
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (log (sqrt (+ (* x.re x.re) (* x.im x.im))))))
(*
(exp (- (* t_0 y.re) (* (atan2 x.im x.re) y.im)))
(sin (+ (* t_0 y.im) (* (atan2 x.im x.re) y.re))))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im))));
return exp(((t_0 * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im))) * sin(((t_0 * y_46_im) + (atan2(x_46_im, x_46_re) * y_46_re)));
}
real(8) function code(x_46re, x_46im, y_46re, y_46im)
real(8), intent (in) :: x_46re
real(8), intent (in) :: x_46im
real(8), intent (in) :: y_46re
real(8), intent (in) :: y_46im
real(8) :: t_0
t_0 = log(sqrt(((x_46re * x_46re) + (x_46im * x_46im))))
code = exp(((t_0 * y_46re) - (atan2(x_46im, x_46re) * y_46im))) * sin(((t_0 * y_46im) + (atan2(x_46im, x_46re) * y_46re)))
end function
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = Math.log(Math.sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im))));
return Math.exp(((t_0 * y_46_re) - (Math.atan2(x_46_im, x_46_re) * y_46_im))) * Math.sin(((t_0 * y_46_im) + (Math.atan2(x_46_im, x_46_re) * y_46_re)));
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): t_0 = math.log(math.sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) return math.exp(((t_0 * y_46_re) - (math.atan2(x_46_im, x_46_re) * y_46_im))) * math.sin(((t_0 * y_46_im) + (math.atan2(x_46_im, x_46_re) * y_46_re)))
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = log(sqrt(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) return Float64(exp(Float64(Float64(t_0 * y_46_re) - Float64(atan(x_46_im, x_46_re) * y_46_im))) * sin(Float64(Float64(t_0 * y_46_im) + Float64(atan(x_46_im, x_46_re) * y_46_re)))) end
function tmp = code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))); tmp = exp(((t_0 * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im))) * sin(((t_0 * y_46_im) + (atan2(x_46_im, x_46_re) * y_46_re))); end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Log[N[Sqrt[N[(N[(x$46$re * x$46$re), $MachinePrecision] + N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]}, N[(N[Exp[N[(N[(t$95$0 * y$46$re), $MachinePrecision] - N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[(t$95$0 * y$46$im), $MachinePrecision] + N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right)\\
e^{t\_0 \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(t\_0 \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)
\end{array}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 19 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (log (sqrt (+ (* x.re x.re) (* x.im x.im))))))
(*
(exp (- (* t_0 y.re) (* (atan2 x.im x.re) y.im)))
(sin (+ (* t_0 y.im) (* (atan2 x.im x.re) y.re))))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im))));
return exp(((t_0 * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im))) * sin(((t_0 * y_46_im) + (atan2(x_46_im, x_46_re) * y_46_re)));
}
real(8) function code(x_46re, x_46im, y_46re, y_46im)
real(8), intent (in) :: x_46re
real(8), intent (in) :: x_46im
real(8), intent (in) :: y_46re
real(8), intent (in) :: y_46im
real(8) :: t_0
t_0 = log(sqrt(((x_46re * x_46re) + (x_46im * x_46im))))
code = exp(((t_0 * y_46re) - (atan2(x_46im, x_46re) * y_46im))) * sin(((t_0 * y_46im) + (atan2(x_46im, x_46re) * y_46re)))
end function
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = Math.log(Math.sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im))));
return Math.exp(((t_0 * y_46_re) - (Math.atan2(x_46_im, x_46_re) * y_46_im))) * Math.sin(((t_0 * y_46_im) + (Math.atan2(x_46_im, x_46_re) * y_46_re)));
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): t_0 = math.log(math.sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) return math.exp(((t_0 * y_46_re) - (math.atan2(x_46_im, x_46_re) * y_46_im))) * math.sin(((t_0 * y_46_im) + (math.atan2(x_46_im, x_46_re) * y_46_re)))
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = log(sqrt(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) return Float64(exp(Float64(Float64(t_0 * y_46_re) - Float64(atan(x_46_im, x_46_re) * y_46_im))) * sin(Float64(Float64(t_0 * y_46_im) + Float64(atan(x_46_im, x_46_re) * y_46_re)))) end
function tmp = code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))); tmp = exp(((t_0 * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im))) * sin(((t_0 * y_46_im) + (atan2(x_46_im, x_46_re) * y_46_re))); end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Log[N[Sqrt[N[(N[(x$46$re * x$46$re), $MachinePrecision] + N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision]}, N[(N[Exp[N[(N[(t$95$0 * y$46$re), $MachinePrecision] - N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[(t$95$0 * y$46$im), $MachinePrecision] + N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right)\\
e^{t\_0 \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(t\_0 \cdot y.im + \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)
\end{array}
\end{array}
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (* (atan2 x.im x.re) y.re))
(t_1
(exp
(-
(* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re)
(* (atan2 x.im x.re) y.im))))
(t_2 (log (hypot x.im x.re))))
(if (<= y.re -4.5e-19)
(* t_1 (sin (* (fma y.im (/ t_2 y.re) (atan2 x.im x.re)) y.re)))
(if (<= y.re 1.4)
(*
(pow (exp (- y.im)) (atan2 x.im x.re))
(fma (* (cos t_0) t_2) y.im (sin t_0)))
(* t_1 (sin (* t_2 y.im)))))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = atan2(x_46_im, x_46_re) * y_46_re;
double t_1 = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im)));
double t_2 = log(hypot(x_46_im, x_46_re));
double tmp;
if (y_46_re <= -4.5e-19) {
tmp = t_1 * sin((fma(y_46_im, (t_2 / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re));
} else if (y_46_re <= 1.4) {
tmp = pow(exp(-y_46_im), atan2(x_46_im, x_46_re)) * fma((cos(t_0) * t_2), y_46_im, sin(t_0));
} else {
tmp = t_1 * sin((t_2 * y_46_im));
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = Float64(atan(x_46_im, x_46_re) * y_46_re) t_1 = exp(Float64(Float64(log(sqrt(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) * y_46_re) - Float64(atan(x_46_im, x_46_re) * y_46_im))) t_2 = log(hypot(x_46_im, x_46_re)) tmp = 0.0 if (y_46_re <= -4.5e-19) tmp = Float64(t_1 * sin(Float64(fma(y_46_im, Float64(t_2 / y_46_re), atan(x_46_im, x_46_re)) * y_46_re))); elseif (y_46_re <= 1.4) tmp = Float64((exp(Float64(-y_46_im)) ^ atan(x_46_im, x_46_re)) * fma(Float64(cos(t_0) * t_2), y_46_im, sin(t_0))); else tmp = Float64(t_1 * sin(Float64(t_2 * y_46_im))); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]}, Block[{t$95$1 = N[Exp[N[(N[(N[Log[N[Sqrt[N[(N[(x$46$re * x$46$re), $MachinePrecision] + N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$re), $MachinePrecision] - N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y$46$re, -4.5e-19], N[(t$95$1 * N[Sin[N[(N[(y$46$im * N[(t$95$2 / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$re, 1.4], N[(N[Power[N[Exp[(-y$46$im)], $MachinePrecision], N[ArcTan[x$46$im / x$46$re], $MachinePrecision]], $MachinePrecision] * N[(N[(N[Cos[t$95$0], $MachinePrecision] * t$95$2), $MachinePrecision] * y$46$im + N[Sin[t$95$0], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 * N[Sin[N[(t$95$2 * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\\
t_1 := e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im}\\
t_2 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
\mathbf{if}\;y.re \leq -4.5 \cdot 10^{-19}:\\
\;\;\;\;t\_1 \cdot \sin \left(\mathsf{fma}\left(y.im, \frac{t\_2}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right)\\
\mathbf{elif}\;y.re \leq 1.4:\\
\;\;\;\;{\left(e^{-y.im}\right)}^{\tan^{-1}_* \frac{x.im}{x.re}} \cdot \mathsf{fma}\left(\cos t\_0 \cdot t\_2, y.im, \sin t\_0\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 \cdot \sin \left(t\_2 \cdot y.im\right)\\
\end{array}
\end{array}
if y.re < -4.50000000000000013e-19Initial program 51.5%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6489.5
Applied rewrites89.5%
if -4.50000000000000013e-19 < y.re < 1.3999999999999999Initial program 38.0%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites48.4%
Taylor expanded in y.re around 0
