Enormous Input and Output Test

[Duncan Booth]

n00m <n00m at narod.ru> wrote:

> 
> I've given up :-)

Here's my attempt, which is about 30% faster than your original but I've no 
idea if it would be fast enough for you.

import sys, time, os, itertools
import gc
gc.set_threshold(9999)
D = []
def foo():
    ##sys.stdin = open('D:/1583.txt', 'rt')
    count = int(sys.stdin.readline())
    data = sys.stdin.read().split()
    D.append(data)
    data = map(int, data)
    D.append(data)
    nextval = iter(data).next
    data = map(str, (nextval()*nextval() for a in xrange(count)))
    D.append(data)
    sys.stdout.write('\n'.join(data))
    sys.stdout.write('\n')

start = time.time()
foo()
print >>sys.stderr, time.time() - start
os._exit(0)

Storing the large lists in a global prevent them deallocating when the 
function returns, so speeds up the time as I recorded it. If they are 
timing the whole process then I think calling _exit() should avoid the 
final cleanup time.

Playing with the garbage collector makes it ever so slightly faster 
although disabling it entirely makes it much slower.

I feel there ought to be a faster alternative to xrange but if so I 
couldn't find it.

As Terry said, it's all hack tricks.