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import logging | |
import threading | |
import time | |
""" | |
3.5 Multiplex | |
Puzzle: Generalize the previous solution so that it allows multiple threads to run in the critical section at the same time, | |
but it enforces an upper limit on the number of concurrent threads. | |
In other words, no more thannthreads canrun in the critical section at the same time. | |
This pattern is called a multiplex. In real life, the multiplex problem occurs at busy nightclubs where | |
there is a maximum number of people allowed in the building at a time, either to maintain fire safety or to | |
createthe illusion of exclusivity. | |
""" | |
import random | |
def count(mutex): | |
global x | |
mutex.acquire() | |
temp = x | |
time.sleep(random.random() / 100) | |
x=temp+1 | |
mutex.release() | |
x = 0 | |
if __name__ == "__main__": | |
logging.basicConfig(level=logging.INFO) | |
logging.info("Main start") | |
n = 10 | |
mutex = threading.Semaphore(n) | |
print(x) | |
threads = [] | |
for t in range(100): | |
t = threading.Thread(target=count, args=(mutex,)) | |
t.start() | |
print(x) | |
threads.append(t) | |
for thread in threads: | |
thread.join() | |
print(x) | |
logging.info("Main end") | |
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