long long dfs(int node,vector<vector<int>> &graph,long long &cnt,int k,vector<int> &vis){

  long long val=1;
  vis[node]=1;
  for(auto x : graph[node]){
      if(vis[x]==0)
      val+=dfs(x,graph,cnt,k,vis);
  }


  if(node!=1){
      cnt+=((val+k-1)/k);
  }


  return val;


}
long getMinOperations(int k, int n, vector<int> f, vector<int> t) {

   vector<vector<int>> graph(n+1);
   for(int i=0;i<f.size();i++){
       graph[f[i]].push_back(t[i]);
       graph[t[i]].push_back(f[i]);
   }
   long long cnt=0;
   vector<int> vis(n+1,0);
   dfs(1,graph,cnt,k,vis);
   return cnt;
}

DE Shaw✅

Company Name: Flipkart

🛄 Job Title: Application Engineer
✍🏻 YOE: 2024 grads only

➡️ Apply: https://docs.google.com/forms/d/e/1FAIpQLScDFW3dArxAtFzohFPsAPNiexs-DFvw8BerpJXwZtj1BVYkHw/viewform

Please do share in your college grps and in case you are applying please react on this post:) 😇❤️

#include <iostream>
#include <vector>

using namespace std;

int main() {
    int N;
    cin >> N;

    vector<long long> gardens(N);
    for (int i = 0; i < N; ++i) {
        cin >> gardens[i];
    }

    long long total_collected = 0;
    for (int i = 0; i < N; ++i) {
        if (gardens[i] > 10) {
            total_collected += gardens[i] - 10;
        }
    }

    cout << total_collected << endl;

    return 0;
}

Garden ✅

int maxBalancedShipments(vector<int>&a) {
   
    int n=a.size();
    int ans=0;
    int prev=-1;
    bool f=0;
    for(int i=n-1;i>=0;i--)
    {
        if(prev==-1) { prev=a[i]; continue;}
        if(a[i]>prev) { f=1; ans++; prev=-1;}
        else if(f) prev=a[i];
    }
    return ans;
}

Amazon ✅

#include <iostream>
#include <vector>

using namespace std;

long makePowerNondecreasing(vector<int>& power) {
    int n = power.size();
    long adjustments = 0;

    for (int i = 1; i < n; ++i) {
        if (power[i] < power[i - 1]) {
            adjustments += power[i - 1] - power[i];
        }
    }

    return adjustments;
}

Amazon ✅

Rocket Learning is #hiring for Data Analytics Intern (paid). Skills: SQL, Excel, etc. Send your resume at eklavya.s@rocketlearning.org

Hello Developers,
We are a startup from Kolkata, we are currently building a very innovative and exciting prototype in the gaming sector. Currently we need a developer with skills and knowledge in machine and deep learning and Artificial intelligence, like llm and nlp. The project is a paid project, and the developer MUST BE FROM KOLKATA, as we will need to guide and interact the person on site about the project.

The key roles will be -
. Understanding and building the required code and project.
. Being punctual and reporting any problems and following instructions.

If interested for this exciting opportunity please dm and send resume or you work to
+91 9330860396. You can also have a chance to work with us full time in future.

The project is contractual work and the pavkage is around ₹15k-20k

Einstein Fellowship 2025 in Germany (Fully Funded)

- Stipend worth €10,000. (This stipend is for living expenses)
- You will receive Travel Reimbursement. (Return Air Tickets)
- You will be given accommodation at the garden cottage, Einstein Summerhouse.
- The Fellowship will last for five to six months. It will start in the summer. - The exact dates will be decided later.

Deadline: 1st June
https://www.einsteinforum.de/about/fellowship/

Pyrack is hiring React Developer

Full time opportunity

For 2023 grads

https://www.linkedin.com/posts/zoya-khan-a8286a249_reactdeveloper-jobopening-pyrack-activity-7193193590775263233-PsaD

Syvora hiring Devops Engineers

For 2024, 2023, 2022 grads

Full Time opportunity

https://www.linkedin.com/posts/rakhi-jain-8a46b41b5_hi-linkedln-people-syvora-is-hiring-for-devops-activity-7193196514175791104-xusq?utm_source=share&utm_medium=member_android

Job Title: Backend Engineer
Company: Leegality
Location: Work From Home
Grads: 2022, 2023
Job Link: https://www.instahyre.com/job-315010-backend-engineer-at-leegality-work-from-home/

Software Engineer (Backend) - Full-time - Remote at Peakflo

Batch: 2023
Expected CTC : 18-20 LPA

https://app.dover.io/apply/peakflo/31a45429-59c0-450b-8562-6f8e0753d7fc?rs=42706078