Data.Colour.RGBSpace.HSV:hsv from colour-2.3.3, I

Percentage Accurate: 96.2% → 97.7%
Time: 4.7s
Alternatives: 5
Speedup: TODO×

Specification

?
\[x \cdot \left(1 - y \cdot z\right) \]

Your Program's Arguments

Results

Enter valid numbers for all inputs

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.

Accuracy vs Speed?

Herbie found 5 alternatives:

AlternativeAccuracySpeedup
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.

Alternative 1?

\[\begin{array}{l} \mathbf{if}\;y \cdot z \leq 10^{+145}:\\ \;\;\;\;x \cdot \left(1 - y \cdot z\right)\\ \mathbf{else}:\\ \;\;\;\;z \cdot \left(y \cdot \left(-x\right)\right)\\ \end{array} \]
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 y z) < 9.9999999999999999e144

    1. Initial program 98.2%

      \[x \cdot \left(1 - y \cdot z\right) \]

    if 9.9999999999999999e144 < (*.f64 y z)

    1. Initial program 84.4%

      \[x \cdot \left(1 - y \cdot z\right) \]
    2. Step-by-step derivation
      1. flip--20.5%

        \[\leadsto x \cdot \color{blue}{\frac{1 \cdot 1 - \left(y \cdot z\right) \cdot \left(y \cdot z\right)}{1 + y \cdot z}} \]
      2. associate-*r/20.5%

        \[\leadsto \color{blue}{\frac{x \cdot \left(1 \cdot 1 - \left(y \cdot z\right) \cdot \left(y \cdot z\right)\right)}{1 + y \cdot z}} \]
      3. metadata-eval20.5%

        \[\leadsto \frac{x \cdot \left(\color{blue}{1} - \left(y \cdot z\right) \cdot \left(y \cdot z\right)\right)}{1 + y \cdot z} \]
      4. pow220.5%

        \[\leadsto \frac{x \cdot \left(1 - \color{blue}{{\left(y \cdot z\right)}^{2}}\right)}{1 + y \cdot z} \]
    3. Applied egg-rr20.5%

      \[\leadsto \color{blue}{\frac{x \cdot \left(1 - {\left(y \cdot z\right)}^{2}\right)}{1 + y \cdot z}} \]
    4. Step-by-step derivation
      1. *-commutative20.5%

        \[\leadsto \frac{\color{blue}{\left(1 - {\left(y \cdot z\right)}^{2}\right) \cdot x}}{1 + y \cdot z} \]
      2. associate-/l*19.6%

        \[\leadsto \color{blue}{\frac{1 - {\left(y \cdot z\right)}^{2}}{\frac{1 + y \cdot z}{x}}} \]
    5. Simplified19.6%

      \[\leadsto \color{blue}{\frac{1 - {\left(y \cdot z\right)}^{2}}{\frac{1 + y \cdot z}{x}}} \]
    6. Step-by-step derivation
      1. associate-/r/20.5%

        \[\leadsto \color{blue}{\frac{1 - {\left(y \cdot z\right)}^{2}}{1 + y \cdot z} \cdot x} \]
      2. metadata-eval20.5%

        \[\leadsto \frac{\color{blue}{1 \cdot 1} - {\left(y \cdot z\right)}^{2}}{1 + y \cdot z} \cdot x \]
      3. unpow220.5%

        \[\leadsto \frac{1 \cdot 1 - \color{blue}{\left(y \cdot z\right) \cdot \left(y \cdot z\right)}}{1 + y \cdot z} \cdot x \]
      4. flip--84.4%

        \[\leadsto \color{blue}{\left(1 - y \cdot z\right)} \cdot x \]
      5. sub-neg84.4%

        \[\leadsto \color{blue}{\left(1 + \left(-y \cdot z\right)\right)} \cdot x \]
      6. distribute-rgt-neg-out84.4%

        \[\leadsto \left(1 + \color{blue}{y \cdot \left(-z\right)}\right) \cdot x \]
      7. +-commutative84.4%

        \[\leadsto \color{blue}{\left(y \cdot \left(-z\right) + 1\right)} \cdot x \]
      8. distribute-rgt1-in84.4%

        \[\leadsto \color{blue}{x + \left(y \cdot \left(-z\right)\right) \cdot x} \]
      9. distribute-rgt-neg-out84.4%

