tinymt32
This commit is contained in:
30
LICENSE.tinymt.txt
Normal file
30
LICENSE.tinymt.txt
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@@ -0,0 +1,30 @@
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Copyright (c) 2011, 2013 Mutsuo Saito, Makoto Matsumoto,
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Hiroshima University and The University of Tokyo.
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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 are
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met:
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* 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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* Redistributions in binary form must reproduce the above
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copyright notice, this list of conditions and the following
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disclaimer in the documentation and/or other materials provided
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with the distribution.
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* Neither the name of the Hiroshima University nor the names of
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its contributors may be used to endorse or promote products
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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
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OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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@@ -772,7 +772,7 @@ class BuiltinFunction
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}
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}
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static double RNDF(PetitComputer p, int seedid)
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static double RNDF(PetitComputer p, int seedid)
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{
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{
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return p.random.random(seedid, 0.0, 1.0);
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return p.random.RNDF(seedid);
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}
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}
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static int RND(PetitComputer p, int max)
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static int RND(PetitComputer p, int max)
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{
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{
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@@ -780,7 +780,7 @@ class BuiltinFunction
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}
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}
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static double RNDF(PetitComputer p)
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static double RNDF(PetitComputer p)
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{
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{
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return p.random.random(0, 0.0, 1.0);
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return p.random.RNDF(0);
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}
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}
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@StartOptional("W")
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@StartOptional("W")
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static void DTREAD(out int Y, out int M, out int D, out int W)
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static void DTREAD(out int Y, out int M, out int D, out int W)
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@@ -1,14 +1,45 @@
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module otya.smilebasic.random;
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module otya.smilebasic.random;
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import std.random;
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import std.random;
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import tinymt32;
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struct TinyMT(uint mat1 = 0x8f7011ee, uint mat2 = 0xfc78ff1f, uint tmat = 0x3793fdff)
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{
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tinymt32_t tinymt = tinymt32_t([0, 0, 0, 0], mat1, mat2, tmat);
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this(uint x)
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{
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seed(x);
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}
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void seed(uint seed)
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{
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tinymt32_init(&tinymt, seed);
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popFront;
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}
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private uint f;
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void popFront()
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{
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f = tinymt32_generate_uint32(&tinymt);
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}
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typeof(this) save() @safe pure nothrow @nogc
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{
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return this;
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}
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uint front() @safe pure nothrow @nogc const
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{
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return f;
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}
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enum isUniformRandom = true;
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enum empty = false;
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enum min = uint.min;
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enum max = uint.max;
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}
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class Random
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class Random
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{
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{
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alias RandomType = Xorshift64;
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alias RandomType = TinyMT!();
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//LinearCongruentialEngine!(uint, 16_807, 0, 2_147_483_647)[8] engine;
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RandomType[8] engine;
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RandomType[8] engine;
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public this()
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public this()
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{
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{
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foreach (e; engine)
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foreach (ref e; engine)
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{
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{
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e.seed(unpredictableSeed);
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e.seed(unpredictableSeed);
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}
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}
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@@ -17,6 +48,12 @@ class Random
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{
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{
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return uniform(min, max, engine[seedid]);
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return uniform(min, max, engine[seedid]);
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}
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}
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public double RNDF(int seedid)
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{
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auto d = uniform(0.0, 1.0, engine[seedid]);
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uniform(0.0, 1.0, engine[seedid]);//why??????????????
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return d;
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}
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public void randomize(int seedid)
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public void randomize(int seedid)
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{
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{
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engine[seedid].seed(unpredictableSeed);
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engine[seedid].seed(unpredictableSeed);
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377
SMILEBASIC/tinymt32.d
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377
SMILEBASIC/tinymt32.d
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@@ -0,0 +1,377 @@
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module tinymt32;
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/**
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* @file tinymt32.h
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*
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* @brief Tiny Mersenne Twister only 127 bit internal state
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*
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* @author Mutsuo Saito (Hiroshima University)
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* @author Makoto Matsumoto (University of Tokyo)
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*
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* Copyright (C) 2011 Mutsuo Saito, Makoto Matsumoto,
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* Hiroshima University and The University of Tokyo.
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* All rights reserved.
