Math FPCore C Java Python Julia MATLAB Wolfram TeX \[\frac{x \cdot \left(y - z\right)}{y}
\]
↓
\[\begin{array}{l}
t_0 := \frac{x \cdot \left(y - z\right)}{y}\\
\mathbf{if}\;t_0 \leq -\infty:\\
\;\;\;\;\frac{x}{y} \cdot \left(y - z\right)\\
\mathbf{elif}\;t_0 \leq -4 \cdot 10^{+158}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;\left(1 - \frac{z}{y}\right) \cdot x\\
\end{array}
\]
(FPCore (x y z) :precision binary64 (/ (* x (- y z)) y)) ↓
(FPCore (x y z)
:precision binary64
(let* ((t_0 (/ (* x (- y z)) y)))
(if (<= t_0 (- INFINITY))
(* (/ x y) (- y z))
(if (<= t_0 -4e+158) t_0 (* (- 1.0 (/ z y)) x))))) double code(double x, double y, double z) {
return (x * (y - z)) / y;
}
↓
double code(double x, double y, double z) {
double t_0 = (x * (y - z)) / y;
double tmp;
if (t_0 <= -((double) INFINITY)) {
tmp = (x / y) * (y - z);
} else if (t_0 <= -4e+158) {
tmp = t_0;
} else {
tmp = (1.0 - (z / y)) * x;
}
return tmp;
}
public static double code(double x, double y, double z) {
return (x * (y - z)) / y;
}
↓
public static double code(double x, double y, double z) {
double t_0 = (x * (y - z)) / y;
double tmp;
if (t_0 <= -Double.POSITIVE_INFINITY) {
tmp = (x / y) * (y - z);
} else if (t_0 <= -4e+158) {
tmp = t_0;
} else {
tmp = (1.0 - (z / y)) * x;
}
return tmp;
}
def code(x, y, z):
return (x * (y - z)) / y
↓
def code(x, y, z):
t_0 = (x * (y - z)) / y
tmp = 0
if t_0 <= -math.inf:
tmp = (x / y) * (y - z)
elif t_0 <= -4e+158:
tmp = t_0
else:
tmp = (1.0 - (z / y)) * x
return tmp
function code(x, y, z)
return Float64(Float64(x * Float64(y - z)) / y)
end
↓
function code(x, y, z)
t_0 = Float64(Float64(x * Float64(y - z)) / y)
tmp = 0.0
if (t_0 <= Float64(-Inf))
tmp = Float64(Float64(x / y) * Float64(y - z));
elseif (t_0 <= -4e+158)
tmp = t_0;
else
tmp = Float64(Float64(1.0 - Float64(z / y)) * x);
end
return tmp
end
function tmp = code(x, y, z)
tmp = (x * (y - z)) / y;
end
↓
function tmp_2 = code(x, y, z)
t_0 = (x * (y - z)) / y;
tmp = 0.0;
if (t_0 <= -Inf)
tmp = (x / y) * (y - z);
elseif (t_0 <= -4e+158)
tmp = t_0;
else
tmp = (1.0 - (z / y)) * x;
end
tmp_2 = tmp;
end
code[x_, y_, z_] := N[(N[(x * N[(y - z), $MachinePrecision]), $MachinePrecision] / y), $MachinePrecision]
↓
code[x_, y_, z_] := Block[{t$95$0 = N[(N[(x * N[(y - z), $MachinePrecision]), $MachinePrecision] / y), $MachinePrecision]}, If[LessEqual[t$95$0, (-Infinity)], N[(N[(x / y), $MachinePrecision] * N[(y - z), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$0, -4e+158], t$95$0, N[(N[(1.0 - N[(z / y), $MachinePrecision]), $MachinePrecision] * x), $MachinePrecision]]]]
\frac{x \cdot \left(y - z\right)}{y}
↓
\begin{array}{l}
t_0 := \frac{x \cdot \left(y - z\right)}{y}\\
\mathbf{if}\;t_0 \leq -\infty:\\
\;\;\;\;\frac{x}{y} \cdot \left(y - z\right)\\
\mathbf{elif}\;t_0 \leq -4 \cdot 10^{+158}:\\
\;\;\;\;t_0\\
\mathbf{else}:\\
\;\;\;\;\left(1 - \frac{z}{y}\right) \cdot x\\
\end{array}