Mark Dickinson wrote:
That's because you're creating two different float nans.
Compare with:
Python 3.2a0 (py3k:76132M, Nov 6 2009, 14:47:39)
[GCC 4.2.1 (SUSE Linux)] on linux2
Type "help", "copyright", "credits" or "license" for more information.
nan = float('nan')
d = {nan: 10, 0: 20}
nan in d
True
d[nan]
10
This also suggests to me that nan should be a singleton, or at least
that the doc should recommend that programs should make it be such for
the program.
tjr
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