diff --git a/apps/medlda_release/README.txt b/apps/medlda_release/README.txt new file mode 100644 index 0000000..5de289c --- /dev/null +++ b/apps/medlda_release/README.txt @@ -0,0 +1,17 @@ +Input data file format: + +Each line represents 1 document, and consists of the following in order: + + 0 or more integer labels [0 to num_label) in a one-hot encoding. + + num_xtra real values as constant extra predictors in the classifier matrix. + + num_target real values as regression targets (each regression target is a separate "task" to predict a scalar). + + any number of word:count pairs where word is an arbitrary string containing no spaces or ':'s and count is a positive integer. + + + + + + diff --git a/apps/medlda_release/dSFMT/CHANGE-LOG.txt b/apps/medlda_release/dSFMT/CHANGE-LOG.txt new file mode 100644 index 0000000..faa6d35 --- /dev/null +++ b/apps/medlda_release/dSFMT/CHANGE-LOG.txt @@ -0,0 +1,93 @@ +ver 2.2.3 +------- +change Makefile for nmake + +ver 2.2.2 +------- +fix MSC 2012 compile error. + +ver 2.2.1 +------- +The code for ALTIVEC is changed, to fit to the ISA manual. +This was reported by Tao Yao, thanks. + +ver 2.2.0 +------- +move do_recursion to dSFMT-common.h + +ver 2.1.1 +------- +The initialization of the constants for sse2 is changed. +Old version may cause trouble in parallel environment like OpenMP. + +ver 2.1 +------- +This version supports the periods from 2^521-1 to 2^216091-1. +We added new function dsfmt_genrand_uint32, which returns 32-bit +unsigned integer. If you need many floating point pseudo random +numbers and a few integers, you don't need to use another +integer generator. + +ver 2.0 +------- +The recursion formula of dSFMT is changed. +The supported periods are changed. +The output sequences are completely changed. +The generation speed is improved. +The variable for initialization check is removed, because it causes +an execution error in cygwin. + +ver 1.3.1 +------- +change dSFMT.h not to include dSFMT-params.h +change Makefile to clean test files. + +ver 1.3 +------- +add `dsfmt_' prefix to functions. +changed to structure base code. +put Intel Compiler into silence. +bug fix checking BIG_ENDIAN and BYTE_ORDER +change test.c not to include dSFMT.c +dSFMT-alti.h and dSFMT-sse2.h are marged into dSFMT.c + +ver 1.2.1 +------- +add #include to dSFMT.c + +ver 1.2 +------- +The precision specifier of printf was too large in test.c +CAUTION! *.out.txt is changed. +add dSFMT-params216091.h +gcc compile option changed form -O9 to -O3. +add AltiVec parameter format for systems which are not OSX. +change Makefile for systems which are not OSX and support AltiVec. +change sample2 of howto-compile for Free BSD. +change period certification code more smart. +change source files for BORLANDC and Visual Studio. + +ver 1.1.1 +------- +BUG in dSFMT-sse2.h is fixed. +This bug didn't change the result. +Change test.c + +ver 1.1 +------- +add dSFMT-params132049.h +fix bug in period_certification. It's a bug but result is the same for +all parameter files. +change macro definition names and global variables. Thank you, Adam Piatyszek. +remove L suffix from floating point constants. It's Saito's misunderstanding. +fix bug of sfmt_idxof definition for BIG ENDIAN machine. + +ver 1.0.1 +------- +change name dSFMT-alti.c to SFMT-alti.h +change name dSFMT-sse2.c to SFMT-sse2.h +This version is not released. + +ver 1.0 +------- +The first version. diff --git a/apps/medlda_release/dSFMT/FILES.txt b/apps/medlda_release/dSFMT/FILES.txt new file mode 100644 index 0000000..d1dcc9b --- /dev/null +++ b/apps/medlda_release/dSFMT/FILES.txt @@ -0,0 +1,27 @@ +This archive contails following directories and files. + +TOP DIRECTORY +FILES.txt: This file. +CHANGE-LOG.txt change log. +LICENSE.txt: License file. +Makefile: Makefile for test programs. +dSFMT.h: Header file. +dSFMT-common.h: Header file. +dSFMT-params.h: parameter file control for various Mersenne expornent +dSFMT-params521.h: parameters for period of 2^{521}-1 +dSFMT-params1279.h: parameters for period of 2^{1279}-1 +dSFMT-params2203.h: parameters for period of 2^{2203}-1 +dSFMT-params4253.h: parameters for period of 2^{4253}-1 +dSFMT-params11213.h: parameters for period of 2^{11213}-1 +dSFMT-params19937.h: parameters for period of 2^{19937}-1 +dSFMT.c: C code for standard C (c99) and unix like systems. +test.c: Test driver for standard C. +check.sh: Test shell script. +dSFMT.521.out.txt: correct output of dSFMT MEXP=521 +dSFMT.1279.out.txt: correct output of dSFMT MEXP=1279 +dSFMT.2203.out.txt: correct output of dSFMT MEXP=2203 +dSFMT.4253.out.txt: correct output of dSFMT MEXP=4253 +dSFMT.11213.out.txt: correct output of dSFMT MEXP=11213 +dSFMT.19937.out.txt: correct output of dSFMT MEXP=19937 + +html DIRECTORY: The documents generated by doxygen. diff --git a/apps/medlda_release/dSFMT/LICENSE.txt b/apps/medlda_release/dSFMT/LICENSE.txt new file mode 100644 index 0000000..4570c46 --- /dev/null +++ b/apps/medlda_release/dSFMT/LICENSE.txt @@ -0,0 +1,32 @@ +Copyright (c) 2007, 2008, 2009 Mutsuo Saito, Makoto Matsumoto +and Hiroshima University. +Copyright (c) 2011, 2002 Mutsuo Saito, Makoto Matsumoto, Hiroshima +University and The University of Tokyo. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * 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. + * Neither the name of the Hiroshima 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 COPYRIGHT HOLDERS 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 COPYRIGHT +OWNER 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. diff --git a/apps/medlda_release/dSFMT/Makefile b/apps/medlda_release/dSFMT/Makefile new file mode 100644 index 0000000..978b2dd --- /dev/null +++ b/apps/medlda_release/dSFMT/Makefile @@ -0,0 +1,198 @@ +# @file Makefile +# @brief Makefile +# +# @author Mutsuo Saito (Hiroshima University) +# @author Makoto Matsumoto (Hiroshima University) +# +# Copyright (C) 2007, 2008, 2013 Mutsuo Saito, Makoto Matsumoto and +# Hiroshima University. All rights reserved. +# +# The new BSD License is applied to this software. +# see LICENSE.txt +# +# @note +# We could comple test-sse2-Mxxx using gcc 3.4.4 of cygwin. +# We could comple test-sse2-Mxxx using gcc 4.0.1 of Linux. +# We coundn't comple test-sse2-Mxxx using gcc 3.3.2 of Linux. +# We could comple test-alti-Mxxx using gcc 3.3 of osx. +# We could comple test-alti-Mxxx using gcc 4.0 of osx. + +WARN = -Wmissing-prototypes -Wall #-Winline +#WARN = -Wmissing-prototypes -Wall -W +#WARN = /Wall +OPTI = -O3 -finline-functions -fomit-frame-pointer -DNDEBUG \ +-fno-strict-aliasing --param max-inline-insns-single=1800 +#--param inline-unit-growth=500 --param large-function-growth=900 #for gcc 4 +#OPTI = /Ot /Ob2 /Oy /Ox /Oi /GL /G6 +#STD = +#STD = -std=c89 -pedantic +#STD = -std=c99 -pedantic +STD = -std=c99 +CC = gcc +CCFLAGS = $(OPTI) $(WARN) $(STD) +ALTIFLAGS = -mabi=altivec -maltivec -DHAVE_ALTIVEC +OSXALTIFLAGS = -faltivec -maltivec -DHAVE_ALTIVEC +SSE2FLAGS = -msse2 -DHAVE_SSE2 +#SSE2FLAGS = /arch:SSE2 /DHAVE_SSE2 +STD_TARGET = test-std-M19937 +ALL_STD_TARGET = test-std-M521 test-std-M1279 test-std-M2203 test-std-M4253 \ +test-std-M11213 test-std-M19937 test-std-M44497 test-std-M86243 \ +test-std-M132049 test-std-M216091 +ALTI_TARGET = $(STD_TARGET) test-alti-M19937 +ALL_ALTI_TARGET = test-alti-M521 test-alti-M1279 test-alti-M2203 \ +test-alti-M4253 test-alti-M11213 test-alti-M19937 test-alti-M44497 \ +test-alti-M86243 test-alti-M132049 test-alti-M216091 +SSE2_TARGET = $(STD_TARGET) test-sse2-M19937 +ALL_SSE2_TARGET = test-sse2-M521 test-sse2-M1279 test-sse2-M2203 \ +test-sse2-M4253 test-sse2-M11213 test-sse2-M19937 test-sse2-M44497 \ +test-sse2-M86243 test-sse2-M132049 test-sse2-M216091 +# ========================================================== +# comment out or EDIT following lines to get max performance +# ========================================================== +# -------------------- +# for gcc 4 +# -------------------- +CCFLAGS += --param inline-unit-growth=500 \ + --param large-function-growth=900 +# -------------------- +# for icl +# -------------------- +#CC = icl /Wcheck /O3 /QxB /Qprefetch +# -------------------- +# for icc +# -------------------- +#CC = icc +#OPTI = -O3 -finline-functions -fomit-frame-pointer -DNDEBUG \ +#-fno-strict-aliasing +#CCFLAGS = $(OPTI) $(WARN) $(STD) +# ----------------- +# for PowerPC +# ----------------- +#CCFLAGS += -arch ppc +# ----------------- +# for Pentium M +# ----------------- +#CCFLAGS += -march=prescott +# ----------------- +# for Athlon 64 +# ----------------- +#CCFLAGS += -march=athlon64 + +.PHONY: std-check sse2-check alti-check + +std: $(STD_TARGET) + +sse2: $(SSE2_TARGET) + +alti: $(ALTI_TARGET) + +osx-alti: + $(MAKE) "ALTIFLAGS=$(OSXALTIFLAGS)" alti + +std-check: $(ALL_STD_TARGET) + ./check.sh test-std + +sse2-check: $(ALL_SSE2_TARGET) + ./check.sh test-sse2 + +alti-check: $(ALL_ALTI_TARGET) + ./check.sh test-alti + +osx-alti-check: + make "ALTIFLAGS=$(OSXALTIFLAGS)" alti-check + +test-std-M521: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) -DDSFMT_MEXP=521 -o $@ dSFMT.c test.c + +test-alti-M521: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(ALTIFLAGS) -DDSFMT_MEXP=521 -o $@ dSFMT.c test.c + +test-sse2-M521: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(SSE2FLAGS) -DDSFMT_MEXP=521 -o $@ dSFMT.c test.c + +test-std-M1279: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) -DDSFMT_MEXP=1279 -o $@ dSFMT.c test.c + +test-alti-M1279: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(ALTIFLAGS) -DDSFMT_MEXP=1279 -o $@ dSFMT.c test.c + +test-sse2-M1279: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(SSE2FLAGS) -DDSFMT_MEXP=1279 -o $@ dSFMT.c test.c + +test-std-M2203: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) -DDSFMT_MEXP=2203 -o $@ dSFMT.c test.c + +test-alti-M2203: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(ALTIFLAGS) -DDSFMT_MEXP=2203 -o $@ dSFMT.c test.c + +test-sse2-M2203: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(SSE2FLAGS) -DDSFMT_MEXP=2203 -o $@ dSFMT.c test.c + +test-std-M4253: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) -DDSFMT_MEXP=4253 -o $@ dSFMT.c test.c + +test-alti-M4253: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(ALTIFLAGS) -DDSFMT_MEXP=4253 -o $@ dSFMT.c test.c + +test-sse2-M4253: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(SSE2FLAGS) -DDSFMT_MEXP=4253 -o $@ dSFMT.c test.c + +test-std-M11213: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) -DDSFMT_MEXP=11213 -o $@ dSFMT.c test.c + +test-alti-M11213: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(ALTIFLAGS) -DDSFMT_MEXP=11213 -o $@ dSFMT.c test.c + +test-sse2-M11213: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(SSE2FLAGS) -DDSFMT_MEXP=11213 -o $@ dSFMT.c test.c + +test-std-M19937: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) -DDSFMT_MEXP=19937 -o $@ dSFMT.c test.c + +test-alti-M19937: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(ALTIFLAGS) -DDSFMT_MEXP=19937 -o $@ dSFMT.c test.c + +test-sse2-M19937: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(SSE2FLAGS) -DDSFMT_MEXP=19937 -o $@ dSFMT.c test.c + +test-std-M44497: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) -DDSFMT_MEXP=44497 -o $@ dSFMT.c test.c + +test-alti-M44497: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(ALTIFLAGS) -DDSFMT_MEXP=44497 -o $@ dSFMT.c test.c + +test-sse2-M44497: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(SSE2FLAGS) -DDSFMT_MEXP=44497 -o $@ dSFMT.c test.c + +test-std-M86243: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) -DDSFMT_MEXP=86243 -o $@ dSFMT.c test.c + +test-alti-M86243: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(ALTIFLAGS) -DDSFMT_MEXP=86243 -o $@ dSFMT.c test.c + +test-sse2-M86243: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(SSE2FLAGS) -DDSFMT_MEXP=86243 -o $@ dSFMT.c test.c + +test-std-M132049: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) -DDSFMT_MEXP=132049 -o $@ dSFMT.c test.c + +test-alti-M132049: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(ALTIFLAGS) -DDSFMT_MEXP=132049 -o $@ dSFMT.c test.c + +test-sse2-M132049: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(SSE2FLAGS) -DDSFMT_MEXP=132049 -o $@ dSFMT.c test.c + +test-std-M216091: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) -DDSFMT_MEXP=216091 -o $@ dSFMT.c test.c + +test-alti-M216091: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(ALTIFLAGS) -DDSFMT_MEXP=216091 -o $@ dSFMT.c test.c + +test-sse2-M216091: test.c dSFMT.c dSFMT.h + $(CC) $(CCFLAGS) $(SSE2FLAGS) -DDSFMT_MEXP=216091 -o $@ dSFMT.c test.c + +.c.o: + $(CC) $(CCFLAGS) -c $< + +clean: + rm -f *.o *~ test-*-M* diff --git a/apps/medlda_release/dSFMT/README.jp.txt b/apps/medlda_release/dSFMT/README.jp.txt new file mode 100644 index 0000000..548f1b0 --- /dev/null +++ b/apps/medlda_release/dSFMT/README.jp.txt @@ -0,0 +1,52 @@ + ================================================================= + dSFMT ver. 2.1.1 + 2011.11.10 + + double precision SIMD oriented Fast Mersenne Twister(dSFMT) + based on IEEE 754 floating point format. + + Mutsuo Saito (Hiroshima University) and + Makoto Matsumoto (Hiroshima University) + + Copyright (C) 2007, 2008, 2009 Mutsuo Saito, Makoto Matsumoto and + Hiroshima University. + Copyright (C) 2011 Mutsuo Saito, Makoto Matsumoto, Hiroshima + University and The University of Tokyo. + All rights reserved. + + The (modified) BSD License is applied to this software, see + LICENSE.txt + ================================================================= + + ドキュメントは、たとえ英語が文法的に正しくない場合でも、英語版が正式な + ものです。 + + dSFMT2.0 および 2.1 はdSFMT1.x とは疑似乱数生成の漸化式が違います。つまり、 + dSFMT1.xと同じ初期値を与えても異なる疑似乱数列を生成します。 + + doxygen によって生成されたドキュメント（英語）が、html ディレクトリの + 下にあるので参照してください。 + + このプログラムは IEEE754 形式の浮動小数点数を使用しているシステムでの + み動作します。 + + このプログラムは、C言語の構造体を使用しています。したがって、それをう + まく使えば、スレッド毎に別々の疑似乱数列を利用することができます。しか + し、dSFMT.cのコンパイル時と異なるDSFMT_MEXPをユーザープログラムのコン + パイル時に指定すると、問題が発生します。（スピードを犠牲にして、パラメー + タを全部構造体に入れるという方法もありますが、ここではスピードを優先し + ました） + + とりあえずテストプログラムを走らせてみたいという人は、html ディレクト + リの下のhowto-compile.html（英語）をみて下さい。CPU がビッグエンディア + ンの場合は、注意が必要です。事前定義プリプロセッサマクロによって、エン + ディアンの判定をしていますが、明示的に DSFMT_BIG_ENDIAN マクロを定義し + た方が安全だと思います。 + + ソースコードを変更したりしなかったりしてこのプログラムを再配布したい人 + は、LICENSE.txt（英語）を読んで下さい。 + + ファイルに変更を加えて再配布する場合は、どうか、配布物の中にあなたの連 + 絡先を書いておいて、問題があったときは、私たちではなく、あなたにまず連 + 絡するように利用者に伝えて下さい。 + diff --git a/apps/medlda_release/dSFMT/README.txt b/apps/medlda_release/dSFMT/README.txt new file mode 100644 index 0000000..e45aee4 --- /dev/null +++ b/apps/medlda_release/dSFMT/README.txt @@ -0,0 +1,41 @@ + ================================================================= + dSFMT ver. 2.2.1 + 2011.11.10 + + double precision SIMD oriented Fast Mersenne Twister(dSFMT) + based on IEEE 754 floating point format. + + Mutsuo Saito (Hiroshima University) and + Makoto Matsumoto (Hiroshima University) + + Copyright (C) 2007, 2008, 2009 Mutsuo Saito, Makoto Matsumoto and + Hiroshima University. + Copyright (C) 2011, 2013 Mutsuo Saito, Makoto Matsumoto, Hiroshima + University and The University of Tokyo. + All rights reserved. + + The (modified) BSD License is applied to this software, see + LICENSE.txt + ================================================================= + The documents written in English is the official one. + + dSFMT ver. 2.0 and ver. 2.1 are completely different from dSFMT ver 1.xx. + The algorithm is changed. + + This program only works on systems which have IEEE754 floating point + format. + + This version uses `struct' of C language. + Don't use different DSFMT_MEXP for compiling dSFMT.c and your program. + + To see documents, see html/index.html. + + To make test program, see html/howto-compile.html. + If your CPU is BIG ENDIAN and your compiler is not gcc, + define DSFMT_BIG_ENDIAN preprocessor macro, please. + + If you want to redistribute and/or change source files, see LICENSE.txt. + + When you change these files and redistribute them, PLEASE write your + e-mail address in redistribution and write to contact YOU first if + users of your changed source encounter troubles. diff --git a/apps/medlda_release/dSFMT/check b/apps/medlda_release/dSFMT/check new file mode 100755 index 0000000..ef56d57 --- /dev/null +++ b/apps/medlda_release/dSFMT/check @@ -0,0 +1,18 @@ +#!/bin/sh +prefix=$1 +tmp=tmp.$$ +exps="521 1279 2203 4253 11213 19937 44497 86243 132049 216091" +for mexp in $exps; do + compare=dSFMT.${mexp}.out.txt + command=${prefix}-M${mexp} + ./$command -v > $tmp + if diff -q -w $tmp $compare; then + echo $command output check OK + rm -f $tmp + else + echo $command output check NG! + rm -f $tmp + exit 1 + fi +done +exit 0 diff --git a/apps/medlda_release/dSFMT/check.sh b/apps/medlda_release/dSFMT/check.sh new file mode 100755 index 0000000..ef56d57 --- /dev/null +++ b/apps/medlda_release/dSFMT/check.sh @@ -0,0 +1,18 @@ +#!/bin/sh +prefix=$1 +tmp=tmp.$$ +exps="521 1279 2203 4253 11213 19937 44497 86243 132049 216091" +for mexp in $exps; do + compare=dSFMT.${mexp}.out.txt + command=${prefix}-M${mexp} + ./$command -v > $tmp + if diff -q -w $tmp $compare; then + echo $command output check OK + rm -f $tmp + else + echo $command output check NG! + rm -f $tmp + exit 1 + fi +done +exit 0 diff --git a/apps/medlda_release/dSFMT/dSFMT-common.h b/apps/medlda_release/dSFMT/dSFMT-common.h new file mode 100644 index 0000000..30c26c0 --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-common.h @@ -0,0 +1,115 @@ +#pragma once +/** + * @file dSFMT-common.h + * + * @brief SIMD oriented Fast Mersenne Twister(SFMT) pseudorandom + * number generator with jump function. This file includes common functions + * used in random number generation and jump. + * + * @author Mutsuo Saito (Hiroshima University) + * @author Makoto Matsumoto (The University of Tokyo) + * + * Copyright (C) 2006, 2007 Mutsuo Saito, Makoto Matsumoto and Hiroshima + * University. + * Copyright (C) 2012 Mutsuo Saito, Makoto Matsumoto, Hiroshima + * University and The University of Tokyo. + * All rights reserved. + * + * The 3-clause BSD License is applied to this software, see + * LICENSE.txt + */ +#ifndef DSFMT_COMMON_H +#define DSFMT_COMMON_H + +#include "dSFMT.h" + +#if defined(HAVE_SSE2) +# include +union X128I_T { + uint64_t u[2]; + __m128i i128; +}; +union X128D_T { + double d[2]; + __m128d d128; +}; +/** mask data for sse2 */ +static const union X128I_T sse2_param_mask = {{DSFMT_MSK1, DSFMT_MSK2}}; +#endif + +#if defined(HAVE_ALTIVEC) +inline static void do_recursion(w128_t *r, w128_t *a, w128_t * b, + w128_t *lung) { + const vector unsigned char sl1 = ALTI_SL1; + const vector unsigned char sl1_perm = ALTI_SL1_PERM; + const vector unsigned int sl1_msk = ALTI_SL1_MSK; + const vector unsigned char sr1 = ALTI_SR; + const vector unsigned char sr1_perm = ALTI_SR_PERM; + const vector unsigned int sr1_msk = ALTI_SR_MSK; + const vector unsigned char perm = ALTI_PERM; + const vector unsigned int msk1 = ALTI_MSK; + vector unsigned int w, x, y, z; + + z = a->s; + w = lung->s; + x = vec_perm(w, (vector unsigned int)perm, perm); + y = vec_perm(z, (vector unsigned int)sl1_perm, sl1_perm); + y = vec_sll(y, sl1); + y = vec_and(y, sl1_msk); + w = vec_xor(x, b->s); + w = vec_xor(w, y); + x = vec_perm(w, (vector unsigned int)sr1_perm, sr1_perm); + x = vec_srl(x, sr1); + x = vec_and(x, sr1_msk); + y = vec_and(w, msk1); + z = vec_xor(z, y); + r->s = vec_xor(z, x); + lung->s = w; +} +#elif defined(HAVE_SSE2) +/** + * This function represents the recursion formula. + * @param r output 128-bit + * @param a a 128-bit part of the internal state array + * @param b a 128-bit part of the internal state array + * @param d a 128-bit part of the internal state array (I/O) + */ +inline static void do_recursion(w128_t *r, w128_t *a, w128_t *b, w128_t *u) { + __m128i v, w, x, y, z; + + x = a->si; + z = _mm_slli_epi64(x, DSFMT_SL1); + y = _mm_shuffle_epi32(u->si, SSE2_SHUFF); + z = _mm_xor_si128(z, b->si); + y = _mm_xor_si128(y, z); + + v = _mm_srli_epi64(y, DSFMT_SR); + w = _mm_and_si128(y, sse2_param_mask.i128); + v = _mm_xor_si128(v, x); + v = _mm_xor_si128(v, w); + r->si = v; + u->si = y; +} +#else +/** + * This function represents the recursion formula. + * @param r output 128-bit + * @param a a 128-bit part of the internal state array + * @param b a 128-bit part of the internal state array + * @param lung a 128-bit part of the internal state array (I/O) + */ +inline static void do_recursion(w128_t *r, w128_t *a, w128_t * b, + w128_t *lung) { + uint64_t t0, t1, L0, L1; + + t0 = a->u[0]; + t1 = a->u[1]; + L0 = lung->u[0]; + L1 = lung->u[1]; + lung->u[0] = (t0 << DSFMT_SL1) ^ (L1 >> 32) ^ (L1 << 32) ^ b->u[0]; + lung->u[1] = (t1 << DSFMT_SL1) ^ (L0 >> 32) ^ (L0 << 32) ^ b->u[1]; + r->u[0] = (lung->u[0] >> DSFMT_SR) ^ (lung->u[0] & DSFMT_MSK1) ^ t0; + r->u[1] = (lung->u[1] >> DSFMT_SR) ^ (lung->u[1] & DSFMT_MSK2) ^ t1; +} +#endif +#endif diff --git a/apps/medlda_release/dSFMT/dSFMT-params.h b/apps/medlda_release/dSFMT/dSFMT-params.h new file mode 100644 index 0000000..aa02478 --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-params.h @@ -0,0 +1,87 @@ +#ifndef DSFMT_PARAMS_H +#define DSFMT_PARAMS_H + +#include "dSFMT.h" + +/*---------------------- + the parameters of DSFMT + following definitions are in dSFMT-paramsXXXX.h file. + ----------------------*/ +/** the pick up position of the array. +#define DSFMT_POS1 122 +*/ + +/** the parameter of shift left as four 32-bit registers. +#define DSFMT_SL1 18 + */ + +/** the parameter of shift right as four 32-bit registers. +#define DSFMT_SR1 12 +*/ + +/** A bitmask, used in the recursion. These parameters are introduced + * to break symmetry of SIMD. +#define DSFMT_MSK1 (uint64_t)0xdfffffefULL +#define DSFMT_MSK2 (uint64_t)0xddfecb7fULL +*/ + +/** These definitions are part of a 128-bit period certification vector. +#define DSFMT_PCV1 UINT64_C(0x00000001) +#define DSFMT_PCV2 UINT64_C(0x00000000) +*/ + +#define DSFMT_LOW_MASK UINT64_C(0x000FFFFFFFFFFFFF) +#define DSFMT_HIGH_CONST UINT64_C(0x3FF0000000000000) +#define DSFMT_SR 12 + +/* for sse2 */ +#if defined(HAVE_SSE2) + #define SSE2_SHUFF 0x1b +#elif defined(HAVE_ALTIVEC) + #if defined(__APPLE__) /* For OSX */ + #define ALTI_SR (vector unsigned char)(4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4) + #define ALTI_SR_PERM \ + (vector unsigned char)(15,0,1,2,3,4,5,6,15,8,9,10,11,12,13,14) + #define ALTI_SR_MSK \ + (vector unsigned int)(0x000fffffU,0xffffffffU,0x000fffffU,0xffffffffU) + #define ALTI_PERM \ + (vector unsigned char)(12,13,14,15,8,9,10,11,4,5,6,7,0,1,2,3) + #else + #define ALTI_SR {4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4} + #define ALTI_SR_PERM {15,0,1,2,3,4,5,6,15,8,9,10,11,12,13,14} + #define ALTI_SR_MSK {0x000fffffU,0xffffffffU,0x000fffffU,0xffffffffU} + #define ALTI_PERM {12,13,14,15,8,9,10,11,4,5,6,7,0,1,2,3} + #endif +#endif + +#if DSFMT_MEXP == 521 + #include "dSFMT-params521.h" +#elif DSFMT_MEXP == 1279 + #include "dSFMT-params1279.h" +#elif DSFMT_MEXP == 2203 + #include "dSFMT-params2203.h" +#elif DSFMT_MEXP == 4253 + #include "dSFMT-params4253.h" +#elif DSFMT_MEXP == 11213 + #include "dSFMT-params11213.h" +#elif DSFMT_MEXP == 19937 + #include "dSFMT-params19937.h" +#elif DSFMT_MEXP == 44497 + #include "dSFMT-params44497.h" +#elif DSFMT_MEXP == 86243 + #include "dSFMT-params86243.h" +#elif DSFMT_MEXP == 132049 + #include "dSFMT-params132049.h" +#elif DSFMT_MEXP == 216091 + #include "dSFMT-params216091.h" +#else +#ifdef __GNUC__ + #error "DSFMT_MEXP is not valid." + #undef DSFMT_MEXP +#else + #undef DSFMT_MEXP +#endif + +#endif + +#endif /* DSFMT_PARAMS_H */ diff --git a/apps/medlda_release/dSFMT/dSFMT-params11213.h b/apps/medlda_release/dSFMT/dSFMT-params11213.h new file mode 100644 index 0000000..4670e9b --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-params11213.h @@ -0,0 +1,40 @@ +#ifndef DSFMT_PARAMS11213_H +#define DSFMT_PARAMS11213_H + +/* #define DSFMT_N 107 */ +/* #define DSFMT_MAXDEGREE 11256 */ +#define DSFMT_POS1 37 +#define DSFMT_SL1 19 +#define DSFMT_MSK1 UINT64_C(0x000ffffffdf7fffd) +#define DSFMT_MSK2 UINT64_C(0x000dfffffff6bfff) +#define DSFMT_MSK32_1 0x000fffffU +#define DSFMT_MSK32_2 0xfdf7fffdU +#define DSFMT_MSK32_3 0x000dffffU +#define DSFMT_MSK32_4 0xfff6bfffU +#define DSFMT_FIX1 UINT64_C(0xd0ef7b7c75b06793) +#define DSFMT_FIX2 UINT64_C(0x9c50ff4caae0a641) +#define DSFMT_PCV1 UINT64_C(0x8234c51207c80000) +#define DSFMT_PCV2 UINT64_C(0x0000000000000001) +#define DSFMT_IDSTR "dSFMT2-11213:37-19:ffffffdf7fffd-dfffffff6bfff" + + +/* PARAMETERS FOR ALTIVEC */ +#if defined(__APPLE__) /* For OSX */ + #define ALTI_SL1 (vector unsigned char)(3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3) + #define ALTI_SL1_PERM \ + (vector unsigned char)(2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1) + #define ALTI_SL1_MSK \ + (vector unsigned int)(0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U) + #define ALTI_MSK (vector unsigned int)(DSFMT_MSK32_1, \ + DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4) +#else /* For OTHER OSs(Linux?) */ + #define ALTI_SL1 {3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3} + #define ALTI_SL1_PERM \ + {2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1} + #define ALTI_SL1_MSK \ + {0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U} + #define ALTI_MSK \ + {DSFMT_MSK32_1, DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4} +#endif + +#endif /* DSFMT_PARAMS11213_H */ diff --git a/apps/medlda_release/dSFMT/dSFMT-params1279.h b/apps/medlda_release/dSFMT/dSFMT-params1279.h new file mode 100644 index 0000000..78537a2 --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-params1279.h @@ -0,0 +1,40 @@ +#ifndef DSFMT_PARAMS1279_H +#define DSFMT_PARAMS1279_H + +/* #define DSFMT_N 12 */ +/* #define DSFMT_MAXDEGREE 1376 */ +#define DSFMT_POS1 9 +#define DSFMT_SL1 19 +#define DSFMT_MSK1 UINT64_C(0x000efff7ffddffee) +#define DSFMT_MSK2 UINT64_C(0x000fbffffff77fff) +#define DSFMT_MSK32_1 0x000efff7U +#define DSFMT_MSK32_2 0xffddffeeU +#define DSFMT_MSK32_3 0x000fbfffU +#define DSFMT_MSK32_4 0xfff77fffU +#define DSFMT_FIX1 UINT64_C(0xb66627623d1a31be) +#define DSFMT_FIX2 UINT64_C(0x04b6c51147b6109b) +#define DSFMT_PCV1 UINT64_C(0x7049f2da382a6aeb) +#define DSFMT_PCV2 UINT64_C(0xde4ca84a40000001) +#define DSFMT_IDSTR "dSFMT2-1279:9-19:efff7ffddffee-fbffffff77fff" + + +/* PARAMETERS FOR ALTIVEC */ +#if defined(__APPLE__) /* For OSX */ + #define ALTI_SL1 (vector unsigned char)(3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3) + #define ALTI_SL1_PERM \ + (vector unsigned char)(2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1) + #define ALTI_SL1_MSK \ + (vector unsigned int)(0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U) + #define ALTI_MSK (vector unsigned int)(DSFMT_MSK32_1, \ + DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4) +#else /* For OTHER OSs(Linux?) */ + #define ALTI_SL1 {3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3} + #define ALTI_SL1_PERM \ + {2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1} + #define ALTI_SL1_MSK \ + {0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U} + #define ALTI_MSK \ + {DSFMT_MSK32_1, DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4} +#endif + +#endif /* DSFMT_PARAMS1279_H */ diff --git a/apps/medlda_release/dSFMT/dSFMT-params132049.h b/apps/medlda_release/dSFMT/dSFMT-params132049.h new file mode 100644 index 0000000..35b96ce --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-params132049.h @@ -0,0 +1,40 @@ +#ifndef DSFMT_PARAMS132049_H +#define DSFMT_PARAMS132049_H + +/* #define DSFMT_N 1269 */ +/* #define DSFMT_MAXDEGREE 132104 */ +#define DSFMT_POS1 371 +#define DSFMT_SL1 23 +#define DSFMT_MSK1 UINT64_C(0x000fb9f4eff4bf77) +#define DSFMT_MSK2 UINT64_C(0x000fffffbfefff37) +#define DSFMT_MSK32_1 0x000fb9f4U +#define DSFMT_MSK32_2 0xeff4bf77U +#define DSFMT_MSK32_3 0x000fffffU +#define DSFMT_MSK32_4 0xbfefff37U +#define DSFMT_FIX1 UINT64_C(0x4ce24c0e4e234f3b) +#define DSFMT_FIX2 UINT64_C(0x62612409b5665c2d) +#define DSFMT_PCV1 UINT64_C(0x181232889145d000) +#define DSFMT_PCV2 UINT64_C(0x0000000000000001) +#define DSFMT_IDSTR "dSFMT2-132049:371-23:fb9f4eff4bf77-fffffbfefff37" + + +/* PARAMETERS FOR ALTIVEC */ +#if defined(__APPLE__) /* For OSX */ + #define ALTI_SL1 (vector unsigned char)(7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7) + #define ALTI_SL1_PERM \ + (vector unsigned char)(2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1) + #define ALTI_SL1_MSK \ + (vector unsigned int)(0xffffffffU,0xff800000U,0xffffffffU,0xff800000U) + #define ALTI_MSK (vector unsigned int)(DSFMT_MSK32_1, \ + DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4) +#else /* For OTHER OSs(Linux?) */ + #define ALTI_SL1 {7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7} + #define ALTI_SL1_PERM \ + {2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1} + #define ALTI_SL1_MSK \ + {0xffffffffU,0xff800000U,0xffffffffU,0xff800000U} + #define ALTI_MSK \ + {DSFMT_MSK32_1, DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4} +#endif + +#endif /* DSFMT_PARAMS132049_H */ diff --git a/apps/medlda_release/dSFMT/dSFMT-params19937.h b/apps/medlda_release/dSFMT/dSFMT-params19937.h new file mode 100644 index 0000000..a600b0d --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-params19937.h @@ -0,0 +1,40 @@ +#ifndef DSFMT_PARAMS19937_H +#define DSFMT_PARAMS19937_H + +/* #define DSFMT_N 191 */ +/* #define DSFMT_MAXDEGREE 19992 */ +#define DSFMT_POS1 117 +#define DSFMT_SL1 19 +#define DSFMT_MSK1 UINT64_C(0x000ffafffffffb3f) +#define DSFMT_MSK2 UINT64_C(0x000ffdfffc90fffd) +#define DSFMT_MSK32_1 0x000ffaffU +#define DSFMT_MSK32_2 0xfffffb3fU +#define DSFMT_MSK32_3 0x000ffdffU +#define DSFMT_MSK32_4 0xfc90fffdU +#define DSFMT_FIX1 UINT64_C(0x90014964b32f4329) +#define DSFMT_FIX2 UINT64_C(0x3b8d12ac548a7c7a) +#define DSFMT_PCV1 UINT64_C(0x3d84e1ac0dc82880) +#define DSFMT_PCV2 UINT64_C(0x0000000000000001) +#define DSFMT_IDSTR "dSFMT2-19937:117-19:ffafffffffb3f-ffdfffc90fffd" + + +/* PARAMETERS FOR ALTIVEC */ +#if defined(__APPLE__) /* For OSX */ + #define ALTI_SL1 (vector unsigned char)(3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3) + #define ALTI_SL1_PERM \ + (vector unsigned char)(2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1) + #define ALTI_SL1_MSK \ + (vector unsigned int)(0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U) + #define ALTI_MSK (vector unsigned int)(DSFMT_MSK32_1, \ + DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4) +#else /* For OTHER OSs(Linux?) */ + #define ALTI_SL1 {3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3} + #define ALTI_SL1_PERM \ + {2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1} + #define ALTI_SL1_MSK \ + {0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U} + #define ALTI_MSK \ + {DSFMT_MSK32_1, DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4} +#endif + +#endif /* DSFMT_PARAMS19937_H */ diff --git a/apps/medlda_release/dSFMT/dSFMT-params216091.h b/apps/medlda_release/dSFMT/dSFMT-params216091.h new file mode 100644 index 0000000..c9e1943 --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-params216091.h @@ -0,0 +1,40 @@ +#ifndef DSFMT_PARAMS216091_H +#define DSFMT_PARAMS216091_H + +/* #define DSFMT_N 2077 */ +/* #define DSFMT_MAXDEGREE 216136 */ +#define DSFMT_POS1 1890 +#define DSFMT_SL1 23 +#define DSFMT_MSK1 UINT64_C(0x000bf7df7fefcfff) +#define DSFMT_MSK2 UINT64_C(0x000e7ffffef737ff) +#define DSFMT_MSK32_1 0x000bf7dfU +#define DSFMT_MSK32_2 0x7fefcfffU +#define DSFMT_MSK32_3 0x000e7fffU +#define DSFMT_MSK32_4 0xfef737ffU +#define DSFMT_FIX1 UINT64_C(0xd7f95a04764c27d7) +#define DSFMT_FIX2 UINT64_C(0x6a483861810bebc2) +#define DSFMT_PCV1 UINT64_C(0x3af0a8f3d5600000) +#define DSFMT_PCV2 UINT64_C(0x0000000000000001) +#define DSFMT_IDSTR "dSFMT2-216091:1890-23:bf7df7fefcfff-e7ffffef737ff" + + +/* PARAMETERS FOR ALTIVEC */ +#if defined(__APPLE__) /* For OSX */ + #define ALTI_SL1 (vector unsigned char)(7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7) + #define ALTI_SL1_PERM \ + (vector unsigned char)(2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1) + #define ALTI_SL1_MSK \ + (vector unsigned int)(0xffffffffU,0xff800000U,0xffffffffU,0xff800000U) + #define ALTI_MSK (vector unsigned int)(DSFMT_MSK32_1, \ + DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4) +#else /* For OTHER OSs(Linux?) */ + #define ALTI_SL1 {7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7} + #define ALTI_SL1_PERM \ + {2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1} + #define ALTI_SL1_MSK \ + {0xffffffffU,0xff800000U,0xffffffffU,0xff800000U} + #define ALTI_MSK \ + {DSFMT_MSK32_1, DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4} +#endif + +#endif /* DSFMT_PARAMS216091_H */ diff --git a/apps/medlda_release/dSFMT/dSFMT-params2203.h b/apps/medlda_release/dSFMT/dSFMT-params2203.h new file mode 100644 index 0000000..7414834 --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-params2203.h @@ -0,0 +1,40 @@ +#ifndef DSFMT_PARAMS2203_H +#define DSFMT_PARAMS2203_H + +/* #define DSFMT_N 20 */ +/* #define DSFMT_MAXDEGREE 2208 */ +#define DSFMT_POS1 7 +#define DSFMT_SL1 19 +#define DSFMT_MSK1 UINT64_C(0x000fdffff5edbfff) +#define DSFMT_MSK2 UINT64_C(0x000f77fffffffbfe) +#define DSFMT_MSK32_1 0x000fdfffU +#define DSFMT_MSK32_2 0xf5edbfffU +#define DSFMT_MSK32_3 0x000f77ffU +#define DSFMT_MSK32_4 0xfffffbfeU +#define DSFMT_FIX1 UINT64_C(0xb14e907a39338485) +#define DSFMT_FIX2 UINT64_C(0xf98f0735c637ef90) +#define DSFMT_PCV1 UINT64_C(0x8000000000000000) +#define DSFMT_PCV2 UINT64_C(0x0000000000000001) +#define DSFMT_IDSTR "dSFMT2-2203:7-19:fdffff5edbfff-f77fffffffbfe" + + +/* PARAMETERS FOR ALTIVEC */ +#if defined(__APPLE__) /* For OSX */ + #define ALTI_SL1 (vector unsigned char)(3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3) + #define ALTI_SL1_PERM \ + (vector unsigned char)(2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1) + #define ALTI_SL1_MSK \ + (vector unsigned int)(0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U) + #define ALTI_MSK (vector unsigned int)(DSFMT_MSK32_1, \ + DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4) +#else /* For OTHER OSs(Linux?) */ + #define ALTI_SL1 {3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3} + #define ALTI_SL1_PERM \ + {2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1} + #define ALTI_SL1_MSK \ + {0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U} + #define ALTI_MSK \ + {DSFMT_MSK32_1, DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4} +#endif + +#endif /* DSFMT_PARAMS2203_H */ diff --git a/apps/medlda_release/dSFMT/dSFMT-params4253.h b/apps/medlda_release/dSFMT/dSFMT-params4253.h new file mode 100644 index 0000000..34ef4c1 --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-params4253.h @@ -0,0 +1,40 @@ +#ifndef DSFMT_PARAMS4253_H +#define DSFMT_PARAMS4253_H + +/* #define DSFMT_N 40 */ +/* #define DSFMT_MAXDEGREE 4288 */ +#define DSFMT_POS1 19 +#define DSFMT_SL1 19 +#define DSFMT_MSK1 UINT64_C(0x0007b7fffef5feff) +#define DSFMT_MSK2 UINT64_C(0x000ffdffeffefbfc) +#define DSFMT_MSK32_1 0x0007b7ffU +#define DSFMT_MSK32_2 0xfef5feffU +#define DSFMT_MSK32_3 0x000ffdffU +#define DSFMT_MSK32_4 0xeffefbfcU +#define DSFMT_FIX1 UINT64_C(0x80901b5fd7a11c65) +#define DSFMT_FIX2 UINT64_C(0x5a63ff0e7cb0ba74) +#define DSFMT_PCV1 UINT64_C(0x1ad277be12000000) +#define DSFMT_PCV2 UINT64_C(0x0000000000000001) +#define DSFMT_IDSTR "dSFMT2-4253:19-19:7b7fffef5feff-ffdffeffefbfc" + + +/* PARAMETERS FOR ALTIVEC */ +#if defined(__APPLE__) /* For OSX */ + #define ALTI_SL1 (vector unsigned char)(3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3) + #define ALTI_SL1_PERM \ + (vector unsigned char)(2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1) + #define ALTI_SL1_MSK \ + (vector unsigned int)(0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U) + #define ALTI_MSK (vector unsigned int)(DSFMT_MSK32_1, \ + DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4) +#else /* For OTHER OSs(Linux?) */ + #define ALTI_SL1 {3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3} + #define ALTI_SL1_PERM \ + {2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1} + #define ALTI_SL1_MSK \ + {0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U} + #define ALTI_MSK \ + {DSFMT_MSK32_1, DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4} +#endif + +#endif /* DSFMT_PARAMS4253_H */ diff --git a/apps/medlda_release/dSFMT/dSFMT-params44497.h b/apps/medlda_release/dSFMT/dSFMT-params44497.h new file mode 100644 index 0000000..03b607b --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-params44497.h @@ -0,0 +1,40 @@ +#ifndef DSFMT_PARAMS44497_H +#define DSFMT_PARAMS44497_H + +/* #define DSFMT_N 427 */ +/* #define DSFMT_MAXDEGREE 44536 */ +#define DSFMT_POS1 304 +#define DSFMT_SL1 19 +#define DSFMT_MSK1 UINT64_C(0x000ff6dfffffffef) +#define DSFMT_MSK2 UINT64_C(0x0007ffdddeefff6f) +#define DSFMT_MSK32_1 0x000ff6dfU +#define DSFMT_MSK32_2 0xffffffefU +#define DSFMT_MSK32_3 0x0007ffddU +#define DSFMT_MSK32_4 0xdeefff6fU +#define DSFMT_FIX1 UINT64_C(0x75d910f235f6e10e) +#define DSFMT_FIX2 UINT64_C(0x7b32158aedc8e969) +#define DSFMT_PCV1 UINT64_C(0x4c3356b2a0000000) +#define DSFMT_PCV2 UINT64_C(0x0000000000000001) +#define DSFMT_IDSTR "dSFMT2-44497:304-19:ff6dfffffffef-7ffdddeefff6f" + + +/* PARAMETERS FOR ALTIVEC */ +#if defined(__APPLE__) /* For OSX */ + #define ALTI_SL1 (vector unsigned char)(3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3) + #define ALTI_SL1_PERM \ + (vector unsigned char)(2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1) + #define ALTI_SL1_MSK \ + (vector unsigned int)(0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U) + #define ALTI_MSK (vector unsigned int)(DSFMT_MSK32_1, \ + DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4) +#else /* For OTHER OSs(Linux?) */ + #define ALTI_SL1 {3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3} + #define ALTI_SL1_PERM \ + {2,3,4,5,6,7,30,30,10,11,12,13,14,15,0,1} + #define ALTI_SL1_MSK \ + {0xffffffffU,0xfff80000U,0xffffffffU,0xfff80000U} + #define ALTI_MSK \ + {DSFMT_MSK32_1, DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4} +#endif + +#endif /* DSFMT_PARAMS44497_H */ diff --git a/apps/medlda_release/dSFMT/dSFMT-params521.h b/apps/medlda_release/dSFMT/dSFMT-params521.h new file mode 100644 index 0000000..f2351ef --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-params521.h @@ -0,0 +1,40 @@ +#ifndef DSFMT_PARAMS521_H +#define DSFMT_PARAMS521_H + +/* #define DSFMT_N 4 */ +/* #define DSFMT_MAXDEGREE 544 */ +#define DSFMT_POS1 3 +#define DSFMT_SL1 25 +#define DSFMT_MSK1 UINT64_C(0x000fbfefff77efff) +#define DSFMT_MSK2 UINT64_C(0x000ffeebfbdfbfdf) +#define DSFMT_MSK32_1 0x000fbfefU +#define DSFMT_MSK32_2 0xff77efffU +#define DSFMT_MSK32_3 0x000ffeebU +#define DSFMT_MSK32_4 0xfbdfbfdfU +#define DSFMT_FIX1 UINT64_C(0xcfb393d661638469) +#define DSFMT_FIX2 UINT64_C(0xc166867883ae2adb) +#define DSFMT_PCV1 UINT64_C(0xccaa588000000000) +#define DSFMT_PCV2 UINT64_C(0x0000000000000001) +#define DSFMT_IDSTR "dSFMT2-521:3-25:fbfefff77efff-ffeebfbdfbfdf" + + +/* PARAMETERS FOR ALTIVEC */ +#if defined(__APPLE__) /* For OSX */ + #define ALTI_SL1 (vector unsigned char)(1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1) + #define ALTI_SL1_PERM \ + (vector unsigned char)(3,4,5,6,7,29,29,29,11,12,13,14,15,0,1,2) + #define ALTI_SL1_MSK \ + (vector unsigned int)(0xffffffffU,0xfe000000U,0xffffffffU,0xfe000000U) + #define ALTI_MSK (vector unsigned int)(DSFMT_MSK32_1, \ + DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4) +#else /* For OTHER OSs(Linux?) */ + #define ALTI_SL1 {1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1} + #define ALTI_SL1_PERM \ + {3,4,5,6,7,29,29,29,11,12,13,14,15,0,1,2} + #define ALTI_SL1_MSK \ + {0xffffffffU,0xfe000000U,0xffffffffU,0xfe000000U} + #define ALTI_MSK \ + {DSFMT_MSK32_1, DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4} +#endif + +#endif /* DSFMT_PARAMS521_H */ diff --git a/apps/medlda_release/dSFMT/dSFMT-params86243.h b/apps/medlda_release/dSFMT/dSFMT-params86243.h new file mode 100644 index 0000000..ca1a5fb --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT-params86243.h @@ -0,0 +1,40 @@ +#ifndef DSFMT_PARAMS86243_H +#define DSFMT_PARAMS86243_H + +/* #define DSFMT_N 829 */ +/* #define DSFMT_MAXDEGREE 86344 */ +#define DSFMT_POS1 231 +#define DSFMT_SL1 13 +#define DSFMT_MSK1 UINT64_C(0x000ffedff6ffffdf) +#define DSFMT_MSK2 UINT64_C(0x000ffff7fdffff7e) +#define DSFMT_MSK32_1 0x000ffedfU +#define DSFMT_MSK32_2 0xf6ffffdfU +#define DSFMT_MSK32_3 0x000ffff7U +#define DSFMT_MSK32_4 0xfdffff7eU +#define DSFMT_FIX1 UINT64_C(0x1d553e776b975e68) +#define DSFMT_FIX2 UINT64_C(0x648faadf1416bf91) +#define DSFMT_PCV1 UINT64_C(0x5f2cd03e2758a373) +#define DSFMT_PCV2 UINT64_C(0xc0b7eb8410000001) +#define DSFMT_IDSTR "dSFMT2-86243:231-13:ffedff6ffffdf-ffff7fdffff7e" + + +/* PARAMETERS FOR ALTIVEC */ +#if defined(__APPLE__) /* For OSX */ + #define ALTI_SL1 (vector unsigned char)(5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5) + #define ALTI_SL1_PERM \ + (vector unsigned char)(1,2,3,4,5,6,7,31,9,10,11,12,13,14,15,0) + #define ALTI_SL1_MSK \ + (vector unsigned int)(0xffffffffU,0xffffe000U,0xffffffffU,0xffffe000U) + #define ALTI_MSK (vector unsigned int)(DSFMT_MSK32_1, \ + DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4) +#else /* For OTHER OSs(Linux?) */ + #define ALTI_SL1 {5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5} + #define ALTI_SL1_PERM \ + {1,2,3,4,5,6,7,31,9,10,11,12,13,14,15,0} + #define ALTI_SL1_MSK \ + {0xffffffffU,0xffffe000U,0xffffffffU,0xffffe000U} + #define ALTI_MSK \ + {DSFMT_MSK32_1, DSFMT_MSK32_2, DSFMT_MSK32_3, DSFMT_MSK32_4} +#endif + +#endif /* DSFMT_PARAMS86243_H */ diff --git a/apps/medlda_release/dSFMT/dSFMT.11213.out.txt b/apps/medlda_release/dSFMT/dSFMT.11213.out.txt new file mode 100644 index 0000000..61c4aa5 --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT.11213.out.txt @@ -0,0 +1,583 @@ +dSFMT2-11213:37-19:ffffffdf7fffd-dfffffff6bfff +init_gen_rand(0) generated randoms [1, 2) +1.181503558381645 1.731043322943541 1.039986179500985 1.586303905746746 +1.918899855723876 1.440493331081931 1.468391025018997 1.259058360242485 +1.839408810938974 1.996420751003233 1.846963144067767 1.963803534587744 +1.445499501417834 1.483052904846139 1.557763578951618 1.244952423899054 +1.224065364994470 1.156433830240398 1.818558649090364 1.315884741216990 +1.245731114100397 1.634542412135809 1.849194220973292 1.096982813334918 +1.308572615373784 1.689109028874307 1.716796530518651 1.533939061193447 +1.187665847440886 1.684638247947751 1.318375099380660 1.195515752610457 +1.379377673646172 1.530359684929592 1.672110577260798 1.057347765025508 +1.598203304465811 1.547760851680276 1.155030548867774 1.163455314171708 +1.686588701729889 1.467131528042580 1.910994537635679 1.801062698343150 +1.451244021433757 1.474429051886449 1.024295833598315 1.049567410247291 +1.838576436352897 1.029176415288787 1.969845915529520 1.353649254480166 +1.642198012280466 1.555260790070737 1.792704375048717 1.203735306300650 +1.722396082575852 1.906942608752719 1.766642460818205 1.337349940530977 +1.259646190345589 1.152813095855988 1.013025695110487 1.739703070588015 +1.665419509272552 1.778813848638816 1.136187530449853 1.225929339438576 +1.161324255892987 1.350051462017561 1.175119206487224 1.727361484344104 +1.317428745170620 1.382736911436513 1.226254527365948 1.794644575745935 +1.001301922418113 1.332307176657034 1.840328417475729 1.364440213157420 +1.345168857950589 1.384954515757991 1.524665990673269 1.239781870435794 +1.926948501084251 1.850706878375081 1.677740550231558 1.796221876541070 +1.317852601122407 1.406237654174799 1.063975167467764 1.748483980141748 +1.880209456676840 1.267684057777090 1.755542301912846 1.880497906684009 +1.835323044659132 1.441479294190250 1.194004863900302 1.598428394301880 +1.223299115837286 1.244032385809483 1.433255649065323 1.826641078627535 +1.764331975526857 1.323533455693433 1.324018461203187 1.028468600870397 +1.460274579299640 1.483505377200212 1.751714349625352 1.079491545546282 +1.381596356944625 1.005133976509243 1.413468729132887 1.337706313385278 +1.891925256409311 1.342272118229895 1.163447427831138 1.334324193443303 +1.411791088314896 1.651848865335494 1.675229052031225 1.446350996494761 +1.266622124443599 1.958729944890093 1.503419949299578 1.760682833125807 +1.259580196582578 1.076485721116899 1.293906699030576 1.139833348831599 +1.825729271013771 1.587766638363904 1.489976012364503 1.877252905574033 +1.854937382231196 1.733666846060390 1.852758618966330 1.919561368722841 +1.055965417742630 1.361521080982244 1.933579826037271 1.757404604768589 +1.285914087262030 1.187548281883414 1.566783263570936 1.682256446231821 +1.380155154968773 1.307397198151446 1.494087262804365 1.072469326658690 +1.382326089970463 1.292177437679956 1.351278322027925 1.634423439855476 +1.936199876161483 1.119463834340734 1.352945170186627 1.880686034025406 +1.530558314756718 1.708792254834220 1.266908738965653 1.788002531450933 +1.948652114532444 1.757804010641673 1.762456645842164 1.097495269496033 +1.147163749984733 1.576297570824489 1.300325703789508 1.874691144281150 +1.515744739948639 1.345955717292370 1.942681909563451 1.035247578272609 +1.283514135318420 1.314807854232039 1.573322682766725 1.574513774595243 +1.828044573260458 1.712713601027344 1.590726762824644 1.563969138328007 +1.386694795178386 1.522721710964341 1.275713855337409 1.731108683097704 +1.591465887155933 1.513340723963096 1.176801225703059 1.434536351340476 +1.578784855419878 1.301629776104429 1.929926785855622 1.289570728672952 +1.205977720202379 1.003689842045578 1.889008830631370 1.883163232215121 +1.645174992553137 1.252590697312637 1.774495117411565 1.382738491506675 +1.491125536217037 1.912093075248525 1.527519170184104 1.327173264499113 +1.144584409700572 1.261102147402312 1.858761772369285 1.429108301186990 +1.761814622390048 1.240286164631683 1.682233062136794 1.282781911274615 +1.182382109347646 1.692078187148138 1.590771681380315 1.718020109821122 +1.735395393053722 1.293082053131155 1.236726685913177 1.497331614096738 +1.161825786902307 1.182135240069986 1.151823679620760 1.974199765683906 +1.186211880561942 1.259680067543851 1.289615436454359 1.201377177401489 +1.377979874313116 1.862166574208142 1.839943407025350 1.090909260920215 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+1.466208815228885 1.677226418254145 1.954676792590627 1.118677644079673 +1.375764292670719 1.082944211138035 1.527440552380678 1.390923552078622 +init_gen_rand(0) generated randoms [0, 1) +0.181503558381645 0.731043322943541 0.039986179500985 0.586303905746746 +0.918899855723876 0.440493331081931 0.468391025018997 0.259058360242485 +0.839408810938974 0.996420751003233 0.846963144067767 0.963803534587744 +init_gen_rand(1) generated randoms (0, 1] +0.963684745154333 0.571016340205011 0.362082402236948 0.305665917354580 +0.102070317160527 0.403628052066152 0.513761331194790 0.473026425576278 +0.123684867263456 0.525282305477042 0.946619948271145 0.047869079429478 +init_gen_rand(2) generated randoms (0, 1) +0.137049000173775 0.284220403145830 0.575114701527820 0.594856071012208 +0.437047378834815 0.976394699879323 0.655991175454351 0.763642835655244 +0.000441891080732 0.746223655157404 0.893073981410607 0.276879212662776 +init_gen_rand(3) generated randoms [1, 2) +1.498908717922097 1.996180804385135 1.751259447023341 1.049159620877016 +1.087943949836268 1.968563014915355 1.291535597857181 1.805821453753079 +1.933237976926628 1.729762902669877 1.008606516267365 1.314218062844122 +init_gen_rand(4) generated randoms [0, 1) +0.468691303912138 0.027314035537382 0.832781188175840 0.788285376418242 +0.657191631603973 0.191936433141470 0.586377277752353 0.633547163048286 +0.805904348442297 0.752245318309351 0.618248736787129 0.225332749360476 +init_gen_rand(5) generated randoms (0, 1] +0.724679842853917 0.562259855400062 0.665918059898257 0.698340169569271 +0.366131419228391 0.654484201445447 0.516754542591891 0.793145813620681 +0.155173546454173 0.876408204767132 0.157724418133396 0.733108319608067 +init_gen_rand(6) generated randoms (0, 1) +0.166467877031225 0.700555438204047 0.780222245369658 0.728022885908251 +0.009768788375504 0.456580882600894 0.050473225346549 0.629061686159083 +0.369031109721613 0.717734673698406 0.686074482232103 0.882134455762938 +init_gen_rand(7) generated randoms [1, 2) +1.798430643737222 1.516774142609298 1.503684013420146 1.497493250268048 +1.137969718944356 1.096621888782349 1.750074707870874 1.704027223271664 +1.770628129940419 1.719275728746921 1.222876183395513 1.240203448208029 +init_gen_rand(8) generated randoms [0, 1) +0.145594417641605 0.656715012492086 0.882185523874741 0.226020947041445 +0.590380323922954 0.983462923117057 0.469529987627192 0.231611645781400 +0.973616370300120 0.324802877524021 0.549630434253938 0.570100596264959 +init_gen_rand(9) generated randoms (0, 1] +0.943694671600654 0.773663270099821 0.242490632056324 0.821945441236990 +0.332031757624848 0.919053179470680 0.376844827396835 0.349418878946262 +0.944147726053727 0.265269894999606 0.600219718576133 0.844877358030171 +init_gen_rand(10) generated randoms (0, 1) +0.683403460418111 0.343262378501707 0.708413973012067 0.800052307562341 +0.575683916483860 0.533205063872000 0.837524859089275 0.350804458308149 +0.919977921118806 0.991472260425635 0.500855301984413 0.293260706041093 +init_gen_rand(11) generated randoms [1, 2) +1.314259445265223 1.740199849077772 1.488579427855286 1.377105190256387 +1.720288466431272 1.536122386164422 1.980478726649462 1.661702632293279 +1.945223216730766 1.246075034045997 1.440375922859263 1.705912089477020 +init_gen_rand(12) generated randoms [0, 1) +0.673314503765025 0.193823272483514 0.254601399999535 0.889990455094058 +0.120720028715510 0.274773918402688 0.230323910161863 0.771903702918926 +0.786409765475613 0.833413983724388 0.519296207220376 0.405056678812545 +init_gen_rand(13) generated randoms (0, 1] +0.228330703716589 0.083707652845761 0.575000350277484 0.588496558471820 +0.622640405205573 0.625644717036925 0.766380723184564 0.438678639070277 +0.553888390348759 0.865911730246464 0.357472169433473 0.922567467736359 +init_gen_rand(14) generated randoms (0, 1) +0.125457098903114 0.731177944845271 0.859403502644756 0.507418228697383 +0.221078031321711 0.671504688760071 0.389317221571860 0.381880380998315 +0.187696642782292 0.256589812586356 0.848270717523271 0.843199177502377 +init_gen_rand(15) generated randoms [1, 2) +1.060539798047399 1.934181709891972 1.237542016566071 1.576081951714868 +1.589287364382687 1.548617620285070 1.809653414804196 1.524096233269848 +1.181680629743948 1.624330442139056 1.810304640667551 1.105338706297052 +init_gen_rand(16) generated randoms [0, 1) +0.829761691647542 0.802741627292433 0.078346226053278 0.097138031599215 +0.209212082579908 0.471364327218975 0.530504039839123 0.574572482988680 +0.707528517646136 0.457143741639870 0.547916932770332 0.009136005048997 +init_gen_rand(17) generated randoms (0, 1] +0.079816948824546 0.731931626965978 0.077578823514663 0.024651560015970 +0.630587937830447 0.639902945258729 0.034090174724157 0.607493504949063 +0.756911890539818 0.814853236610657 0.167376573599855 0.516192274865681 +init_gen_rand(18) generated randoms (0, 1) +0.687527253386543 0.895829860413485 0.380275802190672 0.142368023689720 +0.329743313213155 0.990066728642289 0.472378043181990 0.543612705262237 +0.174288200490540 0.381221152356904 0.192282899844370 0.983193084821066 +init_gen_rand(19) generated randoms [1, 2) +1.531700092578017 1.697194009111415 1.449251050264404 1.262990988864462 +1.822963332564419 1.507458891377459 1.698077535552422 1.097391065995660 +1.489776962061972 1.524018699781288 1.829834024211206 1.158249381580875 +init_by_array {1, 2, 3, 4} generated randoms [1, 2) +1.206098150187858 1.188748746890072 1.905790177292542 1.197683783679395 +1.581791707731582 1.472658741645999 1.219954195279126 1.314431817240350 +1.892557591486989 1.674182513956407 1.354716893683782 1.845844041376035 +1.826170986556681 1.967780635370779 1.862910750705555 1.389713394565989 +1.135424893818967 1.243226848863541 1.372568674168553 1.838416793915725 +1.012244536944503 1.931569056772462 1.754609079927966 1.620967147520305 +1.391088695717090 1.789722500832279 1.226084228480795 1.266447763415419 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1.632690775130774 +1.906342845163335 1.064880988977679 1.893493738780686 1.587279230164033 +1.642313571993533 1.300961772333085 1.975073005942000 1.739811319514881 +1.093115845170034 1.435698080349287 1.429229589227551 1.055591614760253 +1.923585061967995 1.107767105399799 1.880099819618092 1.562125005616731 +1.957339551981028 1.765155992341599 1.989856228081166 1.809253892939498 +1.430677056755089 1.683615855310932 1.882122537159289 1.309808865040549 +1.383505756335199 1.200584827584022 1.711182235258465 1.764101584403521 +1.969978209495469 1.785486667088914 1.949277273932550 1.832995229702844 +1.667802937751930 1.916074216956237 1.626542752792327 1.667326544820278 +1.604986734605494 1.901517152541234 1.691918439818144 1.323371398608242 +1.827331385059101 1.381811337759627 1.341407798507988 1.722137617481000 +1.093022790250391 1.613860317179025 1.721631619923840 1.538155485060965 +1.346162000863578 1.467198403583808 1.996599781099279 1.359040102226531 +1.461392311526998 1.132491112315587 1.764665072665883 1.476847818335842 +1.743705138763347 1.302312557804937 1.452429601797827 1.721658149878821 +1.064370623998018 1.777442061490693 1.879704790994477 1.624835815121080 +1.139295428705441 1.826415557395320 1.847362285103470 1.079524699124963 +1.152936814782536 1.391344489249948 1.382969831514588 1.755477413385667 +1.756283572499010 1.945246018429232 1.812883563069099 1.167646667422380 +1.601479219050103 1.491262880514107 1.068821425667737 1.651840914271852 +1.796172556333166 1.911789114179145 1.013361525739008 1.655771238041839 +1.745072683908006 1.195893033309421 1.571351116135375 1.228987649255706 +1.803026612083330 1.434045839930020 1.291990496481559 1.619633619348228 +1.575146541348941 1.161900292790780 1.508827320299430 1.887421666240000 +1.091601009260696 1.763320603812615 1.029855213042826 1.012995081140343 +1.258846776326928 1.184211354331455 1.677390757603922 1.733228196781112 +1.394044459121053 1.325516245226029 1.176335737396861 1.792561231950753 +1.008598491393521 1.836482314141504 1.610882632270619 1.690679830923169 +1.837591966255078 1.160128581560267 1.654620893760503 1.616290221473123 +1.753346514672486 1.520722242935765 1.839748199064077 1.321741834993253 +1.187411486332115 1.131827502674687 1.061020167760792 1.643145412931862 +1.766706698145981 1.329259030012106 1.402009332786640 1.076972207326793 +1.413579267005697 1.502723550444540 1.484982646879933 1.670875406510761 +1.245360568168656 1.165380507332637 1.116665339233061 1.194034154425866 +1.545766023947871 1.402597432241319 1.030852556202480 1.708295654279878 +1.013431369944712 1.350541334176504 1.919491760151125 1.967608250605749 +1.785184571073000 1.967815994377165 1.558337591873853 1.474609396390283 +1.996214674294498 1.905553502363882 1.377030530363678 1.335347843539054 +init_gen_rand(0) generated randoms [0, 1) +0.156831223459688 0.953102598919505 0.488013133047359 0.105592242939646 +0.756666504386507 0.690453480633489 0.365624648541421 0.753090951057517 +0.188492820321510 0.316363338748397 0.862503124432107 0.060669621217250 +init_gen_rand(1) generated randoms (0, 1] +0.419885517221934 0.810112585108877 0.940236453400972 0.623360474420156 +0.630616293919298 0.212300534719664 0.758834629575185 0.875883062362439 +0.128970203122565 0.517725048970839 0.282344071433076 0.027599994280744 +init_gen_rand(2) generated randoms (0, 1) +0.089579978452761 0.658108704671168 0.366647599557840 0.230628125941176 +0.368742760048532 0.295514717026912 0.799388611483071 0.845396233345246 +0.990732824244897 0.236521332117139 0.466784235663302 0.837080121670923 +init_gen_rand(3) generated randoms [1, 2) +1.944705789242260 1.198826816441233 1.789264220413955 1.051800701136341 +1.693443194328767 1.588289742366447 1.348216260205265 1.367549740192885 +1.332701251308635 1.846695132725040 1.037688452208743 1.552307844874915 +init_gen_rand(4) generated randoms [0, 1) +0.364763168484598 0.148846426776551 0.872329428387068 0.343385782383902 +0.383122366941475 0.390558746496138 0.005591283883566 0.859926560559612 +0.145724364255677 0.834225748319710 0.133152262304825 0.862810035918125 +init_gen_rand(5) generated randoms (0, 1] +0.599092557469907 0.302813086929101 0.614374673163305 0.665123451363622 +0.690796350145810 0.041741010504964 0.823887165394826 0.842976190718608 +0.769367981663134 0.860840976959229 0.495724637344198 0.230007258352545 +init_gen_rand(6) generated randoms (0, 1) +0.165051757946821 0.690581886628497 0.736208960344018 0.552508662438028 +0.072350796923901 0.415862912604273 0.504625468507835 0.986912447926083 +0.537917448566223 0.119718663064788 0.918823649781281 0.539804429814354 +init_gen_rand(7) generated randoms [1, 2) +1.806629058661570 1.356620156492110 1.628455292948148 1.591950778457712 +1.613322405427325 1.904062787866744 1.677662541032122 1.694293074995702 +1.677058200427991 1.058220227060939 1.021023325117410 1.491172968534249 +init_gen_rand(8) generated randoms [0, 1) +0.664045222410042 0.519485589911291 0.428938515879274 0.187433874251216 +0.380468071528059 0.385008871251893 0.766034128812132 0.913890256547367 +0.995404678384921 0.901667075635926 0.626573153796530 0.484723857332466 +init_gen_rand(9) generated randoms (0, 1] +0.221135266765194 0.600297133236089 0.803622177245053 0.101906582153485 +0.304794307051574 0.589095604432693 0.042522338645820 0.340459761494362 +0.676947095917853 0.440602727741034 0.029707774803035 0.232513496906324 +init_gen_rand(10) generated randoms (0, 1) +0.063923425723319 0.696698843092628 0.175240007707153 0.253053694266930 +0.944648897355057 0.390397316932160 0.770115877919974 0.994836197447424 +0.562023760128554 0.677703357963455 0.375459842300269 0.802211026490111 +init_gen_rand(11) generated randoms [1, 2) +1.330864640767377 1.943461735677700 1.905524708078131 1.078128098866684 +1.868714214381825 1.194980990636967 1.970713522936120 1.897751381318548 +1.581438655548554 1.051817069102332 1.862023841730708 1.493085722188936 +init_gen_rand(12) generated randoms [0, 1) +0.022722061293032 0.014476914752158 0.122124756939761 0.584301647229114 +0.869463415631740 0.110606917877002 0.193212205568331 0.679598296627050 +0.022740503638442 0.184246950797877 0.804296423523108 0.739781322527131 +init_gen_rand(13) generated randoms (0, 1] +0.535984342613372 0.457694267735412 0.900698388656309 0.295668930722970 +0.731809260076569 0.596568081442974 0.242172600123957 0.214145052700693 +0.348537097059960 0.596768874288247 0.532006461385099 0.863105268549116 +init_gen_rand(14) generated randoms (0, 1) +0.601479715434419 0.063401545596355 0.639112794629247 0.155619399060625 +0.168639297660978 0.214600675258439 0.729977971513257 0.918494007234260 +0.701473207908439 0.459302858294487 0.410590573010929 0.660590541698988 +init_gen_rand(15) generated randoms [1, 2) +1.384391203136248 1.355206507648709 1.727081991734582 1.431011782457996 +1.860763145826088 1.334360991808025 1.605932906911673 1.281072871037458 +1.500355479067111 1.343007103311341 1.873386836163271 1.624902476841801 +init_gen_rand(16) generated randoms [0, 1) +0.366375648525236 0.623653117083147 0.527965547807329 0.536923729261090 +0.360675435096679 0.579977354525942 0.098889590363603 0.085270015126793 +0.549526703000319 0.660129368139932 0.275955934030721 0.629527778870302 +init_gen_rand(17) generated randoms (0, 1] +0.571033516685347 0.801561141784205 0.387144018237191 0.462337614240274 +0.183045847505072 0.159160289615046 0.650791916938565 0.775624671176864 +0.998714392233697 0.856441607022886 