Reputation: 191
Yesterday I came across this odd unpacking difference between Python 2 and Python 3, and did not seem to find any explanation after a quick Google search.
Python 2.7.8
a = 257
b = 257
a is b # False
a, b = 257, 257
a is b # False
Python 3.4.2
a = 257
b = 257
a is b # False
a, b = 257, 257
a is b # True
I know it probably does not affect the correctness of a program, but it does bug me a little. Could anyone give some insights about this difference in unpacking?
Upvotes: 18
Views: 815
Reputation: 60147
This behaviour is at least in part to do with how the interpreter does constant folding and how the REPL executes code.
First, remember that CPython first compiles code (to AST and then bytecode). It then evaluates the bytecode. During compilation, the script looks for objects that are immutable and caches them. It also deduplicates them. So if it sees
a = 257
b = 257
it will store a and b against the same object:
import dis
def f():
a = 257
b = 257
dis.dis(f)
#>>> 4 0 LOAD_CONST 1 (257)
#>>> 3 STORE_FAST 0 (a)
#>>>
#>>> 5 6 LOAD_CONST 1 (257)
#>>> 9 STORE_FAST 1 (b)
#>>> 12 LOAD_CONST 0 (None)
#>>> 15 RETURN_VALUE
Note the LOAD_CONST 1
. The 1
is the index into co_consts
:
f.__code__.co_consts
#>>> (None, 257)
So these both load the same 257
. Why doesn't this occur with:
$ python2
Python 2.7.8 (default, Sep 24 2014, 18:26:21)
>>> a = 257
>>> b = 257
>>> a is b
False
$ python3
Python 3.4.2 (default, Oct 8 2014, 13:44:52)
>>> a = 257
>>> b = 257
>>> a is b
False
?
Each line in this case is a separate compilation unit and the deduplication cannot happen across them. It works similarly to
compile a = 257
run a = 257
compile b = 257
run b = 257
compile a is b
run a is b
As such, these code objects will both have unique constant caches.
This implies that if we remove the line break, the is
will return True
:
>>> a = 257; b = 257
>>> a is b
True
Indeed this is the case for both Python versions. In fact, this is exactly why
>>> a, b = 257, 257
>>> a is b
True
returns True
as well; it's not because of any attribute of unpacking; they
just get placed in the same compilation unit.
This returns False
for versions which don't fold properly; filmor links to Ideone which shows this failing on 2.7.3 and 3.2.3. On these versions, the tuples created do not share their items with the other constants:
import dis
def f():
a, b = 257, 257
print(a is b)
print(f.__code__.co_consts)
#>>> (None, 257, (257, 257))
n = f.__code__.co_consts[1]
n1 = f.__code__.co_consts[2][0]
n2 = f.__code__.co_consts[2][1]
print(id(n), id(n1), id(n2))
#>>> (148384292, 148384304, 148384496)
Again, though, this is not about a change in how the objects are unpacked; it is only a change in how the objects are stored in co_consts
.
Upvotes: 24
Reputation: 32222
I think this is actually by accident, as I can't reproduce the behaviour with Python 3.2.
There is this issue http://bugs.python.org/issue11244 that introduces a CONST_STACK
to fix problems with constant tuples with negative numbers not being optimised (look at the patches against peephole.c
, which contains Python's optimiser runs).
This seems to also have led to the given behaviour. Still looking into this :)
Upvotes: 8