Skip to main content

A flake8 plugin to help you write better list/set/dict comprehensions.

Project description

https://img.shields.io/github/actions/workflow/status/adamchainz/flake8-comprehensions/main.yml?branch=main&style=for-the-badge https://img.shields.io/pypi/v/flake8-comprehensions.svg?style=for-the-badge https://img.shields.io/badge/code%20style-black-000000.svg?style=for-the-badge pre-commit

A flake8 plugin that helps you write better list/set/dict comprehensions.

Requirements

Python 3.7 to 3.11 supported.

Installation

First, install with pip:

python -m pip install flake8-comprehensions

Second, if you define Flake8’s select setting, add the C4 prefix to it. Otherwise, the plugin should be active by default.


Linting a Django project? Check out my book Boost Your Django DX which covers Flake8 and many other code quality tools.


Rules

C400-402: Unnecessary generator - rewrite as a <list/set/dict> comprehension.

It’s unnecessary to use list, set, or dict around a generator expression, since there are equivalent comprehensions for these types. For example:

  • Rewrite list(f(x) for x in foo) as [f(x) for x in foo]

  • Rewrite set(f(x) for x in foo) as {f(x) for x in foo}

  • Rewrite dict((x, f(x)) for x in foo) as {x: f(x) for x in foo}

C403-404: Unnecessary list comprehension - rewrite as a <set/dict> comprehension.

It’s unnecessary to use a list comprehension inside a call to set or dict, since there are equivalent comprehensions for these types. For example:

  • Rewrite set([f(x) for x in foo]) as {f(x) for x in foo}

  • Rewrite dict([(x, f(x)) for x in foo]) as {x: f(x) for x in foo}

C405-406: Unnecessary <list/tuple> literal - rewrite as a <set/dict> literal.

It’s unnecessary to use a list or tuple literal within a call to set or dict. For example:

  • Rewrite set([1, 2]) as {1, 2}

  • Rewrite set((1, 2)) as {1, 2}

  • Rewrite set([]) as set()

  • Rewrite dict([(1, 2)]) as {1: 2}

  • Rewrite dict(((1, 2),)) as {1: 2}

  • Rewrite dict([]) as {}

C408: Unnecessary <dict/list/tuple> call - rewrite as a literal.

It’s slower to call e.g. dict() than using the empty literal, because the name dict must be looked up in the global scope in case it has been rebound. Same for the other two basic types here. For example:

  • Rewrite dict() as {}

  • Rewrite dict(a=1, b=2) as {"a": 1, "b": 2}

  • Rewrite list() as []

  • Rewrite tuple() as ()

C409-410: Unnecessary <list/tuple> passed to <list/tuple>() - (remove the outer call to <list/tuple>``()/rewrite as a ``<list/tuple> literal).

It’s unnecessary to use a list or tuple literal within a call to list or tuple, since there is literal syntax for these types. For example:

  • Rewrite tuple([1, 2]) as (1, 2)

  • Rewrite tuple((1, 2)) as (1, 2)

  • Rewrite tuple([]) as ()

  • Rewrite list([1, 2]) as [1, 2]

  • Rewrite list((1, 2)) as [1, 2]

  • Rewrite list([]) as []

C411: Unnecessary list call - remove the outer call to list().

It’s unnecessary to use a list around a list comprehension, since it is equivalent without it. For example:

  • Rewrite list([f(x) for x in foo]) as [f(x) for x in foo]

C413: Unnecessary <list/reversed> call around sorted().

It’s unnecessary to use list() around sorted() as it already returns a list. It is also unnecessary to use reversed() around sorted() as the latter has a reverse argument. For example:

  • Rewrite list(sorted([2, 3, 1])) as sorted([2, 3, 1])

  • Rewrite reversed(sorted([2, 3, 1])) as sorted([2, 3, 1], reverse=True)

  • Rewrite reversed(sorted([2, 3, 1], reverse=True)) as sorted([2, 3, 1])

C414: Unnecessary <list/reversed/set/sorted/tuple> call within <list/set/sorted/tuple>().

