poco/Foundation/src/Random.cpp
2008-01-28 17:23:19 +00:00

380 lines
13 KiB
C++

//
// Random.cpp
//
// $Id: //poco/svn/Foundation/src/Random.cpp#2 $
//
// Library: Foundation
// Package: Crypt
// Module: Random
//
// Definition of class Random.
//
// Copyright (c) 2004-2006, Applied Informatics Software Engineering GmbH.
// and Contributors.
//
// Permission is hereby granted, free of charge, to any person or organization
// obtaining a copy of the software and accompanying documentation covered by
// this license (the "Software") to use, reproduce, display, distribute,
// execute, and transmit the Software, and to prepare derivative works of the
// Software, and to permit third-parties to whom the Software is furnished to
// do so, all subject to the following:
//
// The copyright notices in the Software and this entire statement, including
// the above license grant, this restriction and the following disclaimer,
// must be included in all copies of the Software, in whole or in part, and
// all derivative works of the Software, unless such copies or derivative
// works are solely in the form of machine-executable object code generated by
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//
// THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
// IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
// FITNESS FOR A PARTICULAR PURPOSE, TITLE AND NON-INFRINGEMENT. IN NO EVENT
// SHALL THE COPYRIGHT HOLDERS OR ANYONE DISTRIBUTING THE SOFTWARE BE LIABLE
// FOR ANY DAMAGES OR OTHER LIABILITY, WHETHER IN CONTRACT, TORT OR OTHERWISE,
// ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
// DEALINGS IN THE SOFTWARE.
//
//
// Based on the FreeBSD random number generator.
// src/lib/libc/stdlib/random.c,v 1.25
//
// Copyright (c) 1983, 1993
// The Regents of the University of California. All rights reserved.
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
// 1. Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// 2. Redistributions in binary form must reproduce the above copyright
// notice, this list of conditions and the following disclaimer in the
// documentation and/or other materials provided with the distribution.
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// without specific prior written permission.
//
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// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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// DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
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//
#include "Poco/Random.h"
#include "Poco/RandomStream.h"
#include <ctime>
/*
* random.c:
*
* An improved random number generation package. In addition to the standard
* rand()/srand() like interface, this package also has a special state info
* interface. The initstate() routine is called with a seed, an array of
* bytes, and a count of how many bytes are being passed in; this array is
* then initialized to contain information for random number generation with
* that much state information. Good sizes for the amount of state
* information are 32, 64, 128, and 256 bytes. The state can be switched by
* calling the setstate() routine with the same array as was initiallized
* with initstate(). By default, the package runs with 128 bytes of state
* information and generates far better random numbers than a linear
* congruential generator. If the amount of state information is less than
* 32 bytes, a simple linear congruential R.N.G. is used.
*
* Internally, the state information is treated as an array of uint32_t's; the
* zeroeth element of the array is the type of R.N.G. being used (small
* integer); the remainder of the array is the state information for the
* R.N.G. Thus, 32 bytes of state information will give 7 ints worth of
* state information, which will allow a degree seven polynomial. (Note:
* the zeroeth word of state information also has some other information
* stored in it -- see setstate() for details).
*
* The random number generation technique is a linear feedback shift register
* approach, employing trinomials (since there are fewer terms to sum up that
* way). In this approach, the least significant bit of all the numbers in
* the state table will act as a linear feedback shift register, and will
* have period 2^deg - 1 (where deg is the degree of the polynomial being
* used, assuming that the polynomial is irreducible and primitive). The
* higher order bits will have longer periods, since their values are also
* influenced by pseudo-random carries out of the lower bits. The total
* period of the generator is approximately deg*(2**deg - 1); thus doubling
* the amount of state information has a vast influence on the period of the
* generator. Note: the deg*(2**deg - 1) is an approximation only good for
* large deg, when the period of the shift is the dominant factor.
