[fusl] clang-format fusl

fusl/src/math/__tandf.c

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