A similar question was asked earlier there, but the question here is the reverse of it, using two queues as a stack. The question...
Given two queues with their standard operations (enqueue
, dequeue
, isempty
, size
), implement a stack with its standard operations (pop
, push
, isempty
, size
).
There should be two versions of the solution.
I am interested in the algorithm more than any specific language implementations. However, I welcome solutions expressed in languages which I am familiar (java,c#,python,vb,javascript,php).
This question is related to
algorithm
data-structures
stack
here is the complete working code in c# :
It has been implemented with Single Queue,
push:
1. add new element.
2. Remove elements from Queue (totalsize-1) times and add back to the Queue
pop:
normal remove
using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace StackImplimentationUsingQueue
{
class Program
{
public class Node
{
public int data;
public Node link;
}
public class Queue
{
public Node rear;
public Node front;
public int size = 0;
public void EnQueue(int data)
{
Node n = new Node();
n.data = data;
n.link = null;
if (rear == null)
front = rear = n;
else
{
rear.link = n;
rear = n;
}
size++;
Display();
}
public Node DeQueue()
{
Node temp = new Node();
if (front == null)
Console.WriteLine("Empty");
else
{
temp = front;
front = front.link;
size--;
}
Display();
return temp;
}
public void Display()
{
if (size == 0)
Console.WriteLine("Empty");
else
{
Console.Clear();
Node n = front;
while (n != null)
{
Console.WriteLine(n.data);
n = n.link;
}
}
}
}
public class Stack
{
public Queue q;
public int size = 0;
public Node top;
public Stack()
{
q = new Queue();
}
public void Push(int data)
{
Node n = new Node();
n.data = data;
q.EnQueue(data);
size++;
int counter = size;
while (counter > 1)
{
q.EnQueue(q.DeQueue().data);
counter--;
}
}
public void Pop()
{
q.DeQueue();
size--;
}
}
static void Main(string[] args)
{
Stack s= new Stack();
for (int i = 1; i <= 3; i++)
s.Push(i);
for (int i = 1; i < 3; i++)
s.Pop();
Console.ReadKey();
}
}
}
As has been mentioned, wouldn't a single queue do the trick? It's probably less practical but is a bit slicker.
push(x):
enqueue(x)
for(queueSize - 1)
enqueue(dequeue())
pop(x):
dequeue()
Let S1 and S2 be the two Stacks to be used in the implementation of queues.
struct Stack
{ struct Queue *Q1;
struct Queue *Q2;
}
We make sure that one queue is empty always.
Push operation : Whichever queue is not empty, insert the element in it.
Push (struct Stack *S, int data)
{
if(isEmptyQueue(S->Q1)
EnQueue(S->Q2, data);
else EnQueue(S->Q1, data);
}
Time Complexity: O(1)
Pop Operation: Transfer n-1 elements to other queue and delete last from queue for performing pop operation.
`
int Pop(struct Stack *S){
int i, size;
if(IsEmptyQueue(S->Q2))
{
size=size(S->Q1);
i=0;
while(i<size-1)
{ EnQueue(S->Q2, Dequeue(S->Q1)) ;
i++;
}
return DeQueue(S->Q1);
}
else{
size=size(S->Q2);
while(i<size-1)
EnQueue(S->Q1, Dequeue(S->Q2)) ;
i++;
}
return DeQueue(S->Q2);
} }
Time Complexity: Running Time of pop Operation is O(n) as each time pop is called, we are transferring all the elements from one queue to oter.
