Implement Math.log1p using port from fdlibm.

third_party/fdlibm/fdlibm.js

Index: third_party/fdlibm/fdlibm.js
diff --git a/third_party/fdlibm/fdlibm.js b/third_party/fdlibm/fdlibm.js
index d5dbb72990a5adecafd3697393ca86928ba31970..a55b7c70c8a0f11e4a8721f52a6a78ca65ad8147 100644
--- a/third_party/fdlibm/fdlibm.js
+++ b/third_party/fdlibm/fdlibm.js
@@ -13,21 +13,21 @@
 // modified significantly by Google Inc.
 // Copyright 2014 the V8 project authors. All rights reserved.
 //
-// The following is a straightforward translation of fdlibm routines for
-// sin, cos, and tan, by Raymond Toy (rtoy@google.com).
+// The following is a straightforward translation of fdlibm routines
+// by Raymond Toy (rtoy@google.com).
 
 
-var kTrig;  // Initialized to a Float64Array during genesis and is not writable.
+var kMath;  // Initialized to a Float64Array during genesis and is not writable.
 
-const INVPIO2 = kTrig[0];
-const PIO2_1  = kTrig[1];
-const PIO2_1T = kTrig[2];
-const PIO2_2  = kTrig[3];
-const PIO2_2T = kTrig[4];
-const PIO2_3  = kTrig[5];
-const PIO2_3T = kTrig[6];
-const PIO4    = kTrig[32];
-const PIO4LO  = kTrig[33];
+const INVPIO2 = kMath[0];
+const PIO2_1  = kMath[1];
+const PIO2_1T = kMath[2];
+const PIO2_2  = kMath[3];
+const PIO2_2T = kMath[4];
+const PIO2_3  = kMath[5];
+const PIO2_3T = kMath[6];
+const PIO4    = kMath[32];
+const PIO4LO  = kMath[33];
 
 // Compute k and r such that x - k*pi/2 = r where |r| < pi/4. For
 // precision, r is returned as two values y0 and y1 such that r = y0 + y1
@@ -133,7 +133,7 @@ endmacro
 //          sin(x) = X + (S1*X + (X *(r-Y/2)+Y))
 //
 macro KSIN(x)
-kTrig[7+x]
+kMath[7+x]
 endmacro
 
 macro RETURN_KERNELSIN(X, Y, SIGN)
@@ -177,7 +177,7 @@ endmacro
 //     thus, reducing the rounding error in the subtraction.
 //
 macro KCOS(x)
-kTrig[13+x]
+kMath[13+x]
 endmacro
 
 macro RETURN_KERNELCOS(X, Y, SIGN)
@@ -199,6 +199,7 @@ macro RETURN_KERNELCOS(X, Y, SIGN)
   }
 endmacro
 
+
 // kernel tan function on [-pi/4, pi/4], pi/4 ~ 0.7854
 // Input x is assumed to be bounded by ~pi/4 in magnitude.
 // Input y is the tail of x.
@@ -235,7 +236,7 @@ endmacro
 // and will cause incorrect results.
 //
 macro KTAN(x)
-kTrig[19+x]
+kMath[19+x]
 endmacro
 
