748086b7b2
From-SVN: r145841
798 lines
22 KiB
C
798 lines
22 KiB
C
/* Implementation of the RANDOM intrinsics
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Copyright 2002, 2004, 2005, 2006, 2007, 2009 Free Software Foundation, Inc.
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Contributed by Lars Segerlund <seger@linuxmail.org>
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and Steve Kargl.
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This file is part of the GNU Fortran 95 runtime library (libgfortran).
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Libgfortran is free software; you can redistribute it and/or
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modify it under the terms of the GNU General Public
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License as published by the Free Software Foundation; either
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version 3 of the License, or (at your option) any later version.
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Ligbfortran is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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Under Section 7 of GPL version 3, you are granted additional
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permissions described in the GCC Runtime Library Exception, version
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3.1, as published by the Free Software Foundation.
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You should have received a copy of the GNU General Public License and
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a copy of the GCC Runtime Library Exception along with this program;
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see the files COPYING3 and COPYING.RUNTIME respectively. If not, see
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<http://www.gnu.org/licenses/>. */
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#include "libgfortran.h"
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#include <gthr.h>
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#include <string.h>
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extern void random_r4 (GFC_REAL_4 *);
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iexport_proto(random_r4);
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extern void random_r8 (GFC_REAL_8 *);
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iexport_proto(random_r8);
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extern void arandom_r4 (gfc_array_r4 *);
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export_proto(arandom_r4);
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extern void arandom_r8 (gfc_array_r8 *);
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export_proto(arandom_r8);
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#ifdef HAVE_GFC_REAL_10
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extern void random_r10 (GFC_REAL_10 *);
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iexport_proto(random_r10);
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extern void arandom_r10 (gfc_array_r10 *);
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export_proto(arandom_r10);
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#endif
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#ifdef HAVE_GFC_REAL_16
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extern void random_r16 (GFC_REAL_16 *);
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iexport_proto(random_r16);
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extern void arandom_r16 (gfc_array_r16 *);
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export_proto(arandom_r16);
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#endif
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#ifdef __GTHREAD_MUTEX_INIT
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static __gthread_mutex_t random_lock = __GTHREAD_MUTEX_INIT;
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#else
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static __gthread_mutex_t random_lock;
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#endif
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/* Helper routines to map a GFC_UINTEGER_* to the corresponding
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GFC_REAL_* types in the range of [0,1). If GFC_REAL_*_RADIX are 2
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or 16, respectively, we mask off the bits that don't fit into the
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correct GFC_REAL_*, convert to the real type, then multiply by the
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correct offset. */
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static inline void
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rnumber_4 (GFC_REAL_4 *f, GFC_UINTEGER_4 v)
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{
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GFC_UINTEGER_4 mask;
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#if GFC_REAL_4_RADIX == 2
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mask = ~ (GFC_UINTEGER_4) 0u << (32 - GFC_REAL_4_DIGITS);
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#elif GFC_REAL_4_RADIX == 16
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mask = ~ (GFC_UINTEGER_4) 0u << ((8 - GFC_REAL_4_DIGITS) * 4);
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#else
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#error "GFC_REAL_4_RADIX has unknown value"
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#endif
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v = v & mask;
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*f = (GFC_REAL_4) v * (GFC_REAL_4) 0x1.p-32f;
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}
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static inline void
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rnumber_8 (GFC_REAL_8 *f, GFC_UINTEGER_8 v)
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{
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GFC_UINTEGER_8 mask;
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#if GFC_REAL_8_RADIX == 2
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mask = ~ (GFC_UINTEGER_8) 0u << (64 - GFC_REAL_8_DIGITS);
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#elif GFC_REAL_8_RADIX == 16
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mask = ~ (GFC_UINTEGER_8) 0u << (16 - GFC_REAL_8_DIGITS) * 4);
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#else
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#error "GFC_REAL_8_RADIX has unknown value"
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#endif