import java.util.LinkedList;
import java.util.Queue;
public class StackQueue {
static Queue<Integer> Q1 = new LinkedList<Integer>();
static Queue<Integer> Q2 = new LinkedList<Integer>();
public static void main(String args[]) {
push(24);
push(34);
push(4);
push(10);
push(1);
push(43);
push(21);
System.out.println("Popped element is "+pop());
System.out.println("Popped element is "+pop());
System.out.println("Popped element is "+pop());
}
public static void push(int data) {
Q1.add(data);
}
public static int pop() {
if(Q1.isEmpty()) {
System.out.println("Cannot pop elements , Stack is Empty !!");
return -1;
}
else
{
while(Q1.size() > 1) {
Q2.add(Q1.remove());
}
int element = Q1.remove();
Queue<Integer> temp = new LinkedList<Integer>();
temp = Q1;
Q1 = Q2;
Q2 = temp;
return element;
}
}
}
Here is very simple solution which uses one Queue and gives functionality like Stack.
public class CustomStack<T>
{
Queue<T> que = new Queue<T>();
public void push(T t) // STACK = LIFO / QUEUE = FIFO
{
if( que.Count == 0)
{
que.Enqueue(t);
}
else
{
que.Enqueue(t);
for (int i = 0; i < que.Count-1; i++)
{
var data = que.Dequeue();
que.Enqueue(data);
}
}
}
public void pop()
{
Console.WriteLine("\nStack Implementation:");
foreach (var item in que)
{
Console.Write("\n" + item.ToString() + "\t");
}
var data = que.Dequeue();
Console.Write("\n Dequeing :" + data);
}
public void top()
{
Console.Write("\n Top :" + que.Peek());
}
}
So in the above class named "CustomStack" what I am doing is just checking the queue for empty , if empty then insert one and from then on wards insert and then remove insert. By this logic first will come last. Example : In queue I inserted 1 and now trying to insert 2. Second time remove 1 and again insert so it becomes in reverse order.
Thank you.
The easiest (and maybe only) way of doing this is by pushing new elements into the empty queue, and then dequeuing the other and enqeuing into the previously empty queue. With this way the latest is always at the front of the queue. This would be version B, for version A you just reverse the process by dequeuing the elements into the second queue except for the last one.
Step 0:
"Stack"
+---+---+---+---+---+
| | | | | |
+---+---+---+---+---+
Queue A Queue B
+---+---+---+---+---+ +---+---+---+---+---+
| | | | | | | | | | | |
+---+---+---+---+---+ +---+---+---+---+---+
Step 1:
"Stack"
+---+---+---+---+---+
| 1 | | | | |
+---+---+---+---+---+
Queue A Queue B
+---+---+---+---+---+ +---+---+---+---+---+
| 1 | | | | | | | | | | |
+---+---+---+---+---+ +---+---+---+---+---+
Step 2:
"Stack"
+---+---+---+---+---+
| 2 | 1 | | | |
+---+---+---+---+---+
Queue A Queue B
+---+---+---+---+---+ +---+---+---+---+---+
| | | | | | | 2 | 1 | | | |
+---+---+---+---+---+ +---+---+---+---+---+
Step 3:
"Stack"
+---+---+---+---+---+
| 3 | 2 | 1 | | |
+---+---+---+---+---+
Queue A Queue B
+---+---+---+---+---+ +---+---+---+---+---+
| 3 | 2 | 1 | | | | | | | | |
+---+---+---+---+---+ +---+---+---+---+---+
Here's one more solution:
for PUSH : -Add first element in queue 1. -When adding second element and so on, Enqueue the element in queue 2 first and then copy all the element from queue 1 to queue2. -for POP just dequeue the element from the queue from you inserted the last element.
So,
public void push(int data){
if (queue1.isEmpty()){
queue1.enqueue(data);
} else {
queue2.enqueue(data);
while(!queue1.isEmpty())
Queue2.enqueue(queue1.dequeue());
//EXCHANGE THE NAMES OF QUEUE 1 and QUEUE2
} }
public int pop(){
int popItem=queue2.dequeue();
return popItem;
}'
There is one problem, I am not able to figure out, how to rename the queues???
