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diff --git a/lib/mlibc/options/ansi/musl-generic-math/cbrt.c b/lib/mlibc/options/ansi/musl-generic-math/cbrt.c
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+/* origin: FreeBSD /usr/src/lib/msun/src/s_cbrt.c */
+/*
+ * ====================================================
+ * Copyright (C) 1993 by Sun Microsystems, Inc. All rights reserved.
+ *
+ * Developed at SunPro, a Sun Microsystems, Inc. business.
+ * Permission to use, copy, modify, and distribute this
+ * software is freely granted, provided that this notice
+ * is preserved.
+ * ====================================================
+ *
+ * Optimized by Bruce D. Evans.
+ */
+/* cbrt(x)
+ * Return cube root of x
+ */
+
+#include <math.h>
+#include <stdint.h>
+
+static const uint32_t
+B1 = 715094163, /* B1 = (1023-1023/3-0.03306235651)*2**20 */
+B2 = 696219795; /* B2 = (1023-1023/3-54/3-0.03306235651)*2**20 */
+
+/* |1/cbrt(x) - p(x)| < 2**-23.5 (~[-7.93e-8, 7.929e-8]). */
+static const double
+P0 = 1.87595182427177009643, /* 0x3ffe03e6, 0x0f61e692 */
+P1 = -1.88497979543377169875, /* 0xbffe28e0, 0x92f02420 */
+P2 = 1.621429720105354466140, /* 0x3ff9f160, 0x4a49d6c2 */
+P3 = -0.758397934778766047437, /* 0xbfe844cb, 0xbee751d9 */
+P4 = 0.145996192886612446982; /* 0x3fc2b000, 0xd4e4edd7 */
+
+double cbrt(double x)
+{
+ union {double f; uint64_t i;} u = {x};
+ double_t r,s,t,w;
+ uint32_t hx = u.i>>32 & 0x7fffffff;
+
+ if (hx >= 0x7ff00000) /* cbrt(NaN,INF) is itself */
+ return x+x;
+
+ /*
+ * Rough cbrt to 5 bits:
+ * cbrt(2**e*(1+m) ~= 2**(e/3)*(1+(e%3+m)/3)
+ * where e is integral and >= 0, m is real and in [0, 1), and "/" and
+ * "%" are integer division and modulus with rounding towards minus
+ * infinity. The RHS is always >= the LHS and has a maximum relative
+ * error of about 1 in 16. Adding a bias of -0.03306235651 to the
+ * (e%3+m)/3 term reduces the error to about 1 in 32. With the IEEE
+ * floating point representation, for finite positive normal values,
+ * ordinary integer divison of the value in bits magically gives
+ * almost exactly the RHS of the above provided we first subtract the
+ * exponent bias (1023 for doubles) and later add it back. We do the
+ * subtraction virtually to keep e >= 0 so that ordinary integer
+ * division rounds towards minus infinity; this is also efficient.
+ */
+ if (hx < 0x00100000) { /* zero or subnormal? */
+ u.f = x*0x1p54;
+ hx = u.i>>32 & 0x7fffffff;
+ if (hx == 0)
+ return x; /* cbrt(0) is itself */
+ hx = hx/3 + B2;
+ } else
+ hx = hx/3 + B1;
+ u.i &= 1ULL<<63;
+ u.i |= (uint64_t)hx << 32;
+ t = u.f;
+
+ /*
+ * New cbrt to 23 bits:
+ * cbrt(x) = t*cbrt(x/t**3) ~= t*P(t**3/x)
+ * where P(r) is a polynomial of degree 4 that approximates 1/cbrt(r)
+ * to within 2**-23.5 when |r - 1| < 1/10. The rough approximation
+ * has produced t such than |t/cbrt(x) - 1| ~< 1/32, and cubing this
+ * gives us bounds for r = t**3/x.
+ *
+ * Try to optimize for parallel evaluation as in __tanf.c.
+ */
+ r = (t*t)*(t/x);
+ t = t*((P0+r*(P1+r*P2))+((r*r)*r)*(P3+r*P4));
+
+ /*
+ * Round t away from zero to 23 bits (sloppily except for ensuring that
+ * the result is larger in magnitude than cbrt(x) but not much more than
+ * 2 23-bit ulps larger). With rounding towards zero, the error bound
+ * would be ~5/6 instead of ~4/6. With a maximum error of 2 23-bit ulps
+ * in the rounded t, the infinite-precision error in the Newton
+ * approximation barely affects third digit in the final error
+ * 0.667; the error in the rounded t can be up to about 3 23-bit ulps
+ * before the final error is larger than 0.667 ulps.
+ */
+ u.f = t;
+ u.i = (u.i + 0x80000000) & 0xffffffffc0000000ULL;
+ t = u.f;
+
+ /* one step Newton iteration to 53 bits with error < 0.667 ulps */
+ s = t*t; /* t*t is exact */
+ r = x/s; /* error <= 0.5 ulps; |r| < |t| */
+ w = t+t; /* t+t is exact */
+ r = (r-t)/(w+r); /* r-t is exact; w+r ~= 3*t */
+ t = t+t*r; /* error <= 0.5 + 0.5/3 + epsilon */
+ return t;
+}