distribute-lft-neg-inN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64N/A
lower-neg.f64N/A
lower-atan2.f6486.6
Applied rewrites86.6%
if 1.3999999999999999 < y.re Initial program 26.9%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6474.7
Applied rewrites74.7%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0
(exp
(-
(* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re)
(* (atan2 x.im x.re) y.im))))
(t_1 (log (hypot x.im x.re)))
(t_2 (sin (* (fma y.im (/ t_1 y.re) (atan2 x.im x.re)) y.re))))
(if (<= y.re -1e-5)
(* t_0 t_2)
(if (<= y.re 2.1e-5)
(* (pow (exp (- y.im)) (atan2 x.im x.re)) t_2)
(* t_0 (sin (* t_1 y.im)))))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im)));
double t_1 = log(hypot(x_46_im, x_46_re));
double t_2 = sin((fma(y_46_im, (t_1 / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re));
double tmp;
if (y_46_re <= -1e-5) {
tmp = t_0 * t_2;
} else if (y_46_re <= 2.1e-5) {
tmp = pow(exp(-y_46_im), atan2(x_46_im, x_46_re)) * t_2;
} else {
tmp = t_0 * sin((t_1 * y_46_im));
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = exp(Float64(Float64(log(sqrt(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) * y_46_re) - Float64(atan(x_46_im, x_46_re) * y_46_im))) t_1 = log(hypot(x_46_im, x_46_re)) t_2 = sin(Float64(fma(y_46_im, Float64(t_1 / y_46_re), atan(x_46_im, x_46_re)) * y_46_re)) tmp = 0.0 if (y_46_re <= -1e-5) tmp = Float64(t_0 * t_2); elseif (y_46_re <= 2.1e-5) tmp = Float64((exp(Float64(-y_46_im)) ^ atan(x_46_im, x_46_re)) * t_2); else tmp = Float64(t_0 * sin(Float64(t_1 * y_46_im))); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Exp[N[(N[(N[Log[N[Sqrt[N[(N[(x$46$re * x$46$re), $MachinePrecision] + N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$re), $MachinePrecision] - N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[(y$46$im * N[(t$95$1 / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y$46$re, -1e-5], N[(t$95$0 * t$95$2), $MachinePrecision], If[LessEqual[y$46$re, 2.1e-5], N[(N[Power[N[Exp[(-y$46$im)], $MachinePrecision], N[ArcTan[x$46$im / x$46$re], $MachinePrecision]], $MachinePrecision] * t$95$2), $MachinePrecision], N[(t$95$0 * N[Sin[N[(t$95$1 * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im}\\
t_1 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
t_2 := \sin \left(\mathsf{fma}\left(y.im, \frac{t\_1}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right)\\
\mathbf{if}\;y.re \leq -1 \cdot 10^{-5}:\\
\;\;\;\;t\_0 \cdot t\_2\\
\mathbf{elif}\;y.re \leq 2.1 \cdot 10^{-5}:\\
\;\;\;\;{\left(e^{-y.im}\right)}^{\tan^{-1}_* \frac{x.im}{x.re}} \cdot t\_2\\
\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \sin \left(t\_1 \cdot y.im\right)\\
\end{array}
\end{array}
if y.re < -1.00000000000000008e-5Initial program 52.4%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6492.1
Applied rewrites92.1%
if -1.00000000000000008e-5 < y.re < 2.09999999999999988e-5Initial program 37.2%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6426.6
Applied rewrites26.6%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6460.1
Applied rewrites60.1%
Taylor expanded in y.re around 0
distribute-lft-neg-inN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64N/A
lower-neg.f64N/A
lower-atan2.f6474.9
Applied rewrites74.9%
if 2.09999999999999988e-5 < y.re Initial program 28.6%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6474.3
Applied rewrites74.3%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (log (hypot x.im x.re)))
(t_1
(exp
(-
(* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re)
(* (atan2 x.im x.re) y.im)))))
(if (<= y.re -2.1e-5)
(* t_1 (sin (* (atan2 x.im x.re) y.re)))
(if (<= y.re 2.1e-5)
(*
(pow (exp (- y.im)) (atan2 x.im x.re))
(sin (* (fma y.im (/ t_0 y.re) (atan2 x.im x.re)) y.re)))
(* t_1 (sin (* t_0 y.im)))))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = log(hypot(x_46_im, x_46_re));
double t_1 = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im)));
double tmp;
if (y_46_re <= -2.1e-5) {
tmp = t_1 * sin((atan2(x_46_im, x_46_re) * y_46_re));
} else if (y_46_re <= 2.1e-5) {
tmp = pow(exp(-y_46_im), atan2(x_46_im, x_46_re)) * sin((fma(y_46_im, (t_0 / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re));
} else {
tmp = t_1 * sin((t_0 * y_46_im));
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = log(hypot(x_46_im, x_46_re)) t_1 = exp(Float64(Float64(log(sqrt(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) * y_46_re) - Float64(atan(x_46_im, x_46_re) * y_46_im))) tmp = 0.0 if (y_46_re <= -2.1e-5) tmp = Float64(t_1 * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))); elseif (y_46_re <= 2.1e-5) tmp = Float64((exp(Float64(-y_46_im)) ^ atan(x_46_im, x_46_re)) * sin(Float64(fma(y_46_im, Float64(t_0 / y_46_re), atan(x_46_im, x_46_re)) * y_46_re))); else tmp = Float64(t_1 * sin(Float64(t_0 * y_46_im))); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Exp[N[(N[(N[Log[N[Sqrt[N[(N[(x$46$re * x$46$re), $MachinePrecision] + N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$re), $MachinePrecision] - N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y$46$re, -2.1e-5], N[(t$95$1 * N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$re, 2.1e-5], N[(N[Power[N[Exp[(-y$46$im)], $MachinePrecision], N[ArcTan[x$46$im / x$46$re], $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[(y$46$im * N[(t$95$0 / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(t$95$1 * N[Sin[N[(t$95$0 * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
t_1 := e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im}\\
\mathbf{if}\;y.re \leq -2.1 \cdot 10^{-5}:\\
\;\;\;\;t\_1 \cdot \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{elif}\;y.re \leq 2.1 \cdot 10^{-5}:\\
\;\;\;\;{\left(e^{-y.im}\right)}^{\tan^{-1}_* \frac{x.im}{x.re}} \cdot \sin \left(\mathsf{fma}\left(y.im, \frac{t\_0}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 \cdot \sin \left(t\_0 \cdot y.im\right)\\
\end{array}
\end{array}
if y.re < -2.09999999999999988e-5Initial program 52.4%
Taylor expanded in y.im around 0
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6490.5
Applied rewrites90.5%
if -2.09999999999999988e-5 < y.re < 2.09999999999999988e-5Initial program 37.2%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6426.6
Applied rewrites26.6%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6460.1
Applied rewrites60.1%
Taylor expanded in y.re around 0
distribute-lft-neg-inN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64N/A
lower-neg.f64N/A
lower-atan2.f6474.9
Applied rewrites74.9%
if 2.09999999999999988e-5 < y.re Initial program 28.6%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6474.3
Applied rewrites74.3%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (log (hypot x.im x.re))))
(if (or (<= y.im -8e-89) (not (<= y.im 4.2e-41)))
(*
(exp
(-
(* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re)
(* (atan2 x.im x.re) y.im)))
(sin (* t_0 y.im)))
(*
(sin (* (fma t_0 (/ y.im y.re) (atan2 x.im x.re)) y.re))
(pow (hypot x.im x.re) y.re)))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = log(hypot(x_46_im, x_46_re));
double tmp;
if ((y_46_im <= -8e-89) || !(y_46_im <= 4.2e-41)) {
tmp = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im))) * sin((t_0 * y_46_im));
} else {
tmp = sin((fma(t_0, (y_46_im / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re)) * pow(hypot(x_46_im, x_46_re), y_46_re);
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = log(hypot(x_46_im, x_46_re)) tmp = 0.0 if ((y_46_im <= -8e-89) || !(y_46_im <= 4.2e-41)) tmp = Float64(exp(Float64(Float64(log(sqrt(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) * y_46_re) - Float64(atan(x_46_im, x_46_re) * y_46_im))) * sin(Float64(t_0 * y_46_im))); else tmp = Float64(sin(Float64(fma(t_0, Float64(y_46_im / y_46_re), atan(x_46_im, x_46_re)) * y_46_re)) * (hypot(x_46_im, x_46_re) ^ y_46_re)); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[y$46$im, -8e-89], N[Not[LessEqual[y$46$im, 4.2e-41]], $MachinePrecision]], N[(N[Exp[N[(N[(N[Log[N[Sqrt[N[(N[(x$46$re * x$46$re), $MachinePrecision] + N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$re), $MachinePrecision] - N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(t$95$0 * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[Sin[N[(N[(t$95$0 * N[(y$46$im / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision] * N[Power[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision], y$46$re], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