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*
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* The 3-clause BSD License is applied to this software, see
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* LICENSE.txt
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*/
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uint UINT32_C(T)(T a)
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{
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return cast(uint)a;
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}
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const TINYMT32_MEXP = 127;
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const TINYMT32_SH0 = 1;
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const TINYMT32_SH1 = 10;
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const TINYMT32_SH8 = 8;
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const TINYMT32_MASK = UINT32_C(0x7fffffff);
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const TINYMT32_MUL = (1.0f / 16777216.0f);
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/**
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* tinymt32 internal state vector and parameters
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*/
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struct tinymt32_t {
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uint32_t[4] status;
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uint32_t mat1;
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uint32_t mat2;
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uint32_t tmat;
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}
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/**
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* This function always returns 127
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* @param random not used
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* @return always 127
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*/
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static int tinymt32_get_mexp(tinymt32_t * random) {
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return TINYMT32_MEXP;
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}
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/**
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* This function changes internal state of tinymt32.
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* Users should not call this function directly.
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* @param random tinymt internal status
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*/
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static void tinymt32_next_state(tinymt32_t * random) {
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uint32_t x;
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uint32_t y;
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y = random.status[3];
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x = (random.status[0] & TINYMT32_MASK)
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^ random.status[1]
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^ random.status[2];
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x ^= (x << TINYMT32_SH0);
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y ^= (y >> TINYMT32_SH0) ^ x;
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random.status[0] = random.status[1];
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random.status[1] = random.status[2];
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random.status[2] = x ^ (y << TINYMT32_SH1);
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random.status[3] = y;
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random.status[1] ^= -(cast(int32_t)(y & 1)) & random.mat1;
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random.status[2] ^= -(cast(int32_t)(y & 1)) & random.mat2;
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}
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/**
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* This function outputs 32-bit unsigned integer from internal state.
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* Users should not call this function directly.
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* @param random tinymt internal status
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* @return 32-bit unsigned pseudorandom number
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*/
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static uint32_t tinymt32_temper(tinymt32_t * random) {
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uint32_t t0, t1;
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t0 = random.status[3];
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version(LINEARITY_CHECK)
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{
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t1 = random.status[0]
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^ (random.status[2] >> TINYMT32_SH8);
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}
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else
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{
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t1 = random.status[0]
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+ (random.status[2] >> TINYMT32_SH8);
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}
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t0 ^= t1;
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t0 ^= -(cast(int32_t)(t1 & 1)) & random.tmat;
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return t0;
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}
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/**
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* This function outputs floating point number from internal state.
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* Users should not call this function directly.
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* @param random tinymt internal status
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* @return floating point number r (1.0 <= r < 2.0)
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*/
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static float tinymt32_temper_conv(tinymt32_t * random) {
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uint32_t t0, t1;
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union Conv
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{
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uint32_t u;
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float f;
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}
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Conv conv;
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t0 = random.status[3];
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version(LINEARITY_CHECK)
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t1 = random.status[0]
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^ (random.status[2] >> TINYMT32_SH8);
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else
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t1 = random.status[0]
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+ (random.status[2] >> TINYMT32_SH8);
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t0 ^= t1;
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conv.u = ((t0 ^ (-(cast(int32_t)(t1 & 1)) & random.tmat)) >> 9)
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| UINT32_C(0x3f800000);
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return conv.f;
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}
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/**
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* This function outputs floating point number from internal state.
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* Users should not call this function directly.
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* @param random tinymt internal status
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* @return floating point number r (1.0 < r < 2.0)
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*/
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static float tinymt32_temper_conv_open(tinymt32_t * random) {
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uint32_t t0, t1;
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union Conv
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{
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uint32_t u;
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float f;
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}
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Conv conv;
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t0 = random.status[3];
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version(LINEARITY_CHECK)
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t1 = random.status[0]
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^ (random.status[2] >> TINYMT32_SH8);
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else
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t1 = random.status[0]
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+ (random.status[2] >> TINYMT32_SH8);
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t0 ^= t1;
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conv.u = ((t0 ^ (-(cast(int32_t)(t1 & 1)) & random.tmat)) >> 9)
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| UINT32_C(0x3f800001);
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return conv.f;
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}
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/**
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* This function outputs 32-bit unsigned integer from internal state.
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* @param random tinymt internal status
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* @return 32-bit unsigned integer r (0 <= r < 2^32)
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*/
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static uint32_t tinymt32_generate_uint32(tinymt32_t * random) {
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tinymt32_next_state(random);
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return tinymt32_temper(random);
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}
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/**
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* This function outputs floating point number from internal state.
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* This function is implemented using multiplying by (1 / 2^24).
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* floating point multiplication is faster than using union trick in
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* my Intel CPU.
