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6fd0a3c6a8
These changes will be active for all platforms that don't provide their own exp() routines. They will also be active for ieee754 versions of ccos, ccosh, cosh, csin, csinh, sinh, exp10, gamma, and erf. Typical performance gains is typically around 5x when measured on Sparc s7 for common values between exp(1) and exp(40). Using the glibc perf tests on sparc, sparc (nsec) x86 (nsec) old new old new max 17629 395 5173 144 min 399 54 15 13 mean 5317 200 1349 23 The extreme max times for the old (ieee754) exp are due to the multiprecision computation in the old algorithm when the true value is very near 0.5 ulp away from an value representable in double precision. The new algorithm does not take special measures for those cases. The current glibc exp perf tests overrepresent those values. Informal testing suggests approximately one in 200 cases might invoke the high cost computation. The performance advantage of the new algorithm for other values is still large but not as large as indicated by the chart above. Glibc correctness tests for exp() and expf() were run. Within the test suite 3 input values were found to cause 1 bit differences (ulp) when "FE_TONEAREST" rounding mode is set. No differences in exp() were seen for the tested values for the other rounding modes. Typical example: exp(-0x1.760cd2p+0) (-1.46113312244415283203125) new code: 2.31973271630014299393707e-01 0x1.db14cd799387ap-3 old code: 2.31973271630014271638132e-01 0x1.db14cd7993879p-3 exp = 2.31973271630014285508337 (high precision) Old delta: off by 0.49 ulp New delta: off by 0.51 ulp In addition, because ieee754_exp() is used by other routines, cexp() showed test results with very small imaginary input values where the imaginary portion of the result was off by 3 ulp when in upward rounding mode, but not in the other rounding modes. For x86, tgamma showed a few values where the ulp increased to 6 (max ulp for tgamma is 5). Sparc tgamma did not show these failures. I presume the tgamma differences are due to compiler optimization differences within the gamma function.The gamma function is known to be difficult to compute accurately. * sysdeps/ieee754/dbl-64/e_exp.c: Include <math-svid-compat.h> and <errno.h>. Include "eexp.tbl". (half): New constant. (one): Likewise. (__ieee754_exp): Rewrite. (__slowexp): Remove prototype. * sysdeps/ieee754/dbl-64/eexp.tbl: New file. * sysdeps/ieee754/dbl-64/slowexp.c: Remove file. * sysdeps/i386/fpu/slowexp.c: Likewise. * sysdeps/ia64/fpu/slowexp.c: Likewise. * sysdeps/m68k/m680x0/fpu/slowexp.c: Likewise. * sysdeps/x86_64/fpu/multiarch/slowexp-avx.c: Likewise. * sysdeps/x86_64/fpu/multiarch/slowexp-fma.c: Likewise. * sysdeps/x86_64/fpu/multiarch/slowexp-fma4.c: Likewise. * sysdeps/generic/math_private.h (__slowexp): Remove prototype. * sysdeps/ieee754/dbl-64/e_pow.c: Remove mention of slowexp.c in comment. * sysdeps/powerpc/power4/fpu/Makefile [$(subdir) = math] (CPPFLAGS-slowexp.c): Remove variable. * sysdeps/x86_64/fpu/multiarch/Makefile (libm-sysdep_routines): Remove slowexp-fma, slowexp-fma4 and slowexp-avx. (CFLAGS-slowexp-fma.c): Remove variable. (CFLAGS-slowexp-fma4.c): Likewise. (CFLAGS-slowexp-avx.c): Likewise. * sysdeps/x86_64/fpu/multiarch/e_exp-avx.c (__slowexp): Do not define as macro. * sysdeps/x86_64/fpu/multiarch/e_exp-fma.c (__slowexp): Likewise. * sysdeps/x86_64/fpu/multiarch/e_exp-fma4.c (__slowexp): Likewise. * math/Makefile (type-double-routines): Remove slowexp. * manual/probes.texi (slowexp_p6): Remove. (slowexp_p32): Likewise.
394 lines
11 KiB
C
394 lines
11 KiB
C
/* EXP function - Compute double precision exponential */
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/*
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* IBM Accurate Mathematical Library
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* written by International Business Machines Corp.
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* Copyright (C) 2001-2017 Free Software Foundation, Inc.
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*
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* This program is free software; you can redistribute it and/or modify
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* it under the terms of the GNU Lesser General Public License as published by
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* the Free Software Foundation; either version 2.1 of the License, or
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* (at your option) any later version.
