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Faster and better licensed implementation
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@@ -17,7 +17,10 @@
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| Pedro Melo <melo@ip.pt> |
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| Sterling Hughes <sterling@php.net> |
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| |
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| Based on code from: Shawn Cokus <Cokus@math.washington.edu> |
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| Based on code from: Richard J. Wagner <rjwagner@writeme.com> |
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| Makoto Matsumoto <matumoto@math.keio.ac.jp> |
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| Takuji Nishimura |
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| Shawn Cokus <Cokus@math.washington.edu> |
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+----------------------------------------------------------------------+
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*/
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/* $Id$ */
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@@ -85,152 +88,127 @@ PHPAPI long php_rand(TSRMLS_D)
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/* MT RAND FUNCTIONS */
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/*
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This is the ``Mersenne Twister'' random number generator MT19937, which
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generates pseudorandom integers uniformly distributed in 0..(2^32 - 1)
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starting from any odd seed in 0..(2^32 - 1). This version is a recode
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by Shawn Cokus (Cokus@math.washington.edu) on March 8, 1998 of a version by
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Takuji Nishimura (who had suggestions from Topher Cooper and Marc Rieffel in
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July-August 1997).
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Effectiveness of the recoding (on Goedel2.math.washington.edu, a DEC Alpha
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running OSF/1) using GCC -O3 as a compiler: before recoding: 51.6 sec. to
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generate 300 million random numbers; after recoding: 24.0 sec. for the same
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(i.e., 46.5% of original time), so speed is now about 12.5 million random
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number generations per second on this machine.
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According to the URL <http://www.math.keio.ac.jp/~matumoto/emt.html>
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(and paraphrasing a bit in places), the Mersenne Twister is ``designed
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with consideration of the flaws of various existing generators,'' has
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a period of 2^19937 - 1, gives a sequence that is 623-dimensionally
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equidistributed, and ``has passed many stringent tests, including the
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die-hard test of G. Marsaglia and the load test of P. Hellekalek and
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S. Wegenkittl.'' It is efficient in memory usage (typically using 2506
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to 5012 bytes of static data, depending on data type sizes, and the code
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is quite short as well). It generates random numbers in batches of 624
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at a time, so the caching and pipelining of modern systems is exploited.
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It is also divide- and mod-free.
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This library is free software; you can redistribute it and/or modify it
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under the terms of the GNU Library General Public License as published by
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the Free Software Foundation (either version 2 of the License or, at your
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option, any later version). This library is distributed in the hope that
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it will be useful, but WITHOUT ANY WARRANTY, without even the implied
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warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See
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the GNU Library General Public License for more details. You should have
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received a copy of the GNU Library General Public License along with this
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library; if not, write to the Free Software Foundation, Inc., 59 Temple
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Place, Suite 330, Boston, MA 02111-1307, USA.
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The code as Shawn received it included the following notice:
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Copyright (C) 1997 Makoto Matsumoto and Takuji Nishimura. When
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you use this, send an e-mail to <matumoto@math.keio.ac.jp> with
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an appropriate reference to your work.
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It would be nice to CC: <Cokus@math.washington.edu> when you write.
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The following php_mt_...() functions are based on a C++ class MTRand by
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Richard J. Wagner. For more information see the web page at
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http://www-personal.engin.umich.edu/~wagnerr/MersenneTwister.html
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php_uint32 must be an unsigned integer type capable of holding at least 32
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bits; exactly 32 should be fastest, but 64 is better on an Alpha with
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GCC at -O3 optimization so try your options and see what's best for you
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Mersenne Twister random number generator -- a C++ class MTRand
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Based on code by Makoto Matsumoto, Takuji Nishimura, and Shawn Cokus
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Richard J. Wagner v1.0 15 May 2003 rjwagner@writeme.com
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Melo: we should put some ifdefs here to catch those alphas...
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The Mersenne Twister is an algorithm for generating random numbers. It
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was designed with consideration of the flaws in various other generators.
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The period, 2^19937-1, and the order of equidistribution, 623 dimensions,
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are far greater. The generator is also fast; it avoids multiplication and
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division, and it benefits from caches and pipelines. For more information
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see the inventors' web page at http://www.math.keio.ac.jp/~matumoto/emt.html
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Reference
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M. Matsumoto and T. Nishimura, "Mersenne Twister: A 623-Dimensionally
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Equidistributed Uniform Pseudo-Random Number Generator", ACM Transactions on
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Modeling and Computer Simulation, Vol. 8, No. 1, January 1998, pp 3-30.
