
(FPCore (ux uy maxCos) :precision binary32 (let* ((t_0 (+ (- 1.0 ux) (* ux maxCos)))) (* (sin (* (* uy 2.0) PI)) (sqrt (- 1.0 (* t_0 t_0))))))
float code(float ux, float uy, float maxCos) {
float t_0 = (1.0f - ux) + (ux * maxCos);
return sinf(((uy * 2.0f) * ((float) M_PI))) * sqrtf((1.0f - (t_0 * t_0)));
}
function code(ux, uy, maxCos) t_0 = Float32(Float32(Float32(1.0) - ux) + Float32(ux * maxCos)) return Float32(sin(Float32(Float32(uy * Float32(2.0)) * Float32(pi))) * sqrt(Float32(Float32(1.0) - Float32(t_0 * t_0)))) end
function tmp = code(ux, uy, maxCos) t_0 = (single(1.0) - ux) + (ux * maxCos); tmp = sin(((uy * single(2.0)) * single(pi))) * sqrt((single(1.0) - (t_0 * t_0))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - ux\right) + ux \cdot maxCos\\
\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - t\_0 \cdot t\_0}
\end{array}
\end{array}
Sampling outcomes in binary32 precision:
Herbie found 22 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (ux uy maxCos) :precision binary32 (let* ((t_0 (+ (- 1.0 ux) (* ux maxCos)))) (* (sin (* (* uy 2.0) PI)) (sqrt (- 1.0 (* t_0 t_0))))))
float code(float ux, float uy, float maxCos) {
float t_0 = (1.0f - ux) + (ux * maxCos);
return sinf(((uy * 2.0f) * ((float) M_PI))) * sqrtf((1.0f - (t_0 * t_0)));
}
function code(ux, uy, maxCos) t_0 = Float32(Float32(Float32(1.0) - ux) + Float32(ux * maxCos)) return Float32(sin(Float32(Float32(uy * Float32(2.0)) * Float32(pi))) * sqrt(Float32(Float32(1.0) - Float32(t_0 * t_0)))) end
function tmp = code(ux, uy, maxCos) t_0 = (single(1.0) - ux) + (ux * maxCos); tmp = sin(((uy * single(2.0)) * single(pi))) * sqrt((single(1.0) - (t_0 * t_0))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(1 - ux\right) + ux \cdot maxCos\\
\sin \left(\left(uy \cdot 2\right) \cdot \pi\right) \cdot \sqrt{1 - t\_0 \cdot t\_0}
\end{array}
\end{array}
(FPCore (ux uy maxCos)
:precision binary32
(let* ((t_0 (* (+ (* 2.0 PI) -2.0) uy))
(t_1
(pow (* ux (* (- 1.0 maxCos) (+ 2.0 (* ux (+ maxCos -1.0))))) 0.5)))
(+
(* t_1 (* (sin t_0) (cos (* 2.0 uy))))
(* t_1 (* (cos t_0) (sin (* 2.0 uy)))))))
float code(float ux, float uy, float maxCos) {
float t_0 = ((2.0f * ((float) M_PI)) + -2.0f) * uy;
float t_1 = powf((ux * ((1.0f - maxCos) * (2.0f + (ux * (maxCos + -1.0f))))), 0.5f);
return (t_1 * (sinf(t_0) * cosf((2.0f * uy)))) + (t_1 * (cosf(t_0) * sinf((2.0f * uy))));
}
function code(ux, uy, maxCos) t_0 = Float32(Float32(Float32(Float32(2.0) * Float32(pi)) + Float32(-2.0)) * uy) t_1 = Float32(ux * Float32(Float32(Float32(1.0) - maxCos) * Float32(Float32(2.0) + Float32(ux * Float32(maxCos + Float32(-1.0)))))) ^ Float32(0.5) return Float32(Float32(t_1 * Float32(sin(t_0) * cos(Float32(Float32(2.0) * uy)))) + Float32(t_1 * Float32(cos(t_0) * sin(Float32(Float32(2.0) * uy))))) end
function tmp = code(ux, uy, maxCos) t_0 = ((single(2.0) * single(pi)) + single(-2.0)) * uy; t_1 = (ux * ((single(1.0) - maxCos) * (single(2.0) + (ux * (maxCos + single(-1.0)))))) ^ single(0.5); tmp = (t_1 * (sin(t_0) * cos((single(2.0) * uy)))) + (t_1 * (cos(t_0) * sin((single(2.0) * uy)))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(2 \cdot \pi + -2\right) \cdot uy\\
t_1 := {\left(ux \cdot \left(\left(1 - maxCos\right) \cdot \left(2 + ux \cdot \left(maxCos + -1\right)\right)\right)\right)}^{0.5}\\
t\_1 \cdot \left(\sin t\_0 \cdot \cos \left(2 \cdot uy\right)\right) + t\_1 \cdot \left(\cos t\_0 \cdot \sin \left(2 \cdot uy\right)\right)
\end{array}
\end{array}
Initial program 53.3%
Applied egg-rr98.2%
associate-*l*N/A
+-rgt-identityN/A
metadata-evalN/A
associate-+l+N/A
metadata-evalN/A
distribute-lft-inN/A
+-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
associate-+r+N/A
distribute-rgt-inN/A
*-commutativeN/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
+-commutativeN/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f3298.2%
Applied egg-rr98.2%
Applied egg-rr98.2%
(FPCore (ux uy maxCos)
:precision binary32
(let* ((t_0 (* (+ (* 2.0 PI) -2.0) uy)) (t_1 (+ 2.0 (* ux (+ maxCos -1.0)))))
(+
(* (pow (* ux (* (- 1.0 maxCos) t_1)) 0.5) (* (cos t_0) (sin (* 2.0 uy))))
(*
(sin t_0)
(* (cos (* 2.0 uy)) (pow (* t_1 (* ux (- 1.0 maxCos))) 0.5))))))
float code(float ux, float uy, float maxCos) {
float t_0 = ((2.0f * ((float) M_PI)) + -2.0f) * uy;
float t_1 = 2.0f + (ux * (maxCos + -1.0f));
return (powf((ux * ((1.0f - maxCos) * t_1)), 0.5f) * (cosf(t_0) * sinf((2.0f * uy)))) + (sinf(t_0) * (cosf((2.0f * uy)) * powf((t_1 * (ux * (1.0f - maxCos))), 0.5f)));
}
function code(ux, uy, maxCos) t_0 = Float32(Float32(Float32(Float32(2.0) * Float32(pi)) + Float32(-2.0)) * uy) t_1 = Float32(Float32(2.0) + Float32(ux * Float32(maxCos + Float32(-1.0)))) return Float32(Float32((Float32(ux * Float32(Float32(Float32(1.0) - maxCos) * t_1)) ^ Float32(0.5)) * Float32(cos(t_0) * sin(Float32(Float32(2.0) * uy)))) + Float32(sin(t_0) * Float32(cos(Float32(Float32(2.0) * uy)) * (Float32(t_1 * Float32(ux * Float32(Float32(1.0) - maxCos))) ^ Float32(0.5))))) end
function tmp = code(ux, uy, maxCos) t_0 = ((single(2.0) * single(pi)) + single(-2.0)) * uy; t_1 = single(2.0) + (ux * (maxCos + single(-1.0))); tmp = (((ux * ((single(1.0) - maxCos) * t_1)) ^ single(0.5)) * (cos(t_0) * sin((single(2.0) * uy)))) + (sin(t_0) * (cos((single(2.0) * uy)) * ((t_1 * (ux * (single(1.0) - maxCos))) ^ single(0.5)))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(2 \cdot \pi + -2\right) \cdot uy\\
