I agree.
On 1 May 2012 18:01, "Registered user" <[email protected]> wrote:

> lets plz close this thread...
> the person who asked has got the ans. and now plz do not reply anymore to
> this. lets have some mercy on the traffic.
>
> this thread is closed...
> On 1 May 2012 12:18, "Luke Pebody" <[email protected]> wrote:
>
>> Agreed. I think Problem B could have been coded in Brainf*ck or something
>> like that without having any difficulty of finishing on time.
>>
>> However, as the contest progresses this is less and less the case. Still,
>> I contend that one could write a solution to any code jam problem so far in
>> Python, that would run in under 8 minutes with pypy.
>>
>> I came quite late into the knowledge of pypy. I qualified for last years
>> World Finals by virtue of having solved the D-large in Round 3. However, I
>> was very lucky, as running it took about 7 minutes and 30 seconds. Had I
>> been using pypy, it would have been much more comfortable.
>> On 30 Apr 2012 23:46, "Makandriaco" <[email protected]> wrote:
>>
>>> I think there was no problem with speed on problem B, I made it with
>>> Visual Basic and runned in under 20 seconds with the large input.
>>> Still think C++ is much more appropriate for these than VB but this
>>> time it worked fine.
>>>
>>> On Apr 28, 11:42 am, tutufan <[email protected]> wrote:
>>> > I'm using Python, too.  In the qualification round, I almost got
>>> burned, as
>>> > I was running it on a very slow machine, and only finished the large
>>> input
>>> > on one problem with seconds to spare.  This time, I coded up some
>>> > boilerplate that (together with xargs) will allow me to run separate
>>> cases
>>> > individually, on separate CPUs.  Pypy would also be a possibility for
>>> > speeding things up some.  Unfortunately, since I was mostly tripping
>>> over
>>> > the algorithms, I didn't really get a chance to benefit from this.
>>> >
>>> > As Luke says below, I think there's a way to use multiple heap queues
>>> and
>>> > maybe sets to get to O(n log n).  For the one star levels, you can just
>>> > keep track of the two sets (sufficient and not), and move levels from
>>> one
>>> > to the other as they become achievable.  In any case, this time,
>>> quadratic
>>> > was good enough, and certainly leads to a simpler algorithm.
>>> >
>>> > Mike
>>> >
>>> >
>>> >
>>> > On Saturday, April 28, 2012 12:17:31 AM UTC-5, IdahoJacket wrote:
>>> >
>>> > > My n^2 solution in Python ran the large input in ~20 seconds.
>>>  Considering
>>> > > that Python is not known for its speed, and I made no particular
>>> effort to
>>> > > make my code efficient, doing it in C++ would be unlikely to make any
>>> > > difference.
>>> >
>>> > > I'm not sure how you would create an n log(n) algorithm.  You could
>>> use a
>>> > > heap for finding any available 2 star levels to play in n log(n)
>>> time, but
>>> > > choosing which 1 star level is harder.  The search for 1 star levels
>>> first
>>> > > needs to bisect the list of nodes into those you have enough stars to
>>> > > complete and those you don't.  Then you need to find which of those
>>> has the
>>> > > largest 2 star value.  The first part can be done in log(n) time,
>>> but I
>>> > > don't see how you can do the second part in under n.
>>> >
>>> > > On Friday, April 27, 2012 9:03:04 PM UTC-7, tutufan wrote:
>>> >
>>> > >> I (deservedly) got crushed in Round 1A (20pts).  In the process,
>>> though,
>>> > >> noted that the winning solutions to problem B are all quadratic,
>>> even
>>> > >> though (I think) the problem is actually O(n log n).  My incorrect
>>> > >> algorithm was, being based on heap queues, and I'm thinking the
>>> correct
>>> > >> algorithm also could be done that way.
>>> >
>>> > >> If so, this is maybe a case where C++ helps you out (i.e., you can
>>> be
>>> > >> quadratic and just blow through it).
>>> >
>>> > >> On Friday, April 27, 2012 3:35:23 PM UTC-5, tutufan wrote:
>>> >
>>> > >>> Apparently C++ is the most common language used by GCJ winners, at
>>> least
>>> > >>> in later rounds (if not all of them).  It seems like the pressure
>>> for a
>>> > >>> rapid solution would suggest a higher-level language like Python,
>>> Ruby,
>>> > >>> Lisp, etc., but that's not what contestants are actually doing.
>>> >
>>> > >>> Any theories for this?  Possibilities:
>>> >
>>> > >>>    1. C++, being an order of magnitude faster for execution, allows
>>> > >>>    more slop in sub-optimal algorithm selection.
>>> > >>>    2. C++ happens to be the language the best or most fluent
>>> coders are
>>> > >>>    using all day long (so are most familiar with).
>>> > >>>    3. C++ is actually the best language (a priori) for this
>>> contest,
>>> > >>>    for some non-obvious reason.
>>> >
>>> > >>> What do you think?
>>>
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