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#include <stdio.h>
#include <stdlib.h>
#include <vector>

#include "testing_common.hpp"

/* ============================================================================================ */

using hipblasScalModel = ArgumentModel<e_a_type, e_c_type, e_N, e_alpha, e_incx>;

inline void testname_scal(const Arguments& arg, std::string& name)
{
    hipblasScalModel{}.test_name(arg, name);
}

template <typename T, typename U = T>
void testing_scal_bad_arg(const Arguments& arg)
{
    using Ts           = hipblas_internal_type<U>;
    bool FORTRAN       = arg.api == hipblas_client_api::FORTRAN;
    auto hipblasScalFn = FORTRAN ? hipblasScal<T, U, true> : hipblasScal<T, U, false>;
    auto hipblasScalFn_64
        = arg.api == FORTRAN_64 ? hipblasScal_64<T, U, true> : hipblasScal_64<T, U, false>;

    int64_t N     = 100;
    int64_t incx  = 1;
    U       alpha = (U)0.6;

    hipblasLocalHandle handle(arg);

    device_vector<T> dx(N, incx);

    for(auto pointer_mode : {HIPBLAS_POINTER_MODE_HOST, HIPBLAS_POINTER_MODE_DEVICE})
    {
        CHECK_HIPBLAS_ERROR(hipblasSetPointerMode(handle, pointer_mode));

        // Notably scal differs from axpy such that x can /never/ be a nullptr, regardless of alpha.

        // None of these test cases will write to result so using device pointer is fine for both modes
        DAPI_EXPECT(HIPBLAS_STATUS_NOT_INITIALIZED,
                    hipblasScalFn,
                    (nullptr, N, reinterpret_cast<Ts*>(&alpha), dx, incx));

        if(arg.bad_arg_all)
        {
            DAPI_EXPECT(
                HIPBLAS_STATUS_INVALID_VALUE, hipblasScalFn, (handle, N, nullptr, dx, incx));
            DAPI_EXPECT(HIPBLAS_STATUS_INVALID_VALUE,
                        hipblasScalFn,
                        (handle, N, reinterpret_cast<Ts*>(&alpha), nullptr, incx));
        }
    }
}

template <typename T, typename U = T>
void testing_scal(const Arguments& arg)
{
    using Ts           = hipblas_internal_type<U>;
    bool FORTRAN       = arg.api == hipblas_client_api::FORTRAN;
    auto hipblasScalFn = FORTRAN ? hipblasScal<T, U, true> : hipblasScal<T, U, false>;
    auto hipblasScalFn_64
        = arg.api == FORTRAN_64 ? hipblasScal_64<T, U, true> : hipblasScal_64<T, U, false>;

    int64_t N    = arg.N;
    int64_t incx = arg.incx;

    int unit_check = arg.unit_check;
    int timing     = arg.timing;

    hipblasLocalHandle handle(arg);

    // argument sanity check, quick return if input parameters are invalid before allocating invalid
    // memory
    if(N <= 0 || incx <= 0)
    {
        DAPI_CHECK(hipblasScalFn, (handle, N, nullptr, nullptr, incx));
        return;
    }

    U alpha = arg.get_alpha<U>();

    // Naming: dX is in GPU (device) memory. hK is in CPU (host) memory, plz follow this practice
    host_vector<T> hx(N, incx);
    host_vector<T> hz(N, incx);

    device_vector<T> dx(N, incx);
    CHECK_DEVICE_ALLOCATION(dx.memcheck());

    double hipblas_error{0};

    // Initial Data on CPU
    hipblas_init_vector(hx, arg, hipblas_client_alpha_sets_nan, true);

    // copy vector is easy in STL; hz = hx: save a copy in hz which will be output of CPU BLAS
    hz = hx;

    // copy data from CPU to device
    CHECK_HIP_ERROR(dx.transfer_from(hx));

    if(arg.unit_check || arg.norm_check)
    {
        /* =====================================================================
            HIPBLAS
        =================================================================== */
        DAPI_CHECK(hipblasScalFn, (handle, N, reinterpret_cast<Ts*>(&alpha), dx, incx));

        // copy output from device to CPU
        CHECK_HIP_ERROR(hx.transfer_from(dx));

        /* =====================================================================
                    CPU BLAS
        =================================================================== */
        ref_scal<T, U>(N, alpha, hz.data(), incx);

        // enable unit check, notice unit check is not invasive, but norm check is,
        // unit check and norm check can not be interchanged their order
        if(arg.unit_check)
        {
            unit_check_general<T>(1, N, incx, hz.data(), hx.data());
        }
        if(arg.norm_check)
        {
            hipblas_error = norm_check_general('F', 1, N, incx, hz.data(), hx.data());
        }

    } // end of if unit check

    //  BLAS_1_RESULT_PRINT

    if(timing)
    {
        double      gpu_time_used{0};
        hipStream_t stream;
        CHECK_HIPBLAS_ERROR(hipblasGetStream(handle, &stream));

        int runs = arg.cold_iters + arg.iters;
        for(int iter = 0; iter < runs; iter++)
        {
            if(iter == arg.cold_iters)
                gpu_time_used = get_time_us_sync(stream);

            DAPI_CHECK(hipblasScalFn, (handle, N, reinterpret_cast<Ts*>(&alpha), dx, incx));
        }
        gpu_time_used = get_time_us_sync(stream) - gpu_time_used;

        hipblasScalModel{}.log_args<T>(std::cout,
                                       arg,
                                       gpu_time_used,
                                       scal_gflop_count<T, U>(N),
                                       scal_gbyte_count<T>(N),
                                       hipblas_error);
    }
}