* With deg equal to seven, the period is actually much longer than the
* 7*(2**7 - 1) predicted by this formula.
*
* Modified 28 December 1994 by Jacob S. Rosenberg.
* The following changes have been made:
* All references to the type u_int have been changed to unsigned long.
* All references to type int have been changed to type long. Other
* cleanups have been made as well. A warning for both initstate and
* setstate has been inserted to the effect that on Sparc platforms
* the 'arg_state' variable must be forced to begin on word boundaries.
* This can be easily done by casting a long integer array to char *.
* The overall logic has been left STRICTLY alone. This software was
* tested on both a VAX and Sun SpacsStation with exactly the same
* results. The new version and the original give IDENTICAL results.
* The new version is somewhat faster than the original. As the
* documentation says: "By default, the package runs with 128 bytes of
* state information and generates far better random numbers than a linear
* congruential generator. If the amount of state information is less than
* 32 bytes, a simple linear congruential R.N.G. is used." For a buffer of
* 128 bytes, this new version runs about 19 percent faster and for a 16
* byte buffer it is about 5 percent faster.
*/
/*
* For each of the currently supported random number generators, we have a
* break value on the amount of state information (you need at least this
* many bytes of state info to support this random number generator), a degree
* for the polynomial (actually a trinomial) that the R.N.G. is based on, and
* the separation between the two lower order coefficients of the trinomial.
*/
#define TYPE_0 0 /* linear congruential */
#define BREAK_0 8
#define DEG_0 0
#define SEP_0 0
#define TYPE_1 1 /* x**7 + x**3 + 1 */
#define BREAK_1 32
#define DEG_1 7
#define SEP_1 3
#define TYPE_2 2 /* x**15 + x + 1 */
#define BREAK_2 64
#define DEG_2 15
#define SEP_2 1
#define TYPE_3 3 /* x**31 + x**3 + 1 */
#define BREAK_3 128
#define DEG_3 31
#define SEP_3 3
#define TYPE_4 4 /* x**63 + x + 1 */
#define BREAK_4 256
#define DEG_4 63
#define SEP_4 1
namespace Poco {
Random::Random(int stateSize)
{
poco_assert (BREAK_0 <= stateSize && stateSize <= BREAK_4);
_pBuffer = new char[stateSize];
initState((UInt32) std::time(NULL), _pBuffer, stateSize);
}
Random::~Random()
{
delete [] _pBuffer;
}
/*
* Compute x = (7^5 * x) mod (2^31 - 1)
* wihout overflowing 31 bits:
* (2^31 - 1) = 127773 * (7^5) + 2836
* From "Random number generators: good ones are hard to find",
* Park and Miller, Communications of the ACM, vol. 31, no. 10,
* October 1988, p. 1195.
*/
inline UInt32 Random::goodRand(Int32 x)
{
Int32 hi, lo;
if (x == 0) x = 123459876;
hi = x / 127773;
lo = x % 127773;
x = 16807 * lo - 2836 * hi;
if (x < 0) x += 0x7FFFFFFF;
return x;
}
/*
* Initialize the random number generator based on the given seed. If the
* type is the trivial no-state-information type, just remember the seed.
* Otherwise, initializes state[] based on the given "seed" via a linear
* congruential generator. Then, the pointers are set to known locations
* that are exactly rand_sep places apart. Lastly, it cycles the state
* information a given number of times to get rid of any initial dependencies
* introduced by the L.C.R.N.G. Note that the initialization of randtbl[]
* for default usage relies on values produced by this routine.
*/
void Random::seed(UInt32 x)
{
int i, lim;
_state[0] = x;
if (_randType == TYPE_0)
lim = NSHUFF;
else
{
for (i = 1; i < _randDeg; i++)
_state[i] = goodRand(_state[i - 1]);
_fptr = &_state[_randSep];
_rptr = &_state[0];
lim = 10 * _randDeg;
}
for (i = 0; i < lim; i++)
next();
}
/*
* Many programs choose the seed value in a totally predictable manner.
