大约有 44,000 项符合查询结果(耗时:0.0357秒) [XML]
What does 'super' do in Python?
...
319
The benefits of super() in single-inheritance are minimal -- mostly, you don't have to hard-co...
How to implement __iter__(self) for a container object (Python)
...n some_list.
def __iter__(self):
yield 5
yield from some_list
Pre-3.3, yield from didn't exist, so you would have to do:
def __iter__(self):
yield 5
for x in some_list:
yield x
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What is __future__ in Python used for and how/when to use it, and how it works
...ase, // calls __floordiv__().)
Apropos print: print becomes a function in 3.x, losing its special property as a keyword. So it is the other way round.
>>> print
>>> from __future__ import print_function
>>> print
<built-in function print>
>>>
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Calling class staticmethod within the class body?
...s Foo(object):
... @staticmethod
... def foo():
... return 3
... global z
... z = foo
>>> z
<staticmethod object at 0x0000000002E40558>
>>> Foo.foo
<function foo at 0x0000000002E3CBA8>
>>> dir(z)
['__class__', '__delattr__', '__doc__', ...
Understanding Python super() with __init__() methods [duplicate]
...s on super if you haven't already.
Note that the syntax changed in Python 3.0: you can just say super().__init__() instead of super(ChildB, self).__init__() which IMO is quite a bit nicer. The standard docs also refer to a guide to using super() which is quite explanatory.
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Implementing slicing in __getitem__
...m__(self, val):
... print val
...
>>> c = C()
>>> c[3]
3
>>> c[3:4]
slice(3, 4, None)
>>> c[3:4:-2]
slice(3, 4, -2)
>>> c[():1j:'a']
slice((), 1j, 'a')
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Build a Basic Python Iterator
... return self.current
raise StopIteration
for c in Counter(3, 9):
print(c)
This will print:
3
4
5
6
7
8
This is easier to write using a generator, as covered in a previous answer:
def counter(low, high):
current = low
while current < high:
yield current
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__lt__ instead of __cmp__
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edited Jun 30 '09 at 2:07
answered Jun 30 '09 at 1:28
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what does the __file__ variable mean/do?
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edited Jun 13 at 5:19
answered Feb 14 '12 at 3:55
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How do I initialize the base (super) class?
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Python (until version 3) supports "old-style" and new-style classes. New-style classes are derived from object and are what you are using, and invoke their base class through super(), e.g.
class X(object):
def __init__(self, x):
pass
def...
