How can I get a callable factory for a defaultdict to allow populating it with a comprehension? I think it's probably not possible, but I can't think of a good reason why?
>>> def foo(*args):
... # TODO
...
>>> from collections import defaultdict
>>> thing = foo(defaultdict, int)
>>> d = thing((i, i*i) for i in range(3))
>>> d[2]
# should return 4
>>> d[-1]
# should return 0
Any arguments to defaultdict
after the default_factory
are treated just like arguments to dict
:
>>> defaultdict(int, [(i, i*i) for i in range(5)])
defaultdict(<type 'int'>, {0: 0, 1: 1, 2: 4, 3: 9, 4: 16})
Just pass the comprehension to defaultdict
and let it do the work:
def defaultdict_factory_factory(default_factory):
def defaultdict_factory(*args, **kwargs):
return defaultdict(default_factory, *args, **kwargs)
return defaultdict_factory
Or use functools.partial
:
def defaultdict_factory_factory(default_factory):
return partial(defaultdict, default_factory)
Are you just looking for defaultdict.update
?
>>> from collections import defaultdict
>>> thing = defaultdict(int)
>>> thing.update((i, i*i) for i in range(3))
>>> thing
defaultdict(<type 'int'>, {0: 0, 1: 1, 2: 4})
You could put this into a function.
>>> def initdefaultdict(type_, *args, **kwargs):
... d = defaultdict(type_)
... d.update(*args, **kwargs)
... return d
...
>>> thing = initdefaultdict(int, ((i, i+10) for i in range(3)))
>>> thing
defaultdict(<type 'int'>, {0: 10, 1: 11, 2: 12})
>>> thing[3]
0
Or to satisfy your original requirements, return a function:
>>> def defaultdictinitfactory(type_): # this is your "foo"
... def createupdate(*args, **kwargs):
... d = defaultdict(type_)
... d.update(*args, **kwargs)
... return d
... return createupdate
...
>>> f = defaultdictinitfactory(int) # f is your "thing"
>>> d = f((i, i*i) for i in range(3))
>>> d
defaultdict(<type 'int'>, {0: 0, 1: 1, 2: 4})
>>>
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