
(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 18 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.im))
(t_1 (* (atan2 x.im x.re) y.re))
(t_2
(exp (- (* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re) t_0)))
(t_3 (log (hypot x.im x.re)))
(t_4 (* t_2 (fma (* 1.0 t_3) y.im (sin t_1))))
(t_5 (* t_3 y.im)))
(if (<= y.re -9.2e-63)
t_4
(if (<= y.re 1.9e-8)
(*
(/ 1.0 (exp t_0))
(sin (* (fma y.re (/ (atan2 x.im x.re) y.im) t_3) y.im)))
(if (<= y.re 1.1e+149) t_4 (* t_2 (fma t_1 (cos t_5) (sin t_5))))))))
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_im;
double t_1 = atan2(x_46_im, x_46_re) * y_46_re;
double t_2 = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - t_0));
double t_3 = log(hypot(x_46_im, x_46_re));
double t_4 = t_2 * fma((1.0 * t_3), y_46_im, sin(t_1));
double t_5 = t_3 * y_46_im;
double tmp;
if (y_46_re <= -9.2e-63) {
tmp = t_4;
} else if (y_46_re <= 1.9e-8) {
tmp = (1.0 / exp(t_0)) * sin((fma(y_46_re, (atan2(x_46_im, x_46_re) / y_46_im), t_3) * y_46_im));
} else if (y_46_re <= 1.1e+149) {
tmp = t_4;
} else {
tmp = t_2 * fma(t_1, cos(t_5), sin(t_5));
}
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_im) t_1 = Float64(atan(x_46_im, x_46_re) * y_46_re) t_2 = exp(Float64(Float64(log(sqrt(Float64(Float64(x_46_re * x_46_re) + Float64(x_46_im * x_46_im)))) * y_46_re) - t_0)) t_3 = log(hypot(x_46_im, x_46_re)) t_4 = Float64(t_2 * fma(Float64(1.0 * t_3), y_46_im, sin(t_1))) t_5 = Float64(t_3 * y_46_im) tmp = 0.0 if (y_46_re <= -9.2e-63) tmp = t_4; elseif (y_46_re <= 1.9e-8) tmp = Float64(Float64(1.0 / exp(t_0)) * sin(Float64(fma(y_46_re, Float64(atan(x_46_im, x_46_re) / y_46_im), t_3) * y_46_im))); elseif (y_46_re <= 1.1e+149) tmp = t_4; else tmp = Float64(t_2 * fma(t_1, cos(t_5), sin(t_5))); 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$46$im), $MachinePrecision]}, Block[{t$95$1 = N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]}, Block[{t$95$2 = 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$0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$2 * N[(N[(1.0 * t$95$3), $MachinePrecision] * y$46$im + N[Sin[t$95$1], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(t$95$3 * y$46$im), $MachinePrecision]}, If[LessEqual[y$46$re, -9.2e-63], t$95$4, If[LessEqual[y$46$re, 1.9e-8], N[(N[(1.0 / N[Exp[t$95$0], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(N[(y$46$re * N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] / y$46$im), $MachinePrecision] + t$95$3), $MachinePrecision] * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$re, 1.1e+149], t$95$4, N[(t$95$2 * N[(t$95$1 * N[Cos[t$95$5], $MachinePrecision] + N[Sin[t$95$5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im\\
t_1 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\\
t_2 := e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - t\_0}\\
t_3 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
t_4 := t\_2 \cdot \mathsf{fma}\left(1 \cdot t\_3, y.im, \sin t\_1\right)\\
t_5 := t\_3 \cdot y.im\\
\mathbf{if}\;y.re \leq -9.2 \cdot 10^{-63}:\\
\;\;\;\;t\_4\\
\mathbf{elif}\;y.re \leq 1.9 \cdot 10^{-8}:\\
\;\;\;\;\frac{1}{e^{t\_0}} \cdot \sin \left(\mathsf{fma}\left(y.re, \frac{\tan^{-1}_* \frac{x.im}{x.re}}{y.im}, t\_3\right) \cdot y.im\right)\\
\mathbf{elif}\;y.re \leq 1.1 \cdot 10^{+149}:\\
\;\;\;\;t\_4\\
\mathbf{else}:\\
\;\;\;\;t\_2 \cdot \mathsf{fma}\left(t\_1, \cos t\_5, \sin t\_5\right)\\
\end{array}
\end{array}
if y.re < -9.2e-63 or 1.90000000000000014e-8 < y.re < 1.1e149Initial program 40.8%
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 rewrites79.7%
Taylor expanded in y.re around 0
Applied rewrites83.6%
if -9.2e-63 < y.re < 1.90000000000000014e-8Initial program 49.6%
Taylor expanded in y.im around inf
*-commutativeN/A
lower-*.f64N/A
+-commutativeN/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6459.0
Applied rewrites59.0%
lift-exp.f64N/A
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
fp-cancel-sign-sub-invN/A
exp-diffN/A
lower-/.f64N/A
Applied rewrites87.4%
Taylor expanded in y.re around 0
Applied rewrites87.4%
if 1.1e149 < y.re Initial program 44.4%
Taylor expanded in y.re around 0
+-commutativeN/A
*-commutativeN/A
associate-*r*N/A
lower-fma.f64N/A
Applied rewrites75.1%
Final simplification84.1%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (* (atan2 x.im x.re) y.im)) (t_1 (log (hypot x.im x.re))))
(if (or (<= y.re -9.2e-63) (not (<= y.re 1.9e-8)))
(*
(exp (- (* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re) t_0))
(fma (* 1.0 t_1) y.im (sin (* (atan2 x.im x.re) y.re))))
(*
(/ 1.0 (exp t_0))
(sin (* (fma y.re (/ (atan2 x.im x.re) y.im) 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 = atan2(x_46_im, x_46_re) * y_46_im;
double t_1 = log(hypot(x_46_im, x_46_re));
double tmp;
if ((y_46_re <= -9.2e-63) || !(y_46_re <= 1.9e-8)) {
tmp = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - t_0)) * fma((1.0 * t_1), y_46_im, sin((atan2(x_46_im, x_46_re) * y_46_re)));
} else {
tmp = (1.0 / exp(t_0)) * sin((fma(y_46_re, (atan2(x_46_im, x_46_re) / y_46_im), t_1) * 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_im) t_1 = log(hypot(x_46_im, x_46_re)) tmp = 0.0 if ((y_46_re <= -9.2e-63) || !(y_46_re <= 1.9e-8)) 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_0)) * fma(Float64(1.0 * t_1), y_46_im, sin(Float64(atan(x_46_im, x_46_re) * y_46_re)))); else tmp = Float64(Float64(1.0 / exp(t_0)) * sin(Float64(fma(y_46_re, Float64(atan(x_46_im, x_46_re) / y_46_im), 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[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]}, Block[{t$95$1 = N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]}, If[Or[LessEqual[y$46$re, -9.2e-63], N[Not[LessEqual[y$46$re, 1.9e-8]], $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] - t$95$0), $MachinePrecision]], $MachinePrecision] * N[(N[(1.0 * t$95$1), $MachinePrecision] * y$46$im + N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / N[Exp[t$95$0], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(N[(y$46$re * N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] / y$46$im), $MachinePrecision] + t$95$1), $MachinePrecision] * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im\\