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* @param random tinymt internal status
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* @return floating point number r (0.0 <= r < 1.0)
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*/
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static float tinymt32_generate_float(tinymt32_t * random) {
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tinymt32_next_state(random);
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return (tinymt32_temper(random) >> 8) * TINYMT32_MUL;
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}
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/**
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* This function outputs floating point number from internal state.
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* This function is implemented using union trick.
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* @param random tinymt internal status
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* @return floating point number r (1.0 <= r < 2.0)
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*/
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static float tinymt32_generate_float12(tinymt32_t * random) {
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tinymt32_next_state(random);
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return tinymt32_temper_conv(random);
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}
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/**
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* This function outputs floating point number from internal state.
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* This function is implemented using union trick.
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* @param random tinymt internal status
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* @return floating point number r (0.0 <= r < 1.0)
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*/
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static float tinymt32_generate_float01(tinymt32_t * random) {
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tinymt32_next_state(random);
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return tinymt32_temper_conv(random) - 1.0f;
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}
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/**
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* This function outputs floating point number from internal state.
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* This function may return 1.0 and never returns 0.0.
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* @param random tinymt internal status
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* @return floating point number r (0.0 < r <= 1.0)
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*/
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static float tinymt32_generate_floatOC(tinymt32_t * random) {
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tinymt32_next_state(random);
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return 1.0f - tinymt32_generate_float(random);
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}
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|
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/**
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* This function outputs floating point number from internal state.
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* This function returns neither 0.0 nor 1.0.
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* @param random tinymt internal status
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* @return floating point number r (0.0 < r < 1.0)
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*/
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static float tinymt32_generate_floatOO(tinymt32_t * random) {
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tinymt32_next_state(random);
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return tinymt32_temper_conv_open(random) - 1.0f;
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}
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|
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/**
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* This function outputs double precision floating point number from
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* internal state. The returned value has 32-bit precision.
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* In other words, this function makes one double precision floating point
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* number from one 32-bit unsigned integer.
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* @param random tinymt internal status
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* @return floating point number r (0.0 < r <= 1.0)
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*/
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static double tinymt32_generate_32double(tinymt32_t * random) {
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tinymt32_next_state(random);
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return tinymt32_temper(random) * (1.0 / 4294967296.0);
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}
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/**
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|
* @file tinymt32.c
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|
*
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* @brief Tiny Mersenne Twister only 127 bit internal state
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|
*
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* @author Mutsuo Saito (Hiroshima University)
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||||||
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* @author Makoto Matsumoto (The University of Tokyo)
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|
*
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|
* Copyright (C) 2011 Mutsuo Saito, Makoto Matsumoto,
|
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|
* Hiroshima University and The University of Tokyo.
|
||||||
|
* All rights reserved.
|
||||||
|
*
|
||||||
|
* The 3-clause BSD License is applied to this software, see
|
||||||
|
* LICENSE.txt
|
||||||
|
*/
|
||||||
|
const MIN_LOOP = 8;
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const PRE_LOOP = 8;
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|
alias uint32_t = uint;
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|
alias int32_t = int;
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||||||
|
|
||||||
|
/**
|
||||||
|
* This function represents a function used in the initialization
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||||||
|
* by init_by_array
|
||||||
|
* @param x 32-bit integer
|
||||||
|
* @return 32-bit integer
|
||||||
|
*/
|
||||||
|
static uint32_t ini_func1(uint32_t x) {
|
||||||
|
return (x ^ (x >> 27)) * UINT32_C(1664525);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* This function represents a function used in the initialization
|
||||||
|
* by init_by_array
|
||||||
|
* @param x 32-bit integer
|
||||||
|
* @return 32-bit integer
|
||||||
|
*/
|
||||||
|
static uint32_t ini_func2(uint32_t x) {
|
||||||
|
return (x ^ (x >> 27)) * UINT32_C(1566083941);
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* This function certificate the period of 2^127-1.
|
||||||
|
* @param random tinymt state vector.
|
||||||
|
*/
|
||||||
|
static void period_certification(tinymt32_t* random) {
|
||||||
|
if ((random.status[0] & TINYMT32_MASK) == 0 &&
|
||||||
|
random.status[1] == 0 &&
|
||||||
|
random.status[2] == 0 &&
|
||||||
|
random.status[3] == 0) {
|
||||||
|
random.status[0] = 'T';
|
||||||
|
random.status[1] = 'I';
|
||||||
|
random.status[2] = 'N';
|
||||||
|
random.status[3] = 'Y';
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* This function initializes the internal state array with a 32-bit
|
||||||
|
* unsigned integer seed.
