What is the worst case running time for push with a single linked list?

How do you write a function that can reverse a linked-list?

Can you write a program in python for the dining philosopher problems that do not have deadlock? You have to use semaphores and use the strategy that a philosopher only picks the fork if both (left and right) are available. def philosopher(id: int, fork: list): The main is if __name__ == "__main__": semaphoreList = list() #this list will hold one semaphore per fork Philosophers = 5 for i in range(Philosophers): semaphoreList.append(multiprocessing.Semaphore(1)) philosopherList = list() for i in range(Philosophers): #instantiate all processes representing philosophers philosopherList.append(multiprocessing.Process(target=philosopher, args=(i, semaphoreList))) for j in range(Philosophers): #start all child processes philosopherList[j].start() for k in range(Philosophers): #join all child processes philosopherList[k].join() sample output: DEBUG: philosopher2 has chopstick2 DEBUG: philosopher2 has chopstick3 DEBUG: philosopher2 eating DEBUG: philosopher1 has chopstick1 DEBUG: philosopher0…

Suppose you have an array-based implementation of a linked list. What would be the worst case asymtotic runtime of the following functions? Select the tightest. Please explain for each funtion. insert() search() delete() minimum() maximum()