title: Identifying infeasibility constraint and relaxing/removing it in Python using Pulp?
body: <p>I am tried to solve a MILP problem using python pulp and The solution is infeasible. So, I want to find where infeasibility is coming and want to relax it or remove it to find feasible solution. it is difficult to check manually in the LP file bcz large number of constraints are present. So How I can handle this issue?</p>
  
  <p>I went through some articles they mentioned that check manually in the LP file but it is very difficult to do manually for a huge number of variables/constraints.</p>
  
  <p>It is giving just infeasibility</p>