Simulate a deadlock situation containing two threads so that due to the deadlock no thread is able to complete its execution. Each one of them is asking for a lock for two shared data items (first_mutex and second_mutex).Sample Test CasesTest Case 1:Expected Output:Thread·1·acquired·mutex1Thread·1·acquired·mutex2Thread·1·released·mutex2Thread·1·released·mutex1Thread·2·acquired·mutex2Thread·2·acquired·mutex1Thread·2·released·mutex1Thread·2·released·mutex2

Here is a simple Python code that simulates a deadlock situation:

import threading

# The two mutexes
first_mutex = threading.Lock()
second_mutex = threading.Lock()

def thread_1():
    while True:
        first_mutex.acquire()
        print("Thread 1 acquired mutex1")
        
        second_mutex.acquire()
        print("Thread 1 acquired mutex2")
        
        second_mutex.release()
        print("Thread 1 released mutex2")
        
        first_mutex.release()
        print("Thread 1 released mutex1")

def thread_2():
    while True:
        second_mutex.acquire()
        print("Thread 2 acquired mutex2")
        
        first_mutex.acquire()
        print("Thread 2 acquired mutex1")
        
        first_mutex.release()
        print("Thread 2 released mutex1")
        
        second_mutex.release()
        print("Thread 2 released mutex2")

t1 = threading.Thread(target=thread_1)
t2 = threading.Thread(target=thread_2)

t1.start()
t2.start()

In this code, we have two threads, thread_1 and thread_2, and two mutexes, first_mutex and second_mutex. Each thread tries to acquire both mutexes in a loop. However, the order in which they try to acquire the mutexes is different. This can lead to a situation where thread_1 has acquired first_mutex and thread_2 has acquired second_mutex, and they are both waiting for the other mutex to be released, leading to a deadlock.