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v = v & mask;
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*f = (GFC_REAL_8) v * (GFC_REAL_8) 0x1.p-64;
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}
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#ifdef HAVE_GFC_REAL_10
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static inline void
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rnumber_10 (GFC_REAL_10 *f, GFC_UINTEGER_8 v)
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{
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GFC_UINTEGER_8 mask;
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#if GFC_REAL_10_RADIX == 2
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mask = ~ (GFC_UINTEGER_8) 0u << (64 - GFC_REAL_10_DIGITS);
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#elif GFC_REAL_10_RADIX == 16
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mask = ~ (GFC_UINTEGER_10) 0u << ((16 - GFC_REAL_10_DIGITS) * 4);
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#else
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#error "GFC_REAL_10_RADIX has unknown value"
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#endif
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v = v & mask;
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*f = (GFC_REAL_10) v * (GFC_REAL_10) 0x1.p-64;
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}
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#endif
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#ifdef HAVE_GFC_REAL_16
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/* For REAL(KIND=16), we only need to mask off the lower bits. */
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static inline void
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rnumber_16 (GFC_REAL_16 *f, GFC_UINTEGER_8 v1, GFC_UINTEGER_8 v2)
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{
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GFC_UINTEGER_8 mask;
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#if GFC_REAL_16_RADIX == 2
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mask = ~ (GFC_UINTEGER_8) 0u << (128 - GFC_REAL_16_DIGITS);
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#elif GFC_REAL_16_RADIX == 16
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mask = ~ (GFC_UINTEGER_8) 0u << ((32 - GFC_REAL_16_DIGITS) * 4);
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#else
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#error "GFC_REAL_16_RADIX has unknown value"
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#endif
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v2 = v2 & mask;
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*f = (GFC_REAL_16) v1 * (GFC_REAL_16) 0x1.p-64
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+ (GFC_REAL_16) v2 * (GFC_REAL_16) 0x1.p-128;
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}
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#endif
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/* libgfortran previously had a Mersenne Twister, taken from the paper:
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Mersenne Twister: 623-dimensionally equidistributed
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uniform pseudorandom generator.
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by Makoto Matsumoto & Takuji Nishimura
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which appeared in the: ACM Transactions on Modelling and Computer
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Simulations: Special Issue on Uniform Random Number
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Generation. ( Early in 1998 ).
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The Mersenne Twister code was replaced due to
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(1) Simple user specified seeds lead to really bad sequences for
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nearly 100000 random numbers.
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(2) open(), read(), and close() were not properly declared via header
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files.
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(3) The global index i was abused and caused unexpected behavior with
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GET and PUT.
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(4) See PR 15619.
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libgfortran currently uses George Marsaglia's KISS (Keep It Simple Stupid)
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random number generator. This PRNG combines:
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(1) The congruential generator x(n)=69069*x(n-1)+1327217885 with a period
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of 2^32,
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(2) A 3-shift shift-register generator with a period of 2^32-1,
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(3) Two 16-bit multiply-with-carry generators with a period of
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597273182964842497 > 2^59.
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The overall period exceeds 2^123.
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http://www.ciphersbyritter.com/NEWS4/RANDC.HTM#369F6FCA.74C7C041@stat.fsu.edu
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The above web site has an archive of a newsgroup posting from George
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Marsaglia with the statement:
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Subject: Random numbers for C: Improvements.
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Date: Fri, 15 Jan 1999 11:41:47 -0500
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From: George Marsaglia <geo@stat.fsu.edu>
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Message-ID: <369F6FCA.74C7C041@stat.fsu.edu>
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References: <369B5E30.65A55FD1@stat.fsu.edu>
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Newsgroups: sci.stat.math,sci.math,sci.math.numer-analysis
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Lines: 93
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As I hoped, several suggestions have led to
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improvements in the code for RNG's I proposed for
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use in C. (See the thread "Random numbers for C: Some
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suggestions" in previous postings.) The improved code
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is listed below.
