How to Correctly Implement a Queue Data Structure in Go Using a Circular Array?-Golang-php.cn

How to Correctly Implement a Queue Data Structure in Go Using a Circular Array?

Susan Sarandon

Release： 2024-11-29 06:36:10

Original

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How to Correctly Implement a Queue Data Structure in Go Using a Circular Array?

How to implement a queue in Go?

Background:

In Go, the standard library lacks a queue container. To implement a queue, you can utilize a circular array as the underlying data structure.

Initial Implementation:

The provided code employs a circular array with the following algorithms:

Insertion: Insert Y into queue X: X[R] <- Y; R <- (R 1) % M; if R = F then OVERFLOW.
Deletion: Delete Y from queue X: if F = R then UNDERFLOW; Y <- X[F]; F <- (F 1) % M.

Where F is the front, R is the rear, and M is the array length.

Code and Incorrect Output:

The provided code implements these algorithms, but the output exhibits incorrect behavior:

package main

import (
    "fmt"
)

type Queue struct {
    len        int
    head, tail int
    q          []int
}

func New(n int) *Queue {
    return &Queue{n, 0, 0, make([]int, n)}
}

func (p *Queue) Enqueue(x int) bool {
    p.q[p.tail] = x
    p.tail = (p.tail + 1) % p.len
    return p.head != p.tail
}

func (p *Queue) Dequeue() (int, bool) {
    if p.head == p.tail {
        return 0, false
    }
    x := p.q[p.head]
    p.head = (p.head + 1) % p.len
    return x, true
}

func main() {
    q := New(10)
    for i := 1; i < 13; i++ {
        fmt.Println(i, q.Enqueue(i))
    }
    fmt.Println()
    for i := 1; i < 13; i++ {
        fmt.Println(q.Dequeue())
    }
}

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Output:

1 true
2 true
3 true
4 true
5 true
6 true
7 true
8 true
9 true
10 false
11 true
12 true

11 true
12 true
0 false
0 false
0 false
0 false
0 false
0 false
0 false
0 false
0 false
0 false

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Solution:

To rectify this issue, an additional field is required. The modified code incorporates a check to ensure that the updated tail position does not coincide with the head:

package main

import (
    "fmt"
)

type Queue struct {
    len        int
    head, tail int
    q          []int
}

func New(n int) *Queue {
    return &Queue{n, 0, 0, make([]int, n)}
}

func (p *Queue) Enqueue(x int) bool {
    p.q[p.tail] = x
    ntail := (p.tail + 1) % p.len
    ok := false
    if ntail != p.head {
        p.tail = ntail
        ok = true
    }
    return ok
}

func (p *Queue) Dequeue() (int, bool) {
    if p.head == p.tail {
        return 0, false
    }
    x := p.q[p.head]
    p.head = (p.head + 1) % p.len
    return x, true
}

func main() {
    q := New(10)
    for i := 1; i < 13; i++ {
        fmt.Println(i, q.Enqueue(i))
    }
    fmt.Println()
    for i := 1; i < 13; i++ {
        fmt.Println(q.Dequeue())
    }
}

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With this correction, the output is accurate:

1 true
2 true
3 true
4 true
5 true
6 true
7 true
8 true
9 true
10 true
11 true
12 true

1
2
3
4
5
6
7
8
9
10
11
12

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Alternative Implementation Using Slices:

In modern Go versions, a simpler implementation is possible using slices:

package main

import (
    "fmt"
)

// Queue implements a queue using a slice.
type Queue []int

// Enqueue adds an element to the end of the queue.
func (q *Queue) Enqueue(x int) {
    *q = append(*q, x)
}

// Dequeue removes and returns the first element of the queue.
func (q *Queue) Dequeue() (int, bool) {
    if len(*q) == 0 {
        return 0, false
    }
    x := (*q)[0]
    *q = (*q)[1:]
    return x, true
}

func main() {
    q := Queue{}
    for i := 1; i < 13; i++ {
        q.Enqueue(i)
    }
    fmt.Println(q)

    for i := 0; i < 12; i++ {
        x, _ := q.Dequeue()
        fmt.Println(x)
    }
}

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This implementation leverages slices' dynamic growth and garbage collection, making it both efficient and practical.

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