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*
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* This program 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 Lesser General Public License for more details.
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*
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* You should have received a copy of the GNU Lesser General Public License
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* along with this program; if not, see <http://www.gnu.org/licenses/>.
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*/
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/***************************************************************************/
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/* MODULE_NAME:uexp.c */
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/* */
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/* FUNCTION:uexp */
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/* exp1 */
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/* */
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/* FILES NEEDED:dla.h endian.h mpa.h mydefs.h uexp.h */
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/* mpa.c mpexp.x */
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/* */
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/* An ultimate exp routine. Given an IEEE double machine number x */
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/* it computes the correctly rounded (to nearest) value of e^x */
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/* Assumption: Machine arithmetic operations are performed in */
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/* round to nearest mode of IEEE 754 standard. */
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/* */
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/***************************************************************************/
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/* IBM exp(x) replaced by following exp(x) in 2017. IBM exp1(x,xx) remains. */
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/* exp(x)
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Hybrid algorithm of Peter Tang's Table driven method (for large
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arguments) and an accurate table (for small arguments).
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Written by K.C. Ng, November 1988.
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Revised by Patrick McGehearty, Nov 2017 to use j/64 instead of j/32
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Method (large arguments):
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1. Argument Reduction: given the input x, find r and integer k
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and j such that
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x = (k+j/64)*(ln2) + r, |r| <= (1/128)*ln2
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2. exp(x) = 2^k * (2^(j/64) + 2^(j/64)*expm1(r))
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a. expm1(r) is approximated by a polynomial:
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expm1(r) ~ r + t1*r^2 + t2*r^3 + ... + t5*r^6
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Here t1 = 1/2 exactly.
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b. 2^(j/64) is represented to twice double precision
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as TBL[2j]+TBL[2j+1].
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Note: If divide were fast enough, we could use another approximation
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in 2.a:
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expm1(r) ~ (2r)/(2-R), R = r - r^2*(t1 + t2*r^2)
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(for the same t1 and t2 as above)
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Special cases:
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exp(INF) is INF, exp(NaN) is NaN;
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exp(-INF)= 0;
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for finite argument, only exp(0)=1 is exact.
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Accuracy:
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According to an error analysis, the error is always less than
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an ulp (unit in the last place). The largest errors observed
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are less than 0.55 ulp for normal results and less than 0.75 ulp
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for subnormal results.
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Misc. info.
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For IEEE double
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if x > 7.09782712893383973096e+02 then exp(x) overflow
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if x < -7.45133219101941108420e+02 then exp(x) underflow. */
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#include <math.h>
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#include <math-svid-compat.h>
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#include <math_private.h>
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#include <errno.h>
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#include "endian.h"
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#include "uexp.h"
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#include "uexp.tbl"
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#include "mydefs.h"
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#include "MathLib.h"
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#include <fenv.h>
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#include <float.h>
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extern double __ieee754_exp (double);
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#include "eexp.tbl"
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static const double
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half = 0.5,
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one = 1.0;
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double
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__ieee754_exp (double x_arg)
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{
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double z, t;
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double retval;
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int hx, ix, k, j, m;
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int fe_val;
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union
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{
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int i_part[2];
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double x;
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} xx;
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union
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{
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int y_part[2];
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double y;
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} yy;
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xx.x = x_arg;
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ix = xx.i_part[HIGH_HALF];
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hx = ix & ~0x80000000;
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if (hx < 0x3ff0a2b2)
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{ /* |x| < 3/2 ln 2 */
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if (hx < 0x3f862e42)
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{ /* |x| < 1/64 ln 2 */
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if (hx < 0x3ed00000)
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{ /* |x| < 2^-18 */
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if (hx < 0x3e300000)
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{
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retval = one + xx.x;
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return retval;
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}
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retval = one + xx.x * (one + half * xx.x);
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return retval;
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}
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/* Use FE_TONEAREST rounding mode for computing yy.y.