import java.util.*;
/**
*
* @author Mahmood
*/
public class StackImplUsingQueues {
Queue<Integer> q1 = new LinkedList<Integer>();
Queue<Integer> q2 = new LinkedList<Integer>();
public int pop() {
if (q1.peek() == null) {
System.out.println("The stack is empty, nothing to return");
int i = 0;
return i;
} else {
int pop = q1.remove();
return pop;
}
}
public void push(int data) {
if (q1.peek() == null) {
q1.add(data);
} else {
for (int i = q1.size(); i > 0; i--) {
q2.add(q1.remove());
}
q1.add(data);
for (int j = q2.size(); j > 0; j--) {
q1.add(q2.remove());
}
}
}
public static void main(String[] args) {
StackImplUsingQueues s1 = new StackImplUsingQueues();
// Stack s1 = new Stack();
s1.push(1);
s1.push(2);
s1.push(3);
s1.push(4);
s1.push(5);
s1.push(6);
s1.push(7);
s1.push(8);
s1.push(9);
s1.push(10);
// s1.push(6);
System.out.println("1st = " + s1.pop());
System.out.println("2nd = " + s1.pop());
System.out.println("3rd = " + s1.pop());
System.out.println("4th = " + s1.pop());
System.out.println("5th = " + s1.pop());
System.out.println("6th = " + s1.pop());
System.out.println("7th = " + s1.pop());
System.out.println("8th = " + s1.pop());
System.out.println("9th = " + s1.pop());
System.out.println("10th= " + s1.pop());
}
}
queue<int> q1, q2;
int i = 0;
void push(int v) {
if( q1.empty() && q2.empty() ) {
q1.push(v);
i = 0;
}
else {
if( i == 0 ) {
while( !q1.empty() ) q2.push(q1.pop());
q1.push(v);
i = 1-i;
}
else {
while( !q2.empty() ) q1.push(q2.pop());
q2.push(v);
i = 1-i;
}
}
}
int pop() {
if( q1.empty() && q2.empty() ) return -1;
if( i == 1 ) {
if( !q1.empty() )
return q1.pop();
else if( !q2.empty() )
return q2.pop();
}
else {
if( !q2.empty() )
return q2.pop();
else if( !q1.empty() )
return q1.pop();
}
}
Here's my solution..
Concept_Behind::
push(struct Stack* S,int data)
::This function enqueue first element in Q1 and rest in Q2
pop(struct Stack* S)
::if Q2 is not empty the transfers all elem's into Q1 and return the last elem in Q2
else(which means Q2 is empty ) transfers all elem's into Q2 and returns the last elem in Q1
Efficiency_Behind::
push(struct Stack*S,int data)
::O(1)//since single enqueue per data
pop(struct Stack* S)
::O(n)//since tranfers worst n-1 data per pop.
#include<stdio.h>
#include<stdlib.h>
struct Queue{
int front;
int rear;
int *arr;
int size;
};
struct Stack {
struct Queue *Q1;
struct Queue *Q2;
};
struct Queue* Qconstructor(int capacity)
{
struct Queue *Q=malloc(sizeof(struct Queue));
Q->front=Q->rear=-1;
Q->size=capacity;
Q->arr=malloc(Q->size*sizeof(int));
return Q;
}
int isEmptyQueue(struct Queue *Q)
{
return (Q->front==-1);
}
int isFullQueue(struct Queue *Q)
{
return ((Q->rear+1) % Q->size ==Q->front);
}
void enqueue(struct Queue *Q,int data)
{
if(isFullQueue(Q))
{
printf("Queue overflow\n");
return;}
Q->rear=Q->rear+1 % Q->size;
Q->arr[Q->rear]=data;
if(Q->front==-1)
Q->front=Q->rear;
