On 9/30/06, Terry Reedy <[EMAIL PROTECTED]> wrote: > > "Nick Coghlan" <[EMAIL PROTECTED]> wrote in message > news:[EMAIL PROTECTED] > >I suspect the problem would typically stem from floating point values that > >are > >read in from a human-readable file rather than being the result of a > >'calculation' as such: > > For such situations, one could create a translation dict for both common > float values and for non-numeric missing value indicators. For instance, > flotran = {'*': None, '1.0':1.0, '2.0':2.0, '4.0':4.0} > The details, of course, depend on the specific case.
But of course you have to know that common float values are never cached and that it may cause you problems. Some users may expect them to be because common strings and integers are cached. -bob _______________________________________________ Python-Dev mailing list Python-Dev@python.org http://mail.python.org/mailman/listinfo/python-dev Unsubscribe: http://mail.python.org/mailman/options/python-dev/archive%40mail-archive.com
