我如何并行化此python脚本

Question

Hey I've got a working script but it work on k-combinations so it work long... I want to parallelize a for loop to divide the work time.

Here is the simplified code:

fin2 = open('combi_nod.txt','r')
for lines in fin2:
    (i, j) = eval(lines)
    edgefile = open('edge.adjlist', 'a')
    count = 0
    for element in intersection(
            eval(linecache.getline('triangleset.txt', i+1)),
            eval(linecache.getline('triangleset.txt', j+1))):
        if element not in merge:
           count = 1
           break
    if count == 0:
        edgefile.write(' ' + str(j))
    edgefile.close()
fin2.close()

How can I do this?

EDIT

After some modification I have accomplished the multiprocessing loop. But their is a associate issue:

in my initial for loop I search in the combi_nod.txt file; combi_nod.txt content is the itertools.combinaison of large number. (so, at a point I can anymore store them in variable)

My multiprocessing loop work with a list of this itertools.combinaison because I haven't see a way to pass line of a file in arguments (so I have a memory issue), have you a new Idea?

EDIT2

For clarification, here is the code like it is a this point:

def intersterer(lines):
  (i, j) = lines
  counttt = 0
  for element in some_stuff:
    if element not in merge:
      counttt = 1
      break
  if counttt == 0:
     return (int(i), int(j))
  else:
     return (0, 0)

fin2 = open('combi_nod.txt','w')
for trian_c in itertools.combinations(xrange(0, counter_tri), 2):
#counter_tri is a large number
    fin2.write(str(trian_c) + "\n")
fin2.close()
fin2 = open('combi_nod.txt','r')

if __name__ == '__main__':
    pool = Pool() 
    listt = pool.map(intersterer, itertools.combinations(xrange(0, counter_tri), 2))  
    f2(listt)
    if (0,0) in listt: listt.remove((0,0))

and I want to have something working like:

listt = pool.map(intersterer, fin2) 

But all my tests doesn't work at all... Help...