On 10/8/2012 11:13 AM, Dave Angel wrote:
Isn't it true, though, that Python 3.3 has a completely new
implementation of decimal that largely removes this disadvantage?
I wouldn't know, I'm on 3.2. However, I sincerely doubt if it's within
a factor of 100 of the speed of the binary float, at least on
>>> import timeit as tt
>>> tt.repeat("float('1.0')-float('0.9999999999')")
[0.6856039948871151, 0.669049830953858, 0.668688006423692]
>>> tt.repeat("Decimal('1.0')-Decimal('0.9999999999')", "from decimal
import Decimal")
[1.3204655578092428, 1.286977575486688, 1.2893188292009938]
>>> tt.repeat("a-b", "a = 1.0; b=0.9999999999")
[0.06100386171601713, 0.044538539999592786, 0.04451548406098027]
>>> tt.repeat("a-b", "from decimal import Decimal as D; a = D('1.0'); b
= D('0.9999999999')")
[0.14685526219517442, 0.12909696344064514, 0.12646059371189722]
A factor of 3, as S. Krah, the cdecimal author, claimed
--
Terry Jan Reedy
--
http://mail.python.org/mailman/listinfo/python-list