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A question of copyright has also been raised. Unlike
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DIEHARD, there is no copyright on the code below. You
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are free to use it in any way you want, but you may
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wish to acknowledge the source, as a courtesy.
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"There is no copyright on the code below." included the original
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KISS algorithm. */
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/* We use three KISS random number generators, with different
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seeds.
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As a matter of Quality of Implementation, the random numbers
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we generate for different REAL kinds, starting from the same
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seed, are always the same up to the precision of these types.
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We do this by using three generators with different seeds, the
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first one always for the most significant bits, the second one
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for bits 33..64 (if present in the REAL kind), and the third one
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(called twice) for REAL(16). */
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#define GFC_SL(k, n) ((k)^((k)<<(n)))
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#define GFC_SR(k, n) ((k)^((k)>>(n)))
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/* Reference for the seed:
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From: "George Marsaglia" <g...@stat.fsu.edu>
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Newsgroups: sci.math
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Message-ID: <e7CcnWxczriWssCjXTWc3A@comcast.com>
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The KISS RNG uses four seeds, x, y, z, c,
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with 0<=x<2^32, 0<y<2^32, 0<=z<2^32, 0<=c<698769069
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except that the two pairs
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z=0,c=0 and z=2^32-1,c=698769068
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should be avoided. */
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/* Any modifications to the seeds that change kiss_size below need to be
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reflected in check.c (gfc_check_random_seed) to enable correct
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compile-time checking of PUT size for the RANDOM_SEED intrinsic. */
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#define KISS_DEFAULT_SEED_1 123456789, 362436069, 521288629, 316191069
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#define KISS_DEFAULT_SEED_2 987654321, 458629013, 582859209, 438195021
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#ifdef HAVE_GFC_REAL_16
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#define KISS_DEFAULT_SEED_3 573658661, 185639104, 582619469, 296736107
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#endif
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static GFC_UINTEGER_4 kiss_seed[] = {
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KISS_DEFAULT_SEED_1,
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KISS_DEFAULT_SEED_2,
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#ifdef HAVE_GFC_REAL_16
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KISS_DEFAULT_SEED_3
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#endif
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};
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static GFC_UINTEGER_4 kiss_default_seed[] = {
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KISS_DEFAULT_SEED_1,
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KISS_DEFAULT_SEED_2,
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#ifdef HAVE_GFC_REAL_16
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KISS_DEFAULT_SEED_3
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#endif
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};
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static const GFC_INTEGER_4 kiss_size = sizeof(kiss_seed)/sizeof(kiss_seed[0]);
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static GFC_UINTEGER_4 * const kiss_seed_1 = kiss_seed;
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static GFC_UINTEGER_4 * const kiss_seed_2 = kiss_seed + 4;
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#ifdef HAVE_GFC_REAL_16
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static GFC_UINTEGER_4 * const kiss_seed_3 = kiss_seed + 8;
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#endif
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/* kiss_random_kernel() returns an integer value in the range of
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(0, GFC_UINTEGER_4_HUGE]. The distribution of pseudorandom numbers
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should be uniform. */
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static GFC_UINTEGER_4
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kiss_random_kernel(GFC_UINTEGER_4 * seed)
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{
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GFC_UINTEGER_4 kiss;
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seed[0] = 69069 * seed[0] + 1327217885;
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seed[1] = GFC_SL(GFC_SR(GFC_SL(seed[1],13),17),5);
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seed[2] = 18000 * (seed[2] & 65535) + (seed[2] >> 16);
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seed[3] = 30903 * (seed[3] & 65535) + (seed[3] >> 16);
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kiss = seed[0] + seed[1] + (seed[2] << 16) + seed[3];
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return kiss;
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}
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/* This function produces a REAL(4) value from the uniform distribution
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with range [0,1). */
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void
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random_r4 (GFC_REAL_4 *x)
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{
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GFC_UINTEGER_4 kiss;
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__gthread_mutex_lock (&random_lock);
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kiss = kiss_random_kernel (kiss_seed_1);
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rnumber_4 (x, kiss);
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__gthread_mutex_unlock (&random_lock);
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}
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iexport(random_r4);
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/* This function produces a REAL(8) value from the uniform distribution
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with range [0,1). */
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void
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random_r8 (GFC_REAL_8 *x)
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{
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GFC_UINTEGER_8 kiss;
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__gthread_mutex_lock (&random_lock);
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kiss = ((GFC_UINTEGER_8) kiss_random_kernel (kiss_seed_1)) << 32;
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kiss += kiss_random_kernel (kiss_seed_2);