It’s unnecessary to double-cast or double-process iterables by wrapping the listed functions within list/set/sorted/tuple. For example:

  • Rewrite list(list(iterable)) as list(iterable)

  • Rewrite list(tuple(iterable)) as list(iterable)

  • Rewrite tuple(list(iterable)) as tuple(iterable)

  • Rewrite tuple(tuple(iterable)) as tuple(iterable)

  • Rewrite set(set(iterable)) as set(iterable)

  • Rewrite set(list(iterable)) as set(iterable)

  • Rewrite set(tuple(iterable)) as set(iterable)

  • Rewrite set(sorted(iterable)) as set(iterable)

  • Rewrite set(reversed(iterable)) as set(iterable)

  • Rewrite sorted(list(iterable)) as sorted(iterable)

  • Rewrite sorted(tuple(iterable)) as sorted(iterable)

  • Rewrite sorted(sorted(iterable)) as sorted(iterable)

  • Rewrite sorted(reversed(iterable)) as sorted(iterable)

C415: Unnecessary subscript reversal of iterable within <reversed/set/sorted>().

It’s unnecessary to reverse the order of an iterable when passing it into one of the listed functions will change the order again. For example:

  • Rewrite set(iterable[::-1]) as set(iterable)

  • Rewrite sorted(iterable)[::-1] as sorted(iterable, reverse=True)

  • Rewrite reversed(iterable[::-1]) as iterable

C416: Unnecessary <dict/list/set> comprehension - rewrite using <dict/list/set>().

It’s unnecessary to use a dict/list/set comprehension to build a data structure if the elements are unchanged. Wrap the iterable with dict(), list(), or set() instead. For example:

  • Rewrite {a: b for a, b in iterable} as dict(iterable)

  • Rewrite [x for x in iterable] as list(iterable)

  • Rewrite {x for x in iterable} as set(iterable)

C417: Unnecessary map usage - rewrite using a generator expression/<list/set/dict> comprehension.

map(func, iterable) has great performance when func is a built-in function, and it makes sense if your function already has a name. But if your func is a lambda, it’s faster to use a generator expression or a comprehension, as it avoids the function call overhead. For example:

  • Rewrite map(lambda x: x + 1, iterable) to (x + 1 for x in iterable)

  • Rewrite map(lambda item: get_id(item), items) to (get_id(item) for item in items)

  • Rewrite list(map(lambda num: num * 2, nums)) to [num * 2 for num in nums]

  • Rewrite set(map(lambda num: num % 2 == 0, nums)) to {num % 2 == 0 for num in nums}

  • Rewrite dict(map(lambda v: (v, v ** 2), values)) to {v : v ** 2 for v in values}

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

flake8_comprehensions-3.11.0.tar.gz (14.2 kB view details)

Uploaded Source

Built Distribution

flake8_comprehensions-3.11.0-py3-none-any.whl (7.5 kB view details)

Uploaded Python 3

File details

Details for the file flake8_comprehensions-3.11.0.tar.gz.

File metadata

File hashes

Hashes for flake8_comprehensions-3.11.0.tar.gz
Algorithm Hash digest
SHA256 d06a95fdf2dabf6a7632550fed4a10d0449d00473875b1e4b167ca84d4daee59
MD5 2fd188c8ed4591171070dfc19751692d
BLAKE2b-256 c77d7cf3f3656849e1c1d13e367a51bc5f7f9710534fe73f44dc5621be780dae

See more details on using hashes here.

File details

Details for the file flake8_comprehensions-3.11.0-py3-none-any.whl.

File metadata

File hashes

Hashes for flake8_comprehensions-3.11.0-py3-none-any.whl
Algorithm Hash digest
SHA256 820b6463d4964249b7380432f3aac2f26d4a86c7d52cbe9d53dfd9e1caf01b33
MD5 73c698454ffb0a46c706f7dc88438126
BLAKE2b-256 f7827ca05cacd6c3146b957d9c48fab3ab51723e4ed932b9c909a872f94e97fb

See more details on using hashes here.

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