yapf

yapf

Python代码格式化工具 自动优化代码规范

YAPF是一个基于clang-format的Python代码格式化工具,可自动优化代码风格以符合指定的样式指南。它支持PEP8、Google等多种预定义样式,并允许自定义规则。YAPF既可作为命令行工具使用,也可集成到各种编辑器中。该工具旨在生成与遵循样式指南的程序员手写代码质量相当的格式化结果,为开发者提供便捷的代码美化功能。

YAPFPython格式化工具代码风格命令行工具编辑器插件Github开源项目

YAPF

<p align="center"> <a href="https://badge.fury.io/py/yapf"><img alt="PyPI Version" src="https://badge.fury.io/py/yapf.svg"></a> <a href="https://github.com/google/yapf/actions/workflows/ci.yml"><img alt="Build Status" src="https://github.com/google/yapf/actions/workflows/ci.yml/badge.svg"></a> <a href="https://github.com/google/yapf/actions/workflows/pre-commit.yml"><img alt="Actions Status" src="https://github.com/google/yapf/actions/workflows/pre-commit.yml/badge.svg"></a> <a href="https://coveralls.io/github/google/yapf?branch=main"><img alt="Coverage Status" src="https://coveralls.io/repos/github/google/yapf/badge.svg?branch=main"></a> </p>

Introduction

YAPF is a Python formatter based on clang-format (developed by Daniel Jasper). In essence, the algorithm takes the code and calculates the best formatting that conforms to the configured style. It takes away a lot of the drudgery of maintaining your code.

The ultimate goal is that the code YAPF produces is as good as the code that a programmer would write if they were following the style guide.

Note YAPF is not an official Google product (experimental or otherwise), it is just code that happens to be owned by Google.

Installation

To install YAPF from PyPI:

$ pip install yapf

YAPF is still considered in "beta" stage, and the released version may change often; therefore, the best way to keep up-to-date with the latest development is to clone this repository or install directly from github:

$ pip install git+https://github.com/google/yapf.git

Note that if you intend to use YAPF as a command-line tool rather than as a library, installation is not necessary. YAPF supports being run as a directory by the Python interpreter. If you cloned/unzipped YAPF into DIR, it's possible to run:

$ PYTHONPATH=DIR python DIR/yapf [options] ...

Using YAPF within your favorite editor

YAPF is supported by multiple editors via community extensions or plugins. See Editor Support for more info.

Required Python versions

YAPF supports Python 3.7+.

Usage

usage: yapf [-h] [-v] [-d | -i | -q] [-r | -l START-END] [-e PATTERN] [--style STYLE] [--style-help] [--no-local-style] [-p] [-m] [-vv] [files ...] Formatter for Python code. positional arguments: files reads from stdin when no files are specified. optional arguments: -h, --help show this help message and exit -v, --version show program's version number and exit -d, --diff print the diff for the fixed source -i, --in-place make changes to files in place -q, --quiet output nothing and set return value -r, --recursive run recursively over directories -l START-END, --lines START-END range of lines to reformat, one-based -e PATTERN, --exclude PATTERN patterns for files to exclude from formatting --style STYLE specify formatting style: either a style name (for example "pep8" or "google"), or the name of a file with style settings. The default is pep8 unless a .style.yapf or setup.cfg or pyproject.toml file located in the same directory as the source or one of its parent directories (for stdin, the current directory is used). --style-help show style settings and exit; this output can be saved to .style.yapf to make your settings permanent --no-local-style don't search for local style definition -p, --parallel run YAPF in parallel when formatting multiple files. -m, --print-modified print out file names of modified files -vv, --verbose print out file names while processing

Return Codes

Normally YAPF returns zero on successful program termination and non-zero otherwise.

If --diff is supplied, YAPF returns zero when no changes were necessary, non-zero otherwise (including program error). You can use this in a CI workflow to test that code has been YAPF-formatted.

Excluding files from formatting (.yapfignore or pyproject.toml)

In addition to exclude patterns provided on commandline, YAPF looks for additional patterns specified in a file named .yapfignore or pyproject.toml located in the working directory from which YAPF is invoked.

