import PySide.QtCore as QtCore # Create a mutex mutex = QtCore.QMutex() # Create a function to be called by multiple threads def increment_counter(counter_ref): # Lock the mutex locker = QtCore.QMutexLocker(mutex) # Increment the counter counter_ref.value += 1 # Print the current value print("Counter value:", counter_ref.value) # Create a counter object counter = QtCore.QAtomicInt(0) # Create three threads that call the increment_counter function thread1 = QtCore.QThread() thread2 = QtCore.QThread() thread3 = QtCore.QThread() worker1 = QtCore.QObject() worker1.moveToThread(thread1) thread1.started.connect(lambda: increment_counter(counter)) thread1.start() worker2 = QtCore.QObject() worker2.moveToThread(thread2) thread2.started.connect(lambda: increment_counter(counter)) thread2.start() worker3 = QtCore.QObject() worker3.moveToThread(thread3) thread3.started.connect(lambda: increment_counter(counter)) thread3.start()In this example, we create a mutex using the `QMutex` class from QtCore. We then define a function that increments a counter, which is passed as a reference. Inside the function, we create a `QMutexLocker` object to lock the mutex for thread-safe access to the counter. We then increment the counter and print the current value. We create three threads, each with their own `QThread` and `QObject` workers. We connect the `started` signal of each thread to a lambda function that calls the `increment_counter` function with the counter object as a reference. By using a `QMutexLocker` to lock the mutex, we ensure that only one thread accesses the counter at a time, preventing race conditions. Package library: PySide (Python bindings for the Qt toolkit)