|
||||||
|
* @param random tinymt state vector.
|
||||||
|
* @param seed a 32-bit unsigned integer used as a seed.
|
||||||
|
*/
|
||||||
|
void tinymt32_init(tinymt32_t* random, uint32_t seed) {
|
||||||
|
random.status[0] = seed;
|
||||||
|
random.status[1] = random.mat1;
|
||||||
|
random.status[2] = random.mat2;
|
||||||
|
random.status[3] = random.tmat;
|
||||||
|
for (int i = 1; i < MIN_LOOP; i++) {
|
||||||
|
random.status[i & 3] ^= i + UINT32_C(1812433253)
|
||||||
|
* (random.status[(i - 1) & 3]
|
||||||
|
^ (random.status[(i - 1) & 3] >> 30));
|
||||||
|
}
|
||||||
|
period_certification(random);
|
||||||
|
for (int i = 0; i < PRE_LOOP; i++) {
|
||||||
|
tinymt32_next_state(random);
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* This function initializes the internal state array,
|
||||||
|
* with an array of 32-bit unsigned integers used as seeds
|
||||||
|
* @param random tinymt state vector.
|
||||||
|
* @param init_key the array of 32-bit integers, used as a seed.
|
||||||
|
* @param key_length the length of init_key.
|
||||||
|
*/
|
||||||
|
void tinymt32_init_by_array(tinymt32_t * random, uint32_t[] init_key, int key_length) {
|
||||||
|
const int lag = 1;
|
||||||
|
const int mid = 1;
|
||||||
|
const int size = 4;
|
||||||
|
int i, j;
|
||||||
|
int count;
|
||||||
|
uint32_t r;
|
||||||
|
uint32_t * st = &random.status[0];
|
||||||
|
|
||||||
|
st[0] = 0;
|
||||||
|
st[1] = random.mat1;
|
||||||
|
st[2] = random.mat2;
|
||||||
|
st[3] = random.tmat;
|
||||||
|
if (key_length + 1 > MIN_LOOP) {
|
||||||
|
count = key_length + 1;
|
||||||
|
} else {
|
||||||
|
count = MIN_LOOP;
|
||||||
|
}
|
||||||
|
r = ini_func1(st[0] ^ st[mid % size]
|
||||||
|
^ st[(size - 1) % size]);
|
||||||
|
st[mid % size] += r;
|
||||||
|
r += key_length;
|
||||||
|
st[(mid + lag) % size] += r;
|
||||||
|
st[0] = r;
|
||||||
|
count--;
|
||||||
|
for (i = 1, j = 0; (j < count) && (j < key_length); j++) {
|
||||||
|
r = ini_func1(st[i % size]
|
||||||
|
^ st[(i + mid) % size]
|
||||||
|
^ st[(i + size - 1) % size]);
|
||||||
|
st[(i + mid) % size] += r;
|
||||||
|
r += init_key[j] + i;
|
||||||
|
st[(i + mid + lag) % size] += r;
|
||||||
|
st[i % size] = r;
|
||||||
|
i = (i + 1) % size;
|
||||||
|
}
|
||||||
|
for (; j < count; j++) {
|
||||||
|
r = ini_func1(st[i % size]
|
||||||
|
^ st[(i + mid) % size]
|
||||||
|
^ st[(i + size - 1) % size]);
|
||||||
|
st[(i + mid) % size] += r;
|
||||||
|
r += i;
|
||||||
|
st[(i + mid + lag) % size] += r;
|
||||||
|
st[i % size] = r;
|
||||||
|
i = (i + 1) % size;
|
||||||
|
}
|
||||||
|
for (j = 0; j < size; j++) {
|
||||||
|
r = ini_func2(st[i % size]
|
||||||
|
+ st[(i + mid) % size]
|
||||||
|
+ st[(i + size - 1) % size]);
|
||||||
|
st[(i + mid) % size] ^= r;
|
||||||
|
r -= i;
|
||||||
|
st[(i + mid + lag) % size] ^= r;
|
||||||
|
st[i % size] = r;
|
||||||
|
i = (i + 1) % size;
|
||||||
|
}
|
||||||
|
period_certification(random);
|
||||||
|
for (i = 0; i < PRE_LOOP; i++) {
|
||||||
|
tinymt32_next_state(random);
|
||||||
|
}
|
||||||
|
}
|
||||||
Reference in New Issue
Block a user