.yapfignore's syntax is similar to UNIX's filename pattern matching:

*       matches everything
?       matches any single character
[seq]   matches any character in seq
[!seq]  matches any character not in seq

Note that no entry should begin with ./.

If you use pyproject.toml, exclude patterns are specified by ignore_patterns key in [tool.yapfignore] section. For example:

[tool.yapfignore] ignore_patterns = [ "temp/**/*.py", "temp2/*.py" ]

Formatting style

The formatting style used by YAPF is configurable and there are many "knobs" that can be used to tune how YAPF does formatting. See the style.py module for the full list.

To control the style, run YAPF with the --style argument. It accepts one of the predefined styles (e.g., pep8 or google), a path to a configuration file that specifies the desired style, or a dictionary of key/value pairs.

The config file is a simple listing of (case-insensitive) key = value pairs with a [style] heading. For example:

[style] based_on_style = pep8 spaces_before_comment = 4 split_before_logical_operator = true

The based_on_style setting determines which of the predefined styles this custom style is based on (think of it like subclassing). Four styles are predefined:

  • pep8 (default)
  • google (based off of the Google Python Style Guide)
  • yapf (for use with Google open source projects)
  • facebook

See _STYLE_NAME_TO_FACTORY in style.py for details.

It's also possible to do the same on the command line with a dictionary. For example:

--style='{based_on_style: pep8, indent_width: 2}'

This will take the pep8 base style and modify it to have two space indentations.

YAPF will search for the formatting style in the following manner:

  1. Specified on the command line
  2. In the [style] section of a .style.yapf file in either the current directory or one of its parent directories.
  3. In the [yapf] section of a setup.cfg file in either the current directory or one of its parent directories.
  4. In the [tool.yapf] section of a pyproject.toml file in either the current directory or one of its parent directories.
  5. In the [style] section of a ~/.config/yapf/style file in your home directory.

If none of those files are found, the default style PEP8 is used.

Example

An example of the type of formatting that YAPF can do, it will take this ugly code:

x = { 'a':37,'b':42, 'c':927} y = 'hello ''world' z = 'hello '+'world' a = 'hello {}'.format('world') class foo ( object ): def f (self ): return 37*-+2 def g(self, x,y=42): return y def f ( a ) : return 37+-+a[42-x : y**3]

and reformat it into:

x = {'a': 37, 'b': 42, 'c': 927} y = 'hello ' 'world' z = 'hello ' + 'world' a = 'hello {}'.format('world') class foo(object): def f(self): return 37 * -+2 def g(self, x, y=42): return y def f(a): return 37 + -+a[42 - x:y**3]

Example as a module

The two main APIs for calling YAPF are FormatCode and FormatFile, these share several arguments which are described below:

>>> from yapf.yapflib.yapf_api import FormatCode # reformat a string of code >>> formatted_code, changed = FormatCode("f ( a = 1, b = 2 )") >>> formatted_code 'f(a=1, b=2)\n' >>> changed True

A style_config argument: Either a style name or a path to a file that contains formatting style settings. If None is specified, use the default style as set in style.DEFAULT_STYLE_FACTORY.

>>> FormatCode("def g():\n return True", style_config='pep8')[0] 'def g():\n return True\n'

A lines argument: A list of tuples of lines (ints), [start, end], that we want to format. The lines are 1-based indexed. It can be used by third-party code (e.g., IDEs) when reformatting a snippet of code rather than a whole file.

>>> FormatCode("def g( ):\n a=1\n b = 2\n return a==b", lines=[(1, 1), (2, 3)])[0] 'def g():\n a = 1\n b = 2\n return a==b\n'

A print_diff (bool): Instead of returning the reformatted source, return a diff that turns the formatted source into reformatted source.

>>> print(FormatCode("a==b", filename="foo.py", print_diff=True)[0]) --- foo.py (original) +++ foo.py (reformatted) @@ -1 +1 @@ -a==b +a == b

Note: the filename argument for FormatCode is what is inserted into the diff, the default is <unknown>.