\mathbf{if}\;y.im \leq -8 \cdot 10^{-89} \lor \neg \left(y.im \leq 4.2 \cdot 10^{-41}\right):\\
\;\;\;\;e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(t\_0 \cdot y.im\right)\\
\mathbf{else}:\\
\;\;\;\;\sin \left(\mathsf{fma}\left(t\_0, \frac{y.im}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right) \cdot {\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re}\\
\end{array}
\end{array}
if y.im < -8.00000000000000031e-89 or 4.20000000000000025e-41 < y.im Initial program 40.5%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6469.3
Applied rewrites69.3%
if -8.00000000000000031e-89 < y.im < 4.20000000000000025e-41Initial program 35.9%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6435.9
Applied rewrites35.9%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6489.7
Applied rewrites89.7%
lift-*.f64N/A
*-commutativeN/A
lower-*.f6489.7
Applied rewrites89.7%
Final simplification78.2%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (log (hypot x.im x.re)))
(t_1 (* (sin (* t_0 y.im)) (pow (exp (- y.im)) (atan2 x.im x.re)))))
(if (<= y.im -2.32e+126)
t_1
(if (<= y.im -102000.0)
(*
(exp
(- (* (log (sqrt (* x.im x.im))) y.re) (* (atan2 x.im x.re) y.im)))
(sin (* (atan2 x.im x.re) y.re)))
(if (<= y.im 1.02e+22)
(*
(sin (* (fma t_0 (/ y.im y.re) (atan2 x.im x.re)) y.re))
(pow (hypot x.im x.re) y.re))
t_1)))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = log(hypot(x_46_im, x_46_re));
double t_1 = sin((t_0 * y_46_im)) * pow(exp(-y_46_im), atan2(x_46_im, x_46_re));
double tmp;
if (y_46_im <= -2.32e+126) {
tmp = t_1;
} else if (y_46_im <= -102000.0) {
tmp = exp(((log(sqrt((x_46_im * x_46_im))) * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im))) * sin((atan2(x_46_im, x_46_re) * y_46_re));
} else if (y_46_im <= 1.02e+22) {
tmp = sin((fma(t_0, (y_46_im / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re)) * pow(hypot(x_46_im, x_46_re), y_46_re);
} else {
tmp = t_1;
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = log(hypot(x_46_im, x_46_re)) t_1 = Float64(sin(Float64(t_0 * y_46_im)) * (exp(Float64(-y_46_im)) ^ atan(x_46_im, x_46_re))) tmp = 0.0 if (y_46_im <= -2.32e+126) tmp = t_1; elseif (y_46_im <= -102000.0) tmp = Float64(exp(Float64(Float64(log(sqrt(Float64(x_46_im * x_46_im))) * y_46_re) - Float64(atan(x_46_im, x_46_re) * y_46_im))) * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))); elseif (y_46_im <= 1.02e+22) tmp = Float64(sin(Float64(fma(t_0, Float64(y_46_im / y_46_re), atan(x_46_im, x_46_re)) * y_46_re)) * (hypot(x_46_im, x_46_re) ^ y_46_re)); else tmp = t_1; end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[N[(t$95$0 * y$46$im), $MachinePrecision]], $MachinePrecision] * N[Power[N[Exp[(-y$46$im)], $MachinePrecision], N[ArcTan[x$46$im / x$46$re], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y$46$im, -2.32e+126], t$95$1, If[LessEqual[y$46$im, -102000.0], N[(N[Exp[N[(N[(N[Log[N[Sqrt[N[(x$46$im * x$46$im), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$re), $MachinePrecision] - N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$im, 1.02e+22], N[(N[Sin[N[(N[(t$95$0 * N[(y$46$im / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision] * N[Power[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision], y$46$re], $MachinePrecision]), $MachinePrecision], t$95$1]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
t_1 := \sin \left(t\_0 \cdot y.im\right) \cdot {\left(e^{-y.im}\right)}^{\tan^{-1}_* \frac{x.im}{x.re}}\\
\mathbf{if}\;y.im \leq -2.32 \cdot 10^{+126}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y.im \leq -102000:\\
\;\;\;\;e^{\log \left(\sqrt{x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{elif}\;y.im \leq 1.02 \cdot 10^{+22}:\\
\;\;\;\;\sin \left(\mathsf{fma}\left(t\_0, \frac{y.im}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right) \cdot {\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y.im < -2.31999999999999995e126 or 1.02e22 < y.im Initial program 33.9%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites65.5%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
distribute-lft-neg-inN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64N/A
lower-neg.f64N/A
lower-atan2.f6462.5
Applied rewrites62.5%
if -2.31999999999999995e126 < y.im < -102000Initial program 32.1%
Taylor expanded in y.im around 0
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6464.5
Applied rewrites64.5%
Taylor expanded in x.re around 0
unpow2N/A
lower-*.f6468.1
Applied rewrites68.1%
if -102000 < y.im < 1.02e22Initial program 42.8%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6442.5
Applied rewrites42.5%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6487.9
Applied rewrites87.9%
lift-*.f64N/A
*-commutativeN/A
lower-*.f6487.9
Applied rewrites87.9%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (log (hypot x.im x.re)))
(t_1 (* (sin (* t_0 y.im)) (pow (exp (- y.im)) (atan2 x.im x.re)))))
(if (<= y.im -2.32e+126)
t_1
(if (<= y.im -102000.0)
(*
(exp
(- (* (log (sqrt (* x.im x.im))) y.re) (* (atan2 x.im x.re) y.im)))
(sin (* (atan2 x.im x.re) y.re)))
(if (<= y.im 1.02e+22)
(*
(pow (hypot x.im x.re) y.re)
(sin (* (fma y.im (/ t_0 y.re) (atan2 x.im x.re)) y.re)))
t_1)))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = log(hypot(x_46_im, x_46_re));
double t_1 = sin((t_0 * y_46_im)) * pow(exp(-y_46_im), atan2(x_46_im, x_46_re));
double tmp;
if (y_46_im <= -2.32e+126) {
tmp = t_1;
} else if (y_46_im <= -102000.0) {
tmp = exp(((log(sqrt((x_46_im * x_46_im))) * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im))) * sin((atan2(x_46_im, x_46_re) * y_46_re));
} else if (y_46_im <= 1.02e+22) {
tmp = pow(hypot(x_46_im, x_46_re), y_46_re) * sin((fma(y_46_im, (t_0 / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re));
} else {
tmp = t_1;
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = log(hypot(x_46_im, x_46_re)) t_1 = Float64(sin(Float64(t_0 * y_46_im)) * (exp(Float64(-y_46_im)) ^ atan(x_46_im, x_46_re))) tmp = 0.0 if (y_46_im <= -2.32e+126) tmp = t_1; elseif (y_46_im <= -102000.0) tmp = Float64(exp(Float64(Float64(log(sqrt(Float64(x_46_im * x_46_im))) * y_46_re) - Float64(atan(x_46_im, x_46_re) * y_46_im))) * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))); elseif (y_46_im <= 1.02e+22) tmp = Float64((hypot(x_46_im, x_46_re) ^ y_46_re) * sin(Float64(fma(y_46_im, Float64(t_0 / y_46_re), atan(x_46_im, x_46_re)) * y_46_re))); else tmp = t_1; end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[Sin[N[(t$95$0 * y$46$im), $MachinePrecision]], $MachinePrecision] * N[Power[N[Exp[(-y$46$im)], $MachinePrecision], N[ArcTan[x$46$im / x$46$re], $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y$46$im, -2.32e+126], t$95$1, If[LessEqual[y$46$im, -102000.0], N[(N[Exp[N[(N[(N[Log[N[Sqrt[N[(x$46$im * x$46$im), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$re), $MachinePrecision] - N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$im, 1.02e+22], N[(N[Power[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision], y$46$re], $MachinePrecision] * N[Sin[N[(N[(y$46$im * N[(t$95$0 / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], t$95$1]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
t_1 := \sin \left(t\_0 \cdot y.im\right) \cdot {\left(e^{-y.im}\right)}^{\tan^{-1}_* \frac{x.im}{x.re}}\\
\mathbf{if}\;y.im \leq -2.32 \cdot 10^{+126}:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;y.im \leq -102000:\\
\;\;\;\;e^{\log \left(\sqrt{x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{elif}\;y.im \leq 1.02 \cdot 10^{+22}:\\
\;\;\;\;{\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re} \cdot \sin \left(\mathsf{fma}\left(y.im, \frac{t\_0}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if y.im < -2.31999999999999995e126 or 1.02e22 < y.im Initial program 33.9%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites65.5%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