0.853716019974940 0.701770813671765 +init_gen_rand(18) generated randoms (0, 1) +0.596187131129228 0.680763242947653 0.987125180268455 0.176533501418735 +0.770606870819017 0.944869463485739 0.808055067469862 0.541339364586326 +0.563121424243466 0.481499658727594 0.778718069808643 0.124570684486376 +init_gen_rand(19) generated randoms [1, 2) +1.963343696240910 1.705055370779093 1.003619564212299 1.321056693465327 +1.365799237264602 1.962752617148570 1.243807390056933 1.550481876603983 +1.927149285828093 1.083379318451816 1.924904794454879 1.976308349042261 +init_by_array {1, 2, 3, 4} generated randoms [1, 2) +1.172576948108100 1.016530324026134 1.115872658893861 1.331575522171086 +1.023881368758961 1.514728489172135 1.902702203511789 1.301427216149078 +1.300372479211817 1.680793219819937 1.258929783674165 1.288714917459612 +1.641105595348154 1.200999755994626 1.549216880264564 1.936335917342217 +1.515149574696129 1.738974925233382 1.494785902679260 1.115535262925720 +1.014700954669443 1.101368922470177 1.237915889489572 1.583408761641234 +1.302299927800841 1.932581852941830 1.999007450796075 1.378459556343582 +1.621923063736184 1.756230918580267 1.210954925144675 1.159975974633603 +1.531106942343304 1.200201641875145 1.608768410297702 1.363687154142534 +1.115133077738700 1.605316978197068 1.656744148122703 1.435436026186166 +1.111397035822630 1.896552033226138 1.913718649705044 1.944286287856050 +1.276491849061627 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1.268213036178462 1.105793460388222 +1.301414391284167 1.362877808931946 1.479129460761306 1.470775067517370 +1.323372296353663 1.882858024739622 1.242648840670183 1.960920963722044 +1.189420862788387 1.775676346942812 1.836962950648764 1.225608444728838 +1.031826660125971 1.223642739166165 1.293719060266704 1.384859239181231 +1.037606670282627 1.463674149543749 1.288069426143434 1.402230155475197 +1.571833329757680 1.525262758238918 1.587315879112924 1.171504815578446 +1.919535276082088 1.816598772910832 1.373445653493135 1.927586246755860 +1.295064929890141 1.747864394215269 1.115319218851927 1.527575939389980 +1.311200438911951 1.774557142973973 1.727842606405351 1.801026243484034 +1.000936931691762 1.637945946838210 1.430655785954642 1.600741279264717 +1.378886518096057 1.689872898843643 1.211890162224956 1.132801535718520 +1.817084541055805 1.658934148941678 1.895529184441058 1.894292815457406 +1.553357732624558 1.436755888407919 1.080206255113111 1.659990565335723 +1.973712536508369 1.353013165015270 1.157193005915275 1.310612678422934 +1.511466402208103 1.620559701056070 1.603250968835484 1.724289193135036 +1.831217606653762 1.011676949911519 1.631981060247351 1.960779016134990 +1.118902874420574 1.843011109516084 1.951585957020156 1.490228747733070 +1.085561315657796 1.131866458432211 1.760216717700746 1.218027261434517 +1.861934237655883 1.673969172294754 1.637431568389643 1.848237040113216 +1.588562834963177 1.993444547076966 1.921353808944026 1.110236899989077 +init_gen_rand(0) generated randoms [0, 1) +0.643063016360512 0.772379213720561 0.502139536072673 0.581533306406716 +0.294056922473006 0.100717033151588 0.867916757201619 0.189776821093881 +0.704339228244217 0.475618425667883 0.453898435144779 0.300133805150727 +init_gen_rand(1) generated randoms (0, 1] +0.357269119061644 0.394853684742541 0.232886767592585 0.390019080993502 +0.606377415398563 0.104336019757104 0.941774158707798 0.959619377087378 +0.665370493773737 0.553229489284144 0.511333970674283 0.374375991711000 +init_gen_rand(2) generated randoms (0, 1) +0.902673877473516 0.901913093025360 0.144960393294816 0.421709738792725 +0.727215190781590 0.049117848077731 0.395687860530620 0.443465976692574 +0.525596880927559 0.878674831807375 0.922594751931055 0.710081397618229 +init_gen_rand(3) generated randoms [1, 2) +1.427902180484723 1.235180227858591 1.893010606122040 1.407520064520368 +1.153852733443085 1.353017930087701 1.249441613372706 1.063728065481757 +1.142097638400280 1.346275436648008 1.020654645507316 1.891889548922761 +init_gen_rand(4) generated randoms [0, 1) +0.362103051997711 0.817734703450394 0.892588787791763 0.735724922115168 +0.337441398135621 0.806600596484782 0.474925726473279 0.457909536500071 +0.453909467716590 0.370397919652925 0.351834743500070 0.274139148309417 +init_gen_rand(5) generated randoms (0, 1] +0.320575989292223 0.782221980596254 0.994230574048375 0.646493455549936 +0.182934842001676 0.419439059326539 0.804733853797186 0.630146430652609 +0.283304572706691 0.551951694752586 0.596651685127567 0.726464212348384 +init_gen_rand(6) generated randoms (0, 1) +0.512245795714439 0.949098909636435 0.304277882494774 0.425691508062447 +0.940024527462860 0.303618133421786 0.659538517356965 0.980428116584217 +0.992602173172166 0.309535512011741 0.799122326076374 0.503161736778810 +init_gen_rand(7) generated randoms [1, 2) +1.791279768504437 1.824059711409220 1.601640841052433 1.839406744853343 +1.706093704685138 1.792589402103321 1.357619712337886 1.886594864406919 +1.791193677072203 1.237635475178639 1.659875755247600 1.782255918015468 +init_gen_rand(8) generated randoms [0, 1) +0.539027783278177 0.350896572513407 0.045805192442340 0.147163615478894 +0.954161027974346 0.937558512762666 0.615966260678639 0.827921743169682 +0.449348302109296 0.823212321889368 0.538337463888570 0.426901349677887 +init_gen_rand(9) generated randoms (0, 1] +0.291582729506235 0.327137879357295 0.517830815155796 0.112106626154593 +0.612171734259559 0.701687536902544 0.471596446781525 0.803776113868638 +0.993144759108313 0.792918393124802 0.992224073158818 0.560509440469829 +init_gen_rand(10) generated randoms (0, 1) +0.906652248252293 0.969008988686184 0.287180486053953 0.941340736403439 +0.845804465799311 0.851709272681137 0.567338308129108 0.018923690263750 +0.398054844532580 0.648240113586421 0.027773695295189 0.411129988822436 +init_gen_rand(11) generated randoms [1, 2) +1.166288744923759 1.289035002956464 1.591654057965451 1.924237717731347 +1.971147945988489 1.779882148077172 1.301744917982424 1.472840297687313 +1.615894199307146 1.443788302565339 1.010514050763960 1.843668764702190 +init_gen_rand(12) generated randoms [0, 1) +0.037188572132978 0.796540980110323 0.785118397351056 0.950075542564853 +0.082585828608368 0.277307284982809 0.785199783813302 0.375537725493582 +0.136201893068798 0.990289994461294 0.064717912677199 0.724424211705538 +init_gen_rand(13) generated randoms (0, 1] +0.942356415514171 0.762315177514493 0.971674221337580 0.509644192975426 +0.463428874186195 0.228231769076783 0.629684091309337 0.364274558739615 +0.711795494091800 0.844459806251926 0.007623040364400 0.449873380705668 +init_gen_rand(14) generated randoms (0, 1) +0.594856417962816 0.426449471504149 0.815065332609883 0.612429056668908 +0.350788091641076 0.557487356775938 0.941466694286134 0.876568805621597 +0.074550394909309 0.472848548484389 0.278339473226804 0.685700309876473 +init_gen_rand(15) generated randoms [1, 2) +1.691991777346594 1.066678571406875 1.257288308507988 1.374950622278155 +1.631560611409216 1.220209640944814 1.670313717921475 1.400620968469163 +1.162389983753056 1.740495069469599 1.178174071747150 1.547171972178561 +init_gen_rand(16) generated randoms [0, 1) +0.279069583034248 0.695119007570012 0.978811839378629 0.855986723646318 +0.884885630716337 0.699520524608650 0.322365188671121 0.272456674845052 +0.285217033652139 0.208415904359228 0.035276027688090 0.546564341706908 +init_gen_rand(17) generated randoms (0, 1] +0.986507705141710 0.991073208331722 0.452541341409591 0.249391967237484 +0.190992932659906 0.025553141925910 0.986229647371841 0.696257848032870 +0.178514809866115 0.539663585863808 0.067902727331370 0.139909326835463 +init_gen_rand(18) generated randoms (0, 1) +0.461143403779607 0.933074765437657 0.329611012429450 0.913844231354235 +0.960408131306147 0.884756232790295 0.083744030675982 0.093922841568062 +0.986018904509842 0.092776680350047 0.761622101354923 0.291321509178648 +init_gen_rand(19) generated randoms [1, 2) +1.109628619724238 1.328720045412586 1.235043984091162 1.700260577583939 +1.995239491033933 1.949870477994024 1.354264858779323 1.839679449502692 +1.208919707518303 1.582313935919556 1.052095151572292 1.599751368959784 +init_by_array {1, 2, 3, 4} generated randoms [1, 2) +1.061432228134937 1.797513181266742 1.014515778872698 1.292515677601426 +1.842217614712485 1.219693001089960 1.091642970346479 1.361251722923487 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1.772499449844828 1.229590547241117 +1.523859240135010 1.750638838700595 1.294969757722743 1.239218469359550 +1.895331049984825 1.351848818389126 1.953628356200589 1.556987376063896 +1.742382503539244 1.831314773712437 1.931187779890391 1.627064275586785 +1.092521265403294 1.056269664216268 1.697419776942093 1.020621151020278 +1.016460701790075 1.663349935983337 1.700240650962897 1.294295439244268 +1.217283432848958 1.724633019876359 1.611555526017567 1.976769804845470 +1.322482963420171 1.119851357883444 1.188940717720834 1.639649300982932 +1.430594405952054 1.528763701984112 1.677238553046157 1.804257644847276 +1.373695667911955 1.041607859915277 1.292586152868963 1.204343281283561 +1.219648415953772 1.118298775504544 1.489325174543727 1.223311365895364 +1.215428634537803 1.544464527855300 1.211873174969368 1.800882969641407 +1.395620323924559 1.513764352278001 1.855296462052718 1.311627987537891 +1.106545691943606 1.006292260028909 1.266506021169479 1.061150534120227 +1.552364586842264 1.302709575585848 1.821775657431182 1.391750759396551 +1.365952489392163 1.337000387140509 1.740591934294086 1.185662060689487 +1.200293174238620 1.390126083634700 1.802185187529872 1.091847733098113 +init_gen_rand(0) generated randoms [0, 1) +0.030581026769374 0.213140320067012 0.299002525016001 0.381138853044628 +0.863488397063594 0.133443440024236 0.073465290616508 0.924735636004535 +0.642876178923654 0.135658049473512 0.614181131134505 0.758658396495576 +init_gen_rand(1) generated randoms (0, 1] +0.880645574886293 0.087582384819670 0.496821329757135 0.128745342494544 +0.467567197430918 0.436374482624768 0.899091469109679 0.001594789681223 +0.210988720282107 0.643085780983058 0.286963132782255 0.013824516579797 +init_gen_rand(2) generated randoms (0, 1) +0.111463197826414 0.981070652873690 0.273251005444180 0.667092155512465 +0.067797604041130 0.685302203135360 0.488955903431841 0.086343896919829 +0.336371017018281 0.035318749911809 0.386868055837259 0.599611474561840 +init_gen_rand(3) generated randoms [1, 2) +1.255012198808926 1.875325181548898 1.090817069386308 1.114317519239395 +1.361744453795217 1.820994567703168 1.844381146874511 1.618865371694159 +1.673557508016053 1.091709989515746 1.126079371575098 1.496618495643371 +init_gen_rand(4) generated randoms [0, 1) +0.525870252184132 0.756509091477380 0.909241411895205 0.143911115035140 +0.698929653706998 0.669030576065301 0.241744340735132 0.919797334192990 +0.028705520493362 0.218683037894924 0.456442573349723 0.539417856942046 +init_gen_rand(5) generated randoms (0, 1] +0.576676137904379 0.994304310329450 0.127959185148864 0.178972277952344 +0.501233068055063 0.859840653012468 0.546161779037789 0.805380602145160 +0.381324178276622 0.229028865043289 0.666794531244068 0.821723842976139 +init_gen_rand(6) generated randoms (0, 1) +0.873475838401079 0.583121226481617 0.576856073100122 0.257034220291161 +0.880349747064963 0.605268659164597 0.689410341721138 0.966492486436186 +0.534806053406845 0.900572098810981 0.597121162382788 0.133791573492792 +init_gen_rand(7) generated randoms [1, 2) +1.733846496352147 1.944933364309216 1.534366387694546 1.349854297375459 +1.571154261112555 1.863253614248477 1.864195640054161 1.785226829892599 +1.379886866798434 1.483001766555189 1.866336010420762 1.423589988625517 +init_gen_rand(8) generated randoms [0, 1) +0.016149986809160 0.240896551732740 0.220205411033437 0.600118317624624 +0.213730648540553 0.952832658803485 0.132273329757838 0.863778049809414 +0.906936863919466 0.961619277372525 0.400525759102315 0.649827956416327 +init_gen_rand(9) generated randoms (0, 1] +0.897952026920904 0.203799481453592 0.308102370173474 0.422219844527180 +0.443487283107153 0.273078034367036 0.891095544481263 0.504201644104074 +0.860515602119610 0.099756040933477 0.665909380063383 0.712374311203949 +init_gen_rand(10) generated randoms (0, 1) +0.683327910427992 0.372356849192171 0.497061202773271 0.605407023484072 +0.511747659988026 0.001673057933136 0.552274515327338 0.043245882396125 +0.712391906919602 0.193479812533390 0.954009587317864 0.249432912513315 +init_gen_rand(11) generated randoms [1, 2) +1.515116984509329 1.443474140205448 1.744243096579810 1.174981598119548 +1.591230822876110 1.891149667922797 1.234649637868734 1.689416942120393 +1.597133636547374 1.393254123902199 1.416543312374616 1.876116444637407 +init_gen_rand(12) generated randoms [0, 1) +0.481774634082841 0.623613096403768 0.433948476365912 0.405980944986896 +0.266345318555654 0.029670935213201 0.872367522063317 0.179517403785763 +0.826284520382318 0.305580349258039 0.860195447330739 0.696284974815308 +init_gen_rand(13) generated randoms (0, 1] +0.736509336456002 0.651082007713346 0.555021508844934 0.885753886252467 +0.333120182106870 0.993548773174568 0.987772890836659 0.431302442805909 +0.705413176872964 0.481900388799174 0.225302536580132 0.920897894303691 +init_gen_rand(14) generated randoms (0, 1) +0.097538698136809 0.667918617856063 0.665514947795676 0.987487457310677 +0.852303628338015 0.865926887506882 0.741215889765148 0.133112334043015 +0.333880173444365 0.147834523328185 0.207424230300744 0.079230766305846 +init_gen_rand(15) generated randoms [1, 2) +1.685473600093543 1.832764630430519 1.354009350422052 1.741020317316160 +1.597593449420559 1.830141846144645 1.358506431507488 1.275519467960031 +1.046966095225627 1.536343990557542 1.558416456717071 1.073677139349694 +init_gen_rand(16) generated randoms [0, 1) +0.976137909126447 0.107093727331627 0.542120470952989 0.971703069457611 +0.306550103262598 0.446553984418768 0.620684556774153 0.553453780422661 +0.613690074438016 0.958374645802272 0.865352204619699 0.057389301498593 +init_gen_rand(17) generated randoms (0, 1] +0.483981085511368 0.254441115776038 0.335092686732900 0.307048279097139 +0.367845049818382 0.013859536137113 0.635616755317694 0.041197496379171 +0.729539767320051 0.434411980620260 0.102507984715114 0.258142362745437 +init_gen_rand(18) generated randoms (0, 1) +0.335740132995339 0.299313426339728 0.439248668581697 0.325201563728406 +0.155819947798202 0.910642358668589 0.971275576846953 0.405370275515955 +0.973829163404636 0.816003162109168 0.866979619992709 0.609717360529922 +init_gen_rand(19) generated randoms [1, 2) +1.215781221856222 1.258174726278870 1.334549825010923 1.347468216542527 +1.711200914089176 1.865993942546754 1.482519712342379 1.122766670733852 +1.439184830020622 1.950977199236228 1.366172637840221 1.796301634657450 +init_by_array {1, 2, 3, 4} generated randoms [1, 2) +1.426834076845924 1.669573575226984 1.161348943376632 1.218790313522451 +1.409859819741837 1.507585068928725 1.157665160870239 1.763320166432968 +1.244116037727320 1.471631443373209 1.548950785012095 1.631712105867313 +1.646854415248517 1.441505070427991 1.779880230398589 1.265250259948116 +1.241834722506462 1.291436728456658 1.301293539339929 1.330800599996647 +1.570261068928472 1.963194799607127 1.537283415577270 1.981089162219523 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1.098398906477739 1.193075202886676 +1.039579799340436 1.828367849730402 1.640188506770148 1.283889278308507 +1.384332552636102 1.798193390366419 1.559897405875410 1.454310604705065 +1.296262338711776 1.294373042818044 1.967002733458247 1.989466715299275 +1.077720947562296 1.600390139604202 1.530726169271047 1.607848147375653 +1.467433891541293 1.601680870611710 1.067004220970051 1.494538039443192 +1.047714202290918 1.748109415248243 1.535172394787384 1.970013914720250 +1.813463303128258 1.227904153533871 1.123088637888006 1.069964695339814 +1.492131560436642 1.437614606460966 1.377227182290168 1.656394366986875 +1.731967358087529 1.577117694169962 1.260093325721778 1.375491161295490 +1.013811550239444 1.395363435145228 1.993745444563872 1.174086059044503 +1.508525310709437 1.324943180960664 1.205378417140666 1.169420588916052 +1.665537747751983 1.635983901189031 1.879591759977799 1.062765801016780 +init_gen_rand(0) generated randoms [0, 1) +0.848467254476375 0.413646507199983 0.486591408942830 0.582156975025284 +0.928663459302914 0.365649297758669 0.553823796912988 0.070252440573769 +0.342997361876896 0.971968352928051 0.104029745399673 0.727216770264476 +init_gen_rand(1) generated randoms (0, 1] +0.748293174711806 0.571559596236355 0.605449252511300 0.924790087049302 +0.432668914877712 0.484528049554209 0.583985876961072 0.902604870753081 +0.508513467184131 0.037246543116071 0.506215060982769 0.084759451676836 +init_gen_rand(2) generated randoms (0, 1) +0.177597622485633 0.280725302450640 0.691476536784555 0.674526436218482 +0.085567171686030 0.630864738252637 0.730705882297407 0.557424024173655 +0.732776059694373 0.284263090359834 0.262067699892716 0.494287683239405 +init_gen_rand(3) generated randoms [1, 2) +1.072342045146711 1.869169978342095 1.431380333949552 1.204911096414455 +1.850506758528621 1.263179494162272 1.011312397015561 1.937576928860709 +1.656298194634011 1.555055514657424 1.946310040529188 1.714119181598159 +init_gen_rand(4) generated randoms [0, 1) +0.077725191809740 0.780831587728510 0.772916025794393 0.068834288045967 +0.421741118568716 0.467602893283273 0.549356513331837 0.609045342181351 +0.316447786909831 0.506324930125674 0.692614149697598 0.214725533634785 +init_gen_rand(5) generated randoms (0, 1] +0.942151360752866 0.188274482907469 0.142862007276750 0.011090370489097 +0.248646021404350 0.523284252896761 0.125414699807547 0.515195642656920 +0.416841787731485 0.247377326768320 0.651179610091391 0.587075719922914 +init_gen_rand(6) generated randoms (0, 1) +0.579697104608467 0.165958379308153 0.198000725840494 0.294349512679861 +0.835771252296934 0.683173513898513 0.099256139321365 0.096631663627321 +0.258821348138430 0.217743929078501 0.803121448664250 0.823271578568309 +init_gen_rand(7) generated randoms [1, 2) +1.577177423327097 1.992616620422174 1.351753398794903 1.011685522155414 +1.619239721758005 1.081964169535228 1.248044517974649 1.531131778272782 +1.881988795840629 1.232761654869638 1.142276023151095 1.422607831847451 +init_gen_rand(8) generated randoms [0, 1) +0.059436806120502 0.337837796528772 0.103400163156252 0.775682358808069 +0.562064743882912 0.870522826397812 0.788248303409689 0.917823820829051 +0.775176460689182 0.152266463536411 0.357386177658874 0.534079736745382 +init_gen_rand(9) generated randoms (0, 1] +0.388683205886998 0.059302126317897 0.702595111719539 0.560080208899014 +0.350277445694358 0.382128590129136 0.530399903358921 0.557342101717063 +0.465835513315297 0.813352644039902 0.395308304126997 0.428716670539496 +init_gen_rand(10) generated randoms (0, 1) +0.796037476772650 0.610610187621779 0.783983615969344 0.143872144247263 +0.654987701249681 0.889781055329549 0.506771420516338 0.813053248461107 +0.991351273609536 0.353630081109741 0.267949932391627 0.699471255455680 +init_gen_rand(11) generated randoms [1, 2) +1.010909887724959 1.656572324783382 1.288180869531875 1.859992410126781 +1.184455714951074 1.271250282370553 1.370058317035991 1.146161056060378 +1.762975124236752 1.292544396490388 1.563704373603145 1.075576480370063 +init_gen_rand(12) generated randoms [0, 1) +0.708383497604256 0.730761040301503 0.334024805341733 0.746039944710053 +0.915819369452250 0.812924564430275 0.791601145987631 0.001035589604235 +0.571132327007641 0.059230871600088 0.711408220363501 0.675261294841229 +init_gen_rand(13) generated randoms (0, 1] +0.880581902659550 0.837876587429329 0.485498548768492 0.327498204148388 +0.586264215522657 0.414846774119610 0.825470981313036 0.359061896129010 +0.087552125884303 0.740101842457331 0.309351543052519 0.728066209421850 +init_gen_rand(14) generated randoms (0, 1) +0.923138726624952 0.469532766594497 0.632270259481927 0.205564610552960 +0.927082076237906 0.299224699383825 0.359578503156918 0.490402305874778 +0.728615693055077 0.312558190624747 0.359781675794546 0.752836816563380 +init_gen_rand(15) generated randoms [1, 2) +1.140627479020712 1.084786158536458 1.132239343463171 1.350307546397862 +1.380563763202770 1.351370307172073 1.264541047094480 1.346744433657995 +1.407373921619129 1.001373684886554 1.213052611255335 1.886710415587364 +init_gen_rand(16) generated randoms [0, 1) +0.360858921657210 0.729078653124164 0.901910061120294 0.737918552985219 +0.794263888042076 0.806223468587332 0.974052290398341 0.658750204624069 +0.616887118950641 0.529467140662471 0.248762815602353 0.262824301133219 +init_gen_rand(17) generated randoms (0, 1] +0.031203383632855 0.688536004862123 0.230036913486180 0.207170199851598 +0.588672815313508 0.836797870585944 0.207522798388149 0.329127118654156 +0.432391662554202 0.685332978151205 0.107134687508995 0.652511082310657 +init_gen_rand(18) generated randoms (0, 1) +0.124163134096911 0.195010389501341 0.633799000387237 0.066310451867196 +0.302639065333798 0.997730856377200 0.705770245505459 0.266586450558278 +0.302145991358288 0.485848525384480 0.377247864710428 0.211284546780617 +init_gen_rand(19) generated randoms [1, 2) +1.337567399824463 1.486694566841658 1.304594295729453 1.704142159671544 +1.243635859376063 1.194462526403072 1.035988944153486 1.212208650426627 +1.397920098341323 1.882254395400537 1.117078744617056 1.434100253869732 +init_by_array {1, 2, 3, 4} generated randoms [1, 2) +1.246747774742146 1.089622676095007 1.070108854437680 1.964917211249136 +1.604976121195500 1.921620695385796 1.028172357944030 1.891341799961428 +1.206476747849807 1.353285236019887 1.097654747408200 1.169088237568662 +1.106349656020360 1.751000551101964 1.636830261631439 1.253913856232047 +1.626135872244132 1.239404243143574 1.834246900844735 1.980679436647909 +1.066968127209365 1.426191806463819 1.699650094677764 1.423896251537213 +1.020462734575249 1.659742340023787 1.409858079869516 1.460390791134137 +1.415373790749087 1.168510013053838 1.450097296460212 1.203588830490063 +1.920045206875726 1.267616696246712 1.438247258135656 1.510976280350812 +1.572362707738103 1.884645692738128 1.213817008168199 1.493930687491293 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1.980329013709233 +1.857835114761316 1.505484215413226 1.132100210375277 1.700512166449060 +1.774303365287700 1.430487490851686 1.145025882863047 1.224092932012995 +1.116668975504566 1.509681544470995 1.960647022246499 1.410670756798434 +1.778404712046845 1.302965875486441 1.004527791646426 1.278635146256208 +1.405754052222326 1.073406451157362 1.400476009833673 1.714631429357681 +1.733053807758147 1.328284588862131 1.620819094194692 1.162474639648339 +1.863287413895159 1.651488223648670 1.461225748933028 1.794453541604570 +1.730456345586420 1.805391570851956 1.633920611227117 1.384394789150328 +init_gen_rand(0) generated randoms [0, 1) +0.039141198330724 0.240142890878554 0.209955588717310 0.236112916061619 +0.573609744512888 0.395123490651293 0.812094386786663 0.972142771907627 +0.661852338311814 0.561535645334802 0.291263099916129 0.621868802307074 +init_gen_rand(1) generated randoms (0, 1] +0.197401825552436 0.450667789853425 0.949077153602325 0.746101466565815 +0.374044214892803 0.203220825359265 0.315142533420788 0.000972952474337 +0.528170849943415 0.511750723153281 0.736971877918357 0.775180059678772 +init_gen_rand(2) generated randoms (0, 1) +0.427667673034137 0.114400215101537 0.032119928592253 0.255012682037145 +0.355448733065872 0.188020506093574 0.062619018878574 0.402188885491065 +0.660402037271053 0.932882881654048 0.986571493440761 0.575033370781814 +init_gen_rand(3) generated randoms [1, 2) +1.605915781710681 1.647244358909601 1.254232346519736 1.085959492779551 +1.352860166249382 1.994299975846146 1.586137829445560 1.649591164754850 +1.495629716325686 1.700105207379521 1.130381728439935 1.848159368566670 +init_gen_rand(4) generated randoms [0, 1) +0.238034111259992 0.888061286658451 0.862449834293604 0.066013370194657 +0.454160163257894 0.549218924884145 0.714536859506758 0.598983253772769 +0.330530003460256 0.181600268795437 0.084828648251119 0.253899928954298 +init_gen_rand(5) generated randoms (0, 1] +0.701876480870822 0.439288092349092 0.196861761522124 0.225529182201355 +0.513841365467117 0.812782297385214 0.943515794309134 0.728688713799219 +0.550086818407231 0.159141148268531 0.708650807287641 0.555829403967039 +init_gen_rand(6) generated randoms (0, 1) +0.477466803162719 0.974495445245670 0.354529903885188 0.785219142885805 +0.218041032218533 0.321280564574248 0.059430242716206 0.557517726072402 +0.646310724036336 0.214381751071967 0.823112174560962 0.233562918821059 +init_gen_rand(7) generated randoms [1, 2) +1.320570959340211 1.577820287396313 1.888528766674804 1.599916133592814 +1.882620481758533 1.703005271719497 1.970766024252903 1.653379526127726 +1.602754672635726 1.972302690830004 1.360349937530974 1.018367692159037 +init_gen_rand(8) generated randoms [0, 1) +0.389305095734386 0.293795385032480 0.824471116809770 0.713132951231938 +0.315282980920242 0.680652513317100 0.529348121720663 0.204238271222364 +0.656366865037213 0.263189542120189 0.309634761782333 0.849148446335754 +init_gen_rand(9) generated randoms (0, 1] +0.023742037201143 0.097817986094275 0.212028098657713 0.488796770220919 +0.699438932294896 0.124125269982973 0.631981590554948 0.599189707334417 +0.414231330009421 0.003200281601159 0.309005613295406 0.613944565103664 +init_gen_rand(10) generated randoms (0, 1) +0.366581169365578 0.132306137250225 0.303113209859658 0.942349397812930 +0.985650763418516 0.645014809690707 0.838068410996888 0.144623334977467 +0.760804985612095 0.993776960867864 0.576849813965344 0.714302890228335 +init_gen_rand(11) generated randoms [1, 2) +1.112505574020623 1.294372207693334 1.045222923489112 1.987856657469678 +1.064591329672131 1.833230679444852 1.621580734728720 1.666839500196974 +1.676721086595095 1.264691217189676 1.483640691057159 1.506094145971925 +init_gen_rand(12) generated randoms [0, 1) +0.936155301433925 0.359270189551617 0.414582052821748 0.243000364705316 +0.758183339532466 0.236961638976871 0.289072189183471 0.759861901384338 +0.432451490068222 0.938553980678281 0.025994903250097 0.408491070338117 +init_gen_rand(13) generated randoms (0, 1] +0.805350001345456 0.409526279934147 0.524297575295026 0.974284399305928 +0.881837324886245 0.013311399270564 0.965265460793185 0.329147241208287 +0.642238290615810 0.508826151681757 0.888269880227152 0.217972196613126 +init_gen_rand(14) generated randoms (0, 1) +0.697836734853999 0.019927261099530 0.559811595873184 0.823629195963737 +0.977841885903914 0.597673600697835 0.650607241567713 0.351049405232736 +0.221740602825167 0.579057119299789 0.994956203385833 0.948871688306084 +init_gen_rand(15) generated randoms [1, 2) +1.489799007574679 1.811428537048644 1.703031967018970 1.603992987162570 +1.464644244443203 1.837018336726886 1.301509018842335 1.696721503366149 +1.353697989034858 1.036816097847184 1.750096806960109 1.198966580910889 +init_gen_rand(16) generated randoms [0, 1) +0.568400348480497 0.207728900569780 0.166259744101853 0.402870146352962 +0.586412021358490 0.708367941417526 0.955922418811199 0.040110250748239 +0.630730577123339 0.341876190246356 0.466558538026659 0.833574901219682 +init_gen_rand(17) generated randoms (0, 1] +0.846985165152819 0.774433071769977 0.601518580531997 0.241786773256417 +0.604742063883701 0.576118711236220 0.044924777040066 0.256765771772177 +0.888223853605954 0.692405844297021 0.383224119688446 0.834190267882152 +init_gen_rand(18) generated randoms (0, 1) +0.150898153558084 0.894074805505165 0.713160196894030 0.433402533844206 +0.875665938667556 0.416141379216622 0.223487786074882 0.449550667994502 +0.905850613883171 0.163447403529844 0.390164897666491 0.056743596941706 +init_gen_rand(19) generated randoms [1, 2) +1.488984435176724 1.717467778659574 1.546178299359787 1.752484902683245 +1.758961554059368 1.806181578584397 1.739950312343025 1.426374345111599 +1.325059528213815 1.955888538600641 1.493838013991883 1.717447854592225 +init_by_array {1, 2, 3, 4} generated randoms [1, 2) +1.581784220574283 1.375490735919011 1.230434027335453 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+1.257970145603132 1.830165695249627 1.626379730494144 1.700827727206771 +1.835344570487808 1.779260242308986 1.336690013166618 1.265150884129988 +1.474744081272373 1.487120418943298 1.030502169026391 1.390506144850594 +1.152379821634836 1.880783498644635 1.027204813177287 1.314297170367488 +init_gen_rand(0) generated randoms [0, 1) +0.139094106868506 0.906912332044604 0.155279971572842 0.816240119921928 +0.968538028170452 0.705944581231948 0.918194220532118 0.812205985231770 +0.118324298619098 0.725613776800635 0.384799205428535 0.866053809172827 +init_gen_rand(1) generated randoms (0, 1] +0.473712274567619 0.566741638779296 0.920088431747615 0.505261534218621 +0.021145509690642 0.944433000858919 0.068291972887625 0.451283621616343 +0.785832391132814 0.261754953216587 0.873985947332752 0.849153416108939 +init_gen_rand(2) generated randoms (0, 1) +0.731729216395445 0.256644152001933 0.984158103625668 0.081110542054178 +0.210706093471697 0.198640186645040 0.993075047523048 0.797746702779009 +0.852662061025464 0.196140937219142 0.421017698828807 0.913079853400022 +init_gen_rand(3) generated randoms [1, 2) +1.569174756436084 1.816216102672822 1.187826825134754 1.047187222060821 +1.127008251122564 1.069457995787952 1.895199535170333 1.337773877522005 +1.759908929639046 1.828993965708126 1.816835218073901 1.019097058912647 +init_gen_rand(4) generated randoms [0, 1) +0.754749569911410 0.008927487776123 0.240459788210770 0.155385925322632 +0.770344585375962 