FormatFile returns reformatted code from the passed file along with its encoding:

>>> from yapf.yapflib.yapf_api import FormatFile # reformat a file >>> print(open("foo.py").read()) # contents of file a==b >>> reformatted_code, encoding, changed = FormatFile("foo.py") >>> formatted_code 'a == b\n' >>> encoding 'utf-8' >>> changed True

The in_place argument saves the reformatted code back to the file:

>>> FormatFile("foo.py", in_place=True)[:2] (None, 'utf-8') >>> print(open("foo.py").read()) # contents of file (now fixed) a == b

Formatting diffs

Options:

usage: yapf-diff [-h] [-i] [-p NUM] [--regex PATTERN] [--iregex PATTERN][-v] [--style STYLE] [--binary BINARY] This script reads input from a unified diff and reformats all the changed lines. This is useful to reformat all the lines touched by a specific patch. Example usage for git/svn users: git diff -U0 --no-color --relative HEAD^ | yapf-diff -i svn diff --diff-cmd=diff -x-U0 | yapf-diff -p0 -i It should be noted that the filename contained in the diff is used unmodified to determine the source file to update. Users calling this script directly should be careful to ensure that the path in the diff is correct relative to the current working directory. optional arguments: -h, --help show this help message and exit -i, --in-place apply edits to files instead of displaying a diff -p NUM, --prefix NUM strip the smallest prefix containing P slashes --regex PATTERN custom pattern selecting file paths to reformat (case sensitive, overrides -iregex) --iregex PATTERN custom pattern selecting file paths to reformat (case insensitive, overridden by -regex) -v, --verbose be more verbose, ineffective without -i --style STYLE specify formatting style: either a style name (for example "pep8" or "google"), or the name of a file with style settings. The default is pep8 unless a .style.yapf or setup.cfg or pyproject.toml file located in the same directory as the source or one of its parent directories (for stdin, the current directory is used). --binary BINARY location of binary to use for YAPF

Python features not yet supported

Knobs

ALIGN_CLOSING_BRACKET_WITH_VISUAL_INDENT

Align closing bracket with visual indentation.

ALLOW_MULTILINE_LAMBDAS

Allow lambdas to be formatted on more than one line.

ALLOW_MULTILINE_DICTIONARY_KEYS

Allow dictionary keys to exist on multiple lines. For example:

x = { ('this is the first element of a tuple', 'this is the second element of a tuple'): value, }

ALLOW_SPLIT_BEFORE_DEFAULT_OR_NAMED_ASSIGNS

Allow splitting before a default / named assignment in an argument list.

ALLOW_SPLIT_BEFORE_DICT_VALUE

Allow splits before the dictionary value.

ARITHMETIC_PRECEDENCE_INDICATION

Let spacing indicate operator precedence. For example:

a = 1 * 2 + 3 / 4 b = 1 / 2 - 3 * 4 c = (1 + 2) * (3 - 4) d = (1 - 2) / (3 + 4) e = 1 * 2 - 3 f = 1 + 2 + 3 + 4

will be formatted as follows to indicate precedence:

a = 1*2 + 3/4 b = 1/2 - 3*4 c = (1+2) * (3-4) d = (1-2) / (3+4) e = 1*2 - 3 f = 1 + 2 + 3 + 4

BLANK_LINES_AROUND_TOP_LEVEL_DEFINITION

Sets the number of desired blank lines surrounding top-level function and class definitions. For example:

class Foo: pass # <------ having two blank lines here # <------ is the default setting class Bar: pass

BLANK_LINE_BEFORE_CLASS_DOCSTRING

Insert a blank line before a class-level docstring.

BLANK_LINE_BEFORE_MODULE_DOCSTRING

Insert a blank line before a module docstring.

BLANK_LINE_BEFORE_NESTED_CLASS_OR_DEF

Insert a blank line before a def or class immediately nested within another def or class. For example:

class Foo: # <------ this blank line def method(): pass

BLANK_LINES_BETWEEN_TOP_LEVEL_IMPORTS_AND_VARIABLES

Sets the number of desired blank lines between top-level imports and variable definitions. Useful for compatibility with tools like isort.

