Rearrange to the code to insert each element into 'left' if it is smaller than the largest element of left. You can find the median element of a sequence by using two priority queues, left and right, where right is a min-heap. Insert each element into left if it is smaller than the largest element of left, or into right otherwise. Then rebalance the priority queues so that their sizes differ by at most 1. Rearrange the following lines of code to implement this algorithm. Instead of a min-heap, use a priority_queue that holds negated values. **Only add lines provided from "Unused" not all lines will be used**

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Rearrange to the code to insert each element into 'left' if it is smaller than the largest element of left.
You can find the median element of a sequence by using two priority queues, left and right, where right is a min-heap. Insert each element into left if it is smaller than the largest element of left, or into right otherwise. Then rebalance the priority queues so that their sizes differ by at most 1.

Rearrange the following lines of code to implement this algorithm. Instead of a min-heap, use a priority_queue<int> that holds negated values. **Only add lines provided from "Unused" not all lines will be used**


Unused
}
if (left.size() < right.size ())
{
if (a[i] <= left.top())
{
right .push(-a[i]);
else if (left.size() > right.size() + 1)
{
}
left.push(a[0]);
for (int i 1; i<n; i++)
{
left.push(a[i]);
else
{
right.push(-left.top()); left.pop();
}
}
return median;
left .push(-right.top()); right.pop();
int median = left. top();
}
Transcribed Image Text:Unused } if (left.size() < right.size ()) { if (a[i] <= left.top()) { right .push(-a[i]); else if (left.size() > right.size() + 1) { } left.push(a[0]); for (int i 1; i<n; i++) { left.push(a[i]); else { right.push(-left.top()); left.pop(); } } return median; left .push(-right.top()); right.pop(); int median = left. top(); }
main.cpp
#include <iostream>
#include <vector>
#include <queue>
#include <bits/stdc++.h>
using namespace std;
int get median (vector<int> a, int n)
{
priority_queue<int> left;
priority_queue<int> right;
}
int main()
{
}
vector<int> a;
int i;
cin >> i;
while (i)
{
a.push_back(i);
cin >> i;
}
int median = get_median (a, a.size());
sort(a. begin (), a.end());
cout << "Sorted: (";
for (int x = 0; x < a.size(); x++)
{
}
cout << a[x];
if (x != a.size() - 1) cout <<
Load default template...
return 0;
3
cout<<")" << endl;
cout << "Median: << median << endl;
Transcribed Image Text:main.cpp #include <iostream> #include <vector> #include <queue> #include <bits/stdc++.h> using namespace std; int get median (vector<int> a, int n) { priority_queue<int> left; priority_queue<int> right; } int main() { } vector<int> a; int i; cin >> i; while (i) { a.push_back(i); cin >> i; } int median = get_median (a, a.size()); sort(a. begin (), a.end()); cout << "Sorted: ("; for (int x = 0; x < a.size(); x++) { } cout << a[x]; if (x != a.size() - 1) cout << Load default template... return 0; 3 cout<<")" << endl; cout << "Median: << median << endl;
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