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rnumber_8 (x, kiss);
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__gthread_mutex_unlock (&random_lock);
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}
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iexport(random_r8);
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#ifdef HAVE_GFC_REAL_10
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/* This function produces a REAL(10) value from the uniform distribution
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with range [0,1). */
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void
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random_r10 (GFC_REAL_10 *x)
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{
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GFC_UINTEGER_8 kiss;
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__gthread_mutex_lock (&random_lock);
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kiss = ((GFC_UINTEGER_8) kiss_random_kernel (kiss_seed_1)) << 32;
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kiss += kiss_random_kernel (kiss_seed_2);
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rnumber_10 (x, kiss);
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__gthread_mutex_unlock (&random_lock);
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}
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iexport(random_r10);
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#endif
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/* This function produces a REAL(16) value from the uniform distribution
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with range [0,1). */
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#ifdef HAVE_GFC_REAL_16
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void
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random_r16 (GFC_REAL_16 *x)
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{
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GFC_UINTEGER_8 kiss1, kiss2;
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__gthread_mutex_lock (&random_lock);
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kiss1 = ((GFC_UINTEGER_8) kiss_random_kernel (kiss_seed_1)) << 32;
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kiss1 += kiss_random_kernel (kiss_seed_2);
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kiss2 = ((GFC_UINTEGER_8) kiss_random_kernel (kiss_seed_3)) << 32;
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kiss2 += kiss_random_kernel (kiss_seed_3);
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rnumber_16 (x, kiss1, kiss2);
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__gthread_mutex_unlock (&random_lock);
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}
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iexport(random_r16);
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#endif
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/* This function fills a REAL(4) array with values from the uniform
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distribution with range [0,1). */
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void
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arandom_r4 (gfc_array_r4 *x)
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{
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index_type count[GFC_MAX_DIMENSIONS];
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index_type extent[GFC_MAX_DIMENSIONS];
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index_type stride[GFC_MAX_DIMENSIONS];
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index_type stride0;
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index_type dim;
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GFC_REAL_4 *dest;
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GFC_UINTEGER_4 kiss;
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int n;
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dest = x->data;
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dim = GFC_DESCRIPTOR_RANK (x);
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for (n = 0; n < dim; n++)
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{
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count[n] = 0;
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stride[n] = x->dim[n].stride;
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extent[n] = x->dim[n].ubound + 1 - x->dim[n].lbound;
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if (extent[n] <= 0)
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return;
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}
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stride0 = stride[0];
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__gthread_mutex_lock (&random_lock);
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while (dest)
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{
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/* random_r4 (dest); */
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kiss = kiss_random_kernel (kiss_seed_1);
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rnumber_4 (dest, kiss);
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/* Advance to the next element. */
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dest += stride0;
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count[0]++;
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/* Advance to the next source element. */
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n = 0;
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while (count[n] == extent[n])
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{
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/* When we get to the end of a dimension, reset it and increment
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the next dimension. */
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count[n] = 0;
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/* We could precalculate these products, but this is a less
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frequently used path so probably not worth it. */
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dest -= stride[n] * extent[n];
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n++;
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if (n == dim)
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{
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dest = NULL;
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break;
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}
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else
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{
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count[n]++;
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dest += stride[n];
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}
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}
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}
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__gthread_mutex_unlock (&random_lock);
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}
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/* This function fills a REAL(8) array with values from the uniform
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distribution with range [0,1). */
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void
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arandom_r8 (gfc_array_r8 *x)
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{
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index_type count[GFC_MAX_DIMENSIONS];
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index_type extent[GFC_MAX_DIMENSIONS];
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index_type stride[GFC_MAX_DIMENSIONS];
