lower */
binary = FALSE, /* Treat input as a bitstream */
stest = FALSE,
verbose = FALSE;
char *filename="";
while ((opt = getopt(argc, argv, "?c:e:f:m:p:s:t:v")) != -1) {
switch (toISOlower(opt)) {
case 'c':
params->chisqr = atof(optarg);
break;
case 'e':
params->entropy = atof(optarg);
break;
case 'f':
filename = optarg;
break;
case 'm':
params->mean = atof(optarg);
break;
case 'p':
params->pi = atof(optarg);
break;
case 's':
params->seq = atof(optarg);
break;
case 't':
filename = optarg;
/* filename = "entitle.gif"; */
stest = TRUE;
break;
case 'v':
verbose = TRUE;
break;
default:
help();
return -1;
}
}
if (!strlen(filename)) {
printf("Need input file\n");
help();
return 2;
}
if ((fp = fopen(filename, "rb")) == NULL) {
printf("Cannot open file %s\n", filename);
return 2;
}
memset(ccount, 0, sizeof ccount);
/* Initialise for calculations */
rt_init(binary);
/* Scan input file and count character occurrences */
while ((oc = fgetc(fp)) != EOF) {
unsigned char ocb;
if (fold && isISOalpha(oc) && isISOupper(oc)) {
oc = toISOlower(oc);
}
ocb = (unsigned char) oc;
totalc += binary ? 8 : 1;
if (binary) {
int b;
unsigned char ob = ocb;
for (b = 0; b < 8; b++) {
ccount[ob & 1]++;
ob >>= 1;
}
} else {
ccount[ocb]++; /* Update counter for this bin */
}
rt_add(&ocb, 1);
}
fclose(fp);
/* Complete calculation and return sequence metrics */
rt_end(&ent, &chisq, &mean, &montepi, &scc);
chip = pochisq(chisq, (binary ? 1 : 255));
if (verbose)
printf("\nTest Results\n"
"Sample: %ld bytes\n"
"Entropy: %f bits\n"
"Chi-Square: %f(%f%%)\n"
"Mean: %f\n"
"PI: %f(%f%%)\n"
"Correlation: %f\n",
totalc, ent, chisq, chip*100, mean, montepi,100*(montepi-PI)/PI,scc);
if (stest)
return checkSelf(totalc, ent, chisq, mean, montepi, scc);
return check(totalc, ent, chip, mean, montepi, scc);
}

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/* ISO 8859/1 Latin-1 alphabetic and upper and lower case bit vector tables. */
/* LINTLIBRARY */
unsigned char isoalpha[32] = {
0,0,0,0,0,0,0,0,127,255,255,224,127,255,255,224,0,0,0,0,0,0,0,0,255,255,
254,255,255,255,254,255
};
unsigned char isoupper[32] = {
0,0,0,0,0,0,0,0,127,255,255,224,0,0,0,0,0,0,0,0,0,0,0,0,255,255,254,254,
0,0,0,0
};
unsigned char isolower[32] = {
0,0,0,0,0,0,0,0,0,0,0,0,127,255,255,224,0,0,0,0,0,0,0,0,0,0,0,1,255,255,
254,255
};

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/* ISO 8859/1 Latin-1 "ctype" macro replacements. */
extern unsigned char isoalpha[32], isoupper[32], isolower[32];
#define isISOspace(x) ((isascii(((unsigned char) (x))) && isspace(((unsigned char) (x)))) || ((x) == 0xA0))
#define isISOalpha(x) ((isoalpha[(((unsigned char) (x))) / 8] & (0x80 >> ((((unsigned char) (x))) % 8))) != 0)
#define isISOupper(x) ((isoupper[(((unsigned char) (x))) / 8] & (0x80 >> ((((unsigned char) (x))) % 8))) != 0)
#define isISOlower(x) ((isolower[(((unsigned char) (x))) / 8] & (0x80 >> ((((unsigned char) (x))) % 8))) != 0)
#define isISOprint(x) ((((x) >= ' ') && ((x) <= '~')) || ((x) >= 0xA0))
#define toISOupper(x) (isISOlower(x) ? (isascii(((unsigned char) (x))) ? \
toupper(x) : (((((unsigned char) (x)) != 0xDF) && \
(((unsigned char) (x)) != 0xFF)) ? \
(((unsigned char) (x)) - 0x20) : (x))) : (x))
#define toISOlower(x) (isISOupper(x) ? (isascii(((unsigned char) (x))) ? \
tolower(x) : (((unsigned char) (x)) + 0x20)) \
: (x))

