![]() ![]() Qsize() – This function will return the number of elements present in the queue. If there is no empty slot in the queue, then it will raise QueueFull. Put_nowait(ele) – This function will put an element in the queue without blocking. If the queue is full, then it waits until a free slot is available before adding an element. Put(ele) – This function will put an element in the queue. Get_nowait() – Return the element from the front end of the queue which is available, else it will raise QueueEmpty. Any line of customers waiting to access a sale where the customer who arrived first can access first is a good example of a queue. If the queue is empty, wait until an element is available. Get() – Remove and return the element from the front of the queue. the queue will be an infinite queue and for this case full() function will never return True. Maxsize – Number of elements allowed to insert in the queue.Įmpty() – Return True if the queue has no element present in it, else return False.įull() – Return True if the number of elements present in the queue is equal to the maxsize. This queue always follows the FIFO principle. For making an infinite queue set the value of maxsize = 0. self.outstack def enqueue(self,element): Add an enqueue with the IN. Syntax for implementing a queue in a variable is Queue(maxsize) where maxsize is the maximum number of elements that can be inserted in the queue. Given the Stack class below, implement a Queue class using two stacks. There is a built-in module in Python for implementing queues. Print("\nElements dequeued from the queue")ĭeque() Implementation using queue.Queue However, using the list in the implementation is a quite slow process, as inserting or deleting an item from the beginning requires shifting all of the other elements by one which is having O(N) time complexity. In place of enqueue() and dequeue(), there are append() and pop() functions. The list is a built-in data structure in python that can be used as a queue. Given below are the different ways to implement a queue in python: There are many ways to implement a queue in python. The time complexity of this function is O(1). Basically I want the results to be: Task 1 sleeping 9 Task 2 sleeping 8 Task 3 sleeping 7 Task 4 sleeping 6 Task 5 sleeping 5 Task 6 sleeping 4 Task 7 sleeping 3 Task 8 sleeping 2 Task 9 sleeping 1. Rear: This function returns the last element of the queue. The time complexity of this function is O(1). The time complexity of the dequeue is O(1).įront: This function returns the front element of the queue. If the queue is empty, then it will be in an underflow condition. The time complexity of the enqueue is O(1).ĭequeue: This function is used to remove an element from the front end of the queue. If the queue is completely filled, then it will be in an overflow condition. Given below are the operations of the queue:Įnqueue: This function is used to add an element to the rear end of the queue. For example, a queue of consumers for a resource or service where the consumer who comes first will be served first. In the queue, the element which is added at least recently is removed first from it. The queue is a linear data structure that works on the principle of First in First out (FIFO). ![]()
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