def Thread_Rank(k):
""" Method to be done by a thread from the pool"""
pack = _args[0]
item = Pack()
item.name = k
item.ratio = ratio(pack, k)
return item
def Thread_Align(k):
""" Method to be done by a thread from the pool"""
pack = _args[0]
item = Pack()
item.name = k
alinhamento = sw.align(pack, k)
item.ratio = (alinhamento.mismatches +
fabs(len(pack) - len(k)) - alinhamento.matches) + len(pack)
return item
def Rankilist(pack):
cache = Cache()
if _options.single:
list_app = []
for k in cache:
item = Pack()
item.name = k.name
item.ratio = ratio(pack, k.name)
list_app.append(item)
return list_app
else:
_pool = Pool(processes=_MAX_PEERS)
result = _pool.map(Thread_Rank, cache._set)
return result
def SmithWaterman(pack):
""" Method to execute the algorithm """
cache = Cache()
if _options.single:
list_app = []
for k in cache:
item = Pack()
item.name = k.name
alinhamento = sw.align(pack, k.name)
item.ratio = [alinhamento.matches, fabs(len(pack) - len(k.name)),
alinhamento.score, alinhamento.mismatches]
list_app.append(item)
return list_app
else:
_pool = Pool(processes=_MAX_PEERS)
result = _pool.map(Thread_Align, cache._set)
return result
def Thread_Rank(k):
pack = _args[0]
item = Pack()
item.name = k
item.ratio = ratio(pack, k)
return item