?

Average Accuracy: 100.0% → 100.0%
Time: 29.1s
Precision: binary64
Cost: 20160

?

\[\left(\left(x - \left(y - 1\right) \cdot z\right) - \left(t - 1\right) \cdot a\right) + \left(\left(y + t\right) - 2\right) \cdot b \]
↓
\[\mathsf{fma}\left(\left(y + t\right) + -2, b, \mathsf{fma}\left(1 - y, z, \mathsf{fma}\left(1 - t, a, x\right)\right)\right) \]
(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 (+ (+ y t) -2.0) b (fma (- 1.0 y) z (fma (- 1.0 t) a x))))
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(((y + t) + -2.0), b, fma((1.0 - y), z, fma((1.0 - t), a, x)));
}

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(Float64(y + t) + -2.0), b, fma(Float64(1.0 - y), z, fma(Float64(1.0 - t), a, x)))
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[(N[(y + t), $MachinePrecision] + -2.0), $MachinePrecision] * b + N[(N[(1.0 - y), $MachinePrecision] * z + N[(N[(1.0 - t), $MachinePrecision] * a + x), $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(\left(y + t\right) + -2, b, \mathsf{fma}\left(1 - y, z, \mathsf{fma}\left(1 - t, a, x\right)\right)\right)

Error?

Derivation?

