\[\frac{x + \frac{y \cdot z - x}{t \cdot z - x}}{x + 1}
\]
↓
\[\begin{array}{l}
t_1 := y \cdot z - x\\
t_2 := z \cdot t - x\\
t_3 := \frac{x + \frac{t_1}{t_2}}{x + 1}\\
\mathbf{if}\;t_3 \leq -\infty:\\
\;\;\;\;\frac{x + \frac{z}{\frac{t_2}{y}}}{x + 1}\\
\mathbf{elif}\;t_3 \leq 10^{+282}:\\
\;\;\;\;\frac{x + \frac{t_1}{\mathsf{fma}\left(z, t, -x\right)}}{x + 1}\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{x + 1} + \frac{y}{t + x \cdot t}\\
\end{array}
\]
(FPCore (x y z t)
:precision binary64
(/ (+ x (/ (- (* y z) x) (- (* t z) x))) (+ x 1.0)))
↓
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (* y z) x))
(t_2 (- (* z t) x))
(t_3 (/ (+ x (/ t_1 t_2)) (+ x 1.0))))
(if (<= t_3 (- INFINITY))
(/ (+ x (/ z (/ t_2 y))) (+ x 1.0))
(if (<= t_3 1e+282)
(/ (+ x (/ t_1 (fma z t (- x)))) (+ x 1.0))
(+ (/ x (+ x 1.0)) (/ y (+ t (* x t))))))))double code(double x, double y, double z, double t) {
return (x + (((y * z) - x) / ((t * z) - x))) / (x + 1.0);
}
↓
double code(double x, double y, double z, double t) {
double t_1 = (y * z) - x;
double t_2 = (z * t) - x;
double t_3 = (x + (t_1 / t_2)) / (x + 1.0);
double tmp;
if (t_3 <= -((double) INFINITY)) {
tmp = (x + (z / (t_2 / y))) / (x + 1.0);
} else if (t_3 <= 1e+282) {
tmp = (x + (t_1 / fma(z, t, -x))) / (x + 1.0);
} else {
tmp = (x / (x + 1.0)) + (y / (t + (x * t)));
}
return tmp;
}
function code(x, y, z, t)
return Float64(Float64(x + Float64(Float64(Float64(y * z) - x) / Float64(Float64(t * z) - x))) / Float64(x + 1.0))
end
↓
function code(x, y, z, t)
t_1 = Float64(Float64(y * z) - x)
t_2 = Float64(Float64(z * t) - x)
t_3 = Float64(Float64(x + Float64(t_1 / t_2)) / Float64(x + 1.0))
tmp = 0.0
if (t_3 <= Float64(-Inf))
tmp = Float64(Float64(x + Float64(z / Float64(t_2 / y))) / Float64(x + 1.0));
elseif (t_3 <= 1e+282)
tmp = Float64(Float64(x + Float64(t_1 / fma(z, t, Float64(-x)))) / Float64(x + 1.0));
else
tmp = Float64(Float64(x / Float64(x + 1.0)) + Float64(y / Float64(t + Float64(x * t))));
end
return tmp
end
code[x_, y_, z_, t_] := N[(N[(x + N[(N[(N[(y * z), $MachinePrecision] - x), $MachinePrecision] / N[(N[(t * z), $MachinePrecision] - x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x + 1.0), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(y * z), $MachinePrecision] - x), $MachinePrecision]}, Block[{t$95$2 = N[(N[(z * t), $MachinePrecision] - x), $MachinePrecision]}, Block[{t$95$3 = N[(N[(x + N[(t$95$1 / t$95$2), $MachinePrecision]), $MachinePrecision] / N[(x + 1.0), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$3, (-Infinity)], N[(N[(x + N[(z / N[(t$95$2 / y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x + 1.0), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$3, 1e+282], N[(N[(x + N[(t$95$1 / N[(z * t + (-x)), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(x + 1.0), $MachinePrecision]), $MachinePrecision], N[(N[(x / N[(x + 1.0), $MachinePrecision]), $MachinePrecision] + N[(y / N[(t + N[(x * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\frac{x + \frac{y \cdot z - x}{t \cdot z - x}}{x + 1}
↓
\begin{array}{l}
t_1 := y \cdot z - x\\
t_2 := z \cdot t - x\\
t_3 := \frac{x + \frac{t_1}{t_2}}{x + 1}\\
\mathbf{if}\;t_3 \leq -\infty:\\
\;\;\;\;\frac{x + \frac{z}{\frac{t_2}{y}}}{x + 1}\\
\mathbf{elif}\;t_3 \leq 10^{+282}:\\
\;\;\;\;\frac{x + \frac{t_1}{\mathsf{fma}\left(z, t, -x\right)}}{x + 1}\\
\mathbf{else}:\\
\;\;\;\;\frac{x}{x + 1} + \frac{y}{t + x \cdot t}\\
\end{array}
