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Convenient multiprocessing with Message Queues

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Features

  • Lightning-fast startup: New processes launch in just 10ms.
  • Lightning-fast execution: Sending code (with parameters) takes only 0.8ms.
  • Easy to use: Thanks to interactivity.py, minimal modifications are required.
  • Automatically suspends when idle, conserving resources.

Usage

(We recommend referring to example.py for guidance)

Creating Processes

import multiprocessing_mq as mq
my_pro = mq.Process(init=init_code, suspend=True, rest_time=0)

Parameters

  • init: Initialization code.
  • suspend: Whether to suspend.
  • rest_time: Sleep time.
  • process_events: Performs event loop while waiting for process to resume, preventing UI from freezing.

Usage

There are multiple ways to send tasks to child processes. Among them, using inter is the simplest.

inter

Create a virtual class to simulate the environment of a child process. For example, to retrieve the value of a inside the child process, you only need my_pro.inter.a. Running a function only requires my_pro.inter.a().

run_com

Run a function and wait for a return value.

run_com(self, code: str, args: dict = {}, process_events=None)
  • code: The code to execute.
  • args: Arguments (Note: args won't automatically pass parameters; you need to pass them yourself within code).
  • process_events: Performs an event loop while waiting for the process result, preventing the UI from freezing.

Note: run_com uses eval to execute functions, so you cannot use it to modify variable values (you can use run_without_return instead).

run_without_return

run_without_return(self, code: str, args: dict = {})

Run a function without waiting for a return value; internally uses exec.

Metadata

Release files for multiprocessing-mq 0.5

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Source distribution for multiprocessing-mq 0.5
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Table of built distributions (wheels) for multiprocessing-mq 0.5
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