  1. Initial program 100.0%

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

  2. Simplified100.0%

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

    [Start]100.0

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

    +-commutative [=>]100.0

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

    fma-def [=>]100.0

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

    sub-neg [=>]100.0

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

    metadata-eval [=>]100.0

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

    sub-neg [=>]100.0

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

    sub-neg [=>]100.0

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

    +-commutative [=>]100.0

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

    associate-+l+ [=>]100.0

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

    distribute-lft-neg-in [=>]100.0

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

    remove-double-neg [<=]100.0

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

    mul-1-neg [<=]100.0

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

    metadata-eval [<=]100.0

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

    *-commutative [<=]100.0

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

    distribute-lft-neg-in [=>]100.0

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

    +-commutative [=>]100.0

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

    fma-def [=>]100.0

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

  3. Final simplification100.0%

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

Alternatives

Alternative 1
Accuracy100.0%
Cost13888
\[\mathsf{fma}\left(y + \left(t + -2\right), b, x - \mathsf{fma}\left(y + -1, z, a \cdot \left(t + -1\right)\right)\right) \]
Alternative 2
Accuracy54.5%
Cost1900
\[\begin{array}{l} t_1 := x + z \cdot \left(1 - y\right)\\ t_2 := b \cdot \left(\left(y + t\right) + -2\right)\\ t_3 := x - a \cdot \left(t + -1\right)\\ \mathbf{if}\;b \leq -1 \cdot 10^{+223}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -1 \cdot 10^{+138}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -2.1 \cdot 10^{+111}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -3.8 \cdot 10^{+50}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq -1.35 \cdot 10^{+25}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 1.25 \cdot 10^{-271}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq 4 \cdot 10^{-249}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 6.5 \cdot 10^{-168}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq 4.2 \cdot 10^{-81}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 2.55 \cdot 10^{+14}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq 1.25 \cdot 10^{+82}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;a + b \cdot \left(y + -2\right)\\ \end{array} \]
Alternative 3
Accuracy44.3%
Cost1768
\[\begin{array}{l} t_1 := b \cdot \left(\left(y + t\right) + -2\right)\\ t_2 := x - t \cdot a\\ \mathbf{if}\;b \leq -2 \cdot 10^{+175}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -9 \cdot 10^{+54}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;b \leq -1.56 \cdot 10^{+25}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -1.05 \cdot 10^{-66}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;b \leq -8.8 \cdot 10^{-196}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -9.5 \cdot 10^{-241}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;b \leq 4.8 \cdot 10^{-261}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 2.1 \cdot 10^{-167}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;b \leq 1.3 \cdot 10^{-80}:\\ \;\;\;\;z - y \cdot z\\ \mathbf{elif}\;b \leq 2.8 \cdot 10^{+54}:\\ \;\;\;\;a + x\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 4
Accuracy47.7%
Cost1636
\[\begin{array}{l} t_1 := a + b \cdot \left(y + -2\right)\\ t_2 := z - y \cdot z\\ \mathbf{if}\;x \leq -8.6 \cdot 10^{+65}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;x \leq -7 \cdot 10^{+43}:\\ \;\;\;\;b \cdot \left(\left(y + t\right) + -2\right)\\ \mathbf{elif}\;x \leq -5 \cdot 10^{+23}:\\ \;\;\;\;x - t \cdot a\\ \mathbf{elif}\;x \leq -4.3 \cdot 10^{-28}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x \leq -1.7 \cdot 10^{-144}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq -2.1 \cdot 10^{-197}:\\ \;\;\;\;y \cdot \left(b - z\right)\\ \mathbf{elif}\;x \leq -1.6 \cdot 10^{-218}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq -7 \cdot 10^{-305}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x \leq 1.4 \cdot 10^{+77}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;a + x\\ \end{array} \]
Alternative 5
Accuracy53.1%
Cost1636
