A priority Queue is a data structure where each element has a "priority" associated with it.
In a priority queue, an element with high priority is served before an element with low priority.
[problem]
Store the given N (2 <= N <= 100) numbers into a priority queue, then print from the highest to the
lowest priority in order (assuming that there is no error in the input).
[Input]
The first input line contains the number of test cases, T.
The next line contains the number of data input.
Then, the integer data will be listed.
Lower number has a higher priority.
[Output]
For each given test case, print the numbers in priority order.
INPUT OUTPUT
============= ===================
2 //number of Test cases #1 1 8 10 13 17 38 49 55 56 92
10 //number of Input #2 1 4 5 7 13 14 21 22 22 35 50 99 100
10 49 38 17 56 92 8 1 13 55 //Input Data
13
4 22 50 13 5 1 22 35 21 7 99 100 14
C++ Source Code:
#include<iostream>
#include<stdio.h>
using namespace std;
#define max_data 100
int myHeap[max_data];
int heapSize = 0;
void heapInit(void);
int heapIsEmpty(void);
int heapIsFull(void);
int heapPush(int value);
int heapPop(int *value);
int main()
{
int T, tc,N;
freopen("CreatePriyorityQuee.txt","r",stdin);
cin >> T;
for (tc = 1; tc <= T; tc++)
{
cin >> N;
heapInit();
for (int i = 0; i < N; i++)
{
int value;
cin >> value;
heapPush(value);
}
cout << "#" << tc << " ";
for (int i = 0; i < N; i++)
{
int value;
if (heapPop(&value))
{
cout << value << " ";
}
}
cout << endl;
}
return 0;
}
void heapInit(void)
{
heapSize = 0;
}
int heapIsEmpty(void)
{
return (heapSize <= 0);
}
int heapIsFull(void)
{
return (heapSize+1>max_data);
}
int heapPush(int value)
{
if (heapIsFull())
{
cout << "Heap overflow" << endl;
return 0;
}
myHeap[heapSize] = value;
int currentHeapSize = heapSize;
heapSize++;
while (currentHeapSize > 0 && myHeap[currentHeapSize] < myHeap[(currentHeapSize - 1) / 2])
{
int temp = myHeap[(currentHeapSize - 1) / 2];
myHeap[(currentHeapSize - 1) / 2] = myHeap[currentHeapSize];
myHeap[currentHeapSize] = temp;
currentHeapSize = (currentHeapSize - 1) / 2;
}
return 1;
}
int heapPop(int *value)
{
if (heapIsEmpty())
{
cout << "Heap is empty" << endl;
return 0;
}
*value = myHeap[0];
heapSize--;
myHeap[0] = myHeap[heapSize];
int currentHeapSize = 0;
while ((currentHeapSize * 2 + 1) < heapSize)
{
int child;
if ((currentHeapSize * 2 + 2) == heapSize)
{
child = (currentHeapSize * 2) + 1;
}
else
{
child = myHeap[(currentHeapSize * 2) + 1] < myHeap[(currentHeapSize * 2) + 2] ? (currentHeapSize * 2) + 1 : (currentHeapSize * 2) + 2;
}
if (myHeap[currentHeapSize] < myHeap[child]) break;
int temp = myHeap[currentHeapSize];
myHeap[currentHeapSize] = myHeap[child];
myHeap[child] = temp;
currentHeapSize = child;
}
return 1;
}
Java Source Code :
package com.datastructure;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.util.Scanner;
public class PriotityQueue {
static private final String INPUT = System.getProperty("user.dir") + "\\src\\data\\priyorityQueue.txt";
static Scanner sc;
static final int MAX_SIZE = 100;
static int heap[] = new int[MAX_SIZE];
static int heapSize = 0;
public static void main(String[] args) {
FileInputStream instream = null;
try {
instream = new FileInputStream(INPUT);
System.setIn(instream);
} catch (FileNotFoundException e) {
e.printStackTrace();
}
sc = new Scanner(System.in);
int T = sc.nextInt();
for (int test_case = 1; test_case <= T; test_case++)
{
int N = sc.nextInt();
heapInit();
for (int i = 0; i < N; i++)
{
int value = sc.nextInt();
heapPush(value);
}
System.out.print("#" + test_case + " ");
for (int i = 0; i < N; i++)
{
System.out.print(heapPop() + " ");
}
System.out.println();
}
sc.close();
}
static void heapInit()
{
heapSize = 0;
}
static void heapPush(int value)
{
if (heapSize + 1 > MAX_SIZE)
{
return;
}
heap[heapSize] = value;
int current = heapSize;
while (current > 0 && heap[current] < heap[(current - 1) / 2])
{
int temp = heap[(current - 1) / 2];
heap[(current - 1) / 2] = heap[current];
heap[current] = temp;
current = (current - 1) / 2;
}
heapSize = heapSize + 1;
}
static int heapPop()
{
if (heapSize <= 0)
{
return -1;
}
int value = heap[0];
heapSize = heapSize - 1;
heap[0] = heap[heapSize];
int current = 0;
while (current < heapSize && current * 2 + 1 < heapSize)
{
int child;
if (current * 2 + 2 >= heapSize)
{
child = current * 2 + 1;
}
else
{
child = heap[current * 2 + 1] < heap[current * 2 + 2] ? current * 2 + 1 : current * 2 + 2;
}
if (heap[current] < heap[child])
{
break;
}
int temp = heap[current];
heap[current] = heap[child];
heap[child] = temp;
current = child;
}
return value;
}
static void heapPrint(int[] heap, int heap_size)
{
for (int i = 0; i < heap_size; i++)
{
System.out.print(heap[i] + " ");
}
System.out.println();
}
}
No comments:
Post a Comment
Thanks for your comments