Statistics.Distribution.Beta:$centropy from math-functions-0.1.5.2

?

Percentage Accurate: 95.2% → 97.6%
Time: 15.4s
Precision: binary64
Cost: 13888

?

\[\left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b \]
↓
\[\mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(y + -1, z, a \cdot \left(t + -1\right)\right)\right) \]
(FPCore (x y z t a b)
 :precision binary64
 (+ (- (- x (* (- y 1.0) z)) (* (- t 1.0) a)) (* (- (+ y t) 2.0) b)))
↓
(FPCore (x y z t a b)
 :precision binary64
 (fma (+ t (- y 2.0)) b (- x (fma (+ y -1.0) z (* a (+ t -1.0))))))
double code(double x, double y, double z, double t, double a, double b) {
	return ((x - ((y - 1.0) * z)) - ((t - 1.0) * a)) + (((y + t) - 2.0) * b);
}
↓
double code(double x, double y, double z, double t, double a, double b) {
	return fma((t + (y - 2.0)), b, (x - fma((y + -1.0), z, (a * (t + -1.0)))));
}

function code(x, y, z, t, a, b)
	return Float64(Float64(Float64(x - Float64(Float64(y - 1.0) * z)) - Float64(Float64(t - 1.0) * a)) + Float64(Float64(Float64(y + t) - 2.0) * b))
end
↓
function code(x, y, z, t, a, b)
	return fma(Float64(t + Float64(y - 2.0)), b, Float64(x - fma(Float64(y + -1.0), z, Float64(a * Float64(t + -1.0)))))
end

code[x_, y_, z_, t_, a_, b_] := N[(N[(N[(x - N[(N[(y - 1.0), $MachinePrecision] * z), $MachinePrecision]), $MachinePrecision] - N[(N[(t - 1.0), $MachinePrecision] * a), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(y + t), $MachinePrecision] - 2.0), $MachinePrecision] * b), $MachinePrecision]), $MachinePrecision]
↓
code[x_, y_, z_, t_, a_, b_] := N[(N[(t + N[(y - 2.0), $MachinePrecision]), $MachinePrecision] * b + N[(x - N[(N[(y + -1.0), $MachinePrecision] * z + N[(a * N[(t + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]

\left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b
↓
\mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(y + -1, z, a \cdot \left(t + -1\right)\right)\right)

Local Percentage Accuracy vs ?

The average percentage accuracy by input value. Horizontal axis shows value of an input variable; the variable is choosen in the title. Vertical axis is accuracy; higher is better. Red represent the original program, while blue represents Herbie's suggestion. These can be toggled with buttons below the plot. The line is an average while dots represent individual samples.

Herbie found 27 alternatives:

AlternativeAccuracySpeedup

Accuracy vs Speed

The accuracy (vertical axis) and speed (horizontal axis) of each alternatives. Up and to the right is better. The red square shows the initial program, and each blue circle shows an alternative.The line shows the best available speed-accuracy tradeoffs.

Bogosity?

Bogosity

Derivation?

  1. Initial program 96.8%

    \[\left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b \]

  2. Simplified99.2%

    \[\leadsto \color{blue}{\mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(y + -1, z, \left(t + -1\right) \cdot a\right)\right)} \]
    Step-by-step derivation

    [Start]96.8%

    \[ \left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b \]

    +-commutative [=>]96.8%

    \[ \color{blue}{\left(\left(y + t\right) - 2\right) \cdot b + \left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right)} \]

    fma-def [=>]98.4%

    \[ \color{blue}{\mathsf{fma}\left(\left(y + t\right) - 2, b, \left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right)} \]

