random.cpp

来自「C++ class libraries for network-centric,」· C++ 代码 · 共 383 行

CPP
383
字号
//// Random.cpp//// $Id: //poco/1.2/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// a source language processor.// // 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 1.13 2000/01/27 23:06:49 jasone Exp//// 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.// 3. All advertising materials mentioning features or use of this software//    must display the following acknowledgement://    This product includes software developed by the University of//    California, Berkeley and its contributors.// 4. Neither the name of the University nor the names of its contributors//    may be used to endorse or promote products derived from this software//    without specific prior written permission.//// THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE// ARE DISCLAIMED.  IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE// FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL// DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS// OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)// HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT// LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY// OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF// SUCH DAMAGE.//#include "Poco/Random.h"#include "Poco/RandomStream.h"#include "time.h"/* * 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 longs; 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 longs 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 register 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		1namespace Poco {Random::Random(int stateSize){	poco_assert (BREAK_0 <= stateSize && stateSize <= BREAK_4);	_pBuffer = new char[stateSize];	initState((UInt32) 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. * * 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

⌨️ 快捷键说明

复制代码Ctrl + C
搜索代码Ctrl + F
全屏模式F11
增大字号Ctrl + =
减小字号Ctrl + -
显示快捷键?