t_1 := \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\\
\mathbf{if}\;y.re \leq -9.2 \cdot 10^{-63} \lor \neg \left(y.re \leq 1.9 \cdot 10^{-8}\right):\\
\;\;\;\;e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - t\_0} \cdot \mathsf{fma}\left(1 \cdot t\_1, y.im, \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{e^{t\_0}} \cdot \sin \left(\mathsf{fma}\left(y.re, \frac{\tan^{-1}_* \frac{x.im}{x.re}}{y.im}, t\_1\right) \cdot y.im\right)\\
\end{array}
\end{array}
if y.re < -9.2e-63 or 1.90000000000000014e-8 < y.re Initial 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 rewrites74.9%
Taylor expanded in y.re around 0
Applied rewrites77.8%
if -9.2e-63 < y.re < 1.90000000000000014e-8Initial program 49.6%
Taylor expanded in y.im around inf
*-commutativeN/A
lower-*.f64N/A
+-commutativeN/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6459.0
Applied rewrites59.0%
lift-exp.f64N/A
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
fp-cancel-sign-sub-invN/A
exp-diffN/A
lower-/.f64N/A
Applied rewrites87.4%
Taylor expanded in y.re around 0
Applied rewrites87.4%
Final simplification82.2%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (* (atan2 x.im x.re) y.im)))
(if (or (<= y.re -2.25e+55) (not (<= y.re 40.0)))
(*
(exp (- (* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re) t_0))
(sin (* (atan2 x.im x.re) y.re)))
(*
(/ 1.0 (exp t_0))
(sin
(*
(fma y.re (/ (atan2 x.im x.re) y.im) (log (hypot x.im x.re)))
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_im;
double tmp;
if ((y_46_re <= -2.25e+55) || !(y_46_re <= 40.0)) {
tmp = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - t_0)) * sin((atan2(x_46_im, x_46_re) * y_46_re));
} else {
tmp = (1.0 / exp(t_0)) * sin((fma(y_46_re, (atan2(x_46_im, x_46_re) / y_46_im), log(hypot(x_46_im, x_46_re))) * 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_im) tmp = 0.0 if ((y_46_re <= -2.25e+55) || !(y_46_re <= 40.0)) 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_0)) * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))); else tmp = Float64(Float64(1.0 / exp(t_0)) * sin(Float64(fma(y_46_re, Float64(atan(x_46_im, x_46_re) / y_46_im), log(hypot(x_46_im, x_46_re))) * 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$46$im), $MachinePrecision]}, If[Or[LessEqual[y$46$re, -2.25e+55], N[Not[LessEqual[y$46$re, 40.0]], $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] - t$95$0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / N[Exp[t$95$0], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(N[(y$46$re * N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] / y$46$im), $MachinePrecision] + N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im\\
\mathbf{if}\;y.re \leq -2.25 \cdot 10^{+55} \lor \neg \left(y.re \leq 40\right):\\
\;\;\;\;e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - t\_0} \cdot \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{e^{t\_0}} \cdot \sin \left(\mathsf{fma}\left(y.re, \frac{\tan^{-1}_* \frac{x.im}{x.re}}{y.im}, \log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)\right) \cdot y.im\right)\\
\end{array}
\end{array}
if y.re < -2.24999999999999999e55 or 40 < y.re Initial program 42.7%
Taylor expanded in y.im around 0
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6475.8
Applied rewrites75.8%
if -2.24999999999999999e55 < y.re < 40Initial program 47.7%
Taylor expanded in y.im around inf
*-commutativeN/A
lower-*.f64N/A
+-commutativeN/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6460.7
Applied rewrites60.7%
lift-exp.f64N/A
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
fp-cancel-sign-sub-invN/A
exp-diffN/A
lower-/.f64N/A
Applied rewrites86.6%
Taylor expanded in y.re around 0
Applied rewrites83.8%
Final simplification79.9%
(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.im -61.0)
(* t_1 (sin (* t_0 y.im)))
(if (<= y.im 5.7e+26)
(*
(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 (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) {
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_im <= -61.0) {
tmp = t_1 * sin((t_0 * y_46_im));
} else if (y_46_im <= 5.7e+26) {
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 * sin((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 = 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_im <= -61.0) tmp = Float64(t_1 * sin(Float64(t_0 * y_46_im))); elseif (y_46_im <= 5.7e+26) 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 = Float64(t_1 * sin(Float64(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[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$46$im, -61.0], N[(t$95$1 * N[Sin[N[(t$95$0 * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$im, 5.7e+26], 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], N[(t$95$1 * N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $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.im \leq -61:\\
\;\;\;\;t\_1 \cdot \sin \left(t\_0 \cdot y.im\right)\\
\mathbf{elif}\;y.im \leq 5.7 \cdot 10^{+26}:\\
\;\;\;\;{\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 \cdot \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\end{array}
\end{array}
if y.im < -61Initial program 47.7%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6471.7
Applied rewrites71.7%
if -61 < y.im < 5.7000000000000003e26Initial program 45.8%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6445.8
Applied rewrites45.8%
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.f6487.1
Applied rewrites87.1%
if 5.7000000000000003e26 < y.im Initial program 41.7%
Taylor expanded in y.im around 0
