脚本专栏 
首页 > 脚本专栏 > 浏览文章

python Autopep8实现按PEP8风格自动排版Python代码

(编辑:jimmy 日期: 2024/11/2 浏览:3 次 )

Autopep8是一个将Python代码自动排版为PEP8风格的小工具。它使用pep8工具来决定代码中的哪部分需要被排版。Autopep8可以修复大部分pep8工具中报告的排版问题。

参考网址:

https://www.python.org/dev/peps/pep-0008/

https://pypi.python.org/pypi/autopep8/

(1)安装步骤如下:

localhost:~ a6$ sudo pip install autopep8
Password:
The directory '/Users/a6/Library/Caches/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
The directory '/Users/a6/Library/Caches/pip' or its parent directory is not owned by the current user and caching wheels has been disabled. check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
Collecting autopep8
Collecting pycodestyle>=2.3 (from autopep8)
 Downloading pycodestyle-2.3.1-py2.py3-none-any.whl (45kB)
  100% |████████████████████████████████| 51kB 324kB/s
Installing collected packages: pycodestyle, autopep8
Successfully installed autopep8-1.3.3 pycodestyle-2.3.1
localhost:~ a6$ sudo pip install autopep8
The directory '/Users/a6/Library/Caches/pip/http' or its parent directory is not owned by the current user and the cache has been disabled. Please check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
The directory '/Users/a6/Library/Caches/pip' or its parent directory is not owned by the current user and caching wheels has been disabled. check the permissions and owner of that directory. If executing pip with sudo, you may want sudo's -H flag.
Requirement already satisfied: autopep8 in /Library/Python/2.7/site-packages
Requirement already satisfied: pycodestyle>=2.3 in /Library/Python/2.7/site-packages (from autopep8)

(2)示例代码:

1)运行命令前代码的排版 (保存在test_autopep8.py)

import math, sys;
 
def example1():
  ####This is a long comment. This should be wrapped to fit within 72 characters.
  some_tuple=(  1,2, 3,'a' );
  some_variable={'long':'Long code lines should be wrapped within 79 characters.',
  'other':[math.pi, 100,200,300,9876543210,'This is a long string that goes on'],
  'more':{'inner':'This whole logical line should be wrapped.',some_tuple:[1,
  20,300,40000,500000000,60000000000000000]}}
  return (some_tuple, some_variable)
def example2(): return {'has_key() is deprecated':True}.has_key({'f':2}.has_key(''));
class Example3(  object ):
  def __init__  ( self, bar ):
   #Comments should have a space after the hash.
   if bar : bar+=1; bar=bar* bar  ; return bar
   else:
          some_string = """
            Indentation in multiline strings should not be touched.
Only actual code should be reindented.
"""
          return (sys.path, some_string)

2)运行命令

bogon:AB a6$ autopep8 --in-place --aggressive --aggressive test_autopep8.py

3)运行命令后代码的排版

import math
import sys 
def example1():
  # This is a long comment. This should be wrapped to fit within 72
  # characters.
  some_tuple = (1, 2, 3, 'a')
  some_variable = {
    'long': 'Long code lines should be wrapped within 79 characters.',
    'other': [
      math.pi,
      100,
      200,
      300,
      9876543210,
      'This is a long string that goes on'],
    'more': {
      'inner': 'This whole logical line should be wrapped.',
      some_tuple: [
        1,
        20,
        300,
        40000,
        500000000,
        60000000000000000]}}
  return (some_tuple, some_variable)
 
 
def example2(): return ('' in {'f': 2}) in {'has_key() is deprecated': True};
 
 
class Example3(object):
  def __init__(self, bar):
    # Comments should have a space after the hash.
    if bar:
      bar += 1
      bar = bar * bar
      return bar
    else:
      some_string = """
            Indentation in multiline strings should not be touched.
      Only actual code should be reindented.
      """
      return (sys.path, some_string)

4)参考网址:
https://github.com/hhatto/autopep8

上一篇:基于注解实现 SpringBoot 接口防刷的方法
下一篇:pycharm配置安装autopep8自动规范代码的实现
一句话新闻
微软与英特尔等合作伙伴联合定义“AI PC”:键盘需配有Copilot物理按键
几个月来,英特尔、微软、AMD和其它厂商都在共同推动“AI PC”的想法,朝着更多的AI功能迈进。在近日,英特尔在台北举行的开发者活动中,也宣布了关于AI PC加速计划、新的PC开发者计划和独立硬件供应商计划。
在此次发布会上,英特尔还发布了全新的全新的酷睿Ultra Meteor Lake NUC开发套件,以及联合微软等合作伙伴联合定义“AI PC”的定义标准。
友情链接:杰晶网络 DDR爱好者之家 南强小屋 黑松山资源网 白云城资源网 SiteMap