pep8radius | PEP8 clean only the parts of the files

by hayd Python Version: 0.9.2 License: MIT

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | pep8radius Summary

pep8radius is a Python library. pep8radius has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pep8radius' or download it from GitHub, PyPI.

PEP8 clean only the parts of the files touched since the last commit, a previous commit or (the merge-base of) a branch. Fixing the entire project of PEP8 infractions ("PEP8 storms") can lead to merge conflicts, add noise to merges / pull requests and break (git) blame. pep8radius solves this problem by fixing only those PEP8 infractions incontained on the lines of the project which you've been working, leaving these sections "better than you found it" whilst keeping your commits focused on the areas of the codebase you were actually working on.

Support

Quality

Security

License

Reuse

Support

pep8radius has a low active ecosystem.

It has 181 star(s) with 9 fork(s). There are 8 watchers for this library.

It had no major release in the last 12 months.

There are 16 open issues and 36 have been closed. On average issues are closed in 26 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pep8radius is 0.9.2

Quality

pep8radius has 0 bugs and 0 code smells.

Security

pep8radius has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pep8radius code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pep8radius is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pep8radius releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

pep8radius saves you 482 person hours of effort in developing the same functionality from scratch.

It has 1136 lines of code, 119 functions and 15 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pep8radius and discovered the below as its top functions. This is intended to give you an instant insight into pep8radius implemented functionality, and help decide if they suit your requirements.

Main entry point
Return list of local config files
Set config defaults
Parse command line arguments
Return the base revision name of the given revision
Wrapper around shell_out
Clean output
Shell out the output of a command
Returns a list of lines that have been modified
Yield line numbers from a diff string
Return a generator of modified lines from a diff
Returns a set of python files that differ from the command line
Returns the version number of the P8 radius
Return the contents of the README md file
Return the branch point
Return the list of modified lines of a file

Get all kandi verified functions for this library.

pep8radius Key Features

No Key Features are available at this moment for pep8radius.

pep8radius Examples and Code Snippets

No Code Snippets are available at this moment for pep8radius.

Community Discussions

No Community Discussions are available at this moment for pep8radius.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pep8radius

You can install using 'pip install pep8radius' or download it from GitHub, PyPI.
You can use pep8radius like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.