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index_type stride0;
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index_type dim;
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GFC_REAL_8 *dest;
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GFC_UINTEGER_8 kiss;
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int n;
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dest = x->data;
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dim = GFC_DESCRIPTOR_RANK (x);
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for (n = 0; n < dim; n++)
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{
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count[n] = 0;
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stride[n] = x->dim[n].stride;
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extent[n] = x->dim[n].ubound + 1 - x->dim[n].lbound;
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if (extent[n] <= 0)
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return;
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}
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stride0 = stride[0];
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__gthread_mutex_lock (&random_lock);
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while (dest)
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{
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/* random_r8 (dest); */
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kiss = ((GFC_UINTEGER_8) kiss_random_kernel (kiss_seed_1)) << 32;
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kiss += kiss_random_kernel (kiss_seed_2);
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rnumber_8 (dest, kiss);
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/* Advance to the next element. */
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dest += stride0;
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count[0]++;
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/* Advance to the next source element. */
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n = 0;
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while (count[n] == extent[n])
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{
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/* When we get to the end of a dimension, reset it and increment
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the next dimension. */
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count[n] = 0;
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/* We could precalculate these products, but this is a less
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frequently used path so probably not worth it. */
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dest -= stride[n] * extent[n];
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n++;
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if (n == dim)
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{
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dest = NULL;
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break;
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}
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else
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{
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count[n]++;
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dest += stride[n];
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}
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}
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}
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__gthread_mutex_unlock (&random_lock);
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}
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#ifdef HAVE_GFC_REAL_10
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/* This function fills a REAL(10) array with values from the uniform
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distribution with range [0,1). */
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void
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arandom_r10 (gfc_array_r10 *x)
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{
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index_type count[GFC_MAX_DIMENSIONS];
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index_type extent[GFC_MAX_DIMENSIONS];
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index_type stride[GFC_MAX_DIMENSIONS];
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index_type stride0;
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index_type dim;
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GFC_REAL_10 *dest;
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GFC_UINTEGER_8 kiss;
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int n;
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dest = x->data;
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dim = GFC_DESCRIPTOR_RANK (x);
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for (n = 0; n < dim; n++)
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{
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count[n] = 0;
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stride[n] = x->dim[n].stride;
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extent[n] = x->dim[n].ubound + 1 - x->dim[n].lbound;
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if (extent[n] <= 0)
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return;
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}
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stride0 = stride[0];
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__gthread_mutex_lock (&random_lock);
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while (dest)
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{
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/* random_r10 (dest); */
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kiss = ((GFC_UINTEGER_8) kiss_random_kernel (kiss_seed_1)) << 32;
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kiss += kiss_random_kernel (kiss_seed_2);
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rnumber_10 (dest, kiss);
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/* Advance to the next element. */
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dest += stride0;
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count[0]++;
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/* Advance to the next source element. */
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n = 0;
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while (count[n] == extent[n])
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{
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/* When we get to the end of a dimension, reset it and increment
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the next dimension. */
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count[n] = 0;
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/* We could precalculate these products, but this is a less
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frequently used path so probably not worth it. */
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dest -= stride[n] * extent[n];
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n++;
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if (n == dim)
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{
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dest = NULL;
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break;
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}
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else
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{
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count[n]++;
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dest += stride[n];
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}
