Simple and pretty python code profiler for measuring execution time.
Project description
ptimeit
pretty timeit - simple and pretty python code profiler for measuring execution time
pip install ptimeit
examples
function execution time
use timeit_function
decorator for measuring function execution time
import time
from ptimeit import timeit_function
@timeit_function('foo')
def foo():
time.sleep(0.1)
foo()
outputs:
->>>>>>>> 102.7ms foo()
code section execution time
use timeit_section
context manager for measuring code section execution time
import time
from ptimeit import timeit_section
with timeit_section('bar'):
time.sleep(0.1)
outputs:
->>>>>>>> 105.1ms bar
nested mixture of functions and sections
import time
from ptimeit import timeit_function, timeit_section
@timeit_function('foo_inner')
def foo_inner():
with timeit_section('foo_inner:section_1'):
time.sleep(0.05)
with timeit_section('foo_inner:section_2'):
time.sleep(0.25)
@timeit_function('foo_outer')
def foo_outer():
with timeit_section('foo_outer:section_1'):
time.sleep(0.2)
foo_inner()
with timeit_section('foo_outer:section_2'):
time.sleep(0.4)
with timeit_section('bar:outer'):
foo_outer()
time.sleep(0.1)
outputs:
->>>>>>>> 200.1ms | | foo_outer:section_1
->>>>>>>> 51.3ms | | | foo_inner:section_1
->>>>>>>> 252.8ms | | | foo_inner:section_2
->>>>>>>> 304.3ms | | foo_inner()
->>>>>>>> 403.0ms | | foo_outer:section_2
->>>>>>>> 907.6ms | foo_outer()
->>>>>>>> 1010.8ms bar:outer
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ptimeit-0.1.1.tar.gz
(2.5 kB
view hashes)