6. Initial value of shared variable m is equal to 0 and it is stored at memory address 1100. threads A, B, Y, Z use this variable as follows: Processes A and B increase the value of m by 1. Processes Y and Z decrease the value of m by 1. Since m is shared, each process protects the critical region using semaphore S initialized to 2. Write the sequence of operations so that after each thread is executed once, the value of m is equal to-2. assume the code is used S=2 Proses A A1: W(S) A2: LOAD m, 1100 A3: ADD 1 A4: MV A, 1100 A5: S(S) Proses B B1; W(S) B2: LOAD m, 1100 83: SUBT 1 B4: MV A, 1100 B5: S(S) Proses Y Y1: W(S) Y2: LOAD m, 1100 Y3: ADD 1 Y4: MV A, 1100 Y5: S(S) Proses 2 21: W(S) 22: LOAD m, 1100 23: SUBT 1 24: MV A, 1100 25:5(5)

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Two threads inside the same process are compared to two independent processes. How do you know when is the right time to act?

In Python code:  Put the thread_function on a thread.  Put 3 threads into a queue and run the threads. import queuequeue = queue.Queue def thread_function(name):    print("Thread %s: starting", name)    time.sleep(2)    print("Thread %s: finishing", name)   # start threads by passing function to Thread constructorfrom pprint import pprintimport threadingimport time def threadfunc(*t):    print(">>>>",*t)    time.sleep(1)    print('[',*t,']')    time.sleep(2)    print("<<<<",*t) arg1 = ("AAAAAAAA")threadA = threading.Thread(target=threadfunc,args=arg1)threadA.start()  arg2 = ("BBBBBBBB")threadB = threading.Thread(target=threadfunc,args=arg2)threadB.start()  arg3 = ("CCCCCCCC")threadC = threading.Thread(target=threadfunc,args=arg3)threadC.start()  threadA.join()threadB.join()threadC.join() # multiple threadsimport threadingimport time tnames = ('AAAAAAAA','BBBBBBBB','CCCCCCCC')count = len(tnames)threadlist = []count = 3 def threadfunc(*t):…