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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