timerit 0.0.2

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

pip install timerit

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