diff -r 95f71bcdcdb7 -r 657f875b013e kerneltest/e32utils/nistsecurerng/src/universal.cpp
--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/kerneltest/e32utils/nistsecurerng/src/universal.cpp	Fri Jun 11 15:02:23 2010 +0300
@@ -0,0 +1,125 @@
+/*
+* Portions Copyright (c) 2009 Nokia Corporation and/or its subsidiary(-ies).
+* All rights reserved.
+* This component and the accompanying materials are made available
+* under the terms of "Eclipse Public License v1.0"
+* which accompanies this distribution, and is available
+* at the URL "http://www.eclipse.org/legal/epl-v10.html".
+*
+* Initial Contributors:
+* Nokia Corporation - initial contribution.
+*
+* Contributors:
+*
+* Description: 
+* The original NIST Statistical Test Suite code is placed in public domain.
+* (http://csrc.nist.gov/groups/ST/toolkit/rng/documentation_software.html) 
+* 
+* This software was developed at the National Institute of Standards and Technology by 
+* employees of the Federal Government in the course of their official duties. Pursuant
+* to title 17 Section 105 of the United States Code this software is not subject to 
+* copyright protection and is in the public domain. The NIST Statistical Test Suite is
+* an experimental system. NIST assumes no responsibility whatsoever for its use by other 
+* parties, and makes no guarantees, expressed or implied, about its quality, reliability, 
+* or any other characteristic. We would appreciate acknowledgment if the software is used.
+*/
+
+#include "openc.h"
+#include "../include/externs.h"
+#include "../include/utilities.h"
+#include "../include/cephes.h"
+
+/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
+                         U N I V E R S A L  T E S T
+ * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */
+
+void
+Universal(int n)
+{
+	int		i, j, p, L, Q, K;
+	double	arg, sqrt2, sigma, phi, sum, p_value, c;
+	long	*T, decRep;
+	double	expected_value[17] = { 0, 0, 0, 0, 0, 0, 5.2177052, 6.1962507, 7.1836656,
+				8.1764248, 9.1723243, 10.170032, 11.168765,
+				12.168070, 13.167693, 14.167488, 15.167379 };
+	double   variance[17] = { 0, 0, 0, 0, 0, 0, 2.954, 3.125, 3.238, 3.311, 3.356, 3.384,
+				3.401, 3.410, 3.416, 3.419, 3.421 };
+	
+	/* * * * * * * * * ** * * * * * * * * * * * * * * * * * * * * * * * * * * * * *
+	 * THE FOLLOWING REDEFINES L, SHOULD THE CONDITION:     n >= 1010*2^L*L       *
+	 * NOT BE MET, FOR THE BLOCK LENGTH L.                                        *
+	 * * * * * * * * * * ** * * * * * * * * * * * * * * * * * * * * * * * * * * * */
+	L = 5;
+	if ( n >= 387840 )     L = 6;
+	if ( n >= 904960 )     L = 7;
+	if ( n >= 2068480 )    L = 8;
+	if ( n >= 4654080 )    L = 9;
+	if ( n >= 10342400 )   L = 10;
+	if ( n >= 22753280 )   L = 11;
+	if ( n >= 49643520 )   L = 12;
+	if ( n >= 107560960 )  L = 13;