distribute-lft-neg-inN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64N/A
lower-neg.f64N/A
lower-atan2.f6462.5
Applied rewrites62.5%
if -2.31999999999999995e126 < y.im < -102000Initial program 32.1%
Taylor expanded in y.im around 0
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6464.5
Applied rewrites64.5%
Taylor expanded in x.re around 0
unpow2N/A
lower-*.f6468.1
Applied rewrites68.1%
if -102000 < y.im < 1.02e22Initial program 42.8%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6442.5
Applied rewrites42.5%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6487.9
Applied rewrites87.9%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (log (hypot x.im x.re))) (t_1 (sin (* t_0 y.im))))
(if (<= y.re -4.3e-11)
(*
(exp
(-
(* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re)
(* (atan2 x.im x.re) y.im)))
(sin (* (atan2 x.im x.re) y.re)))
(if (<= y.re -1.82e-218)
(* 1.0 (sin (* (fma y.im (/ t_0 y.re) (atan2 x.im x.re)) y.re)))
(if (<= y.re 1.9e+14)
(* t_1 (pow (exp (- y.im)) (atan2 x.im x.re)))
(* (pow (hypot x.im x.re) y.re) t_1))))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = log(hypot(x_46_im, x_46_re));
double t_1 = sin((t_0 * y_46_im));
double tmp;
if (y_46_re <= -4.3e-11) {
tmp = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im))) * sin((atan2(x_46_im, x_46_re) * y_46_re));
} else if (y_46_re <= -1.82e-218) {
tmp = 1.0 * sin((fma(y_46_im, (t_0 / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re));
} else if (y_46_re <= 1.9e+14) {
tmp = t_1 * pow(exp(-y_46_im), atan2(x_46_im, x_46_re));
} else {
tmp = pow(hypot(x_46_im, x_46_re), y_46_re) * t_1;
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = log(hypot(x_46_im, x_46_re)) t_1 = sin(Float64(t_0 * y_46_im)) tmp = 0.0 if (y_46_re <= -4.3e-11) tmp = Float64(exp(Float64(Float64(log(sqrt(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) * y_46_re) - Float64(atan(x_46_im, x_46_re) * y_46_im))) * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))); elseif (y_46_re <= -1.82e-218) tmp = Float64(1.0 * sin(Float64(fma(y_46_im, Float64(t_0 / y_46_re), atan(x_46_im, x_46_re)) * y_46_re))); elseif (y_46_re <= 1.9e+14) tmp = Float64(t_1 * (exp(Float64(-y_46_im)) ^ atan(x_46_im, x_46_re))); else tmp = Float64((hypot(x_46_im, x_46_re) ^ y_46_re) * t_1); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[Sin[N[(t$95$0 * y$46$im), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y$46$re, -4.3e-11], N[(N[Exp[N[(N[(N[Log[N[Sqrt[N[(N[(x$46$re * x$46$re), $MachinePrecision] + N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$re), $MachinePrecision] - N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$re, -1.82e-218], N[(1.0 * N[Sin[N[(N[(y$46$im * N[(t$95$0 / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$re, 1.9e+14], N[(t$95$1 * N[Power[N[Exp[(-y$46$im)], $MachinePrecision], N[ArcTan[x$46$im / x$46$re], $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[Power[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision], y$46$re], $MachinePrecision] * t$95$1), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
t_1 := \sin \left(t\_0 \cdot y.im\right)\\
\mathbf{if}\;y.re \leq -4.3 \cdot 10^{-11}:\\
\;\;\;\;e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{elif}\;y.re \leq -1.82 \cdot 10^{-218}:\\
\;\;\;\;1 \cdot \sin \left(\mathsf{fma}\left(y.im, \frac{t\_0}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right)\\
\mathbf{elif}\;y.re \leq 1.9 \cdot 10^{+14}:\\
\;\;\;\;t\_1 \cdot {\left(e^{-y.im}\right)}^{\tan^{-1}_* \frac{x.im}{x.re}}\\
\mathbf{else}:\\
\;\;\;\;{\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re} \cdot t\_1\\
\end{array}
\end{array}
if y.re < -4.30000000000000001e-11Initial program 53.1%
Taylor expanded in y.im around 0
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6490.7
Applied rewrites90.7%
if -4.30000000000000001e-11 < y.re < -1.81999999999999998e-218Initial program 27.4%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6425.0
Applied rewrites25.0%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6463.0
Applied rewrites63.0%
Taylor expanded in y.re around 0
Applied rewrites63.0%
if -1.81999999999999998e-218 < y.re < 1.9e14Initial program 41.7%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites49.9%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
distribute-lft-neg-inN/A
exp-prodN/A
lower-pow.f64N/A
lower-exp.f64N/A
lower-neg.f64N/A
lower-atan2.f6475.9
Applied rewrites75.9%
if 1.9e14 < y.re Initial program 26.6%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6420.5
Applied rewrites20.5%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6467.4
Applied rewrites67.4%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (log (hypot x.im x.re)))
(t_1 (* (atan2 x.im x.re) y.im))
(t_2 (sin (* (atan2 x.im x.re) y.re))))
(if (<= y.re -4.3e-11)
(*
(exp (- (* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re) t_1))
t_2)
(if (<= y.re 8.5e-63)
(* 1.0 (sin (* (fma y.im (/ t_0 y.re) (atan2 x.im x.re)) y.re)))
(if (<= y.re 4e+38)
(* (exp (- (* (log (sqrt (* x.im x.im))) y.re) t_1)) t_2)
(* (pow (hypot x.im x.re) y.re) (sin (* t_0 y.im))))))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = log(hypot(x_46_im, x_46_re));
double t_1 = atan2(x_46_im, x_46_re) * y_46_im;
double t_2 = sin((atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if (y_46_re <= -4.3e-11) {
tmp = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - t_1)) * t_2;
} else if (y_46_re <= 8.5e-63) {
tmp = 1.0 * sin((fma(y_46_im, (t_0 / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re));
} else if (y_46_re <= 4e+38) {
tmp = exp(((log(sqrt((x_46_im * x_46_im))) * y_46_re) - t_1)) * t_2;
} else {
tmp = pow(hypot(x_46_im, x_46_re), y_46_re) * sin((t_0 * y_46_im));
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = log(hypot(x_46_im, x_46_re)) t_1 = Float64(atan(x_46_im, x_46_re) * y_46_im) t_2 = sin(Float64(atan(x_46_im, x_46_re) * y_46_re)) tmp = 0.0 if (y_46_re <= -4.3e-11) tmp = Float64(exp(Float64(Float64(log(sqrt(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) * y_46_re) - t_1)) * t_2); elseif (y_46_re <= 8.5e-63) tmp = Float64(1.0 * sin(Float64(fma(y_46_im, Float64(t_0 / y_46_re), atan(x_46_im, x_46_re)) * y_46_re))); elseif (y_46_re <= 4e+38) tmp = Float64(exp(Float64(Float64(log(sqrt(Float64(x_46_im * x_46_im))) * y_46_re) - t_1)) * t_2); else tmp = Float64((hypot(x_46_im, x_46_re) ^ y_46_re) * sin(Float64(t_0 * y_46_im))); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$1 = N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y$46$re, -4.3e-11], N[(N[Exp[N[(N[(N[Log[N[Sqrt[N[(N[(x$46$re * x$46$re), $MachinePrecision] + N[(x$46$im * x$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$re), $MachinePrecision] - t$95$1), $MachinePrecision]], $MachinePrecision] * t$95$2), $MachinePrecision], If[LessEqual[y$46$re, 8.5e-63], N[(1.0 * N[Sin[N[(N[(y$46$im * N[(t$95$0 / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$re, 4e+38], N[(N[Exp[N[(N[(N[Log[N[Sqrt[N[(x$46$im * x$46$im), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$re), $MachinePrecision] - t$95$1), $MachinePrecision]], $MachinePrecision] * t$95$2), $MachinePrecision], N[(N[Power[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision], y$46$re], $MachinePrecision] * N[Sin[N[(t$95$0 * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
t_1 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im\\
t_2 := \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{if}\;y.re \leq -4.3 \cdot 10^{-11}:\\
\;\;\;\;e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - t\_1} \cdot t\_2\\
\mathbf{elif}\;y.re \leq 8.5 \cdot 10^{-63}:\\
\;\;\;\;1 \cdot \sin \left(\mathsf{fma}\left(y.im, \frac{t\_0}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right)\\
\mathbf{elif}\;y.re \leq 4 \cdot 10^{+38}:\\
\;\;\;\;e^{\log \left(\sqrt{x.im \cdot x.im}\right) \cdot y.re - t\_1} \cdot t\_2\\
\mathbf{else}:\\