    +-commutative [=>]98.4%

    \[ \mathsf{fma}\left(\color{blue}{\left(t + y\right)} - 2, b, \left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) \]

    associate--l+ [=>]98.4%

    \[ \mathsf{fma}\left(\color{blue}{t + \left(y - 2\right)}, b, \left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) \]

    sub-neg [=>]98.4%

    \[ \mathsf{fma}\left(t + \left(y - 2\right), b, \color{blue}{\left(x - \left(y - 1\right) \cdot z\right) + \left(-\left(t - 1\right) \cdot a\right)}\right) \]

    associate-+l- [=>]98.4%

    \[ \mathsf{fma}\left(t + \left(y - 2\right), b, \color{blue}{x - \left(\left(y - 1\right) \cdot z - \left(-\left(t - 1\right) \cdot a\right)\right)}\right) \]

    fma-neg [=>]99.2%

    \[ \mathsf{fma}\left(t + \left(y - 2\right), b, x - \color{blue}{\mathsf{fma}\left(y - 1, z, -\left(-\left(t - 1\right) \cdot a\right)\right)}\right) \]

    sub-neg [=>]99.2%

    \[ \mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(\color{blue}{y + \left(-1\right)}, z, -\left(-\left(t - 1\right) \cdot a\right)\right)\right) \]

    metadata-eval [=>]99.2%

    \[ \mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(y + \color{blue}{-1}, z, -\left(-\left(t - 1\right) \cdot a\right)\right)\right) \]

    distribute-lft-neg-in [=>]99.2%

    \[ \mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(y + -1, z, -\color{blue}{\left(-\left(t - 1\right)\right) \cdot a}\right)\right) \]

    distribute-lft-neg-in [=>]99.2%

    \[ \mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(y + -1, z, \color{blue}{\left(-\left(-\left(t - 1\right)\right)\right) \cdot a}\right)\right) \]

    remove-double-neg [=>]99.2%

    \[ \mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(y + -1, z, \color{blue}{\left(t - 1\right)} \cdot a\right)\right) \]

    sub-neg [=>]99.2%

    \[ \mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(y + -1, z, \color{blue}{\left(t + \left(-1\right)\right)} \cdot a\right)\right) \]

    metadata-eval [=>]99.2%

    \[ \mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(y + -1, z, \left(t + \color{blue}{-1}\right) \cdot a\right)\right) \]

  3. Final simplification99.2%

    \[\leadsto \mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(y + -1, z, a \cdot \left(t + -1\right)\right)\right) \]

