PyExecutors - A simple multi-threading task management library

Are you great with multi-threading?

PyExecutors is a utility module which provides straight-forward, powerful functions for working with asynchronous python functions.

This runs an array of functions in series. You can program the functions to run synchronously or asynchronously in the order you desire.

Installation

pip install pyexecutors

Then, from a python interpreter

from pyexecutors.executors.Executors import SyncTasks, AsyncTasks, Executors

def execute_method(exec_thread_number):
    // your function

Executors() \
    .enqueue(AsyncTasks(execute_method, args=(1,))) \
    .enqueue(AsyncTasks(execute_method, args=(2,))) \
    .enqueue(SyncTasks(execute_method, args=(3,))) \
    .enqueue(AsyncTasks(execute_method, args=(4,))) \
    .execute()

How does it work

Synchronous Functions

A synchronous functions runs by encapsulating itself with RLocks . The lock is released after the functions' execution is complete

Asynchronous Functions

Asynchronous takes the help of Barriers. The idea is to create a barrier with the limit being the number of consecutive async functions. A new barrier is created when a Sync function comes in between.

Running Tests

pip install pytest
pytest

The test function simply matches the thread number with the argument passed to the functions. The argument has been given to match the order of thread execution

Code & Issues

If you are a developer and you wish to contribute to the library please fork the project and submit a pull request. Follow Github Flow for collaboration! If you have any questions, feel free to ask me about whatever you want.

Project Maintainers

This project is founded and actively maintained by Tanmay Majumdar. For any sort of queries feel free to mail at tanmay.majumdar@hotmail.com

License

This project is licensed under the MIT License - see the LICENSE.md file for details