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multiprocessing

library2.6.2.1pypypiunverified

This PyPI package `multiprocessing` (version 2.6.2.1) is a backport of the standard library `multiprocessing` module, designed specifically for Python 2.4 and 2.5. It provides process-based parallelism for these very old, end-of-life Python versions. It is not intended for use with Python 2.6+ or Python 3.x, which include `multiprocessing` in their standard libraries.

data

# Nothing to install - multiprocessing is in the standard library.
import multiprocessing

package ↗homepage ↗

INSTALL

IMPORT

SIG · MULTIPROCESSING

multiprocessing

datapythonv2.6.2.1

Install

—

Import

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Disk

—

Pass rate

0/ 10

Env Coverage0 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v? · pip install

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.910 runs

build_error

glibc

py 3.10–3.910 runs

build_error

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

Process

✓ from multiprocessing import Process

This import path is consistent with the standard library version but applies to the backport.

A basic example demonstrating how to create and run a process using the backported `multiprocessing` module. This code is written for Python 2.x syntax.

# For Python 2.4/2.5 using the multiprocessing backport import multiprocessing import os def worker_function(name): print "Worker %s: PID %s" % (name, os.getpid()) return if __name__ == '__main__': # The 'if __name__ == '__main__':` guard is crucial, especially on Windows. process = multiprocessing.Process(target=worker_function, args=('Alice',)) process.start() process.join() print "Main process: PID %s" % os.getpid()

Debug

Known issues

breaking`multiprocessing` is part of the standard library in every Python we test (3.9-3.13). The PyPI package of the same name is a backport for Python versions that are all end-of-life. Installing it on a supported Python shadows the standard-library module and breaks imports in ways that are hard to diagnose, because the failure appears in unrelated code.

fix

Do not install it. `import multiprocessing` works out of the box. If a requirements file pins it, delete the line.

affects: Python 3.9+

breakingThis PyPI package is a backport for Python 2.4/2.5 and is not compatible with Python 3.x. Attempting to use it will lead to syntax errors or unexpected behavior.

fix

For Python 3.x, use the built-in `multiprocessing` module directly without `pip install multiprocessing`.

affects: 2.x.x.x

gotchaInstalling `multiprocessing` via pip in Python 2.6+, 2.7, or Python 3.x environments will result in an old, incompatible version being installed. This can cause conflicts with the standard library module or lead to confusion.

fix

Do not install this package on Python 2.6+ or Python 3.x. The functionality is built into the standard library.

affects: 2.x.x.x

deprecatedThis package is a backport for Python 2.4/2.5, both of which are long past their end-of-life. The package is considered abandoned and should not be used for new development. Critical security vulnerabilities or bugs will not be addressed.

fix

Upgrade to a modern, supported Python version (Python 3.x) and utilize its built-in `multiprocessing` module.

affects: 2.x.x.x

Upgrade

Version history

2.6.2.1latest on PyPI · released Jul 30, 2009

Audit

Dependencies

No dependency data recorded yet.

Agent activity

11 hits · last 30 days

node

Anthropic

Resources

packagehttps://pypi.org/project/multiprocessing/ ↗

homepagehttp://code.google.com/p/python-multiprocessing ↗