On Mon, 11 Jun 2007 16:54:10 -0700, James Stroud <[EMAIL PROTECTED]> wrote: >Beorn wrote: >> Consider this example: >> >> >>> def funcs(x): >> ... for i in range(5): >> ... def g(): return x + i >> ... yield g >> > [snip] > >If this isn't classified as a bug, then someone has some serious >explaining to do. Why would it be desirable for a generator to behave >differently in two different contexts. Should I import this to see how >many principles this behavior violates?
It follows logically from first principals. ;) You might disagree with those, but given them, it's hard to disagree with the conclusion. The first form forces the generator to run to completion before the list comprehension evaluates any iteration, and so the loop variable inside the generator is already 4, and so all functions yielded will return 5 when called. The second form lets the generator run lazily, so it has only reached the iteration which yielded a particular function by the time that function is called by the list comprehension, so each function yields a different value, because it is the continuing iteration of the generator which changes the values returned by the yielded functions. As far as explanations go, perhaps that's not a very good one (all I've done is describe the behavior, after all, and less concisely than the original Python did!) but maybe the translation into english will somehow help reveal how this behavior is consistent. For what it's worth, I agree that scoping in Python is not ideal and this is a good example of an area where that shortcoming causes surprises. Jean-Paul -- http://mail.python.org/mailman/listinfo/python-list