t_1 := 2 + ux \cdot \left(maxCos + -1\right)\\
{\left(ux \cdot \left(\left(1 - maxCos\right) \cdot t\_1\right)\right)}^{0.5} \cdot \left(\cos t\_0 \cdot \sin \left(2 \cdot uy\right)\right) + \sin t\_0 \cdot \left(\cos \left(2 \cdot uy\right) \cdot {\left(t\_1 \cdot \left(ux \cdot \left(1 - maxCos\right)\right)\right)}^{0.5}\right)
\end{array}
\end{array}
Initial program 53.3%
Applied egg-rr98.2%
associate-*l*N/A
+-rgt-identityN/A
metadata-evalN/A
associate-+l+N/A
metadata-evalN/A
distribute-lft-inN/A
+-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
associate-+r+N/A
distribute-rgt-inN/A
*-commutativeN/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
+-commutativeN/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f3298.2%
Applied egg-rr98.2%
Applied egg-rr98.2%
associate-*r*N/A
*-commutativeN/A
associate-*r*N/A
*-lowering-*.f32N/A
Applied egg-rr98.2%
Final simplification98.2%
(FPCore (ux uy maxCos)
:precision binary32
(let* ((t_0 (* ux (- 1.0 maxCos))))
(*
(sin (+ (* (+ (* 2.0 PI) -2.0) uy) (* 2.0 uy)))
(sqrt (+ (* (* ux (+ maxCos -1.0)) t_0) (+ t_0 t_0))))))
float code(float ux, float uy, float maxCos) {
float t_0 = ux * (1.0f - maxCos);
return sinf(((((2.0f * ((float) M_PI)) + -2.0f) * uy) + (2.0f * uy))) * sqrtf((((ux * (maxCos + -1.0f)) * t_0) + (t_0 + t_0)));
}
function code(ux, uy, maxCos) t_0 = Float32(ux * Float32(Float32(1.0) - maxCos)) return Float32(sin(Float32(Float32(Float32(Float32(Float32(2.0) * Float32(pi)) + Float32(-2.0)) * uy) + Float32(Float32(2.0) * uy))) * sqrt(Float32(Float32(Float32(ux * Float32(maxCos + Float32(-1.0))) * t_0) + Float32(t_0 + t_0)))) end
function tmp = code(ux, uy, maxCos) t_0 = ux * (single(1.0) - maxCos); tmp = sin(((((single(2.0) * single(pi)) + single(-2.0)) * uy) + (single(2.0) * uy))) * sqrt((((ux * (maxCos + single(-1.0))) * t_0) + (t_0 + t_0))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := ux \cdot \left(1 - maxCos\right)\\
\sin \left(\left(2 \cdot \pi + -2\right) \cdot uy + 2 \cdot uy\right) \cdot \sqrt{\left(ux \cdot \left(maxCos + -1\right)\right) \cdot t\_0 + \left(t\_0 + t\_0\right)}
\end{array}
\end{array}
Initial program 53.3%
Applied egg-rr98.2%
associate-*l*N/A
+-rgt-identityN/A
metadata-evalN/A
associate-+l+N/A
metadata-evalN/A
distribute-lft-inN/A
+-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
associate-+r+N/A
distribute-rgt-inN/A
*-commutativeN/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
+-commutativeN/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f3298.2%
Applied egg-rr98.2%
Final simplification98.2%
(FPCore (ux uy maxCos)
:precision binary32
(let* ((t_0 (* ux (- 1.0 maxCos))))
(*
(sqrt (+ (* (* ux (+ maxCos -1.0)) t_0) (+ t_0 t_0)))
(sin (* PI (* 2.0 uy))))))
float code(float ux, float uy, float maxCos) {
float t_0 = ux * (1.0f - maxCos);
return sqrtf((((ux * (maxCos + -1.0f)) * t_0) + (t_0 + t_0))) * sinf((((float) M_PI) * (2.0f * uy)));
}
function code(ux, uy, maxCos) t_0 = Float32(ux * Float32(Float32(1.0) - maxCos)) return Float32(sqrt(Float32(Float32(Float32(ux * Float32(maxCos + Float32(-1.0))) * t_0) + Float32(t_0 + t_0))) * sin(Float32(Float32(pi) * Float32(Float32(2.0) * uy)))) end
function tmp = code(ux, uy, maxCos) t_0 = ux * (single(1.0) - maxCos); tmp = sqrt((((ux * (maxCos + single(-1.0))) * t_0) + (t_0 + t_0))) * sin((single(pi) * (single(2.0) * uy))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := ux \cdot \left(1 - maxCos\right)\\
\sqrt{\left(ux \cdot \left(maxCos + -1\right)\right) \cdot t\_0 + \left(t\_0 + t\_0\right)} \cdot \sin \left(\pi \cdot \left(2 \cdot uy\right)\right)
\end{array}
\end{array}
Initial program 53.3%
Applied egg-rr98.2%
Final simplification98.2%
(FPCore (ux uy maxCos)
:precision binary32
(*
(sin (* PI (* 2.0 uy)))
(sqrt
(+
(* (* ux (+ maxCos -1.0)) (* ux (- 1.0 maxCos)))
(+ ux (* ux (- (- 1.0 maxCos) maxCos)))))))
float code(float ux, float uy, float maxCos) {
return sinf((((float) M_PI) * (2.0f * uy))) * sqrtf((((ux * (maxCos + -1.0f)) * (ux * (1.0f - maxCos))) + (ux + (ux * ((1.0f - maxCos) - maxCos)))));
}
function code(ux, uy, maxCos) return Float32(sin(Float32(Float32(pi) * Float32(Float32(2.0) * uy))) * sqrt(Float32(Float32(Float32(ux * Float32(maxCos + Float32(-1.0))) * Float32(ux * Float32(Float32(1.0) - maxCos))) + Float32(ux + Float32(ux * Float32(Float32(Float32(1.0) - maxCos) - maxCos)))))) end
function tmp = code(ux, uy, maxCos) tmp = sin((single(pi) * (single(2.0) * uy))) * sqrt((((ux * (maxCos + single(-1.0))) * (ux * (single(1.0) - maxCos))) + (ux + (ux * ((single(1.0) - maxCos) - maxCos))))); end
\begin{array}{l}
\\
\sin \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{\left(ux \cdot \left(maxCos + -1\right)\right) \cdot \left(ux \cdot \left(1 - maxCos\right)\right) + \left(ux + ux \cdot \left(\left(1 - maxCos\right) - maxCos\right)\right)}
\end{array}
Initial program 53.3%
Applied egg-rr98.2%
distribute-lft-outN/A
sub-negN/A
associate-+l+N/A
distribute-rgt-inN/A
*-lft-identityN/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
associate-+r-N/A
+-commutativeN/A
