Marcus Goldfish wrote:
I see that an iterator is conceptually distinct from the container
object it iterates over, but I am confused that both the iterator and
container implement __iter__() to support the iterator protocol.

I think this is to simplify the Python runtime. 'for i in c' will work if c is an iterable container or an actual iterator. In either case the runtime can just call c.__iter__() and get an iterator.


In
my original Foo implementation, __iter__() returned a list, which
supports the iterator protocol, so it "just worked" (albeit not for
all cases, and not efficiently).

Actually your Foo.__iter__() returned an iterator over a list. You called iter() on a list, which returns an iterator.


In general, though, how would I
implement my own iterator (not using generator functions)? Would I
have to have a FooIterator class?

Yes, that would be the simplest way.

What would FooIterator.__iter__()
return?

self.

Here's an attempt at Foo.__iter__() that creates a custom iterator object...no, actually, it is so awkward I'm not going to bother. FooIterator has to keep a lot of state - the current list being indexed and the current index. Use a generator function!

make __iter__() into a generator function like

... so gfs look much easier! This is the first concrete use for gf's
I've found in my code so far, and it rocks-- is it always possible to
implement an iterator using gfs?

Yes, at least there are no restriction I know of. Maybe some strange case where it doesn't make sense. The docs say, "Python's generators provide a convenient way to implement the iterator protocol. If a container object's __iter__() method is implemented as a generator, it will automatically return an iterator object (technically, a generator object) supplying the __iter__() and next() methods."


Is there a performance issue to be
aware of when using gfs?

Not that I know of. Try it and see. It wouldn't surprise me to find that gfs are faster; generally the more you use builtin stuff the faster your code will run.


you want. A simple definition for __eq__() that finds these unequal would be
 def __eq__(self, other):
   return self.head == other.head and self.tail == other.tail

Ok, I like the modified __eq__(), but now I want my Foo class to store the head and tail lists as private attributes (self.__head, self.__tail). Is it pythonic to modify the __eq__() method to:

   def __eq__(self, other):
      return self.__head == other._Foo__head and self.__tail == other._Foo__tail

You just need other.__head

or is this too restrictive (e.g., perhaps I wish to compare a Foo and
Bar class as correlated list sequences.  It is likely that
other._Foo__head will fail for a Bar).

It depends on how you want to use Foo. Since it is a toy you can make it do whatever you want.

- If you define __eq__() you should also define __ne__(). Alteratively you can

... because it seems that Foo1 != Foo2 will fail otherwise. Why is that?

Because Python doesn't assume that __eq__() and __ne__() are inverses. See http://docs.python.org/ref/customization.html

Kent

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