An example of the way that you could implement the data structure is shown below:
Python
class StackNode:
def __init__(self, data):
self.data = data
self.next = None
class
Queue:
def
__init__(self):
self.front = None
self.rear = None
def
enqueue(self, data):
new_node = StackNode(data)
if self.front is
None:
self.front = new_node
self.rear = new_node
else:
self.rear.next = new_node
self.rear = new_node
def
dequeue(self):
if self.front is
None:
raise Exception("Queue is empty")
temp = self.front
self.front = self.front.next
if self.front is None:
self.rear = None
return temp.data
class LinkedList:
def __init__(self):
self.head = None
def push(self, data):
new_node = StackNode(data)
new_node.next = self.head
self.head = new_node
def pop(self):
if self.head is None:
raise Exception("Linked list is empty")
temp = self.head
self.head = self.head.next
return temp.data
So, The above code defines three classes: StackNode, Queue, and LinkedList. The StackNode class represents a node in the linked list. The Queue class represents a queue that is used to manage elements that are waiting to be popped from the stack. The LinkedList class stands for the main linked list.
Tasks
Create a linked list where each node is implemented as a stack, capable of storing elements of any data type.
Develop a sub-linked list structure to function as a queue for efficient element management.
Construct a class hierarchy that encompasses classes for stack nodes, queues, and the main linked list.
Utilize inheritance and polymorphism to ensure a clean and extensible design.
Implement methods for adding elements to the front of the linked list (push operation) and for removing elements from the front (pop operation).
Bonus
Ensure that these operations are efficient and maintain the data structure's integrity.
- Implement dynamic resizing of the linked list to adapt to changing numbers of elements.
Develop error handling mechanisms for scenarios such as stack underflow or queue overflow.
Desktop
21 C
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