How can I optimize a circular queue in Python?

How can I optimize a circular queue in Python?

To optimize a circular queue in Python, you can use a list with a fixed size and two pointers to track the front and rear.

What are the advantages of using a circular queue?

Circular queues use space efficiently and allow for constant time complexity for enqueue and dequeue operations.

Can you show me a sample implementation?

Sure! Here's a simple implementation:

class CircularQueue:
    def __init__(self, size):
        self.size = size
        self.queue = [None] * size
        self.front = self.rear = -1

    def enqueue(self, value):
        if (self.rear + 1) % self.size == self.front:
            print('Queue is full')
        elif self.front == -1:
            self.front = self.rear = 0
            self.queue[self.rear] = value
        else:
            self.rear = (self.rear + 1) % self.size
            self.queue[self.rear] = value

    def dequeue(self):
        if self.front == -1:
            print('Queue is empty')
        elif self.front == self.rear:
            value = self.queue[self.front]
            self.front = self.rear = -1
            return value
        else:
            value = self.queue[self.front]
            self.front = (self.front + 1) % self.size
            return value

How can I handle overflow and underflow in this implementation?

You can handle overflow by checking if the next position of the rear pointer equals the front pointer. For underflow, check if the front pointer is -1 before dequeuing.