Minimum Operations


Problem Statement :


In this challenge, the task is to debug the existing code to successfully execute all provided test files.

There are n boxes in front of you. For each i, box i contains r[i] red balls, g[i]  green balls, and b[i] blue balls.

You want to separate the balls by their color. In each operation, you can pick a single ball from some box and put it into another box. The balls are separated if no box contains balls of more than one color.

Debug the given function min_operations and compute the minimal number of operations required to separate the balls.

Note: In this problem you can modify at most six lines of code and you cannot add any new lines.

To restore the original code, click on the icon to the right of the language selector.

Input Format

The first line contains a single integer n. The next n lines i contain three space-separated integers, r[i], g[i], and b[i], respectively.


Constraints

1  <=  n  <=  100
0  <=  r[i], g[i], b[i]  <= 105


Output Format

Print the minimal number of operations required to separate the balls. If this is impossible, return -1.


Solution :



title-img 


                            Solution in C :

In   C++  :






#include <cstdio> 
#include <cstdlib> 
#include <cstring> 
#include <algorithm> 
#include <vector> 
#include <cmath> 
#include <iostream> 
#include <map> 
using namespace std; 

int dp[110][1<<3];

int min_operations(vector <int> red, vector <int> green, vector <int> blue) {

    int n = (int)red.size(), i, j;
    for (i = 0; i <= n; i++) {
        for (j = 0; j <= 7; j++) {
            dp[i][j] = 1<<30;
        }
    }

    dp[0][0] = 0;
    for (i = 0; i < n; i++){
        for (j = 0; j <= 7; j++){
            dp[i + 1][j | 1] = min(dp[i + 1][j | 1], dp[i][j] + green[i] + blue[i]);
            dp[i + 1][j | 2] = min(dp[i + 1][j | 2], dp[i][j] + red[i] + blue[i]);
            dp[i + 1][j | 4] = min(dp[i + 1][j | 4], dp[i][j] + red[i] + green[i]);
        }
    }
    j = 0;
    for (i = 0; i < n; i++){
        if (red[i]) j |= 1;
        if (green[i]) j |= 2;
        if (blue[i]) j |= 4;
    }

    if (dp[n][j] >= (1<<30))
        dp[n][j] = -1;

    return dp[n][j];
}

int main() {

    int n, r, g, b;
    cin >> n;
    vector<int> red, blue, green;

    for(int i = 0; i < n; i++){

        cin >> r >> g >> b;
        red.push_back(r);
        green.push_back(g);
        blue.push_back(b);
    }

    cout << min_operations(red, green, blue) << "\n";
    return 0;
}








In  Java :






import java.util.*;

class MinimumOperations {
    private static final Scanner scan = new Scanner(System.in);
    int n, r ,g, b;
    int[][] dp = new int[110][1<<3];

    Vector<Integer> red = new Vector();
    Vector<Integer> green = new Vector();
    Vector<Integer> blue = new Vector();

    public void get() {
         n = scan.nextInt();

        for (int i = 0; i < n; i++) {
            r = scan.nextInt();
            g = scan.nextInt();
            b = scan.nextInt();
            red.add(r);
            green.add(g);
            blue.add(b);
        }
    }

    public void minOperations() {
        int i, j;
        for (i = 0; i <= n; i++) {
            for (j = 0; j <= 7; j++) {
                dp[i][j] = (1<<30);
            }
        }
        dp[0][0] = 0;
        for (i = 0; i < n; i++){
            for (j = 0; j <= 7; j++){
                dp[i + 1][j | 1] = Math.min(dp[i + 1][j | 1], dp[i][j] + green.get(i) + blue.get(i));
                dp[i + 1][j | 2] = Math.min(dp[i + 1][j | 2], dp[i][j] + red.get(i) + blue.get(i));
                dp[i + 1][j | 4] = Math.min(dp[i + 1][j | 4], dp[i][j] + red.get(i) + green.get(i));
            }
        }
        j = 0;
        for (i = 0; i < n; i++){
            if (green.get(i) != 0) j |= 1;
            if (red.get(i) != 0) j |= 2;
            if (blue.get(i) != 0) j |= 4;
        }
        if (dp[n][j] >= (1<<30)) dp[n][j] = -1;
            System.out.println(dp[n][j]);
    }
}
class Solution {
    public static void main(String[] args) {
        MinimumOperations obj = new MinimumOperations();
        obj.get();
        obj.minOperations();
    }
}









In   Python3 :





int n = (int)red.size(), i, j;
    for (i = 0; i <= n; i++) {
        for (j = 0; j < 8; j++) {
            dp[i][j] = 1<<30;
        }
    }

    dp[0][0] = 0;
    for (i = 0; i < n; i++){
        for (j = 0; j < 8; j++){
            dp[i + 1][j | 1] = min(dp[i + 1][j | 1], dp[i][j] + green[i] + blue[i]);
            dp[i + 1][j | 2] = min(dp[i + 1][j | 2], dp[i][j] + red[i] + blue[i]);
            dp[i + 1][j | 4] = min(dp[i + 1][j | 4], dp[i][j] + red[i] + green[i]);
        }
    }
    j = 0;
    for (i = 0; i < n; i++){
        if (green[i]) j |= 2;
        if (red[i]) j |= 1;
        if (blue[i]) j |= 4;
    }








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