\;\;\;\;{\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re} \cdot \sin \left(t\_0 \cdot y.im\right)\\
\end{array}
\end{array}
if y.re < -4.30000000000000001e-11Initial program 53.1%
Taylor expanded in y.im around 0
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6490.7
Applied rewrites90.7%
if -4.30000000000000001e-11 < y.re < 8.49999999999999969e-63Initial program 35.2%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6427.6
Applied rewrites27.6%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6462.4
Applied rewrites62.4%
Taylor expanded in y.re around 0
Applied rewrites62.4%
if 8.49999999999999969e-63 < y.re < 3.99999999999999991e38Initial program 42.9%
Taylor expanded in y.im around 0
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6461.1
Applied rewrites61.1%
Taylor expanded in x.re around 0
unpow2N/A
lower-*.f6461.4
Applied rewrites61.4%
if 3.99999999999999991e38 < y.re Initial program 26.3%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6421.2
Applied rewrites21.2%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6470.4
Applied rewrites70.4%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (pow (hypot x.im x.re) y.re))
(t_1 (log (hypot x.im x.re)))
(t_2 (sin (* (atan2 x.im x.re) y.re))))
(if (<= y.re -3.55e-12)
(* t_0 t_2)
(if (<= y.re 8.5e-63)
(* 1.0 (sin (* (fma y.im (/ t_1 y.re) (atan2 x.im x.re)) y.re)))
(if (<= y.re 4e+38)
(*
(exp
(- (* (log (sqrt (* x.im x.im))) y.re) (* (atan2 x.im x.re) y.im)))
t_2)
(* t_0 (sin (* t_1 y.im))))))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = pow(hypot(x_46_im, x_46_re), y_46_re);
double t_1 = log(hypot(x_46_im, x_46_re));
double t_2 = sin((atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if (y_46_re <= -3.55e-12) {
tmp = t_0 * t_2;
} else if (y_46_re <= 8.5e-63) {
tmp = 1.0 * sin((fma(y_46_im, (t_1 / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re));
} else if (y_46_re <= 4e+38) {
tmp = exp(((log(sqrt((x_46_im * x_46_im))) * y_46_re) - (atan2(x_46_im, x_46_re) * y_46_im))) * t_2;
} else {
tmp = t_0 * sin((t_1 * y_46_im));
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = hypot(x_46_im, x_46_re) ^ y_46_re t_1 = log(hypot(x_46_im, x_46_re)) t_2 = sin(Float64(atan(x_46_im, x_46_re) * y_46_re)) tmp = 0.0 if (y_46_re <= -3.55e-12) tmp = Float64(t_0 * t_2); elseif (y_46_re <= 8.5e-63) tmp = Float64(1.0 * sin(Float64(fma(y_46_im, Float64(t_1 / y_46_re), atan(x_46_im, x_46_re)) * y_46_re))); elseif (y_46_re <= 4e+38) tmp = Float64(exp(Float64(Float64(log(sqrt(Float64(x_46_im * x_46_im))) * y_46_re) - Float64(atan(x_46_im, x_46_re) * y_46_im))) * t_2); else tmp = Float64(t_0 * sin(Float64(t_1 * y_46_im))); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Power[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision], y$46$re], $MachinePrecision]}, Block[{t$95$1 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y$46$re, -3.55e-12], N[(t$95$0 * t$95$2), $MachinePrecision], If[LessEqual[y$46$re, 8.5e-63], N[(1.0 * N[Sin[N[(N[(y$46$im * N[(t$95$1 / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$re, 4e+38], N[(N[Exp[N[(N[(N[Log[N[Sqrt[N[(x$46$im * x$46$im), $MachinePrecision]], $MachinePrecision]], $MachinePrecision] * y$46$re), $MachinePrecision] - N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * t$95$2), $MachinePrecision], N[(t$95$0 * N[Sin[N[(t$95$1 * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re}\\
t_1 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
t_2 := \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{if}\;y.re \leq -3.55 \cdot 10^{-12}:\\
\;\;\;\;t\_0 \cdot t\_2\\
\mathbf{elif}\;y.re \leq 8.5 \cdot 10^{-63}:\\
\;\;\;\;1 \cdot \sin \left(\mathsf{fma}\left(y.im, \frac{t\_1}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right)\\
\mathbf{elif}\;y.re \leq 4 \cdot 10^{+38}:\\
\;\;\;\;e^{\log \left(\sqrt{x.im \cdot x.im}\right) \cdot y.re - \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im} \cdot t\_2\\
\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \sin \left(t\_1 \cdot y.im\right)\\
\end{array}
\end{array}
if y.re < -3.55e-12Initial program 53.1%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites89.1%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6489.2
Applied rewrites89.2%
if -3.55e-12 < y.re < 8.49999999999999969e-63Initial program 35.2%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6427.6
Applied rewrites27.6%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6462.4
Applied rewrites62.4%
Taylor expanded in y.re around 0
Applied rewrites62.4%
if 8.49999999999999969e-63 < y.re < 3.99999999999999991e38Initial program 42.9%
Taylor expanded in y.im around 0
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6461.1
Applied rewrites61.1%
Taylor expanded in x.re around 0
unpow2N/A
lower-*.f6461.4
Applied rewrites61.4%
if 3.99999999999999991e38 < y.re Initial program 26.3%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6421.2
Applied rewrites21.2%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6470.4
Applied rewrites70.4%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (pow (hypot x.im x.re) y.re)) (t_1 (log (hypot x.im x.re))))
(if (<= y.re -3.55e-12)
(* t_0 (sin (* (atan2 x.im x.re) y.re)))
(if (<= y.re 0.046)
(* 1.0 (sin (* (fma y.im (/ t_1 y.re) (atan2 x.im x.re)) y.re)))
(* t_0 (sin (* t_1 y.im)))))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = pow(hypot(x_46_im, x_46_re), y_46_re);
double t_1 = log(hypot(x_46_im, x_46_re));
double tmp;
if (y_46_re <= -3.55e-12) {
tmp = t_0 * sin((atan2(x_46_im, x_46_re) * y_46_re));
} else if (y_46_re <= 0.046) {
tmp = 1.0 * sin((fma(y_46_im, (t_1 / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re));
} else {
tmp = t_0 * sin((t_1 * y_46_im));
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = hypot(x_46_im, x_46_re) ^ y_46_re t_1 = log(hypot(x_46_im, x_46_re)) tmp = 0.0 if (y_46_re <= -3.55e-12) tmp = Float64(t_0 * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))); elseif (y_46_re <= 0.046) tmp = Float64(1.0 * sin(Float64(fma(y_46_im, Float64(t_1 / y_46_re), atan(x_46_im, x_46_re)) * y_46_re))); else tmp = Float64(t_0 * sin(Float64(t_1 * y_46_im))); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Power[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision], y$46$re], $MachinePrecision]}, Block[{t$95$1 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y$46$re, -3.55e-12], N[(t$95$0 * N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$re, 0.046], N[(1.0 * N[Sin[N[(N[(y$46$im * N[(t$95$1 / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(t$95$0 * N[Sin[N[(t$95$1 * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re}\\
t_1 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
\mathbf{if}\;y.re \leq -3.55 \cdot 10^{-12}:\\
\;\;\;\;t\_0 \cdot \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{elif}\;y.re \leq 0.046:\\
\;\;\;\;1 \cdot \sin \left(\mathsf{fma}\left(y.im, \frac{t\_1}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right)\\
\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \sin \left(t\_1 \cdot y.im\right)\\
\end{array}
\end{array}
if y.re < -3.55e-12Initial program 53.1%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites89.1%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6489.2
Applied rewrites89.2%
if -3.55e-12 < y.re < 0.045999999999999999Initial program 37.4%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6426.2
Applied rewrites26.2%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6459.1
Applied rewrites59.1%
Taylor expanded in y.re around 0
Applied rewrites58.8%
if 0.045999999999999999 < y.re Initial program 26.9%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6419.6
Applied rewrites19.6%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6467.4
Applied rewrites67.4%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (* (pow (hypot x.im x.re) y.re) (sin (* (atan2 x.im x.re) y.re))))
(t_1 (log (hypot x.im x.re))))
(if (<= y.re -3.55e-12)
t_0
(if (<= y.re 3.1e-15)
(* 1.0 (sin (* (fma y.im (/ t_1 y.re) (atan2 x.im x.re)) y.re)))
(if (<= y.re 7.6e+223)
t_0