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6460.3
Applied rewrites60.3%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(if (<= y.im -0.05)
(*
(exp (* (- y.im) (atan2 x.im x.re)))
(sin (* (log (hypot x.re x.im)) y.im)))
(if (<= y.im 5.7e+26)
(*
(pow (hypot x.im x.re) y.re)
(sin
(* (fma y.im (/ (log (hypot x.im x.re)) y.re) (atan2 x.im x.re)) y.re)))
(*
(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))))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double tmp;
if (y_46_im <= -0.05) {
tmp = exp((-y_46_im * atan2(x_46_im, x_46_re))) * sin((log(hypot(x_46_re, x_46_im)) * y_46_im));
} else if (y_46_im <= 5.7e+26) {
tmp = pow(hypot(x_46_im, x_46_re), y_46_re) * sin((fma(y_46_im, (log(hypot(x_46_im, x_46_re)) / y_46_re), atan2(x_46_im, x_46_re)) * y_46_re));
} else {
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));
}
return tmp;
}
function code(x_46_re, x_46_im, y_46_re, y_46_im) tmp = 0.0 if (y_46_im <= -0.05) tmp = Float64(exp(Float64(Float64(-y_46_im) * atan(x_46_im, x_46_re))) * sin(Float64(log(hypot(x_46_re, x_46_im)) * y_46_im))); elseif (y_46_im <= 5.7e+26) tmp = Float64((hypot(x_46_im, x_46_re) ^ y_46_re) * sin(Float64(fma(y_46_im, Float64(log(hypot(x_46_im, x_46_re)) / y_46_re), atan(x_46_im, x_46_re)) * y_46_re))); else 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))); end return tmp end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := If[LessEqual[y$46$im, -0.05], N[(N[Exp[N[((-y$46$im) * N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[Log[N[Sqrt[x$46$re ^ 2 + x$46$im ^ 2], $MachinePrecision]], $MachinePrecision] * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], If[LessEqual[y$46$im, 5.7e+26], 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[(N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision] / y$46$re), $MachinePrecision] + N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $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[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;y.im \leq -0.05:\\
\;\;\;\;e^{\left(-y.im\right) \cdot \tan^{-1}_* \frac{x.im}{x.re}} \cdot \sin \left(\log \left(\mathsf{hypot}\left(x.re, x.im\right)\right) \cdot y.im\right)\\
\mathbf{elif}\;y.im \leq 5.7 \cdot 10^{+26}:\\
\;\;\;\;{\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re} \cdot \sin \left(\mathsf{fma}\left(y.im, \frac{\log \left(\mathsf{hypot}\left(x.im, x.re\right)\right)}{y.re}, \tan^{-1}_* \frac{x.im}{x.re}\right) \cdot y.re\right)\\
\mathbf{else}:\\
\;\;\;\;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)\\
\end{array}
\end{array}
if y.im < -0.050000000000000003Initial program 46.9%
Taylor expanded in x.im around inf
lower-exp.f64N/A
fp-cancel-sub-sign-invN/A
mul-1-negN/A
distribute-lft-neg-inN/A
distribute-neg-outN/A
lower-neg.f64N/A
*-commutativeN/A
lower-fma.f64N/A
log-recN/A
lower-neg.f64N/A
lower-log.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f647.9
Applied rewrites7.9%
Taylor expanded in y.re around 0
Applied rewrites34.7%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
lower-hypot.f6466.1
Applied rewrites66.1%
if -0.050000000000000003 < y.im < 5.7000000000000003e26Initial program 46.2%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6446.2
Applied rewrites46.2%
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.f6487.6
Applied rewrites87.6%
if 5.7000000000000003e26 < y.im Initial program 41.7%
Taylor expanded in y.im around 0
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6460.3
Applied rewrites60.3%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (* (atan2 x.im x.re) y.im)))
(if (or (<= y.re -2.4e-130) (not (<= y.re 40.0)))
(*
(exp (- (* (log (sqrt (+ (* x.re x.re) (* x.im x.im)))) y.re) t_0))
(sin (* (atan2 x.im x.re) y.re)))
(* (/ 1.0 (exp t_0)) (sin (* (log (hypot x.im x.re)) 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_im;
double tmp;
if ((y_46_re <= -2.4e-130) || !(y_46_re <= 40.0)) {
tmp = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - t_0)) * sin((atan2(x_46_im, x_46_re) * y_46_re));
} else {
tmp = (1.0 / exp(t_0)) * sin((log(hypot(x_46_im, x_46_re)) * y_46_im));
}
return tmp;
}
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = Math.atan2(x_46_im, x_46_re) * y_46_im;
double tmp;
if ((y_46_re <= -2.4e-130) || !(y_46_re <= 40.0)) {
tmp = Math.exp(((Math.log(Math.sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - t_0)) * Math.sin((Math.atan2(x_46_im, x_46_re) * y_46_re));
} else {
tmp = (1.0 / Math.exp(t_0)) * Math.sin((Math.log(Math.hypot(x_46_im, x_46_re)) * y_46_im));
}
return tmp;
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): t_0 = math.atan2(x_46_im, x_46_re) * y_46_im tmp = 0 if (y_46_re <= -2.4e-130) or not (y_46_re <= 40.0): tmp = math.exp(((math.log(math.sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - t_0)) * math.sin((math.atan2(x_46_im, x_46_re) * y_46_re)) else: tmp = (1.0 / math.exp(t_0)) * math.sin((math.log(math.hypot(x_46_im, x_46_re)) * 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_im) tmp = 0.0 if ((y_46_re <= -2.4e-130) || !(y_46_re <= 40.0)) 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_0)) * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))); else tmp = Float64(Float64(1.0 / exp(t_0)) * sin(Float64(log(hypot(x_46_im, x_46_re)) * y_46_im))); end return tmp end
function tmp_2 = code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = atan2(x_46_im, x_46_re) * y_46_im; tmp = 0.0; if ((y_46_re <= -2.4e-130) || ~((y_46_re <= 40.0))) tmp = exp(((log(sqrt(((x_46_re * x_46_re) + (x_46_im * x_46_im)))) * y_46_re) - t_0)) * sin((atan2(x_46_im, x_46_re) * y_46_re)); else tmp = (1.0 / exp(t_0)) * sin((log(hypot(x_46_im, x_46_re)) * y_46_im)); end tmp_2 = 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$46$im), $MachinePrecision]}, If[Or[LessEqual[y$46$re, -2.4e-130], N[Not[LessEqual[y$46$re, 40.0]], $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] - t$95$0), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(1.0 / N[Exp[t$95$0], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision] * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.im\\
