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* replaced random generator with the Mersenne twister, which is about
3.5 times faster
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@ -37,9 +37,6 @@ const
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STACK_MARGIN = 16384; { Stack size margin for stack checking }
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{ Random / Randomize constants }
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OldRandSeed : Cardinal = 0;
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InitialSeed : Boolean = TRUE;
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Seed2 : Cardinal = 0;
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Seed3 : Cardinal = 0;
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{ For Error Handling.}
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ErrorBase : Pointer = nil;
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@ -282,88 +279,168 @@ end;
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{$i rtti.inc}
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{****************************************************************************
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Random function routines
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This implements a very long cycle random number generator by combining
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three independant generators. The technique was described in the March
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1987 issue of Byte.
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Taken and modified with permission from the PCQ Pascal rtl code.
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****************************************************************************}
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{$R-}
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{$Q-}
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Procedure NewSeed;Forward;
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Function Random : Extended;
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{----------------------------------------------------------------------
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Mersenne Twister: A 623-Dimensionally Equidistributed Uniform
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Pseudo-Random Number Generator.
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What is Mersenne Twister?
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Mersenne Twister(MT) is a pseudorandom number generator developped by
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Makoto Matsumoto and Takuji Nishimura (alphabetical order) during
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1996-1997. MT has the following merits:
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It is designed with consideration on the flaws of various existing
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generators.
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Far longer period and far higher order of equidistribution than any
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other implemented generators. (It is proved that the period is 2^19937-1,
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and 623-dimensional equidistribution property is assured.)
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Fast generation. (Although it depends on the system, it is reported that
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MT is sometimes faster than the standard ANSI-C library in a system
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with pipeline and cache memory.)
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Efficient use of the memory. (The implemented C-code mt19937.c
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consumes only 624 words of working area.)
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home page
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http://www.math.keio.ac.jp/~matumoto/emt.html
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original c source
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http://www.math.keio.ac.jp/~nisimura/random/int/mt19937int.c
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Coded by Takuji Nishimura, considering the suggestions by
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Topher Cooper and Marc Rieffel in July-Aug. 1997.
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Library General Public
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License as published by the Free Software Foundation; either
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version 2 of the License, or (at your option) any later
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version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
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See the GNU Library General Public License for more details.
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You should have received a copy of the GNU Library General
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Public License along with this library; if not, write to the
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Free Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA
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02111-1307 USA
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Copyright (C) 1997, 1999 Makoto Matsumoto and Takuji Nishimura.
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When you use this, send an email to: matumoto@math.keio.ac.jp
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with an appropriate reference to your work.
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REFERENCE
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M. Matsumoto and T. Nishimura,
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"Mersenne Twister: A 623-Dimensionally Equidistributed Uniform
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Pseudo-Random Number Generator",
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ACM Transactions on Modeling and Computer Simulation,
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Vol. 8, No. 1, January 1998, pp 3--30.
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Translated to OP and Delphi interface added by Roman Krejci (6.12.1999)
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http://www.rksolution.cz/delphi/tips.htm
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Revised 21.6.2000: Bug in the function RandInt_MT19937 fixed
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2003/10/26: adapted to use the improved intialisation mentioned at
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<http://www.math.keio.ac.jp/~matumoto/MT2002/emt19937ar.html> and
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removed the assembler code
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----------------------------------------------------------------------}
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{$R-} {range checking off}
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{$Q-} {overflow checking off}
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{ Period parameter }
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Const
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MT19937N=624;
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Type
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tMT19937StateArray = array [0..MT19937N-1] of longint; // the array for the state vector
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{ Period parameters }
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const
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MT19937M=397;
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MT19937MATRIX_A =$9908b0df; // constant vector a
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MT19937UPPER_MASK=$80000000; // most significant w-r bits
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MT19937LOWER_MASK=$7fffffff; // least significant r bits
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{ Tempering parameters }
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TEMPERING_MASK_B=$9d2c5680;
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TEMPERING_MASK_C=$efc60000;
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VAR
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mt : tMT19937StateArray;
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mti: longint=MT19937N+1; // mti=MT19937N+1 means mt[] is not initialized
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{ Initializing the array with a seed }
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procedure sgenrand_MT19937(seed: longint);
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var
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i: longint;
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begin
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if (InitialSeed) OR (RandSeed <> OldRandSeed) then
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Begin
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{ This is a pretty complicated affair }
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{ Initially we must call NewSeed when RandSeed is initalized }
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{ We must also call NewSeed each time RandSeed is reinitialized }
