timy
Minimalist measurement of python code time
timy comes with a different idea of the built-in module timeit. It adds flexibility and different ways of measuring code time, using simple context managers and function decorators.
Installing
pip install timy
Usage
Decorating a function
Let's say you have a calculate function and you want to keep track of its execution time
import timy
@timy.timer()
def calculate(n, r):
"""
Divide, multiply and sum 'n' to every number in range 'r'
returning the result list
"""
return [i / n * n + n for i in range(r)]Whenever you call that function, the execution time will be tracked
calculate(5, 10000000)
>> Timy executed (calculate) for 1 time(s) in 1.529540 seconds
>> Timy best time was 1.529540 secondsChanging the ident and adding loops to the execution
import timy
@timy.timer(ident='My calculation', loops=10)
def calculate(n, r):
return [i / n * n + n for i in range(r)]
calculate(5, 10000000)
>> My calculation executed (calculate) for 10 time(s) in 15.165313 seconds
>> My calculation best time was 1.414186 secondsTracking specific points along your code
The with statement can also be used to measure code time
Named tracking points can be added with the
trackfunction
import timy
with timy.Timer() as timer:
N = 10000000
for i in range(N):
if i == N/2:
timer.track('Half way')
>> Timy (Half way) 0.557577 seconds
>> Timy 0.988087 seconds Another usage of tracking in a prime factors function
def prime_factors(n):
with timy.Timer('Factors') as timer:
i = 2
factors = []
def add_factor(n):
factors.append(n)
timer.track('Found a factor')
while i * i <= n:
if n % i:
i += 1
continue
n //= i
add_factor(n)
if n > 1:
add_factor(n)
return factors
factors = prime_factors(600851475143)
print(factors)
>> Factors (Found a factor) 0.000023 seconds
>> Factors (Found a factor) 0.000207 seconds
>> Factors (Found a factor) 0.000323 seconds
>> Factors (Found a factor) 0.000340 seconds
>> Factors 0.000349 seconds
>> [8462696833, 10086647, 6857, 6857]Configuring
Importing timy config
from timy.settings import timy_configEnable or disable timy trackings
You can enable or disable timy trackings with the tracking value.
The default value of
trackingisTrue
timy_config.tracking = FalseChanging the way timy outputs information
You can either use print or logging for all timy outputs, with the tracking_mode value.
The default value of
tracking_modeisTrackingMode.PRINTING.
from timy.settings import (
timy_config,
TrackingMode
)
timy_config.tracking_mode = TrackingMode.LOGGINGContribute
Contributions are always welcome, but keep it simple and small.
License
This project is licensed under the MIT License - see the LICENSE file for details
Changelog
v 0.3.3 (April 19, 2017)
- Adds an optional argument
include_sleeptimeto count time elapsed including sleep time (include_sleeptime=True) and excluding sleep time (include_sleeptime=False)
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