}
int dequeue(struct Queue *Q)
{
if(isEmptyQueue(Q)){
printf("Queue underflow\n");
return;
}
int data=Q->arr[Q->front];
if(Q->front==Q->rear)
Q->front=-1;
else
Q->front=Q->front+1 % Q->size;
return data;
}
///////////////////////*************main algo****************////////////////////////
struct Stack* Sconstructor(int capacity)
{
struct Stack *S=malloc(sizeof(struct Stack));
S->Q1=Qconstructor(capacity);
S->Q2=Qconstructor(capacity);
return S;
}
void push(struct Stack *S,int data)
{
if(isEmptyQueue(S->Q1))
enqueue(S->Q1,data);
else
enqueue(S->Q2,data);
}
int pop(struct Stack *S)
{
int i,tmp;
if(!isEmptyQueue(S->Q2)){
for(i=S->Q2->front;i<=S->Q2->rear;i++){
tmp=dequeue(S->Q2);
if(isEmptyQueue(S->Q2))
return tmp;
else
enqueue(S->Q1,tmp);
}
}
else{
for(i=S->Q1->front;i<=S->Q1->rear;i++){
tmp=dequeue(S->Q1);
if(isEmptyQueue(S->Q1))
return tmp;
else
enqueue(S->Q2,tmp);
}
}
}
////////////////*************end of main algo my algo************
///////////////*************push() O(1);;;;pop() O(n);;;;*******/////
main()
{
int size;
printf("Enter the number of elements in the Stack(made of 2 queue's)::\n");
scanf("%d",&size);
struct Stack *S=Sconstructor(size);
push(S,1);
push(S,2);
push(S,3);
push(S,4);
printf("%d\n",pop(S));
push(S,5);
printf("%d\n",pop(S));
printf("%d\n",pop(S));
printf("%d\n",pop(S));
printf("%d\n",pop(S));
}
Q1 = [10, 15, 20, 25, 30]
Q2 = []
exp:
{
dequeue n-1 element from Q1 and enqueue into Q2: Q2 == [10, 15, 20, 25]
now Q1 dequeue gives "30" that inserted last and working as stack
}
swap Q1 and Q2 then GOTO exp
Efficient solution in C#
public class MyStack {
private Queue<int> q1 = new Queue<int>();
private Queue<int> q2 = new Queue<int>();
private int count = 0;
/**
* Initialize your data structure here.
*/
public MyStack() {
}
/**
* Push element x onto stack.
*/
public void Push(int x) {
count++;
q1.Enqueue(x);
while (q2.Count > 0) {
q1.Enqueue(q2.Peek());
q2.Dequeue();
}
var temp = q1;
q1 = q2;
q2 = temp;
}
/**
* Removes the element on top of the stack and returns that element.
*/
public int Pop() {
count--;
return q2.Dequeue();
}
/**
* Get the top element.
*/
public int Top() {
return q2.Peek();
}
/**
* Returns whether the stack is empty.
*/
public bool Empty() {
if (count > 0) return false;
return true;
}
}
#include "stdio.h"
#include "stdlib.h"
typedef struct {
int *q;
int size;
int front;
int rear;
} Queue;
typedef struct {
Queue *q1;
Queue *q2;
} Stack;
int queueIsEmpty(Queue *q) {
if (q->front == -1 && q->rear == -1) {
printf("\nQUEUE is EMPTY\n");
return 1;
}
return 0;
}
int queueIsFull(Queue *q) {
if (q->rear == q->size-1) {
return 1;
}
return 0;
}
int queueTop(Queue *q) {
if (queueIsEmpty(q)) {
return -1;
}
return q->q[q->front];
}
int queuePop(Queue *q) {
if (queueIsEmpty(q)) {
return -1;
}
int item = q->q[q->front];
if (q->front == q->rear) {
q->front = q->rear = -1;
}
else {
q->front++;