(* (fma (* t_1 (atan2 x.im x.re)) y.re (atan2 x.im x.re)) y.re))))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = pow(hypot(x_46_im, x_46_re), y_46_re) * sin((atan2(x_46_im, x_46_re) * y_46_re));
double t_1 = log(hypot(x_46_im, x_46_re));
double tmp;
if (y_46_re <= -3.55e-12) {
tmp = t_0;
} else if (y_46_re <= 3.1e-15) {
tmp = 1.0 * sin((fma(y_46_im, (t_1 / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re));
} else if (y_46_re <= 7.6e+223) {
tmp = t_0;
} else {
tmp = fma((t_1 * atan2(x_46_im, x_46_re)), y_46_re, atan2(x_46_im, x_46_re)) * y_46_re;
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = Float64((hypot(x_46_im, x_46_re) ^ y_46_re) * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))) t_1 = log(hypot(x_46_im, x_46_re)) tmp = 0.0 if (y_46_re <= -3.55e-12) tmp = t_0; elseif (y_46_re <= 3.1e-15) tmp = Float64(1.0 * sin(Float64(fma(y_46_im, Float64(t_1 / y_46_re), atan(x_46_im, x_46_re)) * y_46_re))); elseif (y_46_re <= 7.6e+223) tmp = t_0; else tmp = Float64(fma(Float64(t_1 * atan(x_46_im, x_46_re)), y_46_re, atan(x_46_im, x_46_re)) * y_46_re); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[(N[Power[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision], y$46$re], $MachinePrecision] * N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y$46$re, -3.55e-12], t$95$0, If[LessEqual[y$46$re, 3.1e-15], N[(1.0 * N[Sin[N[(N[(y$46$im * N[(t$95$1 / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$re, 7.6e+223], t$95$0, N[(N[(N[(t$95$1 * N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re} \cdot \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
t_1 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
\mathbf{if}\;y.re \leq -3.55 \cdot 10^{-12}:\\
\;\;\;\;t\_0\\
\mathbf{elif}\;y.re \leq 3.1 \cdot 10^{-15}:\\
\;\;\;\;1 \cdot \sin \left(\mathsf{fma}\left(y.im, \frac{t\_1}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right)\\
\mathbf{elif}\;y.re \leq 7.6 \cdot 10^{+223}:\\
\;\;\;\;t\_0\\
\mathbf{else}:\\
\;\;\;\;\mathsf{fma}\left(t\_1 \cdot \tan^{-1}_* \frac{x.im}{x.re}, y.re, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\\
\end{array}
\end{array}
if y.re < -3.55e-12 or 3.0999999999999999e-15 < y.re < 7.6000000000000001e223Initial program 44.2%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites80.0%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6469.4
Applied rewrites69.4%
if -3.55e-12 < y.re < 3.0999999999999999e-15Initial program 36.1%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6426.2
Applied rewrites26.2%
Taylor expanded in y.re around inf
*-commutativeN/A
lower-*.f64N/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-atan2.f6460.2
Applied rewrites60.2%
Taylor expanded in y.re around 0
Applied rewrites60.1%
if 7.6000000000000001e223 < y.re Initial program 13.3%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites33.3%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6426.7
Applied rewrites26.7%
Taylor expanded in y.re around 0
Applied rewrites53.8%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (sin (* (atan2 x.im x.re) y.re))))
(if (<= y.im -0.084)
(* (pow (* (fma (/ 0.5 x.re) (/ (* x.im x.im) x.re) 1.0) x.re) y.re) t_0)
(* (pow (hypot x.im x.re) y.re) t_0))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = sin((atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if (y_46_im <= -0.084) {
tmp = pow((fma((0.5 / x_46_re), ((x_46_im * x_46_im) / x_46_re), 1.0) * x_46_re), y_46_re) * t_0;
} else {
tmp = pow(hypot(x_46_im, x_46_re), y_46_re) * t_0;
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = sin(Float64(atan(x_46_im, x_46_re) * y_46_re)) tmp = 0.0 if (y_46_im <= -0.084) tmp = Float64((Float64(fma(Float64(0.5 / x_46_re), Float64(Float64(x_46_im * x_46_im) / x_46_re), 1.0) * x_46_re) ^ y_46_re) * t_0); else tmp = Float64((hypot(x_46_im, x_46_re) ^ y_46_re) * t_0); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y$46$im, -0.084], N[(N[Power[N[(N[(N[(0.5 / x$46$re), $MachinePrecision] * N[(N[(x$46$im * x$46$im), $MachinePrecision] / x$46$re), $MachinePrecision] + 1.0), $MachinePrecision] * x$46$re), $MachinePrecision], y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision], N[(N[Power[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision], y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{if}\;y.im \leq -0.084:\\
\;\;\;\;{\left(\mathsf{fma}\left(\frac{0.5}{x.re}, \frac{x.im \cdot x.im}{x.re}, 1\right) \cdot x.re\right)}^{y.re} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;{\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re} \cdot t\_0\\
\end{array}
\end{array}
if y.im < -0.0840000000000000052Initial program 32.0%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites57.5%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6433.2
Applied rewrites33.2%
Taylor expanded in x.re around inf
Applied rewrites40.3%
if -0.0840000000000000052 < y.im Initial program 40.7%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites62.4%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6447.5
Applied rewrites47.5%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (sin (* (atan2 x.im x.re) y.re))))
(if (<= x.re -3.5e-45)
(* (pow (- x.re) y.re) t_0)
(*
(pow (* (fma (/ 0.5 x.re) (/ (* x.im x.im) x.re) 1.0) x.re) y.re)
t_0))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = sin((atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if (x_46_re <= -3.5e-45) {
tmp = pow(-x_46_re, y_46_re) * t_0;
} else {
tmp = pow((fma((0.5 / x_46_re), ((x_46_im * x_46_im) / x_46_re), 1.0) * x_46_re), y_46_re) * t_0;
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = sin(Float64(atan(x_46_im, x_46_re) * y_46_re)) tmp = 0.0 if (x_46_re <= -3.5e-45) tmp = Float64((Float64(-x_46_re) ^ y_46_re) * t_0); else tmp = Float64((Float64(fma(Float64(0.5 / x_46_re), Float64(Float64(x_46_im * x_46_im) / x_46_re), 1.0) * x_46_re) ^ y_46_re) * t_0); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[x$46$re, -3.5e-45], N[(N[Power[(-x$46$re), y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision], N[(N[Power[N[(N[(N[(0.5 / x$46$re), $MachinePrecision] * N[(N[(x$46$im * x$46$im), $MachinePrecision] / x$46$re), $MachinePrecision] + 1.0), $MachinePrecision] * x$46$re), $MachinePrecision], y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{if}\;x.re \leq -3.5 \cdot 10^{-45}:\\
\;\;\;\;{\left(-x.re\right)}^{y.re} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;{\left(\mathsf{fma}\left(\frac{0.5}{x.re}, \frac{x.im \cdot x.im}{x.re}, 1\right) \cdot x.re\right)}^{y.re} \cdot t\_0\\
\end{array}
\end{array}
if x.re < -3.5e-45Initial program 32.5%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites58.7%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6450.5
Applied rewrites50.5%
Taylor expanded in x.re around -inf
Applied rewrites50.5%
if -3.5e-45 < x.re Initial program 41.5%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites62.4%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6440.8
Applied rewrites40.8%
Taylor expanded in x.re around inf
Applied rewrites39.0%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (sin (* (atan2 x.im x.re) y.re))))
(if (<= x.re -3.5e-45)
(* (pow (- x.re) y.re) t_0)
(* (pow (fma (/ (* x.im x.im) x.re) 0.5 x.re) y.re) t_0))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = sin((atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if (x_46_re <= -3.5e-45) {
tmp = pow(-x_46_re, y_46_re) * t_0;
} else {
tmp = pow(fma(((x_46_im * x_46_im) / x_46_re), 0.5, x_46_re), y_46_re) * t_0;
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = sin(Float64(atan(x_46_im, x_46_re) * y_46_re)) tmp = 0.0 if (x_46_re <= -3.5e-45) tmp = Float64((Float64(-x_46_re) ^ y_46_re) * t_0); else tmp = Float64((fma(Float64(Float64(x_46_im * x_46_im) / x_46_re), 0.5, x_46_re) ^ y_46_re) * t_0); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[x$46$re, -3.5e-45], N[(N[Power[(-x$46$re), y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision], N[(N[Power[N[(N[(N[(x$46$im * x$46$im), $MachinePrecision] / x$46$re), $MachinePrecision] * 0.5 + x$46$re), $MachinePrecision], y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{if}\;x.re \leq -3.5 \cdot 10^{-45}:\\
