\[\frac{x \cdot y + z \cdot \left(t - a\right)}{y + z \cdot \left(b - y\right)}
\]
↓
\[\begin{array}{l}
t_1 := \frac{x \cdot y + z \cdot \left(t - a\right)}{y + z \cdot \left(b - y\right)}\\
\mathbf{if}\;t_1 \leq -5 \cdot 10^{-243}:\\
\;\;\;\;\frac{\left(t - a\right) \cdot z}{y + \left(b - y\right) \cdot z} + x \cdot \frac{y}{\mathsf{fma}\left(b - y, z, y\right)}\\
\mathbf{elif}\;t_1 \leq 0:\\
\;\;\;\;\frac{\frac{y \cdot x}{b - y} + \frac{y \cdot \left(a - t\right)}{{\left(b - y\right)}^{2}}}{z} + \left(\frac{t}{b - y} - \frac{a}{b - y}\right)\\
\mathbf{elif}\;t_1 \leq 5 \cdot 10^{+280}:\\
\;\;\;\;\frac{\mathsf{fma}\left(z, t - a, x \cdot y\right)}{\mathsf{fma}\left(z, b - y, y\right)}\\
\mathbf{else}:\\
\;\;\;\;\left(-\frac{t - a}{z - 1} \cdot \frac{z}{y}\right) + \frac{x}{\left(-z\right) + 1}\\
\end{array}
\]
double code(double x, double y, double z, double t, double a, double b) {
return ((x * y) + (z * (t - a))) / (y + (z * (b - y)));
}
↓
double code(double x, double y, double z, double t, double a, double b) {
double t_1 = ((x * y) + (z * (t - a))) / (y + (z * (b - y)));
double tmp;
if (t_1 <= -5e-243) {
tmp = (((t - a) * z) / (y + ((b - y) * z))) + (x * (y / fma((b - y), z, y)));
} else if (t_1 <= 0.0) {
tmp = ((((y * x) / (b - y)) + ((y * (a - t)) / pow((b - y), 2.0))) / z) + ((t / (b - y)) - (a / (b - y)));
} else if (t_1 <= 5e+280) {
tmp = fma(z, (t - a), (x * y)) / fma(z, (b - y), y);
} else {
tmp = -(((t - a) / (z - 1.0)) * (z / y)) + (x / (-z + 1.0));
}
return tmp;
}
function code(x, y, z, t, a, b)
return Float64(Float64(Float64(x * y) + Float64(z * Float64(t - a))) / Float64(y + Float64(z * Float64(b - y))))
end
↓
function code(x, y, z, t, a, b)
t_1 = Float64(Float64(Float64(x * y) + Float64(z * Float64(t - a))) / Float64(y + Float64(z * Float64(b - y))))
tmp = 0.0
if (t_1 <= -5e-243)
tmp = Float64(Float64(Float64(Float64(t - a) * z) / Float64(y + Float64(Float64(b - y) * z))) + Float64(x * Float64(y / fma(Float64(b - y), z, y))));
elseif (t_1 <= 0.0)
tmp = Float64(Float64(Float64(Float64(Float64(y * x) / Float64(b - y)) + Float64(Float64(y * Float64(a - t)) / (Float64(b - y) ^ 2.0))) / z) + Float64(Float64(t / Float64(b - y)) - Float64(a / Float64(b - y))));
elseif (t_1 <= 5e+280)
tmp = Float64(fma(z, Float64(t - a), Float64(x * y)) / fma(z, Float64(b - y), y));
else
tmp = Float64(Float64(-Float64(Float64(Float64(t - a) / Float64(z - 1.0)) * Float64(z / y))) + Float64(x / Float64(Float64(-z) + 1.0)));
end
return tmp
end
code[x_, y_, z_, t_, a_, b_] := N[(N[(N[(x * y), $MachinePrecision] + N[(z * N[(t - a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(y + N[(z * N[(b - y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_, a_, b_] := Block[{t$95$1 = N[(N[(N[(x * y), $MachinePrecision] + N[(z * N[(t - a), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(y + N[(z * N[(b - y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$1, -5e-243], N[(N[(N[(N[(t - a), $MachinePrecision] * z), $MachinePrecision] / N[(y + N[(N[(b - y), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(x * N[(y / N[(N[(b - y), $MachinePrecision] * z + y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 0.0], N[(N[(N[(N[(N[(y * x), $MachinePrecision] / N[(b - y), $MachinePrecision]), $MachinePrecision] + N[(N[(y * N[(a - t), $MachinePrecision]), $MachinePrecision] / N[Power[N[(b - y), $MachinePrecision], 2.0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / z), $MachinePrecision] + N[(N[(t / N[(b - y), $MachinePrecision]), $MachinePrecision] - N[(a / N[(b - y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$1, 5e+280], N[(N[(z * N[(t - a), $MachinePrecision] + N[(x * y), $MachinePrecision]), $MachinePrecision] / N[(z * N[(b - y), $MachinePrecision] + y), $MachinePrecision]), $MachinePrecision], N[((-N[(N[(N[(t - a), $MachinePrecision] / N[(z - 1.0), $MachinePrecision]), $MachinePrecision] * N[(z / y), $MachinePrecision]), $MachinePrecision]) + N[(x / N[((-z) + 1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\frac{x \cdot y + z \cdot \left(t - a\right)}{y + z \cdot \left(b - y\right)}
↓
\begin{array}{l}
t_1 := \frac{x \cdot y + z \cdot \left(t - a\right)}{y + z \cdot \left(b - y\right)}\\
\mathbf{if}\;t_1 \leq -5 \cdot 10^{-243}:\\
\;\;\;\;\frac{\left(t - a\right) \cdot z}{y + \left(b - y\right) \cdot z} + x \cdot \frac{y}{\mathsf{fma}\left(b - y, z, y\right)}\\
\mathbf{elif}\;t_1 \leq 0:\\
\;\;\;\;\frac{\frac{y \cdot x}{b - y} + \frac{y \cdot \left(a - t\right)}{{\left(b - y\right)}^{2}}}{z} + \left(\frac{t}{b - y} - \frac{a}{b - y}\right)\\
\mathbf{elif}\;t_1 \leq 5 \cdot 10^{+280}:\\
\;\;\;\;\frac{\mathsf{fma}\left(z, t - a, x \cdot y\right)}{\mathsf{fma}\left(z, b - y, y\right)}\\
\mathbf{else}:\\
\;\;\;\;\left(-\frac{t - a}{z - 1} \cdot \frac{z}{y}\right) + \frac{x}{\left(-z\right) + 1}\\
\end{array}