sub-negN/A
--lowering--.f32N/A
--lowering--.f3298.1%
Applied egg-rr98.1%
Final simplification98.1%
(FPCore (ux uy maxCos)
:precision binary32
(*
(sin (* PI (* 2.0 uy)))
(sqrt
(*
ux
(+ (- 2.0 (* (+ maxCos -1.0) (* ux (+ maxCos -1.0)))) (* maxCos -2.0))))))
float code(float ux, float uy, float maxCos) {
return sinf((((float) M_PI) * (2.0f * uy))) * sqrtf((ux * ((2.0f - ((maxCos + -1.0f) * (ux * (maxCos + -1.0f)))) + (maxCos * -2.0f))));
}
function code(ux, uy, maxCos) return Float32(sin(Float32(Float32(pi) * Float32(Float32(2.0) * uy))) * sqrt(Float32(ux * Float32(Float32(Float32(2.0) - Float32(Float32(maxCos + Float32(-1.0)) * Float32(ux * Float32(maxCos + Float32(-1.0))))) + Float32(maxCos * Float32(-2.0)))))) end
function tmp = code(ux, uy, maxCos) tmp = sin((single(pi) * (single(2.0) * uy))) * sqrt((ux * ((single(2.0) - ((maxCos + single(-1.0)) * (ux * (maxCos + single(-1.0))))) + (maxCos * single(-2.0))))); end
\begin{array}{l}
\\
\sin \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{ux \cdot \left(\left(2 - \left(maxCos + -1\right) \cdot \left(ux \cdot \left(maxCos + -1\right)\right)\right) + maxCos \cdot -2\right)}
\end{array}
Initial program 53.3%
Taylor expanded in ux around 0
*-lowering-*.f32N/A
cancel-sign-sub-invN/A
metadata-evalN/A
+-lowering-+.f32N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f32N/A
unpow2N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f32N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f32N/A
*-commutativeN/A
*-lowering-*.f3298.1%
Simplified98.1%
Final simplification98.1%
(FPCore (ux uy maxCos)
:precision binary32
(*
(sin (* (* 2.0 PI) uy))
(sqrt
(*
ux
(+ (- 1.0 maxCos) (* (+ maxCos -1.0) (+ -1.0 (* ux (- 1.0 maxCos)))))))))
float code(float ux, float uy, float maxCos) {
return sinf(((2.0f * ((float) M_PI)) * uy)) * sqrtf((ux * ((1.0f - maxCos) + ((maxCos + -1.0f) * (-1.0f + (ux * (1.0f - maxCos)))))));
}
function code(ux, uy, maxCos) return Float32(sin(Float32(Float32(Float32(2.0) * Float32(pi)) * uy)) * sqrt(Float32(ux * Float32(Float32(Float32(1.0) - maxCos) + Float32(Float32(maxCos + Float32(-1.0)) * Float32(Float32(-1.0) + Float32(ux * Float32(Float32(1.0) - maxCos)))))))) end
function tmp = code(ux, uy, maxCos) tmp = sin(((single(2.0) * single(pi)) * uy)) * sqrt((ux * ((single(1.0) - maxCos) + ((maxCos + single(-1.0)) * (single(-1.0) + (ux * (single(1.0) - maxCos))))))); end
\begin{array}{l}
\\
\sin \left(\left(2 \cdot \pi\right) \cdot uy\right) \cdot \sqrt{ux \cdot \left(\left(1 - maxCos\right) + \left(maxCos + -1\right) \cdot \left(-1 + ux \cdot \left(1 - maxCos\right)\right)\right)}
\end{array}
Initial program 53.3%
Simplified53.4%
Taylor expanded in ux around 0
*-lowering-*.f32N/A
+-commutativeN/A
associate--l+N/A
+-lowering-+.f32N/A
Simplified98.1%
Final simplification98.1%
(FPCore (ux uy maxCos) :precision binary32 (* (sin (* PI (* 2.0 uy))) (sqrt (* (- 1.0 maxCos) (* ux (+ 2.0 (* ux (+ maxCos -1.0))))))))
float code(float ux, float uy, float maxCos) {
return sinf((((float) M_PI) * (2.0f * uy))) * sqrtf(((1.0f - maxCos) * (ux * (2.0f + (ux * (maxCos + -1.0f))))));
}
function code(ux, uy, maxCos) return Float32(sin(Float32(Float32(pi) * Float32(Float32(2.0) * uy))) * sqrt(Float32(Float32(Float32(1.0) - maxCos) * Float32(ux * Float32(Float32(2.0) + Float32(ux * Float32(maxCos + Float32(-1.0)))))))) end
function tmp = code(ux, uy, maxCos) tmp = sin((single(pi) * (single(2.0) * uy))) * sqrt(((single(1.0) - maxCos) * (ux * (single(2.0) + (ux * (maxCos + single(-1.0))))))); end
\begin{array}{l}
\\
\sin \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{\left(1 - maxCos\right) \cdot \left(ux \cdot \left(2 + ux \cdot \left(maxCos + -1\right)\right)\right)}
\end{array}
Initial program 53.3%
Applied egg-rr98.2%
count-2N/A
distribute-rgt-outN/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f32N/A
--lowering--.f32N/A
*-lowering-*.f32N/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
+-lowering-+.f3298.1%
Applied egg-rr98.1%
Final simplification98.1%
(FPCore (ux uy maxCos)
:precision binary32
(let* ((t_0 (* ux (- 1.0 maxCos))))
(if (<= (* 2.0 uy) 0.02500000037252903)
(*
(sqrt (+ (* (* ux (+ maxCos -1.0)) t_0) (+ t_0 t_0)))
(*
uy
(+ (* 2.0 PI) (* (* -1.3333333333333333 (* uy uy)) (* PI (* PI PI))))))
(* (sin (* PI (* 2.0 uy))) (sqrt (* ux (- 2.0 ux)))))))
float code(float ux, float uy, float maxCos) {
float t_0 = ux * (1.0f - maxCos);
float tmp;
if ((2.0f * uy) <= 0.02500000037252903f) {
tmp = sqrtf((((ux * (maxCos + -1.0f)) * t_0) + (t_0 + t_0))) * (uy * ((2.0f * ((float) M_PI)) + ((-1.3333333333333333f * (uy * uy)) * (((float) M_PI) * (((float) M_PI) * ((float) M_PI))))));
} else {
tmp = sinf((((float) M_PI) * (2.0f * uy))) * sqrtf((ux * (2.0f - ux)));
}
return tmp;
}
function code(ux, uy, maxCos) t_0 = Float32(ux * Float32(Float32(1.0) - maxCos)) tmp = Float32(0.0) if (Float32(Float32(2.0) * uy) <= Float32(0.02500000037252903)) tmp = Float32(sqrt(Float32(Float32(Float32(ux * Float32(maxCos + Float32(-1.0))) * t_0) + Float32(t_0 + t_0))) * Float32(uy * Float32(Float32(Float32(2.0) * Float32(pi)) + Float32(Float32(Float32(-1.3333333333333333) * Float32(uy * uy)) * Float32(Float32(pi) * Float32(Float32(pi) * Float32(pi))))))); else tmp = Float32(sin(Float32(Float32(pi) * Float32(Float32(2.0) * uy))) * sqrt(Float32(ux * Float32(Float32(2.0) - ux)))); end return tmp end
