A powerful multiline alternative to timeit
Project description
Timerit
A powerful multiline alternative to Python’s builtin timeit module.
Docs will be written at https://timerit.readthedocs.io/en/latest/
Description
Easily do robust timings on existing blocks of code by simply indenting them. There is no need to refactor into a string representation or convert to a single line.
This is the standalone version of a utility currently in ubelt.
Installation
From pypi:
pip install timerit
From github:
pip install git+https://github.com/Erotemic/timerit.git
Examples
The quick and dirty way just requires one indent.
>>> import math
>>> from timerit import Timerit
>>> for _ in Timerit(num=200, verbose=2):
>>> math.factorial(10000)
Timing for 200 loops
Timed for: 200 loops, best of 3
time per loop: best=2.469 ms, mean=2.49 ± 0.037 ms
Use the loop variable as a context manager for more accurate timings or to incorporate an setup phase that is not timed. You can also access properties of the Timerit class to programmatically use results.
>>> import math
>>> from timerit import Timerit
>>> t1 = Timerit(num=200, verbose=2)
>>> for timer in t1:
>>> setup_vars = 10000
>>> with timer:
>>> math.factorial(setup_vars)
>>> print('t1.total_time = %r' % (t1.total_time,))
Timing for 200 loops
Timed for: 200 loops, best of 3
time per loop: best=2.064 ms, mean=2.115 ± 0.05 ms
t1.total_time = 0.4427177629695507
There is also a simple one-liner that is comparable to IPython magic:
Compare the timeit version:
>>> %timeit math.factorial(100)
564 ns ± 5.46 ns per loop (mean ± std. dev. of 7 runs, 1000000 loops each)
With the Timerit version:
>>> Timerit(100000).call(math.factorial, 100).print()
Timed for: 1 loops, best of 1
time per loop: best=4.828 µs, mean=4.828 ± 0.0 µs
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