using System;
using System.Linq;
using System.Collections.Generic;
using Google.OrTools.LinearSolver;
using HeuristicLab.Common;
using HeuristicLab.Core;
using HeuristicLab.Data;
using HeuristicLab.ExactOptimization.LinearProgramming;
using HeuristicLab.Optimization;
using Variable = Google.OrTools.LinearSolver.Variable;

public class CompiledLinearProblemDefinition : CompiledProblemDefinition, ILinearProblemDefinition {
  private Variable x;
  private Variable y;

  public override void Initialize() {
    // Use vars.yourVariable to access variables in the variable store i.e. yourVariable
    // Add additional initialization code e.g. private variables that you need for evaluating
  }

  public void BuildModel(Solver solver) {
    // Use vars.yourVariable to access variables in the variable store i.e. yourVariable
    // How to define a model using Google OR-Tools: https://developers.google.com/optimization/introduction/cs
    // Example model taken from https://developers.google.com/optimization/mip/integer_opt
    // Define the decision variables
    x = solver.MakeIntVar(0, 3.5, "x");
    y = solver.MakeIntVar(0, double.PositiveInfinity, "y");
    // Define the constraints
    solver.Add(x + 7 * y <= 17.5);
    // Define the objective
    solver.Maximize(x + 10 * y);
  }

  public void Analyze(Solver solver, ResultCollection results) {
    // Use vars.yourVariable to access variables in the variable store i.e. yourVariable
    // Write or update results given the solution values of the decision variables
    results.AddOrUpdateResult("x", new DoubleValue(x.SolutionValue()));
    results.AddOrUpdateResult("y", new DoubleValue(y.SolutionValue()));
    // The decision variables can also be retrieved from the solver
    //results.AddOrUpdateResult("x", new DoubleValue(solver.LookupVariableOrNull("x").SolutionValue()));
    //results.AddOrUpdateResult("y", new DoubleValue(solver.LookupVariableOrNull("y").SolutionValue()));
  }

  // Implement further classes and methods
}