\;\;\;\;{\left(-x.re\right)}^{y.re} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;{\left(\mathsf{fma}\left(\frac{x.im \cdot x.im}{x.re}, 0.5, x.re\right)\right)}^{y.re} \cdot t\_0\\
\end{array}
\end{array}
if x.re < -3.5e-45Initial program 32.5%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites58.7%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6450.5
Applied rewrites50.5%
Taylor expanded in x.re around -inf
Applied rewrites50.5%
if -3.5e-45 < x.re Initial program 41.5%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites62.4%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6440.8
Applied rewrites40.8%
Taylor expanded in x.im around 0
Applied rewrites38.3%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (sin (* (atan2 x.im x.re) y.re))))
(if (<= x.im -1.05e-32)
(* (pow (- x.im) y.re) t_0)
(if (<= x.im 4.8e-9)
(* (pow (- x.re) y.re) t_0)
(* (pow x.im y.re) t_0)))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = sin((atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if (x_46_im <= -1.05e-32) {
tmp = pow(-x_46_im, y_46_re) * t_0;
} else if (x_46_im <= 4.8e-9) {
tmp = pow(-x_46_re, y_46_re) * t_0;
} else {
tmp = pow(x_46_im, y_46_re) * t_0;
}
return tmp;
}
real(8) function code(x_46re, x_46im, y_46re, y_46im)
real(8), intent (in) :: x_46re
real(8), intent (in) :: x_46im
real(8), intent (in) :: y_46re
real(8), intent (in) :: y_46im
real(8) :: t_0
real(8) :: tmp
t_0 = sin((atan2(x_46im, x_46re) * y_46re))
if (x_46im <= (-1.05d-32)) then
tmp = (-x_46im ** y_46re) * t_0
else if (x_46im <= 4.8d-9) then
tmp = (-x_46re ** y_46re) * t_0
else
tmp = (x_46im ** y_46re) * t_0
end if
code = tmp
end function
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = Math.sin((Math.atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if (x_46_im <= -1.05e-32) {
tmp = Math.pow(-x_46_im, y_46_re) * t_0;
} else if (x_46_im <= 4.8e-9) {
tmp = Math.pow(-x_46_re, y_46_re) * t_0;
} else {
tmp = Math.pow(x_46_im, y_46_re) * t_0;
}
return tmp;
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): t_0 = math.sin((math.atan2(x_46_im, x_46_re) * y_46_re)) tmp = 0 if x_46_im <= -1.05e-32: tmp = math.pow(-x_46_im, y_46_re) * t_0 elif x_46_im <= 4.8e-9: tmp = math.pow(-x_46_re, y_46_re) * t_0 else: tmp = math.pow(x_46_im, y_46_re) * t_0 return tmp
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = sin(Float64(atan(x_46_im, x_46_re) * y_46_re)) tmp = 0.0 if (x_46_im <= -1.05e-32) tmp = Float64((Float64(-x_46_im) ^ y_46_re) * t_0); elseif (x_46_im <= 4.8e-9) tmp = Float64((Float64(-x_46_re) ^ y_46_re) * t_0); else tmp = Float64((x_46_im ^ y_46_re) * t_0); end return tmp end
function tmp_2 = code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = sin((atan2(x_46_im, x_46_re) * y_46_re)); tmp = 0.0; if (x_46_im <= -1.05e-32) tmp = (-x_46_im ^ y_46_re) * t_0; elseif (x_46_im <= 4.8e-9) tmp = (-x_46_re ^ y_46_re) * t_0; else tmp = (x_46_im ^ y_46_re) * t_0; end tmp_2 = tmp; end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[x$46$im, -1.05e-32], N[(N[Power[(-x$46$im), y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision], If[LessEqual[x$46$im, 4.8e-9], N[(N[Power[(-x$46$re), y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision], N[(N[Power[x$46$im, y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{if}\;x.im \leq -1.05 \cdot 10^{-32}:\\
\;\;\;\;{\left(-x.im\right)}^{y.re} \cdot t\_0\\
\mathbf{elif}\;x.im \leq 4.8 \cdot 10^{-9}:\\
\;\;\;\;{\left(-x.re\right)}^{y.re} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;{x.im}^{y.re} \cdot t\_0\\
\end{array}
\end{array}
if x.im < -1.05e-32Initial program 26.1%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites51.7%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6439.3
Applied rewrites39.3%
Taylor expanded in x.im around -inf
Applied rewrites39.3%
if -1.05e-32 < x.im < 4.8e-9Initial program 49.8%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites70.4%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6444.8
Applied rewrites44.8%
Taylor expanded in x.re around -inf
Applied rewrites42.4%
if 4.8e-9 < x.im Initial program 27.8%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites51.5%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6447.1
Applied rewrites47.1%
Taylor expanded in x.re around 0
Applied rewrites47.0%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (sin (* (atan2 x.im x.re) y.re))))
(if (or (<= y.re -2.65e+26) (not (<= y.re 5800000000.0)))
(* (pow x.im y.re) t_0)
(* 1.0 t_0))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = sin((atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if ((y_46_re <= -2.65e+26) || !(y_46_re <= 5800000000.0)) {
tmp = pow(x_46_im, y_46_re) * t_0;
} else {
tmp = 1.0 * t_0;
}
return tmp;
}
real(8) function code(x_46re, x_46im, y_46re, y_46im)
real(8), intent (in) :: x_46re
real(8), intent (in) :: x_46im
real(8), intent (in) :: y_46re
real(8), intent (in) :: y_46im
real(8) :: t_0
real(8) :: tmp
t_0 = sin((atan2(x_46im, x_46re) * y_46re))
if ((y_46re <= (-2.65d+26)) .or. (.not. (y_46re <= 5800000000.0d0))) then
tmp = (x_46im ** y_46re) * t_0
else
tmp = 1.0d0 * t_0
end if
code = tmp
end function
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = Math.sin((Math.atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if ((y_46_re <= -2.65e+26) || !(y_46_re <= 5800000000.0)) {
tmp = Math.pow(x_46_im, y_46_re) * t_0;
} else {
tmp = 1.0 * t_0;
}
return tmp;
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): t_0 = math.sin((math.atan2(x_46_im, x_46_re) * y_46_re)) tmp = 0 if (y_46_re <= -2.65e+26) or not (y_46_re <= 5800000000.0): tmp = math.pow(x_46_im, y_46_re) * t_0 else: tmp = 1.0 * t_0 return tmp
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = sin(Float64(atan(x_46_im, x_46_re) * y_46_re)) tmp = 0.0 if ((y_46_re <= -2.65e+26) || !(y_46_re <= 5800000000.0)) tmp = Float64((x_46_im ^ y_46_re) * t_0); else tmp = Float64(1.0 * t_0); end return tmp end
function tmp_2 = code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = sin((atan2(x_46_im, x_46_re) * y_46_re)); tmp = 0.0; if ((y_46_re <= -2.65e+26) || ~((y_46_re <= 5800000000.0))) tmp = (x_46_im ^ y_46_re) * t_0; else tmp = 1.0 * t_0; end tmp_2 = tmp; end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[y$46$re, -2.65e+26], N[Not[LessEqual[y$46$re, 5800000000.0]], $MachinePrecision]], N[(N[Power[x$46$im, y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision], N[(1.0 * t$95$0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{if}\;y.re \leq -2.65 \cdot 10^{+26} \lor \neg \left(y.re \leq 5800000000\right):\\
\;\;\;\;{x.im}^{y.re} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;1 \cdot t\_0\\
\end{array}
\end{array}
if y.re < -2.64999999999999984e26 or 5.8e9 < y.re Initial program 38.8%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites73.6%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6464.6
Applied rewrites64.6%
Taylor expanded in x.re around 0
Applied rewrites52.5%
if -2.64999999999999984e26 < y.re < 5.8e9Initial program 38.3%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites50.1%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6425.4
Applied rewrites25.4%
Taylor expanded in y.re around 0
Applied rewrites21.1%
Final simplification35.9%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (sin (* (atan2 x.im x.re) y.re))))
(if (<= x.im -8.3e-33)
(* (pow (- x.im) y.re) t_0)
(if (<= x.im 1e-162) (* (pow x.re y.re) t_0) (* (pow x.im y.re) t_0)))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = sin((atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if (x_46_im <= -8.3e-33) {
tmp = pow(-x_46_im, y_46_re) * t_0;
} else if (x_46_im <= 1e-162) {
tmp = pow(x_46_re, y_46_re) * t_0;
} else {
tmp = pow(x_46_im, y_46_re) * t_0;
}
return tmp;
}
real(8) function code(x_46re, x_46im, y_46re, y_46im)
real(8), intent (in) :: x_46re
real(8), intent (in) :: x_46im
real(8), intent (in) :: y_46re
real(8), intent (in) :: y_46im
real(8) :: t_0
real(8) :: tmp
t_0 = sin((atan2(x_46im, x_46re) * y_46re))
if (x_46im <= (-8.3d-33)) then
tmp = (-x_46im ** y_46re) * t_0
else if (x_46im <= 1d-162) then