\mathbf{if}\;y.re \leq -2.4 \cdot 10^{-130} \lor \neg \left(y.re \leq 40\right):\\
\;\;\;\;e^{\log \left(\sqrt{x.re \cdot x.re + x.im \cdot x.im}\right) \cdot y.re - t\_0} \cdot \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{e^{t\_0}} \cdot \sin \left(\log \left(\mathsf{hypot}\left(x.im, x.re\right)\right) \cdot y.im\right)\\
\end{array}
\end{array}
if y.re < -2.39999999999999997e-130 or 40 < y.re Initial program 43.4%
Taylor expanded in y.im around 0
lower-sin.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6472.5
Applied rewrites72.5%
if -2.39999999999999997e-130 < y.re < 40Initial program 48.1%
Taylor expanded in y.im around inf
*-commutativeN/A
lower-*.f64N/A
+-commutativeN/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6457.6
Applied rewrites57.6%
lift-exp.f64N/A
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
fp-cancel-sign-sub-invN/A
exp-diffN/A
lower-/.f64N/A
Applied rewrites85.9%
Taylor expanded in y.re around 0
Applied rewrites84.2%
Taylor expanded in y.re around 0
Applied rewrites69.3%
Final simplification71.2%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(if (or (<= y.re -4.6e+55) (not (<= y.re 59.0)))
(* (pow (hypot x.im x.re) y.re) (sin (* (atan2 x.im x.re) y.re)))
(*
(/ 1.0 (exp (* (atan2 x.im x.re) y.im)))
(sin (* (log (hypot x.im x.re)) y.im)))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double tmp;
if ((y_46_re <= -4.6e+55) || !(y_46_re <= 59.0)) {
tmp = pow(hypot(x_46_im, x_46_re), y_46_re) * sin((atan2(x_46_im, x_46_re) * y_46_re));
} else {
tmp = (1.0 / exp((atan2(x_46_im, x_46_re) * y_46_im))) * sin((log(hypot(x_46_im, x_46_re)) * y_46_im));
}
return tmp;
}
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double tmp;
if ((y_46_re <= -4.6e+55) || !(y_46_re <= 59.0)) {
tmp = Math.pow(Math.hypot(x_46_im, x_46_re), y_46_re) * Math.sin((Math.atan2(x_46_im, x_46_re) * y_46_re));
} else {
tmp = (1.0 / Math.exp((Math.atan2(x_46_im, x_46_re) * y_46_im))) * Math.sin((Math.log(Math.hypot(x_46_im, x_46_re)) * y_46_im));
}
return tmp;
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): tmp = 0 if (y_46_re <= -4.6e+55) or not (y_46_re <= 59.0): tmp = math.pow(math.hypot(x_46_im, x_46_re), y_46_re) * math.sin((math.atan2(x_46_im, x_46_re) * y_46_re)) else: tmp = (1.0 / math.exp((math.atan2(x_46_im, x_46_re) * y_46_im))) * math.sin((math.log(math.hypot(x_46_im, x_46_re)) * y_46_im)) return tmp
function code(x_46_re, x_46_im, y_46_re, y_46_im) tmp = 0.0 if ((y_46_re <= -4.6e+55) || !(y_46_re <= 59.0)) tmp = Float64((hypot(x_46_im, x_46_re) ^ y_46_re) * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))); else tmp = Float64(Float64(1.0 / exp(Float64(atan(x_46_im, x_46_re) * y_46_im))) * sin(Float64(log(hypot(x_46_im, x_46_re)) * y_46_im))); end return tmp end
function tmp_2 = code(x_46_re, x_46_im, y_46_re, y_46_im) tmp = 0.0; if ((y_46_re <= -4.6e+55) || ~((y_46_re <= 59.0))) tmp = (hypot(x_46_im, x_46_re) ^ y_46_re) * sin((atan2(x_46_im, x_46_re) * y_46_re)); else tmp = (1.0 / exp((atan2(x_46_im, x_46_re) * y_46_im))) * sin((log(hypot(x_46_im, x_46_re)) * y_46_im)); end tmp_2 = tmp; end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := If[Or[LessEqual[y$46$re, -4.6e+55], N[Not[LessEqual[y$46$re, 59.0]], $MachinePrecision]], 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], N[(N[(1.0 / N[Exp[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Sin[N[(N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision] * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;y.re \leq -4.6 \cdot 10^{+55} \lor \neg \left(y.re \leq 59\right):\\
\;\;\;\;{\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)\\
\mathbf{else}:\\
\;\;\;\;\frac{1}{e^{\tan^{-1}_* \frac{x.im}{x.re} \cdot y.im}} \cdot \sin \left(\log \left(\mathsf{hypot}\left(x.im, x.re\right)\right) \cdot y.im\right)\\
\end{array}
\end{array}
if y.re < -4.59999999999999975e55 or 59 < y.re Initial program 43.1%
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 rewrites75.6%
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.f6473.3
Applied rewrites73.3%
if -4.59999999999999975e55 < y.re < 59Initial program 47.4%
Taylor expanded in y.im around inf
*-commutativeN/A
lower-*.f64N/A
+-commutativeN/A
associate-/l*N/A
lower-fma.f64N/A
lower-/.f64N/A
lower-atan2.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6460.2
Applied rewrites60.2%
lift-exp.f64N/A
lift--.f64N/A
lift-*.f64N/A
fp-cancel-sub-sign-invN/A
fp-cancel-sign-sub-invN/A
exp-diffN/A
lower-/.f64N/A
Applied rewrites85.9%
Taylor expanded in y.re around 0
Applied rewrites83.1%
Taylor expanded in y.re around 0
Applied rewrites65.2%
Final simplification69.1%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (* (atan2 x.im x.re) y.re))
(t_1 (sin t_0))
(t_2 (pow (hypot x.im x.re) y.re))
(t_3 (* t_2 (sin (* (log (hypot x.im x.re)) y.im)))))
(if (<= y.im -3e+189)
(* (pow (fma (/ (* x.im x.im) x.re) 0.5 x.re) y.re) t_1)
(if (<= y.im -2.5e-169)
t_3
(if (<= y.im 8.2e-173)
(* t_2 t_1)
(if (<= y.im 5.5e+107)
t_3
(* t_2 (* (pow t_0 3.0) -0.16666666666666666))))))))
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 = sin(t_0);
double t_2 = pow(hypot(x_46_im, x_46_re), y_46_re);
double t_3 = t_2 * sin((log(hypot(x_46_im, x_46_re)) * y_46_im));
double tmp;
if (y_46_im <= -3e+189) {
tmp = pow(fma(((x_46_im * x_46_im) / x_46_re), 0.5, x_46_re), y_46_re) * t_1;
} else if (y_46_im <= -2.5e-169) {
tmp = t_3;
} else if (y_46_im <= 8.2e-173) {
tmp = t_2 * t_1;
} else if (y_46_im <= 5.5e+107) {
tmp = t_3;
} else {
tmp = t_2 * (pow(t_0, 3.0) * -0.16666666666666666);
}