0.678314238770471 0.202131886460912 0.594486949053829 +0.263694708877532 0.257987730130051 0.663709965802413 0.264153291575777 +init_gen_rand(5) generated randoms (0, 1] +0.408002049515769 0.712754812153526 0.552523506852353 0.321747689663168 +0.136321242095236 0.838489992139453 0.592452793860149 0.649620583057740 +0.133335256358435 0.591455455803913 0.062147373169373 0.713238289961749 +init_gen_rand(6) generated randoms (0, 1) +0.075822962254969 0.292954618840790 0.434108696581172 0.177871534903399 +0.414629379390554 0.570773669676153 0.925043266909783 0.259192089244874 +0.068118267297325 0.563564356449122 0.595979829878863 0.369355127578081 +init_gen_rand(7) generated randoms [1, 2) +1.235570621764626 1.062145978522382 1.332997992359004 1.358120098378900 +1.360455642798055 1.507252101010870 1.910268362011839 1.579259194654447 +1.703582371514360 1.701915630457764 1.058646337110003 1.939860183249589 +init_gen_rand(8) generated randoms [0, 1) +0.106893240603631 0.129367605272507 0.293124712390338 0.655339318341164 +0.122653435111586 0.762940834925811 0.879336534774384 0.590430747313798 +0.918636257629229 0.425168637488013 0.534163786341316 0.592662290427423 +init_gen_rand(9) generated randoms (0, 1] +0.638276650264500 0.501896354886873 0.781653396777548 0.368608941892943 +0.519059997544925 0.022820190596937 0.872091700215982 0.790328816421325 +0.741920330593523 0.005900818742439 0.345078308149616 0.277367524139337 +init_gen_rand(10) generated randoms (0, 1) +0.523175425329337 0.374989963169180 0.516529476706044 0.720992141036281 +0.645571605357432 0.581071873106482 0.836023547779053 0.027613343414110 +0.426641084834995 0.445291687946455 0.300837904814435 0.464566781151699 +init_gen_rand(11) generated randoms [1, 2) +1.115792741804887 1.296127063029278 1.295506068724647 1.800680450237698 +1.168938652924101 1.797132765063683 1.087436442178690 1.220124830399251 +1.300005980622459 1.538770615472076 1.971545288919785 1.235857973452984 +init_gen_rand(12) generated randoms [0, 1) +0.444856480706895 0.204292323324923 0.479168426490390 0.430983585431922 +0.194315760007311 0.800211738941005 0.295177869873791 0.867590803851942 +0.857088555779384 0.237695299409965 0.965532391636972 0.643509190391377 +init_gen_rand(13) generated randoms (0, 1] +0.983503021131606 0.766290688243351 0.349177789976909 0.892183494110349 +0.236609790886608 0.977588846134050 0.010367605963536 0.599384038745223 +0.914534343247412 0.623983383505368 0.463027859363480 0.921966746622112 +init_gen_rand(14) generated randoms (0, 1) +0.454891232836276 0.415368168157117 0.405532901443073 0.943687703675395 +0.124032641026607 0.126225457849525 0.117076863705178 0.343787630728983 +0.414848595148317 0.717418762937913 0.268987774818339 0.913989813638567 +init_gen_rand(15) generated randoms [1, 2) +1.521364119609258 1.562705187406340 1.651393465274851 1.794325037121499 +1.723459821653745 1.014635190226326 1.872056428083200 1.845783704116238 +1.048082775555714 1.825993195730788 1.997220514139270 1.264529497676716 +init_gen_rand(16) generated randoms [0, 1) +0.082807078780321 0.140063180614847 0.483432376446694 0.275294957118664 +0.807907807682373 0.504035623580239 0.531458017200325 0.659917557505638 +0.909711893442439 0.482612269187351 0.215197195035269 0.911604879268434 +init_gen_rand(17) generated randoms (0, 1] +0.067326678918456 0.961392332546084 0.738159338308318 0.172624002048305 +0.408467118051411 0.916434866728816 0.631858060869290 0.149692901355434 +0.072517346009317 0.411996350511608 0.334324514485271 0.528999059666306 +init_gen_rand(18) generated randoms (0, 1) +0.071400585539376 0.993838702660660 0.004090211076572 0.064981200442632 +0.023809496571941 0.570407949590940 0.550771164903151 0.927799003163756 +0.112063934251740 0.502480856633010 0.175479421460867 0.210557079198552 +init_gen_rand(19) generated randoms [1, 2) +1.512414732035816 1.496401373580486 1.749495642589850 1.426412693187744 +1.880215221679959 1.220827628391872 1.612819622359692 1.755393905791940 +1.614729457070734 1.557966906902604 1.522837322513267 1.389240902177411 +init_by_array {1, 2, 3, 4} generated randoms [1, 2) +1.006640204836158 1.345125096734139 1.502078534995522 1.966610571710784 +1.779233808067944 1.873264035880906 1.456949337635997 1.526976480878865 +1.859688846901620 1.745121297735107 1.264199890933762 1.196985910233087 +1.285153658721687 1.548801410473566 1.174079518851053 1.349961421042465 +1.779537040044733 1.835434637118791 1.079576148403005 1.985568703047948 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+init_gen_rand(0) generated randoms [0, 1) +0.793642230996037 0.580459783108833 0.438188768785251 0.176939156694645 +0.840219755016754 0.401937324294332 0.426098229275984 0.773632659022513 +0.766098608999247 0.449949418002488 0.809308049559321 0.063357031921013 +init_gen_rand(1) generated randoms (0, 1] +0.455599401862604 0.276786278406747 0.869442513164464 0.256607551261946 +0.824800552710095 0.164040149304383 0.600438102787136 0.045818148271225 +0.238590556501327 0.426445445190838 0.320473574724940 0.165133443903563 +init_gen_rand(2) generated randoms (0, 1) +0.097003607168711 0.452063515485125 0.574374247932251 0.862981339415242 +0.301932030445346 0.888712980830559 0.765145548640859 0.326371172202567 +0.853346153428999 0.573297805102008 0.377566944105148 0.253946017233244 +init_gen_rand(3) generated randoms [1, 2) +1.950842848638729 1.739813491619752 1.305970834641442 1.942324009648197 +1.893015162185985 1.234881893035222 1.081884613902705 1.850322973566017 +1.544074805093204 1.889964982258590 1.227558590022788 1.261152059589819 +init_gen_rand(4) generated randoms [0, 1) +0.669432091487025 0.004444958979189 0.282915894792966 0.071375313603914 +0.298714873919592 0.060247676085934 0.478856494873675 0.430035690731896 +0.157791077810947 0.365985808229946 0.853418554020144 0.947353016854962 +init_gen_rand(5) generated randoms (0, 1] +0.066107910511039 0.901549925619374 0.671960468266555 0.810772722904134 +0.418841509726952 0.376227608337679 0.026321612923461 0.850091179928447 +0.153054494452446 0.095857583968954 0.755008836343088 0.674201318942030 +init_gen_rand(6) generated randoms (0, 1) +0.335884064841178 0.307786462454134 0.305033856086343 0.547822370011282 +0.970908670463435 0.320126432318584 0.574977250948931 0.846676611829591 +0.128534264758735 0.303386284436072 0.421452679680636 0.590292404700590 +init_gen_rand(7) generated randoms [1, 2) +1.373069468408223 1.212840627463321 1.732272571865576 1.316952103739000 +1.534116498696132 1.229999084347105 1.204247683860995 1.330633147441771 +1.719996275368882 1.681032826908220 1.438714758149172 1.118939773455663 +init_gen_rand(8) generated randoms [0, 1) +0.051131020685500 0.027923802063273 0.282215831727000 0.908917355131307 +0.430579055263665 0.019193403218414 0.203168998623389 0.413756999872521 +0.817964695906104 0.154360999511044 0.261331895047858 0.378103593567628 +init_gen_rand(9) generated randoms (0, 1] +0.720560167721030 0.949359277137631 0.855200170729020 0.629467269255424 +0.807769217908019 0.563367819613422 0.242766529488850 0.813691680872244 +0.403630969230066 0.450298240597618 0.105884766977242 0.162788154388353 +init_gen_rand(10) generated randoms (0, 1) +0.076727791763944 0.547836462886562 0.135883327281024 0.852154436655138 +0.705840860943469 0.558769261305778 0.294789290097140 0.456624388980984 +0.589976763469014 0.372815935228584 0.156611070909337 0.848755813687961 +init_gen_rand(11) generated randoms [1, 2) +1.816105306277620 1.288826685851095 1.189014044577139 1.739203371002264 +1.525946316624243 1.620200208688409 1.096321506609140 1.511121413381151 +1.540994237109195 1.358693219959760 1.902407966880989 1.263638872771530 +init_gen_rand(12) generated randoms [0, 1) +0.076116807775669 0.667044720054686 0.787931372352241 0.516425979485220 +0.380004284286166 0.426403036087206 0.849059805069711 0.604539401610475 +0.784147055348552 0.274206046080719 0.010610626638263 0.067547441635300 +init_gen_rand(13) generated randoms (0, 1] +0.143102490368023 0.117248721906391 0.504318419452768 0.724314512484266 +0.707617107774408 0.305025797340337 0.257036703462120 0.231580713710426 +0.908953909389886 0.641723413056777 0.561355428279413 0.954352879512851 +init_gen_rand(14) generated randoms (0, 1) +0.950316009492236 0.706637380587793 0.643301442482649 0.916244261764853 +0.680434167859570 0.430146583284165 0.425880761146329 0.758796973669367 +0.736483395980624 0.758011251700097 0.440498657157682 0.777585335464516 +init_gen_rand(15) generated randoms [1, 2) 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1.716241003002192 1.717274197263464 +1.145874811662342 1.844021276911700 1.286356224226028 1.448231440525136 +1.141954512028515 1.039613210238601 1.817476992077502 1.760382139897084 +1.407750553164968 1.812569974085484 1.641161156149672 1.697422055978861 +1.714829775305783 1.929785937645766 1.716447879866937 1.854268101934073 +1.121911630576161 1.197517895350150 1.004743448646769 1.072065041071708 +1.119370389217647 1.899323694833023 1.718457746283301 1.684008126179527 +1.319137836033135 1.447767810409670 1.012599481115021 1.493847303394084 +1.523019009170983 1.739806740014410 1.417433842651163 1.743243212735018 +1.239635334976984 1.827971428640967 1.718903277076515 1.831011033166290 +1.033327641341451 1.032770062325701 1.975216530655317 1.958434085350983 +1.227123778298683 1.392298987605085 1.817004849695195 1.252261664991397 +1.797343875857502 1.803170842944485 1.258881278032911 1.786110615430234 +1.244860606485409 1.048751236211840 1.706298709479787 1.091369645427824 +1.582328024772029 1.410675316936429 1.111413900996406 1.468352391122118 +1.988904622507199 1.227091377909595 1.957405382501052 1.975396575587178 +1.113794863145053 1.655771242497922 1.031768396881023 1.991713934874783 +1.630898066922311 1.631506341902332 1.308258270690683 1.527311191336968 +1.983960927923840 1.566057872557475 1.097124368694259 1.836378617509256 +1.618783071563571 1.090035168137701 1.540668513218248 1.699169455936280 +1.869332957251255 1.704147220252638 1.568769828453167 1.441877173614598 +1.601048029562842 1.637041270278119 1.452771959861923 1.635033641231002 +1.941721816686671 1.414754213766203 1.027555851246718 1.307418106946078 +init_gen_rand(0) generated randoms [0, 1) +0.421944098478936 0.957408659873361 0.190111011127383 0.632549872377003 +0.616831120464805 0.984390160895336 0.643335574461273 0.739347032660861 +0.228605414113949 0.052731243538065 0.772446323308858 0.114863567000073 +init_gen_rand(1) generated randoms (0, 1] +0.442082451055255 0.015911155919158 0.555755021719280 0.480889172842165 +0.405815741214470 0.960579860093107 0.544101247102252 0.981124035599182 +0.140227132774799 0.237034110268794 0.213695040931430 0.839170314244399 +init_gen_rand(2) generated randoms (0, 1) +0.332262442390655 0.903899992959739 0.711640747980762 0.063694793030814 +0.172136391851721 0.101571453847773 0.098795918939065 0.862664538090786 +0.424853545765161 0.289050971753394 0.135940482595652 0.818087794332543 +init_gen_rand(3) generated randoms [1, 2) +1.826091232914593 1.465927292773019 1.660359847352146 1.718739833849470 +1.771065180901557 1.368636432068282 1.863811540991485 1.450138787059149 +1.210643354130650 1.794497423503101 1.919954502126080 1.705753029324391 +init_gen_rand(4) generated randoms [0, 1) +0.591142320356478 0.682511093445485 0.830635683995555 0.045933005613670 +0.957981351055883 0.998593638748638 0.261010607596259 0.094700410165497 +0.348077144635012 0.093054819035855 0.311048659827044 0.021348057917652 +init_gen_rand(5) generated randoms (0, 1] +0.331906141590510 0.431204104083267 0.788026765142320 0.107886042968458 +0.331527448463003 0.223260642753400 0.007213097307934 0.940896681940139 +0.077929885744811 0.684439050487772 0.109261760919377 0.512024787196714 +init_gen_rand(6) generated randoms (0, 1) +0.086727908860750 0.284816522568750 0.783013004472519 0.229535563590499 +0.093432866683381 0.364565246345040 0.494017414358864 0.803305863215613 +0.788653835242992 0.922761141678804 0.603919272593562 0.788796637744219 +init_gen_rand(7) generated randoms [1, 2) +1.778523707021504 1.248207063555905 1.798746266980932 1.774778978569397 +1.283133909883287 1.058175568317275 1.457509817550994 1.917955442286553 +1.058388185162171 1.436124085351361 1.917752212446983 1.537464700889863 +init_gen_rand(8) generated randoms [0, 1) +0.685029103155941 0.295351060999472 0.218722190918758 0.378128847153547 +0.529121671696936 0.043642106599858 0.358345494757522 0.123779142473599 +0.258723785570372 0.160266608630971 0.059760426307412 0.011024341145846 +init_gen_rand(9) generated randoms (0, 1] +0.187705455519874 0.288813617791865 0.319144513420439 0.543793275682785 +0.729974326285441 0.096176988807451 0.149483086734216 0.406780899369491 +0.480468469680181 0.495446775981617 0.936398273640683 0.736141431769042 +init_gen_rand(10) generated randoms (0, 1) +0.098793997907986 0.346927888725101 0.983796950114385 0.543851457918610 +0.189272048998960 0.085990450161610 0.581299384058312 0.469887435507086 +0.503662110237420 0.076827081362742 0.114442155060919 0.392405568608614 +init_gen_rand(11) generated randoms [1, 2) +1.461406803678148 1.008787442315979 1.495787816510884 1.850246204845500 +1.477408138299116 1.407988286263545 1.622835436679617 1.766231688195076 +1.987094461308092 1.285715440397025 1.499605055070014 1.987458693012325 +init_gen_rand(12) generated randoms [0, 1) +0.977273334486815 0.817637465453976 0.933354490620283 0.830468185653900 +0.605770981536066 0.028749014476501 0.277316311221838 0.950378026924744 +0.597681054940624 0.687860093352914 0.737466170815903 0.617074154107175 +init_gen_rand(13) generated randoms (0, 1] +0.985306059423489 0.587893550647618 0.296309318706623 0.819842983851756 +0.320426478536460 0.929807705806558 0.430329523388835 0.297844671874719 +0.944917586569726 0.021809686937685 0.408661365695584 0.409732815519562 +init_gen_rand(14) generated randoms (0, 1) +0.420644963976671 0.532468710959390 0.598367781769275 0.510776290609494 +0.277891395737916 0.451234461570111 0.810719706008020 0.286098456126895 +0.934654417060261 0.602795625817081 0.164620902367937 0.983228091124433 +init_gen_rand(15) generated randoms [1, 2) +1.502740389456393 1.532765164299389 1.111885848398497 1.056573211355714 +1.594966901759657 1.922699489051994 1.789423564625162 1.771039785211392 +1.807070109362501 1.410045291783796 1.382204924927806 1.557534994317295 +init_gen_rand(16) generated randoms [0, 1) +0.470649801641298 0.616759675824380 0.403786737982776 0.381395979355409 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1.286913926992240 1.685376952896717 +1.114921493298527 1.483647118849966 1.271549161988442 1.178171783721514 +1.879458718382982 1.055612829529943 1.959653206466555 1.966549267065608 +1.823113569060532 1.598472963193942 1.717943347498708 1.788611246842354 +1.785607807089060 1.935863903082454 1.174960077680216 1.886361632047457 +1.405052391691461 1.935248078463915 1.852231404234931 1.314888994372923 +1.323584735475146 1.004988321827554 1.684950479733927 1.759059116079779 +1.328234024028569 1.405490947199401 1.813953499561161 1.753783570407989 +1.460025291518580 1.071700633164818 1.566616486396957 1.506487957528125 +1.486016119187150 1.353043411988975 1.013118639349355 1.538394604806296 +1.606680086865212 1.249277564072503 1.663765995782528 1.075456171683636 +1.781575786787980 1.029034917780994 1.259428008004228 1.492390767384672 +1.098738030341307 1.269272999886151 1.232438465676879 1.209900488655003 +1.969091919854231 1.088964432565811 1.913960592307423 1.105495417415797 +1.135007125702042 1.665540160018957 1.381740847844799 1.879101210905876 +1.624704899913272 1.967298191224754 1.656823557849005 1.185334551587790 +1.484105266625636 1.493209598339335 1.686502880240643 1.096292070043313 +1.619571097993498 1.195610252532715 1.319269375125530 1.315527311257645 +1.823012980563282 1.921849186157530 1.482471534309858 1.686347999576689 +init_gen_rand(0) generated randoms [0, 1) +0.765181698622537 0.745246305991537 0.568323803250302 0.827824719028969 +0.101178624490813 0.347354743836463 0.097191252474847 0.915503700557514 +0.198507374913141 0.056820215705049 0.949530905017576 0.438802247136309 +init_gen_rand(1) generated randoms (0, 1] +0.194901719878278 0.704504802589133 0.661425206834088 0.657149314391731 +0.186843699820924 0.077986495572482 0.086200777814610 0.527940743534187 +0.299184565757858 0.739601976621067 0.012431977952007 0.347952208466035 +init_gen_rand(2) generated randoms (0, 1) +0.075533231096734 0.307354304506435 0.966527714678182 0.186457407750199 +0.644960401845214 0.314541181851816 0.453434663290944 0.440182700666382 +0.601386637833244 0.559156405302471 0.984424835383663 0.999128106108649 +init_gen_rand(3) generated randoms [1, 2) +1.492018114697780 1.890020212160121 1.245108278636401 1.076281116689201 +1.452912992227328 1.968601111847805 1.201521801181943 1.126832182196626 +1.695974245608814 1.611186964340638 1.955708296329818 1.210756230417589 +init_gen_rand(4) generated randoms [0, 1) +0.404446092837087 0.762445918898612 0.403741481094674 0.407650347885022 +0.124416429160289 0.011233840029980 0.618571154323500 0.461122646194172 +0.991303052539951 0.330562747526625 0.752772140969431 0.398027333179694 +init_gen_rand(5) generated randoms (0, 1] +0.109001222977698 0.210206723085946 0.683579921697138 0.119935382322660 +0.691957239677849 0.444409500203215 0.380763396888432 0.291656046710515 +0.870460053910269 0.236025682714543 0.559036299162257 0.342945413589363 +init_gen_rand(6) generated randoms (0, 1) +0.078381323455834 0.011699383992331 0.443109769311707 0.528539988698759 +0.415165193750453 0.023859791355018 0.667715479524992 0.863242539404107 +0.650670970328711 0.775510845357363 0.491547072216528 0.622211856455525 +init_gen_rand(7) generated randoms [1, 2) +1.584934805509316 1.676650238560128 1.325851502255890 1.276580470236778 +1.610600411911038 1.863296998157230 1.548340681088135 1.199033296390817 +1.899963452719032 1.044715319922058 1.054712159521490 1.162008994228031 +init_gen_rand(8) generated randoms [0, 1) +0.993087689380468 0.151694904269749 0.418651866233654 0.116025502289459 +0.783078619170259 0.235562258747579 0.496284822061449 0.212042411542110 +0.413707988859745 0.779160118542302 0.983189708502100 0.372500143880130 +init_gen_rand(9) generated randoms (0, 1] +0.282947982966924 0.179393383854032 0.086727286066172 0.564683359419456 +0.459961978215347 0.568495118639881 0.951889116009463 0.565191775861626 +0.604064217572851 0.386086130527072 0.465369030315200 0.650437732951148 +init_gen_rand(10) generated randoms (0, 1) +0.404761365582273 0.154806542056355 0.100200757486543 0.330039633182131 +0.147320225666558 0.650585900324658 0.687289496381154 0.596462000561654 +0.509626564029628 0.044124986252273 0.584995607733763 0.997955242203390 +init_gen_rand(11) generated randoms [1, 2) +1.949534075530223 1.749223075302722 1.441445706072386 1.888453719616569 +1.880186623524096 1.103259611051816 1.952616460650550 1.111848369225773 +1.172651548435438 1.834338861987819 1.104088773502243 1.507518352519993 +init_gen_rand(12) generated randoms [0, 1) +0.052650487310517 0.395536639853791 0.168785774512398 0.053515488765646 +0.217241512484666 0.303445331823205 0.222180922033841 0.161149424473557 +0.184475531515527 0.902208045549648 0.847056488614387 0.309018859064990 +init_gen_rand(13) generated randoms (0, 1] +0.973715778804144 0.318106178587077 0.550007669382480 0.275705172377627 +0.150396480159389 0.939084492074700 0.801092172170056 0.283353384863843 +0.133465798903162 0.605691053031846 0.749663080542232 0.088437762113786 +init_gen_rand(14) generated randoms (0, 1) +0.406939354190244 0.845881531792185 0.274995087134765 0.679278999119130 +0.337862594866596 0.443640591780940 0.714052020386318 0.836651939558780 +0.671162535935649 0.848525372393848 0.138786969015979 0.953465343634057 +init_gen_rand(15) generated randoms [1, 2) +1.067093993646144 1.850924716687146 1.429231073178040 1.636396685323697 +1.105412073865045 1.210032201642627 1.979586592960941 1.145551718005026 +1.520506588279160 1.781928096273893 1.362878128916263 1.650050661470644 +init_gen_rand(16) generated randoms [0, 1) +0.180546093331636 0.138655300154890 0.301233148539964 0.569501474140356 +0.596206484700007 0.922474129190981 0.388092195335005 0.500671429936854 +0.674375041605038 0.620240442810709 0.936833865719104 0.932014322970933 +init_gen_rand(17) generated randoms (0, 1] +0.543913232352891 0.077207633047800 0.208463691837219 0.404261569755241 +0.074803177834139 0.787466269917197 0.197723832988593 0.653543764877567 +0.018842481297696 0.396566918000936 0.363016138264126 0.911004558439271 +init_gen_rand(18) generated randoms (0, 1) +0.971145432607785 0.939036408534919 0.731639159839990 0.689030721750226 +0.009939267817058 0.801742263002830 0.688516010391608 0.827135228918788 +0.017555728748372 0.135131796395826 0.307032060353549 0.253574644053649 +init_gen_rand(19) generated randoms [1, 2) +1.206359927616818 1.384099300915000 1.324799613402432 1.613919654852769 +1.481833753473305 1.240074768871680 1.758993934916584 1.942388435239905 +1.384200053935697 1.743561097833459 1.833415104799114 1.655249068290933 +init_by_array {1, 2, 3, 4} generated randoms [1, 2) +1.892883535970683 1.412729648325166 1.671331522024335 1.491754256116798 +1.640782364538883 1.138537372127294 1.799409142764807 1.163684350755241 +1.229925960807332 1.849274940142888 1.905288256013054 1.455444393466866 +1.466476479491652 1.125487060817920 1.520577518909817 1.183518247040530 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+1.551628625810002 1.550057966114712 1.416505770946726 1.231970066424740 +1.092160638223533 1.283448196578236 1.038868859610745 1.758048085694754 +1.509281303836366 1.419558701507723 1.615346799112448 1.365160196008440 diff --git a/apps/medlda_release/dSFMT/dSFMT.c b/apps/medlda_release/dSFMT/dSFMT.c new file mode 100644 index 0000000..e86449a --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT.c @@ -0,0 +1,633 @@ +/** + * @file dSFMT.c + * @brief double precision SIMD-oriented Fast Mersenne Twister (dSFMT) + * based on IEEE 754 format. + * + * @author Mutsuo Saito (Hiroshima University) + * @author Makoto Matsumoto (Hiroshima University) + * + * Copyright (C) 2007,2008 Mutsuo Saito, Makoto Matsumoto and Hiroshima + * University. All rights reserved. + * + * The new BSD License is applied to this software, see LICENSE.txt + */ +#include +#include +#include +#include "dSFMT-params.h" +#include "dSFMT-common.h" + +#if defined(__cplusplus) +extern "C" { +#endif + +/** dsfmt internal state vector */ +dsfmt_t dsfmt_global_data; +/** dsfmt mexp for check */ +static const int dsfmt_mexp = DSFMT_MEXP; + +/*---------------- + STATIC FUNCTIONS + ----------------*/ +inline static uint32_t ini_func1(uint32_t x); +inline static uint32_t ini_func2(uint32_t x); +inline static void gen_rand_array_c1o2(dsfmt_t *dsfmt, w128_t *array, + int size); +inline static void gen_rand_array_c0o1(dsfmt_t *dsfmt, w128_t *array, + int size); +inline static void gen_rand_array_o0c1(dsfmt_t *dsfmt, w128_t *array, + int size); +inline static void gen_rand_array_o0o1(dsfmt_t *dsfmt, w128_t *array, + int size); +inline static int idxof(int i); +static void initial_mask(dsfmt_t *dsfmt); +static void period_certification(dsfmt_t *dsfmt); + +#if defined(HAVE_SSE2) +/** 1 in 64bit for sse2 */ +static const union X128I_T sse2_int_one = {{1, 1}}; +/** 2.0 double for sse2 */ +static const union X128D_T sse2_double_two = {{2.0, 2.0}}; +/** -1.0 double for sse2 */ +static const union X128D_T sse2_double_m_one = {{-1.0, -1.0}}; +#endif + +/** + * This function simulate a 32-bit array index overlapped to 64-bit + * array of LITTLE ENDIAN in BIG ENDIAN machine. + */ +#if defined(DSFMT_BIG_ENDIAN) +inline static int idxof(int i) { + return i ^ 1; +} +#else +inline static int idxof(int i) { + return i; +} +#endif + +#if defined(HAVE_SSE2) +/** + * This function converts the double precision floating point numbers which + * distribute uniformly in the range [1, 2) to those which distribute uniformly + * in the range [0, 1). + * @param w 128bit stracture of double precision floating point numbers (I/O) + */ +inline static void convert_c0o1(w128_t *w) { + w->sd = _mm_add_pd(w->sd, sse2_double_m_one.d128); +} + +/** + * This function converts the double precision floating point numbers which + * distribute uniformly in the range [1, 2) to those which distribute uniformly + * in the range (0, 1]. + * @param w 128bit stracture of double precision floating point numbers (I/O) + */ +inline static void convert_o0c1(w128_t *w) { + w->sd = _mm_sub_pd(sse2_double_two.d128, w->sd); +} + +/** + * This function converts the double precision floating point numbers which + * distribute uniformly in the range [1, 2) to those which distribute uniformly + * in the range (0, 1). + * @param w 128bit stracture of double precision floating point numbers (I/O) + */ +inline static void convert_o0o1(w128_t *w) { + w->si = _mm_or_si128(w->si, sse2_int_one.i128); + w->sd = _mm_add_pd(w->sd, sse2_double_m_one.d128); +} +#else /* standard C and altivec */ +/** + * This function converts the double precision floating point numbers which + * distribute uniformly in the range [1, 2) to those which distribute uniformly + * in the range [0, 1). + * @param w 128bit stracture of double precision floating point numbers (I/O) + */ +inline static void convert_c0o1(w128_t *w) { + w->d[0] -= 1.0; + w->d[1] -= 1.0; +} + +/** + * This function converts the double precision floating point numbers which + * distribute uniformly in the range [1, 2) to those which distribute uniformly + * in the range (0, 1]. + * @param w 128bit stracture of double precision floating point numbers (I/O) + */ +inline static void convert_o0c1(w128_t *w) { + w->d[0] = 2.0 - w->d[0]; + w->d[1] = 2.0 - w->d[1]; +} + +/** + * This function converts the double precision floating point numbers which + * distribute uniformly in the range [1, 2) to those which distribute uniformly + * in the range (0, 1). + * @param w 128bit stracture of double precision floating point numbers (I/O) + */ +inline static void convert_o0o1(w128_t *w) { + w->u[0] |= 1; + w->u[1] |= 1; + w->d[0] -= 1.0; + w->d[1] -= 1.0; +} +#endif + +/** + * This function fills the user-specified array with double precision + * floating point pseudorandom numbers of the IEEE 754 format. + * @param dsfmt dsfmt state vector. + * @param array an 128-bit array to be filled by pseudorandom numbers. + * @param size number of 128-bit pseudorandom numbers to be generated. + */ +inline static void gen_rand_array_c1o2(dsfmt_t *dsfmt, w128_t *array, + int size) { + int i, j; + w128_t lung; + + lung = dsfmt->status[DSFMT_N]; + do_recursion(&array[0], &dsfmt->status[0], &dsfmt->status[DSFMT_POS1], + &lung); + for (i = 1; i < DSFMT_N - DSFMT_POS1; i++) { + do_recursion(&array[i], &dsfmt->status[i], + &dsfmt->status[i + DSFMT_POS1], &lung); + } + for (; i < DSFMT_N; i++) { + do_recursion(&array[i], &dsfmt->status[i], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + } + for (; i < size - DSFMT_N; i++) { + do_recursion(&array[i], &array[i - DSFMT_N], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + } + for (j = 0; j < 2 * DSFMT_N - size; j++) { + dsfmt->status[j] = array[j + size - DSFMT_N]; + } + for (; i < size; i++, j++) { + do_recursion(&array[i], &array[i - DSFMT_N], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + dsfmt->status[j] = array[i]; + } + dsfmt->status[DSFMT_N] = lung; +} + +/** + * This function fills the user-specified array with double precision + * floating point pseudorandom numbers of the IEEE 754 format. + * @param dsfmt dsfmt state vector. + * @param array an 128-bit array to be filled by pseudorandom numbers. + * @param size number of 128-bit pseudorandom numbers to be generated. + */ +inline static void gen_rand_array_c0o1(dsfmt_t *dsfmt, w128_t *array, + int size) { + int i, j; + w128_t lung; + + lung = dsfmt->status[DSFMT_N]; + do_recursion(&array[0], &dsfmt->status[0], &dsfmt->status[DSFMT_POS1], + &lung); + for (i = 1; i < DSFMT_N - DSFMT_POS1; i++) { + do_recursion(&array[i], &dsfmt->status[i], + &dsfmt->status[i + DSFMT_POS1], &lung); + } + for (; i < DSFMT_N; i++) { + do_recursion(&array[i], &dsfmt->status[i], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + } + for (; i < size - DSFMT_N; i++) { + do_recursion(&array[i], &array[i - DSFMT_N], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + convert_c0o1(&array[i - DSFMT_N]); + } + for (j = 0; j < 2 * DSFMT_N - size; j++) { + dsfmt->status[j] = array[j + size - DSFMT_N]; + } + for (; i < size; i++, j++) { + do_recursion(&array[i], &array[i - DSFMT_N], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + dsfmt->status[j] = array[i]; + convert_c0o1(&array[i - DSFMT_N]); + } + for (i = size - DSFMT_N; i < size; i++) { + convert_c0o1(&array[i]); + } + dsfmt->status[DSFMT_N] = lung; +} + +/** + * This function fills the user-specified array with double precision + * floating point pseudorandom numbers of the IEEE 754 format. + * @param dsfmt dsfmt state vector. + * @param array an 128-bit array to be filled by pseudorandom numbers. + * @param size number of 128-bit pseudorandom numbers to be generated. + */ +inline static void gen_rand_array_o0o1(dsfmt_t *dsfmt, w128_t *array, + int size) { + int i, j; + w128_t lung; + + lung = dsfmt->status[DSFMT_N]; + do_recursion(&array[0], &dsfmt->status[0], &dsfmt->status[DSFMT_POS1], + &lung); + for (i = 1; i < DSFMT_N - DSFMT_POS1; i++) { + do_recursion(&array[i], &dsfmt->status[i], + &dsfmt->status[i + DSFMT_POS1], &lung); + } + for (; i < DSFMT_N; i++) { + do_recursion(&array[i], &dsfmt->status[i], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + } + for (; i < size - DSFMT_N; i++) { + do_recursion(&array[i], &array[i - DSFMT_N], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + convert_o0o1(&array[i - DSFMT_N]); + } + for (j = 0; j < 2 * DSFMT_N - size; j++) { + dsfmt->status[j] = array[j + size - DSFMT_N]; + } + for (; i < size; i++, j++) { + do_recursion(&array[i], &array[i - DSFMT_N], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + dsfmt->status[j] = array[i]; + convert_o0o1(&array[i - DSFMT_N]); + } + for (i = size - DSFMT_N; i < size; i++) { + convert_o0o1(&array[i]); + } + dsfmt->status[DSFMT_N] = lung; +} + +/** + * This function fills the user-specified array with double precision + * floating point pseudorandom numbers of the IEEE 754 format. + * @param dsfmt dsfmt state vector. + * @param array an 128-bit array to be filled by pseudorandom numbers. + * @param size number of 128-bit pseudorandom numbers to be generated. + */ +inline static void gen_rand_array_o0c1(dsfmt_t *dsfmt, w128_t *array, + int size) { + int i, j; + w128_t lung; + + lung = dsfmt->status[DSFMT_N]; + do_recursion(&array[0], &dsfmt->status[0], &dsfmt->status[DSFMT_POS1], + &lung); + for (i = 1; i < DSFMT_N - DSFMT_POS1; i++) { + do_recursion(&array[i], &dsfmt->status[i], + &dsfmt->status[i + DSFMT_POS1], &lung); + } + for (; i < DSFMT_N; i++) { + do_recursion(&array[i], &dsfmt->status[i], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + } + for (; i < size - DSFMT_N; i++) { + do_recursion(&array[i], &array[i - DSFMT_N], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + convert_o0c1(&array[i - DSFMT_N]); + } + for (j = 0; j < 2 * DSFMT_N - size; j++) { + dsfmt->status[j] = array[j + size - DSFMT_N]; + } + for (; i < size; i++, j++) { + do_recursion(&array[i], &array[i - DSFMT_N], + &array[i + DSFMT_POS1 - DSFMT_N], &lung); + dsfmt->status[j] = array[i]; + convert_o0c1(&array[i - DSFMT_N]); + } + for (i = size - DSFMT_N; i < size; i++) { + convert_o0c1(&array[i]); + } + dsfmt->status[DSFMT_N] = lung; +} + +/** + * 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_func1(uint32_t x) { + return (x ^ (x >> 27)) * (uint32_t)1664525UL; +} + +/** + * 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_t)1566083941UL; +} + +/** + * This function initializes the internal state array to fit the IEEE + * 754 format. + * @param dsfmt dsfmt state vector. + */ +static void initial_mask(dsfmt_t *dsfmt) { + int i; + uint64_t *psfmt; + + psfmt = &dsfmt->status[0].u[0]; + for (i = 0; i < DSFMT_N * 2; i++) { + psfmt[i] = (psfmt[i] & DSFMT_LOW_MASK) | DSFMT_HIGH_CONST; + } +} + +/** + * This function certificate the period of 2^{SFMT_MEXP}-1. + * @param dsfmt dsfmt state vector. + */ +static void period_certification(dsfmt_t *dsfmt) { + uint64_t pcv[2] = {DSFMT_PCV1, DSFMT_PCV2}; + uint64_t tmp[2]; + uint64_t inner; + int i; +#if (DSFMT_PCV2 & 1) != 1 + int j; + uint64_t work; +#endif + + tmp[0] = (dsfmt->status[DSFMT_N].u[0] ^ DSFMT_FIX1); + tmp[1] = (dsfmt->status[DSFMT_N].u[1] ^ DSFMT_FIX2); + + inner = tmp[0] & pcv[0]; + inner ^= tmp[1] & pcv[1]; + for (i = 32; i > 0; i >>= 1) { + inner ^= inner >> i; + } + inner &= 1; + /* check OK */ + if (inner == 1) { + return; + } + /* check NG, and modification */ +#if (DSFMT_PCV2 & 1) == 1 + dsfmt->status[DSFMT_N].u[1] ^= 1; +#else + for (i = 1; i >= 0; i--) { + work = 1; + for (j = 0; j < 64; j++) { + if ((work & pcv[i]) != 0) { + dsfmt->status[DSFMT_N].u[i] ^= work; + return; + } + work = work << 1; + } + } +#endif + return; +} + +/*---------------- + PUBLIC FUNCTIONS + ----------------*/ +/** + * This function returns the identification string. The string shows + * the Mersenne exponent, and all parameters of this generator. + * @return id string. + */ +const char *dsfmt_get_idstring(void) { + return DSFMT_IDSTR; +} + +/** + * This function returns the minimum size of array used for \b + * fill_array functions. + * @return minimum size of array used for fill_array functions. + */ +int dsfmt_get_min_array_size(void) { + return DSFMT_N64; +} + +/** + * This function fills the internal state array with double precision + * floating point pseudorandom numbers of the IEEE 754 format. + * @param dsfmt dsfmt state vector. + */ +void dsfmt_gen_rand_all(dsfmt_t *dsfmt) { + int i; + w128_t lung; + + lung = dsfmt->status[DSFMT_N]; + do_recursion(&dsfmt->status[0], &dsfmt->status[0], + &dsfmt->status[DSFMT_POS1], &lung); + for (i = 1; i < DSFMT_N - DSFMT_POS1; i++) { + do_recursion(&dsfmt->status[i], &dsfmt->status[i], + &dsfmt->status[i + DSFMT_POS1], &lung); + } + for (; i < DSFMT_N; i++) { + do_recursion(&dsfmt->status[i], &dsfmt->status[i], + &dsfmt->status[i + DSFMT_POS1 - DSFMT_N], &lung); + } + dsfmt->status[DSFMT_N] = lung; +} + +/** + * This function generates double precision floating point + * pseudorandom numbers which distribute in the range [1, 2) to the + * specified array[] by one call. The number of pseudorandom numbers + * is specified by the argument \b size, which must be at least (SFMT_MEXP + * / 128) * 2 and a multiple of two. The function + * get_min_array_size() returns this minimum size. The generation by + * this function is much faster than the following fill_array_xxx functions. + * + * For initialization, init_gen_rand() or init_by_array() must be called + * before the first call of this function. This function can not be + * used after calling genrand_xxx functions, without initialization. + * + * @param dsfmt dsfmt state vector. + * @param array an array where pseudorandom numbers are filled + * by this function. The pointer to the array must be "aligned" + * (namely, must be a multiple of 16) in the SIMD version, since it + * refers to the address of a 128-bit integer. In the standard C + * version, the pointer is arbitrary. + * + * @param size the number of 64-bit pseudorandom integers to be + * generated. size must be a multiple of 2, and greater than or equal + * to (SFMT_MEXP / 128) * 2. + * + * @note \b memalign or \b posix_memalign is available to get aligned + * memory. Mac OSX doesn't have these functions, but \b malloc of OSX + * returns the pointer to the aligned memory block. + */ +void dsfmt_fill_array_close1_open2(dsfmt_t *dsfmt, double array[], int size) { + assert(size % 2 == 0); + assert(size >= DSFMT_N64); + gen_rand_array_c1o2(dsfmt, (w128_t *)array, size / 2); +} + +/** + * This function generates double precision floating point + * pseudorandom numbers which distribute in the range (0, 1] to the + * specified array[] by one call. This function is the same as + * fill_array_close1_open2() except the distribution range. + * + * @param dsfmt dsfmt state vector. + * @param array an array where pseudorandom numbers are filled + * by this function. + * @param size the number of pseudorandom numbers to be generated. + * see also \sa fill_array_close1_open2() + */ +void dsfmt_fill_array_open_close(dsfmt_t *dsfmt, double array[], int size) { + assert(size % 2 == 0); + assert(size >= DSFMT_N64); + gen_rand_array_o0c1(dsfmt, (w128_t *)array, size / 2); +} + +/** + * This function generates double precision floating point + * pseudorandom numbers which distribute in the range [0, 1) to the + * specified array[] by one call. This function is the same as + * fill_array_close1_open2() except the distribution range. + * + * @param array an array where pseudorandom numbers are filled + * by this function. + * @param dsfmt dsfmt state vector. + * @param size the number of pseudorandom numbers to be generated. + * see also \sa fill_array_close1_open2() + */ +void dsfmt_fill_array_close_open(dsfmt_t *dsfmt, double array[], int size) { + assert(size % 2 == 0); + assert(size >= DSFMT_N64); + gen_rand_array_c0o1(dsfmt, (w128_t *)array, size / 2); +} + +/** + * This function generates double precision floating point + * pseudorandom numbers which distribute in the range (0, 1) to the + * specified array[] by one call. This function is the same as + * fill_array_close1_open2() except the distribution range. + * + * @param dsfmt dsfmt state vector. + * @param array an array where pseudorandom numbers are filled + * by this function. + * @param size the number of pseudorandom numbers to be generated. + * see also \sa fill_array_close1_open2() + */ +void dsfmt_fill_array_open_open(dsfmt_t *dsfmt, double array[], int size) { + assert(size % 2 == 0); + assert(size >= DSFMT_N64); + gen_rand_array_o0o1(dsfmt, (w128_t *)array, size / 2); +} + +#if defined(__INTEL_COMPILER) +# pragma warning(disable:981) +#endif +/** + * This function initializes the internal state array with a 32-bit + * integer seed. + * @param dsfmt dsfmt state vector. + * @param seed a 32-bit integer used as the seed. + * @param mexp caller's mersenne expornent + */ +void dsfmt_chk_init_gen_rand(dsfmt_t *dsfmt, uint32_t seed, int mexp) { + int i; + uint32_t *psfmt; + + /* make sure caller program is compiled with the same MEXP */ + if (mexp != dsfmt_mexp) { + fprintf(stderr, "DSFMT_MEXP doesn't match with dSFMT.c\n"); + exit(1); + } + psfmt = &dsfmt->status[0].u32[0]; + psfmt[idxof(0)] = seed; + for (i = 1; i < (DSFMT_N + 1) * 4; i++) { + psfmt[idxof(i)] = 1812433253UL + * (psfmt[idxof(i - 1)] ^ (psfmt[idxof(i - 1)] >> 30)) + i; + } + initial_mask(dsfmt); + period_certification(dsfmt); + dsfmt->idx = DSFMT_N64; +} + +/** + * This function initializes the internal state array, + * with an array of 32-bit integers used as the seeds + * @param dsfmt dsfmt state vector. + * @param init_key the array of 32-bit integers, used as a seed. + * @param key_length the length of init_key. + * @param mexp caller's mersenne expornent + */ +void dsfmt_chk_init_by_array(dsfmt_t *dsfmt, uint32_t init_key[], + int key_length, int mexp) { + int i, j, count; + uint32_t r; + uint32_t *psfmt32; + int lag; + int mid; + int size = (DSFMT_N + 1) * 4; /* pulmonary */ + + /* make sure caller program is compiled with the same MEXP */ + if (mexp != dsfmt_mexp) { + fprintf(stderr, "DSFMT_MEXP doesn't match with dSFMT.c\n"); + exit(1); + } + if (size >= 623) { + lag = 11; + } else if (size >= 68) { + lag = 7; + } else if (size >= 39) { + lag = 5; + } else { + lag = 3; + } + mid = (size - lag) / 2; + + psfmt32 = &dsfmt->status[0].u32[0]; + memset(dsfmt->status, 0x8b, sizeof(dsfmt->status)); + if (key_length + 1 > size) { + count = key_length + 1; + } else { + count = size; + } + r = ini_func1(psfmt32[idxof(0)] ^ psfmt32[idxof(mid % size)] + ^ psfmt32[idxof((size - 1) % size)]); + psfmt32[idxof(mid % size)] += r; + r += key_length; + psfmt32[idxof((mid + lag) % size)] += r; + psfmt32[idxof(0)] = r; + count--; + for (i = 1, j = 0; (j < count) && (j < key_length); j++) { + r = ini_func1(psfmt32[idxof(i)] + ^ psfmt32[idxof((i + mid) % size)] + ^ psfmt32[idxof((i + size - 1) % size)]); + psfmt32[idxof((i + mid) % size)] += r; + r += init_key[j] + i; + psfmt32[idxof((i + mid + lag) % size)] += r; + psfmt32[idxof(i)] = r; + i = (i + 1) % size; + } + for (; j < count; j++) { + r = ini_func1(psfmt32[idxof(i)] + ^ psfmt32[idxof((i + mid) % size)] + ^ psfmt32[idxof((i + size - 1) % size)]); + psfmt32[idxof((i + mid) % size)] += r; + r += i; + psfmt32[idxof((i + mid + lag) % size)] += r; + psfmt32[idxof(i)] = r; + i = (i + 1) % size; + } + for (j = 0; j < size; j++) { + r = ini_func2(psfmt32[idxof(i)] + + psfmt32[idxof((i + mid) % size)] + + psfmt32[idxof((i + size - 1) % size)]); + psfmt32[idxof((i + mid) % size)] ^= r; + r -= i; + psfmt32[idxof((i + mid + lag) % size)] ^= r; + psfmt32[idxof(i)] = r; + i = (i + 1) % size; + } + initial_mask(dsfmt); + period_certification(dsfmt); + dsfmt->idx = DSFMT_N64; +} +#if defined(__INTEL_COMPILER) +# pragma warning(default:981) +#endif + +#if defined(__cplusplus) +} +#endif diff --git a/apps/medlda_release/dSFMT/dSFMT.h b/apps/medlda_release/dSFMT/dSFMT.h new file mode 100644 index 0000000..65f1662 --- /dev/null +++ b/apps/medlda_release/dSFMT/dSFMT.h @@ -0,0 +1,636 @@ +#pragma once +/** + * @file dSFMT.h + * + * @brief double precision SIMD oriented Fast Mersenne Twister(dSFMT) + * pseudorandom number generator based on IEEE 754 format. + * + * @author Mutsuo Saito (Hiroshima University) + * @author Makoto Matsumoto (Hiroshima University) + * + * Copyright (C) 2007, 2008 Mutsuo Saito, Makoto Matsumoto and + * Hiroshima University. All rights reserved. + * Copyright (C) 2012 Mutsuo Saito, Makoto Matsumoto, + * Hiroshima University and The University of Tokyo. + * All rights reserved. + * + * The new BSD License is applied to this software. + * see LICENSE.txt + * + * @note We assume that your system has inttypes.h. If your system + * doesn't have inttypes.h, you have to typedef uint32_t and uint64_t, + * and you have to define PRIu64 and PRIx64 in this file as follows: + * @verbatim + typedef unsigned int uint32_t + typedef unsigned long long uint64_t + #define PRIu64 "llu" + #define PRIx64 "llx" +@endverbatim + * uint32_t must be exactly 32-bit unsigned integer type (no more, no + * less), and uint64_t must be exactly 64-bit unsigned integer type. + * PRIu64 and PRIx64 are used for printf function to print 64-bit + * unsigned int and 64-bit unsigned int in hexadecimal format. + */ + +#ifndef DSFMT_H +#define DSFMT_H +#if defined(__cplusplus) +extern "C" { +#endif + +#include +#include + +#if !defined(DSFMT_MEXP) +#ifdef __GNUC__ + #warning "DSFMT_MEXP is not defined. I assume DSFMT_MEXP is 19937." +#endif + #define DSFMT_MEXP 19937 +#endif +/*----------------- + BASIC DEFINITIONS + -----------------*/ +/* Mersenne Exponent. The period of the sequence + * is a multiple of 2^DSFMT_MEXP-1. + * #define DSFMT_MEXP 19937 */ +/** DSFMT generator has an internal state array of 128-bit integers, + * and N is its size. */ +#define DSFMT_N ((DSFMT_MEXP - 128) / 104 + 1) +/** N32 is the size of internal state array when regarded as an array + * of 32-bit integers.*/ +#define DSFMT_N32 (DSFMT_N * 4) +/** N64 is the size of internal state array when regarded as an array + * of 64-bit integers.*/ +#define DSFMT_N64 (DSFMT_N * 2) + +#if !defined(DSFMT_BIG_ENDIAN) +# if defined(__BYTE_ORDER) && defined(__BIG_ENDIAN) +# if __BYTE_ORDER == __BIG_ENDIAN +# define DSFMT_BIG_ENDIAN 1 +# endif +# elif defined(_BYTE_ORDER) && defined(_BIG_ENDIAN) +# if _BYTE_ORDER == _BIG_ENDIAN +# define DSFMT_BIG_ENDIAN 1 +# endif +# elif defined(__BYTE_ORDER__) && defined(__BIG_ENDIAN__) +# if __BYTE_ORDER__ == __BIG_ENDIAN__ +# define DSFMT_BIG_ENDIAN 1 +# endif +# elif defined(BYTE_ORDER) && defined(BIG_ENDIAN) +# if BYTE_ORDER == BIG_ENDIAN +# define DSFMT_BIG_ENDIAN 1 +# endif +# elif defined(__BIG_ENDIAN) || defined(_BIG_ENDIAN) \ + || defined(__BIG_ENDIAN__) || defined(BIG_ENDIAN) +# define DSFMT_BIG_ENDIAN 1 +# endif +#endif + +#if defined(DSFMT_BIG_ENDIAN) && defined(__amd64) +# undef DSFMT_BIG_ENDIAN +#endif + +#if defined(__STDC_VERSION__) && (__STDC_VERSION__ >= 199901L) +# include +#elif defined(_MSC_VER) || defined(__BORLANDC__) +# if !defined(DSFMT_UINT32_DEFINED) && !defined(SFMT_UINT32_DEFINED) +typedef unsigned int uint32_t; +typedef unsigned __int64 uint64_t; +# ifndef UINT64_C +# define UINT64_C(v) (v ## ui64) +# endif +# define DSFMT_UINT32_DEFINED +# if !defined(inline) && !defined(__cplusplus) +# define inline __inline +# endif +# endif +#else +# include +# if !defined(inline) && !defined(__cplusplus) +# if defined(__GNUC__) +# define inline __inline__ +# else +# define inline +# endif +# endif +#endif + +#ifndef PRIu64 +# if defined(_MSC_VER) || defined(__BORLANDC__) +# define PRIu64 "I64u" +# define PRIx64 "I64x" +# else +# define PRIu64 "llu" +# define PRIx64 "llx" +# endif +#endif + +#ifndef UINT64_C +# define UINT64_C(v) (v ## ULL) +#endif + +/*------------------------------------------ + 128-bit SIMD like data type for standard C + ------------------------------------------*/ +#if defined(HAVE_ALTIVEC) +# if !defined(__APPLE__) +# include +# endif +/** 128-bit data structure */ +union W128_T { + vector unsigned int s; + uint64_t u[2]; + uint32_t u32[4]; + double d[2]; +}; + +#elif defined(HAVE_SSE2) +# include + +/** 128-bit data structure */ +union W128_T { + __m128i si; + __m128d sd; + uint64_t u[2]; + uint32_t u32[4]; + double d[2]; +}; +#else /* standard C */ +/** 128-bit data structure */ +union W128_T { + uint64_t u[2]; + uint32_t u32[4]; + double d[2]; +}; +#endif + +/** 128-bit data type */ +typedef union W128_T w128_t; + +/** the 128-bit internal state array */ +struct DSFMT_T { + w128_t status[DSFMT_N + 1]; + int idx; +}; +typedef struct DSFMT_T dsfmt_t; + +/** dsfmt internal state vector */ +extern dsfmt_t dsfmt_global_data; +/** dsfmt mexp for check */ +extern const int dsfmt_global_mexp; + +void dsfmt_gen_rand_all(dsfmt_t *dsfmt); +void dsfmt_fill_array_open_close(dsfmt_t *dsfmt, double array[], int size); +void dsfmt_fill_array_close_open(dsfmt_t *dsfmt, double array[], int size); +void dsfmt_fill_array_open_open(dsfmt_t *dsfmt, double array[], int size); +void dsfmt_fill_array_close1_open2(dsfmt_t *dsfmt, double array[], int size); +void dsfmt_chk_init_gen_rand(dsfmt_t *dsfmt, uint32_t seed, int mexp); +void dsfmt_chk_init_by_array(dsfmt_t *dsfmt, uint32_t init_key[], + int key_length, int mexp); +const char *dsfmt_get_idstring(void); +int dsfmt_get_min_array_size(void); + +#if defined(__GNUC__) +# define DSFMT_PRE_INLINE inline static +# define DSFMT_PST_INLINE __attribute__((always_inline)) +#elif defined(_MSC_VER) && _MSC_VER >= 1200 +# define DSFMT_PRE_INLINE __forceinline static +# define DSFMT_PST_INLINE +#else +# define DSFMT_PRE_INLINE inline static +# define DSFMT_PST_INLINE +#endif +DSFMT_PRE_INLINE uint32_t dsfmt_genrand_uint32(dsfmt_t *dsfmt) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double dsfmt_genrand_close1_open2(dsfmt_t *dsfmt) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double dsfmt_genrand_close_open(dsfmt_t *dsfmt) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double dsfmt_genrand_open_close(dsfmt_t *dsfmt) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double dsfmt_genrand_open_open(dsfmt_t *dsfmt) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE uint32_t dsfmt_gv_genrand_uint32(void) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double dsfmt_gv_genrand_close1_open2(void) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double dsfmt_gv_genrand_close_open(void) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double dsfmt_gv_genrand_open_close(void) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double dsfmt_gv_genrand_open_open(void) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void dsfmt_gv_fill_array_open_close(double array[], int size) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void dsfmt_gv_fill_array_close_open(double array[], int size) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void dsfmt_gv_fill_array_open_open(double array[], int size) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void dsfmt_gv_fill_array_close1_open2(double array[], int size) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void dsfmt_gv_init_gen_rand(uint32_t seed) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void dsfmt_gv_init_by_array(uint32_t init_key[], + int key_length) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void dsfmt_init_gen_rand(dsfmt_t *dsfmt, uint32_t seed) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void dsfmt_init_by_array(dsfmt_t *dsfmt, uint32_t init_key[], + int key_length) DSFMT_PST_INLINE; + +/** + * This function generates and returns unsigned 32-bit integer. + * This is slower than SFMT, only for convenience usage. + * dsfmt_init_gen_rand() or dsfmt_init_by_array() must be called + * before this function. + * @param dsfmt dsfmt internal state date + * @return double precision floating point pseudorandom number + */ +inline static uint32_t dsfmt_genrand_uint32(dsfmt_t *dsfmt) { + uint32_t r; + uint64_t *psfmt64 = &dsfmt->status[0].u[0]; + + if (dsfmt->idx >= DSFMT_N64) { + dsfmt_gen_rand_all(dsfmt); + dsfmt->idx = 0; + } + r = psfmt64[dsfmt->idx++] & 0xffffffffU; + return r; +} + +/** + * This function generates and returns double precision pseudorandom + * number which distributes uniformly in the range [1, 2). This is + * the primitive and faster than generating numbers in other ranges. + * dsfmt_init_gen_rand() or dsfmt_init_by_array() must be called + * before this function. + * @param dsfmt dsfmt internal state date + * @return double precision floating point pseudorandom number + */ +inline static double dsfmt_genrand_close1_open2(dsfmt_t *dsfmt) { + double r; + double *psfmt64 = &dsfmt->status[0].d[0]; + + if (dsfmt->idx >= DSFMT_N64) { + dsfmt_gen_rand_all(dsfmt); + dsfmt->idx = 0; + } + r = psfmt64[dsfmt->idx++]; + return r; +} + +/** + * This function generates and returns unsigned 32-bit integer. + * This is slower than SFMT, only for convenience usage. + * dsfmt_gv_init_gen_rand() or dsfmt_gv_init_by_array() must be called + * before this function. This function uses \b global variables. + * @return double precision floating point pseudorandom number + */ +inline static uint32_t dsfmt_gv_genrand_uint32(void) { + return dsfmt_genrand_uint32(&dsfmt_global_data); +} + +/** + * This function generates and returns double precision pseudorandom + * number which distributes uniformly in the range [1, 2). + * dsfmt_gv_init_gen_rand() or dsfmt_gv_init_by_array() must be called + * before this function. This function uses \b global variables. + * @return double precision floating point pseudorandom number + */ +inline static double dsfmt_gv_genrand_close1_open2(void) { + return dsfmt_genrand_close1_open2(&dsfmt_global_data); +} + +/** + * This function generates and returns double precision pseudorandom + * number which distributes uniformly in the range [0, 1). + * dsfmt_init_gen_rand() or dsfmt_init_by_array() must be called + * before this function. + * @param dsfmt dsfmt internal state date + * @return double precision floating point pseudorandom number + */ +inline static double dsfmt_genrand_close_open(dsfmt_t *dsfmt) { + return dsfmt_genrand_close1_open2(dsfmt) - 1.0; +} + +/** + * This function generates and returns double precision pseudorandom + * number which distributes uniformly in the range [0, 1). + * dsfmt_gv_init_gen_rand() or dsfmt_gv_init_by_array() must be called + * before this function. This function uses \b global variables. + * @return double precision floating point pseudorandom number + */ +inline static double dsfmt_gv_genrand_close_open(void) { + return dsfmt_gv_genrand_close1_open2() - 1.0; +} + +/** + * This function generates and returns double precision pseudorandom + * number which distributes uniformly in the range (0, 1]. + * dsfmt_init_gen_rand() or dsfmt_init_by_array() must be called + * before this function. + * @param dsfmt dsfmt internal state date + * @return double precision floating point pseudorandom number + */ +inline static double dsfmt_genrand_open_close(dsfmt_t *dsfmt) { + return 2.0 - dsfmt_genrand_close1_open2(dsfmt); +} + +/** + * This function generates and returns double precision pseudorandom + * number which distributes uniformly in the range (0, 1]. + * dsfmt_gv_init_gen_rand() or dsfmt_gv_init_by_array() must be called + * before this function. This function uses \b global variables. + * @return double precision floating point pseudorandom number + */ +inline static double dsfmt_gv_genrand_open_close(void) { + return 2.0 - dsfmt_gv_genrand_close1_open2(); +} + +/** + * This function generates and returns double precision pseudorandom + * number which distributes uniformly in the range (0, 1). + * dsfmt_init_gen_rand() or dsfmt_init_by_array() must be called + * before this function. + * @param dsfmt dsfmt internal state date + * @return double precision floating point pseudorandom number + */ +inline static double dsfmt_genrand_open_open(dsfmt_t *dsfmt) { + double *dsfmt64 = &dsfmt->status[0].d[0]; + union { + double d; + uint64_t u; + } r; + + if (dsfmt->idx >= DSFMT_N64) { + dsfmt_gen_rand_all(dsfmt); + dsfmt->idx = 0; + } + r.d = dsfmt64[dsfmt->idx++]; + r.u |= 1; + return r.d - 1.0; +} + +/** + * This function generates and returns double precision pseudorandom + * number which distributes uniformly in the range (0, 1). + * dsfmt_gv_init_gen_rand() or dsfmt_gv_init_by_array() must be called + * before this function. This function uses \b global variables. + * @return double precision floating point pseudorandom number + */ +inline static double dsfmt_gv_genrand_open_open(void) { + return dsfmt_genrand_open_open(&dsfmt_global_data); +} + +/** + * This function generates double precision floating point + * pseudorandom numbers which distribute in the range [1, 2) to the + * specified array[] by one call. This function is the same as + * dsfmt_fill_array_close1_open2() except that this function uses + * \b global variables. + * @param array an array where pseudorandom numbers are filled + * by this function. + * @param size the number of pseudorandom numbers to be generated. + * see also \sa dsfmt_fill_array_close1_open2() + */ +inline static void dsfmt_gv_fill_array_close1_open2(double array[], int size) { + dsfmt_fill_array_close1_open2(&dsfmt_global_data, array, size); +} + +/** + * This function generates double precision floating point + * pseudorandom numbers which distribute in the range (0, 1] to the + * specified array[] by one call. This function is the same as + * dsfmt_gv_fill_array_close1_open2() except the distribution range. + * This function uses \b global variables. + * @param array an array where pseudorandom numbers are filled + * by this function. + * @param size the number of pseudorandom numbers to be generated. + * see also \sa dsfmt_fill_array_close1_open2() and \sa + * dsfmt_gv_fill_array_close1_open2() + */ +inline static void dsfmt_gv_fill_array_open_close(double array[], int size) { + dsfmt_fill_array_open_close(&dsfmt_global_data, array, size); +} + +/** + * This function generates double precision floating point + * pseudorandom numbers which distribute in the range [0, 1) to the + * specified array[] by one call. This function is the same as + * dsfmt_gv_fill_array_close1_open2() except the distribution range. + * This function uses \b global variables. + * @param array an array where pseudorandom numbers are filled + * by this function. + * @param size the number of pseudorandom numbers to be generated. + * see also \sa dsfmt_fill_array_close1_open2() \sa + * dsfmt_gv_fill_array_close1_open2() + */ +inline static void dsfmt_gv_fill_array_close_open(double array[], int size) { + dsfmt_fill_array_close_open(&dsfmt_global_data, array, size); +} + +/** + * This function generates double precision floating point + * pseudorandom numbers which distribute in the range (0, 1) to the + * specified array[] by one call. This function is the same as + * dsfmt_gv_fill_array_close1_open2() except the distribution range. + * This function uses \b global variables. + * @param array an array where pseudorandom numbers are filled + * by this function. + * @param size the number of pseudorandom numbers to be generated. + * see also \sa dsfmt_fill_array_close1_open2() \sa + * dsfmt_gv_fill_array_close1_open2() + */ +inline static void dsfmt_gv_fill_array_open_open(double array[], int size) { + dsfmt_fill_array_open_open(&dsfmt_global_data, array, size); +} + +/** + * This function initializes the internal state array with a 32-bit + * integer seed. + * @param dsfmt dsfmt state vector. + * @param seed a 32-bit integer used as the seed. + */ +inline static void dsfmt_init_gen_rand(dsfmt_t *dsfmt, uint32_t seed) { + dsfmt_chk_init_gen_rand(dsfmt, seed, DSFMT_MEXP); +} + +/** + * This function initializes the internal state array with a 32-bit + * integer seed. This function uses \b global variables. + * @param seed a 32-bit integer used as the seed. + * see also \sa dsfmt_init_gen_rand() + */ +inline static void dsfmt_gv_init_gen_rand(uint32_t seed) { + dsfmt_init_gen_rand(&dsfmt_global_data, seed); +} + +/** + * This function initializes the internal state array, + * with an array of 32-bit integers used as the seeds. + * @param dsfmt dsfmt state vector + * @param init_key the array of 32-bit integers, used as a seed. + * @param key_length the length of init_key. + */ +inline static void dsfmt_init_by_array(dsfmt_t *dsfmt, uint32_t init_key[], + int key_length) { + dsfmt_chk_init_by_array(dsfmt, init_key, key_length, DSFMT_MEXP); +} + +/** + * This function initializes the internal state array, + * with an array of 32-bit integers used as the seeds. + * This function uses \b global variables. + * @param init_key the array of 32-bit integers, used as a seed. + * @param key_length the length of init_key. + * see also \sa dsfmt_init_by_array() + */ +inline static void dsfmt_gv_init_by_array(uint32_t init_key[], int key_length) { + dsfmt_init_by_array(&dsfmt_global_data, init_key, key_length); +} + +#if !defined(DSFMT_DO_NOT_USE_OLD_NAMES) +DSFMT_PRE_INLINE const char *get_idstring(void) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE int get_min_array_size(void) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void init_gen_rand(uint32_t seed) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void init_by_array(uint32_t init_key[], int key_length) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double genrand_close1_open2(void) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double genrand_close_open(void) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double genrand_open_close(void) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE double genrand_open_open(void) DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void fill_array_open_close(double array[], int size) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void fill_array_close_open(double array[], int size) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void fill_array_open_open(double array[], int size) + DSFMT_PST_INLINE; +DSFMT_PRE_INLINE void fill_array_close1_open2(double array[], int size) + DSFMT_PST_INLINE; + +/** + * This function is just the same as dsfmt_get_idstring(). + * @return id string. + * see also \sa dsfmt_get_idstring() + */ +inline static const char *get_idstring(void) { + return dsfmt_get_idstring(); +} + +/** + * This