A Programmer’s Perspective

I find myself often timing how long code blocks take to execute so I’m able to discover bottlenecks and compare performance between iterations.

A quick & simple way to do this is with a handy Python decorator.

import time
import logging as log

def log_timing():
    '''Decorator generator that logs the time it takes a function to execute'''
    #Decorator generator
    def decorator(func_to_decorate):
        def wrapper(*args, **kwargs):
            start = time.time()
            result = func_to_decorate(*args, **kwargs)
            elapsed = (time.time() - start)
            
            log.debug("[TIMING]:%s - %s" % (func_to_decorate.__name__, elapsed))
            
            return result
        wrapper.__doc__ = func_to_decorate.__doc__
        wrapper.__name__ = func_to_decorate.__name__
        return wrapper
    return decorator