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#pragma once
#ifndef TESTING_SPMV_COO_AOS_HPP
#define TESTING_SPMV_COO_AOS_HPP

#include "hipsparse_test_unique_ptr.hpp"
#include "unit.hpp"
#include "utility.hpp"

#include <hipsparse.h>
#include <string>
#include <typeinfo>

using namespace hipsparse_test;

void testing_spmv_coo_aos_bad_arg(void)
{
#if(!defined(CUDART_VERSION) || (CUDART_VERSION > 10010 && CUDART_VERSION < 12000) \
    || (CUDART_VERSION == 10010 && CUDART_10_1_UPDATE_VERSION == 1 && CUDART_VERSION < 12000))
    int64_t              m         = 100;
    int64_t              n         = 100;
    int64_t              nnz       = 100;
    int64_t              safe_size = 100;
    float                alpha     = 0.6;
    float                beta      = 0.2;
    hipsparseOperation_t transA    = HIPSPARSE_OPERATION_NON_TRANSPOSE;
    hipsparseIndexBase_t idxBase   = HIPSPARSE_INDEX_BASE_ZERO;
    hipsparseIndexType_t idxType   = HIPSPARSE_INDEX_32I;
    hipDataType          dataType  = HIP_R_32F;

#if(!defined(CUDART_VERSION))
    hipsparseSpMVAlg_t alg = HIPSPARSE_MV_ALG_DEFAULT;
#else
#if(CUDART_VERSION >= 12000)
    hipsparseSpMVAlg_t alg = HIPSPARSE_SPMV_ALG_DEFAULT;
#elif(CUDART_VERSION >= 10010 && CUDART_VERSION < 12000)
    hipsparseSpMVAlg_t alg = HIPSPARSE_MV_ALG_DEFAULT;
#endif
#endif

    std::unique_ptr<handle_struct> unique_ptr_handle(new handle_struct);
    hipsparseHandle_t              handle = unique_ptr_handle->handle;

    auto dind_managed = hipsparse_unique_ptr{device_malloc(sizeof(int) * safe_size), device_free};
    auto dval_managed = hipsparse_unique_ptr{device_malloc(sizeof(float) * safe_size), device_free};
    auto dx_managed   = hipsparse_unique_ptr{device_malloc(sizeof(float) * safe_size), device_free};
    auto dy_managed   = hipsparse_unique_ptr{device_malloc(sizeof(float) * safe_size), device_free};
    auto dbuf_managed = hipsparse_unique_ptr{device_malloc(sizeof(char) * safe_size), device_free};

    int*   dind = (int*)dind_managed.get();
    float* dval = (float*)dval_managed.get();
    float* dx   = (float*)dx_managed.get();
    float* dy   = (float*)dy_managed.get();
    void*  dbuf = (void*)dbuf_managed.get();

    if(!dval || !dind || !dx || !dy || !dbuf)
    {
        PRINT_IF_HIP_ERROR(hipErrorOutOfMemory);
        return;
    }

    // SpMV structures
    hipsparseSpMatDescr_t A;
    hipsparseDnVecDescr_t x, y;

    size_t bsize;

    // Create SpMV structures
    verify_hipsparse_status_success(
        hipsparseCreateCooAoS(&A, m, n, nnz, dind, dval, idxType, idxBase, dataType), "success");
    verify_hipsparse_status_success(hipsparseCreateDnVec(&x, n, dx, dataType), "success");
    verify_hipsparse_status_success(hipsparseCreateDnVec(&y, m, dy, dataType), "success");

    // SpMV buffer
    verify_hipsparse_status_invalid_handle(
        hipsparseSpMV_bufferSize(nullptr, transA, &alpha, A, x, &beta, y, dataType, alg, &bsize));
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV_bufferSize(handle, transA, nullptr, A, x, &beta, y, dataType, alg, &bsize),
        "Error: alpha is nullptr");
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV_bufferSize(
            handle, transA, &alpha, nullptr, x, &beta, y, dataType, alg, &bsize),
        "Error: A is nullptr");
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV_bufferSize(
            handle, transA, &alpha, A, nullptr, &beta, y, dataType, alg, &bsize),
        "Error: x is nullptr");
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV_bufferSize(handle, transA, &alpha, A, x, nullptr, y, dataType, alg, &bsize),
        "Error: beta is nullptr");
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV_bufferSize(
            handle, transA, &alpha, A, x, &beta, nullptr, dataType, alg, &bsize),
        "Error: y is nullptr");
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV_bufferSize(handle, transA, &alpha, A, x, &beta, y, dataType, alg, nullptr),
        "Error: bsize is nullptr");