function tmp_2 = code(ux, uy, maxCos) t_0 = ux * (single(1.0) - maxCos); tmp = single(0.0); if ((single(2.0) * uy) <= single(0.02500000037252903)) tmp = sqrt((((ux * (maxCos + single(-1.0))) * t_0) + (t_0 + t_0))) * (uy * ((single(2.0) * single(pi)) + ((single(-1.3333333333333333) * (uy * uy)) * (single(pi) * (single(pi) * single(pi)))))); else tmp = sin((single(pi) * (single(2.0) * uy))) * sqrt((ux * (single(2.0) - ux))); end tmp_2 = tmp; end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := ux \cdot \left(1 - maxCos\right)\\
\mathbf{if}\;2 \cdot uy \leq 0.02500000037252903:\\
\;\;\;\;\sqrt{\left(ux \cdot \left(maxCos + -1\right)\right) \cdot t\_0 + \left(t\_0 + t\_0\right)} \cdot \left(uy \cdot \left(2 \cdot \pi + \left(-1.3333333333333333 \cdot \left(uy \cdot uy\right)\right) \cdot \left(\pi \cdot \left(\pi \cdot \pi\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sin \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{ux \cdot \left(2 - ux\right)}\\
\end{array}
\end{array}
if (*.f32 uy #s(literal 2 binary32)) < 0.0250000004Initial program 53.9%
Applied egg-rr98.5%
Taylor expanded in uy around 0
*-lowering-*.f32N/A
+-lowering-+.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
unpow2N/A
*-lowering-*.f32N/A
cube-multN/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f3298.4%
Simplified98.4%
if 0.0250000004 < (*.f32 uy #s(literal 2 binary32)) Initial program 51.1%
Applied egg-rr97.1%
Taylor expanded in maxCos around 0
+-commutativeN/A
mul-1-negN/A
unpow2N/A
distribute-lft-neg-inN/A
mul-1-negN/A
distribute-rgt-inN/A
*-lowering-*.f32N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f3289.3%
Simplified89.3%
Final simplification96.3%
(FPCore (ux uy maxCos)
:precision binary32
(let* ((t_0 (* ux (- 1.0 maxCos))))
(if (<= (* 2.0 uy) 0.05700000002980232)
(*
(sqrt (+ (* (* ux (+ maxCos -1.0)) t_0) (+ t_0 t_0)))
(*
uy
(+ (* 2.0 PI) (* (* -1.3333333333333333 (* uy uy)) (* PI (* PI PI))))))
(* (sin (* PI (* 2.0 uy))) (sqrt (* ux (- 2.0 maxCos)))))))
float code(float ux, float uy, float maxCos) {
float t_0 = ux * (1.0f - maxCos);
float tmp;
if ((2.0f * uy) <= 0.05700000002980232f) {
tmp = sqrtf((((ux * (maxCos + -1.0f)) * t_0) + (t_0 + t_0))) * (uy * ((2.0f * ((float) M_PI)) + ((-1.3333333333333333f * (uy * uy)) * (((float) M_PI) * (((float) M_PI) * ((float) M_PI))))));
} else {
tmp = sinf((((float) M_PI) * (2.0f * uy))) * sqrtf((ux * (2.0f - maxCos)));
}
return tmp;
}
function code(ux, uy, maxCos) t_0 = Float32(ux * Float32(Float32(1.0) - maxCos)) tmp = Float32(0.0) if (Float32(Float32(2.0) * uy) <= Float32(0.05700000002980232)) tmp = Float32(sqrt(Float32(Float32(Float32(ux * Float32(maxCos + Float32(-1.0))) * t_0) + Float32(t_0 + t_0))) * Float32(uy * Float32(Float32(Float32(2.0) * Float32(pi)) + Float32(Float32(Float32(-1.3333333333333333) * Float32(uy * uy)) * Float32(Float32(pi) * Float32(Float32(pi) * Float32(pi))))))); else tmp = Float32(sin(Float32(Float32(pi) * Float32(Float32(2.0) * uy))) * sqrt(Float32(ux * Float32(Float32(2.0) - maxCos)))); end return tmp end
function tmp_2 = code(ux, uy, maxCos) t_0 = ux * (single(1.0) - maxCos); tmp = single(0.0); if ((single(2.0) * uy) <= single(0.05700000002980232)) tmp = sqrt((((ux * (maxCos + single(-1.0))) * t_0) + (t_0 + t_0))) * (uy * ((single(2.0) * single(pi)) + ((single(-1.3333333333333333) * (uy * uy)) * (single(pi) * (single(pi) * single(pi)))))); else tmp = sin((single(pi) * (single(2.0) * uy))) * sqrt((ux * (single(2.0) - maxCos))); end tmp_2 = tmp; end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := ux \cdot \left(1 - maxCos\right)\\
\mathbf{if}\;2 \cdot uy \leq 0.05700000002980232:\\
\;\;\;\;\sqrt{\left(ux \cdot \left(maxCos + -1\right)\right) \cdot t\_0 + \left(t\_0 + t\_0\right)} \cdot \left(uy \cdot \left(2 \cdot \pi + \left(-1.3333333333333333 \cdot \left(uy \cdot uy\right)\right) \cdot \left(\pi \cdot \left(\pi \cdot \pi\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sin \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{ux \cdot \left(2 - maxCos\right)}\\
\end{array}
\end{array}
if (*.f32 uy #s(literal 2 binary32)) < 0.057Initial program 54.5%
Applied egg-rr98.5%
Taylor expanded in uy around 0
*-lowering-*.f32N/A
+-lowering-+.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
unpow2N/A
*-lowering-*.f32N/A
cube-multN/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f3297.8%
Simplified97.8%
if 0.057 < (*.f32 uy #s(literal 2 binary32)) Initial program 48.1%
sub-negN/A
+-commutativeN/A
distribute-rgt-neg-inN/A
sub-negN/A
neg-mul-1N/A
associate-+l+N/A
*-commutativeN/A
distribute-rgt-inN/A
+-commutativeN/A
mul-1-negN/A
*-commutativeN/A
fma-defineN/A
fma-lowering-fma.f32N/A
Applied egg-rr48.3%
Taylor expanded in ux around 0
*-lowering-*.f32N/A
--lowering--.f32N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f32N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f3281.2%
Simplified81.2%
Taylor expanded in maxCos around 0
Simplified74.6%
Final simplification93.5%
(FPCore (ux uy maxCos)
:precision binary32
(let* ((t_0 (* ux (- 1.0 maxCos))))
(if (<= (* 2.0 uy) 0.05700000002980232)
(*