* This often causes problems. We seed the generator using the much more
* secure random(4) interface. Note that this particular seeding
* procedure can generate states which are impossible to reproduce by
* calling srandom() with any value, since the succeeding terms in the
* state buffer are no longer derived from the LC algorithm applied to
* a fixed seed.
*/
void Random::seed()
{
std::streamsize len;
if (_randType == TYPE_0)
len = sizeof _state[0];
else
len = _randDeg * sizeof _state[0];
RandomInputStream rstr;
rstr.read((char*) _state, len);
}
/*
* Initialize the state information in the given array of n bytes for future
* random number generation. Based on the number of bytes we are given, and
* the break values for the different R.N.G.'s, we choose the best (largest)
* one we can and set things up for it. srandom() is then called to
* initialize the state information.
*
* Note that on return from srandom(), we set state[-1] to be the type
* multiplexed with the current value of the rear pointer; this is so
* successive calls to initstate() won't lose this information and will be
* able to restart with setstate().
*
* Note: the first thing we do is save the current state, if any, just like
* setstate() so that it doesn't matter when initstate is called.
*
* Returns a pointer to the old state.
*
* Note: The Sparc platform requires that arg_state begin on an int
* word boundary; otherwise a bus error will occur. Even so, lint will
* complain about mis-alignment, but you should disregard these messages.
*/
void Random::initState(UInt32 s, char* argState, Int32 n)
{
UInt32* intArgState = (UInt32*) argState;
if (n < BREAK_0)
{
poco_bugcheck_msg("not enough state");
return;
}
if (n < BREAK_1)
{
_randType = TYPE_0;
_randDeg = DEG_0;
_randSep = SEP_0;
}
else if (n < BREAK_2)
{
_randType = TYPE_1;
_randDeg = DEG_1;
_randSep = SEP_1;
}
else if (n < BREAK_3)
{
_randType = TYPE_2;
_randDeg = DEG_2;
_randSep = SEP_2;
}
else if (n < BREAK_4)
{
_randType = TYPE_3;
_randDeg = DEG_3;
_randSep = SEP_3;
}
else
{
_randType = TYPE_4;
_randDeg = DEG_4;
_randSep = SEP_4;
}
_state = intArgState + 1; /* first location */
_endPtr = &_state[_randDeg]; /* must set end_ptr before seed */
seed(s);
if (_randType == TYPE_0)
intArgState[0] = _randType;
else
intArgState[0] = MAX_TYPES * (int) (_rptr - _state) + _randType;
}
/*
* Next:
*
* If we are using the trivial TYPE_0 R.N.G., just do the old linear
* congruential bit. Otherwise, we do our fancy trinomial stuff, which is
* the same in all the other cases due to all the global variables that have
* been set up. The basic operation is to add the number at the rear pointer
* into the one at the front pointer. Then both pointers are advanced to
* the next location cyclically in the table. The value returned is the sum
* generated, reduced to 31 bits by throwing away the "least random" low bit.
*
* Note: the code takes advantage of the fact that both the front and
* rear pointers can't wrap on the same call by not testing the rear
* pointer if the front one has wrapped.
*
* Returns a 31-bit random number.
*/
UInt32 Random::next()
{
UInt32 i;
UInt32 *f, *r;
if (_randType == TYPE_0)
{
i = _state[0];
_state[0] = i = goodRand(i) & 0x7FFFFFFF;
}
else
{
/*
* Use local variables rather than static variables for speed.
*/
f = _fptr; r = _rptr;
*f += *r;
i = (*f >> 1) & 0x7FFFFFFF; /* chucking least random bit */
if (++f >= _endPtr) {
f = _state;
++r;
}
else if (++r >= _endPtr) {
r = _state;
}
_fptr = f; _rptr = r;
}
return i;
}
} // namespace Poco