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/*
Apply various randomness tests to a stream of bytes
by John Walker -- September 1996
http://www.fourmilab.ch/
*/
#include <math.h>
#define FALSE 0
#define TRUE 1
#define log2of10 3.32192809488736234787
static int binary = FALSE; /* Treat input as a bitstream */
static long ccount[256], /* Bins to count occurrences of values */
totalc = 0; /* Total bytes counted */
static double prob[256]; /* Probabilities per bin for entropy */
/* RT_LOG2 -- Calculate log to the base 2 */
static double rt_log2(double x)
{
return log2of10 * log10(x);
}
#define MONTEN 6 /* Bytes used as Monte Carlo
co-ordinates. This should be no more
bits than the mantissa of your
"double" floating point type. */
static int mp, sccfirst;
static unsigned int monte[MONTEN];
static long inmont, mcount;
static double cexp, incirc, montex, montey, montepi,
scc, sccun, sccu0, scclast, scct1, scct2, scct3,
ent, chisq, datasum;
/* RT_INIT -- Initialise random test counters. */
void rt_init(int binmode)
{
int i;
binary = binmode; /* Set binary / byte mode */
/* Initialise for calculations */
ent = 0.0; /* Clear entropy accumulator */
chisq = 0.0; /* Clear Chi-Square */
datasum = 0.0; /* Clear sum of bytes for arithmetic mean */
mp = 0; /* Reset Monte Carlo accumulator pointer */
mcount = 0; /* Clear Monte Carlo tries */
inmont = 0; /* Clear Monte Carlo inside count */
incirc = 65535.0 * 65535.0;/* In-circle distance for Monte Carlo */
sccfirst = TRUE; /* Mark first time for serial correlation */
scct1 = scct2 = scct3 = 0.0; /* Clear serial correlation terms */
incirc = pow(pow(256.0, (double) (MONTEN / 2)) - 1, 2.0);
for (i = 0; i < 256; i++) {
ccount[i] = 0;
}
totalc = 0;
}
/* RT_ADD -- Add one or more bytes to accumulation. */
void rt_add(void *buf, int bufl)
{
unsigned char *bp = buf;
int oc, c, bean;
while (bean = 0, (bufl-- > 0)) {
oc = *bp++;
do {
if (binary) {
c = !!(oc & 0x80);
} else {
c = oc;
}
ccount[c]++; /* Update counter for this bin */
totalc++;
/* Update inside / outside circle counts for Monte Carlo
computation of PI */
if (bean == 0) {
monte[mp++] = oc; /* Save character for Monte Carlo */
if (mp >= MONTEN) { /* Calculate every MONTEN character */
int mj;
mp = 0;
mcount++;
montex = montey = 0;
for (mj = 0; mj < MONTEN / 2; mj++) {
montex = (montex * 256.0) + monte[mj];
montey = (montey * 256.0) + monte[(MONTEN / 2) + mj];
}
if ((montex * montex + montey * montey) <= incirc) {
inmont++;
}
}
}
/* Update calculation of serial correlation coefficient */
sccun = c;
if (sccfirst) {
sccfirst = FALSE;
scclast = 0;
sccu0 = sccun;
} else {
scct1 = scct1 + scclast * sccun;
}
scct2 = scct2 + sccun;
scct3 = scct3 + (sccun * sccun);
scclast = sccun;
oc <<= 1;
} while (binary && (++bean < 8));
}
}
/* RT_END -- Complete calculation and return results. */
void rt_end(double *r_ent, double *r_chisq, double *r_mean,
double *r_montepicalc, double *r_scc)
{
int i;
/* Complete calculation of serial correlation coefficient */
scct1 = scct1 + scclast * sccu0;
scct2 = scct2 * scct2;
scc = totalc * scct3 - scct2;
if (scc == 0.0) {
scc = -100000;
} else {
scc = (totalc * scct1 - scct2) / scc;
}
/* Scan bins and calculate probability for each bin and
Chi-Square distribution. The probability will be reused
in the entropy calculation below. While we're at it,
we sum of all the data which will be used to compute the
mean. */
cexp = totalc / (binary ? 2.0 : 256.0); /* Expected count per bin */
for (i = 0; i < (binary ? 2 : 256); i++) {
double a = ccount[i] - cexp;;
prob[i] = ((double) ccount[i]) / totalc;
chisq += (a * a) / cexp;
datasum += ((double) i) * ccount[i];
}
/* Calculate entropy */
for (i = 0; i < (binary ? 2 : 256); i++) {
if (prob[i] > 0.0) {
ent += prob[i] * rt_log2(1 / prob[i]);
}
}
/* Calculate Monte Carlo value for PI from percentage of hits
within the circle */
montepi = 4.0 * (((double) inmont) / mcount);
/* Return results through arguments */
*r_ent = ent;
*r_chisq = chisq;
*r_mean = datasum / totalc;
*r_montepicalc = montepi;
*r_scc = scc;
}

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/* Random test function prototypes */
extern void rt_init(int binmode);
extern void rt_add(void *buf, int bufl);
extern void rt_end(double *r_ent, double *r_chisq, double *r_mean,
double *r_montepicalc, double *r_scc);