Alternatives

Alternative 1
Accuracy97.6%
Cost13888
\[\mathsf{fma}\left(t + \left(y - 2\right), b, x - \mathsf{fma}\left(y + -1, z, a \cdot \left(t + -1\right)\right)\right) \]
Alternative 2
Accuracy98.0%
Cost2756
\[\begin{array}{l} t_1 := \left(\left(x + z \cdot \left(1 - y\right)\right) + a \cdot \left(1 - t\right)\right) + b \cdot \left(\left(t + y\right) - 2\right)\\ \mathbf{if}\;t_1 \leq \infty:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t \cdot \left(b - a\right)\\ \end{array} \]
Alternative 3
Accuracy64.8%
Cost1500
\[\begin{array}{l} t_1 := \left(x + a\right) - t \cdot a\\ t_2 := x + b \cdot \left(\left(t + y\right) - 2\right)\\ t_3 := x + z \cdot \left(1 - y\right)\\ \mathbf{if}\;b \leq -76000:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -2.35 \cdot 10^{-40}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -1.55 \cdot 10^{-118}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq -1.6 \cdot 10^{-134}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 1.9 \cdot 10^{-63}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq 8.2 \cdot 10^{-14}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 3.1 \cdot 10^{-6}:\\ \;\;\;\;x - y \cdot z\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 4
Accuracy53.5%
Cost1372
\[\begin{array}{l} t_1 := b \cdot \left(\left(t + y\right) - 2\right)\\ t_2 := a \cdot \left(1 - t\right)\\ t_3 := x - y \cdot z\\ \mathbf{if}\;b \leq -160000000:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -5.6 \cdot 10^{-40}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -1 \cdot 10^{-119}:\\ \;\;\;\;z \cdot \left(1 - y\right)\\ \mathbf{elif}\;b \leq -1.25 \cdot 10^{-134}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -2.1 \cdot 10^{-301}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq 2.6 \cdot 10^{-288}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 132000000000:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 5
Accuracy61.7%
Cost1372
\[\begin{array}{l} t_1 := \left(x + a\right) - t \cdot a\\ t_2 := b \cdot \left(\left(t + y\right) - 2\right)\\ t_3 := x + z \cdot \left(1 - y\right)\\ \mathbf{if}\;b \leq -310000000000:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -7.4 \cdot 10^{-41}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -1.15 \cdot 10^{-119}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq -1.55 \cdot 10^{-134}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 1.5 \cdot 10^{-64}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq 5.2 \cdot 10^{-14}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 10^{+81}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 6
Accuracy78.2%
Cost1360
\[\begin{array}{l} t_1 := z \cdot \left(1 - y\right)\\ t_2 := \left(x + t_1\right) + t \cdot \left(b - a\right)\\ t_3 := \left(x + z\right) + b \cdot \left(\left(t + y\right) - 2\right)\\ \mathbf{if}\;b \leq -9 \cdot 10^{+15}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq -3.5 \cdot 10^{-134}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 7.6 \cdot 10^{-219}:\\ \;\;\;\;\left(x + a\right) + t_1\\ \mathbf{elif}\;b \leq 4.25 \cdot 10^{+21}:\\ \;\;\;\;t_2\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]
Alternative 7
Accuracy82.5%
Cost1360
\[\begin{array}{l} t_1 := z \cdot \left(1 - y\right)\\ t_2 := x + t_1\\ t_3 := t_2 - b \cdot \left(2 - y\right)\\ t_4 := t_2 - t \cdot \left(a - b\right)\\ \mathbf{if}\;t \leq -9 \cdot 10^{+40}:\\ \;\;\;\;t_4\\ \mathbf{elif}\;t \leq -1.25 \cdot 10^{-247}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;t \leq 1.1 \cdot 10^{-257}:\\ \;\;\;\;\left(x + a\right) + t_1\\ \mathbf{elif}\;t \leq 1.25 \cdot 10^{+25}:\\ \;\;\;\;t_3\\ \mathbf{else}:\\ \;\;\;\;t_4\\ \end{array} \]
Alternative 8
Accuracy86.6%
Cost1225