        \[\leadsto x + \color{blue}{\left(-y \cdot z\right)} \cdot x \]
      10. distribute-lft-neg-out84.4%

        \[\leadsto x + \color{blue}{\left(-\left(y \cdot z\right) \cdot x\right)} \]
      11. distribute-rgt-neg-out84.4%

        \[\leadsto x + \color{blue}{\left(y \cdot z\right) \cdot \left(-x\right)} \]
      12. add-sqr-sqrt40.9%

        \[\leadsto x + \left(y \cdot z\right) \cdot \color{blue}{\left(\sqrt{-x} \cdot \sqrt{-x}\right)} \]
      13. sqrt-unprod32.9%

        \[\leadsto x + \left(y \cdot z\right) \cdot \color{blue}{\sqrt{\left(-x\right) \cdot \left(-x\right)}} \]
      14. sqr-neg32.9%

        \[\leadsto x + \left(y \cdot z\right) \cdot \sqrt{\color{blue}{x \cdot x}} \]
      15. sqrt-unprod0.2%

        \[\leadsto x + \left(y \cdot z\right) \cdot \color{blue}{\left(\sqrt{x} \cdot \sqrt{x}\right)} \]
      16. add-sqr-sqrt0.5%

        \[\leadsto x + \left(y \cdot z\right) \cdot \color{blue}{x} \]
      17. cancel-sign-sub0.5%

        \[\leadsto \color{blue}{x - \left(-y \cdot z\right) \cdot x} \]
      18. distribute-rgt-neg-out0.5%

        \[\leadsto x - \color{blue}{\left(y \cdot \left(-z\right)\right)} \cdot x \]
      19. *-commutative0.5%

        \[\leadsto x - \color{blue}{x \cdot \left(y \cdot \left(-z\right)\right)} \]
      20. associate-*r*0.5%

        \[\leadsto x - \color{blue}{\left(x \cdot y\right) \cdot \left(-z\right)} \]
    7. Applied egg-rr99.7%

      \[\leadsto \color{blue}{x + \left(-y \cdot x\right) \cdot z} \]
    8. Step-by-step derivation
      1. distribute-lft-neg-out99.7%

        \[\leadsto x + \color{blue}{\left(-\left(y \cdot x\right) \cdot z\right)} \]
      2. unsub-neg99.7%

        \[\leadsto \color{blue}{x - \left(y \cdot x\right) \cdot z} \]
      3. *-commutative99.7%

        \[\leadsto x - \color{blue}{z \cdot \left(y \cdot x\right)} \]
    9. Simplified99.7%

      \[\leadsto \color{blue}{x - z \cdot \left(y \cdot x\right)} \]
    10. Taylor expanded in z around inf 97.3%

      \[\leadsto \color{blue}{-1 \cdot \left(y \cdot \left(z \cdot x\right)\right)} \]
    11. Step-by-step derivation
      1. mul-1-neg97.3%

        \[\leadsto \color{blue}{-y \cdot \left(z \cdot x\right)} \]
      2. distribute-rgt-neg-in97.3%

        \[\leadsto \color{blue}{y \cdot \left(-z \cdot x\right)} \]
      3. *-commutative97.3%

        \[\leadsto y \cdot \left(-\color{blue}{x \cdot z}\right) \]
      4. distribute-rgt-neg-out97.3%

        \[\leadsto y \cdot \color{blue}{\left(x \cdot \left(-z\right)\right)} \]
      5. associate-*l*99.7%

        \[\leadsto \color{blue}{\left(y \cdot x\right) \cdot \left(-z\right)} \]
    12. Simplified99.7%

      \[\leadsto \color{blue}{\left(y \cdot x\right) \cdot \left(-z\right)} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification98.4%

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \cdot z \leq 10^{+145}:\\ \;\;\;\;x \cdot \left(1 - y \cdot z\right)\\ \mathbf{else}:\\ \;\;\;\;z \cdot \left(y \cdot \left(-x\right)\right)\\ \end{array} \]

Alternative 2?

\[\begin{array}{l} \mathbf{if}\;y \cdot z \leq -1 \lor \neg \left(y \cdot z \leq 0.5\right):\\ \;\;\;\;\left(y \cdot z\right) \cdot \left(-x\right)\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 y z) < -1 or 0.5 < (*.f64 y z)

