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- // This may look like C code, but it is really -*- C++ -*-
- /*
- Copyright (C) 1989 Free Software Foundation
-
- This file is part of the GNU C++ Library. This library is free
- software; you can redistribute it and/or modify it under the terms of
- the GNU Library General Public License as published by the Free
- Software Foundation; either version 2 of the License, or (at your
- option) any later version. This library is distributed in the hope
- that it will be useful, but WITHOUT ANY WARRANTY; without even the
- implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
- PURPOSE. See the GNU Library General Public License for more details.
- You should have received a copy of the GNU Library General Public
- License along with this library; if not, write to the Free Software
- Foundation, 675 Mass Ave, Cambridge, MA 02139, USA.
- */
- #ifdef __GNUG__
- #pragma implementation
- #endif
- #include <assert.h>
- #include <builtin.h>
- #include <xrng.h>
-
- // These two static fields get initialized by RNG::RNG().
- PrivateRNGSingleType RNG::singleMantissa;
- PrivateRNGDoubleType RNG::doubleMantissa;
-
- //
- // The scale constant is 2^-31. It is used to scale a 31 bit
- // long to a double.
- //
-
- //static const double randomDoubleScaleConstant = 4.656612873077392578125e-10;
- //static const float randomFloatScaleConstant = 4.656612873077392578125e-10;
-
- static char initialized = 0;
-
- RNG::RNG()
- {
- if (!initialized)
- {
-
- assert (sizeof(double) == 2 * sizeof(unsigned long));
-
- //
- // The following is a hack that I attribute to
- // Andres Nowatzyk at CMU. The intent of the loop
- // is to form the smallest number 0 <= x < 1.0,
- // which is then used as a mask for two longwords.
- // this gives us a fast way way to produce double
- // precision numbers from longwords.
- //
- // I know that this works for IEEE and VAX floating
- // point representations.
- //
- // A further complication is that gnu C will blow
- // the following loop, unless compiled with -ffloat-store,
- // because it uses extended representations for some of
- // of the comparisons. Thus, we have the following hack.
- // If we could specify #pragma optimize, we wouldn't need this.
- //
-
- PrivateRNGDoubleType t;
- PrivateRNGSingleType s;
-
- #if _IEEE == 1
-
- t.d = 1.5;
- if ( t.u[1] == 0 ) { // sun word order?
- t.u[0] = 0x3fffffff;
- t.u[1] = 0xffffffff;
- }
- else {
- t.u[0] = 0xffffffff; // encore word order?
- t.u[1] = 0x3fffffff;
- }
-
- s.u = 0x3fffffff;
- #else
- volatile double x = 1.0; // volatile needed when fp hardware used,
- // and has greater precision than memory doubles
- double y = 0.5;
- do { // find largest fp-number < 2.0
- t.d = x;
- x += y;
- y *= 0.5;
- } while (x != t.d && x < 2.0);
-
- volatile float xx = 1.0; // volatile needed when fp hardware used,
- // and has greater precision than memory floats
- float yy = 0.5;
- do { // find largest fp-number < 2.0
- s.s = xx;
- xx += yy;
- yy *= 0.5;
- } while (xx != s.s && xx < 2.0);
- #endif
- // set doubleMantissa to 1 for each doubleMantissa bit
- doubleMantissa.d = 1.0;
- doubleMantissa.u[0] ^= t.u[0];
- doubleMantissa.u[1] ^= t.u[1];
-
- // set singleMantissa to 1 for each singleMantissa bit
- singleMantissa.s = 1.0;
- singleMantissa.u ^= s.u;
-
- initialized = 1;
- }
- }
-
- float RNG::asFloat()
- {
- PrivateRNGSingleType result;
- result.s = 1.0;
- result.u |= (asLong() & singleMantissa.u);
- result.s -= 1.0;
- assert( result.s < 1.0 && result.s >= 0);
- return( result.s );
- }
-
- double RNG::asDouble()
- {
- PrivateRNGDoubleType result;
- result.d = 1.0;
- result.u[0] |= (asLong() & doubleMantissa.u[0]);
- result.u[1] |= (asLong() & doubleMantissa.u[1]);
- result.d -= 1.0;
- assert( result.d < 1.0 && result.d >= 0);
- return( result.d );
- }
-
-