PyLint，PyChecker或PyFlakes?

本文介绍了PyLint，PyChecker或PyFlakes?的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我想在以下这些工具上获得一些反馈:

I would like to get some feedback on these tools on :

功能；
适应性；
易用性和学习曲线.

推荐答案

好吧，我有点好奇，所以我在问了问题之后才对3进行了测试；-)

Well, I am a bit curious, so I just tested the 3 myself right after asking the question ;-)

好的，这不是一个很严肃的评论，但这是我可以说的:

Ok, this is not a very serious review but here is what I can say :

我在以下脚本上尝试了使用默认设置的工具(这很重要，因为您几乎可以选择检查规则):

I tried the tools with the default settings (it's important because you can pretty much choose your check rules) on the following script :

#!/usr/local/bin/python
# by Daniel Rosengren modified by e-satis

import sys, time
stdout = sys.stdout

BAILOUT = 16
MAX_ITERATIONS = 1000

class Iterator(object) :

    def __init__(self):

        print 'Rendering...'
        for y in xrange(-39, 39):
            stdout.write('\n')
            for x in xrange(-39, 39):
                if self.mandelbrot(x/40.0, y/40.0) :
                    stdout.write(' ')
                else:
                    stdout.write('*')


    def mandelbrot(self, x, y):
        cr = y - 0.5
        ci = x
        zi = 0.0
        zr = 0.0

        for i in xrange(MAX_ITERATIONS) :
            temp = zr * zi
            zr2 = zr * zr
            zi2 = zi * zi
            zr = zr2 - zi2 + cr
            zi = temp + temp + ci

            if zi2 + zr2 > BAILOUT:
                return i

        return 0

t = time.time()
Iterator()
print '\nPython Elapsed %.02f' % (time.time() - t)

结果:

PyChecker很麻烦，因为它会编译模块以对其进行分析.如果您不希望代码运行(例如，它执行SQL查询)，那就不好了.
PyFlakes应该是精简版.确实，它决定代码是完美的.我正在寻找很严重的东西，所以我认为我不会去做.
PyLint一直很健谈，并且对代码的评分为3/10(天哪，我是一个肮脏的编码器！).

PyChecker is troublesome because it compiles the module to analyze it. If you don't want your code to run (e.g, it performs a SQL query), that's bad.
PyFlakes is supposed to be lite. Indeed, it decided that the code was perfect. I am looking for something quite severe so I don't think I'll go for it.
PyLint has been very talkative and rated the code 3/10 (OMG, I'm a dirty coder !).

PyLint的要点:

Strongs points of PyLint:

非常准确和描述性的报告.
检测一些代码气味.在这里，它告诉我放弃类来编写带有函数的内容，因为在这种特定情况下，OO方法没有用.我知道些什么，但从没想到会有电脑告诉我:-p
经过完全校正的代码运行速度更快(没有类，没有引用绑定...).
由法国队制造.好的，这不是每个人的优点，但我喜欢它;-)

PyLint的缺点:

Cons of PyLint:

某些规则非常严格.我知道您可以更改它，并且默认值是匹配PEP8，但是写"for x in seq"是否构成犯罪?显然可以，因为您不能用少于3个字母写一个变量名.我会改变的.
非常健谈.准备好使用眼睛.

更正的脚本(带有惰性doc字符串和变量名):

Corrected script (with lazy doc strings and variable names) :

#!/usr/local/bin/python
# by Daniel Rosengren, modified by e-satis
"""
Module doctring
"""


import time
from sys import stdout

BAILOUT = 16
MAX_ITERATIONS = 1000

def mandelbrot(dim_1, dim_2):
    """
    function doc string
    """
    cr1 = dim_1 - 0.5
    ci1 = dim_2
    zi1 = 0.0
    zr1 = 0.0

    for i in xrange(MAX_ITERATIONS) :
        temp = zr1 * zi1
        zr2 = zr1 * zr1
        zi2 = zi1 * zi1
        zr1 = zr2 - zi2 + cr1
        zi1 = temp + temp + ci1

        if zi2 + zr2 > BAILOUT:
            return i

    return 0

def execute() :
    """
    func doc string
    """
    print 'Rendering...'
    for dim_1 in xrange(-39, 39):
        stdout.write('\n')
        for dim_2 in xrange(-39, 39):
            if mandelbrot(dim_1/40.0, dim_2/40.0) :
                stdout.write(' ')
            else:
                stdout.write('*')


START_TIME = time.time()
execute()
print '\nPython Elapsed %.02f' % (time.time() - START_TIME)

多亏了Rudiger Wolf，我发现了pep8确实符合其名称的含义:匹配PEP8.它发现了PyLint没有的一些语法禁忌.但是PyLint发现的内容与PEP8没有特别的联系，但很有趣.两种工具都很有趣且互补.

Thanks to Rudiger Wolf, I discovered pep8 that does exactly what its name suggests: matching PEP8. It has found several syntax no-nos that PyLint did not. But PyLint found stuff that was not specifically linked to PEP8 but interesting. Both tools are interesting and complementary.

最终我将同时使用这两种方法，因为它们真的很容易安装(通过软件包或setuptools)，并且输出文本也很容易链接.

Eventually I will use both since there are really easy to install (via packages or setuptools) and the output text is so easy to chain.

让您对它们的输出有一些了解:

To give you a little idea of their output:

pep8 :

./python_mandelbrot.py:4:11: E401 multiple imports on one line
./python_mandelbrot.py:10:1: E302 expected 2 blank lines, found 1
./python_mandelbrot.py:10:23: E203 whitespace before ':'
./python_mandelbrot.py:15:80: E501 line too long (108 characters)
./python_mandelbrot.py:23:1: W291 trailing whitespace
./python_mandelbrot.py:41:5: E301 expected 1 blank line, found 3

PyLint :

************* Module python_mandelbrot
C: 15: Line too long (108/80)
C: 61: Line too long (85/80)
C:  1: Missing docstring
C:  5: Invalid name "stdout" (should match (([A-Z_][A-Z0-9_]*)|(__.*__))$)
C: 10:Iterator: Missing docstring
C: 15:Iterator.__init__: Invalid name "y" (should match [a-z_][a-z0-9_]{2,30}$)
C: 17:Iterator.__init__: Invalid name "x" (should match [a-z_][a-z0-9_]{2,30}$)

[...] and a very long report with useful stats like :

Duplication
-----------

+-------------------------+------+---------+-----------+
|                         |now   |previous |difference |
+=========================+======+=========+===========+
|nb duplicated lines      |0     |0        |=          |
+-------------------------+------+---------+-----------+
|percent duplicated lines |0.000 |0.000    |=          |
+-------------------------+------+---------+-----------+

这篇关于PyLint，PyChecker或PyFlakes?的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！

Pylint