(sqrt (+ (* (* ux (+ maxCos -1.0)) t_0) (+ t_0 t_0)))
(*
uy
(+ (* 2.0 PI) (* (* -1.3333333333333333 (* uy uy)) (* PI (* PI PI))))))
(* (sin (* PI (* 2.0 uy))) (sqrt (* ux 2.0))))))
float code(float ux, float uy, float maxCos) {
float t_0 = ux * (1.0f - maxCos);
float tmp;
if ((2.0f * uy) <= 0.05700000002980232f) {
tmp = sqrtf((((ux * (maxCos + -1.0f)) * t_0) + (t_0 + t_0))) * (uy * ((2.0f * ((float) M_PI)) + ((-1.3333333333333333f * (uy * uy)) * (((float) M_PI) * (((float) M_PI) * ((float) M_PI))))));
} else {
tmp = sinf((((float) M_PI) * (2.0f * uy))) * sqrtf((ux * 2.0f));
}
return tmp;
}
function code(ux, uy, maxCos) t_0 = Float32(ux * Float32(Float32(1.0) - maxCos)) tmp = Float32(0.0) if (Float32(Float32(2.0) * uy) <= Float32(0.05700000002980232)) tmp = Float32(sqrt(Float32(Float32(Float32(ux * Float32(maxCos + Float32(-1.0))) * t_0) + Float32(t_0 + t_0))) * Float32(uy * Float32(Float32(Float32(2.0) * Float32(pi)) + Float32(Float32(Float32(-1.3333333333333333) * Float32(uy * uy)) * Float32(Float32(pi) * Float32(Float32(pi) * Float32(pi))))))); else tmp = Float32(sin(Float32(Float32(pi) * Float32(Float32(2.0) * uy))) * sqrt(Float32(ux * Float32(2.0)))); end return tmp end
function tmp_2 = code(ux, uy, maxCos) t_0 = ux * (single(1.0) - maxCos); tmp = single(0.0); if ((single(2.0) * uy) <= single(0.05700000002980232)) tmp = sqrt((((ux * (maxCos + single(-1.0))) * t_0) + (t_0 + t_0))) * (uy * ((single(2.0) * single(pi)) + ((single(-1.3333333333333333) * (uy * uy)) * (single(pi) * (single(pi) * single(pi)))))); else tmp = sin((single(pi) * (single(2.0) * uy))) * sqrt((ux * single(2.0))); end tmp_2 = tmp; end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := ux \cdot \left(1 - maxCos\right)\\
\mathbf{if}\;2 \cdot uy \leq 0.05700000002980232:\\
\;\;\;\;\sqrt{\left(ux \cdot \left(maxCos + -1\right)\right) \cdot t\_0 + \left(t\_0 + t\_0\right)} \cdot \left(uy \cdot \left(2 \cdot \pi + \left(-1.3333333333333333 \cdot \left(uy \cdot uy\right)\right) \cdot \left(\pi \cdot \left(\pi \cdot \pi\right)\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\sin \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{ux \cdot 2}\\
\end{array}
\end{array}
if (*.f32 uy #s(literal 2 binary32)) < 0.057Initial program 54.5%
Applied egg-rr98.5%
Taylor expanded in uy around 0
*-lowering-*.f32N/A
+-lowering-+.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
unpow2N/A
*-lowering-*.f32N/A
cube-multN/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f3297.8%
Simplified97.8%
if 0.057 < (*.f32 uy #s(literal 2 binary32)) Initial program 48.1%
Taylor expanded in maxCos around 0
--lowering--.f32N/A
unpow2N/A
*-lowering-*.f32N/A
--lowering--.f32N/A
--lowering--.f3246.6%
Simplified46.6%
Taylor expanded in ux around 0
*-lowering-*.f3274.0%
Simplified74.0%
Final simplification93.4%
(FPCore (ux uy maxCos) :precision binary32 (* (sin (* PI (* 2.0 uy))) (sqrt (* (- 1.0 maxCos) (* ux (- 2.0 ux))))))
float code(float ux, float uy, float maxCos) {
return sinf((((float) M_PI) * (2.0f * uy))) * sqrtf(((1.0f - maxCos) * (ux * (2.0f - ux))));
}
function code(ux, uy, maxCos) return Float32(sin(Float32(Float32(pi) * Float32(Float32(2.0) * uy))) * sqrt(Float32(Float32(Float32(1.0) - maxCos) * Float32(ux * Float32(Float32(2.0) - ux))))) end
function tmp = code(ux, uy, maxCos) tmp = sin((single(pi) * (single(2.0) * uy))) * sqrt(((single(1.0) - maxCos) * (ux * (single(2.0) - ux)))); end
\begin{array}{l}
\\
\sin \left(\pi \cdot \left(2 \cdot uy\right)\right) \cdot \sqrt{\left(1 - maxCos\right) \cdot \left(ux \cdot \left(2 - ux\right)\right)}
\end{array}
Initial program 53.3%
Applied egg-rr98.2%
count-2N/A
distribute-rgt-outN/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f32N/A
--lowering--.f32N/A
*-lowering-*.f32N/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
+-lowering-+.f3298.1%
Applied egg-rr98.1%
Taylor expanded in maxCos around 0
*-lowering-*.f32N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f3296.6%
Simplified96.6%
Final simplification96.6%
(FPCore (ux uy maxCos)
:precision binary32
(let* ((t_0 (* ux (- 1.0 maxCos))))
(*
(sqrt (+ (* (* ux (+ maxCos -1.0)) t_0) (+ t_0 t_0)))
(*
uy
(+ (* 2.0 PI) (* (* -1.3333333333333333 (* uy uy)) (* PI (* PI PI))))))))
float code(float ux, float uy, float maxCos) {
float t_0 = ux * (1.0f - maxCos);
return sqrtf((((ux * (maxCos + -1.0f)) * t_0) + (t_0 + t_0))) * (uy * ((2.0f * ((float) M_PI)) + ((-1.3333333333333333f * (uy * uy)) * (((float) M_PI) * (((float) M_PI) * ((float) M_PI))))));
}
function code(ux, uy, maxCos) t_0 = Float32(ux * Float32(Float32(1.0) - maxCos)) return Float32(sqrt(Float32(Float32(Float32(ux * Float32(maxCos + Float32(-1.0))) * t_0) + Float32(t_0 + t_0))) * Float32(uy * Float32(Float32(Float32(2.0) * Float32(pi)) + Float32(Float32(Float32(-1.3333333333333333) * Float32(uy * uy)) * Float32(Float32(pi) * Float32(Float32(pi) * Float32(pi))))))) end
function tmp = code(ux, uy, maxCos) t_0 = ux * (single(1.0) - maxCos); tmp = sqrt((((ux * (maxCos + single(-1.0))) * t_0) + (t_0 + t_0))) * (uy * ((single(2.0) * single(pi)) + ((single(-1.3333333333333333) * (uy * uy)) * (single(pi) * (single(pi) * single(pi)))))); end
\begin{array}{l}
\\
\begin{array}{l}
t_0 := ux \cdot \left(1 - maxCos\right)\\
