Data.HyperLogLog.Config:hll from hyperloglog-0.3.4

Average Error: 0.2 → 0.2

Time: 1.7min

Precision: binary64

Cost: 320

Math

\[\left(x \cdot y\right) \cdot y \]

↓

\[\left(x \cdot y\right) \cdot y \]

FPCore

(FPCore (x y) :precision binary64 (* (* x y) y))

↓

(FPCore (x y) :precision binary64 (* (* x y) y))

C

double code(double x, double y) {
	return (x * y) * y;
}

↓

double code(double x, double y) {
	return (x * y) * y;
}

Fortran

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x * y) * y
end function

↓

real(8) function code(x, y)
    real(8), intent (in) :: x
    real(8), intent (in) :: y
    code = (x * y) * y
end function

Java

public static double code(double x, double y) {
	return (x * y) * y;
}

↓

public static double code(double x, double y) {
	return (x * y) * y;
}

Python

def code(x, y):
	return (x * y) * y

↓

def code(x, y):
	return (x * y) * y

Julia

function code(x, y)
	return Float64(Float64(x * y) * y)
end

↓

function code(x, y)
	return Float64(Float64(x * y) * y)
end

MATLAB

function tmp = code(x, y)
	tmp = (x * y) * y;
end

↓

function tmp = code(x, y)
	tmp = (x * y) * y;
end

Wolfram

code[x_, y_] := N[(N[(x * y), $MachinePrecision] * y), $MachinePrecision]

↓

code[x_, y_] := N[(N[(x * y), $MachinePrecision] * y), $MachinePrecision]

Derivation

1. Initial program 0.2

   \[\left(x \cdot y\right) \cdot y \]

Reproduce

herbie shell --seed 2023033 
(FPCore (x y)
  :name "Data.HyperLogLog.Config:hll from hyperloglog-0.3.4"
  :precision binary64
  (* (* x y) y))