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}
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}
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__gthread_mutex_unlock (&random_lock);
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}
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#endif
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#ifdef HAVE_GFC_REAL_16
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/* This function fills a REAL(16) array with values from the uniform
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distribution with range [0,1). */
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void
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arandom_r16 (gfc_array_r16 *x)
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{
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index_type count[GFC_MAX_DIMENSIONS];
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index_type extent[GFC_MAX_DIMENSIONS];
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index_type stride[GFC_MAX_DIMENSIONS];
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index_type stride0;
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index_type dim;
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GFC_REAL_16 *dest;
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GFC_UINTEGER_8 kiss1, kiss2;
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int n;
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dest = x->data;
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dim = GFC_DESCRIPTOR_RANK (x);
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for (n = 0; n < dim; n++)
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{
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count[n] = 0;
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stride[n] = x->dim[n].stride;
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extent[n] = x->dim[n].ubound + 1 - x->dim[n].lbound;
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if (extent[n] <= 0)
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return;
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}
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stride0 = stride[0];
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__gthread_mutex_lock (&random_lock);
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while (dest)
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{
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/* random_r16 (dest); */
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kiss1 = ((GFC_UINTEGER_8) kiss_random_kernel (kiss_seed_1)) << 32;
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kiss1 += kiss_random_kernel (kiss_seed_2);
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kiss2 = ((GFC_UINTEGER_8) kiss_random_kernel (kiss_seed_3)) << 32;
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kiss2 += kiss_random_kernel (kiss_seed_3);
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rnumber_16 (dest, kiss1, kiss2);
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/* Advance to the next element. */
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dest += stride0;
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count[0]++;
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/* Advance to the next source element. */
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n = 0;
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while (count[n] == extent[n])
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{
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/* When we get to the end of a dimension, reset it and increment
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the next dimension. */
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count[n] = 0;
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/* We could precalculate these products, but this is a less
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frequently used path so probably not worth it. */
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dest -= stride[n] * extent[n];
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n++;
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if (n == dim)
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{
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dest = NULL;
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break;
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}
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else
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{
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count[n]++;
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dest += stride[n];
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}
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}
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}
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__gthread_mutex_unlock (&random_lock);
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}
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#endif
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static void
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scramble_seed (unsigned char *dest, unsigned char *src, int size)
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{
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int i;
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for (i = 0; i < size; i++)
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dest[(i % 2) * (size / 2) + i / 2] = src[i];
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}
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static void
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unscramble_seed (unsigned char *dest, unsigned char *src, int size)
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{
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int i;
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for (i = 0; i < size; i++)
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dest[i] = src[(i % 2) * (size / 2) + i / 2];
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}
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/* random_seed is used to seed the PRNG with either a default
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set of seeds or user specified set of seeds. random_seed
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must be called with no argument or exactly one argument. */
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void
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random_seed_i4 (GFC_INTEGER_4 *size, gfc_array_i4 *put, gfc_array_i4 *get)
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{
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int i;
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unsigned char seed[4*kiss_size];
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__gthread_mutex_lock (&random_lock);
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/* Check that we only have one argument present. */
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if ((size ? 1 : 0) + (put ? 1 : 0) + (get ? 1 : 0) > 1)
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runtime_error ("RANDOM_SEED should have at most one argument present.");
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/* From the standard: "If no argument is present, the processor assigns
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a processor-dependent value to the seed." */
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if (size == NULL && put == NULL && get == NULL)
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for (i = 0; i < kiss_size; i++)
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kiss_seed[i] = kiss_default_seed[i];
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if (size != NULL)
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*size = kiss_size;
