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mswp

Decorator that automatically clears temporary local variables upon function execution, effectively preventing clutter and mitigating memory leaks.

https://github.com/louisbrulenaudet/mswp

Science Score: 44.0%

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    Low similarity (10.6%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

Decorator that automatically clears temporary local variables upon function execution, effectively preventing clutter and mitigating memory leaks.

Basic Info
  • Host: GitHub
  • Owner: louisbrulenaudet
  • License: apache-2.0
  • Language: Python
  • Default Branch: main
  • Size: 18.6 KB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 1
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme Funding License Citation Security

README.md

mswp, a decorator that clears temporary local variables upon function execution, preventing clutter and mitigating memory leaks

Python License Maintainer

mswp is a Python decorator designed to enhance code cleanliness and mitigate potential memory leaks by automatically clearing temporary local variables after function execution.

Overview

Python functions often create temporary variables for intermediate computations, which can clutter the local namespace and potentially lead to memory leaks if not properly managed. mswp addresses this issue by providing a simple yet powerful decorator that automatically cleans up temporary local variables, ensuring an efficient execution environment.

Installation

You can install mswp via pip:

bash pip3 install mswp

Usage

To use mswp, simply decorate your functions with @mswp. This ensures that any temporary local variables used within the function are cleared upon completion, promoting code cleanliness and efficient memory usage.

```python from mswp import clear

@clear def myfunction(): tempvar = 10 # Your code here return result ``` In this example, my_function is decorated with @clear, ensuring that any temporary local variables used within it are cleared upon completion.

Parameters

func: The function to be decorated.

Returns

function: The decorated function.

Features

  • Automatic Cleanup: mswp automatically clears temporary local variables after function execution, preventing clutter and potential memory leaks.

  • Simplified Syntax: With a simple decorator, mswp streamlines code maintenance and promotes readability.

  • Error Handling: mswp provides robust error handling to ensure reliable execution even in the presence of exceptions.

Citing this project

If you use this code in your research, please use the following BibTeX entry.

BibTeX @misc{louisbrulenaudet2023, author = {Louis Brulé Naudet}, title = {mswp, a decorator that automatically clears temporary local variables upon function execution, effectively preventing clutter and mitigating memory leaks}, howpublished = {\url{https://github.com/louisbrulenaudet/mswp}}, year = {2024} }

Feedback

If you have any feedback, please reach out at louisbrulenaudet@icloud.com.

Owner

  • Name: Louis Brulé Naudet
  • Login: louisbrulenaudet
  • Kind: user
  • Location: Paris
  • Company: Université Paris-Dauphine (Paris Sciences et Lettres - PSL)

Research in business taxation and development (NLP, LLM, Computer vision...), University Dauphine-PSL 📖 | Backed by the Microsoft for Startups Hub program

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Brulé Naudet"
  given-names: "Louis"
  orcid: "https://orcid.org/0000-0001-9111-4879"
title: "mswp, a decorator that automatically clears temporary local variables upon function execution, effectively preventing clutter and mitigating memory leaks"
version: 1.0.0
date-released: 2024-02-21

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Last synced: 11 months ago

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Packages

  • Total packages: 1
  • Total downloads:
    • pypi 15 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
pypi.org: mswp

A decorator that automatically clears temporary local variables upon function execution, effectively preventing clutter and mitigating memory leaks.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 15 Last month
Rankings
Dependent packages count: 9.8%
Average: 37.3%
Dependent repos count: 64.8%
Maintainers (1)
louisbrulenaudet
Last synced: 10 months ago

Dependencies

pyproject.toml pypi