On Sat, Sep 6, 2008 at 10:49 PM, Bill Page wrote:
> On Sat, Sep 6, 2008 at 10:32 PM, Mike Hansen wrote:
>>
>> I still find the following behavior much worse than the current
>> behavior (which is why I made the change):
>>
>> sage: axiom(2.123)
>> float(156649750673941527080,-66,2)
>>
>> That's not useful to anyone or any other system.
>>
>
> By default Axiom uses arbitrary precision floats. This function call
> is an attempt to retain all of the available precision in the internal
> representation. Perhaps this could be implemented in Sage as a mpfr
> function call?
>
Does this function definition help?
sage: def float(x,e,b):
return 0.0+x*b^e
....:
sage: eval(repr(axiom('2.123')))
2.12300000000000
The 0.0 + ... hack just forces coercion to mpfr. Probably there's a better way.
Regards,
Bill Page.
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