\sqrt{\left(ux \cdot \left(maxCos + -1\right)\right) \cdot t\_0 + \left(t\_0 + t\_0\right)} \cdot \left(uy \cdot \left(2 \cdot \pi + \left(-1.3333333333333333 \cdot \left(uy \cdot uy\right)\right) \cdot \left(\pi \cdot \left(\pi \cdot \pi\right)\right)\right)\right)
\end{array}
\end{array}
Initial program 53.3%
Applied egg-rr98.2%
Taylor expanded in uy around 0
*-lowering-*.f32N/A
+-lowering-+.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
unpow2N/A
*-lowering-*.f32N/A
cube-multN/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f3286.9%
Simplified86.9%
Final simplification86.9%
(FPCore (ux uy maxCos)
:precision binary32
(if (<= uy 0.001500000013038516)
(*
uy
(*
(* 2.0 PI)
(sqrt (* (* ux (- 1.0 maxCos)) (+ 1.0 (+ 1.0 (* ux (+ maxCos -1.0))))))))
(*
(*
uy
(+ (* 2.0 PI) (* (* -1.3333333333333333 (* uy uy)) (* PI (* PI PI)))))
(sqrt (* ux (- (- 1.0 (+ maxCos -1.0)) maxCos))))))
float code(float ux, float uy, float maxCos) {
float tmp;
if (uy <= 0.001500000013038516f) {
tmp = uy * ((2.0f * ((float) M_PI)) * sqrtf(((ux * (1.0f - maxCos)) * (1.0f + (1.0f + (ux * (maxCos + -1.0f)))))));
} else {
tmp = (uy * ((2.0f * ((float) M_PI)) + ((-1.3333333333333333f * (uy * uy)) * (((float) M_PI) * (((float) M_PI) * ((float) M_PI)))))) * sqrtf((ux * ((1.0f - (maxCos + -1.0f)) - maxCos)));
}
return tmp;
}
function code(ux, uy, maxCos) tmp = Float32(0.0) if (uy <= Float32(0.001500000013038516)) tmp = Float32(uy * Float32(Float32(Float32(2.0) * Float32(pi)) * sqrt(Float32(Float32(ux * Float32(Float32(1.0) - maxCos)) * Float32(Float32(1.0) + Float32(Float32(1.0) + Float32(ux * Float32(maxCos + Float32(-1.0))))))))); else tmp = Float32(Float32(uy * Float32(Float32(Float32(2.0) * Float32(pi)) + Float32(Float32(Float32(-1.3333333333333333) * Float32(uy * uy)) * Float32(Float32(pi) * Float32(Float32(pi) * Float32(pi)))))) * sqrt(Float32(ux * Float32(Float32(Float32(1.0) - Float32(maxCos + Float32(-1.0))) - maxCos)))); end return tmp end
function tmp_2 = code(ux, uy, maxCos) tmp = single(0.0); if (uy <= single(0.001500000013038516)) tmp = uy * ((single(2.0) * single(pi)) * sqrt(((ux * (single(1.0) - maxCos)) * (single(1.0) + (single(1.0) + (ux * (maxCos + single(-1.0)))))))); else tmp = (uy * ((single(2.0) * single(pi)) + ((single(-1.3333333333333333) * (uy * uy)) * (single(pi) * (single(pi) * single(pi)))))) * sqrt((ux * ((single(1.0) - (maxCos + single(-1.0))) - maxCos))); end tmp_2 = tmp; end
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;uy \leq 0.001500000013038516:\\
\;\;\;\;uy \cdot \left(\left(2 \cdot \pi\right) \cdot \sqrt{\left(ux \cdot \left(1 - maxCos\right)\right) \cdot \left(1 + \left(1 + ux \cdot \left(maxCos + -1\right)\right)\right)}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(uy \cdot \left(2 \cdot \pi + \left(-1.3333333333333333 \cdot \left(uy \cdot uy\right)\right) \cdot \left(\pi \cdot \left(\pi \cdot \pi\right)\right)\right)\right) \cdot \sqrt{ux \cdot \left(\left(1 - \left(maxCos + -1\right)\right) - maxCos\right)}\\
\end{array}
\end{array}
if uy < 0.00150000001Initial program 53.8%
Simplified53.9%
Taylor expanded in uy around 0
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
sqrt-lowering-sqrt.f32N/A
+-lowering-+.f32N/A
Simplified53.4%
*-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
*-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
distribute-lft-inN/A
neg-mul-1N/A
distribute-lft-neg-inN/A
metadata-evalN/A
associate-*l*N/A
neg-mul-1N/A
distribute-rgt-inN/A
Applied egg-rr59.1%
+-commutativeN/A
associate-+r+N/A
metadata-evalN/A
+-lft-identityN/A
*-commutativeN/A
distribute-lft1-inN/A
*-lowering-*.f32N/A
+-lowering-+.f32N/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
--lowering--.f3296.6%
Applied egg-rr96.6%
if 0.00150000001 < uy Initial program 52.1%
sub-negN/A
+-commutativeN/A
distribute-rgt-neg-inN/A
sub-negN/A
neg-mul-1N/A
associate-+l+N/A
*-commutativeN/A
distribute-rgt-inN/A
+-commutativeN/A
mul-1-negN/A
*-commutativeN/A
fma-defineN/A
fma-lowering-fma.f32N/A
Applied egg-rr52.5%
Taylor expanded in ux around 0
*-lowering-*.f32N/A
--lowering--.f32N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f32N/A
sub-negN/A
metadata-evalN/A
+-lowering-+.f3279.8%
Simplified79.8%
Taylor expanded in uy around 0
*-lowering-*.f32N/A
+-commutativeN/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
unpow2N/A
*-lowering-*.f32N/A
cube-multN/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
PI-lowering-PI.f3252.3%
Simplified52.3%
Final simplification83.6%
(FPCore (ux uy maxCos) :precision binary32 (* (sqrt (* (- 1.0 maxCos) (* ux (+ 2.0 (* ux (+ maxCos -1.0)))))) (* uy (+ (* 2.0 PI) (* (* -1.3333333333333333 (* uy uy)) (* PI (* PI PI)))))))
float code(float ux, float uy, float maxCos) {
return sqrtf(((1.0f - maxCos) * (ux * (2.0f + (ux * (maxCos + -1.0f)))))) * (uy * ((2.0f * ((float) M_PI)) + ((-1.3333333333333333f * (uy * uy)) * (((float) M_PI) * (((float) M_PI) * ((float) M_PI))))));
}
function code(ux, uy, maxCos) return Float32(sqrt(Float32(Float32(Float32(1.0) - maxCos) * Float32(ux * Float32(Float32(2.0) + Float32(ux * Float32(maxCos + Float32(-1.0))))))) * Float32(uy * Float32(Float32(Float32(2.0) * Float32(pi)) + Float32(Float32(Float32(-1.3333333333333333) * Float32(uy * uy)) * Float32(Float32(pi) * Float32(Float32(pi) * Float32(pi))))))) end