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 = sin(t_0) t_2 = hypot(x_46_im, x_46_re) ^ y_46_re t_3 = Float64(t_2 * sin(Float64(log(hypot(x_46_im, x_46_re)) * y_46_im))) tmp = 0.0 if (y_46_im <= -3e+189) tmp = Float64((fma(Float64(Float64(x_46_im * x_46_im) / x_46_re), 0.5, x_46_re) ^ y_46_re) * t_1); elseif (y_46_im <= -2.5e-169) tmp = t_3; elseif (y_46_im <= 8.2e-173) tmp = Float64(t_2 * t_1); elseif (y_46_im <= 5.5e+107) tmp = t_3; else tmp = Float64(t_2 * Float64((t_0 ^ 3.0) * -0.16666666666666666)); 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[Sin[t$95$0], $MachinePrecision]}, Block[{t$95$2 = N[Power[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision], y$46$re], $MachinePrecision]}, Block[{t$95$3 = N[(t$95$2 * N[Sin[N[(N[Log[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision]], $MachinePrecision] * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y$46$im, -3e+189], 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$1), $MachinePrecision], If[LessEqual[y$46$im, -2.5e-169], t$95$3, If[LessEqual[y$46$im, 8.2e-173], N[(t$95$2 * t$95$1), $MachinePrecision], If[LessEqual[y$46$im, 5.5e+107], t$95$3, N[(t$95$2 * N[(N[Power[t$95$0, 3.0], $MachinePrecision] * -0.16666666666666666), $MachinePrecision]), $MachinePrecision]]]]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\\
t_1 := \sin t\_0\\
t_2 := {\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re}\\
t_3 := t\_2 \cdot \sin \left(\log \left(\mathsf{hypot}\left(x.im, x.re\right)\right) \cdot y.im\right)\\
\mathbf{if}\;y.im \leq -3 \cdot 10^{+189}:\\
\;\;\;\;{\left(\mathsf{fma}\left(\frac{x.im \cdot x.im}{x.re}, 0.5, x.re\right)\right)}^{y.re} \cdot t\_1\\
\mathbf{elif}\;y.im \leq -2.5 \cdot 10^{-169}:\\
\;\;\;\;t\_3\\
\mathbf{elif}\;y.im \leq 8.2 \cdot 10^{-173}:\\
\;\;\;\;t\_2 \cdot t\_1\\
\mathbf{elif}\;y.im \leq 5.5 \cdot 10^{+107}:\\
\;\;\;\;t\_3\\
\mathbf{else}:\\
\;\;\;\;t\_2 \cdot \left({t\_0}^{3} \cdot -0.16666666666666666\right)\\
\end{array}
\end{array}
if y.im < -2.9999999999999998e189Initial program 45.9%
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 rewrites66.9%
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.f6439.6
Applied rewrites39.6%
Taylor expanded in x.im around 0
Applied rewrites51.0%
if -2.9999999999999998e189 < y.im < -2.5000000000000001e-169 or 8.1999999999999995e-173 < y.im < 5.5000000000000003e107Initial program 45.8%
Taylor expanded in y.im around 0
lower-pow.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6441.6
Applied rewrites41.6%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
unpow2N/A
unpow2N/A
lower-hypot.f6466.0
Applied rewrites66.0%
if -2.5000000000000001e-169 < y.im < 8.1999999999999995e-173Initial program 42.0%
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 rewrites67.1%
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.f6474.1
Applied rewrites74.1%
if 5.5000000000000003e107 < y.im Initial program 46.8%
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 rewrites57.8%
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.f6430.1
Applied rewrites30.1%
Taylor expanded in y.re around 0
Applied rewrites17.3%
Taylor expanded in y.re around inf
Applied rewrites35.2%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(if (or (<= y.re -4.6e+55) (not (<= y.re 59.0)))
(* (pow (hypot x.im x.re) y.re) (sin (* (atan2 x.im x.re) y.re)))
(*
(exp (* (- y.im) (atan2 x.im x.re)))
(sin (* (log (hypot x.re x.im)) y.im)))))
double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double tmp;
if ((y_46_re <= -4.6e+55) || !(y_46_re <= 59.0)) {
tmp = pow(hypot(x_46_im, x_46_re), y_46_re) * sin((atan2(x_46_im, x_46_re) * y_46_re));
} else {
tmp = exp((-y_46_im * atan2(x_46_im, x_46_re))) * sin((log(hypot(x_46_re, x_46_im)) * y_46_im));
}
return tmp;
}
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double tmp;
if ((y_46_re <= -4.6e+55) || !(y_46_re <= 59.0)) {
tmp = Math.pow(Math.hypot(x_46_im, x_46_re), y_46_re) * Math.sin((Math.atan2(x_46_im, x_46_re) * y_46_re));
} else {
tmp = Math.exp((-y_46_im * Math.atan2(x_46_im, x_46_re))) * Math.sin((Math.log(Math.hypot(x_46_re, x_46_im)) * y_46_im));
}
return tmp;
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): tmp = 0 if (y_46_re <= -4.6e+55) or not (y_46_re <= 59.0): tmp = math.pow(math.hypot(x_46_im, x_46_re), y_46_re) * math.sin((math.atan2(x_46_im, x_46_re) * y_46_re)) else: tmp = math.exp((-y_46_im * math.atan2(x_46_im, x_46_re))) * math.sin((math.log(math.hypot(x_46_re, x_46_im)) * y_46_im)) return tmp
function code(x_46_re, x_46_im, y_46_re, y_46_im) tmp = 0.0 if ((y_46_re <= -4.6e+55) || !(y_46_re <= 59.0)) tmp = Float64((hypot(x_46_im, x_46_re) ^ y_46_re) * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))); else tmp = Float64(exp(Float64(Float64(-y_46_im) * atan(x_46_im, x_46_re))) * sin(Float64(log(hypot(x_46_re, x_46_im)) * y_46_im))); end return tmp end
function tmp_2 = code(x_46_re, x_46_im, y_46_re, y_46_im) tmp = 0.0; if ((y_46_re <= -4.6e+55) || ~((y_46_re <= 59.0))) tmp = (hypot(x_46_im, x_46_re) ^ y_46_re) * sin((atan2(x_46_im, x_46_re) * y_46_re)); else tmp = exp((-y_46_im * atan2(x_46_im, x_46_re))) * sin((log(hypot(x_46_re, x_46_im)) * y_46_im)); end tmp_2 = tmp; end
code[x$46$re_, x$46$im_, y$46$re_, y$46$im_] := If[Or[LessEqual[y$46$re, -4.6e+55], N[Not[LessEqual[y$46$re, 59.0]], $MachinePrecision]], 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], N[(N[Exp[N[((-y$46$im) * N[ArcTan[x$46$im / x$46$re], $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[Sin[N[(N[Log[N[Sqrt[x$46$re ^ 2 + x$46$im ^ 2], $MachinePrecision]], $MachinePrecision] * y$46$im), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;y.re \leq -4.6 \cdot 10^{+55} \lor \neg \left(y.re \leq 59\right):\\
\;\;\;\;{\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)\\
\mathbf{else}:\\
\;\;\;\;e^{\left(-y.im\right) \cdot \tan^{-1}_* \frac{x.im}{x.re}} \cdot \sin \left(\log \left(\mathsf{hypot}\left(x.re, x.im\right)\right) \cdot y.im\right)\\