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Avoid set/reset of rounding mode if in FE_TONEAREST mode. */
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fe_val = get_rounding_mode ();
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if (fe_val == FE_TONEAREST)
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{
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t = xx.x * xx.x;
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yy.y = xx.x + (t * (half + xx.x * t2)
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+ (t * t) * (t3 + xx.x * t4 + t * t5));
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retval = one + yy.y;
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}
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else
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{
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libc_fesetround (FE_TONEAREST);
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t = xx.x * xx.x;
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yy.y = xx.x + (t * (half + xx.x * t2)
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+ (t * t) * (t3 + xx.x * t4 + t * t5));
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retval = one + yy.y;
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libc_fesetround (fe_val);
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}
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return retval;
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}
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/* Find the multiple of 2^-6 nearest x. */
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k = hx >> 20;
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j = (0x00100000 | (hx & 0x000fffff)) >> (0x40c - k);
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j = (j - 1) & ~1;
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if (ix < 0)
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j += 134;
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/* Use FE_TONEAREST rounding mode for computing yy.y.
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Avoid set/reset of rounding mode if in FE_TONEAREST mode. */
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fe_val = get_rounding_mode ();
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if (fe_val == FE_TONEAREST)
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{
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z = xx.x - TBL2[j];
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t = z * z;
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yy.y = z + (t * (half + (z * t2))
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+ (t * t) * (t3 + z * t4 + t * t5));
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retval = TBL2[j + 1] + TBL2[j + 1] * yy.y;
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}
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else
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{
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libc_fesetround (FE_TONEAREST);
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z = xx.x - TBL2[j];
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t = z * z;
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yy.y = z + (t * (half + (z * t2))
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+ (t * t) * (t3 + z * t4 + t * t5));
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retval = TBL2[j + 1] + TBL2[j + 1] * yy.y;
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libc_fesetround (fe_val);
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}
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return retval;
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}
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if (hx >= 0x40862e42)
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{ /* x is large, infinite, or nan. */
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if (hx >= 0x7ff00000)
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{
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if (ix == 0xfff00000 && xx.i_part[LOW_HALF] == 0)
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return zero; /* exp(-inf) = 0. */
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return (xx.x * xx.x); /* exp(nan/inf) is nan or inf. */
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}
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if (xx.x > threshold1)
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{ /* Set overflow error condition. */
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retval = hhuge * hhuge;
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return retval;
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}
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if (-xx.x > threshold2)
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{ /* Set underflow error condition. */
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double force_underflow = tiny * tiny;
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math_force_eval (force_underflow);
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retval = force_underflow;
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return retval;
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}
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}
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/* Use FE_TONEAREST rounding mode for computing yy.y.
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Avoid set/reset of rounding mode if already in FE_TONEAREST mode. */
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fe_val = get_rounding_mode ();
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if (fe_val == FE_TONEAREST)
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{
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t = invln2_64 * xx.x;
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if (ix < 0)
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t -= half;
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else
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t += half;
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k = (int) t;
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j = (k & 0x3f) << 1;
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m = k >> 6;
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z = (xx.x - k * ln2_64hi) - k * ln2_64lo;
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/* z is now in primary range. */
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t = z * z;
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yy.y = z + (t * (half + z * t2) + (t * t) * (t3 + z * t4 + t * t5));
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yy.y = TBL[j] + (TBL[j + 1] + TBL[j] * yy.y);
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}
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else
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{
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libc_fesetround (FE_TONEAREST);
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t = invln2_64 * xx.x;
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if (ix < 0)
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t -= half;
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else
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t += half;
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k = (int) t;
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j = (k & 0x3f) << 1;
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m = k >> 6;
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z = (xx.x - k * ln2_64hi) - k * ln2_64lo;
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/* z is now in primary range. */
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t = z * z;
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yy.y = z + (t * (half + z * t2) + (t * t) * (t3 + z * t4 + t * t5));
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yy.y = TBL[j] + (TBL[j + 1] + TBL[j] * yy.y);
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libc_fesetround (fe_val);
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}
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if (m < -1021)
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{
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yy.y_part[HIGH_HALF] += (m + 54) << 20;
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retval = twom54 * yy.y;
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if (retval < DBL_MIN)
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{
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double force_underflow = tiny * tiny;
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math_force_eval (force_underflow);
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}
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return retval;
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}
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yy.y_part[HIGH_HALF] += m << 20;
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return yy.y;
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}
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#ifndef __ieee754_exp
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strong_alias (__ieee754_exp, __exp_finite)