function tmp = code(ux, uy, maxCos) tmp = sqrt(((single(1.0) - maxCos) * (ux * (single(2.0) + (ux * (maxCos + single(-1.0))))))) * (uy * ((single(2.0) * single(pi)) + ((single(-1.3333333333333333) * (uy * uy)) * (single(pi) * (single(pi) * single(pi)))))); end
\begin{array}{l}
\\
\sqrt{\left(1 - maxCos\right) \cdot \left(ux \cdot \left(2 + ux \cdot \left(maxCos + -1\right)\right)\right)} \cdot \left(uy \cdot \left(2 \cdot \pi + \left(-1.3333333333333333 \cdot \left(uy \cdot uy\right)\right) \cdot \left(\pi \cdot \left(\pi \cdot \pi\right)\right)\right)\right)
\end{array}
Initial program 53.3%
Applied egg-rr98.2%
count-2N/A
distribute-rgt-outN/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f32N/A
--lowering--.f32N/A
*-lowering-*.f32N/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
+-lowering-+.f3298.1%
Applied egg-rr98.1%
Taylor expanded in uy around 0
*-lowering-*.f32N/A
+-commutativeN/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
unpow2N/A
*-lowering-*.f32N/A
cube-multN/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
PI-lowering-PI.f3286.9%
Simplified86.9%
Final simplification86.9%
(FPCore (ux uy maxCos) :precision binary32 (* uy (* (* 2.0 PI) (sqrt (* (* ux (- 1.0 maxCos)) (+ 1.0 (+ 1.0 (* ux (+ maxCos -1.0)))))))))
float code(float ux, float uy, float maxCos) {
return uy * ((2.0f * ((float) M_PI)) * sqrtf(((ux * (1.0f - maxCos)) * (1.0f + (1.0f + (ux * (maxCos + -1.0f)))))));
}
function code(ux, uy, maxCos) return Float32(uy * Float32(Float32(Float32(2.0) * Float32(pi)) * sqrt(Float32(Float32(ux * Float32(Float32(1.0) - maxCos)) * Float32(Float32(1.0) + Float32(Float32(1.0) + Float32(ux * Float32(maxCos + Float32(-1.0))))))))) end
function tmp = code(ux, uy, maxCos) tmp = uy * ((single(2.0) * single(pi)) * sqrt(((ux * (single(1.0) - maxCos)) * (single(1.0) + (single(1.0) + (ux * (maxCos + single(-1.0)))))))); end
\begin{array}{l}
\\
uy \cdot \left(\left(2 \cdot \pi\right) \cdot \sqrt{\left(ux \cdot \left(1 - maxCos\right)\right) \cdot \left(1 + \left(1 + ux \cdot \left(maxCos + -1\right)\right)\right)}\right)
\end{array}
Initial program 53.3%
Simplified53.4%
Taylor expanded in uy around 0
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
sqrt-lowering-sqrt.f32N/A
+-lowering-+.f32N/A
Simplified46.4%
*-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
*-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
distribute-lft-inN/A
neg-mul-1N/A
distribute-lft-neg-inN/A
metadata-evalN/A
associate-*l*N/A
neg-mul-1N/A
distribute-rgt-inN/A
Applied egg-rr52.3%
+-commutativeN/A
associate-+r+N/A
metadata-evalN/A
+-lft-identityN/A
*-commutativeN/A
distribute-lft1-inN/A
*-lowering-*.f32N/A
+-lowering-+.f32N/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
+-lowering-+.f32N/A
*-lowering-*.f32N/A
--lowering--.f3280.1%
Applied egg-rr80.1%
Final simplification80.1%
(FPCore (ux uy maxCos) :precision binary32 (* uy (* (* 2.0 PI) (sqrt (* ux (* (- 1.0 maxCos) (+ 2.0 (* ux (+ maxCos -1.0)))))))))
float code(float ux, float uy, float maxCos) {
return uy * ((2.0f * ((float) M_PI)) * sqrtf((ux * ((1.0f - maxCos) * (2.0f + (ux * (maxCos + -1.0f)))))));
}
function code(ux, uy, maxCos) return Float32(uy * Float32(Float32(Float32(2.0) * Float32(pi)) * sqrt(Float32(ux * Float32(Float32(Float32(1.0) - maxCos) * Float32(Float32(2.0) + Float32(ux * Float32(maxCos + Float32(-1.0))))))))) end
function tmp = code(ux, uy, maxCos) tmp = uy * ((single(2.0) * single(pi)) * sqrt((ux * ((single(1.0) - maxCos) * (single(2.0) + (ux * (maxCos + single(-1.0)))))))); end
\begin{array}{l}
\\
uy \cdot \left(\left(2 \cdot \pi\right) \cdot \sqrt{ux \cdot \left(\left(1 - maxCos\right) \cdot \left(2 + ux \cdot \left(maxCos + -1\right)\right)\right)}\right)
\end{array}
Initial program 53.3%
Simplified53.4%
Taylor expanded in uy around 0
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
sqrt-lowering-sqrt.f32N/A
+-lowering-+.f32N/A
Simplified46.4%
*-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
*-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
distribute-lft-inN/A
neg-mul-1N/A
distribute-lft-neg-inN/A
metadata-evalN/A
associate-*l*N/A
neg-mul-1N/A
distribute-rgt-inN/A
Applied egg-rr52.3%
+-commutativeN/A
associate-+r+N/A
metadata-evalN/A
+-lft-identityN/A
*-commutativeN/A
distribute-lft1-inN/A
associate-+r+N/A
count-2N/A
distribute-rgt-inN/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f32N/A
Applied egg-rr80.1%
Final simplification80.1%
(FPCore (ux uy maxCos) :precision binary32 (* uy (* (* 2.0 PI) (sqrt (+ (* ux (- 1.0 maxCos)) (* ux (- 1.0 ux)))))))
float code(float ux, float uy, float maxCos) {
return uy * ((2.0f * ((float) M_PI)) * sqrtf(((ux * (1.0f - maxCos)) + (ux * (1.0f - ux)))));
}
function code(ux, uy, maxCos) return Float32(uy * Float32(Float32(Float32(2.0) * Float32(pi)) * sqrt(Float32(Float32(ux * Float32(Float32(1.0) - maxCos)) + Float32(ux * Float32(Float32(1.0) - ux)))))) end
function tmp = code(ux, uy, maxCos) tmp = uy * ((single(2.0) * single(pi)) * sqrt(((ux * (single(1.0) - maxCos)) + (ux * (single(1.0) - ux))))); end
\begin{array}{l}
\\
uy \cdot \left(\left(2 \cdot \pi\right) \cdot \sqrt{ux \cdot \left(1 - maxCos\right) + ux \cdot \left(1 - ux\right)}\right)