function is just the same as dsfmt_get_min_array_size(). + * @return minimum size of array used for fill_array functions. + * see also \sa dsfmt_get_min_array_size() + */ +inline static int get_min_array_size(void) { + return dsfmt_get_min_array_size(); +} + +/** + * This function is just the same as dsfmt_gv_init_gen_rand(). + * @param seed a 32-bit integer used as the seed. + * see also \sa dsfmt_gv_init_gen_rand(), \sa dsfmt_init_gen_rand(). + */ +inline static void init_gen_rand(uint32_t seed) { + dsfmt_gv_init_gen_rand(seed); +} + +/** + * This function is just the same as dsfmt_gv_init_by_array(). + * @param init_key the array of 32-bit integers, used as a seed. + * @param key_length the length of init_key. + * see also \sa dsfmt_gv_init_by_array(), \sa dsfmt_init_by_array(). + */ +inline static void init_by_array(uint32_t init_key[], int key_length) { + dsfmt_gv_init_by_array(init_key, key_length); +} + +/** + * This function is just the same as dsfmt_gv_genrand_close1_open2(). + * @return double precision floating point number. + * see also \sa dsfmt_genrand_close1_open2() \sa + * dsfmt_gv_genrand_close1_open2() + */ +inline static double genrand_close1_open2(void) { + return dsfmt_gv_genrand_close1_open2(); +} + +/** + * This function is just the same as dsfmt_gv_genrand_close_open(). + * @return double precision floating point number. + * see also \sa dsfmt_genrand_close_open() \sa + * dsfmt_gv_genrand_close_open() + */ +inline static double genrand_close_open(void) { + return dsfmt_gv_genrand_close_open(); +} + +/** + * This function is just the same as dsfmt_gv_genrand_open_close(). + * @return double precision floating point number. + * see also \sa dsfmt_genrand_open_close() \sa + * dsfmt_gv_genrand_open_close() + */ +inline static double genrand_open_close(void) { + return dsfmt_gv_genrand_open_close(); +} + +/** + * This function is just the same as dsfmt_gv_genrand_open_open(). + * @return double precision floating point number. + * see also \sa dsfmt_genrand_open_open() \sa + * dsfmt_gv_genrand_open_open() + */ +inline static double genrand_open_open(void) { + return dsfmt_gv_genrand_open_open(); +} + +/** + * This function is juset the same as dsfmt_gv_fill_array_open_close(). + * @param array an array where pseudorandom numbers are filled + * by this function. + * @param size the number of pseudorandom numbers to be generated. + * see also \sa dsfmt_gv_fill_array_open_close(), \sa + * dsfmt_fill_array_close1_open2(), \sa + * dsfmt_gv_fill_array_close1_open2() + */ +inline static void fill_array_open_close(double array[], int size) { + dsfmt_gv_fill_array_open_close(array, size); +} + +/** + * This function is juset the same as dsfmt_gv_fill_array_close_open(). + * @param array an array where pseudorandom numbers are filled + * by this function. + * @param size the number of pseudorandom numbers to be generated. + * see also \sa dsfmt_gv_fill_array_close_open(), \sa + * dsfmt_fill_array_close1_open2(), \sa + * dsfmt_gv_fill_array_close1_open2() + */ +inline static void fill_array_close_open(double array[], int size) { + dsfmt_gv_fill_array_close_open(array, size); +} + +/** + * This function is juset the same as dsfmt_gv_fill_array_open_open(). + * @param array an array where pseudorandom numbers are filled + * by this function. + * @param size the number of pseudorandom numbers to be generated. + * see also \sa dsfmt_gv_fill_array_open_open(), \sa + * dsfmt_fill_array_close1_open2(), \sa + * dsfmt_gv_fill_array_close1_open2() + */ +inline static void fill_array_open_open(double array[], int size) { + dsfmt_gv_fill_array_open_open(array, size); +} + +/** + * This function is juset the same as dsfmt_gv_fill_array_close1_open2(). + * @param array an array where pseudorandom numbers are filled + * by this function. + * @param size the number of pseudorandom numbers to be generated. + * see also \sa dsfmt_fill_array_close1_open2(), \sa + * dsfmt_gv_fill_array_close1_open2() + */ +inline static void fill_array_close1_open2(double array[], int size) { + dsfmt_gv_fill_array_close1_open2(array, size); +} +#endif /* DSFMT_DO_NOT_USE_OLD_NAMES */ + +#if defined(__cplusplus) +} +#endif + +#endif /* DSFMT_H */ diff --git a/apps/medlda_release/dSFMT/jump/CHANGE-LOG.txt b/apps/medlda_release/dSFMT/jump/CHANGE-LOG.txt new file mode 100644 index 0000000..9da7cc8 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/CHANGE-LOG.txt @@ -0,0 +1,3 @@ +ver 0.1 +------- +The first version. diff --git a/apps/medlda_release/dSFMT/jump/FILES.txt b/apps/medlda_release/dSFMT/jump/FILES.txt new file mode 100644 index 0000000..a718fa7 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/FILES.txt @@ -0,0 +1,29 @@ +This archive contails following directories and files. + +TOP DIRECTORY +FILES.txt: This file. +CHANGE-LOG.txt change log. +LICENSE.txt: License file. +Makefile: Makefile for test programs. +readme.html readme file (English) +readme-jp.html readme file (Japanese) +dSFMT-jump.h jump function header file +dSFMT-jump.c jump function +dSFMT-calc-jump.hpp jump polynomial calculation +calc-jump.cpp jump polynomial calculation executable main +test-jump.cpp test +check-jump.sh test shell +sample1.c sample1 +sample2.c sample2 +poly.521.txt pre-calculated polynomial file for MEXP = 521 +poly.1279.txt pre-calculated polynomial file for MEXP = 1279 +poly.2203.txt pre-calculated polynomial file for MEXP = 2203 +poly.4253.txt pre-calculated polynomial file for MEXP = 4253 +poly.11213.txt pre-calculated polynomial file for MEXP = 11213 +poly.19937.txt pre-calculated polynomial file for MEXP = 19937 +poly.44497.txt pre-calculated polynomial file for MEXP = 44497 +poly.86243.txt pre-calculated polynomial file for MEXP = 86243 +poly.132049.tx pre-calculated polynomial file for MEXP = 132049 +poly.216091.txt pre-calculated polynomial file for MEXP = 216091 + +html DIRECTORY: The documents generated by doxygen. diff --git a/apps/medlda_release/dSFMT/jump/LICENSE.txt b/apps/medlda_release/dSFMT/jump/LICENSE.txt new file mode 100644 index 0000000..f2847eb --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/LICENSE.txt @@ -0,0 +1,32 @@ +Copyright (c) 2007, 2008, 2009 Mutsuo Saito, Makoto Matsumoto +and Hiroshima University. +Copyright (c) 2011, 2012 Mutsuo Saito, Makoto Matsumoto, Hiroshima +University and The University of Tokyo. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * 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. + * Neither the name of the Hiroshima 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 COPYRIGHT HOLDERS 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 COPYRIGHT +OWNER 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. diff --git a/apps/medlda_release/dSFMT/jump/Makefile b/apps/medlda_release/dSFMT/jump/Makefile new file mode 100644 index 0000000..5df2b24 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/Makefile @@ -0,0 +1,120 @@ +#for GNU make + +#DDEBUG = -O0 -g -DDEBUG=1 +# uncomment next line if you installed NTL with gf2x +#LIBGF2X = -lgf2x +# uncomment next line if you installed NTL with gmp +LIBGMP = -lgmp -lm + +PREFIX = $(PREFIX) + +DEFINES = -D__STDC_CONSTANT_MACROS=1 -D__STDC_FORMAT_MACROS=1 +CPP = g++ +#CPP = icc +GPPFLAGS = -msse2 +#ICCPPFLAGS = -mssse3 +CPPSTD = -std=c++11 + +CC = gcc +#CC = icc -fast +GCCFLAGS = -msse2 --param max-inline-insns-single=1800 +#ICCFLAGS = -fast +OPTI = -O3 -finline-functions -fomit-frame-pointer -pthread +CCSTD = -std=c99 +WARN = -Wall #-Winline +CCFLAGS = -I../ -I$(PREFIX)/include -Wmissing-prototypes $(GCCFLAGS) $(ICCFLAGS) $(OPTI) \ + $(WARN) $(CCSTD) $(DDEBUG) +CPPFLAGS = -I../ -I$(PREFIX)/include $(OPTI) $(GPPFLAGS) $(ICCPPFLAGS) $(WARN) $(DEFINES) $(CPPSTD) $(DDEBUG) + +LINKOPT = -L$(PREFIX)/lib -lntl -pthread $(LIBGF2X) $(LIBGMP) -Wl,-rpath,$(PREFIX)/lib + +ALL_JUMP_TARGET = calc-jump test-jump-M521 test-jump-M1279 test-jump-M2203 \ +test-jump-M4253 test-jump-M11213 test-jump-M19937 test-jump-M44497 \ +test-jump-M86243 test-jump-M132049 test-jump-M216091 + +# +# jump +# +all:calc-jump + +check: ${ALL_JUMP_TARGET} + ./check-jump.sh + +calc-jump:calc-jump.cpp dSFMT-calc-jump.hpp + ${CPP} ${CPPFLAGS} -o $@ calc-jump.cpp ${LINKOPT} + +# +# sample +# +sample1: sample1.c ../dSFMT.c dSFMT-jump.c ../dSFMT-common.h dSFMT-jump.h + ${CC} ${CCFLAGS} -DDSFMT_MEXP=1279 -DHAVE_SSE2 -o $@ \ + sample1.c ../dSFMT.c dSFMT-jump.c + +sample2: sample2.c ../dSFMT.c dSFMT-jump.c ../dSFMT-common.h dSFMT-jump.h + ${CC} ${CCFLAGS} -DDSFMT_MEXP=521 -DHAVE_SSE2 -o $@ \ + sample2.c ../dSFMT.c dSFMT-jump.c + +# +# test +# +test-jump-M521: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=521 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M1279: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=1279 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M2203: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=2203 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M4253: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=4253 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M11213: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=11213 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M19937: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=19937 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M44497: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=44497 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M86243: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=86243 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M132049: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=132049 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M216091: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=216091 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +.cpp.o: + ${CPP} -c $< + +.c.o: + ${CC} -c $< + +clean: + rm -rf *.o *~ *.dSYM + +clean-all: + rm -f $(ALL_JUMP_TARGET) diff --git a/apps/medlda_release/dSFMT/jump/Makefile.me b/apps/medlda_release/dSFMT/jump/Makefile.me new file mode 100644 index 0000000..ecbf171 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/Makefile.me @@ -0,0 +1,120 @@ +#for GNU make + +#DDEBUG = -O0 -g -DDEBUG=1 +# uncomment next line if you installed NTL with gf2x +#LIBGF2X = -lgf2x +# uncomment next line if you installed NTL with gmp +LIBGMP = -lgmp -lm + +PREFIX = /home/oschwart/shared/secproj/external + +DEFINES = -D__STDC_CONSTANT_MACROS=1 -D__STDC_FORMAT_MACROS=1 +CPP = g++ +#CPP = icc +GPPFLAGS = -msse2 +#ICCPPFLAGS = -mssse3 +CPPSTD = -std=c++11 + +CC = gcc +#CC = icc -fast +GCCFLAGS = -msse2 --param max-inline-insns-single=1800 +#ICCFLAGS = -fast +OPTI = -O3 -finline-functions -fomit-frame-pointer -pthread +CCSTD = -std=c99 +WARN = -Wall #-Winline +CCFLAGS = -I../ -I$(PREFIX)/include -Wmissing-prototypes $(GCCFLAGS) $(ICCFLAGS) $(OPTI) \ + $(WARN) $(CCSTD) $(DDEBUG) +CPPFLAGS = -I../ -I$(PREFIX)/include $(OPTI) $(GPPFLAGS) $(ICCPPFLAGS) $(WARN) $(DEFINES) $(CPPSTD) $(DDEBUG) + +LINKOPT = -L$(PREFIX)/lib -lntl -pthread $(LIBGF2X) $(LIBGMP) -Wl,-rpath,$(PREFIX)/lib + +ALL_JUMP_TARGET = calc-jump test-jump-M521 test-jump-M1279 test-jump-M2203 \ +test-jump-M4253 test-jump-M11213 test-jump-M19937 test-jump-M44497 \ +test-jump-M86243 test-jump-M132049 test-jump-M216091 + +# +# jump +# +all:calc-jump + +check: ${ALL_JUMP_TARGET} + ./check-jump.sh + +calc-jump:calc-jump.cpp dSFMT-calc-jump.hpp + ${CPP} ${CPPFLAGS} -o $@ calc-jump.cpp ${LINKOPT} + +# +# sample +# +sample1: sample1.c ../dSFMT.c dSFMT-jump.c ../dSFMT-common.h dSFMT-jump.h + ${CC} ${CCFLAGS} -DDSFMT_MEXP=1279 -DHAVE_SSE2 -o $@ \ + sample1.c ../dSFMT.c dSFMT-jump.c + +sample2: sample2.c ../dSFMT.c dSFMT-jump.c ../dSFMT-common.h dSFMT-jump.h + ${CC} ${CCFLAGS} -DDSFMT_MEXP=521 -DHAVE_SSE2 -o $@ \ + sample2.c ../dSFMT.c dSFMT-jump.c + +# +# test +# +test-jump-M521: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=521 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M1279: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=1279 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M2203: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=2203 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M4253: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=4253 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M11213: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=11213 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M19937: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=19937 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M44497: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=44497 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M86243: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=86243 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M132049: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=132049 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M216091: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=216091 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +.cpp.o: + ${CPP} -c $< + +.c.o: + ${CC} -c $< + +clean: + rm -rf *.o *~ *.dSYM + +clean-all: + rm -f $(ALL_JUMP_TARGET) diff --git a/apps/medlda_release/dSFMT/jump/Makefile~ b/apps/medlda_release/dSFMT/jump/Makefile~ new file mode 100644 index 0000000..096b276 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/Makefile~ @@ -0,0 +1,120 @@ +#for GNU make + +#DDEBUG = -O0 -g -DDEBUG=1 +# uncomment next line if you installed NTL with gf2x +#LIBGF2X = -lgf2x +# uncomment next line if you installed NTL with gmp +LIBGMP = -lgmp -lm + +PREFIX = /home/oschwart/shared/secproj/external + +DEFINES = -D__STDC_CONSTANT_MACROS=1 -D__STDC_FORMAT_MACROS=1 +CPP = g++ +#CPP = icc +GPPFLAGS = -msse2 +#ICCPPFLAGS = -mssse3 +CPPSTD = -std=c++11 + +CC = gcc +#CC = icc -fast +GCCFLAGS = -msse2 --param max-inline-insns-single=1800 +#ICCFLAGS = -fast +OPTI = -O3 -finline-functions -fomit-frame-pointer -pthread +CCSTD = -std=c99 +WARN = -Wall #-Winline +CCFLAGS = -I../ -I$(PREFIX)/include -Wmissing-prototypes $(GCCFLAGS) $(ICCFLAGS) $(OPTI) \ + $(WARN) $(CCSTD) $(DDEBUG) +CPPFLAGS = -I../ -I$(PREFIX)/include $(OPTI) $(GPPFLAGS) $(ICCPPFLAGS) $(WARN) $(DEFINES) $(CPPSTD) $(DDEBUG) + +LINKOPT = -L$(PREFIX)/lib -lntl -pthread $(LIBGF2X) $(LIBGMP) -Wl,-rpath,$(PREFIX)/lib -Wl,-rpath,/appl/pm/vendor/gcc/lx-x86_64/4.8.5R6/lib64 + +ALL_JUMP_TARGET = calc-jump test-jump-M521 test-jump-M1279 test-jump-M2203 \ +test-jump-M4253 test-jump-M11213 test-jump-M19937 test-jump-M44497 \ +test-jump-M86243 test-jump-M132049 test-jump-M216091 + +# +# jump +# +all:calc-jump + +check: ${ALL_JUMP_TARGET} + ./check-jump.sh + +calc-jump:calc-jump.cpp dSFMT-calc-jump.hpp + ${CPP} ${CPPFLAGS} -o $@ calc-jump.cpp ${LINKOPT} + +# +# sample +# +sample1: sample1.c ../dSFMT.c dSFMT-jump.c ../dSFMT-common.h dSFMT-jump.h + ${CC} ${CCFLAGS} -DDSFMT_MEXP=1279 -DHAVE_SSE2 -o $@ \ + sample1.c ../dSFMT.c dSFMT-jump.c + +sample2: sample2.c ../dSFMT.c dSFMT-jump.c ../dSFMT-common.h dSFMT-jump.h + ${CC} ${CCFLAGS} -DDSFMT_MEXP=521 -DHAVE_SSE2 -o $@ \ + sample2.c ../dSFMT.c dSFMT-jump.c + +# +# test +# +test-jump-M521: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=521 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M1279: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=1279 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M2203: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=2203 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M4253: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=4253 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M11213: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=11213 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M19937: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=19937 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M44497: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=44497 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M86243: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=86243 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M132049: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=132049 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +test-jump-M216091: test-jump.cpp ../dSFMT.c dSFMT-jump.c dSFMT-calc-jump.hpp \ + ../dSFMT-common.h dSFMT-jump.h + ${CPP} ${CPPFLAGS} -DDSFMT_MEXP=216091 -DHAVE_SSE2 -o $@ \ + test-jump.cpp ../dSFMT.c dSFMT-jump.c ${LINKOPT} + +.cpp.o: + ${CPP} -c $< + +.c.o: + ${CC} -c $< + +clean: + rm -rf *.o *~ *.dSYM + +clean-all: + rm -f $(ALL_JUMP_TARGET) diff --git a/apps/medlda_release/dSFMT/jump/calc-jump.cpp b/apps/medlda_release/dSFMT/jump/calc-jump.cpp new file mode 100644 index 0000000..fbdb217 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/calc-jump.cpp @@ -0,0 +1,74 @@ +/** + * @file calc-jump.cpp + * + * @brief calc jump function. + * + * @author Mutsuo Saito (Hiroshima University) + * @author Makoto Matsumoto (The University of Tokyo) + * + * Copyright (C) 2012 Mutsuo Saito, Makoto Matsumoto, + * Hiroshima University and The University of Tokyo. + * All rights reserved. + * + * The 3-clause BSD License is applied to this software, see + * LICENSE.txt + */ +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include +#include "dSFMT-calc-jump.hpp" + +using namespace NTL; +using namespace std; +using namespace dsfmt; + +static void read_file(GF2X& lcmpoly, long line_no, const string& file); + +int main(int argc, char * argv[]) { + if (argc <= 2) { + cout << argv[0] << " jump-step poly-file" << endl; + cout << " jump-step: a number between zero and 2^{DSFMT_MEXP}-1.\n" + << " large decimal number is allowed." << endl; + cout << " poly-file: one of poly.{MEXP}.txt " + << "file" << endl; + return -1; + } + string step_string = argv[1]; + string filename = argv[2]; + long no = 0; + GF2X lcmpoly; + read_file(lcmpoly, no, filename); + ZZ step; + stringstream ss(step_string); + ss >> step; + string jump_str; + calc_jump(jump_str, step, lcmpoly); + cout << "jump polynomial:" << endl; + cout << jump_str << endl; + return 0; +} + + +static void read_file(GF2X& lcmpoly, long line_no, const string& file) +{ + ifstream ifs(file.c_str()); + string line; + for (int i = 0; i < line_no; i++) { + ifs >> line; + ifs >> line; + } + if (ifs) { + ifs >> line; + line = ""; + ifs >> line; + } + stringtopoly(lcmpoly, line); +} diff --git a/apps/medlda_release/dSFMT/jump/check-jump.sh b/apps/medlda_release/dSFMT/jump/check-jump.sh new file mode 100755 index 0000000..38f76fc --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/check-jump.sh @@ -0,0 +1,12 @@ +#!/bin/sh +exps="521 1279 2203 4253 11213 19937 44497 86243 132049 216091" +for mexp in $exps; do + + if ./test-jump-M${mexp} -c > /dev/null + then + echo jump in mexp = $mexp OK. + else + exit 1 + fi +done +exit 0 diff --git a/apps/medlda_release/dSFMT/jump/dSFMT-calc-jump.hpp b/apps/medlda_release/dSFMT/jump/dSFMT-calc-jump.hpp new file mode 100644 index 0000000..b960826 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/dSFMT-calc-jump.hpp @@ -0,0 +1,106 @@ +#pragma once +#ifndef DSFMT_CALC_JUMP_HPP +#define DSFMT_CALC_JUMP_HPP +/** + * @file dSFMT-calc-jump.hpp + * + * @brief functions for calculating jump polynomial. + * + * @author Mutsuo Saito (Hiroshima University) + * @author Makoto Matsumoto (The University of Tokyo) + * + * Copyright (C) 2012 Mutsuo Saito, Makoto Matsumoto, + * Hiroshima University and The University of Tokyo. + * All rights reserved. + * + * The 3-clause BSD License is applied to this software, see + * LICENSE.txt + */ +#include +#include +#include +#include + +namespace dsfmt { +/** + * converts polynomial to string for convenient use in C language. + * @param x output string + * @param polynomial input polynomial + */ + static inline void polytostring(std::string& x, NTL::GF2X& polynomial) + { + using namespace NTL; + using namespace std; + + long degree = deg(polynomial); + int buff; + stringstream ss; + for (int i = 0; i <= degree; i+=4) { + buff = 0; + for (int j = 0; j < 4; j++) { + if (IsOne(coeff(polynomial, i + j))) { + buff |= 1 << j; + } else { + buff &= (0x0f ^ (1 << j)); + } + } + ss << hex << buff; + } + ss << flush; + x = ss.str(); + } + +/** + * converts string to polynomial + * @param str string + * @param poly output polynomial + */ + static inline void stringtopoly(NTL::GF2X& poly, std::string& str) + { + using namespace NTL; + using namespace std; + + stringstream ss(str); + char c; + long p = 0; + clear(poly); + while(ss) { + ss >> c; + if (!ss) { + break; + } + if (c >= 'a') { + c = c - 'a' + 10; + } else { + c = c - '0'; + } + for (int j = 0; j < 4; j++) { + if (c & (1 << j)) { + SetCoeff(poly, p, 1); + } else { + SetCoeff(poly, p, 0); + } + p++; + } + } + } + +/** + * calculate the jump polynomial. + * SFMT generates 4 32-bit integers from one internal state. + * @param jump_str output string which represents jump polynomial. + * @param step jump step of internal state + * @param characteristic polynomial + */ + static inline void calc_jump(std::string& jump_str, + NTL::ZZ& step, + NTL::GF2X& characteristic) + { + using namespace NTL; + using namespace std; + GF2X jump; + PowerXMod(jump, step, characteristic); + polytostring(jump_str, jump); + } +} +#endif diff --git a/apps/medlda_release/dSFMT/jump/dSFMT-jump.c b/apps/medlda_release/dSFMT/jump/dSFMT-jump.c new file mode 100644 index 0000000..7481dc5 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/dSFMT-jump.c @@ -0,0 +1,182 @@ +/** + * @file dSFMT-jump.c + * + * @brief do jump using jump polynomial. + * + * @author Mutsuo Saito (Hiroshima University) + * @author Makoto Matsumoto (The University of Tokyo) + * + * Copyright (C) 2012 Mutsuo Saito, Makoto Matsumoto, + * Hiroshima University and The University of Tokyo. + * All rights reserved. + * + * The 3-clause BSD License is applied to this software, see + * LICENSE.txt + */ + +#include +#include +#include +#include +#include "dSFMT-params.h" +#include "dSFMT.h" +#include "dSFMT-jump.h" +#include "dSFMT-common.h" + +#if defined(__cplusplus) +extern "C" { +#endif + + struct FIX_T { + int mexp; + uint64_t fix[4]; + }; + + struct FIX_T fix_table[] = { + {521, {UINT64_C(0x3fff56977f035125), + UINT64_C(0x3ff553857b015035), + UINT64_C(0x4034434434434434), + UINT64_C(0x0140151151351371)}}, + {1279, {UINT64_C(0x3ff87befce70e89f), + UINT64_C(0x3ff5f6afa3c60868), + UINT64_C(0xa4ca4caccaccacdb), + UINT64_C(0x40444444444c44c4)}}, + {4253, {UINT64_C(0x3ff85a66da51a81a), + UINT64_C(0x3ff4f4aeab9688eb), + UINT64_C(0x20524524534d34d3), + UINT64_C(0xc9cc9cc9cc9ccdcf)}}, + {216091, {UINT64_C(0x3ff096d54a871071), + UINT64_C(0x3ffafa9bfbd5d55d), + UINT64_C(0x0470470470573573), + UINT64_C(0x0250250251259259)}}, + {0, {}} + }; + + inline static void next_state(dsfmt_t * dsfmt); + +#if defined(HAVE_SSE2) +/** + * add internal state of src to dest as F2-vector. + * @param dest destination state + * @param src source state + */ + inline static void add(dsfmt_t *dest, dsfmt_t *src) { + int dp = dest->idx / 2; + int sp = src->idx / 2; + int diff = (sp - dp + DSFMT_N) % DSFMT_N; + int p; + int i; + for (i = 0; i < DSFMT_N - diff; i++) { + p = i + diff; + dest->status[i].si + = _mm_xor_si128(dest->status[i].si, src->status[p].si); + } + for (i = DSFMT_N - diff; i < DSFMT_N; i++) { + p = i + diff - DSFMT_N; + dest->status[i].si + = _mm_xor_si128(dest->status[i].si, src->status[p].si); + } + dest->status[DSFMT_N].si + = _mm_xor_si128(dest->status[DSFMT_N].si, + src->status[DSFMT_N].si); + } +#else + inline static void add(dsfmt_t *dest, dsfmt_t *src) { + int dp = dest->idx / 2; + int sp = src->idx / 2; + int diff = (sp - dp + DSFMT_N) % DSFMT_N; + int p; + int i; + for (i = 0; i < DSFMT_N - diff; i++) { + p = i + diff; + dest->status[i].u[0] ^= src->status[p].u[0]; + dest->status[i].u[1] ^= src->status[p].u[1]; + } + for (; i < DSFMT_N; i++) { + p = i + diff - DSFMT_N; + dest->status[i].u[0] ^= src->status[p].u[0]; + dest->status[i].u[1] ^= src->status[p].u[1]; + } + dest->status[DSFMT_N].u[0] ^= src->status[DSFMT_N].u[0]; + dest->status[DSFMT_N].u[1] ^= src->status[DSFMT_N].u[1]; + } +#endif + +/** + * calculate next state + * @param dsfmt dSFMT internal state + */ + inline static void next_state(dsfmt_t * dsfmt) { + int idx = (dsfmt->idx / 2) % DSFMT_N; + w128_t * lung; + w128_t * pstate = &dsfmt->status[0]; + + lung = &pstate[DSFMT_N]; + do_recursion(&pstate[idx], + &pstate[idx], + &pstate[(idx + DSFMT_POS1) % DSFMT_N], + lung); + dsfmt->idx = (dsfmt->idx + 2) % DSFMT_N64; + } + + inline static void add_fix(dsfmt_t * dsfmt) { + int i; + int index = -1; + for (i = 0; fix_table[i].mexp != 0; i++) { + if (fix_table[i].mexp == DSFMT_MEXP) { + index = i; + } + if (fix_table[i].mexp > DSFMT_MEXP) { + break; + } + } + if (index < 0) { + return; + } + for (i = 0; i < DSFMT_N; i++) { + dsfmt->status[i].u[0] ^= fix_table[index].fix[0]; + dsfmt->status[i].u[1] ^= fix_table[index].fix[1]; + } + dsfmt->status[DSFMT_N].u[0] ^= fix_table[index].fix[2]; + dsfmt->status[DSFMT_N].u[1] ^= fix_table[index].fix[3]; + } + +/** + * jump ahead using jump_string + * @param dsfmt dSFMT internal state input and output. + * @param jump_string string which represents jump polynomial. + */ + void dSFMT_jump(dsfmt_t * dsfmt, const char * jump_string) { + dsfmt_t work; + int index = dsfmt->idx; + int bits; + memset(&work, 0, sizeof(dsfmt_t)); + add_fix(dsfmt); + dsfmt->idx = DSFMT_N64; + + for (int i = 0; jump_string[i] != '\0'; i++) { + bits = jump_string[i]; + assert(isxdigit(bits)); + bits = tolower(bits); + if (bits >= 'a' && bits <= 'f') { + bits = bits - 'a' + 10; + } else { + bits = bits - '0'; + } + bits = bits & 0x0f; + for (int j = 0; j < 4; j++) { + if ((bits & 1) != 0) { + add(&work, dsfmt); + } + next_state(dsfmt); + bits = bits >> 1; + } + } + *dsfmt = work; + add_fix(dsfmt); + dsfmt->idx = index; + } + +#if defined(__cplusplus) +} +#endif diff --git a/apps/medlda_release/dSFMT/jump/dSFMT-jump.h b/apps/medlda_release/dSFMT/jump/dSFMT-jump.h new file mode 100644 index 0000000..2979f32 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/dSFMT-jump.h @@ -0,0 +1,29 @@ +#pragma once +#ifndef DSFMT_JUMP_H +#define DSFMT_JUMP_H +/** + * @file SFMT-jump.h + * + * @brief jump header file. + * + * @author Mutsuo Saito (Hiroshima University) + * @author Makoto Matsumoto (The University of Tokyo) + * + * Copyright (C) 2012 Mutsuo Saito, Makoto Matsumoto, + * Hiroshima University and The University of Tokyo. + * All rights reserved. + * + * The 3-clause BSD License is applied to this software, see + * LICENSE.txt + */ +#if defined(__cplusplus) +extern "C" { +#endif + +#include "dSFMT.h" +void dSFMT_jump(dsfmt_t * dsfmt, const char * jump_str); + +#if defined(__cplusplus) +} +#endif +#endif diff --git a/apps/medlda_release/dSFMT/jump/poly.11213.txt b/apps/medlda_release/dSFMT/jump/poly.11213.txt new file mode 100644 index 0000000..e94fa2f --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/poly.11213.txt @@ -0,0 +1,2 @@ +#11213,37,19,ffffffdf7fffd,dfffffff6bfff 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diff --git a/apps/medlda_release/dSFMT/jump/poly.1279.txt b/apps/medlda_release/dSFMT/jump/poly.1279.txt new file mode 100644 index 0000000..808b5be --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/poly.1279.txt @@ -0,0 +1,2 @@ +#1279,9,19,efff7ffddffee,fbffffff77fff +14ca4b14ed4dab59798009986994e69dd13077f1a9e440dbf8b8ed606eeed432fd13b37e501ad87f3078e483cb19c2bd6c4ab7c088a032491825bec1cb67695ca591a4f2b9d9bef559f1f0df86b93107b474c08f65655a38c4dcba34722136b0ce066fbc37a441267541b17a44a7815c27069b930fb28d4d21b55d9d648187a8c361119d3c42dcc534812c607b48fead6d3b4443aad6e11b62511ea1520fa1df6f6920f9df8b94986d91e5e21 diff --git a/apps/medlda_release/dSFMT/jump/poly.132049.txt b/apps/medlda_release/dSFMT/jump/poly.132049.txt new file mode 100644 index 0000000..7f63d15 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/poly.132049.txt @@ -0,0 +1,2 @@ +#132049,371,23,fb9f4eff4bf77,fffffbfefff37 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diff --git a/apps/medlda_release/dSFMT/jump/poly.2203.txt b/apps/medlda_release/dSFMT/jump/poly.2203.txt new file mode 100644 index 0000000..0a2241f --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/poly.2203.txt @@ -0,0 +1,2 @@ +#2203,7,19,fdffff5edbfff,f77fffffffbfe 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 diff --git a/apps/medlda_release/dSFMT/jump/poly.4253.txt b/apps/medlda_release/dSFMT/jump/poly.4253.txt new file mode 100644 index 0000000..a358af8 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/poly.4253.txt @@ -0,0 +1,2 @@ +#4253,19,19,7b7fffef5feff,ffdffeffefbfc 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diff --git a/apps/medlda_release/dSFMT/jump/poly.44497.txt b/apps/medlda_release/dSFMT/jump/poly.44497.txt new file mode 100644 index 0000000..da909bf --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/poly.44497.txt @@ -0,0 +1,2 @@ +#44497,304,19,ff6dfffffffef,7ffdddeefff6f 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diff --git a/apps/medlda_release/dSFMT/jump/poly.521.txt b/apps/medlda_release/dSFMT/jump/poly.521.txt new file mode 100644 index 0000000..428415c --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/poly.521.txt @@ -0,0 +1,2 @@ +#521,3,25,fbfefff77efff,ffeebfbdfbfdf +148e2d345750a90fa0b09763ecb70053a2490bdaedef3aa8fa0c85fc079aa729496743b5d59b0d7a9cea17df2a67dd59ea7a3bb1beef4c3d1ec90221d62cc371642710111 diff --git a/apps/medlda_release/dSFMT/jump/poly.86243.txt b/apps/medlda_release/dSFMT/jump/poly.86243.txt new file mode 100644 index 0000000..ab01c00 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/poly.86243.txt @@ -0,0 +1,2 @@ +#86243,231,13,ffedff6ffffdf,ffff7fdffff7e 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diff --git a/apps/medlda_release/dSFMT/jump/readme-jp.html b/apps/medlda_release/dSFMT/jump/readme-jp.html new file mode 100644 index 0000000..4943550 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/readme-jp.html @@ -0,0 +1,179 @@ + + + + + + dSFMT jump function + + + +