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Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
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Copyright (C) 2000 - 2003, Richard J. Wagner
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All rights reserved.
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Redistribution and use in source and binary forms, with or without
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modification, are permitted provided that the following conditions
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are met:
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1. Redistributions of source code must retain the above copyright
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notice, this list of conditions and the following disclaimer.
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2. Redistributions in binary form must reproduce the above copyright
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notice, this list of conditions and the following disclaimer in the
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documentation and/or other materials provided with the distribution.
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3. The names of its contributors may not be used to endorse or promote
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products derived from this software without specific prior written
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permission.
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR
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CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
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EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
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PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
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PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
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LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
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NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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The original code included the following notice:
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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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It would be nice to CC: rjwagner@writeme.com and Cokus@math.washington.edu
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when you write.
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*/
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#define N MT_N /* length of state vector */
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#define M (397) /* a period parameter */
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#define K (0x9908B0DFU) /* a magic constant */
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#define hiBit(u) ((u) & 0x80000000U) /* mask all but highest bit of u */
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#define loBit(u) ((u) & 0x00000001U) /* mask all but lowest bit of u */
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#define loBits(u) ((u) & 0x7FFFFFFFU) /* mask the highest bit of u */
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#define mixBits(u, v) (hiBit(u)|loBits(v)) /* move hi bit of u to hi bit of v */
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/* {{{ php_mt_srand
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#define twist(m,u,v) (m ^ (mixBits(u,v)>>1) ^ ((php_uint32)(-(php_int32)(loBit(u))) & 0x9908b0dfU))
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/* {{{ php_mt_initialize
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*/
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PHPAPI void php_mt_srand(php_uint32 seed TSRMLS_DC)
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static inline void php_mt_initialize(php_uint32 seed, php_uint32 *state)
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{
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/*
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We initialize state[0..(N-1)] via the generator
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/* Initialize generator state with seed
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See Knuth TAOCP Vol 2, 3rd Ed, p.106 for multiplier.
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In previous versions, most significant bits (MSBs) of the seed affect
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only MSBs of the state array. Modified 9 Jan 2002 by Makoto Matsumoto. */
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x_new = (69069 * x_old) mod 2^32
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register php_uint32 *s = state;
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register php_uint32 *r = state;
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register int i = 1;
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from Line 15 of Table 1, p. 106, Sec. 3.3.4 of Knuth's
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_The Art of Computer Programming_, Volume 2, 3rd ed.
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Notes (SJC): I do not know what the initial state requirements
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of the Mersenne Twister are, but it seems this seeding generator
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could be better. It achieves the maximum period for its modulus
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(2^30) iff x_initial is odd (p. 20-21, Sec. 3.2.1.2, Knuth); if
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x_initial can be even, you have sequences like 0, 0, 0, ...;
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2^31, 2^31, 2^31, ...; 2^30, 2^30, 2^30, ...; 2^29, 2^29 + 2^31,
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2^29, 2^29 + 2^31, ..., etc. so I force seed to be odd below.
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Even if x_initial is odd, if x_initial is 1 mod 4 then
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the lowest bit of x is always 1,
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the next-to-lowest bit of x is always 0,
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the 2nd-from-lowest bit of x alternates ... 0 1 0 1 0 1 0 1 ... ,
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the 3rd-from-lowest bit of x 4-cycles ... 0 1 1 0 0 1 1 0 ... ,
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the 4th-from-lowest bit of x has the 8-cycle ... 0 0 0 1 1 1 1 0 ... ,
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...
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and if x_initial is 3 mod 4 then
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the lowest bit of x is always 1,
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the next-to-lowest bit of x is always 1,
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the 2nd-from-lowest bit of x alternates ... 0 1 0 1 0 1 0 1 ... ,
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the 3rd-from-lowest bit of x 4-cycles ... 0 0 1 1 0 0 1 1 ... ,
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the 4th-from-lowest bit of x has the 8-cycle ... 0 0 1 1 1 1 0 0 ... ,
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...
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The generator's potency (min. s>=0 with (69069-1)^s = 0 mod 2^32) is
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16, which seems to be alright by p. 25, Sec. 3.2.1.3 of Knuth. It
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also does well in the dimension 2..5 spectral tests, but it could be
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better in dimension 6 (Line 15, Table 1, p. 106, Sec. 3.3.4, Knuth).
