Why Does A Python Iterator Need An Iter Method That Simply Returns Self?
Solution 1:
Imagine you want to write code that iterates over any kind of iterable. Normally you'd just write a for
statement or comprehension, but let's instead explicitly do what for
does under the covers, to make things more obvious:
i = iter(iterable)
whileTrue:
try:
val = next(i)
except StopIteration:
breakelse:
do_stuff(val)
If you don't do that first line, your code won't work with lists, strings, tuples, or anything but iterator.
But if you do that first line, well, iter(iterable)
had better return an iterator, or your code won't work with iterators.
You may wonder why iter
couldn't just do the right thing without this? After all, it does have magic in it to create an iterator when given an object that has a __len__
and __getitem__
but no __iter__
, so why couldn't it also have magic to just return its argument if it has a __next__
but no __iter__
? That's a language-design issue, but generally, Python tries to have as little magic as possible. The magic to make not-quite-sequences iterable was necessary because such sequences existed (in widespread third-party code) before the iteration protocol was added to the language, and it would be too hard to remove for the small benefit of simplifying things.
Solution 2:
It's so for
loops and other code that needs to work with iterables can unconditionally call iter
on the thing they're iterating over, rather than treating iterators and other iterables separately. In particular, non-iterators might reasonably have a method called next
, and we want to be able to distinguish them from iterators.
Solution 3:
__iter__()
is intended to return an iterator over the object. What is an iterator over an object that is already an iterator? self
, of course.
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