--- a/kerneltest/e32utils/nistsecurerng/src/universal.cpp Wed Sep 15 13:42:27 2010 +0300
+++ /dev/null Thu Jan 01 00:00:00 1970 +0000
@@ -1,125 +0,0 @@
-/*
-* 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);
-}