========= eradicate

.. image:: https://github.com/myint/eradicate/actions/workflows/test.yml/badge.svg :target: https://github.com/myint/eradicate/actions/workflows/test.yml :alt: Build status

eradicate removes commented-out code from Python files.

Introduction

With modern revision control available, there is no reason to save commented-out code to your repository. eradicate helps cleans up existing junk comments. It does this by detecting block comments that contain valid Python syntax that are likely to be commented out code. (It avoids false positives like the sentence this is not good, which is valid Python syntax, but is probably not code.)

Example

.. code-block:: bash

$ eradicate --in-place example.py

Before running eradicate.

.. code-block:: python

#import os
# from foo import junk
#a = 3
a = 4
#foo(1, 2, 3)

def foo(x, y, z):
    # print('hello')
    print(x, y, z)

    # This is a real comment.
    #return True
    return False

After running eradicate.

.. code-block:: python

a = 4

def foo(x, y, z):
    print(x, y, z)

    # This is a real comment.
    return False

Whitelisting

False positives can happen so there is a whitelist feature to fix them shorthand. You can either add entries to the default whitelist with --whitelist-extend or overwrite the default with --whitelist. Both arguments expect a string of # separated regex strings (whitespaces are preserved). E.g. eradicate --whitelist "foo#b a r" filename Those regex strings are matched case insensitive against the start of the comment itself.

For the default whitelist please see eradicate.py.

Related

There are different tools, plugins, and integrations for eradicate users:

• flake8-eradicate <https://github.com/sobolevn/flake8-eradicate>_ - Flake8 plugin to find commented out or dead code.
• databricks-labs-pylint <https://github.com/databrickslabs/pylint-plugin#eradicate-checker>_ - Databricks-specific PyLint plugin, that can also find commented out code.