    // SpMV
    verify_hipsparse_status_invalid_handle(
        hipsparseSpMV(nullptr, transA, &alpha, A, x, &beta, y, dataType, alg, dbuf));
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV(handle, transA, nullptr, A, x, &beta, y, dataType, alg, dbuf),
        "Error: alpha is nullptr");
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV(handle, transA, &alpha, nullptr, x, &beta, y, dataType, alg, dbuf),
        "Error: A is nullptr");
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV(handle, transA, &alpha, A, nullptr, &beta, y, dataType, alg, dbuf),
        "Error: x is nullptr");
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV(handle, transA, &alpha, A, x, nullptr, y, dataType, alg, dbuf),
        "Error: beta is nullptr");
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV(handle, transA, &alpha, A, x, &beta, nullptr, dataType, alg, dbuf),
        "Error: y is nullptr");
    verify_hipsparse_status_invalid_pointer(
        hipsparseSpMV(handle, transA, &alpha, A, x, &beta, nullptr, dataType, alg, nullptr),
        "Error: dbuf is nullptr");

    // Destruct
    verify_hipsparse_status_success(hipsparseDestroySpMat(A), "success");
    verify_hipsparse_status_success(hipsparseDestroyDnVec(x), "success");
    verify_hipsparse_status_success(hipsparseDestroyDnVec(y), "success");
#endif
}

template <typename I, typename T>
hipsparseStatus_t testing_spmv_coo_aos(void)
{
#if(!defined(CUDART_VERSION) || (CUDART_VERSION > 10010 && CUDART_VERSION < 12000) \
    || (CUDART_VERSION == 10010 && CUDART_10_1_UPDATE_VERSION == 1 && CUDART_VERSION < 12000))
    T                    h_alpha  = make_DataType<T>(2.0);
    T                    h_beta   = make_DataType<T>(1.0);
    hipsparseOperation_t transA   = HIPSPARSE_OPERATION_NON_TRANSPOSE;
    hipsparseIndexBase_t idx_base = HIPSPARSE_INDEX_BASE_ZERO;
    hipsparseSpMVAlg_t   alg      = HIPSPARSE_COOMV_ALG;

    // Matrices are stored at the same path in matrices directory
    std::string filename = get_filename("nos3.bin");

    // Index and data type
    hipsparseIndexType_t typeI
        = (typeid(I) == typeid(int32_t)) ? HIPSPARSE_INDEX_32I : HIPSPARSE_INDEX_64I;
    hipDataType typeT = (typeid(T) == typeid(float))
                            ? HIP_R_32F
                            : ((typeid(T) == typeid(double))
                                   ? HIP_R_64F
                                   : ((typeid(T) == typeid(hipComplex) ? HIP_C_32F : HIP_C_64F)));

    // hipSPARSE handle
    std::unique_ptr<handle_struct> test_handle(new handle_struct);
    hipsparseHandle_t              handle = test_handle->handle;

    // Host structures
    std::vector<I> hrow_ptr;
    std::vector<I> hcol_ind;
    std::vector<T> hval;

    // Initial Data on CPU
    srand(12345ULL);

    I m;
    I n;
    I nnz;

    if(read_bin_matrix(filename.c_str(), m, n, nnz, hrow_ptr, hcol_ind, hval, idx_base) != 0)
    {
        fprintf(stderr, "Cannot open [read] %s\n", filename.c_str());
        return HIPSPARSE_STATUS_INTERNAL_ERROR;
    }

    std::vector<I> hind(2 * nnz);

    // Convert to COO (AoS)
    for(I i = 0; i < m; ++i)
    {
        for(I j = hrow_ptr[i] - idx_base; j < hrow_ptr[i + 1] - idx_base; ++j)
        {
            hind[2 * j]     = i + idx_base;
            hind[2 * j + 1] = hcol_ind[j];
        }
    }

    std::vector<T> hx(n);
    std::vector<T> hy_1(m);
    std::vector<T> hy_2(m);
    std::vector<T> hy_gold(m);

    hipsparseInit<T>(hx, 1, n);
    hipsparseInit<T>(hy_1, 1, m);

    // copy vector is easy in STL; hy_gold = hx: save a copy in hy_gold which will be output of CPU
    hy_2    = hy_1;
    hy_gold = hy_1;

    // allocate memory on device
    auto dind_managed    = hipsparse_unique_ptr{device_malloc(sizeof(I) * 2 * nnz), device_free};
    auto dval_managed    = hipsparse_unique_ptr{device_malloc(sizeof(T) * nnz), device_free};
    auto dx_managed      = hipsparse_unique_ptr{device_malloc(sizeof(T) * n), device_free};
    auto dy_1_managed    = hipsparse_unique_ptr{device_malloc(sizeof(T) * m), device_free};
    auto dy_2_managed    = hipsparse_unique_ptr{device_malloc(sizeof(T) * m), device_free};
    auto d_alpha_managed = hipsparse_unique_ptr{device_malloc(sizeof(T)), device_free};
    auto d_beta_managed  = hipsparse_unique_ptr{device_malloc(sizeof(T)), device_free};