COALESCE_BRACKETS

Do not split consecutive brackets. Only relevant when DEDENT_CLOSING_BRACKETS or INDENT_CLOSING_BRACKETS is set. For example:

call_func_that_takes_a_dict( { 'key1': 'value1', 'key2': 'value2', } )

would reformat to:

call_func_that_takes_a_dict({ 'key1': 'value1', 'key2': 'value2', })

COLUMN_LIMIT

The column limit (or max line-length)

CONTINUATION_ALIGN_STYLE

The style for continuation alignment. Possible values are:

  • SPACE: Use spaces for continuation alignment. This is default behavior.
  • FIXED: Use fixed number (CONTINUATION_INDENT_WIDTH) of columns (i.e. CONTINUATION_INDENT_WIDTH/INDENT_WIDTH tabs or CONTINUATION_INDENT_WIDTH spaces) for continuation alignment.
  • VALIGN-RIGHT: Vertically align continuation lines to multiple of

编辑推荐精选

音述AI

音述AI

全球首个AI音乐社区

音述AI是全球首个AI音乐社区,致力让每个人都能用音乐表达自我。音述AI提供零门槛AI创作工具,独创GETI法则帮助用户精准定义音乐风格,AI润色功能支持自动优化作品质感。音述AI支持交流讨论、二次创作与价值变现。针对中文用户的语言习惯与文化背景进行专门优化,支持国风融合、C-pop等本土音乐标签,让技术更好地承载人文表达。

lynote.ai

lynote.ai

一站式搞定所有学习需求

不再被海量信息淹没,开始真正理解知识。Lynote 可摘要 YouTube 视频、PDF、文章等内容。即时创建笔记,检测 AI 内容并下载资料,将您的学习效率提升 10 倍。

AniShort

AniShort

为AI短剧协作而生

专为AI短剧协作而生的AniShort正式发布,深度重构AI短剧全流程生产模式,整合创意策划、制作执行、实时协作、在线审片、资产复用等全链路功能,独创无限画布、双轨并行工业化工作流与Ani智能体助手,集成多款主流AI大模型,破解素材零散、版本混乱、沟通低效等行业痛点,助力3人团队效率提升800%,打造标准化、可追溯的AI短剧量产体系,是AI短剧团队协同创作、提升制作效率的核心工具。

seedancetwo2.0

seedancetwo2.0

能听懂你表达的视频模型

Seedance two是基于seedance2.0的中国大模型,支持图像、视频、音频、文本四种模态输入,表达方式更丰富,生成也更可控。

nano-banana纳米香蕉中文站

nano-banana纳米香蕉中文站

国内直接访问,限时3折

输入简单文字,生成想要的图片,纳米香蕉中文站基于 Google 模型的 AI 图片生成网站,支持文字生图、图生图。官网价格限时3折活动

扣子-AI办公

扣子-AI办公

职场AI,就用扣子

AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!

堆友

堆友

多风格AI绘画神器

堆友平台由阿里巴巴设计团队创建,作为一款AI驱动的设计工具,专为设计师提供一站式增长服务。功能覆盖海量3D素材、AI绘画、实时渲染以及专业抠图,显著提升设计品质和效率。平台不仅提供工具,还是一个促进创意交流和个人发展的空间,界面友好,适合所有级别的设计师和创意工作者。

图像生成热门AI工具AI图像AI反应堆AI工具箱AI绘画GOAI艺术字堆友相机
码上飞

码上飞

零代码AI应用开发平台

零代码AI应用开发平台,用户只需一句话简单描述需求,AI能自动生成小程序、APP或H5网页应用,无需编写代码。

Vora

Vora

免费创建高清无水印Sora视频

Vora是一个免费创建高清无水印Sora视频的AI工具

Refly.AI

Refly.AI

最适合小白的AI自动化工作流平台

无需编码,轻松生成可复用、可变现的AI自动化工作流

下拉加载更多