}
return item;
}
void queuePush(Queue *q, int val) {
if (queueIsFull(q)) {
printf("\nQUEUE is FULL\n");
return;
}
if (queueIsEmpty(q)) {
q->front++;
q->rear++;
} else {
q->rear++;
}
q->q[q->rear] = val;
}
Queue *queueCreate(int maxSize) {
Queue *q = (Queue*)malloc(sizeof(Queue));
q->front = q->rear = -1;
q->size = maxSize;
q->q = (int*)malloc(sizeof(int)*maxSize);
return q;
}
/* Create a stack */
void stackCreate(Stack *stack, int maxSize) {
Stack **s = (Stack**) stack;
*s = (Stack*)malloc(sizeof(Stack));
(*s)->q1 = queueCreate(maxSize);
(*s)->q2 = queueCreate(maxSize);
}
/* Push element x onto stack */
void stackPush(Stack *stack, int element) {
Stack **s = (Stack**) stack;
queuePush((*s)->q2, element);
while (!queueIsEmpty((*s)->q1)) {
int item = queuePop((*s)->q1);
queuePush((*s)->q2, item);
}
Queue *tmp = (*s)->q1;
(*s)->q1 = (*s)->q2;
(*s)->q2 = tmp;
}
/* Removes the element on top of the stack */
void stackPop(Stack *stack) {
Stack **s = (Stack**) stack;
queuePop((*s)->q1);
}
/* Get the top element */
int stackTop(Stack *stack) {
Stack **s = (Stack**) stack;
if (!queueIsEmpty((*s)->q1)) {
return queueTop((*s)->q1);
}
return -1;
}
/* Return whether the stack is empty */
bool stackEmpty(Stack *stack) {
Stack **s = (Stack**) stack;
if (queueIsEmpty((*s)->q1)) {
return true;
}
return false;
}
/* Destroy the stack */
void stackDestroy(Stack *stack) {
Stack **s = (Stack**) stack;
free((*s)->q1);
free((*s)->q2);
free((*s));
}
int main()
{
Stack *s = NULL;
stackCreate((Stack*)&s, 10);
stackPush((Stack*)&s, 44);
//stackPop((Stack*)&s);
printf("\n%d", stackTop((Stack*)&s));
stackDestroy((Stack*)&s);
return 0;
}
Here is some simple pseudo code, push is O(n), pop / peek is O(1):
Qpush = Qinstance()
Qpop = Qinstance()
def stack.push(item):
Qpush.add(item)
while Qpop.peek() != null: //transfer Qpop into Qpush
Qpush.add(Qpop.remove())
swap = Qpush
Qpush = Qpop
Qpop = swap
def stack.pop():
return Qpop.remove()
def stack.peek():
return Qpop.peek()
import java.util.LinkedList;
import java.util.Queue;
class MyStack {
Queue<Integer> queue1 = new LinkedList<Integer>();
Queue<Integer> queue2 = new LinkedList<Integer>();
// Push element x onto stack.
public void push(int x) {
if(isEmpty()){
queue1.offer(x);
}else{
if(queue1.size()>0){
queue2.offer(x);
int size = queue1.size();
while(size>0){
queue2.offer(queue1.poll());
size--;
}
}else if(queue2.size()>0){
queue1.offer(x);
int size = queue2.size();
while(size>0){
queue1.offer(queue2.poll());
size--;
}
}
}
}
// Removes the element on top of the stack.
public void pop() {
if(queue1.size()>0){
queue1.poll();
}else if(queue2.size()>0){
queue2.poll();
}
}
// Get the top element. You can make it more perfect just example
public int top() {
if(queue1.size()>0){
return queue1.peek();
}else if(queue2.size()>0){
return queue2.peek();
}
return 0;
}
// Return whether the stack is empty.