    1. Initial program 91.7%

      \[x \cdot \left(1 - y \cdot z\right) \]
    2. Taylor expanded in y around inf 87.8%

      \[\leadsto x \cdot \color{blue}{\left(-1 \cdot \left(y \cdot z\right)\right)} \]
    3. Step-by-step derivation
      1. mul-1-neg87.8%

        \[\leadsto x \cdot \color{blue}{\left(-y \cdot z\right)} \]
      2. distribute-rgt-neg-out87.8%

        \[\leadsto x \cdot \color{blue}{\left(y \cdot \left(-z\right)\right)} \]
    4. Simplified87.8%

      \[\leadsto x \cdot \color{blue}{\left(y \cdot \left(-z\right)\right)} \]

    if -1 < (*.f64 y z) < 0.5

    1. Initial program 100.0%

      \[x \cdot \left(1 - y \cdot z\right) \]
    2. Taylor expanded in y around 0 97.7%

      \[\leadsto \color{blue}{x} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification93.2%

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \cdot z \leq -1 \lor \neg \left(y \cdot z \leq 0.5\right):\\ \;\;\;\;\left(y \cdot z\right) \cdot \left(-x\right)\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]

Alternative 3?

\[\begin{array}{l} \mathbf{if}\;y \cdot z \leq -1 \lor \neg \left(y \cdot z \leq 0.5\right):\\ \;\;\;\;y \cdot \left(z \cdot \left(-x\right)\right)\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]
Derivation
  1. Split input into 2 regimes
  2. if (*.f64 y z) < -1 or 0.5 < (*.f64 y z)

    1. Initial program 91.7%

      \[x \cdot \left(1 - y \cdot z\right) \]
    2. Taylor expanded in y around inf 89.9%

      \[\leadsto \color{blue}{-1 \cdot \left(y \cdot \left(z \cdot x\right)\right)} \]
    3. Step-by-step derivation
      1. mul-1-neg89.9%

        \[\leadsto \color{blue}{-y \cdot \left(z \cdot x\right)} \]
      2. distribute-rgt-neg-in89.9%

        \[\leadsto \color{blue}{y \cdot \left(-z \cdot x\right)} \]
      3. distribute-rgt-neg-in89.9%

        \[\leadsto y \cdot \color{blue}{\left(z \cdot \left(-x\right)\right)} \]
    4. Simplified89.9%

      \[\leadsto \color{blue}{y \cdot \left(z \cdot \left(-x\right)\right)} \]

    if -1 < (*.f64 y z) < 0.5

    1. Initial program 100.0%

      \[x \cdot \left(1 - y \cdot z\right) \]
    2. Taylor expanded in y around 0 97.7%

      \[\leadsto \color{blue}{x} \]
  3. Recombined 2 regimes into one program.
  4. Final simplification94.1%

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \cdot z \leq -1 \lor \neg \left(y \cdot z \leq 0.5\right):\\ \;\;\;\;y \cdot \left(z \cdot \left(-x\right)\right)\\ \mathbf{else}:\\ \;\;\;\;x\\ \end{array} \]

Alternative 4?

\[\begin{array}{l} \mathbf{if}\;y \cdot z \leq -1:\\ \;\;\;\;z \cdot \left(y \cdot \left(-x\right)\right)\\ \mathbf{elif}\;y \cdot z \leq 0.5:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;y \cdot \left(z \cdot \left(-x\right)\right)\\ \end{array} \]
Derivation
  1. Split input into 3 regimes
  2. if (*.f64 y z) < -1

    1. Initial program 92.8%

      \[x \cdot \left(1 - y \cdot z\right) \]
    2. Step-by-step derivation
      1. flip--53.7%

        \[\leadsto x \cdot \color{blue}{\frac{1 \cdot 1 - \left(y \cdot z\right) \cdot \left(y \cdot z\right)}{1 + y \cdot z}} \]
      2. associate-*r/48.6%

        \[\leadsto \color{blue}{\frac{x \cdot \left(1 \cdot 1 - \left(y \cdot z\right) \cdot \left(y \cdot z\right)\right)}{1 + y \cdot z}} \]
      3. metadata-eval48.6%

