I also ran the given solution after converting it to python 3, here are the
results
[madura@trex-j ~]$ time python3 g.py < Downloads/A-large-practice.in >
/dev/null
real 0m1.952s
user 0m1.927s
sys 0m0.023s
- Madura A.
On Sat, May 4, 2013 at 7:26 PM, Madura Anushanga <madura....@gmail.com>wrote:
> True, someone asked the same problem on the blog, here's my reply to him,
>
> "True enough, I’ve assumed sqrt() to be O(1) which is comparatively
> correct because other operations take a lot of time comparatively. I do not
> change precision while running its changed only once, all other operations
> are O(1) in the same way you consider a*b, a%b or a/b to be O(1) its not
> actually about how the actual thing is implemented but the comparative
> effect that it has to the whole function."
>
> I have to disagree with you on the speed though, my solution depends too
> much on the underlying implementations of those algorithms but it can out
> perform with python 3.3 but not with python 2.7 (g.py includes the given
> solution)
>
> [madura@trex-j ~]$ time python2.7 g.py < Downloads/A-large-practice.in >
> /dev/null
>
> real 0m1.350s
> user 0m1.317s
> sys 0m0.030s
> [madura@trex-j ~]$ time python3 ~/kdev/bullseye/bullseye.py <
> Downloads/A-large-practice.in > /dev/null
>
> real 0m0.738s
> user 0m0.727s
> sys 0m0.010s
>
>
>
> - Madura A.
>
>
> On Sat, May 4, 2013 at 6:23 PM, kmwho <iamkm...@gmail.com> wrote:
>
>> Correct me if I am wrong, but
>> The answer to your question is given by yourself, it relies on the
>> arbitrary precision arithmetic of Decimal module of python, which is doing
>> all the work. and infact your solution is slower than the one given in the
>> analysis. The given solution works in logarithmic time on t.
>> In your solution you use exact sqrt function, which uses babylonian sqrt
>> method, which I believe has a similar complexity, but on your desired
>> precision (which is set to 10^100)
>>
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