\end{array}
Initial program 53.3%
Simplified53.4%
Taylor expanded in uy around 0
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
sqrt-lowering-sqrt.f32N/A
+-lowering-+.f32N/A
Simplified46.4%
*-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
*-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
distribute-lft-inN/A
neg-mul-1N/A
distribute-lft-neg-inN/A
metadata-evalN/A
associate-*l*N/A
neg-mul-1N/A
distribute-rgt-inN/A
Applied egg-rr52.3%
Taylor expanded in maxCos around 0
*-lowering-*.f32N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f3275.9%
Simplified75.9%
Final simplification75.9%
(FPCore (ux uy maxCos) :precision binary32 (* uy (* (* 2.0 PI) (sqrt (+ ux (* ux (- 1.0 ux)))))))
float code(float ux, float uy, float maxCos) {
return uy * ((2.0f * ((float) M_PI)) * sqrtf((ux + (ux * (1.0f - ux)))));
}
function code(ux, uy, maxCos) return Float32(uy * Float32(Float32(Float32(2.0) * Float32(pi)) * sqrt(Float32(ux + Float32(ux * Float32(Float32(1.0) - ux)))))) end
function tmp = code(ux, uy, maxCos) tmp = uy * ((single(2.0) * single(pi)) * sqrt((ux + (ux * (single(1.0) - ux))))); end
\begin{array}{l}
\\
uy \cdot \left(\left(2 \cdot \pi\right) \cdot \sqrt{ux + ux \cdot \left(1 - ux\right)}\right)
\end{array}
Initial program 53.3%
Simplified53.4%
Taylor expanded in uy around 0
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
sqrt-lowering-sqrt.f32N/A
+-lowering-+.f32N/A
Simplified46.4%
*-commutativeN/A
distribute-lft-inN/A
associate-+r+N/A
*-commutativeN/A
distribute-lft-inN/A
metadata-evalN/A
associate-+r+N/A
+-commutativeN/A
distribute-rgt-inN/A
distribute-lft-inN/A
neg-mul-1N/A
distribute-lft-neg-inN/A
metadata-evalN/A
associate-*l*N/A
neg-mul-1N/A
distribute-rgt-inN/A
Applied egg-rr52.3%
Taylor expanded in maxCos around 0
+-lowering-+.f32N/A
*-lowering-*.f32N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f3275.4%
Simplified75.4%
(FPCore (ux uy maxCos) :precision binary32 (* 2.0 (* PI (* uy (sqrt (* ux (- 2.0 ux)))))))
float code(float ux, float uy, float maxCos) {
return 2.0f * (((float) M_PI) * (uy * sqrtf((ux * (2.0f - ux)))));
}
function code(ux, uy, maxCos) return Float32(Float32(2.0) * Float32(Float32(pi) * Float32(uy * sqrt(Float32(ux * Float32(Float32(2.0) - ux)))))) end
function tmp = code(ux, uy, maxCos) tmp = single(2.0) * (single(pi) * (uy * sqrt((ux * (single(2.0) - ux))))); end
\begin{array}{l}
\\
2 \cdot \left(\pi \cdot \left(uy \cdot \sqrt{ux \cdot \left(2 - ux\right)}\right)\right)
\end{array}
Initial program 53.3%
Simplified53.4%
Taylor expanded in uy around 0
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
sqrt-lowering-sqrt.f32N/A
+-lowering-+.f32N/A
Simplified46.4%
Applied egg-rr48.5%
Taylor expanded in maxCos around 0
*-commutativeN/A
*-lowering-*.f32N/A
sqrt-lowering-sqrt.f32N/A
*-lowering-*.f32N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f3275.4%
Simplified75.4%
Final simplification75.4%
(FPCore (ux uy maxCos) :precision binary32 (* 2.0 (* (sqrt (* ux (- 2.0 ux))) (* PI uy))))
float code(float ux, float uy, float maxCos) {
return 2.0f * (sqrtf((ux * (2.0f - ux))) * (((float) M_PI) * uy));
}
function code(ux, uy, maxCos) return Float32(Float32(2.0) * Float32(sqrt(Float32(ux * Float32(Float32(2.0) - ux))) * Float32(Float32(pi) * uy))) end
function tmp = code(ux, uy, maxCos) tmp = single(2.0) * (sqrt((ux * (single(2.0) - ux))) * (single(pi) * uy)); end
\begin{array}{l}
\\
2 \cdot \left(\sqrt{ux \cdot \left(2 - ux\right)} \cdot \left(\pi \cdot uy\right)\right)
\end{array}
Initial program 53.3%
Simplified53.4%
Taylor expanded in uy around 0
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
sqrt-lowering-sqrt.f32N/A
+-lowering-+.f32N/A
Simplified46.4%
Applied egg-rr48.5%
Taylor expanded in maxCos around 0
*-lowering-*.f32N/A
sqrt-lowering-sqrt.f32N/A
*-lowering-*.f32N/A
mul-1-negN/A
unsub-negN/A
--lowering--.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f3275.3%
Simplified75.3%
Final simplification75.3%
(FPCore (ux uy maxCos) :precision binary32 0.0)
float code(float ux, float uy, float maxCos) {
return 0.0f;
}
real(4) function code(ux, uy, maxcos)
real(4), intent (in) :: ux
real(4), intent (in) :: uy
real(4), intent (in) :: maxcos
code = 0.0e0
end function
function code(ux, uy, maxCos) return Float32(0.0) end
function tmp = code(ux, uy, maxCos) tmp = single(0.0); end
\begin{array}{l}
\\
0
\end{array}
Initial program 53.3%
Simplified53.4%
Taylor expanded in uy around 0
*-commutativeN/A
associate-*l*N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f32N/A
associate-*r*N/A
*-lowering-*.f32N/A
*-lowering-*.f32N/A
PI-lowering-PI.f32N/A
sqrt-lowering-sqrt.f32N/A
+-lowering-+.f32N/A
Simplified46.4%
Taylor expanded in ux around 0
Simplified7.2%
pow1/2N/A
metadata-evalN/A
metadata-evalN/A
metadata-evalN/A
associate-*r*N/A
metadata-evalN/A
mul0-rgt7.2%
Applied egg-rr7.2%
herbie shell --seed 2024164
(FPCore (ux uy maxCos)
:name "UniformSampleCone, y"
:precision binary32
:pre (and (and (and (<= 2.328306437e-10 ux) (<= ux 1.0)) (and (<= 2.328306437e-10 uy) (<= uy 1.0))) (and (<= 0.0 maxCos) (<= maxCos 1.0)))
(* (sin (* (* uy 2.0) PI)) (sqrt (- 1.0 (* (+ (- 1.0 ux) (* ux maxCos)) (+ (- 1.0 ux) (* ux maxCos)))))))