tmp = (x_46re ** y_46re) * t_0
else
tmp = (x_46im ** y_46re) * t_0
end if
code = tmp
end function
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = Math.sin((Math.atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if (x_46_im <= -8.3e-33) {
tmp = Math.pow(-x_46_im, y_46_re) * t_0;
} else if (x_46_im <= 1e-162) {
tmp = Math.pow(x_46_re, y_46_re) * t_0;
} else {
tmp = Math.pow(x_46_im, y_46_re) * t_0;
}
return tmp;
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): t_0 = math.sin((math.atan2(x_46_im, x_46_re) * y_46_re)) tmp = 0 if x_46_im <= -8.3e-33: tmp = math.pow(-x_46_im, y_46_re) * t_0 elif x_46_im <= 1e-162: tmp = math.pow(x_46_re, y_46_re) * t_0 else: tmp = math.pow(x_46_im, y_46_re) * t_0 return tmp
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = sin(Float64(atan(x_46_im, x_46_re) * y_46_re)) tmp = 0.0 if (x_46_im <= -8.3e-33) tmp = Float64((Float64(-x_46_im) ^ y_46_re) * t_0); elseif (x_46_im <= 1e-162) tmp = Float64((x_46_re ^ y_46_re) * t_0); else tmp = Float64((x_46_im ^ y_46_re) * t_0); end return tmp end
function tmp_2 = code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = sin((atan2(x_46_im, x_46_re) * y_46_re)); tmp = 0.0; if (x_46_im <= -8.3e-33) tmp = (-x_46_im ^ y_46_re) * t_0; elseif (x_46_im <= 1e-162) tmp = (x_46_re ^ y_46_re) * t_0; else tmp = (x_46_im ^ y_46_re) * t_0; end tmp_2 = tmp; end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[x$46$im, -8.3e-33], N[(N[Power[(-x$46$im), y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision], If[LessEqual[x$46$im, 1e-162], N[(N[Power[x$46$re, y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision], N[(N[Power[x$46$im, y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{if}\;x.im \leq -8.3 \cdot 10^{-33}:\\
\;\;\;\;{\left(-x.im\right)}^{y.re} \cdot t\_0\\
\mathbf{elif}\;x.im \leq 10^{-162}:\\
\;\;\;\;{x.re}^{y.re} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;{x.im}^{y.re} \cdot t\_0\\
\end{array}
\end{array}
if x.im < -8.29999999999999985e-33Initial program 26.1%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites51.7%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6439.3
Applied rewrites39.3%
Taylor expanded in x.im around -inf
Applied rewrites39.3%
if -8.29999999999999985e-33 < x.im < 9.99999999999999954e-163Initial program 49.3%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites71.3%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6446.5
Applied rewrites46.5%
Taylor expanded in x.im around 0
Applied rewrites38.9%
if 9.99999999999999954e-163 < x.im Initial program 35.2%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites56.3%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6444.4
Applied rewrites44.4%
Taylor expanded in x.re around 0
Applied rewrites41.4%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (sin (* (atan2 x.im x.re) y.re))))
(if (<= y.re -4500.0)
(* (pow x.re y.re) t_0)
(if (<= y.re 5800000000.0) (* 1.0 t_0) (* (pow x.im y.re) t_0)))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = sin((atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if (y_46_re <= -4500.0) {
tmp = pow(x_46_re, y_46_re) * t_0;
} else if (y_46_re <= 5800000000.0) {
tmp = 1.0 * t_0;
} else {
tmp = pow(x_46_im, y_46_re) * t_0;
}
return tmp;
}
real(8) function code(x_46re, x_46im, y_46re, y_46im)
real(8), intent (in) :: x_46re
real(8), intent (in) :: x_46im
real(8), intent (in) :: y_46re
real(8), intent (in) :: y_46im
real(8) :: t_0
real(8) :: tmp
t_0 = sin((atan2(x_46im, x_46re) * y_46re))
if (y_46re <= (-4500.0d0)) then
tmp = (x_46re ** y_46re) * t_0
else if (y_46re <= 5800000000.0d0) then
tmp = 1.0d0 * t_0
else
tmp = (x_46im ** y_46re) * t_0
end if
code = tmp
end function
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = Math.sin((Math.atan2(x_46_im, x_46_re) * y_46_re));
double tmp;
if (y_46_re <= -4500.0) {
tmp = Math.pow(x_46_re, y_46_re) * t_0;
} else if (y_46_re <= 5800000000.0) {
tmp = 1.0 * t_0;
} else {
tmp = Math.pow(x_46_im, y_46_re) * t_0;
}
return tmp;
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): t_0 = math.sin((math.atan2(x_46_im, x_46_re) * y_46_re)) tmp = 0 if y_46_re <= -4500.0: tmp = math.pow(x_46_re, y_46_re) * t_0 elif y_46_re <= 5800000000.0: tmp = 1.0 * t_0 else: tmp = math.pow(x_46_im, y_46_re) * t_0 return tmp
function code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = sin(Float64(atan(x_46_im, x_46_re) * y_46_re)) tmp = 0.0 if (y_46_re <= -4500.0) tmp = Float64((x_46_re ^ y_46_re) * t_0); elseif (y_46_re <= 5800000000.0) tmp = Float64(1.0 * t_0); else tmp = Float64((x_46_im ^ y_46_re) * t_0); end return tmp end
function tmp_2 = code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = sin((atan2(x_46_im, x_46_re) * y_46_re)); tmp = 0.0; if (y_46_re <= -4500.0) tmp = (x_46_re ^ y_46_re) * t_0; elseif (y_46_re <= 5800000000.0) tmp = 1.0 * t_0; else tmp = (x_46_im ^ y_46_re) * t_0; end tmp_2 = tmp; end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := Block[{t$95$0 = N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[y$46$re, -4500.0], N[(N[Power[x$46$re, y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision], If[LessEqual[y$46$re, 5800000000.0], N[(1.0 * t$95$0), $MachinePrecision], N[(N[Power[x$46$im, y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{if}\;y.re \leq -4500:\\
\;\;\;\;{x.re}^{y.re} \cdot t\_0\\
\mathbf{elif}\;y.re \leq 5800000000:\\
\;\;\;\;1 \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;{x.im}^{y.re} \cdot t\_0\\
\end{array}
\end{array}
if y.re < -4500Initial program 51.7%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites90.0%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6490.1
Applied rewrites90.1%
Taylor expanded in x.im around 0
Applied rewrites72.0%
if -4500 < y.re < 5.8e9Initial program 38.2%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites48.2%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6422.6
Applied rewrites22.6%
Taylor expanded in y.re around 0
Applied rewrites20.3%
if 5.8e9 < y.re Initial program 27.3%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites60.6%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6444.2
Applied rewrites44.2%
Taylor expanded in x.re around 0
Applied rewrites42.9%
(FPCore (x.re x.im y.re y.im) :precision binary64 (* 1.0 (sin (* (atan2 x.im x.re) y.re))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
return 1.0 * sin((atan2(x_46_im, x_46_re) * y_46_re));
}
real(8) function code(x_46re, x_46im, y_46re, y_46im)
real(8), intent (in) :: x_46re
real(8), intent (in) :: x_46im
real(8), intent (in) :: y_46re
real(8), intent (in) :: y_46im
code = 1.0d0 * sin((atan2(x_46im, x_46re) * y_46re))
end function
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
return 1.0 * Math.sin((Math.atan2(x_46_im, x_46_re) * y_46_re));
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): return 1.0 * math.sin((math.atan2(x_46_im, x_46_re) * y_46_re))
function code(x_46_re, x_46_im, y_46_re, y_46_im) return Float64(1.0 * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))) end
function tmp = code(x_46_re, x_46_im, y_46_re, y_46_im) tmp = 1.0 * sin((atan2(x_46_im, x_46_re) * y_46_re)); end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := N[(1.0 * N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 \cdot \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)
\end{array}
Initial program 38.6%
Taylor expanded in y.im around 0
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
lower-*.f64N/A
lower-cos.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
Applied rewrites61.2%
Taylor expanded in y.im around 0
*-commutativeN/A
lower-*.f64N/A
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f64N/A
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6444.0
Applied rewrites44.0%
Taylor expanded in y.re around 0
Applied rewrites13.1%
herbie shell --seed 2024331
(FPCore (x.re x.im y.re y.im)
:name "powComplex, imaginary part"
:precision binary64
(* (exp (- (* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re) (* (atan2 x.im x.re) y.im))) (sin (+ (* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.im) (* (atan2 x.im x.re) y.re)))))