how to import correctly with pep8 with long names [duplicate]

Break them into multiple lines with parentheses, it is PEP8 compliant (e.g. would pass pep8 command)

from.exceptions import(
   PartsNotFitException,
   PartsmanagementException,
   CircleDetectedException,
)

You can use parentheses to allow linebreaks:

from.exceptions import(
   PartsNotFitException,
   PartsmanagementException,
   CircleDetectedException
)

Suggestion : 2

Prominently note via warning message that the tool is no longer released as pep8 and will only be fixed in the pycodestyle package,Reverted the fix in #368, “options passed on command line are only ones accepted” feature. This has many unintended consequences in pep8 and flake8 and needs to be reworked when I have more time.,Small: Just one Python file, requires only stdlib. You can use just the pep8.py file for this purpose.,Now --first prints only the first occurrence of each error. The --repeat flag becomes obsolete because it is the default behaviour. (Issue #6)

You can install, upgrade, uninstall pep8.py with these commands:

$ pip install pep8
$ pip install--upgrade pep8
$ pip uninstall pep8

Example usage and output

$ pep8--first optparse.py
optparse.py: 69: 11: E401 multiple imports on one line
optparse.py: 77: 1: E302 expected 2 blank lines, found 1
optparse.py: 88: 5: E301 expected 1 blank line, found 0
optparse.py: 222: 34: W602 deprecated form of raising exception
optparse.py: 347: 31: E211 whitespace before '('
optparse.py: 357: 17: E201 whitespace after '{'
optparse.py: 472: 29: E221 multiple spaces before operator
optparse.py: 544: 21: W601.has_key() is deprecated, use 'in'

You can also make pep8.py show the source code for each error, and even the relevant text from PEP 8:

$ pep8--show - source--show - pep8 testsuite / E40.py
testsuite / E40.py: 2: 10: E401 multiple imports on one line
import os, sys
   ^
   Imports should usually be on separate lines.

Okay: import os\ nimport sys
E401: import sys, os

Or you can display how often each error was found:

$ pep8--statistics - qq Python - 2.5 / Lib
232 E201 whitespace after '['
599 E202 whitespace before ')'
631 E203 whitespace before ','
842 E211 whitespace before '('
2531 E221 multiple spaces before operator
4473 E301 expected 1 blank line, found 0
4006 E302 expected 2 blank lines, found 1
165 E303 too many blank lines(4)
325 E401 multiple imports on one line
3615 E501 line too long(82 characters)
612 W601.has_key() is deprecated, use 'in'
1188 W602 deprecated form of raising exception

Suggestion : 3

Use list comprehensions when you really need to create a second list, for example if you need to use the result multiple times.,General concepts Explicit code One statement per line Function arguments Avoid the magical wand We are all responsible users Returning values ,We consider that a Python developer should know about these nearly infinite possibilities, because it instills confidence that no impassable problem will be on the way. However, knowing how and particularly when not to use them is very important.,While some compound statements such as list comprehensions are allowed and appreciated for their brevity and their expressiveness, it is bad practice to have two disjointed statements on the same line of code.

def make_complex( * args):
   x, y = args
return dict( ** locals())

def make_complex(x, y):
   return {
      'x': x,
      'y': y
   }

print('one'); print('two')

if x == 1: print('one')

if <complex comparison> and <other complex comparison>:
      # do something

print('one')
print('two')

if x == 1:
print('one')

cond1 = <complex comparison>
   cond2 = <other complex comparison>
      if cond1 and cond2:
      # do something

def complex_function(a, b, c):
   if not a:
   return None # Raising an exception might be better
if not b:
   return None # Raising an exception might be better
# Some complex code trying to compute x from a, b and c
# Resist temptation to
return x
if succeeded
if not x:
   # Some Plan - B computation of x
return x # One single exit point
for the returned value x will help
# when maintaining the code.

for index, item in enumerate(some_list):
   # do something with index and item

Suggestion : 4

Python uses the name “function” to describe a reusable chunk of code. Other programming languages use names such as “procedure,” “subroutine,” and “method.” When a function is part of a Python class, it‘s known as a “method.”. You’ll learn all about Python’s classes and methods in a later chapter.,This works as expected: we successfully import the vsearch module, then use each of its functions by prefixing the function name with the name of its module and a dot. Note how the behavior of the >>> prompt at the command line is identical to the behavior within IDLE (the only difference is the lack of syntax highlighting). It’s the same Python interpreter, after all.,Now that our vsearch module has been installed, we can use import vsearch in any of our programs, safe in the knowledge that the interpreter can now find the module’s functions when needed.,Find below the setup.py file we created to describe the module in the vsearch.py file. It contains two lines of Python code: the first line imports the setup function from the setuptools module, while the second invokes the setup function.

>>> search4vowels()
Provide a word to search
for vowels: hitch - hiker
e
i

search4vowels("Don't panic!")

def search4letters(phrase: str, letters: str) - > set:

def double(arg):
   print('Before: ', arg)
arg = arg * 2
print('After: ', arg)

arg = arg * 2

py.test--pep8 vsearch.py