 function KernelTan(x, y, returnTan) {
@@ -354,3 +355,164 @@ function MathTan(x) {
   REMPIO2(x);
   return KernelTan(y0, y1, (n & 1) ? -1 : 1);
 }
+
+// ES6 draft 09-27-13, section 20.2.2.20.
+// Math.log1p
+//
+// Method :                  
+//   1. Argument Reduction: find k and f such that 
+//                      1+x = 2^k * (1+f), 
+//         where  sqrt(2)/2 < 1+f < sqrt(2) .
+//
+//      Note. If k=0, then f=x is exact. However, if k!=0, then f
+//      may not be representable exactly. In that case, a correction
+//      term is need. Let u=1+x rounded. Let c = (1+x)-u, then
+//      log(1+x) - log(u) ~ c/u. Thus, we proceed to compute log(u),
+//      and add back the correction term c/u.
+//      (Note: when x > 2**53, one can simply return log(x))
+//
+//   2. Approximation of log1p(f).
+//      Let s = f/(2+f) ; based on log(1+f) = log(1+s) - log(1-s)
+//            = 2s + 2/3 s**3 + 2/5 s**5 + .....,
+//            = 2s + s*R
+//      We use a special Reme algorithm on [0,0.1716] to generate 
+//      a polynomial of degree 14 to approximate R The maximum error 
+//      of this polynomial approximation is bounded by 2**-58.45. In
+//      other words,
+//                      2      4      6      8      10      12      14
+//          R(z) ~ Lp1*s +Lp2*s +Lp3*s +Lp4*s +Lp5*s  +Lp6*s  +Lp7*s
+//      (the values of Lp1 to Lp7 are listed in the program)
+//      and
+//          |      2          14          |     -58.45
+//          | Lp1*s +...+Lp7*s    -  R(z) | <= 2 
+//          |                             |
+//      Note that 2s = f - s*f = f - hfsq + s*hfsq, where hfsq = f*f/2.
+//      In order to guarantee error in log below 1ulp, we compute log
+//      by
+//              log1p(f) = f - (hfsq - s*(hfsq+R)).
+//
+//      3. Finally, log1p(x) = k*ln2 + log1p(f).  
+//                           = k*ln2_hi+(f-(hfsq-(s*(hfsq+R)+k*ln2_lo)))
+//         Here ln2 is split into two floating point number: 
+//                      ln2_hi + ln2_lo,
+//         where n*ln2_hi is always exact for |n| < 2000.
+//
+// Special cases:
+//      log1p(x) is NaN with signal if x < -1 (including -INF) ; 
+//      log1p(+INF) is +INF; log1p(-1) is -INF with signal;
+//      log1p(NaN) is that NaN with no signal.
+//
+// Accuracy:
+//      according to an error analysis, the error is always less than
+//      1 ulp (unit in the last place).
+//
+// Constants:
+// The hexadecimal values are the intended ones for the following 
+// constants. The decimal values may be used, provided that the 
+// compiler will convert from decimal to binary accurately enough 
+// to produce the hexadecimal values shown.
+//
+// Note: Assuming log() return accurate answer, the following
+//       algorithm can be used to compute log1p(x) to within a few ULP:
+//
+//              u = 1+x;
+//              if (u==1.0) return x ; else
+//                          return log(u)*(x/(u-1.0));
+//
+//       See HP-15C Advanced Functions Handbook, p.193.
+//
+const LN2_HI    = kMath[34];
+const LN2_LO    = kMath[35];
+const TWO54     = kMath[36];
+const TWO_THIRD = kMath[37];
+macro KLOGP1(x)
+(kMath[38+x])
+endmacro
+
+function MathLog1p(x) {
+  x = x * 1;  // Convert to number.
+  var hx = %_DoubleHi(x);
+  var ax = hx & 0x7fffffff;
+  var k = 1;
+  var f = x;
+  var hu = 1;
+  var c = 0;
+  var u = x;
+
+  if (hx < 0x3fda827a) {
+    // x < 0.41422
+    if (ax >= 0x3ff00000) {  // |x| >= 1
+      if (x === -1) {
+        return -INFINITY;  // log1p(-1) = -inf
+      } else {
+        return NAN;  // log1p(x<-1) = NaN
+      }
+    } else if (ax < 0x3c900000)  {
+      // For |x| < 2^-54 we can return x.
+      return x;
+    } else if (ax < 0x3e200000) {
+      // For |x| < 2^-29 we can use a simple two-term Taylor series.
+      return x - x * x * 0.5;
+    }
+
+    if ((hx > 0) || (hx <= -0x402D413D)) {  // (int) 0xbfd2bec3 = -0x402d413d
+      // -.2929 < x < 0.41422
+      k = 0;
+    }
+  }
+
+  // Handle Infinity and NAN
+  if (hx >= 0x7ff00000) return x;
+
+  if (k !== 0) {
+    if (hx < 0x43400000) {
+      // x < 2^53
+      u = 1 + x;
+      hu = %_DoubleHi(u);
+      k = (hu >> 20) - 1023;
+      c = (k > 0) ? 1 - (u - x) : x - (u - 1);
+      c = c / u;
+    } else {
+      hu = %_DoubleHi(u);
+      k = (hu >> 20) - 1023;
+    }
+    hu = hu & 0xfffff;
+    if (hu < 0x6a09e) {
+      u = %_ConstructDouble(hu | 0x3ff00000, %_DoubleLo(u));  // Normalize u.
+    } else {
+      ++k;
+      u = %_ConstructDouble(hu | 0x3fe00000, %_DoubleLo(u));  // Normalize u/2.
+      hu = (0x00100000 - hu) >> 2;
+    }
+    f = u - 1;
+  }
+
+  var hfsq = 0.5 * f * f;
+  if (hu === 0) {
+    // |f| < 2^-20;
+    if (f === 0) {
+      if (k === 0) {
+        return 0.0;
+      } else {
+        return k * LN2_HI + (c + k * LN2_LO);
+      }
+    }
+    var R = hfsq * (1 - TWO_THIRD * f);
+    if (k === 0) {
+      return f - R;
+    } else {
+      return k * LN2_HI - ((R - (k * LN2_LO + c)) - f);
+    }
+  }
+
+  var s = f / (2 + f); 
+  var z = s * s;
+  var R = z * (KLOGP1(0) + z * (KLOGP1(1) + z *
+              (KLOGP1(2) + z * (KLOGP1(3) + z *
+              (KLOGP1(4) + z * (KLOGP1(5) + z * KLOGP1(6)))))));
+  if (k === 0) {
+    return f - (hfsq - s * (hfsq + R));
+  } else {
+    return k * LN2_HI - ((hfsq - (s * (hfsq + R) + (k * LN2_LO + c))) - f);
+  }
+}