\[\begin{array}{l} \mathbf{if}\;b \leq -2250000000 \lor \neg \left(b \leq 27\right):\\ \;\;\;\;\left(z + \left(x + y \cdot \left(b - z\right)\right)\right) + b \cdot \left(t - 2\right)\\ \mathbf{else}:\\ \;\;\;\;\left(x + z \cdot \left(1 - y\right)\right) + \left(a - t \cdot a\right)\\ \end{array} \]
Alternative 9
Accuracy86.5%
Cost1225
\[\begin{array}{l} t_1 := x + z \cdot \left(1 - y\right)\\ \mathbf{if}\;b \leq -410000 \lor \neg \left(b \leq 0.4\right):\\ \;\;\;\;t_1 + b \cdot \left(\left(t + y\right) - 2\right)\\ \mathbf{else}:\\ \;\;\;\;t_1 + \left(a - t \cdot a\right)\\ \end{array} \]
Alternative 10
Accuracy49.7%
Cost1112
\[\begin{array}{l} t_1 := y \cdot \left(b - z\right)\\ \mathbf{if}\;y \leq -5.7 \cdot 10^{-5}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq -4.6 \cdot 10^{-173}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;y \leq 2 \cdot 10^{-294}:\\ \;\;\;\;b \cdot \left(t - 2\right)\\ \mathbf{elif}\;y \leq 1.6 \cdot 10^{-12}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;y \leq 1.55 \cdot 10^{+43}:\\ \;\;\;\;t \cdot \left(b - a\right)\\ \mathbf{elif}\;y \leq 3.9 \cdot 10^{+56}:\\ \;\;\;\;x + z\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 11
Accuracy49.9%
Cost1112
\[\begin{array}{l} t_1 := y \cdot \left(b - z\right)\\ \mathbf{if}\;y \leq -5.7 \cdot 10^{-5}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq -3.8 \cdot 10^{-173}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;y \leq 3.8 \cdot 10^{-298}:\\ \;\;\;\;b \cdot \left(t - 2\right)\\ \mathbf{elif}\;y \leq 4.8 \cdot 10^{-14}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;y \leq 9 \cdot 10^{+42}:\\ \;\;\;\;t \cdot \left(b - a\right)\\ \mathbf{elif}\;y \leq 4.5 \cdot 10^{+56}:\\ \;\;\;\;x - y \cdot z\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 12
Accuracy61.3%
Cost1108
\[\begin{array}{l} t_1 := b \cdot \left(\left(t + y\right) - 2\right)\\ t_2 := x + z \cdot \left(1 - y\right)\\ \mathbf{if}\;b \leq -1.05 \cdot 10^{+14}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -6.4 \cdot 10^{-40}:\\ \;\;\;\;x + t \cdot \left(b - a\right)\\ \mathbf{elif}\;b \leq -5.8 \cdot 10^{-121}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -7.4 \cdot 10^{-135}:\\ \;\;\;\;a \cdot \left(1 - t\right)\\ \mathbf{elif}\;b \leq 4.3 \cdot 10^{+81}:\\ \;\;\;\;t_2\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 13
Accuracy73.7%
Cost1100
\[\begin{array}{l} t_1 := \left(x + z\right) + b \cdot \left(\left(t + y\right) - 2\right)\\ \mathbf{if}\;b \leq -1720000000000:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -6.4 \cdot 10^{-40}:\\ \;\;\;\;\left(x + z\right) + t \cdot \left(b - a\right)\\ \mathbf{elif}\;b \leq 1.35 \cdot 10^{+26}:\\ \;\;\;\;\left(x + a\right) + z \cdot \left(1 - y\right)\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 14
Accuracy85.2%
Cost1097
\[\begin{array}{l} \mathbf{if}\;b \leq -1450000000 \lor \neg \left(b \leq 2.6 \cdot 10^{+58}\right):\\ \;\;\;\;\left(x + z\right) + b \cdot \left(\left(t + y\right) - 2\right)\\ \mathbf{else}:\\ \;\;\;\;\left(x + z \cdot \left(1 - y\right)\right) + \left(a - t \cdot a\right)\\ \end{array} \]
Alternative 15
Accuracy36.9%
Cost1048
\[\begin{array}{l} t_1 := y \cdot \left(-z\right)\\ \mathbf{if}\;y \leq -620000000:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq -4.6 \cdot 10^{-173}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;y \leq 1.35 \cdot 10^{-297}:\\ \;\;\;\;b \cdot \left(t - 2\right)\\ \mathbf{elif}\;y \leq 8 \cdot 10^{-14}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;y \leq 7.6 \cdot 10^{+43}:\\ \;\;\;\;t \cdot \left(b - a\right)\\ \mathbf{elif}\;y \leq 3.2 \cdot 10^{+57}:\\ \;\;\;\;x + z\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 16
Accuracy56.8%
Cost976
