Popular Python recipes tagged "meta:requires=timeit"

Compare speeds of different kinds of access to variables (Python)

2011-08-10T23:54:12-07:00

Python recipe 577834 by Raymond Hettinger (optimization). Revision 5.

Compare speeds of locals, nested scopes, global, builtins, instance variables, and class variables.

Benchmark code with the with statement (Python)

2011-10-08T09:53:06-07:00

Python recipe 577896 by Steven D'Aprano (benchmark, speed, time, timer).

Inspired by this post I wrote this context manager to benchmark code blocks or function calls.

Usage is incredibly simple:

with Timer():
    ...  # code to benchmark goes here

The time taken (in seconds) will be printed when the code block completes. To capture the time taken programmatically is almost as easy:

t = Timer()
with t:
    ...  # code to benchmark goes here
time_taken = t.interval

Due to the difficulties of timing small snippets of code accurately, you should only use this for timing code blocks or function calls which take a significant amount of time to process. For micro-benchmarks, you should use the timeit module.

Benchmark code with the with statement (Python)

2011-10-10T04:30:11-07:00

Python recipe 577900 by vleon (benchmark, speed, time, timer).

Inspired by this post I wrote this context manager to benchmark code blocks or function calls.

Usage is incredibly simple:

with Timer():
    ...  # code to benchmark goes here

The time taken (in seconds) will be printed when the code block completes. To capture the time taken programmatically is almost as easy:

t = Timer()
with t:
    ...  # code to benchmark goes here
time_taken = t.interval

Timing various python statements (Python)

2008-02-06T00:13:09-08:00

Python recipe 544297 by Oliver Schoenborn (programs).

The timeit module (in Python standard library) is handy to find out how fast a statement takes to execute, but not very convenient to compare speed of several equivalent statements: too much typing, need to create a Timer object for each statement, etc, tedious. The timings module provides the times() function to make it super easy to compare several statements in one call.

Iterator merge 2 (Python)

2007-12-07T22:16:05-08:00

Python recipe 535160 by Jonathan Cronin (algorithms). Revision 2.

Memory efficient multi-way iterator merge, without using heapq

Extracting a low resolution grid from a high resolution grid (Python)

2005-05-23T15:28:15-07:00

Python recipe 414084 by Gerry Wiener (graphics). Revision 3.

This recipe illustrates how to extract a low resolution grid from a high resolution grid using the Numeric package. It presents an inefficient but straightforward solution and then a more efficient solution that employs the functionality in Numeric.

Yet another timeit function (Python)

2005-04-01T07:57:55-08:00

Python recipe 408762 by Thomas Heller (debugging).

Here is a handy function to use the timeit module from a script, creating a nice overview of the runtimes of one or more code snippets.

All command line flags that the timeit module accepts can be used.

The output can easily be customized.

Timeit module wrapper (Python)

2005-02-28T09:34:34-08:00

Python recipe 389767 by Anand (algorithms). Revision 4.

A simple, easy to use wrapper function for doing quick tests of your functions using the timeit module.

Convenience 'timeit' function (Python)

2005-01-12T15:12:04-08:00

Python recipe 361501 by m k (debugging). Revision 2.

This function makes it easier to use the timeit module from the interactive interpreter.

Just specify function with (optional) arguments to run, optional number of runs, and optional name of module (which if not specified defaults to the name of the function).

Example:

>>> timefunc.timefunc('r()', 20)
20 loops, best of 3: 6.91e+004 usec per loop



>>> timefunc.timefunc('rx()', 20, 'r')
20 loops, best of 3: 2.23e+004 usec per loop