\[\begin{array}{l} t_1 := x + z \cdot \left(1 - y\right)\\ t_2 := b \cdot \left(\left(y + t\right) + -2\right)\\ \mathbf{if}\;b \leq -1 \cdot 10^{+223}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -3.5 \cdot 10^{+137}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -5.2 \cdot 10^{+109}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -1.3 \cdot 10^{-77}:\\ \;\;\;\;a + \left(x + y \cdot b\right)\\ \mathbf{elif}\;b \leq -4.4 \cdot 10^{-141}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -5.5 \cdot 10^{-176}:\\ \;\;\;\;\left(1 - t\right) \cdot a\\ \mathbf{elif}\;b \leq 1.9 \cdot 10^{-248}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 7.6 \cdot 10^{-211}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;b \leq 1.5 \cdot 10^{+82}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;a + b \cdot \left(y + -2\right)\\ \end{array} \]
Alternative 6
Accuracy50.0%
Cost1504
\[\begin{array}{l} t_1 := z - y \cdot z\\ t_2 := a + b \cdot \left(y + -2\right)\\ t_3 := a + \left(x + y \cdot b\right)\\ \mathbf{if}\;x \leq -6.5 \cdot 10^{+23}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;x \leq -1.02 \cdot 10^{-29}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq -4.2 \cdot 10^{-144}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x \leq -1.9 \cdot 10^{-195}:\\ \;\;\;\;y \cdot \left(b - z\right)\\ \mathbf{elif}\;x \leq -1.8 \cdot 10^{-221}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x \leq -1.6 \cdot 10^{-304}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq 1.5:\\ \;\;\;\;t_2\\ \mathbf{elif}\;x \leq 10^{+28}:\\ \;\;\;\;\left(1 - t\right) \cdot a\\ \mathbf{else}:\\ \;\;\;\;t_3\\ \end{array} \]
Alternative 7
Accuracy60.5%
Cost1500
\[\begin{array}{l} t_1 := x + z \cdot \left(1 - y\right)\\ t_2 := x - a \cdot \left(t + -1\right)\\ t_3 := x + b \cdot \left(\left(y + t\right) + -2\right)\\ \mathbf{if}\;b \leq -5 \cdot 10^{+109}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq -1.05 \cdot 10^{+54}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -1.55 \cdot 10^{+24}:\\ \;\;\;\;t_3\\ \mathbf{elif}\;b \leq 6.6 \cdot 10^{-272}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 5.2 \cdot 10^{-249}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 8 \cdot 10^{-168}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 1.5 \cdot 10^{-105}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;a + \left(x + b \cdot \left(y + -2\right)\right)\\ \end{array} \]
Alternative 8
Accuracy69.4%
Cost1500
\[\begin{array}{l} t_1 := x + \left(z + \left(1 - t\right) \cdot a\right)\\ t_2 := x + b \cdot \left(\left(y + t\right) + -2\right)\\ \mathbf{if}\;b \leq -1.38 \cdot 10^{+197}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -1.3 \cdot 10^{+49}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -2.85 \cdot 10^{+25}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 1.3 \cdot 10^{-194}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 2.9 \cdot 10^{-37}:\\ \;\;\;\;x + \left(a + z \cdot \left(1 - y\right)\right)\\ \mathbf{elif}\;b \leq 1.36 \cdot 10^{+112}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 9.2 \cdot 10^{+123}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;a + \left(x + b \cdot \left(y + -2\right)\right)\\ \end{array} \]
Alternative 9
Accuracy69.8%
Cost1500
\[\begin{array}{l} t_1 := x + \left(z + \left(1 - t\right) \cdot a\right)\\ t_2 := x + b \cdot \left(\left(y + t\right) + -2\right)\\ \mathbf{if}\;b \leq -4.8 \cdot 10^{+109}:\\ \;\;\;\;z + \left(x + b \cdot \left(t + -2\right)\right)\\ \mathbf{elif}\;b \leq -6 \cdot 10^{+52}:\\ \;\;\;\;x - a \cdot \left(t + -1\right)\\ \mathbf{elif}\;b \leq -9 \cdot 10^{+25}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 1.25 \cdot 10^{-197}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq 2.8 \cdot 10^{-37}:\\ \;\;\;\;x + \left(a + z \cdot \left(1 - y\right)\right)\\ \mathbf{elif}\;b \leq 10^{+111}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq 2.6 \cdot 10^{+128}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;a + \left(x + b \cdot \left(y + -2\right)\right)\\ \end{array} \]
Alternative 10
Accuracy85.0%
Cost1489
\[\begin{array}{l} t_1 := z \cdot \left(1 - y\right)\\ t_2 := \left(x + b \cdot \left(\left(y + t\right) + -2\right)\right) + t_1\\ t_3 := a \cdot \left(t + -1\right)\\ \mathbf{if}\;b \leq -4.8 \cdot 10^{+109}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;b \leq -1.15 \cdot 10^{+54}:\\ \;\;\;\;x - t_3\\ \mathbf{elif}\;b \leq -4.4 \cdot 10^{+24} \lor \neg \left(b \leq 1.6 \cdot 10^{-24}\right):\\ \;\;\;\;t_2\\ \mathbf{else}:\\ \;\;\;\;x + \left(t_1 - t_3\right)\\ \end{array} \]
Alternative 11
Accuracy42.3%
Cost1376
\[\begin{array}{l} t_1 := \left(1 - t\right) \cdot a\\ \mathbf{if}\;x \leq -9.5 \cdot 10^{+58}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;x \leq -0.72:\\ \;\;\;\;t \cdot \left(b - a\right)\\ \mathbf{elif}\;x \leq -1.5 \cdot 10^{-42}:\\ \;\;\;\;z\\ \mathbf{elif}\;x \leq -1.12 \cdot 10^{-131}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;x \leq -4.8 \cdot 10^{-140}:\\ \;\;\;\;b \cdot \left(y + -2\right)\\ \mathbf{elif}\;x \leq -9 \cdot 10^{-197}:\\ \;\;\;\;y \cdot \left(b - z\right)\\ \mathbf{elif}\;x \leq -2.5 \cdot 10^{-204}:\\ \;\;\;\;-2 \cdot b\\ \mathbf{elif}\;x \leq 2.5 \cdot 10^{+48}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;a + x\\ \end{array} \]
