#include <Eigen/Eigen>
#include <tug/Simulation.hpp>
#include <chrono>
#include <iostream>
#include <cmath>

using namespace Eigen;
using namespace tug;
using namespace std::chrono;

int main(int argc, char *argv[])
{
    // **** GRID ****
    int rows = 2000;
    int cols = 2000;
    Grid64 grid(rows, cols);

    MatrixXd concentrations(rows, cols);
    for (int i = 0; i < rows; ++i)
    {
        for (int j = 0; j < cols; ++j)
        {
            concentrations(i, j) = static_cast<double>(((i + 1) * (j + 1)) / 1e6);
        }
    }
    concentrations(1000, 1000) = 2000;
    grid.setConcentrations(concentrations);

    // Complex alpha patterns
    MatrixXd alphax = MatrixXd(rows, cols);
    MatrixXd alphay = MatrixXd(rows, cols);
    for (int i = 0; i < rows; ++i)
    {
        for (int j = 0; j < cols; ++j)
        {
            alphax(i, j) = std::sin((i + 1) / 100.0) * std::cos((j + 1) / 100.0) + 1;
            alphay(i, j) = std::cos((i + 1) / 100.0) * std::sin((j + 1) / 100.0) + 1;
        }
    }
    grid.setAlpha(alphax, alphay);

    // **** BOUNDARY ****
    Boundary bc = Boundary(grid);
    bc.setBoundarySideClosed(BC_SIDE_LEFT);
    bc.setBoundarySideClosed(BC_SIDE_RIGHT);
    bc.setBoundarySideClosed(BC_SIDE_TOP);
    bc.setBoundarySideConstant(BC_SIDE_BOTTOM, 0.75);

    // **** SIMULATION ****
    Simulation simulation = Simulation<double, tug::FTCS_APPROACH>(grid, bc);
    simulation.setTimestep(0.005);
    simulation.setIterations(500);
    simulation.setOutputCSV(CSV_OUTPUT_ON);
    simulation.setOutputConsole(CONSOLE_OUTPUT_OFF);

    // **** RUN SIMULATION ****
    auto start = high_resolution_clock::now();
    simulation.run();
    auto stop = high_resolution_clock::now();

    auto duration = duration_cast<nanoseconds>(stop - start);
    std::cout << duration.count() << std::endl;
}