Skip to main content

loto : Lockout-Tagout

Loto provides a simple decorator for functions that need to access critical sections with mutex locks.

When you decorate a function with @LockoutTagout(tag), the function call will block until it can acquire a mutex lock shared between all functions with the same tag.

Example

from loto import LockoutTagout

from threading import Thread
from random import random
from time import sleep

data = [1, 2, 3]

@LockoutTagout('data1')
def readData1(sharedData):
    for val in sharedData:
        print(val)
        sleep(random())

@LockoutTagout('data1')
def writeData1(sharedData):
    for i in range(0, 3):
        sharedData[i] += 1
        sleep(random())

for i in range(0, 5):
    Thread(target=readData1, args=(data,)).start()
    Thread(target=writeData1, args=(data,)).start()

These two functions will lockout-tagout with the same tag, so they will acquire a lock managed by this decorator class before they're executed. This means that no two functions with the same tag can be executing concurrently.

One mutex lock is managed per unique tag.

Installation

You can install this module from PyPI with

pip install loto

Metadata

Release files for loto 0.1.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for loto 0.1.5
File Size Uploaded Provenance
loto-0.1.5.tar.gz 2.9 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for loto 0.1.5
File Interpreter ABI Platform
loto-0.1.5-py3-none-any.whl Python 3 none any Details

Total release size: 7.2 kB

Release files / loto-0.1.5.tar.gz

Download URL loto-0.1.5.tar.gz
Size 2.9 kB
Tags Source
SHA-256 checksum
How to use checksums
605ceb33136ed002179362ea7653ffeee422208a8da399546be165abb8c51470
BLAKE2b-256 checksum
How to use checksums
31edf4ef2968888f1ffa41eed7bee8e090d2122f9f3c622342b2e1ebfbf9ab4c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.3

Release files / loto-0.1.5-py3-none-any.whl

Download URL loto-0.1.5-py3-none-any.whl
Size 4.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8cc11527ab765864c8203f3f9aa57b3ee3e6fe0bd7e35b4d833b96a0aa7cf028
BLAKE2b-256 checksum
How to use checksums
0be65ae9d6988d627dcf4c87c8d5b649426f2722c71a22a8292041ac9c89659b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.0.1 requests-toolbelt/0.9.1 tqdm/4.32.2 CPython/3.6.3

Security for loto 0.1.5

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.1.5 This release

2 release files No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page