public boolean isEmpty() {
return queue1.isEmpty() && queue2.isEmpty();
}
}
Can we just use one queue to implement a stack? I can use two queues, but considering single queue would be more efficient. Here is the code:
public void Push(T val)
{
queLower.Enqueue(val);
}
public T Pop()
{
if (queLower.Count == 0 )
{
Console.Write("Stack is empty!");
return default(T);
}
if (queLower.Count > 0)
{
for (int i = 0; i < queLower.Count - 1;i++ )
{
queLower.Enqueue(queLower.Dequeue ());
}
}
return queLower.Dequeue();
}
template <typename T>
class stackfmtoq {
queue<T> q1;
queue<T> q2;
public:
void push(T data) {
while (!q2.empty()) {
q1.push(q2.front());
q2.pop();
}
q2.push(data);
while (!q1.empty()) {
q2.push(q1.front());
q1.pop();
}
}
T pop() {
if (q2.empty()) {
cout << "Stack is Empty\n";
return NULL;
}
T ret = q2.front();
q2.pop();
return ret;
}
T top() {
if (q2.empty()) return NULL;
return q2.front();
}
};
Here is my solution that works for O(1) in average case. There are two queues: in
and out
. See pseudocode bellow:
PUSH(X) = in.enqueue(X)
POP: X =
if (out.isEmpty and !in.isEmpty)
DUMP(in, out)
return out.dequeue
DUMP(A, B) =
if (!A.isEmpty)
x = A.dequeue()
DUMP(A, B)
B.enqueue(x)
Python Code Using Only One Queue
class Queue(object):
def __init__(self):
self.items=[]
def enqueue(self,item):
self.items.insert(0,item)
def dequeue(self):
if(not self.isEmpty()):
return self.items.pop()
def isEmpty(self):
return self.items==[]
def size(self):
return len(self.items)
class stack(object):
def __init__(self):
self.q1= Queue()
def push(self, item):
self.q1.enqueue(item)
def pop(self):
c=self.q1.size()
while(c>1):
self.q1.enqueue(self.q1.dequeue())
c-=1
return self.q1.dequeue()
def size(self):
return self.q1.size()
def isempty(self):
if self.size > 0:
return True
else:
return False
#include <bits/stdc++.h>
using namespace std;
queue<int>Q;
stack<int>Stk;
void PRINT(stack<int>ss , queue<int>qq) {
while( ss.size() ) {
cout << ss.top() << " " ;
ss.pop();
}
puts("");
while( qq.size() ) {
cout << qq.front() << " " ;
qq.pop();
}
puts("\n----------------------------------");
}
void POP() {
queue<int>Tmp ;
while( Q.size() > 1 ) {
Tmp.push( Q.front() );
Q.pop();
}
cout << Q.front() << " " << Stk.top() << endl;
Q.pop() , Stk.pop() ;
Q = Tmp ;
}
void PUSH(int x ) {
Q.push(x);
Stk.push(x);
}
int main() {
while( true ) {
string typ ;
cin >> typ ;
if( typ == "push" ) {
int x ;
cin >> x;
PUSH(x);
} else POP();
PRINT(Stk,Q);
}
}
Below is a very simple Java solution which supports the push operation efficient.
Algorithm -
Declare two Queues q1 and q2.
Push operation - Enqueue element to queue q1.
Pop operation - Ensure that queue q2 is not empty. If it is empty, then dequeue all the elements from q1 except the last element and enqueue it to q2 one by one. Dequeue the last element from q1 and store it as the popped element. Swap the queues q1 and q2. Return the stored popped element.
Peek operation - Ensure that queue q2 is not empty. If it is empty, then dequeue all the elements from q1 except the last element and enqueue it to q2 one by one. Dequeue the last element from q1 and store it as the peeked element. Enqueue it back to queue q2 and swap the queues q1 and q2. Return the stored peeked element.