        \[\leadsto \frac{x \cdot \left(\color{blue}{1} - \left(y \cdot z\right) \cdot \left(y \cdot z\right)\right)}{1 + y \cdot z} \]
      4. pow248.6%

        \[\leadsto \frac{x \cdot \left(1 - \color{blue}{{\left(y \cdot z\right)}^{2}}\right)}{1 + y \cdot z} \]
    3. Applied egg-rr48.6%

      \[\leadsto \color{blue}{\frac{x \cdot \left(1 - {\left(y \cdot z\right)}^{2}\right)}{1 + y \cdot z}} \]
    4. Step-by-step derivation
      1. *-commutative48.6%

        \[\leadsto \frac{\color{blue}{\left(1 - {\left(y \cdot z\right)}^{2}\right) \cdot x}}{1 + y \cdot z} \]
      2. associate-/l*53.4%

        \[\leadsto \color{blue}{\frac{1 - {\left(y \cdot z\right)}^{2}}{\frac{1 + y \cdot z}{x}}} \]
    5. Simplified53.4%

      \[\leadsto \color{blue}{\frac{1 - {\left(y \cdot z\right)}^{2}}{\frac{1 + y \cdot z}{x}}} \]
    6. Step-by-step derivation
      1. associate-/r/53.7%

        \[\leadsto \color{blue}{\frac{1 - {\left(y \cdot z\right)}^{2}}{1 + y \cdot z} \cdot x} \]
      2. metadata-eval53.7%

        \[\leadsto \frac{\color{blue}{1 \cdot 1} - {\left(y \cdot z\right)}^{2}}{1 + y \cdot z} \cdot x \]
      3. unpow253.7%

        \[\leadsto \frac{1 \cdot 1 - \color{blue}{\left(y \cdot z\right) \cdot \left(y \cdot z\right)}}{1 + y \cdot z} \cdot x \]
      4. flip--92.8%

        \[\leadsto \color{blue}{\left(1 - y \cdot z\right)} \cdot x \]
      5. sub-neg92.8%

        \[\leadsto \color{blue}{\left(1 + \left(-y \cdot z\right)\right)} \cdot x \]
      6. distribute-rgt-neg-out92.8%

        \[\leadsto \left(1 + \color{blue}{y \cdot \left(-z\right)}\right) \cdot x \]
      7. +-commutative92.8%

        \[\leadsto \color{blue}{\left(y \cdot \left(-z\right) + 1\right)} \cdot x \]
      8. distribute-rgt1-in92.8%

        \[\leadsto \color{blue}{x + \left(y \cdot \left(-z\right)\right) \cdot x} \]
      9. distribute-rgt-neg-out92.8%

        \[\leadsto x + \color{blue}{\left(-y \cdot z\right)} \cdot x \]
      10. distribute-lft-neg-out92.8%

        \[\leadsto x + \color{blue}{\left(-\left(y \cdot z\right) \cdot x\right)} \]
      11. distribute-rgt-neg-out92.8%

        \[\leadsto x + \color{blue}{\left(y \cdot z\right) \cdot \left(-x\right)} \]
      12. add-sqr-sqrt56.3%

        \[\leadsto x + \left(y \cdot z\right) \cdot \color{blue}{\left(\sqrt{-x} \cdot \sqrt{-x}\right)} \]
      13. sqrt-unprod43.4%

        \[\leadsto x + \left(y \cdot z\right) \cdot \color{blue}{\sqrt{\left(-x\right) \cdot \left(-x\right)}} \]
      14. sqr-neg43.4%

        \[\leadsto x + \left(y \cdot z\right) \cdot \sqrt{\color{blue}{x \cdot x}} \]
      15. sqrt-unprod0.3%

        \[\leadsto x + \left(y \cdot z\right) \cdot \color{blue}{\left(\sqrt{x} \cdot \sqrt{x}\right)} \]
      16. add-sqr-sqrt0.9%

        \[\leadsto x + \left(y \cdot z\right) \cdot \color{blue}{x} \]
      17. cancel-sign-sub0.9%

        \[\leadsto \color{blue}{x - \left(-y \cdot z\right) \cdot x} \]
      18. distribute-rgt-neg-out0.9%

        \[\leadsto x - \color{blue}{\left(y \cdot \left(-z\right)\right)} \cdot x \]
      19. *-commutative0.9%

