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Decorator for timing functions in python
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import time | |
def timeit(method): | |
""" | |
Decorator useful for timing functions. | |
Source: https://medium.com/pythonhive/python-decorator-to-measure-the-execution-time-of-methods-fa04cb6bb36d | |
Usage: | |
@timeit | |
def my_function(): | |
pass | |
""" | |
def timed(*args, **kw): | |
ts = time.time() | |
result = method(*args, **kw) | |
te = time.time() | |
if 'log_time' in kw: | |
name = kw.get('log_name', method.__name__.upper()) | |
kw['log_time'][name] = int((te - ts) * 1000) | |
else: | |
print('%r %2.2f ms' % | |
(method.__name__, (te - ts) * 1000)) | |
return result | |
return timed |
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If you changed log_time to be a module var and append times to a list, you could store all call times for all decorated functions without the need to pass in the kwarg. Then after the end of your program, before exit, you could post-process (average, stats, graph, whatever) the log_time data at that point. No need to inject it into the function kwargs then. Which also saves you from having to change all timed functions to accept **kwargs. Maybe some don't etc....