Below is the code for above algorithm -
class MyStack {
java.util.Queue<Integer> q1;
java.util.Queue<Integer> q2;
int SIZE = 0;
/** Initialize your data structure here. */
public MyStack() {
q1 = new LinkedList<Integer>();
q2 = new LinkedList<Integer>();
}
/** Push element x onto stack. */
public void push(int x) {
q1.add(x);
SIZE ++;
}
/** Removes the element on top of the stack and returns that element. */
public int pop() {
ensureQ2IsNotEmpty();
int poppedEle = q1.remove();
SIZE--;
swapQueues();
return poppedEle;
}
/** Get the top element. */
public int top() {
ensureQ2IsNotEmpty();
int peekedEle = q1.remove();
q2.add(peekedEle);
swapQueues();
return peekedEle;
}
/** Returns whether the stack is empty. */
public boolean empty() {
return q1.isEmpty() && q2.isEmpty();
}
/** move all elements from q1 to q2 except last element */
public void ensureQ2IsNotEmpty() {
for(int i=0; i<SIZE-1; i++) {
q2.add(q1.remove());
}
}
/** Swap queues q1 and q2 */
public void swapQueues() {
Queue<Integer> temp = q1;
q1 = q2;
q2 = temp;
}
}
import java.util.Deque;
import java.util.LinkedList;
import java.util.Queue;
public class ImplementationOfStackUsingTwoQueue {
private static Deque<Integer> inboxQueue = new LinkedList<>();
private static Queue<Integer> outboxQueue = new LinkedList<>();
public void pushInStack(Integer val){
inboxQueue.add(val);
}
public void popFromStack(){
if(outboxQueue.isEmpty()){
while(!inboxQueue.isEmpty()){
outboxQueue.add(inboxQueue.pollLast());
}
}
}
public static void main(String[] args) {
ImplementationOfStackUsingTwoQueue obj = new ImplementationOfStackUsingTwoQueue();
obj.pushInStack(1);
obj.pushInStack(2);
obj.pushInStack(3);
obj.pushInStack(4);
obj.pushInStack(5);
System.out.println("After pushing the values in Queue" + inboxQueue);
obj.popFromStack();
System.out.println("After popping the values from Queue" + outboxQueue);
}
}
Here's my answer - where the 'pop' is inefficient. Seems that all algorithms that come immediately to mind have N complexity, where N is the size of the list: whether you choose to do work on the 'pop' or do work on the 'push'
The algorithm where lists are traded back and fourth may be better, as a size calculation is not needed, although you still need to loop and compare with empty.
you can prove this algorithm cannot be written faster than N by noting that the information about the last element in a queue is only available through knowing the size of the queue, and that you must destroy data to get to that element, hence the 2nd queue.
The only way to make this faster is to not to use queues in the first place.
from data_structures import queue
class stack(object):
def __init__(self):
q1= queue
q2= queue #only contains one item at most. a temp var. (bad?)
def push(self, item):
q1.enque(item) #just stick it in the first queue.
#Pop is inefficient
def pop(self):
#'spin' the queues until q1 is ready to pop the right value.
for N 0 to self.size-1
q2.enqueue(q1.dequeue)
q1.enqueue(q2.dequeue)
return q1.dequeue()
@property
def size(self):
return q1.size + q2.size
@property
def isempty(self):
if self.size > 0:
return True
else
return False
We can do this with one queue:
push:
n
is the number of elements in the queue, then remove and insert element n-1
times.pop:
.
push 1
front
+----+----+----+----+----+----+
| 1 | | | | | | insert 1
+----+----+----+----+----+----+
push2
front
+----+----+----+----+----+----+
| 1 | 2 | | | | | insert 2
+----+----+----+----+----+----+
front
+----+----+----+----+----+----+
| | 2 | 1 | | | | remove and insert 1
+----+----+----+----+----+----+
insert 3
front
+----+----+----+----+----+----+
| | 2 | 1 | 3 | | | insert 3
+----+----+----+----+----+----+
front
+----+----+----+----+----+----+
| | | 1 | 3 | 2 | | remove and insert 2
+----+----+----+----+----+----+
front
+----+----+----+----+----+----+
| | | | 3 | 2 | 1 | remove and insert 1
+----+----+----+----+----+----+
Sample implementation:
int stack_pop (queue_data *q)
{
return queue_remove (q);
}
void stack_push (queue_data *q, int val)
{
int old_count = queue_get_element_count (q), i;
queue_insert (q, val);
for (i=0; i<old_count; i++)
{
queue_insert (q, queue_remove (q));
}
}
Source: Stackoverflow.com