If we make a pathological potato like this:
>>> class Potato:
... def __eq__(self, other):
... return False
... def __hash__(self):
... return random.randint(1, 10000)
...
>>> p = Potato()
>>> p == p
False
We can break sets and dicts this way (note: it's the same even if __eq__
returns True
, it's mucking with the hash that broke them):
>>> p in {p}
False
>>> p in {p: 0}
False
Also len({p: 0, p: 0}) == 2
, and {p: 0}[p]
raises KeyError, basically all mapping related stuff goes out the window, as expected.
But what I didn't expect is that we can't break lists
>>> p in [p]
True
Why is that? It seems that list.__contains__
iterates, but it's first checking identity before checking equality. Since it is not the case that identity implies equality (see for example NaN object), what is the reason for lists short-circuiting on identity comparisons?
In general, breaking the assumption that identity implies equality can break a variety of things in Python. It is true that NaN breaks this assumption, and thus NaN breaks some things in Python. Discussion can be found in this Python bug. In a pre-release version of Python 3.0, reliance on this assumption was removed, but the resolution of the bug was to put it back in (i.e., make Python 3 give the same behavior as Python 2, in which the identity check shortcut is done). The documentation for Python 3 correctly says:
However, it appears the documentation for Python 2 is incorrect, since it says:
You could raise a documentation bug about this if you want, although it is a pretty esoteric issue so I doubt it will be high on anyone's priority list.
list
,tuple
, etc., does indeed do an identity check before an equality check, and this behavior is motivated by these invariants:Unfortunately,
dict
s,set
s, and friends operate by hashes, so if you mess with those you can indeed effectively break them.See this issue and this issue for some history.