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我使用列表理解VS concurrent.futures測試平凡函數慢:concurrent.futures.ThreadPoolExecutor是比列表理解
class Test:
@staticmethod
def something(times = 1):
return sum([1 for i in range(times)])
@staticmethod
def simulate1(function, N):
l = []
for i in range(N):
outcome = function()
l.append(outcome)
return sum(l)/N
@staticmethod
def simulate2(function, N):
import concurrent.futures
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
l = [outcome for outcome in executor.map(lambda x: function(), range(N))]
return sum(l)/N
@staticmethod
def simulate3(function, N):
import concurrent.futures
l = 0
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
futures = [executor.submit(function) for i in range(N)]
for future in concurrent.futures.as_completed(futures):
l += future.result()
return l/N
def simulation():
simulationRate = 100000
import datetime
s = datetime.datetime.now()
o = Test.simulate1(lambda : Test.something(10), simulationRate)
print((datetime.datetime.now() - s))
s = datetime.datetime.now()
o = Test.simulate2(lambda : Test.something(10), simulationRate)
print((datetime.datetime.now() - s))
s = datetime.datetime.now()
o = Test.simulate3(lambda : Test.something(10), simulationRate)
print((datetime.datetime.now() - s))
simulation()
測量的時候,我得到:
0:00:00.258000
0:00:10.348000
0:00:10.556000
我開始使用併發性,所以我不明白阻止線程運行速度的瓶頸是什麼。
我明白了,非常感謝! – edoedoedo