Average Error: 1.9 → 1.1
Time: 5.5s
Precision: binary64
\[\left(\left(x + y \cdot z\right) + t \cdot a\right) + \left(a \cdot z\right) \cdot b \]
\[\begin{array}{l} t_1 := \mathsf{fma}\left(a, \mathsf{fma}\left(b, z, t\right), \mathsf{fma}\left(z, y, x\right)\right)\\ \mathbf{if}\;a \leq -1 \cdot 10^{+85}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq 4.114469370704276 \cdot 10^{-218}:\\ \;\;\;\;a \cdot t + \left(x + z \cdot \left(y + a \cdot b\right)\right)\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
(FPCore (x y z t a b)
 :precision binary64
 (+ (+ (+ x (* y z)) (* t a)) (* (* a z) b)))
(FPCore (x y z t a b)
 :precision binary64
 (let* ((t_1 (fma a (fma b z t) (fma z y x))))
   (if (<= a -1e+85)
     t_1
     (if (<= a 4.114469370704276e-218)
       (+ (* a t) (+ x (* z (+ y (* a b)))))
       t_1))))
double code(double x, double y, double z, double t, double a, double b) {
	return ((x + (y * z)) + (t * a)) + ((a * z) * b);
}
double code(double x, double y, double z, double t, double a, double b) {
	double t_1 = fma(a, fma(b, z, t), fma(z, y, x));
	double tmp;
	if (a <= -1e+85) {
		tmp = t_1;
	} else if (a <= 4.114469370704276e-218) {
		tmp = (a * t) + (x + (z * (y + (a * b))));
	} else {
		tmp = t_1;
	}
	return tmp;
}
function code(x, y, z, t, a, b)
	return Float64(Float64(Float64(x + Float64(y * z)) + Float64(t * a)) + Float64(Float64(a * z) * b))
end
function code(x, y, z, t, a, b)
	t_1 = fma(a, fma(b, z, t), fma(z, y, x))
	tmp = 0.0
	if (a <= -1e+85)
		tmp = t_1;
	elseif (a <= 4.114469370704276e-218)
		tmp = Float64(Float64(a * t) + Float64(x + Float64(z * Float64(y + Float64(a * b)))));
	else
		tmp = t_1;
	end
	return tmp
end
code[x_, y_, z_, t_, a_, b_] := N[(N[(N[(x + N[(y * z), $MachinePrecision]), $MachinePrecision] + N[(t * a), $MachinePrecision]), $MachinePrecision] + N[(N[(a * z), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision]
code[x_, y_, z_, t_, a_, b_] := Block[{t$95$1 = N[(a * N[(b * z + t), $MachinePrecision] + N[(z * y + x), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[a, -1e+85], t$95$1, If[LessEqual[a, 4.114469370704276e-218], N[(N[(a * t), $MachinePrecision] + N[(x + N[(z * N[(y + N[(a * b), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]
\left(\left(x + y \cdot z\right) + t \cdot a\right) + \left(a \cdot z\right) \cdot b
\begin{array}{l}
t_1 := \mathsf{fma}\left(a, \mathsf{fma}\left(b, z, t\right), \mathsf{fma}\left(z, y, x\right)\right)\\
\mathbf{if}\;a \leq -1 \cdot 10^{+85}:\\
\;\;\;\;t_1\\

\mathbf{elif}\;a \leq 4.114469370704276 \cdot 10^{-218}:\\
\;\;\;\;a \cdot t + \left(x + z \cdot \left(y + a \cdot b\right)\right)\\

\mathbf{else}:\\
\;\;\;\;t_1\\


\end{array}

Error

Target

Original1.9
Target0.2
Herbie1.1
\[\begin{array}{l} \mathbf{if}\;z < -11820553527347888000:\\ \;\;\;\;z \cdot \left(b \cdot a + y\right) + \left(x + t \cdot a\right)\\ \mathbf{elif}\;z < 4.7589743188364287 \cdot 10^{-122}:\\ \;\;\;\;\left(b \cdot z + t\right) \cdot a + \left(z \cdot y + x\right)\\ \mathbf{else}:\\ \;\;\;\;z \cdot \left(b \cdot a + y\right) + \left(x + t \cdot a\right)\\ \end{array} \]

Derivation

  1. Split input into 2 regimes
  2. if a < -1e85 or 4.11446937070427588e-218 < a

    1. Initial program 3.2

      \[\left(\left(x + y \cdot z\right) + t \cdot a\right) + \left(a \cdot z\right) \cdot b \]
    2. Simplified1.8

      \[\leadsto \color{blue}{\mathsf{fma}\left(y, z, \mathsf{fma}\left(a, \mathsf{fma}\left(z, b, t\right), x\right)\right)} \]
    3. Taylor expanded in y around 0 1.8

      \[\leadsto \color{blue}{y \cdot z + \left(a \cdot \left(z \cdot b + t\right) + x\right)} \]
    4. Simplified1.8

      \[\leadsto \color{blue}{\mathsf{fma}\left(a, \mathsf{fma}\left(b, z, t\right), \mathsf{fma}\left(z, y, x\right)\right)} \]

    if -1e85 < a < 4.11446937070427588e-218

    1. Initial program 0.6

      \[\left(\left(x + y \cdot z\right) + t \cdot a\right) + \left(a \cdot z\right) \cdot b \]
    2. Simplified3.8

      \[\leadsto \color{blue}{\mathsf{fma}\left(y, z, \mathsf{fma}\left(a, \mathsf{fma}\left(z, b, t\right), x\right)\right)} \]
    3. Taylor expanded in z around inf 0.5

      \[\leadsto \color{blue}{a \cdot t + \left(z \cdot \left(a \cdot b + y\right) + x\right)} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification1.1

    \[\leadsto \begin{array}{l} \mathbf{if}\;a \leq -1 \cdot 10^{+85}:\\ \;\;\;\;\mathsf{fma}\left(a, \mathsf{fma}\left(b, z, t\right), \mathsf{fma}\left(z, y, x\right)\right)\\ \mathbf{elif}\;a \leq 4.114469370704276 \cdot 10^{-218}:\\ \;\;\;\;a \cdot t + \left(x + z \cdot \left(y + a \cdot b\right)\right)\\ \mathbf{else}:\\ \;\;\;\;\mathsf{fma}\left(a, \mathsf{fma}\left(b, z, t\right), \mathsf{fma}\left(z, y, x\right)\right)\\ \end{array} \]

Reproduce

herbie shell --seed 2022209 
(FPCore (x y z t a b)
  :name "Graphics.Rasterific.CubicBezier:cachedBezierAt from Rasterific-0.6.1"
  :precision binary64

  :herbie-target
  (if (< z -11820553527347888000.0) (+ (* z (+ (* b a) y)) (+ x (* t a))) (if (< z 4.7589743188364287e-122) (+ (* (+ (* b z) t) a) (+ (* z y) x)) (+ (* z (+ (* b a) y)) (+ x (* t a)))))

  (+ (+ (+ x (* y z)) (* t a)) (* (* a z) b)))