llrand.cpp File Reference

Global random generator. More...

#include "linden_common.h"
#include "llrand.h"
#include "lluuid.h"

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Defines

#define LL_USE_SYSTEM_RAND   0

Functions

static LLRandLagFib2281 gRandomGenerator (LLUUID::getRandomSeed())
F64 ll_internal_random_double ()
F32 ll_internal_random_float ()
S32 ll_rand ()
 Generate a float from [0, RAND_MAX).
S32 ll_rand (S32 val)
 Generate a float from [0, val) or (val, 0].
F32 ll_frand ()
 Generate a float from [0, 1.0).
F32 ll_frand (F32 val)
 Generate a float from [0, val) or (val, 0].
F64 ll_drand ()
 Generate a double from [0, 1.0).
F64 ll_drand (F64 val)
 Generate a double from [0, val) or (val, 0].


Detailed Description

Global random generator.

LicenseInfo
firstyear=2000&license=viewergpl

Copyright (c) 2000-2008, Linden Research, Inc.

Second Life Viewer Source Code The source code in this file ("Source Code") is provided by Linden Lab to you under the terms of the GNU General Public License, version 2.0 ("GPL"), unless you have obtained a separate licensing agreement ("Other License"), formally executed by you and Linden Lab. Terms of the GPL can be found in doc/GPL-license.txt in this distribution, or online at http://secondlifegrid.net/programs/open_source/licensing/gplv2

There are special exceptions to the terms and conditions of the GPL as it is applied to this Source Code. View the full text of the exception in the file doc/FLOSS-exception.txt in this software distribution, or online at http://secondlifegrid.net/programs/open_source/licensing/flossexception

By copying, modifying or distributing this software, you acknowledge that you have read and understood your obligations described above, and agree to abide by those obligations.

ALL LINDEN LAB SOURCE CODE IS PROVIDED "AS IS." LINDEN LAB MAKES NO WARRANTIES, EXPRESS, IMPLIED OR OTHERWISE, REGARDING ITS ACCURACY, COMPLETENESS OR PERFORMANCE. $/LicenseInfo$

Definition in file llrand.cpp.


Define Documentation

#define LL_USE_SYSTEM_RAND   0

Through analysis, we have decided that we want to take values which are close enough to 1.0 to map back to 0.0. We came to this conclusion from noting that:

[0.0, 1.0)

when scaled to the integer set:

[0, 4)

there is some value close enough to 1.0 that when multiplying by 4, gets truncated to 4. Therefore:

[0,1-eps] => 0 [1,2-eps] => 1 [2,3-eps] => 2 [3,4-eps] => 3

So 0 gets uneven distribution if we simply clamp. The actual clamp utilized in this file is to map values out of range back to 0 to restore uniform distribution.

Also, for clamping floats when asking for a distribution from [0.0,g) we have determined that for values of g < 0.5, then rand*g=g, which is not the desired result. As above, we clamp to 0 to restore uniform distribution.

Definition at line 67 of file llrand.cpp.


Function Documentation

static LLRandLagFib2281 gRandomGenerator ( LLUUID::  getRandomSeed()  )  [static]

Referenced by ll_internal_random_double(), and ll_internal_random_float().

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F64 ll_drand ( F64  val  ) 

Generate a double from [0, val) or (val, 0].

Definition at line 163 of file llrand.cpp.

References ll_internal_random_double().

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F64 ll_drand (  ) 

Generate a double from [0, 1.0).

Definition at line 158 of file llrand.cpp.

References ll_internal_random_double().

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F32 ll_frand ( F32  val  ) 

Generate a float from [0, val) or (val, 0].

Definition at line 143 of file llrand.cpp.

References ll_internal_random_float().

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F32 ll_frand (  ) 

F64 ll_internal_random_double (  )  [inline]

Definition at line 105 of file llrand.cpp.

References gRandomGenerator().

Referenced by ll_drand(), and ll_rand().

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F32 ll_internal_random_float (  )  [inline]

Definition at line 116 of file llrand.cpp.

References gRandomGenerator().

Referenced by ll_frand().

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S32 ll_rand ( S32  val  ) 

Generate a float from [0, val) or (val, 0].

Definition at line 130 of file llrand.cpp.

References ll_internal_random_double(), and S32.

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S32 ll_rand (  ) 

Generate a float from [0, RAND_MAX).

Use the boost random number generators if you want a stateful random numbers. If you want more random numbers, use the c-functions since they will generate faster/better randomness across the process.

I tested some of the boost random engines, and picked a good double generator and a good integer generator. I also took some timings for them on linux using gcc 3.3.5. The harness also did some other fairly trivial operations to try to limit compiler optimizations, so these numbers are only good for relative comparisons.

usec/inter algorithm 0.21 boost::minstd_rand0 0.039 boost:lagged_fibonacci19937 0.036 boost:lagged_fibonacci607 0.44 boost::hellekalek1995 0.44 boost::ecuyer1988 0.042 boost::rand48 0.043 boost::mt11213b 0.028 stdlib random() 0.05 stdlib lrand48() 0.034 stdlib rand() 0.020 the old & lame LLRand

Definition at line 125 of file llrand.cpp.

References ll_rand().

Referenced by LLFetchInWelcomeArea::done(), encode_vorbis_file(), LLAgent::fidget(), LLUUID::generate(), get_random_bytes(), LLDir_Solaris::getRandomFileInDir(), LLDir_Linux::getRandomFileInDir(), LLAgent::heardChat(), ll_rand(), LLVOTreeNew::llrand_signed(), lsa_randomize(), random_sort(), LLDoubleLinkedList< DATA_TYPE >::scramble(), LLGestureManager::triggerAndReviseString(), and LLGestureManager::triggerGesture().

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