Georg Brandl wrote:
Thinking of each value created by float('nan') as
a different nan makes sense to my naive mind, and it also explains
nicely the behavior present right now.
Not entirely:
x = float('NaN')
y = x
if x == y:
...
There it's hard to argue that the NaNs being compared
result from different operations.
It does suggest a potential compromise, though: a single
NaN object compares equal to itself, but different NaN
objects are never equal (more or less what dict membership
testing does now, but extended to all == comparisons).
Whether that's a *sane* compromise I'm not sure.
--
Greg
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