        \[\leadsto x - \color{blue}{x \cdot \left(y \cdot \left(-z\right)\right)} \]
      20. associate-*r*1.0%

        \[\leadsto x - \color{blue}{\left(x \cdot y\right) \cdot \left(-z\right)} \]
    7. Applied egg-rr93.1%

      \[\leadsto \color{blue}{x + \left(-y \cdot x\right) \cdot z} \]
    8. Step-by-step derivation
      1. distribute-lft-neg-out93.1%

        \[\leadsto x + \color{blue}{\left(-\left(y \cdot x\right) \cdot z\right)} \]
      2. unsub-neg93.1%

        \[\leadsto \color{blue}{x - \left(y \cdot x\right) \cdot z} \]
      3. *-commutative93.1%

        \[\leadsto x - \color{blue}{z \cdot \left(y \cdot x\right)} \]
    9. Simplified93.1%

      \[\leadsto \color{blue}{x - z \cdot \left(y \cdot x\right)} \]
    10. Taylor expanded in z around inf 87.7%

      \[\leadsto \color{blue}{-1 \cdot \left(y \cdot \left(z \cdot x\right)\right)} \]
    11. Step-by-step derivation
      1. mul-1-neg87.7%

        \[\leadsto \color{blue}{-y \cdot \left(z \cdot x\right)} \]
      2. distribute-rgt-neg-in87.7%

        \[\leadsto \color{blue}{y \cdot \left(-z \cdot x\right)} \]
      3. *-commutative87.7%

        \[\leadsto y \cdot \left(-\color{blue}{x \cdot z}\right) \]
      4. distribute-rgt-neg-out87.7%

        \[\leadsto y \cdot \color{blue}{\left(x \cdot \left(-z\right)\right)} \]
      5. associate-*l*87.9%

        \[\leadsto \color{blue}{\left(y \cdot x\right) \cdot \left(-z\right)} \]
    12. Simplified87.9%

      \[\leadsto \color{blue}{\left(y \cdot x\right) \cdot \left(-z\right)} \]

    if -1 < (*.f64 y z) < 0.5

    1. Initial program 100.0%

      \[x \cdot \left(1 - y \cdot z\right) \]
    2. Taylor expanded in y around 0 97.7%

      \[\leadsto \color{blue}{x} \]

    if 0.5 < (*.f64 y z)

    1. Initial program 90.8%

      \[x \cdot \left(1 - y \cdot z\right) \]
    2. Taylor expanded in y around inf 91.7%

      \[\leadsto \color{blue}{-1 \cdot \left(y \cdot \left(z \cdot x\right)\right)} \]
    3. Step-by-step derivation
      1. mul-1-neg91.7%

        \[\leadsto \color{blue}{-y \cdot \left(z \cdot x\right)} \]
      2. distribute-rgt-neg-in91.7%

        \[\leadsto \color{blue}{y \cdot \left(-z \cdot x\right)} \]
      3. distribute-rgt-neg-in91.7%

        \[\leadsto y \cdot \color{blue}{\left(z \cdot \left(-x\right)\right)} \]
    4. Simplified91.7%

      \[\leadsto \color{blue}{y \cdot \left(z \cdot \left(-x\right)\right)} \]
  3. Recombined 3 regimes into one program.
  4. Final simplification94.1%

    \[\leadsto \begin{array}{l} \mathbf{if}\;y \cdot z \leq -1:\\ \;\;\;\;z \cdot \left(y \cdot \left(-x\right)\right)\\ \mathbf{elif}\;y \cdot z \leq 0.5:\\ \;\;\;\;x\\ \mathbf{else}:\\ \;\;\;\;y \cdot \left(z \cdot \left(-x\right)\right)\\ \end{array} \]

Alternative 5?

\[x \]
Derivation
  1. Initial program 96.2%

    \[x \cdot \left(1 - y \cdot z\right) \]
  2. Taylor expanded in y around 0 54.3%

    \[\leadsto \color{blue}{x} \]
  3. Final simplification54.3%

    \[\leadsto x \]

Reproduce

?
herbie shell --seed 2023166 
(FPCore (x y z)
  :name "Data.Colour.RGBSpace.HSV:hsv from colour-2.3.3, I"
  :precision binary64
  (* x (- 1.0 (* y z))))