python backports for some methods
Is there any backport for the following methods to work with python 2.4:
any, all, collections.defaultdict, collect开发者_StackOverflowions.deque
Well, at least for any
and all
it's easy:
def any(iterable):
for element in iterable:
if element:
return True
return False
def all(iterable):
for element in iterable:
if not element:
return False
return True
deque
is already in 2.4.
As for defaultdict
, I guess you can emulate that easily with setdefault()
.
Quoting from Alex Martelli`s (and others') highly recommended Python Cookbook:
This is what the setdefault method of dictionaries is for. Say we’re building a word-to-page-numbers index, a dictionary that maps each word to the list of page numbers where it appears. A key piece of code in that application might be:
def addword(theIndex, word, pagenumber):
theIndex.setdefault(word, [ ]).append(pagenumber)
This code is equivalent to more verbose approaches such as:
def addword(theIndex, word, pagenumber):
if word in theIndex:
theIndex[word].append(pagenumber)
else:
theIndex[word] = [pagenumber]
and:
def addword(theIndex, word, pagenumber):
try:
theIndex[word].append(pagenumber)
except KeyError:
theIndex[word] = [pagenumber]
As Tim points out, all
and any
are trivial. defaultdict
isn't much more difficult. Here's a passable implementation I believe. It's essentially a translation of the docs into code.
update: removed ternary expression because I remembered that that's not in 2.4
class defaultdict(dict):
def __init__(self, default_factory, *args, **kwargs):
super(defaultdict, self).__init__(*args, **kwargs)
self.default_factory = default_factory
def __missing__(self, key):
try:
self[key] = self.default_factory()
except TypeError:
raise KeyError("Missing key %s" % (key, ))
else:
return self[key]
def __getitem__(self, key):
try:
return super(defaultdict, self).__getitem__(key)
except KeyError:
return self.__missing__(key)
If you are just using it to build a dict, then you might want to change the EAFP to LBYL for __getitem__
. right now it's optimized to build the dict and then use it for a while with a lot of non-miss lookups.
never mind. Just read Tims post all the way through. You got your wish.deque
is going to be tougher. I wish I had the time to do that just because It's probably my favorite out of collections but it's non trivial.
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