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- Remove `[?]` syntax. - Change `int!` to `int?` syntax. - New `fault` declarations. - Enum associated values can reference the calling enum.
53 lines
2.0 KiB
Plaintext
53 lines
2.0 KiB
Plaintext
module std::math::nolibc @if(env::NO_LIBC || $feature(C3_MATH));
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/* origin: FreeBSD /usr/src/lib/msun/src/k_tanf.c */
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/*
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* Conversion to float by Ian Lance Taylor, Cygnus Support, ian@cygnus.com.
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* Optimized by Bruce D. Evans.
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*/
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/*
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* ====================================================
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* Copyright 2004 Sun Microsystems, Inc. All Rights Reserved.
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*
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* Permission to use, copy, modify, and distribute this
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* software is freely granted, provided that this notice
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* is preserved.
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* ====================================================
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*/
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// |tan(x)/x - t(x)| < 2**-25.5 (~[-2e-08, 2e-08]).
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const double[*] TANDF = {
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0x15554d3418c99f.0p-54, /* 0.333331395030791399758 */
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0x1112fd38999f72.0p-55, /* 0.133392002712976742718 */
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0x1b54c91d865afe.0p-57, /* 0.0533812378445670393523 */
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0x191df3908c33ce.0p-58, /* 0.0245283181166547278873 */
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0x185dadfcecf44e.0p-61, /* 0.00297435743359967304927 */
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0x1362b9bf971bcd.0p-59, /* 0.00946564784943673166728 */
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};
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fn float __tandf(double x, int odd) @extern("__tandf") @weak @nostrip
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{
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double z = x * x;
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/*
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* Split up the polynomial into small independent terms to give
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* opportunities for parallel evaluation. The chosen splitting is
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* micro-optimized for Athlons (XP, X64). It costs 2 multiplications
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* relative to Horner's method on sequential machines.
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*
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* We add the small terms from lowest degree up for efficiency on
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* non-sequential machines (the lowest degree terms tend to be ready
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* earlier). Apart from this, we don't care about order of
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* operations, and don't need to to care since we have precision to
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* spare. However, the chosen splitting is good for accuracy too,
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* and would give results as accurate as Horner's method if the
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* small terms were added from highest degree down.
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*/
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double r = TANDF[4] + z * TANDF[5];
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double t = TANDF[2] + z * TANDF[3];
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double w = z * z;
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double s = z * x;
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double u = TANDF[0] + z * TANDF[1];
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r = (x + s * u) + (s * w) * (t + w * r);
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return (float)(odd ? -1.0 / r : r);
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}
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