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if (put != NULL)
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{
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/* If the rank of the array is not 1, abort. */
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if (GFC_DESCRIPTOR_RANK (put) != 1)
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runtime_error ("Array rank of PUT is not 1.");
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/* If the array is too small, abort. */
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if (((put->dim[0].ubound + 1 - put->dim[0].lbound)) < kiss_size)
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runtime_error ("Array size of PUT is too small.");
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/* We copy the seed given by the user. */
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for (i = 0; i < kiss_size; i++)
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memcpy (seed + i * sizeof(GFC_UINTEGER_4),
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&(put->data[(kiss_size - 1 - i) * put->dim[0].stride]),
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sizeof(GFC_UINTEGER_4));
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/* We put it after scrambling the bytes, to paper around users who
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provide seeds with quality only in the lower or upper part. */
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scramble_seed ((unsigned char *) kiss_seed, seed, 4*kiss_size);
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}
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/* Return the seed to GET data. */
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if (get != NULL)
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{
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/* If the rank of the array is not 1, abort. */
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if (GFC_DESCRIPTOR_RANK (get) != 1)
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runtime_error ("Array rank of GET is not 1.");
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/* If the array is too small, abort. */
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if (((get->dim[0].ubound + 1 - get->dim[0].lbound)) < kiss_size)
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runtime_error ("Array size of GET is too small.");
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/* Unscramble the seed. */
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unscramble_seed (seed, (unsigned char *) kiss_seed, 4*kiss_size);
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/* Then copy it back to the user variable. */
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for (i = 0; i < kiss_size; i++)
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memcpy (&(get->data[(kiss_size - 1 - i) * get->dim[0].stride]),
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seed + i * sizeof(GFC_UINTEGER_4),
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sizeof(GFC_UINTEGER_4));
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}
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__gthread_mutex_unlock (&random_lock);
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}
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iexport(random_seed_i4);
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void
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random_seed_i8 (GFC_INTEGER_8 *size, gfc_array_i8 *put, gfc_array_i8 *get)
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{
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int i;
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__gthread_mutex_lock (&random_lock);
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/* Check that we only have one argument present. */
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if ((size ? 1 : 0) + (put ? 1 : 0) + (get ? 1 : 0) > 1)
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runtime_error ("RANDOM_SEED should have at most one argument present.");
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/* From the standard: "If no argument is present, the processor assigns
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a processor-dependent value to the seed." */
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if (size == NULL && put == NULL && get == NULL)
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for (i = 0; i < kiss_size; i++)
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kiss_seed[i] = kiss_default_seed[i];
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if (size != NULL)
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*size = kiss_size / 2;
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if (put != NULL)
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{
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/* If the rank of the array is not 1, abort. */
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if (GFC_DESCRIPTOR_RANK (put) != 1)
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runtime_error ("Array rank of PUT is not 1.");
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/* If the array is too small, abort. */
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if (((put->dim[0].ubound + 1 - put->dim[0].lbound)) < kiss_size / 2)
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runtime_error ("Array size of PUT is too small.");
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/* This code now should do correct strides. */
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for (i = 0; i < kiss_size / 2; i++)
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memcpy (&kiss_seed[2*i], &(put->data[i * put->dim[0].stride]),
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sizeof (GFC_UINTEGER_8));
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}
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/* Return the seed to GET data. */
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if (get != NULL)
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{
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/* If the rank of the array is not 1, abort. */
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if (GFC_DESCRIPTOR_RANK (get) != 1)
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runtime_error ("Array rank of GET is not 1.");
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/* If the array is too small, abort. */
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if (((get->dim[0].ubound + 1 - get->dim[0].lbound)) < kiss_size / 2)
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runtime_error ("Array size of GET is too small.");
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/* This code now should do correct strides. */
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for (i = 0; i < kiss_size / 2; i++)
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memcpy (&(get->data[i * get->dim[0].stride]), &kiss_seed[2*i],
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sizeof (GFC_UINTEGER_8));
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}
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__gthread_mutex_unlock (&random_lock);
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}
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iexport(random_seed_i8);
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#ifndef __GTHREAD_MUTEX_INIT
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static void __attribute__((constructor))
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init (void)
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{
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__GTHREAD_MUTEX_INIT_FUNCTION (&random_lock);
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}
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#endif
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