Relearning basics of CS - Implementing Queue
urulaik
Posted on October 14, 2024
Have you ever stood in a queue, The queue data structure also does the same thing. You stand in the end of line when you want to place an order maybe in your favorite self service restaurant and then you move up the queue and leave.
The Queue data structure in CS performs the same functionality. The Queue Data structure is a First In First Out data structure. The Queue Data structure can be built with two basic functions Enqueue and Dequeue which basically is adding to the list and removing from the list.
Real life examples
In the real world of computer science Queues form the backbone of the following software components
- Task scheduling
- Event handling
- Async communication etc
While a simple easy to visualize component would be
- A queue in playlist for the songs
- A queue in the order of data being sent across the network etc
Implementation
package main
import (
"fmt"
"errors"
)
type Queue struct{
Elements []int
Size int
}
func (q *Queue) Enqueue(value int){
if q.GetLength() == q.Size {
fmt.Println("Overflow")
return
}
q.Elements = append(q.Elements, value)
}
func (q *Queue) Dequeue() int {
if q.IsEmpty() {
fmt.Println("UnderFlow")
return 0
}
element := q.Elements[0]
if q.GetLength() == 1 {
q.Elements = nil
return element
}
q.Elements = q.Elements[1:]
return element
}
func (q *Queue) GetLength() int {
return len(q.Elements)
}
func (q *Queue) IsEmpty() bool {
return len(q.Elements) == 0
}
func (q *Queue) Peek() (int, error) {
if q.IsEmpty() {
return 0, errors.New("empty queue")
}
return q.Elements[0], nil
}
Complexity
Time Complexity - O(1) for Enqueue and Dequeue
Space complexity - O(1) for Enqueue and Dequeue
References
Reference - https://www.geeksforgeeks.org/queue-in-go-language/
Posted on October 14, 2024
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