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| Date | Mon, 30 May 2011 12:53:59 +1000 |
| Subject | Re: float("nan") in set or as key |
| From | Chris Angelico <rosuav@gmail.com> |
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On Mon, May 30, 2011 at 12:17 PM, Carl Banks <pavlovevidence@gmail.com> wrote: > If I were designing a new floating-point standard for hardware, I would consider getting rid of NaN. However, with the floating point standard that exists, that almost all floating point hardware mostly conforms to, there are certain bit pattern that mean NaN. > > Python could refuse to construct float() objects out of NaN (I doubt it would even be a major performance penalty), but there's reasons why you wouldn't, the main one being to interface with other code that does use NaN. It's better, then, to recognize the NaN bit patterns and do something reasonable when trying to operate on it. Okay, here's a question. The Python 'float' value - is it meant to be "a Python representation of an IEEE double-precision floating point value", or "a Python representation of a real number"? For the most part, Python's data types are defined by their abstract concepts - a list isn't defined as a linked list of pointers, it's defined as an ordered collection of objects. Python 3 removes the distinction between 'int' and 'long', where 'int' is <2**32 and 'long' isn't, so now a Py3 integer is... any integer. The sys.float_info struct exposes details of floating point representation. In theory, a Python implementation that uses bignum floats could quite happily set all those values to extremes and work with enormous precision (or could use a REXX-style "numeric digits 100" command to change the internal rounding, and automatically update sys.float_info). And in that case, there would be no NaN value. If Python is interfacing with some other code that uses NaN, that code won't be using Python 'float' objects - it'll be using IEEE binary format, probably. So all it would need to entail is a special return value from an IEEE Binary to Python Float converter function (maybe have it return None), and NaN is no longer a part of Python. The real question is: Would NaN's removal be beneficial? And if so, would it be worth the effort? Chris Angelico
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Re: float("nan") in set or as key Carl Banks <pavlovevidence@gmail.com> - 2011-05-29 19:17 -0700
Re: float("nan") in set or as key Chris Angelico <rosuav@gmail.com> - 2011-05-30 12:53 +1000
Re: float("nan") in set or as key rusi <rustompmody@gmail.com> - 2011-05-29 20:08 -0700
Re: float("nan") in set or as key Steven D'Aprano <steve+comp.lang.python@pearwood.info> - 2011-05-30 04:22 +0000
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