Skip to main content

Removes unused imports and unused variables

Project description

autoflake

Build Status

Introduction

autoflake removes unused imports and unused variables from Python code. It makes use of pyflakes to do this.

By default, autoflake only removes unused imports for modules that are part of the standard library. (Other modules may have side effects that make them unsafe to remove automatically.) Removal of unused variables is also disabled by default.

autoflake also removes useless pass statements by default.

Example

Running autoflake on the below example

$ autoflake --in-place --remove-unused-variables example.py
import math
import re
import os
import random
import multiprocessing
import grp, pwd, platform
import subprocess, sys


def foo():
    from abc import ABCMeta, WeakSet
    try:
        import multiprocessing
        print(multiprocessing.cpu_count())
    except ImportError as exception:
        print(sys.version)
    return math.pi

results in

import math
import sys


def foo():
    try:
        import multiprocessing
        print(multiprocessing.cpu_count())
    except ImportError:
        print(sys.version)
    return math.pi

Installation

$ pip install --upgrade autoflake

Advanced usage

To allow autoflake to remove additional unused imports (other than than those from the standard library), use the --imports option. It accepts a comma-separated list of names:

$ autoflake --imports=django,requests,urllib3 <filename>

To remove all unused imports (whether or not they are from the standard library), use the --remove-all-unused-imports option.

To remove unused variables, use the --remove-unused-variables option.

Below is the full listing of options:

usage: autoflake [-h] [-c] [-r] [-j n] [--exclude globs] [--imports IMPORTS] [--expand-star-imports] [--remove-all-unused-imports] [--ignore-init-module-imports] [--remove-duplicate-keys]
                 [--remove-unused-variables] [--version] [--quiet] [-v] [--stdin-display-name STDIN_DISPLAY_NAME] [-i | -s]
                 files [files ...]

Removes unused imports and unused variables as reported by pyflakes.

positional arguments:
  files                 files to format

options:
  -h, --help            show this help message and exit
  -c, --check           return error code if changes are needed
  -r, --recursive       drill down directories recursively
  -j n, --jobs n        number of parallel jobs; match CPU count if value is 0 (default: 0)
  --exclude globs       exclude file/directory names that match these comma-separated globs
  --imports IMPORTS     by default, only unused standard library imports are removed; specify a comma-separated list of additional modules/packages
  --expand-star-imports
                        expand wildcard star imports with undefined names; this only triggers if there is only one star import in the file; this is skipped if there are any uses of `__all__` or `del` in the file
  --remove-all-unused-imports
                        remove all unused imports (not just those from the standard library)
  --ignore-init-module-imports
                        exclude __init__.py when removing unused imports
  --ignore-pass-statements
                        keep all `pass` statements
  --ignore-pass-after-docstring
                        keep `pass` statements after a new line ending on """
  --remove-duplicate-keys
                        remove all duplicate keys in objects
  --remove-unused-variables
                        remove unused variables
  --remove-rhs-for-unused-variables
                        remove RHS of statements when removing unused variables (unsafe)
  --version             show program's version number and exit
  --quiet               Suppress output if there are no issues
  -v, --verbose         print more verbose logs (you can repeat `-v` to make it more verbose)
  --stdin-display-name STDIN_DISPLAY_NAME
                        the name used when processing input from stdin
  -i, --in-place        make changes to files instead of printing diffs
  -s, --stdout          print changed text to stdout. defaults to true when formatting stdin, or to false otherwise

Configuration

Configure default arguments using a pyproject.toml file:

[tool.autoflake]
check = true
imports = ["django", "requests", "urllib3"]

Or a setup.cfg file:

[autoflake]
check=true
imports=django,requests,urllib3

The name of the configuration parameters match the flags (e.g. use the parameter expand-star-imports for the flag --expand-star-imports).

Tests

To run the unit tests::

$ ./test_autoflake.py

There is also a fuzz test, which runs against any collection of given Python files. It tests autoflake against the files and checks how well it does by running pyflakes on the file before and after. The test fails if the pyflakes results change for the worse. (This is done in memory. The actual files are left untouched.)::

$ ./test_fuzz.py --verbose

Excluding specific lines

It might be the case that you have some imports for their side effects, even if you are not using them directly in that file.

That is common, for example, in Flask based applications. In where you import Python modules (files) that imported a main app, to have them included in the routes.

For example:

from .endpoints import role, token, user, utils

As those imports are not being used directly, if you are using the option --remove-all-unused-imports, they would be removed.

To prevent that, without having to exclude the entire file, you can add a # noqa comment at the end of the line, like:

from .endpoints import role, token, user, utils  # noqa

That line will instruct autoflake to let that specific line as is.

Using pre-commit hooks

Add the following to your .pre-commit-config.yaml

-   repo: https://github.com/PyCQA/autoflake
    rev: v1.6.1
    hooks:
    -   id: autoflake

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

autoflake-1.6.1.tar.gz (26.7 kB view details)

Uploaded Source

Built Distribution

autoflake-1.6.1-py2.py3-none-any.whl (17.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file autoflake-1.6.1.tar.gz.

File metadata

  • Download URL: autoflake-1.6.1.tar.gz
  • Upload date:
  • Size: 26.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for autoflake-1.6.1.tar.gz
Algorithm Hash digest
SHA256 72bce741144ef6db26005d47dba242c1fd6a91ea53f7f4c5a90ad4b051e394c2
MD5 529124ee4f66112eaca62e740e21dea6
BLAKE2b-256 7c394cb913a80105c532f33f5c3a52f01e3d64fa7f1de2a8c1106cf40ff21d2b

See more details on using hashes here.

Provenance

File details

Details for the file autoflake-1.6.1-py2.py3-none-any.whl.

File metadata

  • Download URL: autoflake-1.6.1-py2.py3-none-any.whl
  • Upload date:
  • Size: 17.0 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.10.6

File hashes

Hashes for autoflake-1.6.1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 dfef4c851fb07e6111f9115d3e7c8c52d8564cbf71c12ade2d8b8a2a7b8bd176
MD5 be130bdda356009675cc9e6e517e7c35
BLAKE2b-256 1431bb02ec9fd27b688dfa966c1bd71b21337c1765aec7d69376657757173369

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page