\end{array}
\end{array}
if y.re < -4.59999999999999975e55 or 59 < y.re Initial program 43.1%
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 rewrites75.6%
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.f6473.3
Applied rewrites73.3%
if -4.59999999999999975e55 < y.re < 59Initial program 47.4%
Taylor expanded in x.im around inf
lower-exp.f64N/A
fp-cancel-sub-sign-invN/A
mul-1-negN/A
distribute-lft-neg-inN/A
distribute-neg-outN/A
lower-neg.f64N/A
*-commutativeN/A
lower-fma.f64N/A
log-recN/A
lower-neg.f64N/A
lower-log.f64N/A
*-commutativeN/A
lower-*.f64N/A
lower-atan2.f6424.0
Applied rewrites24.0%
Taylor expanded in y.re around 0
Applied rewrites47.4%
Taylor expanded in y.re around 0
*-commutativeN/A
lower-*.f64N/A
lower-log.f64N/A
+-commutativeN/A
unpow2N/A
unpow2N/A
lower-hypot.f6465.2
Applied rewrites65.2%
Final simplification69.1%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (pow (hypot x.im x.re) y.re)))
(if (or (<= y.re -1.65e-203) (not (<= y.re 5e-95)))
(* t_0 (sin (* (atan2 x.im x.re) y.re)))
(*
t_0
(*
(* (* -0.16666666666666666 (* y.re y.re)) (pow (atan2 x.im x.re) 3.0))
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);
double tmp;
if ((y_46_re <= -1.65e-203) || !(y_46_re <= 5e-95)) {
tmp = t_0 * sin((atan2(x_46_im, x_46_re) * y_46_re));
} else {
tmp = t_0 * (((-0.16666666666666666 * (y_46_re * y_46_re)) * pow(atan2(x_46_im, x_46_re), 3.0)) * y_46_re);
}
return tmp;
}
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = Math.pow(Math.hypot(x_46_im, x_46_re), y_46_re);
double tmp;
if ((y_46_re <= -1.65e-203) || !(y_46_re <= 5e-95)) {
tmp = t_0 * Math.sin((Math.atan2(x_46_im, x_46_re) * y_46_re));
} else {
tmp = t_0 * (((-0.16666666666666666 * (y_46_re * y_46_re)) * Math.pow(Math.atan2(x_46_im, x_46_re), 3.0)) * y_46_re);
}
return tmp;
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): t_0 = math.pow(math.hypot(x_46_im, x_46_re), y_46_re) tmp = 0 if (y_46_re <= -1.65e-203) or not (y_46_re <= 5e-95): tmp = t_0 * math.sin((math.atan2(x_46_im, x_46_re) * y_46_re)) else: tmp = t_0 * (((-0.16666666666666666 * (y_46_re * y_46_re)) * math.pow(math.atan2(x_46_im, x_46_re), 3.0)) * y_46_re) 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 tmp = 0.0 if ((y_46_re <= -1.65e-203) || !(y_46_re <= 5e-95)) tmp = Float64(t_0 * sin(Float64(atan(x_46_im, x_46_re) * y_46_re))); else tmp = Float64(t_0 * Float64(Float64(Float64(-0.16666666666666666 * Float64(y_46_re * y_46_re)) * (atan(x_46_im, x_46_re) ^ 3.0)) * y_46_re)); end return tmp end
function tmp_2 = 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; tmp = 0.0; if ((y_46_re <= -1.65e-203) || ~((y_46_re <= 5e-95))) tmp = t_0 * sin((atan2(x_46_im, x_46_re) * y_46_re)); else tmp = t_0 * (((-0.16666666666666666 * (y_46_re * y_46_re)) * (atan2(x_46_im, x_46_re) ^ 3.0)) * y_46_re); end tmp_2 = 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]}, If[Or[LessEqual[y$46$re, -1.65e-203], N[Not[LessEqual[y$46$re, 5e-95]], $MachinePrecision]], N[(t$95$0 * N[Sin[N[(N[ArcTan[x$46$im / x$46$re], $MachinePrecision] * y$46$re), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(t$95$0 * N[(N[(N[(-0.16666666666666666 * N[(y$46$re * y$46$re), $MachinePrecision]), $MachinePrecision] * N[Power[N[ArcTan[x$46$im / x$46$re], $MachinePrecision], 3.0], $MachinePrecision]), $MachinePrecision] * y$46$re), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := {\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re}\\
\mathbf{if}\;y.re \leq -1.65 \cdot 10^{-203} \lor \neg \left(y.re \leq 5 \cdot 10^{-95}\right):\\
\;\;\;\;t\_0 \cdot \sin \left(\tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\right)\\
\mathbf{else}:\\
\;\;\;\;t\_0 \cdot \left(\left(\left(-0.16666666666666666 \cdot \left(y.re \cdot y.re\right)\right) \cdot {\tan^{-1}_* \frac{x.im}{x.re}}^{3}\right) \cdot y.re\right)\\
\end{array}
\end{array}
if y.re < -1.65000000000000012e-203 or 4.9999999999999998e-95 < y.re Initial program 43.5%
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 rewrites69.8%
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.f6460.5
Applied rewrites60.5%
if -1.65000000000000012e-203 < y.re < 4.9999999999999998e-95Initial program 50.6%
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 rewrites56.2%
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.f6410.9
Applied rewrites10.9%
Taylor expanded in y.re around 0
Applied rewrites10.9%
Taylor expanded in y.re around inf
Applied rewrites28.3%
Final simplification52.3%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (* (atan2 x.im x.re) y.re)) (t_1 (pow (hypot x.im x.re) y.re)))
(if (or (<= y.re -1.65e-203) (not (<= y.re 5e-95)))
(* t_1 (sin t_0))
(* t_1 (* (pow t_0 3.0) -0.16666666666666666)))))
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 = pow(hypot(x_46_im, x_46_re), y_46_re);
double tmp;
if ((y_46_re <= -1.65e-203) || !(y_46_re <= 5e-95)) {
tmp = t_1 * sin(t_0);
} else {
tmp = t_1 * (pow(t_0, 3.0) * -0.16666666666666666);
}
return tmp;
}
public static double code(double x_46_re, double x_46_im, double y_46_re, double y_46_im) {
double t_0 = Math.atan2(x_46_im, x_46_re) * y_46_re;
double t_1 = Math.pow(Math.hypot(x_46_im, x_46_re), y_46_re);
double tmp;
if ((y_46_re <= -1.65e-203) || !(y_46_re <= 5e-95)) {
tmp = t_1 * Math.sin(t_0);
} else {
tmp = t_1 * (Math.pow(t_0, 3.0) * -0.16666666666666666);
}
return tmp;
}
def code(x_46_re, x_46_im, y_46_re, y_46_im): t_0 = math.atan2(x_46_im, x_46_re) * y_46_re t_1 = math.pow(math.hypot(x_46_im, x_46_re), y_46_re) tmp = 0 if (y_46_re <= -1.65e-203) or not (y_46_re <= 5e-95): tmp = t_1 * math.sin(t_0) else: tmp = t_1 * (math.pow(t_0, 3.0) * -0.16666666666666666) 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 = hypot(x_46_im, x_46_re) ^ y_46_re tmp = 0.0 if ((y_46_re <= -1.65e-203) || !(y_46_re <= 5e-95)) tmp = Float64(t_1 * sin(t_0)); else tmp = Float64(t_1 * Float64((t_0 ^ 3.0) * -0.16666666666666666)); end return tmp end