\[\begin{array}{l} t_1 := x + t \cdot \left(b - a\right)\\ t_2 := y \cdot \left(b - z\right)\\ \mathbf{if}\;y \leq -2200000:\\ \;\;\;\;t_2\\ \mathbf{elif}\;y \leq 5.1 \cdot 10^{-270}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq 8 \cdot 10^{-14}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;y \leq 3.9 \cdot 10^{+56}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 17
Accuracy70.7%
Cost972
\[\begin{array}{l} t_1 := x + b \cdot \left(\left(t + y\right) - 2\right)\\ \mathbf{if}\;b \leq -950000:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -6.4 \cdot 10^{-40}:\\ \;\;\;\;\left(x + a\right) - t \cdot a\\ \mathbf{elif}\;b \leq 7 \cdot 10^{+34}:\\ \;\;\;\;\left(x + a\right) + z \cdot \left(1 - y\right)\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 18
Accuracy71.3%
Cost972
\[\begin{array}{l} t_1 := x + b \cdot \left(\left(t + y\right) - 2\right)\\ \mathbf{if}\;b \leq -2.2 \cdot 10^{+15}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -1.06 \cdot 10^{-41}:\\ \;\;\;\;\left(x + z\right) + t \cdot \left(b - a\right)\\ \mathbf{elif}\;b \leq 1.75 \cdot 10^{+34}:\\ \;\;\;\;\left(x + a\right) + z \cdot \left(1 - y\right)\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 19
Accuracy41.8%
Cost848
\[\begin{array}{l} t_1 := z \cdot \left(1 - y\right)\\ t_2 := a \cdot \left(1 - t\right)\\ \mathbf{if}\;a \leq -2.1 \cdot 10^{-34}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;a \leq -6 \cdot 10^{-123}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;a \leq -3.7 \cdot 10^{-233}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;a \leq 2.25 \cdot 10^{+137}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 20
Accuracy36.0%
Cost784
\[\begin{array}{l} t_1 := y \cdot \left(-z\right)\\ \mathbf{if}\;y \leq -7500000000:\\ \;\;\;\;t_1\\ \mathbf{elif}\;y \leq -3.7 \cdot 10^{-173}:\\ \;\;\;\;x + z\\ \mathbf{elif}\;y \leq 4.5 \cdot 10^{-294}:\\ \;\;\;\;b \cdot \left(t - 2\right)\\ \mathbf{elif}\;y \leq 2.7 \cdot 10^{+57}:\\ \;\;\;\;x + z\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 21
Accuracy21.1%
Cost592
\[\begin{array}{l} \mathbf{if}\;x \leq -3 \cdot 10^{+102}:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq -4.2 \cdot 10^{-261}:\\ \;\;\;\;a\\ \mathbf{elif}\;x \leq 3.3 \cdot 10^{-190}:\\ \;\;\;\;z\\ \mathbf{elif}\;x \leq 1.5 \cdot 10^{+65}:\\ \;\;\;\;a\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]
Alternative 22
Accuracy25.6%
Cost588
\[\begin{array}{l} \mathbf{if}\;b \leq -2.9 \cdot 10^{+244}:\\ \;\;\;\;t \cdot b\\ \mathbf{elif}\;b \leq -4500:\\ \;\;\;\;y \cdot b\\ \mathbf{elif}\;b \leq 1350000000:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;y \cdot b\\ \end{array} \]
Alternative 23
Accuracy36.7%
Cost521
\[\begin{array}{l} \mathbf{if}\;y \leq -3600000 \lor \neg \left(y \leq 3 \cdot 10^{+57}\right):\\ \;\;\;\;y \cdot \left(-z\right)\\ \mathbf{else}:\\ \;\;\;\;x + z\\ \end{array} \]
Alternative 24
Accuracy24.5%
Cost456
\[\begin{array}{l} \mathbf{if}\;b \leq -8 \cdot 10^{+161}:\\ \;\;\;\;t \cdot b\\ \mathbf{elif}\;b \leq 5800000:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;t \cdot b\\ \end{array} \]
Alternative 25
Accuracy35.3%
Cost456
\[\begin{array}{l} \mathbf{if}\;y \leq -1.05 \cdot 10^{+20}:\\ \;\;\;\;y \cdot b\\ \mathbf{elif}\;y \leq 6.7 \cdot 10^{+56}:\\ \;\;\;\;x + z\\ \mathbf{else}:\\ \;\;\;\;y \cdot b\\ \end{array} \]
Alternative 26
Accuracy21.3%
Cost328
\[\begin{array}{l} \mathbf{if}\;x \leq -6.7 \cdot 10^{+102}:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq 9.5 \cdot 10^{+64}:\\ \;\;\;\;a\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]
Alternative 27
Accuracy11.2%
Cost64
\[a \]

Reproduce?

herbie shell --seed 2023165 
(FPCore (x y z t a b)
  :name "Statistics.Distribution.Beta:$centropy from math-functions-0.1.5.2"
  :precision binary64
  (+ (- (- x (* (- y 1.0) z)) (* (- t 1.0) a)) (* (- (+ y t) 2.0) b)))