Generator using item[n-1] + item[n] memory
Roy Smith
roy at panix.com
Fri Feb 14 22:21:11 EST 2014
In article <mailman.6952.1392433921.18130.python-list at python.org>,
Nick Timkovich <prometheus235 at gmail.com> wrote:
> Ah, I think I was equating `yield` too closely with `return` in my head.
> Whereas `return` results in the destruction of the function's locals,
> `yield` I should have known keeps them around, a la C's `static` functions.
> Many thanks!
It's not quite like C's static. With C's static, the static variables
are per-function. In Python, yield creates a context per invocation.
Thus, I can do
def f():
for i in range(10000):
yield i
g1 = f()
g2 = f()
print g1.next()
print g1.next()
print g1.next()
print g2.next()
print g1.next()
which prints 0, 1, 2, 0, 3. There's two contexts active at the same
time, with a distinct instance of "i" in each one.
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