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https://github.com/gforcada/flake8-builtins

Check for python builtins being used as variables or parameters
https://github.com/gforcada/flake8-builtins

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Check for python builtins being used as variables or parameters

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.. -*- coding: utf-8 -*-

.. image:: https://github.com/gforcada/flake8-builtins/actions/workflows/testing.yml/badge.svg?branch=main
:target: https://github.com/gforcada/flake8-builtins/actions/workflows/testing.yml

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:target: https://coveralls.io/github/gforcada/flake8-builtins?branch=main

Flake8 Builtins plugin
======================
Check for python builtins being used as variables or parameters.

Imagine some code like this:

.. code:: Python

def max_values(list, list2):
max = list[0]
for x in list:
if x > 0:
max = x

all_values = list()
all_values.append(max)

max = list2[0]
for x in list2:
if x > 0:
max = x
all_values.append(max)

return all_values

max_values([3, 4, 5, ], [5, 6, 7])

The last statement is not returning ``[5, 7]`` as one would expect,
instead is raising this exception::

Traceback (most recent call last):
File "test.py", line 17, in
max_values([3,4,5], [4,5,6])
File "bla.py", line 6, in max_values
all_values = list()
TypeError: 'list' object is not callable

**Why?** Because ``max_value`` function's first argument is ``list`` a Python builtin.
Python allows to override them, but although could be useful in some really specific use cases,
the general approach is to **not** do that as code then can suddenly break without a clear trace.

Example
-------
Given the following code:

.. code:: Python

def my_method(object, list, dict):
max = 5
min = 3
zip = (4, 3)

The following warnings are shown (via flake8)::

test.py:1:15: A002 argument "object" is shadowing a python builtin
test.py:1:23: A002 argument "list" is shadowing a python builtin
test.py:1:29: A002 argument "dict" is shadowing a python builtin
test.py:2:5: A001 variable "max" is shadowing a python builtin
test.py:3:5: A001 variable "min" is shadowing a python builtin
test.py:4:5: A001 variable "zip" is shadowing a python builtin

Install
-------
Install with pip::

$ python -m pip install flake8-builtins

Options
-------

One can use `--builtins-ignorelist` option, or configuration option,
to ignore a custom list of builtins::

$ flake8 --builtins-ignorelist id,copyright *.py

Requirements
------------
- Python 3.8, 3.9, 3.10, 3.11, 3.12, and pypy3
- flake8

Rules
-----

A001:
A variable is shadowing a Python builtin.

A002:
An argument is shadowing a Python builtin.

A003:
A class attribute is shadowing a Python builtin.

A004:
An import statement is shadowing a Python builtin.

A005:
A module is shadowing a Python builtin module (e.g: `logging` or `socket`)

A006:
A lambda argument is shadowing a Python builtin.

License
-------
GPL 2.0