การเพิ่มผลลัพธ์พูลให้กับ dict

สิ่งนี้เป็นไปได้ คุณเพียงแค่ต้องเปลี่ยนไปใช้ฟังก์ชัน Lazy Mapping (ไม่ใช่ map หรือ starmap ซึ่งจะต้องคำนวณผลลัพธ์ทั้งหมดให้เสร็จก่อนจึงจะเริ่มใช้งานได้):

from functools import partial
from itertools import tee

manager = multiprocessing.Manager()
graph_pool = manager.dict(graph)
pool = multiprocessing.Pool()

# Since you're processing in order and in parallel, tee might help a little
# by only generating the dict keys/search arguments once. That said, 
# combinations of n choose 2 are fairly cheap; the overhead of tee's caching
# might overwhelm the cost of just generating the combinations twice
startgoals1, startgoals2 = tee(itertools.combinations(graph, 2))

# Use partial binding of search with graph_pool to be able to use imap
# without a wrapper function; using imap lets us consume results as they become
# available, so the tee-ed generators don't store too many temporaries
results = pool.imap(partial(search, graph_pool), startgoals2))

# Efficiently create the dict from the start/goal pairs and the results of the search
# This line is eager, so it won't complete until all the results are generated, but
# it will be consuming the results as they become available in parallel with
# calculating the results
all_solutions = dict(zip(startgoals1, results))