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Note that the random number user does not see the values generated
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here directly since reloadMT() will always munge them first, so maybe
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none of all of this matters. In fact, the seed values made here could
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even be extra-special desirable if the Mersenne Twister theory says
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so-- that's why the only change I made is to restrict to odd seeds.
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*/
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register php_uint32 x = (seed | 1U) & 0xFFFFFFFFU, *s = BG(state);
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register int j;
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for (BG(left) = 0, *s++ = x, j = N; --j;
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*s++ = (x *= 69069U) & 0xFFFFFFFFU);
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/* Seed only once */
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BG(mt_rand_is_seeded) = 1;
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*s++ = seed & 0xffffffffU;
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for( ; i < N; ++i ) {
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*s++ = ( 1812433253U * ( *r ^ (*r >> 30) ) + i ) & 0xffffffffU;
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r++;
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}
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}
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/* }}} */
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/* {{{ php_mt_reload
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*/
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static php_uint32 php_mt_reload(TSRMLS_D)
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static inline void php_mt_reload(TSRMLS_D)
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{
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register php_uint32 *p0 = BG(state), *p2 = BG(state) + 2, *pM = BG(state) + M, s0, s1;
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register int j;
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/* Generate N new values in state
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Made clearer and faster by Matthew Bellew (matthew.bellew@home.com) */
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if (BG(left) < -1)
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php_mt_srand(4357U TSRMLS_CC);
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register php_uint32 *state = BG(state);
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register php_uint32 *p = state;
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register int i;
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BG(left) = N - 1, BG(next) = BG(state) + 1;
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for (i = N - M; i--; ++p)
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*p = twist(p[M], p[0], p[1]);
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for (i = M; --i; ++p)
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*p = twist(p[M-N], p[0], p[1]);
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*p = twist(p[M-N], p[0], state[0]);
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BG(left) = N;
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BG(next) = state;
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}
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/* }}} */
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for (s0 = BG(state)[0], s1 = BG(state)[1], j = N - M + 1; --j; s0 = s1, s1 = *p2++)
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*p0++ = *pM++ ^ (mixBits(s0, s1) >> 1) ^ (loBit(s1) ? K : 0U);
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/* {{{ php_mt_srand
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*/
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PHPAPI void php_mt_srand(php_uint32 seed TSRMLS_DC)
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{
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/* Seed the generator with a simple uint32 */
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php_mt_initialize(seed, BG(state));
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php_mt_reload(TSRMLS_C);
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for (pM = BG(state), j = M; --j; s0 = s1, s1 = *p2++)
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*p0++ = *pM++ ^ (mixBits(s0, s1) >> 1) ^ (loBit(s1) ? K : 0U);
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s1 = BG(state)[0], *p0 = *pM ^ (mixBits(s0, s1) >> 1) ^ (loBit(s1) ? K : 0U);
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s1 ^= (s1 >> 11);
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s1 ^= (s1 << 7) & 0x9D2C5680U;
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s1 ^= (s1 << 15) & 0xEFC60000U;
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return s1 ^ (s1 >> 18);
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/* Seed only once */
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BG(mt_rand_is_seeded) = 1;
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}
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/* }}} */
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@@ -238,17 +216,21 @@ static php_uint32 php_mt_reload(TSRMLS_D)
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*/
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PHPAPI php_uint32 php_mt_rand(TSRMLS_D)
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{
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php_uint32 y;
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/* Pull a 32-bit integer from the generator state
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Every other access function simply transforms the numbers extracted here */
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register php_uint32 s1;
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if (--BG(left) < 0)
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return php_mt_reload(TSRMLS_C);
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y = *BG(next)++;
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y ^= (y >> 11);
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y ^= (y << 7) & 0x9D2C5680U;
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y ^= (y << 15) & 0xEFC60000U;
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return y ^ (y >> 18);
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if (BG(left) == 0) {
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php_mt_reload(TSRMLS_C);
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}
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--BG(left);
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s1 = *BG(next)++;
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s1 ^= (s1 >> 11);
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s1 ^= (s1 << 7) & 0x9d2c5680U;
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s1 ^= (s1 << 15) & 0xefc60000U;
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return ( s1 ^ (s1 >> 18) );
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}
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/* }}} */
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