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曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.かつては雑草やヨモギと共に雨や露を分かち合っていたが、今では松やヒノキと共に霜や雪に耐えている。曾与蒿藜同雨露,Once sharing rain and dew with weeds and wormwood, now enduring frost and snow with pines and cypresses.终随松柏到冰霜.曾与蒿藜同雨露한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.,终随松柏到冰霜.譖セ荳手珍阯懷酔髮ィ髴イ�檎サ磯囂譚セ譟丞芦蜀ー髴�曾与蒿藜同雨露,鏇句笌钂胯棞鍚岄洦闇诧紝缁堥殢鏉炬煆鍒板啺闇�终随松柏到冰霜.曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.曾与蒿藜同雨露,终随松柏到冰霜.
'''
This module provides a newnext() function in Python 2 that mimics the
behaviour of ``next()`` in Python 3, falling back to Python 2's behaviour for
compatibility if this fails.
``newnext(iterator)`` calls the iterator's ``__next__()`` method if it exists. If this
doesn't exist, it falls back to calling a ``next()`` method.
For example:
>>> class Odds(object):
... def __init__(self, start=1):
... self.value = start - 2
... def __next__(self): # note the Py3 interface
... self.value += 2
... return self.value
... def __iter__(self):
... return self
...
>>> iterator = Odds()
>>> next(iterator)
1
>>> next(iterator)
3
If you are defining your own custom iterator class as above, it is preferable
to explicitly decorate the class with the @implements_iterator decorator from
``future.utils`` as follows:
>>> @implements_iterator
... class Odds(object):
... # etc
... pass
This next() function is primarily for consuming iterators defined in Python 3
code elsewhere that we would like to run on Python 2 or 3.
'''
_builtin_next = next
_SENTINEL = object()
def newnext(iterator, default=_SENTINEL):
"""
next(iterator[, default])
Return the next item from the iterator. If default is given and the iterator
is exhausted, it is returned instead of raising StopIteration.
"""
# args = []
# if default is not _SENTINEL:
# args.append(default)
try:
try:
return iterator.__next__()
except AttributeError:
try:
return iterator.next()
except AttributeError:
raise TypeError("'{0}' object is not an iterator".format(
iterator.__class__.__name__))
except StopIteration as e:
if default is _SENTINEL:
raise e
else:
return default
__all__ = ['newnext']