para

library0.0.8pypypi✓ verified 83d ago

Para (v0.0.8) is a utility set that leverages Python's 'multiprocessing' module to distribute CPU-intensive tasks across multiple cores. It provides a simple API for parallel execution with built-in progress bar support and exception handling. Release cadence is irregular.

devops data

pip install para

github ↗package ↗

INSTALL

IMPORT

SIG · PARA

para

devopspythonv0.0.8

Install

1.6s avg

Import

61ms

Disk

16MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.0.8 · pip install

no network on importno background threads

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 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.064s · 17.8MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 1.6s · import 0.058s · 18MB

16MB installed

● package 16MB

Code

Verified usage

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

map

✓ from para import map

The primary function is map, used to apply a function to an iterable in parallel.

map_unordered

✓ from para import map_unordered

Returns results as they complete, useful for non-dependent tasks.

map_starmap

✓ from para import map_starmap

Like map but unpacks argument tuples.

Parallel mapping of a CPU-intensive function across 4 processes.

from para import map def square(x): return x * x results = map(square, range(10), nprocesses=4) print(list(results)) # [0, 1, 4, 9, 16, 25, 36, 49, 64, 81]

Debug

Known issues

gotchaThe library is very early stage (v0.0.8); API may change. Not recommended for production.

fix

Consider alternatives like concurrent.futures, multiprocessing.Pool, or joblib.

affects: >=0.0.0

gotchamap returns a generator, not a list. You must consume it (e.g., list(results)) to execute the tasks.

fix

Wrap call with list() or iterate explicitly.

affects: >=0.0.0

gotchaIf the function is not picklable (e.g., lambda, nested function, class method), multiprocessing will raise an error. Use functools.partial or top-level functions.

fix

Define the function at module level or use pathos.multiprocessing instead.

affects: >=0.0.0

Errors

Common errors & fixes

AttributeError: Can't pickle local object 'my_function.<locals>.<lambda>'

Lambda functions cannot be pickled by multiprocessing.

fix

Use a named top-level function instead of lambda.

TypeError: map() got an unexpected keyword argument 'nprocesses'

The parameter is 'nprocesses' (note the uppercase 'P'), not 'nprocesses'.

fix

Use correct keyword: map(func, data, nprocesses=4).

Upgrade

Version history

0.0.8latest on PyPI · released Jan 17, 2020

Audit

Dependencies

No dependency data recorded yet.

Agent activity

2 hits · last 30 days

node

Resources

githubhttps://github.com/halfak/para ↗

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