On 6/09/20 8:08 am, David Mertz wrote:
> The only real goal I've seen is that you hope that `x == eval(repr(x))`
> for floating point numbers. But that is doomed to failure since it
> cannot work for NaN by its very definition.
I think that just means the definition needs a bit more finesse.
It would be a reasonable goal for it to give back *some* NaN
with the same flags and payload as the original.
Sure, but we have that already:
>>> from math import inf, nan
>>> eval(repr([42, nan, inf]))
[42, nan, inf]
The only difference is the `math` namespace vs `builtins` namespace.
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