function tmp_2 = code(x_46_re, x_46_im, y_46_re, y_46_im) t_0 = atan2(x_46_im, x_46_re) * y_46_re; t_1 = hypot(x_46_im, x_46_re) ^ y_46_re; tmp = 0.0; if ((y_46_re <= -1.65e-203) || ~((y_46_re <= 5e-95))) tmp = t_1 * sin(t_0); else tmp = t_1 * ((t_0 ^ 3.0) * -0.16666666666666666); end tmp_2 = 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[Power[N[Sqrt[x$46$im ^ 2 + x$46$re ^ 2], $MachinePrecision], y$46$re], $MachinePrecision]}, If[Or[LessEqual[y$46$re, -1.65e-203], N[Not[LessEqual[y$46$re, 5e-95]], $MachinePrecision]], N[(t$95$1 * N[Sin[t$95$0], $MachinePrecision]), $MachinePrecision], N[(t$95$1 * N[(N[Power[t$95$0, 3.0], $MachinePrecision] * -0.16666666666666666), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \tan^{-1}_* \frac{x.im}{x.re} \cdot y.re\\
t_1 := {\left(\mathsf{hypot}\left(x.im, x.re\right)\right)}^{y.re}\\
\mathbf{if}\;y.re \leq -1.65 \cdot 10^{-203} \lor \neg \left(y.re \leq 5 \cdot 10^{-95}\right):\\
\;\;\;\;t\_1 \cdot \sin t\_0\\
\mathbf{else}:\\
\;\;\;\;t\_1 \cdot \left({t\_0}^{3} \cdot -0.16666666666666666\right)\\
\end{array}
\end{array}
if y.re < -1.65000000000000012e-203 or 4.9999999999999998e-95 < y.re Initial program 43.5%
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 rewrites69.8%
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.f6460.5
Applied rewrites60.5%
if -1.65000000000000012e-203 < y.re < 4.9999999999999998e-95Initial program 50.6%
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 rewrites56.2%
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.f6410.9
Applied rewrites10.9%
Taylor expanded in y.re around 0
Applied rewrites10.9%
Taylor expanded in y.re around inf
Applied rewrites28.3%
Final simplification52.3%
(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 -3.5e+85)
(* (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 <= -3.5e+85) {
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 <= -3.5e+85) 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, -3.5e+85], 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 -3.5 \cdot 10^{+85}:\\
\;\;\;\;{\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 < -3.50000000000000005e85Initial program 50.1%
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 rewrites69.7%
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.f6436.7
Applied rewrites36.7%
Taylor expanded in x.re around inf
Applied rewrites46.3%
if -3.50000000000000005e85 < y.im Initial program 44.3%
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 rewrites65.6%
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.f6450.3
Applied rewrites50.3%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (sin (* (atan2 x.im x.re) y.re))))
(if (<= x.re -2.2e-115)
(* (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 <= -2.2e-115) {
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 <= -2.2e-115) 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, -2.2e-115], 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 -2.2 \cdot 10^{-115}:\\
\;\;\;\;{\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 < -2.1999999999999999e-115Initial program 37.4%
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 rewrites60.5%
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.f6446.0
Applied rewrites46.0%
Taylor expanded in x.re around -inf
Applied rewrites44.8%
if -2.1999999999999999e-115 < x.re Initial program 48.9%
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 rewrites69.0%
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.f6448.8
Applied rewrites48.8%
Taylor expanded in x.im around 0
Applied rewrites44.8%
(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 -3.7e-19)
(* (pow (- x.im) y.re) t_0)
(if (<= x.im 6.2e-23)
(* (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 <= -3.7e-19) {
tmp = pow(-x_46_im, y_46_re) * t_0;
} else if (x_46_im <= 6.2e-23) {
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 <= (-3.7d-19)) then
tmp = (-x_46im ** y_46re) * t_0
else if (x_46im <= 6.2d-23) 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 <= -3.7e-19) {
tmp = Math.pow(-x_46_im, y_46_re) * t_0;
} else if (x_46_im <= 6.2e-23) {
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 <= -3.7e-19: tmp = math.pow(-x_46_im, y_46_re) * t_0 elif x_46_im <= 6.2e-23: 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 <= -3.7e-19) tmp = Float64((Float64(-x_46_im) ^ y_46_re) * t_0); elseif (x_46_im <= 6.2e-23) 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 <= -3.7e-19) tmp = (-x_46_im ^ y_46_re) * t_0; elseif (x_46_im <= 6.2e-23) 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, -3.7e-19], N[(N[Power[(-x$46$im), y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision], If[LessEqual[x$46$im, 6.2e-23], 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 -3.7 \cdot 10^{-19}:\\
\;\;\;\;{\left(-x.im\right)}^{y.re} \cdot t\_0\\
\mathbf{elif}\;x.im \leq 6.2 \cdot 10^{-23}:\\
\;\;\;\;{\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 < -3.70000000000000005e-19Initial 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 rewrites58.8%
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.f6452.9
Applied rewrites52.9%
Taylor expanded in x.im around -inf
Applied rewrites52.9%
if -3.70000000000000005e-19 < x.im < 6.1999999999999998e-23Initial program 56.2%
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 rewrites67.0%
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.f6449.1
Applied rewrites49.1%
Taylor expanded in x.re around -inf
Applied rewrites45.1%
if 6.1999999999999998e-23 < x.im Initial program 40.5%
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 rewrites72.2%
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.f6440.6
Applied rewrites40.6%
Taylor expanded in x.re around 0
Applied rewrites40.6%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (sin (* (atan2 x.im x.re) y.re))))
