This project provides a method for determining how long it takes a function to complete its execution.
Project description
time_profiler
This is a Python module for profiling a function's time usage. It's quite useful for determining how long a function will take to execute.
Installation
Install via pip:
pip install time_profiler
Usage
First decorate the function you would like to profile with @timer() and then run that file containing function.
In the following example, we create a simple function called sample_func that allocates lists a, b and then deletes b:
from time_profiler import timer
@timer()
def sample_func():
a = [1] * (10 ** 6)
b = [2] * (2 * 10 ** 7)
del b
return a
if __name__ == '__main__':
sample_func()
Then execute the code normally. For example, if the file name was example.py, this would result in:
python example.py
Output will be displayed in the terminal as follow:
11-24-2021 10:07:05 AM - timer - INFO - sample_func function ran in 0.10 secs
Parameters
This decorator(@timer()) takes two optional paramaters.
-
file_log: By default is set to false, which means that log file is not created but when set to true there should be a log file named timer.log. Breifly this argument is of boelen type.
-
exp_time: Here you can try to estimate the time to be used. When estimated time is less than actual used time, you get warning log instead of info.
Development
Latest sources are available from github:
Author
Carlos Harerimana
License
MIT
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file time_profiler-0.0.2.tar.gz.
File metadata
- Download URL: time_profiler-0.0.2.tar.gz
- Upload date:
- Size: 3.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.11 CPython/3.8.8 Linux/5.11.0-40-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
61431f006461e4a1f6bad10ddc280d829b007931cb87f2d313371518de2838e1
|
|
| MD5 |
01ec1efec702a8d12f533669f55adfaa
|
|
| BLAKE2b-256 |
c5b53a0d12866126cbfd70bdf39057aa16c4682e51e608a4cbad54bd7e14e53b
|
File details
Details for the file time_profiler-0.0.2-py3-none-any.whl.
File metadata
- Download URL: time_profiler-0.0.2-py3-none-any.whl
- Upload date:
- Size: 3.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.11 CPython/3.8.8 Linux/5.11.0-40-generic
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
19c805cb8283c985f119eba790b72048d915f369d542bf1712971bb4534e0e62
|
|
| MD5 |
c4e64579d54ed4a5dd26ec4e5aa8887c
|
|
| BLAKE2b-256 |
8649306b14e9a998c31dcdb910da0dd0e0757940926d76e10ec0718ab959f084
|