罨

+ + +

dSFMT 吾ｃ潟罘純ゃ

+ +

+ 吾ｃ潟罘純篏帥dSFMT倶N鴻緇倶荐膊 + 堺ャ障dSFMT箙掩亥2N若喝冴с + N紊с翫箙掩亥ｃN鴻緇倶腱祉с障 + 吾ｃ潟罘純後篏睡羈dSFMTｃ鐚激鐚筝с + 篋篆荐若茲違緇с +

+

+ 吾ｃ潟絎茵篋ゃ鴻障吾ｃ潟紊綣荐膊倶 + 紊眼с +

+ +

鴻1:吾ｃ潟紊綣荐膊

+

+ 吾ｃ潟紊綣荐膊荐膊羝帥紊綣篏睡障 + 荐膊羝帥紊綣 poly.{DSFMT_MEXP}.txt＜ゃ + 篆絖障鐚紊綣ゃ茯ャ障鐚 +
+ make ｃ篏絎茵純＜ゃ 'calc-jump'篏帥ｃ + 潟潟ゃ潟吾ｃ潟紊綣荐膊с障 + 篏睡羈篁ヤс +

+
+ 
+./calc-jump jump-step polynomial-file
+    jump-step: a number between zero and 2^{DSFMT_MEXP}-1.
+               large decimal number is allowed.
+    polynomial-file: one of poly.{DSFMT_MEXP}.txt file
+
+
+

+ jump-step我違ф絎紊с違絎堺ャ障 + no. params ｃ poly.{DSFMT_MEXP}.txt + ＜ゃ篏睡絎 +
+ C++ ∽ 'dsfmt::calc_jump' 篏帥ｃ吾ｃ潟紊綣荐膊 + с障∽違 'dSFMT-calc-jump.hpp' ＜ゃ筝у臂障 +

+

吾ｃ潟紊綣荐膊Victor Shoup + NTL: A Library for doing Number + Theory 綽荀с +
+ 障吾ｃ潟紊綣荐膊dSFMT倶綽荀障 + 荐膊羝水綣主＜ゃ篁ュ＜祉潟違箴絖障 +

+ +

鴻2:dSFMT倶吾ｃ潟緇倶紊眼

+ +

+ 鴻dSFMT＜祉潟違箴絖障 + 吾ｃ潟紊綣荐膊篏睡荐膊羝水綣絲上＜祉潟違 + 綽篏睡 +
+ C荐茯ф吾dSFMT_jump∽違鴻絎茵障 + ∽違dSFMT-jump.h筝уｈ障 + ∽違潟潟ゃdSFMT 若吾с2.2 綽荀с +

+ +

ゃ潟鴻若潟潟ゃ鴻

+

+

+ Jump 違с潟潟ゃс障dSFMT 2.2 純若鴻＜ゃ + 綽荀с

+
    +
  1. NTLゃ潟鴻若 + ゃ潟鴻若
    2. +
  2. ≪若ゃ＜ゃ茹ｅ障
    3. +
  3. 堺ャｃ(dSFMTJump-src-xxx)筝jumpｃ + dSFMTｃ潟若障
    4. +
    +dSFMT-src-2.2
+   +---html
+   +---jump
+
    +
  4. 潟若jumpｃcd 障
    5. +
  5. NTLゃ潟鴻若gmp gf2x 篏睡翫Makefile + 篁ヤ茵＜潟＜潟紊綽荀障
    6. +
    +#LIBGF2X = -lgf2x
+#LIBGMP = -lgmp
+
    +
  6. make 絎茵障
    7. +
    +
    +make all
+make check
+
    +
    +
  7. make check 腟 OK 茵腓冴違鴻с
    8. +
+

make check т test-jump-MXXX ＜ゃ-s + 絎絎茵吾ｃ潟紊綣荐膊吾ｃ潟絎茵茵腓冴障 +

+
+
+$ ./test-jump-M19937 -s
+mexp 19937 jump 10^04 steps  calc_jump: 0.707ms
+mexp 19937 jump 10^04 steps dSFMT_jump: 0.166ms
+mexp 19937 jump 10^06 steps  calc_jump: 3.527ms
+mexp 19937 jump 10^06 steps dSFMT_jump: 3.657ms
+mexp 19937 jump 10^08 steps  calc_jump: 6.310ms
+mexp 19937 jump 10^08 steps dSFMT_jump: 3.628ms
+mexp 19937 jump 10^10 steps  calc_jump: 9.221ms
+mexp 19937 jump 10^10 steps dSFMT_jump: 3.579ms
+mexp 19937 jump 10^12 steps  calc_jump:12.175ms
+mexp 19937 jump 10^12 steps dSFMT_jump: 3.638ms
+mexp 19937 jump 10^14 steps  calc_jump:15.176ms
+mexp 19937 jump 10^14 steps dSFMT_jump: 3.630ms
+mexp 19937 jump 10^16 steps  calc_jump:18.064ms
+mexp 19937 jump 10^16 steps dSFMT_jump: 3.626ms
+mexp 19937 jump 10^18 steps  calc_jump:20.959ms
+mexp 19937 jump 10^18 steps dSFMT_jump: 3.606ms
+mexp 19937 jump 10^20 steps  calc_jump:23.884ms
+mexp 19937 jump 10^20 steps dSFMT_jump: 3.600ms
+mexp 19937 jump 10^22 steps  calc_jump:26.920ms
+mexp 19937 jump 10^22 steps dSFMT_jump: 3.592ms
+
+
+ +

筝泣潟

+

+ ≪若ゃ罌宴 sample1.c＜ゃ + dSFMT1279篏帥ｃ1020 + 鴻吾ｃ潟ｃ篆荐若5 + 障5dSFMT1020篁ヤ篌寂恒違 + 障 +

+

+ 紊с吾ｃ潟鴻絎 + 吾ｃ潟罘純荀с + 吾ｃ潟罘純篏帥ｃ筝蚊ゃ篌寂恒医堺ャ障 + sample2.cс5dSFMT521篏睡 + 蚊ゃ篌寂恒医 + 蚊ゃdSFMT521ч罨∞篌寂恒医罸莠障 +
+ 泣潟с罨∞罸莠絨吾ｃ潟鴻篏帥ｃ + 障絎蚊ゃ篌寂恒医筝ｃ紊с + 吾ｃ潟鴻篏睡с +

+ +

ゃ祉潟

+

+ dSFMT-jump dSFMT 罕с障
+ 荅括完LICENSE.txt с +

+ + diff --git a/apps/medlda_release/dSFMT/jump/readme.html b/apps/medlda_release/dSFMT/jump/readme.html new file mode 100644 index 0000000..9247571 --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/readme.html @@ -0,0 +1,176 @@ + + + + + + SFMT jump function + + + +

Index

+ + +

About dSFMT jump function

+

+ For a given integer N, this jump function executes the N-step + jump. Namely, from the given state, obtain the state of dSFMT + after N steps generation. This is equivalent to call the dSFMT + double precision floating point number generation 2N times + with discarding the + outputs. A typical usage of a jump function is to obtain + distinct sub streams from a whole period of pseudorandom number + sequence generated by one dSFMT. +

+

+ There are two steps for doing jump. Calculations of jump polynomial + and changing internal state. +

+ +

Step 1: Calculations of jump polynomial

+ +

To calculate jump polynomial, we use pre-calculated polynomials for + MEXPs, we omit explanation of the polynomial. + The pre-calculated polynomials are stored in + 'poly.{MEXP}.txt files.
+ The executable binary file 'calc-jump' calculates jump polynomial + from command line. Here is a usage: +

+ 
+./calc-jump jump-step polynomial-file
+    jump-step: a number between zero and 2^{DSFMT_MEXP}-1.
+               large decimal number is allowed.
+    polynomial-file: one of poly.{DSFMT_MEXP}.txt file
+
+
+

+ Users can call C++ function 'dsfmt::calc_jump' in C++ header file + 'dSFMT-calc-jump.hpp' to calculate jump polynomials. +

+

NTL: A Library for doing Number + Theory by Victor Shoup is used for polynomial calculation and + handling large integers. +

+

This step does not use dSFMT internal state and independent + from MEXPs except file names of the pre-calculated polynomials. +

+ +

+ Step 2: Changing internal state of dSFMT to jumped state.

+ +

This step depends on MEXPs of dSFMT, and the + polynomial file dSFMT should be the same as one used for the jump + polynomial calculation. +

+

The function dSFMT_jump written in C language does this step. + For our convenience, we used C structure for dSFMT internal state, + and almost of all functions provided in dSFMT ver. 2.2 were + re-written to use dSFMT structures. +

+ +

Install, Compile and Test

+

Test program needs source programs of SFMT ver. 2.2 to be compiled. +

+ +
    +
  1. Install NTL + if not installed.
    2. +
  2. Expand archive file
    3. +
  3. Copy jump directory in dSFMTJump-src-xxxx to + the directory of dSFMT.
    4. +
    +SFMT-src-2.2
+   +---html
+   +---jump
+
    +
  4. Change directory to copied jump directory
    5. +
  5. If you specify gmp or gf2x when you installed NTL, + you need to uncomment one of below lines in Makefile. +
    6. +
    +#LIBGF2X = -lgf2x
+#LIBGMP = -lgmp
+
    +
  6. make
    7. +
    +
    +make all
+make check
+
    +
    +
  7. Check if OK is showed and no NG
    8. +
+ +

test-jump-MXXX files made by above can invoke with '-s' + argument like this: +

+
+
+$ ./test-jump-M19937 -s
+mexp 19937 jump 10^04 steps  calc_jump: 0.707ms
+mexp 19937 jump 10^04 steps dSFMT_jump: 0.166ms
+mexp 19937 jump 10^06 steps  calc_jump: 3.527ms
+mexp 19937 jump 10^06 steps dSFMT_jump: 3.657ms
+mexp 19937 jump 10^08 steps  calc_jump: 6.310ms
+mexp 19937 jump 10^08 steps dSFMT_jump: 3.628ms
+mexp 19937 jump 10^10 steps  calc_jump: 9.221ms
+mexp 19937 jump 10^10 steps dSFMT_jump: 3.579ms
+mexp 19937 jump 10^12 steps  calc_jump:12.175ms
+mexp 19937 jump 10^12 steps dSFMT_jump: 3.638ms
+mexp 19937 jump 10^14 steps  calc_jump:15.176ms
+mexp 19937 jump 10^14 steps dSFMT_jump: 3.630ms
+mexp 19937 jump 10^16 steps  calc_jump:18.064ms
+mexp 19937 jump 10^16 steps dSFMT_jump: 3.626ms
+mexp 19937 jump 10^18 steps  calc_jump:20.959ms
+mexp 19937 jump 10^18 steps dSFMT_jump: 3.606ms
+mexp 19937 jump 10^20 steps  calc_jump:23.884ms
+mexp 19937 jump 10^20 steps dSFMT_jump: 3.600ms
+mexp 19937 jump 10^22 steps  calc_jump:26.920ms
+mexp 19937 jump 10^22 steps dSFMT_jump: 3.592ms
+
+
+ +

Samples of Parallel generation

+

+ sample1.c file included in the + archive shows generation of + 5 distinct sub-sequences using 1020 steps jump. + As far as the length of each sub-sequence is smaller than + 1020 the sub-sequences are not overlapping. +

+

+ Getting distinct sub sequences is an important purpose of + jump function, however jump function is also available to get + a sub-sequence using parallel computing. +
+ Here is a sample of generating a sequence using 5 dSFMT instances. + This sample is included in the archive. + sample2.c +

+ +

License

+

+ sSFMT-jump, as well as sSFMT, can be used freely for any purpose, + including commercial use.
+ See LICENSE.txt for detail. +