(if (or (<= x.re -6.2e+19) (not (<= x.re 5.4e-72)))
(* (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_re <= -6.2e+19) || !(x_46_re <= 5.4e-72)) {
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_46re <= (-6.2d+19)) .or. (.not. (x_46re <= 5.4d-72))) 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_re <= -6.2e+19) || !(x_46_re <= 5.4e-72)) {
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_re <= -6.2e+19) or not (x_46_re <= 5.4e-72): 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_re <= -6.2e+19) || !(x_46_re <= 5.4e-72)) 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_re <= -6.2e+19) || ~((x_46_re <= 5.4e-72))) 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[Or[LessEqual[x$46$re, -6.2e+19], N[Not[LessEqual[x$46$re, 5.4e-72]], $MachinePrecision]], 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.re \leq -6.2 \cdot 10^{+19} \lor \neg \left(x.re \leq 5.4 \cdot 10^{-72}\right):\\
\;\;\;\;{x.re}^{y.re} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;{x.im}^{y.re} \cdot t\_0\\
\end{array}
\end{array}
if x.re < -6.2e19 or 5.4e-72 < x.re Initial program 37.4%
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 rewrites60.8%
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.f6445.3
Applied rewrites45.3%
Taylor expanded in x.im around 0
Applied rewrites40.0%
if -6.2e19 < x.re < 5.4e-72Initial program 54.0%
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 rewrites72.3%
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.f6450.7
Applied rewrites50.7%
Taylor expanded in x.re around 0
Applied rewrites44.3%
Final simplification42.0%
(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 -3.1e-12) (not (<= y.re 1.25e+14)))
(* (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 <= -3.1e-12) || !(y_46_re <= 1.25e+14)) {
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 <= (-3.1d-12)) .or. (.not. (y_46re <= 1.25d+14))) 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 <= -3.1e-12) || !(y_46_re <= 1.25e+14)) {
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 <= -3.1e-12) or not (y_46_re <= 1.25e+14): 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 <= -3.1e-12) || !(y_46_re <= 1.25e+14)) 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 <= -3.1e-12) || ~((y_46_re <= 1.25e+14))) 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, -3.1e-12], N[Not[LessEqual[y$46$re, 1.25e+14]], $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 -3.1 \cdot 10^{-12} \lor \neg \left(y.re \leq 1.25 \cdot 10^{+14}\right):\\
\;\;\;\;{x.im}^{y.re} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;1 \cdot t\_0\\
\end{array}
\end{array}
if y.re < -3.1000000000000001e-12 or 1.25e14 < y.re Initial program 41.9%
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 rewrites74.5%
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.f6471.4
Applied rewrites71.4%
Taylor expanded in x.re around 0
Applied rewrites50.9%
if -3.1000000000000001e-12 < y.re < 1.25e14Initial program 48.8%
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 rewrites58.0%
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.f6424.0
Applied rewrites24.0%
Taylor expanded in y.re around 0
Applied rewrites21.8%
Final simplification36.5%
(FPCore (x.re x.im y.re y.im)
:precision binary64
(let* ((t_0 (sin (* (atan2 x.im x.re) y.re))))
(if (<= x.im -3.6e-19)
(* (pow (- x.im) y.re) t_0)
(if (<= x.im 1.65e-20) (* (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 <= -3.6e-19) {
tmp = pow(-x_46_im, y_46_re) * t_0;
} else if (x_46_im <= 1.65e-20) {
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 <= (-3.6d-19)) then
tmp = (-x_46im ** y_46re) * t_0
else if (x_46im <= 1.65d-20) 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 <= -3.6e-19) {
tmp = Math.pow(-x_46_im, y_46_re) * t_0;
} else if (x_46_im <= 1.65e-20) {
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 <= -3.6e-19: tmp = math.pow(-x_46_im, y_46_re) * t_0 elif x_46_im <= 1.65e-20: 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 <= -3.6e-19) tmp = Float64((Float64(-x_46_im) ^ y_46_re) * t_0); elseif (x_46_im <= 1.65e-20) 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 <= -3.6e-19) tmp = (-x_46_im ^ y_46_re) * t_0; elseif (x_46_im <= 1.65e-20) 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, -3.6e-19], N[(N[Power[(-x$46$im), y$46$re], $MachinePrecision] * t$95$0), $MachinePrecision], If[LessEqual[x$46$im, 1.65e-20], 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 -3.6 \cdot 10^{-19}:\\
\;\;\;\;{\left(-x.im\right)}^{y.re} \cdot t\_0\\
\mathbf{elif}\;x.im \leq 1.65 \cdot 10^{-20}:\\
\;\;\;\;{x.re}^{y.re} \cdot t\_0\\
\mathbf{else}:\\
\;\;\;\;{x.im}^{y.re} \cdot t\_0\\
\end{array}
\end{array}
if x.im < -3.6000000000000001e-19Initial 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 rewrites58.8%
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.f6452.9
Applied rewrites52.9%
Taylor expanded in x.im around -inf
Applied rewrites52.9%
if -3.6000000000000001e-19 < x.im < 1.65e-20Initial program 56.2%
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 rewrites67.0%
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.f6449.1
Applied rewrites49.1%
Taylor expanded in x.im around 0
Applied rewrites43.2%
if 1.65e-20 < x.im Initial program 40.5%
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 rewrites72.2%
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.f6440.6
Applied rewrites40.6%
Taylor expanded in x.re around 0
Applied rewrites40.6%
(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 45.3%
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 rewrites66.3%
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.f6447.9
Applied rewrites47.9%
Taylor expanded in y.re around 0
Applied rewrites13.3%
herbie shell --seed 2024340
(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)))))