// #include <torch/torch.h>

// int main()
// {
//     torch::Tensor t = torch::rand({ 5, 5 });

//     // Print original tensor
//     std::cout << t << std::endl;

//     // New value
//     torch::Tensor new_val = torch::tensor(10.0f);

//     // Indices for the cell you want to update
//     auto index_i = torch::tensor({ 2 });
//     auto index_j = torch::tensor({ 3 });

//     // Update cell
//     t.index_put_({ index_i, index_j }, new_val);

//     // Print updated tensor
//     std::cout << t << std::endl;
// }
#include <torch/torch.h>
#include <iostream>
#include <vector>
#include <string>
using namespace std;
int main()
{
    //int i = 3, j = 1, k = 2; // Indices for the cell you want to update
    // Print original tensor
    // torch::Tensor t = torch::tensor({ {1, 2, 3}, {4, 5, 6} }); // 3D tensor for this example
    auto variables = vector<string>{ "A", "B" };
    auto cardinalities = vector<int>{ 5, 4 };
    torch::Tensor values = torch::rand({ 5, 4 });
    auto candidate = "B";
    vector<string> newVariables;
    vector<int> newCardinalities;
    for (int i = 0; i < variables.size(); i++) {
        if (variables[i] != candidate) {
            newVariables.push_back(variables[i]);
            newCardinalities.push_back(cardinalities[i]);
        }
    }
    torch::Tensor newValues = values.sum(1);
    cout << "original values" << endl;
    cout << values << endl;
    cout << "newValues" << endl;
    cout << newValues << endl;
    cout << "newVariables" << endl;
    for (auto& variable : newVariables) {
        cout << variable << endl;
    }
    cout << "newCardinalities" << endl;
    for (auto& cardinality : newCardinalities) {
        cout << cardinality << endl;
    }
    // std::cout << t << std::endl;
    // std::cout << "sum(0)" << std::endl;
    // std::cout << t.sum(0) << std::endl;
    // std::cout << "sum(1)" << std::endl;
    // std::cout << t.sum(1) << std::endl;
    // std::cout << "Normalized" << std::endl;
    // std::cout << t / t.sum(0) << std::endl;

    // New value
    // torch::Tensor new_val = torch::tensor(10.0f);

    // // Indices for the cell you want to update
    // std::vector<torch::Tensor> indices;
    // indices.push_back(torch::tensor(i)); // Replace i with your index for the 1st dimension
    // indices.push_back(torch::tensor(j)); // Replace j with your index for the 2nd dimension
    // indices.push_back(torch::tensor(k)); // Replace k with your index for the 3rd dimension
    // //torch::ArrayRef<at::indexing::TensorIndex> indices_ref(indices);
    // // Update cell
    // //torch::Tensor result = torch::stack(indices);
    // //torch::List<c10::optional<torch::Tensor>> indices_list = { torch::tensor(i), torch::tensor(j), torch::tensor(k) };
    // torch::List<c10::optional<torch::Tensor>> indices_list;
    // indices_list.push_back(torch::tensor(i));
    // indices_list.push_back(torch::tensor(j));
    // indices_list.push_back(torch::tensor(k));
    // //t.index_put_({ torch::tensor(i), torch::tensor(j), torch::tensor(k) }, new_val);
    // t.index_put_(indices_list, new_val);

    // // Print updated tensor
    // std::cout << t << std::endl;
}