They are both forbidden by the standard.
For the (ordered) associative containers, the definition of strict weak order (25.4/4) says:
If we define equiv(a, b)
as !comp(a, b) && !comp(b, a)
, then the
requirements are that comp
and equiv
both be transitive relations ...
equiv(a, b) && equiv(b, c)
implies equiv(a, c)
This fails for a = 0.0, b = NaN, c = 1.0, comp = std::less<double>()
For the unordered containers, 23.2.5/3 says that the equality predicate Pred
"induces an equivalence relation on values of type Key
". Equivalence relations are reflexive, and std::equal_to<double>()(NaN,NaN)
is false, so equal_to<double>()
is not an equivalence relation.
By the way, keying containers on a double is slightly scary in the same way that comparing doubles for equality is always slightly scary. You never know what you're going to get in the least significant bit.
Something I've always considered a little odd is that the standard expresses the requirements in terms of the key type, not in terms of the actual key values added to the container. I believe you could choose to read this as not guaranteeing that map<double, int>
has defined behaviour at all if the implementation supports NaNs, regardless of whether you actually add a NaN to an instance or not. In practice, though, an implementation of std::map
cannot somehow conjure a NaN
out of its back pocket and try to compare it, it only ever compares key values passed to the instance. So it should be OK (if slightly scary) provided you avoid adding NaNs.
I'd be very grateful for comments on how other languages handle
floating point keys in associative containers
A few quick experiments in Python (where set
and dict
are unordered associative containers which hold keys and values by reference) suggest that NaNs are treated as objects that are unequal in value even if they're "the same NaN", but the same nan object can be found again by identity. As far as I've seen, the containers don't seem to be disturbed by containing multiple nans, or a mixture of nans and other values:
>>> thing = set()
>>> nan = float('nan')
>>> nan
nan
>>> thing.add(nan)
>>> thing.add(nan)
>>> thing
set([nan])
>>> thing = dict()
>>> thing[nan] = 1
>>> thing[nan] = 2
>>> thing[nan]
2
>>> nan2 = float('nan')
>>> thing[nan2] = 3
>>> thing
{nan: 2, nan: 3}
>>> thing = set()
>>> thing.add(nan)
>>> thing.add(nan2)
>>> thing
set([nan, nan])
>>> thing = dict()
>>> thing[nan] = 1
>>> thing[nan2] = 2
>>> thing[0] = 3
>>> thing
{nan: 1, nan: 2, 0: 3}
>>> thing.keys()
[nan, nan, 0]
>>> thing.values()
[1, 2, 3]
>>> thing[0]
3
>>> thing[1]
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
KeyError: 1