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{ DO NOT CHANGE THE ORDER OF DECLARATIONS IN THIS BLOCK }
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{ UNLESS YOU WANT RANDON TO CRASH OF COURSE (CEC) }
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InitialSeed:=FALSE;
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OldRandSeed:=RandSeed;
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NewSeed;
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mt[0] := seed;
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for i := 1 to MT19937N-1 do
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begin
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mt[i] := 1812433253 * (mt[i-1] xor (mt[i-1] shr 30)) + i;
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{ See Knuth TAOCP Vol2. 3rd Ed. P.106 for multiplier. }
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{ In the previous versions, MSBs of the seed affect }
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{ only MSBs of the array mt[]. }
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{ 2002/01/09 modified by Makoto Matsumoto }
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end;
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Inc(RandSeed);
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RandSeed := (RandSeed * 706) mod 500009;
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OldRandSeed:=RandSeed;
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INC(Seed2);
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Seed2 := (Seed2 * 774) MOD 600011;
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INC(Seed3);
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Seed3 := (Seed3 * 871) MOD 765241;
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Random :=
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frac(RandSeed/500009.0 +
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Seed2/600011.0 +
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Seed3/765241.0);
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mti := MT19937N;
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end;
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Function internRandom(l : Cardinal) : Cardinal;
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function genrand_MT19937: longint;
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const
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mag01 : array [0..1] of longint =(0, MT19937MATRIX_A);
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var
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y: longint;
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kk: longint;
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begin
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if (InitialSeed) OR (RandSeed <> OldRandSeed) then
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Begin
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{ This is a pretty complicated affair }
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{ Initially we must call NewSeed when RandSeed is initalized }
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{ We must also call NewSeed each time RandSeed is reinitialized }
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{ DO NOT CHANGE THE ORDER OF DECLARATIONS IN THIS BLOCK }
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{ UNLESS YOU WANT RANDOM TO CRASH OF COURSE (CEC) }
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InitialSeed:=FALSE;
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OldRandSeed:=RandSeed;
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NewSeed;
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end;
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Inc(RandSeed);
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RandSeed := (RandSeed * 998) mod 1000003;
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OldRandSeed:=RandSeed;
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if l<>0 then
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begin
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internRandom := RandSeed mod l;
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end
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else internRandom:=0;
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if (mti >= MT19937N) or
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(randseed <> oldrandseed) { generate MT19937N longints at one time }
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then begin
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if mti = (MT19937N+1) then // if sgenrand_MT19937() has not been called,
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begin
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sgenrand_MT19937(randseed); // default initial seed is used
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oldrandseed := randseed;
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end;
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for kk:=0 to MT19937N-MT19937M-1 do begin
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y := (mt[kk] and MT19937UPPER_MASK) or (mt[kk+1] and MT19937LOWER_MASK);
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mt[kk] := mt[kk+MT19937M] xor (y shr 1) xor mag01[y and $00000001];
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end;
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for kk:= MT19937N-MT19937M to MT19937N-2 do begin
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y := (mt[kk] and MT19937UPPER_MASK) or (mt[kk+1] and MT19937LOWER_MASK);
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mt[kk] := mt[kk+(MT19937M-MT19937N)] xor (y shr 1) xor mag01[y and $00000001];
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end;
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y := (mt[MT19937N-1] and MT19937UPPER_MASK) or (mt[0] and MT19937LOWER_MASK);
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mt[MT19937N-1] := mt[MT19937M-1] xor (y shr 1) xor mag01[y and $00000001];
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mti := 0;
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end;
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y := mt[mti]; inc(mti);
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y := y xor (y shr 11);
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y := y xor (y shl 7) and TEMPERING_MASK_B;
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y := y xor (y shl 15) and TEMPERING_MASK_C;
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y := y xor (y shr 18);
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Result := y;
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end;
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function random(l:cardinal): cardinal;
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begin
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random := trunc(random()*l);
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random := cardinal((int64(cardinal(genrand_MT19937))*l) shr 32);
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end;
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function random(l:longint): longint;
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begin
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random := trunc(random()*l);
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random := longint((int64(cardinal(genrand_MT19937))*l) shr 32);
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end;
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Procedure NewSeed;
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function random: extended;
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begin
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randseed := randseed mod 1000003;
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Seed2 := (internRandom(65000) * internRandom(65000)) mod 600011;
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Seed3 := (internRandom(65000) * internRandom(65000)) mod 765241;
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random := cardinal(genrand_MT19937) * (1.0/(int64(1) shl 32));
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end;
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{****************************************************************************
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Memory Management
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****************************************************************************}
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@ -768,7 +845,11 @@ end;
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{
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$Log$
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Revision 1.43 2003-09-14 11:34:13 peter
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Revision 1.44 2003-10-26 18:46:02 jonas
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* replaced random generator with the Mersenne twister, which is about
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3.5 times faster
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Revision 1.43 2003/09/14 11:34:13 peter
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* moved int64 asm code to int64p.inc
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* save ebx,esi
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