+	if ( n >= 231669760 )  L = 14;
+	if ( n >= 496435200 )  L = 15;
+	if ( n >= 1059061760 ) L = 16;
+	
+	Q = 10*(int)pow(2, L);
+	K = (int) (floor(n/L) - (double)Q);	 		    /* BLOCKS TO TEST */
+	
+	p = (int)pow(2, L);
+	if ( (L < 6) || (L > 16) || ((double)Q < 10*pow(2, L)) ||
+		 ((T = (long *)calloc(p, sizeof(long))) == NULL) ) {
+		fprintf(stats[TEST_UNIVERSAL], "\t\tUNIVERSAL STATISTICAL TEST\n");
+		fprintf(stats[TEST_UNIVERSAL], "\t\t---------------------------------------------\n");
+		fprintf(stats[TEST_UNIVERSAL], "\t\tERROR:  L IS OUT OF RANGE.\n");
+		fprintf(stats[TEST_UNIVERSAL], "\t\t-OR- :  Q IS LESS THAN %f.\n", 10*pow(2, L));
+		fprintf(stats[TEST_UNIVERSAL], "\t\t-OR- :  Unable to allocate T.\n");
+		return;
+	}
+	
+	/* COMPUTE THE EXPECTED:  Formula 16, in Marsaglia's Paper */
+	c = 0.7 - 0.8/(double)L + (4 + 32/(double)L)*pow(K, -3/(double)L)/15;
+	sigma = c * sqrt(variance[L]/(double)K);
+	sqrt2 = sqrt(2);
+	sum = 0.0;
+	for ( i=0; i<p; i++ )
+		T[i] = 0;
+	for ( i=1; i<=Q; i++ ) {		/* INITIALIZE TABLE */
+		decRep = 0;
+		for ( j=0; j<L; j++ )
+			decRep += epsilon[(i-1)*L+j] * (long)pow(2, L-1-j);
+		T[decRep] = i;
+	}
+	for ( i=Q+1; i<=Q+K; i++ ) { 	/* PROCESS BLOCKS */
+		decRep = 0;
+		for ( j=0; j<L; j++ )
+			decRep += epsilon[(i-1)*L+j] * (long)pow(2, L-1-j);
+		sum += log(i - T[decRep])/log(2);
+		T[decRep] = i;
+	}
+	phi = (double)(sum/(double)K);
+
+	fprintf(stats[TEST_UNIVERSAL], "\t\tUNIVERSAL STATISTICAL TEST\n");
+	fprintf(stats[TEST_UNIVERSAL], "\t\t--------------------------------------------\n");
+	fprintf(stats[TEST_UNIVERSAL], "\t\tCOMPUTATIONAL INFORMATION:\n");
+	fprintf(stats[TEST_UNIVERSAL], "\t\t--------------------------------------------\n");
+	fprintf(stats[TEST_UNIVERSAL], "\t\t(a) L         = %d\n", L);
+	fprintf(stats[TEST_UNIVERSAL], "\t\t(b) Q         = %d\n", Q);
+	fprintf(stats[TEST_UNIVERSAL], "\t\t(c) K         = %d\n", K);
+	fprintf(stats[TEST_UNIVERSAL], "\t\t(d) sum       = %f\n", sum);
+	fprintf(stats[TEST_UNIVERSAL], "\t\t(e) sigma     = %f\n", sigma);
+	fprintf(stats[TEST_UNIVERSAL], "\t\t(f) variance  = %f\n", variance[L]);
+	fprintf(stats[TEST_UNIVERSAL], "\t\t(g) exp_value = %f\n", expected_value[L]);
+	fprintf(stats[TEST_UNIVERSAL], "\t\t(h) phi       = %f\n", phi);
+	fprintf(stats[TEST_UNIVERSAL], "\t\t(i) WARNING:  %d bits were discarded.\n", n-(Q+K)*L);
+	fprintf(stats[TEST_UNIVERSAL], "\t\t-----------------------------------------\n");
+
+	arg = fabs(phi-expected_value[L])/(sqrt2 * sigma);
+	p_value = erfc(arg);
+	if ( isNegative(p_value) || isGreaterThanOne(p_value) )
+		fprintf(stats[TEST_UNIVERSAL], "\t\tWARNING:  P_VALUE IS OUT OF RANGE\n");
+
+	fprintf(stats[TEST_UNIVERSAL], "%s\t\tp_value = %f\n\n", p_value < ALPHA ? "FAILURE" : "SUCCESS", p_value);    
+	fprintf(results[TEST_UNIVERSAL], "%f\n", p_value);
+	
+	free(T);
+}