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#endif
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#ifndef SECTION
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# define SECTION
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#endif
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/* Compute e^(x+xx). The routine also receives bound of error of previous
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calculation. If after computing exp the error exceeds the allowed bounds,
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the routine returns a non-positive number. Otherwise it returns the
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computed result, which is always positive. */
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double
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SECTION
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__exp1 (double x, double xx, double error)
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{
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double bexp, t, eps, del, base, y, al, bet, res, rem, cor;
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mynumber junk1, junk2, binexp = {{0, 0}};
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int4 i, j, m, n, ex;
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junk1.x = x;
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m = junk1.i[HIGH_HALF];
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n = m & hugeint; /* no sign */
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if (n > smallint && n < bigint)
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{
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y = x * log2e.x + three51.x;
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bexp = y - three51.x; /* multiply the result by 2**bexp */
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junk1.x = y;
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eps = bexp * ln_two2.x; /* x = bexp*ln(2) + t - eps */
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t = x - bexp * ln_two1.x;
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y = t + three33.x;
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base = y - three33.x; /* t rounded to a multiple of 2**-18 */
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junk2.x = y;
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del = (t - base) + (xx - eps); /* x = bexp*ln(2) + base + del */
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eps = del + del * del * (p3.x * del + p2.x);
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binexp.i[HIGH_HALF] = (junk1.i[LOW_HALF] + 1023) << 20;
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i = ((junk2.i[LOW_HALF] >> 8) & 0xfffffffe) + 356;
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j = (junk2.i[LOW_HALF] & 511) << 1;
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al = coar.x[i] * fine.x[j];
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bet = ((coar.x[i] * fine.x[j + 1] + coar.x[i + 1] * fine.x[j])
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+ coar.x[i + 1] * fine.x[j + 1]);
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rem = (bet + bet * eps) + al * eps;
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res = al + rem;
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cor = (al - res) + rem;
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if (res == (res + cor * (1.0 + error + err_1)))
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return res * binexp.x;
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else
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return -10.0;
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}
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if (n <= smallint)
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return 1.0; /* if x->0 e^x=1 */
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if (n >= badint)
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{
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if (n > infint)
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return (zero / zero); /* x is NaN, return invalid */
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if (n < infint)
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return ((x > 0) ? (hhuge * hhuge) : (tiny * tiny));
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/* x is finite, cause either overflow or underflow */
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if (junk1.i[LOW_HALF] != 0)
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return (zero / zero); /* x is NaN */
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return ((x > 0) ? inf.x : zero); /* |x| = inf; return either inf or 0 */
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}
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y = x * log2e.x + three51.x;
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bexp = y - three51.x;
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junk1.x = y;
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eps = bexp * ln_two2.x;
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t = x - bexp * ln_two1.x;
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y = t + three33.x;
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base = y - three33.x;
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junk2.x = y;
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del = (t - base) + (xx - eps);
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eps = del + del * del * (p3.x * del + p2.x);
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i = ((junk2.i[LOW_HALF] >> 8) & 0xfffffffe) + 356;
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j = (junk2.i[LOW_HALF] & 511) << 1;
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al = coar.x[i] * fine.x[j];
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bet = ((coar.x[i] * fine.x[j + 1] + coar.x[i + 1] * fine.x[j])
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+ coar.x[i + 1] * fine.x[j + 1]);
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rem = (bet + bet * eps) + al * eps;
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res = al + rem;
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cor = (al - res) + rem;
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if (m >> 31)
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{
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ex = junk1.i[LOW_HALF];
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if (res < 1.0)
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{
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res += res;
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cor += cor;
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ex -= 1;
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}
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if (ex >= -1022)
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{
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binexp.i[HIGH_HALF] = (1023 + ex) << 20;
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if (res == (res + cor * (1.0 + error + err_1)))
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return res * binexp.x;
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else
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return -10.0;
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}
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ex = -(1022 + ex);
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binexp.i[HIGH_HALF] = (1023 - ex) << 20;
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res *= binexp.x;
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cor *= binexp.x;
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eps = 1.00000000001 + (error + err_1) * binexp.x;
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t = 1.0 + res;
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y = ((1.0 - t) + res) + cor;
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res = t + y;
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cor = (t - res) + y;
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if (res == (res + eps * cor))
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{
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binexp.i[HIGH_HALF] = 0x00100000;
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return (res - 1.0) * binexp.x;
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}
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else
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return -10.0;
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}
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else
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{
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binexp.i[HIGH_HALF] = (junk1.i[LOW_HALF] + 767) << 20;
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if (res == (res + cor * (1.0 + error + err_1)))
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return res * binexp.x * t256.x;
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else
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return -10.0;
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}
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}
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