+ + diff --git a/apps/medlda_release/dSFMT/jump/sample1.c b/apps/medlda_release/dSFMT/jump/sample1.c new file mode 100644 index 0000000..68c845b --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/sample1.c @@ -0,0 +1,55 @@ +/** + * @file sample.c + * + * @brief sample jump using pre-computed jump polynomial. + * + * The jump polynomial used in this program was calculated like this: +
+$ ./calc-jump 100000000000000000000 poly.1279.txt
+jump polynomial:
+2c6b058dca1fbfb57ebf41e67fec066c8828f2bf9414331d2767fa740aba89987685a79114b3543edbc83476e35fd1e52b8b2436932b9d18a728d8c7d7009a31aabed9bf4646909b8138f3e2a05e611c48dd1ce58a46183adabf3314da38599af92720efca1535872e7f85ef916b2c1e41dfe8ea764730f6ba2654ab287a55214bcf08cfae416906e4979108d606819b5d9e5b2f11ce028577f6c3788a9c688f1d64f5ae341eb95169824954
+
+*/ +/* + * In this sample, jump polynomial is fixed, then DSFMT_MEXP should be fixed. + */ +#define DSFMT_MEXP 1279 +#include +#include "dSFMT.h" +#include "dSFMT-jump.h" + +/* + * jump step is dSFMT internal state step, + * for double, 2 * jump step numbers are skipped. + */ +static const int size = 5; +/* 10^20 will be enough */ +static const char * jumppoly = "2c6b058dca1fbfb57ebf41e67fec066c8828f2bf" + "9414331d2767fa740aba89987685a79114b3543edbc83476e35fd1e52b8b2436932" + "b9d18a728d8c7d7009a31aabed9bf4646909b8138f3e2a05e611c48dd1ce58a4618" + "3adabf3314da38599af92720efca1535872e7f85ef916b2c1e41dfe8ea764730f6b" + "a2654ab287a55214bcf08cfae416906e4979108d606819b5d9e5b2f11ce028577f6" + "c3788a9c688f1d64f5ae341eb95169824954"; + +int main(int argc, char * argv[]) +{ + uint32_t seed = 4321; + dsfmt_t dsfmt[size]; + + dsfmt_init_gen_rand(&dsfmt[0], seed); + for (int i = 1; i < size; i++) { + dsfmt[i] = dsfmt[i - 1]; + dSFMT_jump(&dsfmt[i], jumppoly); + } + + for (int i = 0; i < 10; i++) { + /* simulating parallel generation */ + printf("%f %f %f %f %f\n", + dsfmt_genrand_close_open(&dsfmt[0]), + dsfmt_genrand_close_open(&dsfmt[1]), + dsfmt_genrand_close_open(&dsfmt[2]), + dsfmt_genrand_close_open(&dsfmt[3]), + dsfmt_genrand_close_open(&dsfmt[4])); + } + return 0; +} diff --git a/apps/medlda_release/dSFMT/jump/sample2.c b/apps/medlda_release/dSFMT/jump/sample2.c new file mode 100644 index 0000000..944f81c --- /dev/null +++ b/apps/medlda_release/dSFMT/jump/sample2.c @@ -0,0 +1,85 @@ +/** + * @file sample.c + * + * @brief sample jump using pre-computed jump polynomial. + * + * The jump polynomial used in this program was calculated like this: +
+$ ./calc-jump 10000 lcm.521.txt
+jump polynomial:
+61cfe6581dea7caf5009f3366e7ba5c81e78da9f2700af2ad3cddc005b1b542bf9295a1a81c7d41ebae4edd16780347d604da7b861074aa7abadbfb4a5cbf9ea0d6a65bbd
+
+* This jump step is too small for actual use, just for check. +* Use larger step for your application. +*/ +/* + * In this sample, jump polynomial is fixed, then DSFMT_MEXP should be fixed. + */ +#define DSFMT_MEXP 521 +#include +#include "dSFMT.h" +#include "dSFMT-jump.h" + +/* + * jump step is dSFMT internal state step, + * for double, 2 * jump step numbers are skipped. + */ +static const int step = 2 * 2000; +static const int size = 5; +static const char * jump2000 = "19976402611e3971602315ac42c1362b69367b411" + "1785f40aa0ab67ce3e41e8d60eb1f3b012ed9854d7b594094b4b58670b30b9b1ea18a" + "dba31d715592b6595195e01d458"; +static const char * jump8000 = "b615c968ff87afc24e13d91dc2c27737a396667f6e" + "b2979039b0de4d622a169d4d0b8200d2ee3b86d5f4528573abb4e55330bb0f002d66b" + "762f42956f74a38e1cb5dbee2c"; + +int main(int argc, char * argv[]) +{ + uint32_t seed = 1234; + dsfmt_t dsfmt[size]; + dsfmt_t serial; + uint32_t array[size * step]; + + /* set up initial position of six sfmt instances + * sfmt[0]: position 0 -- 2000, jump, 10000 -- 12000 + * sfmt[1]: position 2000 -- 4000, jump, 12000 -- 14000 + * sfmt[2]: position 4000 -- 6000 + * sfmt[3]: position 6000 -- 8000 + * sfmt[4]: position 8000 -- 10000 + */ + dsfmt_init_gen_rand(&dsfmt[0], seed); + for (int i = 1; i < size; i++) { + dsfmt[i] = dsfmt[i - 1]; + dSFMT_jump(&dsfmt[i], jump2000); + } + /* initialize serial generator */ + dsfmt_init_gen_rand(&serial, seed); + /* generate and compare with serial generation */ + for (int i = 0; i < 10; i++) { + /* simulating parallel generation */ + for (int j = 0; j < step; j++) { + array[j + 0 * step] = dsfmt_genrand_uint32(&dsfmt[0]); + array[j + 1 * step] = dsfmt_genrand_uint32(&dsfmt[1]); + array[j + 2 * step] = dsfmt_genrand_uint32(&dsfmt[2]); + array[j + 3 * step] = dsfmt_genrand_uint32(&dsfmt[3]); + array[j + 4 * step] = dsfmt_genrand_uint32(&dsfmt[4]); + } + /* checking */ + printf("comparing with serial generation %d to %d", + i * 10000, (i + 1) * 10000 -1); + for (int j = 0; j < size * step; j++) { + if (dsfmt_genrand_uint32(&serial) != array[j]) { + printf("something wrong! i=%d, j=%d\n", i, j); + return -1; + } + } + printf(" OK\n"); + /* simulating parallel jump */ + dSFMT_jump(&dsfmt[0], jump8000); + dSFMT_jump(&dsfmt[1], jump8000); + dSFMT_jump(&dsfmt[2], jump8000); + dSFMT_jump(&dsfmt[3], jump8000); + dSFMT_jump(&dsfmt[4], jump8000); + } + return 0; +} diff --git a/apps/medlda_release/dSFMT/test.c b/apps/medlda_release/dSFMT/test.c new file mode 100644 index 0000000..82d55db --- /dev/null +++ b/apps/medlda_release/dSFMT/test.c @@ -0,0 +1,769 @@ +#include +#include +#include +#include +#include +#define DSFMT_DO_NOT_USE_OLD_NAMES +#include "dSFMT.h" + +#define NUM_RANDS 50000 +#define TIC_MAG 1 +#define TIC_COUNT 2000 + +w128_t dummy[NUM_RANDS / 2 + 1]; + +typedef double (*genrand_t)(void); +typedef double (*st_genrand_t)(dsfmt_t *dsfmt); +typedef void (*fill_array_t)(double array[], int size); +typedef void (*st_fill_array_t)(dsfmt_t *dsfmt, double array[], int size); + +#ifdef __GNUC__ +static void test_co(void) __attribute__((noinline)); +static void test_oc(void) __attribute__((noinline)); +static void test_oo(void) __attribute__((noinline)); +static void test_12(void) __attribute__((noinline)); +static void test_seq_co(void) __attribute__((noinline)); +static void test_seq_oc(void) __attribute__((noinline)); +static void test_seq_oo(void) __attribute__((noinline)); +static void test_seq_12(void) __attribute__((noinline)); +#else +static void test_co(void); +static void test_oc(void); +static void test_oo(void); +static void test_12(void); +static void test_seq_co(void); +static void test_seq_oc(void); +static void test_seq_oo(void); +static void test_seq_12(void); +#endif +static void check(char *start_mess, genrand_t genrand, fill_array_t fill_array, + st_genrand_t st_genrand, st_fill_array_t st_fill_array, + uint32_t seed, int n); +static void check_ar(char *start_mess, genrand_t genrand, + fill_array_t fill_array, + st_genrand_t st_genrand, + st_fill_array_t st_fill_array, + int n); + +/* not inline wrapper functions for check() */ +static double s_genrand_close_open(void) { + return dsfmt_gv_genrand_close_open(); +} +static double s_genrand_open_close(void) { + return dsfmt_gv_genrand_open_close(); +} +static double s_genrand_open_open(void) { + return dsfmt_gv_genrand_open_open(); +} +static double s_genrand_close1_open2(void) { + return dsfmt_gv_genrand_close1_open2(); +} +static double sst_genrand_close_open(dsfmt_t *dsfmt) { + return dsfmt_genrand_close_open(dsfmt); +} +static double sst_genrand_open_close(dsfmt_t *dsfmt) { + return dsfmt_genrand_open_close(dsfmt); +} +static double sst_genrand_open_open(dsfmt_t *dsfmt) { + return dsfmt_genrand_open_open(dsfmt); +} +static double sst_genrand_close1_open2(dsfmt_t *dsfmt) { + return dsfmt_genrand_close1_open2(dsfmt); +} +static void s_fill_array_close_open(double array[], int size) { + dsfmt_gv_fill_array_close_open(array, size); +} +static void s_fill_array_open_close(double array[], int size) { + dsfmt_gv_fill_array_open_close(array, size); +} +static void s_fill_array_open_open(double array[], int size) { + dsfmt_gv_fill_array_open_open(array, size); +} +static void s_fill_array_close1_open2(double array[], int size) { + dsfmt_gv_fill_array_close1_open2(array, size); +} +static void sst_fill_array_close_open(dsfmt_t *dsfmt, double array[], + int size) { + dsfmt_fill_array_close_open(dsfmt, array, size); +} +static void sst_fill_array_open_close(dsfmt_t *dsfmt, double array[], + int size) { + dsfmt_fill_array_open_close(dsfmt, array, size); +} +static void sst_fill_array_open_open(dsfmt_t *dsfmt, double array[], + int size) { + dsfmt_fill_array_open_open(dsfmt, array, size); +} +static void sst_fill_array_close1_open2(dsfmt_t *dsfmt, double array[], + int size) { + dsfmt_fill_array_close1_open2(dsfmt, array, size); +} + +static void check(char *range_str, genrand_t genrand, fill_array_t fill_array, + st_genrand_t st_genrand, st_fill_array_t st_fill_array, + uint32_t seed, int print_size) { + int i; + union W64_T { + uint64_t u; + double d; + }; + w128_t little[DSFMT_N+1]; + union W64_T *array = (union W64_T *)dummy; + union W64_T *plittle = (union W64_T *)little; + union W64_T r, r_st; + int lsize = DSFMT_N * 2 + 2; + dsfmt_t dsfmt; + + printf("generated randoms %s\n", range_str); + dsfmt_gv_init_gen_rand(seed); + fill_array(&plittle[0].d, lsize); + fill_array(&array[0].d, 5000); + dsfmt_gv_init_gen_rand(seed); + dsfmt_init_gen_rand(&dsfmt, seed); + for (i = 0; i < lsize; i++) { + r.d = genrand(); + r_st.d = st_genrand(&dsfmt); + if (r.u != r_st.u || r.u != plittle[i].u) { + printf("\n%s mismatch i = %d: r = %1.15f(%08"PRIx64"), " + "st = %1.15f(%08"PRIx64")" + "array = %1.15f(%08"PRIx64")\n", + range_str, i, r.d, r.u, + r_st.d, r_st.u, + plittle[i].d, plittle[i].u); + exit(1); + } + if (i < print_size) { + printf("%1.15f ", plittle[i].d); + if (i % 4 == 3) { + printf("\n"); + } + } + } + for (i = 0; i < 5000; i++) { + r.d = genrand(); + if (r.u != array[i].u) { + printf("\n%s mismatch i = %d: r = %1.15f(%08"PRIx64"), " + "array = %1.15f(%08"PRIx64")\n", + range_str, i + lsize, r.d, r.u, + array[i].d, array[i].u); + exit(1); + } + if (i + lsize < print_size) { + printf("%1.15f ", array[i].d); + if ((i + lsize) % 4 == 3) { + printf("\n"); + } + } + } + + dsfmt_init_gen_rand(&dsfmt, seed); + st_fill_array(&dsfmt, &plittle[0].d, lsize); + st_fill_array(&dsfmt, &array[0].d, 5000); + dsfmt_init_gen_rand(&dsfmt, seed); + for (i = 0; i < lsize; i++) { + r_st.d = st_genrand(&dsfmt); + if (r_st.u != plittle[i].u) { + printf("\n%s mismatch i = %d: st = %1.15f(%08"PRIx64"), " + "array = %1.15f(%08"PRIx64")\n", + range_str, i, r_st.d, r_st.u, + plittle[i].d, plittle[i].u); + exit(1); + } + } + for (i = 0; i < 5000; i++) { + r_st.d = st_genrand(&dsfmt); + if (r_st.u != array[i].u) { + printf("\n%s mismatch i = %d: r = %1.15f(%08"PRIx64"), " + "array = %1.15f(%08"PRIx64")\n", + range_str, i + lsize, r_st.d, r_st.u, + array[i].d, array[i].u); + exit(1); + } + } +} + +static void check_ar(char *range_str, genrand_t genrand, + fill_array_t fill_array, + st_genrand_t st_genrand, + st_fill_array_t st_fill_array, + int print_size) { + int i; + union W64_T { + uint64_t u; + double d; + }; + w128_t little[DSFMT_N+1]; + union W64_T *array = (union W64_T *)dummy; + union W64_T *plittle = (union W64_T *)little; + union W64_T r, r_st; + int lsize = DSFMT_N * 2 + 2; + dsfmt_t dsfmt; + uint32_t ar[4] = {1, 2, 3, 4}; + + printf("generated randoms %s\n", range_str); + dsfmt_gv_init_by_array(ar, 4); + fill_array(&plittle[0].d, lsize); + fill_array(&array[0].d, 5000); + dsfmt_gv_init_by_array(ar, 4); + dsfmt_init_by_array(&dsfmt, ar, 4); + for (i = 0; i < lsize; i++) { + r.d = genrand(); + r_st.d = st_genrand(&dsfmt); + if (r.u != r_st.u || r.u != plittle[i].u) { + printf("\n%s mismatch i = %d: r = %1.15f(%08"PRIx64"), " + "st = %1.15f(%08"PRIx64")" + "array = %1.15f(%08"PRIx64")\n", + range_str, i, r.d, r.u, + r_st.d, r_st.u, + plittle[i].d, plittle[i].u); + exit(1); + } + if (i < print_size) { + printf("%1.15f ", plittle[i].d); + if (i % 4 == 3) { + printf("\n"); + } + } + } + for (i = 0; i < 5000; i++) { + r.d = genrand(); + if (r.u != array[i].u) { + printf("\n%s mismatch i = %d: r = %1.15f(%08"PRIx64"), " + "array = %1.15f(%08"PRIx64")\n", + range_str, i + lsize, r.d, r.u, + array[i].d, array[i].u); + exit(1); + } + if (i + lsize < print_size) { + printf("%1.15f ", array[i].d); + if ((i + lsize) % 4 == 3) { + printf("\n"); + } + } + } + + dsfmt_init_by_array(&dsfmt, ar, 4); + st_fill_array(&dsfmt, &plittle[0].d, lsize); + st_fill_array(&dsfmt, &array[0].d, 5000); + dsfmt_init_by_array(&dsfmt, ar, 4); + for (i = 0; i < lsize; i++) { + r_st.d = st_genrand(&dsfmt); + if (r_st.u != plittle[i].u) { + printf("\n%s mismatch i = %d: st = %1.15f(%08"PRIx64"), " + "array = %1.15f(%08"PRIx64")\n", + range_str, i, r_st.d, r_st.u, + plittle[i].d, plittle[i].u); + exit(1); + } + } + for (i = 0; i < 5000; i++) { + r_st.d = st_genrand(&dsfmt); + if (r_st.u != array[i].u) { + printf("\n%s mismatch i = %d: r = %1.15f(%08"PRIx64"), " + "array = %1.15f(%08"PRIx64")\n", + range_str, i + lsize, r_st.d, r_st.u, + array[i].d, array[i].u); + exit(1); + } + } +} + +static void test_co(void) { + uint32_t i, j; + uint64_t clo; + uint64_t sum; + double *array = (double *)dummy; + dsfmt_t dsfmt; + +#if 0 + dsfmt_gv_init_gen_rand(1234); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + dsfmt_gv_fill_array_close_open(array, NUM_RANDS); + } + clo = clock() - clo; + sum += clo; + } + printf("GL BLOCK [0, 1) AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +#endif + dsfmt_init_gen_rand(&dsfmt, 1234); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + dsfmt_fill_array_close_open(&dsfmt, array, NUM_RANDS); + } + clo = clock() - clo; + sum += clo; + } + printf("ST BLOCK [0, 1) AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +} + +static void test_oc(void) { + uint32_t i, j; + uint64_t clo; + uint64_t sum; + double *array = (double *)dummy; + dsfmt_t dsfmt; +#if 0 + dsfmt_gv_init_gen_rand(1234); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + dsfmt_gv_fill_array_open_close(array, NUM_RANDS); + } + clo = clock() - clo; + sum += clo; + } + printf("GL BLOCK (0, 1] AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +#endif + dsfmt_init_gen_rand(&dsfmt, 1234); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + dsfmt_fill_array_open_close(&dsfmt, array, NUM_RANDS); + } + clo = clock() - clo; + sum += clo; + } + printf("ST BLOCK (0, 1] AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +} + +static void test_oo(void) { + uint32_t i, j; + uint64_t clo; + uint64_t sum; + double *array = (double *)dummy; + dsfmt_t dsfmt; +#if 0 + dsfmt_gv_init_gen_rand(1234); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + dsfmt_gv_fill_array_open_open(array, NUM_RANDS); + } + clo = clock() - clo; + sum += clo; + } + printf("GL BLOCK (0, 1) AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +#endif + dsfmt_init_gen_rand(&dsfmt, 1234); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + dsfmt_fill_array_open_open(&dsfmt, array, NUM_RANDS); + } + clo = clock() - clo; + sum += clo; + } + printf("ST BLOCK (0, 1) AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +} + +static void test_12(void) { + uint32_t i, j; + uint64_t clo; + uint64_t sum; + double *array = (double *)dummy; + dsfmt_t dsfmt; +#if 0 + dsfmt_gv_init_gen_rand(1234); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + dsfmt_gv_fill_array_close1_open2(array, NUM_RANDS); + } + clo = clock() - clo; + sum += clo; + } + printf("GL BLOCK [1, 2) AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +#endif + dsfmt_init_gen_rand(&dsfmt, 1234); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + dsfmt_fill_array_close1_open2(&dsfmt, array, NUM_RANDS); + } + clo = clock() - clo; + sum += clo; + } + printf("ST BLOCK [1, 2) AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +} + +static void test_seq_co(void) { + uint32_t i, j, k; + uint64_t clo; + uint64_t sum; + double *array = (double *)dummy; + double r; + double total = 0; + dsfmt_t dsfmt; +#if 0 + dsfmt_gv_init_gen_rand(1234); + sum = 0; + r = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + r += dsfmt_gv_genrand_close_open(); + } + } + clo = clock() - clo; + sum += clo; + } + total = r; + printf("GL SEQ [0, 1) 1 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + array[k] = dsfmt_gv_genrand_close_open(); + } + } + clo = clock() - clo; + sum += clo; + } + for (k = 0; k < NUM_RANDS; k++) { + total += array[k]; + } + printf("GL SEQ [0, 1) 2 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +#endif + dsfmt_init_gen_rand(&dsfmt, 1234); + sum = 0; + r = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + r += dsfmt_genrand_close_open(&dsfmt); + } + } + clo = clock() - clo; + sum += clo; + } + total = r; + printf("ST SEQ [0, 1) 1 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + array[k] = dsfmt_genrand_close_open(&dsfmt); + } + } + clo = clock() - clo; + sum += clo; + } + for (k = 0; k < NUM_RANDS; k++) { + total += array[k]; + } + printf("ST SEQ [0, 1) 2 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + + printf("total = %f\n", total); +} + +static void test_seq_oc(void) { + uint32_t i, j, k; + uint64_t clo; + uint64_t sum; + double *array = (double *)dummy; + double r; + double total = 0; + dsfmt_t dsfmt; +#if 0 + dsfmt_gv_init_gen_rand(1234); + sum = 0; + r = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + r += dsfmt_gv_genrand_open_close(); + } + } + clo = clock() - clo; + sum += clo; + } + total = r; + printf("GL SEQ (0, 1] 1 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + array[k] = dsfmt_gv_genrand_open_close(); + } + } + clo = clock() - clo; + sum += clo; + } + for (k = 0; k < NUM_RANDS; k++) { + total += array[k]; + } + printf("GL SEQ (0, 1] 2 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +#endif + dsfmt_init_gen_rand(&dsfmt, 1234); + sum = 0; + r = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + r += dsfmt_genrand_open_close(&dsfmt); + } + } + clo = clock() - clo; + sum += clo; + } + total += r; + printf("ST SEQ (0, 1] 1 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + array[k] = dsfmt_genrand_open_close(&dsfmt); + } + } + clo = clock() - clo; + sum += clo; + } + for (k = 0; k < NUM_RANDS; k++) { + total += array[k]; + } + printf("ST SEQ (0, 1] 2 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + printf("total = %f\n", total); +} + +static void test_seq_oo(void) { + uint32_t i, j, k; + uint64_t clo; + uint64_t sum; + double *array = (double *)dummy; + double r; + double total = 0; + dsfmt_t dsfmt; +#if 0 + dsfmt_gv_init_gen_rand(1234); + sum = 0; + r = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + r += dsfmt_gv_genrand_open_open(); + } + } + clo = clock() - clo; + sum += clo; + } + total = r; + printf("GL SEQ (0, 1) 1 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + array[k] = dsfmt_gv_genrand_open_open(); + } + } + clo = clock() - clo; + sum += clo; + } + for (k = 0; k < NUM_RANDS; k++) { + total += array[k]; + } + printf("GL SEQ (0, 1) 2 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +#endif + dsfmt_init_gen_rand(&dsfmt, 1234); + sum = 0; + r = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + r += dsfmt_genrand_open_open(&dsfmt); + } + } + clo = clock() - clo; + sum += clo; + } + total += r; + printf("ST SEQ (0, 1) 1 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + array[k] = dsfmt_genrand_open_open(&dsfmt); + } + } + clo = clock() - clo; + sum += clo; + } + for (k = 0; k < NUM_RANDS; k++) { + total += array[k]; + } + printf("ST SEQ (0, 1) 2 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + printf("total = %f\n", total); +} + +static void test_seq_12(void) { + uint32_t i, j, k; + uint64_t clo; + uint64_t sum; + double *array = (double *)dummy; + double r; + double total = 0; + dsfmt_t dsfmt; +#if 0 + dsfmt_gv_init_gen_rand(1234); + sum = 0; + r = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + r += dsfmt_gv_genrand_close1_open2(); + } + } + clo = clock() - clo; + sum += clo; + } + total = r; + printf("GL SEQ [1, 2) 1 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + array[k] = dsfmt_gv_genrand_close1_open2(); + } + } + clo = clock() - clo; + sum += clo; + } + for (k = 0; k < NUM_RANDS; k++) { + total += array[k]; + } + printf("GL SEQ [1, 2) 2 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); +#endif + dsfmt_init_gen_rand(&dsfmt, 1234); + sum = 0; + r = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + r += dsfmt_genrand_close1_open2(&dsfmt); + } + } + clo = clock() - clo; + sum += clo; + } + total += r; + printf("ST SEQ [1, 2) 1 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + sum = 0; + for (i = 0; i < 10; i++) { + clo = clock(); + for (j = 0; j < TIC_COUNT; j++) { + for (k = 0; k < NUM_RANDS; k++) { + array[k] = dsfmt_genrand_close1_open2(&dsfmt); + } + } + clo = clock() - clo; + sum += clo; + } + for (k = 0; k < NUM_RANDS; k++) { + total += array[k]; + } + printf("ST SEQ [1, 2) 2 AVE:%4"PRIu64"ms.\n", + (sum * 100) / CLOCKS_PER_SEC); + printf("total = %f\n", total); +} + +int main(int argc, char *argv[]) { + int i; + + if ((argc >= 2) && (strncmp(argv[1],"-s",2) == 0)) { + printf("consumed time for generating %d randoms.\n", + NUM_RANDS * TIC_COUNT); + test_co(); + test_oc(); + test_oo(); + test_12(); + test_seq_co(); + test_seq_oc(); + test_seq_oo(); + test_seq_12(); + } else { + printf("%s\n", dsfmt_get_idstring()); + printf("init_gen_rand(0) "); + check("[1, 2)", s_genrand_close1_open2, s_fill_array_close1_open2, + sst_genrand_close1_open2, sst_fill_array_close1_open2, 0, 1000); + for (i = 0; i < 20; i++) { + printf("init_gen_rand(%d) ", i); + switch (i % 4) { + case 0: + check("[0, 1)", s_genrand_close_open, s_fill_array_close_open, + sst_genrand_close_open, sst_fill_array_close_open, i, 12); + break; + case 1: + check("(0, 1]", s_genrand_open_close, s_fill_array_open_close, + sst_genrand_open_close, sst_fill_array_open_close, i, 12); + break; + case 2: + check("(0, 1)", s_genrand_open_open, s_fill_array_open_open, + sst_genrand_open_open, sst_fill_array_open_open, i, 12); + break; + case 3: + default: + check("[1, 2)", s_genrand_close1_open2, + s_fill_array_close1_open2, + sst_genrand_close1_open2, + sst_fill_array_close1_open2, i, 12); + } + } + printf("init_by_array {1, 2, 3, 4} "); + check_ar("[1, 2)", s_genrand_close1_open2, + s_fill_array_close1_open2, + sst_genrand_close1_open2, + sst_fill_array_close1_open2, + 1000); + } + return 0; +} diff --git a/apps/medlda_release/dsfmt.cpp b/apps/medlda_release/dsfmt.cpp new file mode 100644 index 0000000..c496028 --- /dev/null +++ b/apps/medlda_release/dsfmt.cpp @@ -0,0 +1,39 @@ +#include "dsfmt.hpp" +#include "dSFMT-jump.h" +#include "dsfmt_polys.c" +#include +#include + +DSFMT::DSFMT(uint32_t seed) { + dsfmt_init_gen_rand(&state, seed); + _saved = NAN; + _saved_available = false; +}; + +void DSFMT::jump_state(uint64_t steps) { + for (int b=0; b < 64; b++) + if ((steps>>b) & 1) + dSFMT_jump(&state, JUMP_19937_2POWS[b]); +}; + +double DSFMT::uniform_real() { + return dsfmt_genrand_close_open(&state); +}; + +double DSFMT::standard_normal() { + if (_saved_available) { + _saved_available = false; + return _saved; + } + _saved_available = true; + double x, y, r2; + do { + x = 2.0 * dsfmt_genrand_open_open(&state) - 1.0; + y = 2.0 * dsfmt_genrand_open_open(&state) - 1.0; + r2 = x * x + y * y; + } while (r2 > 1.0 || r2 == 0.0); + + const double mult = std::sqrt(-2 * std::log(r2) / r2); + _saved = y * mult; + return x * mult; +}; diff --git a/apps/medlda_release/dsfmt.hpp b/apps/medlda_release/dsfmt.hpp new file mode 100644 index 0000000..43af6ab --- /dev/null +++ b/apps/medlda_release/dsfmt.hpp @@ -0,0 +1,22 @@ +#ifndef DSFMT_HPP +#define DSFMT_HPP + +#define DSFMT_MEXP 19937 +#include "dSFMT.h" + +#define DEFAULT_SEED 56789U +#define DEFAULT_JUMP 1<<30 + +struct DSFMT { + DSFMT(uint32_t seed = DEFAULT_SEED); + void jump_state(uint64_t steps = DEFAULT_JUMP); + void discard(uint64_t steps) { jump_state(steps>>1); } + double uniform_real(); /* half closed [0, 1) */ + double standard_normal(); /* box muller as in gnu C++11 impl */ + + dsfmt_t state; + double _saved; + bool _saved_available; +}; + +#endif diff --git a/apps/medlda_release/dsfmt_polys.c b/apps/medlda_release/dsfmt_polys.c new file mode 100644 index 0000000..ecb2d6e --- /dev/null +++ b/apps/medlda_release/dsfmt_polys.c @@ -0,0 +1,70 @@ +#ifndef DSFMT_POLYS_C +#define DSFMT_POLYS_C +static const char * const POLY_19937 = 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+static const char * const JUMP_19937_2POWS[64] = { + "2", + "4", + "01", + "001", + "00001", + "000000001", + "00000000000000001", + "000000000000000000000000000000001", + "00000000000000000000000000000000000000000000000000000000000000001", + "000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001", + "00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000001", + 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+}; +#endif diff --git a/apps/medlda_release/run.py b/apps/medlda_release/run.py new file mode 100755 index 0000000..6a5dee8 --- /dev/null +++ b/apps/medlda_release/run.py @@ -0,0 +1,192 @@ +#!/usr/bin/env python +import io +import os +import sys +import fcntl +import regex as re +import argparse +from os.path import basename, dirname, exists, join +from subprocess32 import Popen, PIPE, STDOUT +from signal import SIGINT, SIGTERM, SIGKILL +from time import clock, sleep +from datetime import datetime +import numpy as np +from sklearn.metrics import classification_report, confusion_matrix +np.set_printoptions(linewidth=200, threshold=2000) +from socket import gethostname +hostname = gethostname() + '\n' + +STALL_TIMEOUT = 600 + +def get_args(argv): + ''' + read command line arguments and process them + ''' + #mandatory arguments + helper = argparse.ArgumentParser(description='wrapper to run medlda through mpirun') + helper.add_argument('-f', '--features', dest='features', type=str, required=True, + help='directory for feature files assuming lsvm_train and lsvm_test') + helper.add_argument('--dumpdir', dest='dumpdir', type=str, required=False, default=None, + help='directory for dumping output') + helper.add_argument('--loaddir', dest='loaddir', type=str, required=False, default=None, + help='directory for reading stored model for hot-start') + helper.add_argument('-a', '--alpha', dest='alpha', type=str, default='.32', required=False, + help='alpha prior for topics') + helper.add_argument('-b', '--beta', dest='beta', type=str, default='.02', required=False, + help='beta prior for features (words)') + helper.add_argument('-c', '--cost', dest='cost', type=str, default='3.2', required=False, + help='cost for classifier loss') + helper.add_argument('-e', '--ell', dest='ell', type=str, default='64', required=False, + help='ell parameter on classifier loss') + helper.add_argument('-p', '--eps', dest='eps', type=str, default='0.1', required=False, + help='ell parameter on classifier loss') + helper.add_argument('-n', '--num_burnin', dest='num_burnin', type=int, required=False, + help='number of burnin iterations for training') + helper.add_argument('-s', '--num_sample', dest='num_sample', type=int, required=False, + help='number of sample iterations for training') + helper.add_argument('-k', '--num_topic', dest='num_topic', type=int, default=24, required=False, + help='number of topics') + helper.add_argument('-t', '--num_target', dest='num_target', type=int, default=0, required=False, + help='number of regression targets') + helper.add_argument('-l', '--num_label', dest='num_label', type=int, required=True, + help='number of labels') + helper.add_argument('-v', '--read_vocab', dest='read_vocab', type=str, default='', required=False, + help='path to hashed vocab items to get all workers to read the same vocabulary') + helper.add_argument('-x', '--num_xtra', dest='num_xtra', type=int, default=0, required=False, + help='number of "observable" "topic" "values"') + helper.add_argument('--task_sizes', dest='label_task_sizes', type=str, default='', required=False, + help='label task sizes if more than 1: comma separated list') + helper.add_argument('--save_interval', dest='save_interval', type=int, default=None, required=False, + help='how often to save intermediate results from training') + helper.add_argument('-m', '--machfile', dest='machfile', type=str, default='multimach.vm', + required=False) + helper.add_argument('--TEST_JUMPS', dest='TEST_JUMPS', default=False, action="store_true", required=False) + try: + args = helper.parse_args(argv) + if args.save_interval is None: args.save_interval = args.num_sample + 1 + if args.dumpdir is None: args.dumpdir = join(args.features, 'dump') + if args.loaddir is None: args.loaddir = join(basename(args.dumpdir), 'load') + except Exception, e: + print "Exception: " + str(e) + helper.print_help() + sys.exit(1) + print("The arguments are", args) + return args + + +args = get_args(sys.argv[1:]) +nodes = len(open(args.machfile).read().strip().splitlines()) +numservers = nodes // 2 +numworkerthreads = 16 +numworkers = nodes - numservers - 1 + +exitline = re.compile(r'^Rank \((\d+)\) Ready for exit program from main function in ldall.cpp') +abortline = re.compile(r'^\*\*\* Aborted') + +def mpirun(cmd, testfile, retries=4, retry_delay=0): + if exists(testfile): return True + if not exists(testfile + '_work'): + open(testfile + '_work', 'wb').write(hostname) + sleep(1) + if open(testfile + '_work', 'rb').read() != hostname: + return False + while retries > 0: + retries -= 1 + workers_finished = set() + try: + print nm, cmd + if 'LD_LIBRARY_PATH' in os.environ: + env = dict(os.environ) + del env['LD_LIBRARY_PATH'] + else: + env = os.environ + proc = Popen(cmd, bufsize=1, stdin=None, stdout=PIPE, stderr=STDOUT, env=env) + fd = proc.stdout.fileno() + fl = fcntl.fcntl(fd, fcntl.F_GETFL) | os.O_NONBLOCK + fcntl.fcntl(fd, fcntl.F_SETFL, fl) + pout = io.open(fd) + fc = lc = clock() + while proc.returncode is None: + for line in pout: + lc = clock() + sys.stderr.write(line) + m = abortline.match(line) + if m is not None: + sys.stderr.write('FOUND ' + m.group(0) + '\n') + sleep(5) + proc.terminate() + break + m = exitline.match(line) + if m is not None: + workers_finished.add(int(m.group(1))) + sys.stderr.write('FOUND %d %s: '% (len(workers_finished), sorted(workers_finished)) + m.group(0) + '\n') + if len(workers_finished) == numworkers: + proc.send_signal(SIGINT) + sys.stderr.write('signal sent\n') + sleep(1) + proc.poll() + if lc - fc < 2 * STALL_TIMEOUT: + if clock() - lc > STALL_TIMEOUT: + sys.stderr.write('*** process stalled for %s seconds ***\n' % STALL_TIMEOUT) + proc.send_signal(SIGINT) + sys.stderr.write('signal sent\n') + sleep(1) + else: + sleep(1e-5) + except: + if proc.returncode is None: + proc.terminate() + pass + if len(workers_finished) == numworkers: + sys.stderr.write('return True!\n') + os.unlink(testfile+'_work') + return True + sys.stderr.write('!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n') + sys.stderr.write('!!!!!!!!!!!! R E T R Y !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n') + sys.stderr.write('!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\n') + sleep(retry_delay) + os.unlink(testfile+'_work') + return False + +nm = 'medldaR_%s_%s_a%s_b%s_c%s_l%s_ml%d_t%se%s_%s_%s' % (args.label_task_sizes, args.num_topic, args.alpha, args.beta, args.cost, + args.ell, args.num_label, args.num_target, args.eps, args.num_burnin, args.num_sample) + +traindata = '%s/split.%d/lsvm_train' % (args.features, numworkers) +testdata = '%s/split.%d/lsvm_test' % (args.features, numworkers) +dumpdata = '%s/%s/' % (args.dumpdir, nm) +loaddata = '%s/%s/' % (args.loaddir, nm) + +prog = './bin/medlda' +cmd = ["mpirun", "-machinefile", args.machfile, "--display-map", "--map-by", "node", "-np", str(nodes), prog, + "-machfile", args.machfile, "-schedulers", str(numservers), "-num_thread", str(numworkerthreads), "-read_vocab", args.read_vocab, + "-num_burnin", str(args.num_burnin), "-num_sample", str(args.num_sample), "-save_interval", str(args.save_interval), + "-num_topic", str(args.num_topic), "-num_label", str(args.num_label), "-num_xtra", str(args.num_xtra), "-label_task_sizes", args.label_task_sizes, + "-num_target", str(args.num_target), "-alpha", args.alpha, "-beta", args.beta, "-cost", args.cost, "-ell", args.ell, "-dump_prefix", dumpdata, "-eps", args.eps] +if args.TEST_JUMPS: cmd.extend(["-TEST_DSFMT_JUMP_STATE", "1"]) +train_cmd = cmd + ["-train_prefix", traindata] +test_cmd = cmd + ["-test_prefix", testdata] + +if not exists(dumpdata + '_model'): + if not exists(traindata + '.0'): + os.system('python ./split.py %s %d' % (join(dirname(dirname(traindata)), basename(traindata)), numworkers)) + if not exists(traindata + '.0'): + sys.stderr.write('could not create training data splits at %s\n' % traindata) + sys.exit(-1) + + if not exists(dirname(dumpdata)): os.makedirs(dirname(dumpdata)) + + res = mpirun(train_cmd, dumpdata + '_model') + sys.stderr.write('res is %s for train %s\n' % (res, nm)) + if not res: + sys.exit(-1) + +if not exists(dumpdata + '_test_pred.0'): + if not exists(testdata + '.0'): + os.system('python ./split.py %s %d' % (join(dirname(dirname(testdata)), basename(testdata)), numworkers)) + if not exists(testdata + '.0'): + sys.stderr.write('could not create testing data splits at %s\n' % traindata) + sys.exit(-1) + res = mpirun(test_cmd, dumpdata + '_test_pred.0') + sys.stderr.write('res is %s for test %s\n' % (res, nm)) + if not res: + sys.exit(-1) diff --git a/apps/medlda_release/single/run.py b/apps/medlda_release/single/run.py new file mode 100755 index 0000000..ce38d3b --- /dev/null +++ b/apps/medlda_release/single/run.py @@ -0,0 +1,2 @@ +#!/usr/bin/env bash +exec ../run.py -msinglemach.vm $@ diff --git a/apps/medlda_release/single/singlemach.vm b/apps/medlda_release/single/singlemach.vm new file mode 100644 index 0000000..b984d66 --- /dev/null +++ b/apps/medlda_release/single/singlemach.vm @@ -0,0 +1,5 @@ +127.0.0.1 +127.0.0.1 +127.0.0.1 +127.0.0.1 +127.0.0.1 diff --git a/apps/medlda_release/single/split.py b/apps/medlda_release/single/split.py new file mode 100755 index 0000000..9c55121 --- /dev/null +++ b/apps/medlda_release/single/split.py @@ -0,0 +1,56 @@ +from os.path import basename, dirname, exists, join +import os +import sys +import random + +if len(sys.argv) != 3: + print 'python %s fname num_of_split' % sys.argv[0] + exit() + +fname = sys.argv[1] +num = int(sys.argv[2]) + +def chunk(xs, n): + ys = list(xs) + print 'Random shuffling' + random.shuffle(ys) + chunk_length = len(ys) // n + needs_extra = len(ys) % n + start = 0 + for i in xrange(n): + if i < needs_extra: + end = start + chunk_length + 1 + else: + end = start + chunk_length + yield ys[start:end] + start = end + +lines = open(fname, 'r').readlines() +print 'Total num of lines:', len(lines) +if exists(fname + '_ids'): + idlines = open(fname + '_ids').readlines() + print 'Total num of id lines:', len(idlines) + if len(idlines) != len(lines): + raise RuntimeError('input / ids mismatch') +else: + idlines = None +if not exists(join(dirname(fname), 'split.%d'%num)): + os.makedirs(join(dirname(fname), 'split.%d'%num)) +count = 0 +for i in chunk(range(len(lines)), num): + name = join(dirname(fname), 'split.%d'%num, basename(fname) + '.' + str(count)) + idname = join(dirname(fname), 'split.%d'%num, basename(fname) + '_ids.' + str(count)) + if exists(name): + raise RuntimeError("destination file exists") + print 'Writing %d lines into %s' % (len(i), name) + if idlines is None: + with open(name, 'w') as fp: + for l in i: + fp.write(lines[l]) + else: + with open(name, 'w') as fp,\ + open(idname, 'w') as idfp: + for l in i: + fp.write(lines[l]) + idfp.write(idlines[l]) + count += 1 diff --git a/apps/medlda_release/tester.cpp b/apps/medlda_release/tester.cpp index 1848974..31ff129 100644 --- a/apps/medlda_release/tester.cpp +++ b/apps/medlda_release/tester.cpp @@ -147,6 +147,7 @@ void Tester::InferOneSample(int doc_id, int tid) { // Construct counts EArray doc_topic_count(num_topic_); + doc_topic_count.setZero(); for (auto topic : doc.assignment_) ++doc_topic_count(topic); // Perform Gibbs sampling to obtain an estimate of theta diff --git a/apps/medlda_release/trainer.cpp b/apps/medlda_release/trainer.cpp index 510f5b0..eeb0b96 100644 --- a/apps/medlda_release/trainer.cpp +++ b/apps/medlda_release/trainer.cpp @@ -241,6 +241,7 @@ void Trainer::TrainOneSample(Sample& doc, int tid) { // Construct doc topic count on the fly to save memory // Use double to accomodate dot product EArray doc_topic_count(FLAGS_num_topic); + doc_topic_count.setZero(); for (auto topic : doc.assignment_) ++doc_topic_count(topic); // Draw auxilliary variable (all L x 1)