analysis.txt

I didn't expect the decorated version to execute as fast as it did. Only twice the duration as the "normal" version! 

decorate.py

import math

# x = (- b + sqrt(b**2 - 4 ac)) / 2a

def div_2a(func):
    def inner(a, b, c):
        x = func(a, b, c)
        x /= 2 * a
        return x
    return inner


def plus_neg_b(func):
    def inner(a, b, c):
        x = func(a, b, c)
        x += -1 * b
        return x
    return inner


def sqrt(func):
    def inner(a, b, c):
        x = func(a, b, c)
        x = math.sqrt(x)
        return x
    return inner


def sub_4ac(func):
    def inner(a, b, c):
        x = func(a, b, c)
        x -= 4 * a * c
        return x
    return inner


def square_b(func):
    def inner(a, b, c):
        return b ** 2
    return inner


@div_2a
@plus_neg_b
@sqrt
@sub_4ac
@square_b
def main(a, b, c):
    pass


def simple(a, b, c):
    return (-1 * b + math.sqrt(b ** 2 - 4 * a * c)) / (2 * a)


if __name__ == '__main__':
    print(main(9, 12, 4))

results.txt

➜  ~ python -m timeit -s 'import decorate' 'decorate.main(9, 12, 4)'
1000000 loops, best of 3: 1.53 usec per loop
➜  ~ python -m timeit -s 'import decorate' 'decorate.simple(9, 12, 4)'
1000000 loops, best of 3: 0.843 usec per loop