    I* dind    = (I*)dind_managed.get();
    T* dval    = (T*)dval_managed.get();
    T* dx      = (T*)dx_managed.get();
    T* dy_1    = (T*)dy_1_managed.get();
    T* dy_2    = (T*)dy_2_managed.get();
    T* d_alpha = (T*)d_alpha_managed.get();
    T* d_beta  = (T*)d_beta_managed.get();

    if(!dval || !dind || !dx || !dy_1 || !dy_2 || !d_alpha || !d_beta)
    {
        verify_hipsparse_status_success(HIPSPARSE_STATUS_ALLOC_FAILED,
                                        "!dval || !dind || !dx || "
                                        "!dy_1 || !dy_2 || !d_alpha || !d_beta");
        return HIPSPARSE_STATUS_ALLOC_FAILED;
    }

    // copy data from CPU to device
    CHECK_HIP_ERROR(hipMemcpy(dind, hind.data(), sizeof(I) * 2 * nnz, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(dval, hval.data(), sizeof(T) * nnz, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(dx, hx.data(), sizeof(T) * n, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(dy_1, hy_1.data(), sizeof(T) * m, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(dy_2, hy_2.data(), sizeof(T) * m, hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(d_alpha, &h_alpha, sizeof(T), hipMemcpyHostToDevice));
    CHECK_HIP_ERROR(hipMemcpy(d_beta, &h_beta, sizeof(T), hipMemcpyHostToDevice));

    // Create matrices
    hipsparseSpMatDescr_t A;
    CHECK_HIPSPARSE_ERROR(hipsparseCreateCooAoS(&A, m, n, nnz, dind, dval, typeI, idx_base, typeT));

    // Create dense vectors
    hipsparseDnVecDescr_t x, y1, y2;
    CHECK_HIPSPARSE_ERROR(hipsparseCreateDnVec(&x, n, dx, typeT));
    CHECK_HIPSPARSE_ERROR(hipsparseCreateDnVec(&y1, m, dy_1, typeT));
    CHECK_HIPSPARSE_ERROR(hipsparseCreateDnVec(&y2, m, dy_2, typeT));

    // Query SpMV buffer
    size_t bufferSize;
    CHECK_HIPSPARSE_ERROR(hipsparseSpMV_bufferSize(
        handle, transA, &h_alpha, A, x, &h_beta, y1, typeT, alg, &bufferSize));

    void* buffer;
    CHECK_HIP_ERROR(hipMalloc(&buffer, bufferSize));

    // ROCSPARSE pointer mode host
    CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
    CHECK_HIPSPARSE_ERROR(
        hipsparseSpMV(handle, transA, &h_alpha, A, x, &h_beta, y1, typeT, alg, buffer));

    // ROCSPARSE pointer mode device
    CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE));
    CHECK_HIPSPARSE_ERROR(
        hipsparseSpMV(handle, transA, d_alpha, A, x, d_beta, y2, typeT, alg, buffer));

    // copy output from device to CPU
    CHECK_HIP_ERROR(hipMemcpy(hy_1.data(), dy_1, sizeof(T) * m, hipMemcpyDeviceToHost));
    CHECK_HIP_ERROR(hipMemcpy(hy_2.data(), dy_2, sizeof(T) * m, hipMemcpyDeviceToHost));

    // Host SpMV
#ifdef _OPENMP
#pragma omp parallel for schedule(dynamic, 1024)
#endif
    for(I i = 0; i < m; ++i)
    {
        hy_gold[i] = hy_gold[i] * h_beta;
    }

    for(I i = 0; i < nnz; ++i)
    {
        hy_gold[hind[2 * i] - idx_base] = testing_fma(testing_mult(h_alpha, hval[i]),
                                                      hx[hind[2 * i + 1] - idx_base],
                                                      hy_gold[hind[2 * i] - idx_base]);
    }

    unit_check_near(1, m, 1, hy_gold.data(), hy_1.data());
    unit_check_near(1, m, 1, hy_gold.data(), hy_2.data());

    CHECK_HIP_ERROR(hipFree(buffer));
    CHECK_HIPSPARSE_ERROR(hipsparseDestroySpMat(A));
    CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(x));
    CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(y1));
    CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(y2));
#endif

    return HIPSPARSE_STATUS_SUCCESS;
}

#endif // TESTING_SPMV_COO_AOS_HPP
