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A Python framework to measure and compare the execution speed of different methods in a class.

Project description

What?

A small and simple framework to measure and compare the execution speed of different methods in a class.

Example

#!/usr/bin/python

from testlap import TestLap
from random import randint

class Conditional_vs_Exception():
    '''
    Compare if then against try: except.
    '''

    def __init__(self):
        pass

    def test_1_if_then_else(self):
        '''Evaluate a value using if then else.'''

        number = randint(0,1)
        if number == 1:
            pass
        else:
            pass

    def test_2_try_except(self):
        '''Evaluate a value using try: except.'''

        number = randint(0,1)
        try:
            number == 1
        except:
            pass
        else:
            pass

if __name__ == '__main__':

    test_lap=TestLap(instance=Conditional_vs_Exception(), iterations=10000000)
    test_lap.go()
Running test_1_if_then_else
OK
Running test_2_try_except
OK
3.6.0 (default, Feb 12 2017, 22:33:51)
[GCC 6.3.1 20161221 (Red Hat 6.3.1-1)]
Linux-4.9.10-100.fc24.x86_64-x86_64-with-fedora-24-Twenty_Four

    Compare if then against try: except.

+---------------------+--------------------------------------+--------+---------+--------------+
| Function            | Description                          | Result | Seconds | Iterations/s |
+---------------------+--------------------------------------+--------+---------+--------------+
| test_1_if_then_else | Evaluate a value using if then else. | OK     |  13.586 |   736049.706 |
| test_2_try_except   | Evaluate a value using try: except.  | OK     |  13.898 |   719536.763 |
+---------------------+--------------------------------------+--------+---------+--------------+

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