Alternative 12
Accuracy87.3%
Cost1357
\[\begin{array}{l} t_1 := z \cdot \left(1 - y\right)\\ t_2 := x + b \cdot \left(\left(y + t\right) + -2\right)\\ \mathbf{if}\;b \leq -5.6 \cdot 10^{+138}:\\ \;\;\;\;t_2 + t_1\\ \mathbf{elif}\;b \leq -3.3 \cdot 10^{-6} \lor \neg \left(b \leq 7.5 \cdot 10^{-41}\right):\\ \;\;\;\;t_2 + \left(1 - t\right) \cdot a\\ \mathbf{else}:\\ \;\;\;\;x + \left(t_1 - a \cdot \left(t + -1\right)\right)\\ \end{array} \]
Alternative 13
Accuracy100.0%
Cost1344
\[\left(\left(x + z \cdot \left(1 - y\right)\right) + \left(1 - t\right) \cdot a\right) + b \cdot \left(\left(y + t\right) + -2\right) \]
Alternative 14
Accuracy45.4%
Cost1244
\[\begin{array}{l} t_1 := x - t \cdot a\\ t_2 := z - y \cdot z\\ \mathbf{if}\;z \leq -2.2 \cdot 10^{+135}:\\ \;\;\;\;t_2\\ \mathbf{elif}\;z \leq -1.85 \cdot 10^{+112}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;z \leq -6.6 \cdot 10^{+52}:\\ \;\;\;\;t \cdot \left(b - a\right)\\ \mathbf{elif}\;z \leq -8.6 \cdot 10^{-38}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;z \leq -4.8 \cdot 10^{-221}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 2.1 \cdot 10^{-40}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;z \leq 6.6 \cdot 10^{+181}:\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;t_2\\ \end{array} \]
Alternative 15
Accuracy65.7%
Cost1108
\[\begin{array}{l} t_1 := x + z \cdot \left(1 - y\right)\\ \mathbf{if}\;z \leq -1.6 \cdot 10^{+134}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq -2.1 \cdot 10^{+96}:\\ \;\;\;\;x - a \cdot \left(t + -1\right)\\ \mathbf{elif}\;z \leq -1.22 \cdot 10^{+42}:\\ \;\;\;\;b \cdot \left(\left(y + t\right) + -2\right)\\ \mathbf{elif}\;z \leq 8.8 \cdot 10^{+48}:\\ \;\;\;\;a + \left(x + b \cdot \left(y + -2\right)\right)\\ \mathbf{elif}\;z \leq 3.5 \cdot 10^{+81}:\\ \;\;\;\;t \cdot \left(b - a\right)\\ \mathbf{else}:\\ \;\;\;\;t_1\\ \end{array} \]
Alternative 16
Accuracy70.9%
Cost1105
\[\begin{array}{l} t_1 := x + b \cdot \left(\left(y + t\right) + -2\right)\\ \mathbf{if}\;b \leq -4.8 \cdot 10^{+109}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;b \leq -1.15 \cdot 10^{+54}:\\ \;\;\;\;x - a \cdot \left(t + -1\right)\\ \mathbf{elif}\;b \leq -1.15 \cdot 10^{+25} \lor \neg \left(b \leq 2.9 \cdot 10^{-37}\right):\\ \;\;\;\;t_1\\ \mathbf{else}:\\ \;\;\;\;x + \left(a + z \cdot \left(1 - y\right)\right)\\ \end{array} \]
Alternative 17
Accuracy79.8%
Cost1104
\[\begin{array}{l} \mathbf{if}\;b \leq -4.8 \cdot 10^{+109}:\\ \;\;\;\;z + \left(x + b \cdot \left(t + -2\right)\right)\\ \mathbf{elif}\;b \leq 6.4 \cdot 10^{-23}:\\ \;\;\;\;x + \left(z \cdot \left(1 - y\right) - a \cdot \left(t + -1\right)\right)\\ \mathbf{elif}\;b \leq 7.5 \cdot 10^{+110}:\\ \;\;\;\;x + b \cdot \left(\left(y + t\right) + -2\right)\\ \mathbf{elif}\;b \leq 9.5 \cdot 10^{+123}:\\ \;\;\;\;x + \left(z + \left(1 - t\right) \cdot a\right)\\ \mathbf{else}:\\ \;\;\;\;a + \left(x + b \cdot \left(y + -2\right)\right)\\ \end{array} \]
Alternative 18
Accuracy43.5%
Cost984
\[\begin{array}{l} t_1 := t \cdot \left(b - a\right)\\ \mathbf{if}\;z \leq -3.2 \cdot 10^{+137}:\\ \;\;\;\;z\\ \mathbf{elif}\;z \leq -2.1 \cdot 10^{+114}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;z \leq -1.5 \cdot 10^{+54}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 4.8 \cdot 10^{+19}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;z \leq 5.6 \cdot 10^{+81}:\\ \;\;\;\;t_1\\ \mathbf{elif}\;z \leq 2.55 \cdot 10^{+175}:\\ \;\;\;\;a + x\\ \mathbf{else}:\\ \;\;\;\;z\\ \end{array} \]
Alternative 19
Accuracy30.4%
Cost856
\[\begin{array}{l} \mathbf{if}\;z \leq -1.55 \cdot 10^{+127}:\\ \;\;\;\;z\\ \mathbf{elif}\;z \leq -2.7 \cdot 10^{-220}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq 9.4 \cdot 10^{-250}:\\ \;\;\;\;a\\ \mathbf{elif}\;z \leq 5 \cdot 10^{-162}:\\ \;\;\;\;x\\ \mathbf{elif}\;z \leq 6.2 \cdot 10^{-121}:\\ \;\;\;\;a\\ \mathbf{elif}\;z \leq 1.15 \cdot 10^{+176}:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;z\\ \end{array} \]
Alternative 20
Accuracy43.6%
Cost584
\[\begin{array}{l} \mathbf{if}\;x \leq -4.4 \cdot 10^{+41}:\\ \;\;\;\;a + x\\ \mathbf{elif}\;x \leq 3.6 \cdot 10^{+49}:\\ \;\;\;\;\left(1 - t\right) \cdot a\\ \mathbf{else}:\\ \;\;\;\;a + x\\ \end{array} \]
Alternative 21
Accuracy45.1%
Cost456
\[\begin{array}{l} \mathbf{if}\;z \leq -1.5 \cdot 10^{+138}:\\ \;\;\;\;z\\ \mathbf{elif}\;z \leq 4.8 \cdot 10^{+175}:\\ \;\;\;\;a + x\\ \mathbf{else}:\\ \;\;\;\;z\\ \end{array} \]
Alternative 22
Accuracy32.7%
Cost328
\[\begin{array}{l} \mathbf{if}\;x \leq -6.5 \cdot 10^{-19}:\\ \;\;\;\;x\\ \mathbf{elif}\;x \leq 7.5 \cdot 10^{+54}:\\ \;\;\;\;a\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]
Alternative 23
Accuracy16.0%
Cost64
\[a \]

Error

Reproduce?

herbie shell --seed 2023133 
(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)))