#include <iostream>
#include <vector>
#include <cmath>
#include <complex>
#include <algorithm>
#include <stdexcept>
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <pybind11/numpy.h>
#include <limits> // For handling NaN and infinity
namespace py = pybind11;


py::array_t<double> process_chunk_func(
    const std::vector<py::array_t<double>>& chunks,
    int window_size,

) {
    if (chunks.size() < 4) {
        throw std::runtime_error("At least 4 chunks required");
    }

    py::buffer_info buf_c11 = chunks[0].request();
    py::buffer_info buf_c12r = chunks[1].request();
    py::buffer_info buf_c12i = chunks[2].request();
    py::buffer_info buf_c22 = chunks[3].request();

    int nrows = buf_c11.shape[1];
    int ncols = buf_c11.shape[0];

    const double* c11_T1 = static_cast<double*>(buf_c11.ptr);
    const double* c12r_T1 = static_cast<double*>(buf_c12r.ptr);
    const double* c12i_T1 = static_cast<double*>(buf_c12i.ptr);
    const double* c22_T1 = static_cast<double*>(buf_c22.ptr);

    auto fp22_out = py::array_t<double>({ncols, nrows});
    auto lambda_out = py::array_t<double>({ncols, nrows});
    double* fp22 = static_cast<double*>(fp22_out.request().ptr);
    double* l_lambda = static_cast<double*>(lambda_out.request().ptr);



    
    auto vi_c = py::array_t<double>({ncols, nrows});



    

    return vi_c;
}

// Pybind11 module definition
PYBIND11_MODULE(cprvicpp, m) {
    m.doc() = "dp/cp Processing Module";
    m.def("process_chunk_func", &process_chunk_func, 
          "Process a C2 chunk to generate ---"
        );
}