README.md

In order to run program you need to install package using:

pip install git+https://github.com/Marciniec/complexity_estimate

In order to determine complexity of your program you need make new class that inherits from Basic class and implement methods:

• _init_ -declare all variables you'll need in your program

• set_up(self, l): - set up your program and this won't be taken into account during complexity mesurement, takes size of the problem as parameter

• function(self): - write code you want to be measured

• cleaning(self): -write code to clean up after function

example code:

from complexitymeasureproject import Basic


class i_do(Basic):
    def __init__(self):
        super().__init__()
        self.l = 0

    def set_up(self, l):
        self.l = l

    def function(self):
        for i in range(0, self.l):
            x = 2 * 5 + i

    def cleaning(self):
        pass

Then you can use:

• predict_elements(package.module.class,time,timeout) -shows complexity and returns aproximated number of elements computed in time
• predict_time(package.module.class,time,timeout) -shows complexity and returns aproximated time to compute
• show_complexity(package.module.class,timeout) - shows complexity Where timeout - max time of measuring program default - 30s

Example usage:

from complexitymeasureproject import main

f = main.predict_elements('okidoki.i_do',10)
x = main.predict_time('okidoki.i_do',10)
main.show_complexity('okidoki.i_do')