What Happened?
When you use next(iter(instance_of_Class2))
, iter()
calls .close()
on the inner generator when it (the iterator, not the generator!) goes out of scope (and is deleted), while with Class1
, iter()
only closes its instance
>>> g = (i for i in range(3))
>>> b = Class2(g)
>>> i = iter(b) # hold iterator open
>>> next(i)
0
>>> next(i)
1
>>> del(i) # closes g
>>> next(iter(b))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
StopIteration
This behavior is described in PEP 342 in two parts
What happens is a little clearer (if perhaps surprising) when multiple generator delegations occur; only the generator being delegated is closed when its wrapping iter
is deleted
>>> g1 = (a for a in range(10))
>>> g2 = (a for a in range(10, 20))
>>> def test3():
... yield from g1
... yield from g2
...
>>> next(test3())
0
>>> next(test3())
10
>>> next(test3())
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
StopIteration
Fixing Class2
What options are there to make Class2
behave more the way you expect?
Notably, other strategies, though they don't have the visually pleasing sugar of yield from
or some of its potential benefits gives you a way to interact with the values, which seems like a primary benefit
- avoid creating a structure like this at all ("just don't do that!")
if you don't interact with the generator and don't intend to keep a reference to the iterator, why bother wrapping it at all? (see above comment about interacting)
- create the iterator yourself internally (this may be what you expected)
>>> class Class3:
... def __init__(self, gen):
... self.iterator = iter(gen)
...
... def __iter__(self):
... return self.iterator
...
>>> c = Class3((i for i in range(3)))
>>> next(iter(c))
0
>>> next(iter(c))
1
- make the whole class a "proper" Generator
while testing this, it plausibly highlights some iter()
inconsistency - see comments below (ie. why isn't e
closed?)
also an opportunity to pass multiple generators with itertools.chain.from_iterable
>>> class Class5(collections.abc.Generator):
... def __init__(self, gen):
... self.gen = gen
... def send(self, value):
... return next(self.gen)
... def throw(self, value):
... raise StopIteration
... def close(self): # optional, but more complete
... self.gen.close()
...
>>> e = Class5((i for i in range(10)))
>>> next(e) # NOTE iter is not necessary!
0
>>> next(e)
1
>>> next(iter(e)) # but still works
2
>>> next(iter(e)) # doesn't close e?? (should it?)
3
>>> e.close()
>>> next(e)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/python3.9/_collections_abc.py", line 330, in __next__
return self.send(None)
File "<stdin>", line 5, in send
StopIteration
Hunting the Mystery
A better clue is that if you directly try again, next(iter(instance))
raises StopIteration
, indicating the generator is permanently closed (either through exhaustion or .close()
), and why iterating over it with a for
loop yields no more values
>>> a = Class1((i for i in range(3)))
>>> next(iter(a))
0
>>> next(iter(a))
1
>>> b = Class2((i for i in range(3)))
>>> next(iter(b))
0
>>> next(iter(b))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
StopIteration
However, if we name the iterator, it works as expected
>>> b = Class2((i for i in range(3)))
>>> i = iter(b)
>>> next(i)
0
>>> next(i)
1
>>> j = iter(b)
>>> next(j)
2
>>> next(i)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
StopIteration
To me, this suggests that when the iterator doesn't have a name, it calls .close()
when it goes out of scope
>>> def gen_test(iterable):
... yield from iterable
...
>>> g = gen_test((i for i in range(3)))
>>> next(iter(g))
0
>>> g.close()
>>> next(iter(g))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
StopIteration
Disassembling the result, we find the internals are a little different
>>> a = Class1((i for i in range(3)))
>>> dis.dis(a.__iter__)
6 0 LOAD_FAST 0 (self)
2 LOAD_ATTR 0 (gen)
4 GET_ITER
>> 6 FOR_ITER 10 (to 18)
8 STORE_FAST 1 (el)
7 10 LOAD_FAST 1 (el)
12 YIELD_VALUE
14 POP_TOP
16 JUMP_ABSOLUTE 6
>> 18 LOAD_CONST 0 (None)
20 RETURN_VALUE
>>> b = Class2((i for i in range(3)))
>>> dis.dis(b.__iter__)
6 0 LOAD_FAST 0 (self)
2 LOAD_ATTR 0 (gen)
4 GET_YIELD_FROM_ITER
6 LOAD_CONST 0 (None)
8
10 POP_TOP
12 LOAD_CONST 0 (None)
14 RETURN_VALUE
Notably, the yield from
version has GET_YIELD_FROM_ITER
If TOS
is a generator iterator or coroutine object it is left as is. Otherwise, implements TOS = iter(TOS)
.
(subtly, YIELD_FROM
keyword appears to be removed in 3.11)
So if the given iterable (to the class) is a generator iterator, it'll be handed off directly, giving the result we (might) expect
Extras
Passing an iterator which isn't a generator (iter()
creates a new iterator each time in both cases)
>>> a = Class1([i for i in range(3)])
>>> next(iter(a))
0
>>> next(iter(a))
0
>>> b = Class2([i for i in range(3)])
>>> next(iter(b))
0
>>> next(iter(b))
0
Expressly closing Class1
's internal generator
>>> g = (i for i in range(3))
>>> a = Class1(g)
>>> next(iter(a))
0
>>> next(iter(a))
1
>>> a.gen.close()
>>> next(iter(a))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
StopIteration
generator is only closed by iter
when deleted if instance is popped
>>> g = (i for i in range(10))
>>> b = Class2(g)
>>> i = iter(b)
>>> next(i)
0
>>> j = iter(b)
>>> del(j) # next() not called on j
>>> next(i)
1
>>> j = iter(b)
>>> next(j)
2
>>> del(j) # generator closed
>>> next(i) # now fails, despite range(10) above
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
StopIteration
Class2
, if you extractiter(a)
into a variable (b = iter(a); print(next(b))
), this will work the same asClass1
, i.e. prints all the numbers. That's confusing and very interesting. – Mcchesneydel b
, it only prints the first one @YevhenKuzmovych – Imogen