标签归档:pylint

PyLint,PyChecker或PyFlakes?[关闭]

问题:PyLint,PyChecker或PyFlakes?[关闭]

我想在以下工具上获得一些反馈:

  • 特征;
  • 适应性
  • 易用性和学习曲线。

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

  • features;
  • adaptability;
  • ease of use and learning curve.

回答 0

好吧,我有点好奇,所以我问了问题后就自己测试了3 ;-)

好的,这不是一个很认真的评论,但是我可以这样说:

我在以下脚本上尝试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):

#!/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)

结果是 :

  • PyChecker这很麻烦,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。我正在寻找非常严重的东西,所以我认为我不会去做。
  • PyLint 一直很健谈,对代码的评分为3/10(天哪,我是个肮脏的编码器!)。

优点PyLint

  • 非常描述性和准确的报告。
  • 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方法是无用的。我知道的东西,但是没想到计算机会告诉我:-p
  • 经过完全校正的代码运行得更快(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,但是我喜欢它;-)

缺点PyLint

  • 有些规则确实很严格。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(带有惰性文档字符串和变量名):

#!/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)

编辑:

多亏鲁迪格·沃尔夫(Rudiger Wolf)的帮助,我发现pep8它的功能完全符合其名称:匹配PEP8。它发现了PyLint没有的语法语法。但是PyLint发现了与PEP8没有特别联系但有趣的东西。两种工具都很有趣且互补。

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

让您对它们的输出有一点了解:

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    |=          |
+-------------------------+------+---------+-----------+

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

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

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)

As a result :

  • 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 !).

Strongs points of PyLint:

  • Very descriptive and accurate report.
  • Detect some code smells. Here it told me to drop my class to write something with functions because the OO approach was useless in this specific case. Something I knew, but never expected a computer to tell me :-p
  • The fully corrected code run faster (no class, no reference binding…).
  • Made by a French team. Ok it’s not a plus for everybody, but I like it ;-)

Cons of PyLint:

  • Some rules are really strict. I know that you can change it and that the default is to match PEP8, but is it such a crime to write ‘for x in seq’? Apparently yes because you can’t write a variable name with less than 3 letters. I will change that.
  • Very very talkative. Be ready to use your eyes.

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)

EDIT :

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.

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.

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    |=          |
+-------------------------+------+---------+-----------+

回答 1

pep8最近被添加到PyPi。

  • pep8-Python样式指南检查器
  • pep8是用于根据PEP 8中的某些样式约定检查Python代码的工具。

现在,根据pep8检查代码非常容易。

参见http://pypi.python.org/pypi/pep8

pep8 was recently added to PyPi.

  • pep8 – Python style guide checker
  • pep8 is a tool to check your Python code against some of the style conventions in PEP 8.

It is now super easy to check your code against pep8.

See http://pypi.python.org/pypi/pep8