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//                For Open Source Computer Vision Library
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#include "cu_safe_call.h"

#ifdef HAVE_CUDA

namespace
{    
    #define error_entry(entry)  { entry, #entry }

    struct ErrorEntry
    {
        int code;
        std::string str;
    }; 

    class ErrorEntryComparer
    {
    public:
        inline ErrorEntryComparer(int code) : code_(code) {}

        inline bool operator()(const ErrorEntry& e) const { return e.code == code_; }

    private:
        int code_;
    };

    std::string getErrorString(int code, const ErrorEntry* errors, size_t n)
    {
        size_t idx = std::find_if(errors, errors + n, ErrorEntryComparer(code)) - errors;

        const std::string& msg = (idx != n) ? errors[idx].str : std::string("Unknown error code");

        std::ostringstream ostr;
        ostr << msg << " [Code = " << code << "]";

        return ostr.str();
    }

    const ErrorEntry cu_errors [] = 
    {
        error_entry( CUDA_SUCCESS                              ),
        error_entry( CUDA_ERROR_INVALID_VALUE                  ),
        error_entry( CUDA_ERROR_OUT_OF_MEMORY                  ),
        error_entry( CUDA_ERROR_NOT_INITIALIZED                ),
        error_entry( CUDA_ERROR_DEINITIALIZED                  ),
        error_entry( CUDA_ERROR_PROFILER_DISABLED              ),
        error_entry( CUDA_ERROR_PROFILER_NOT_INITIALIZED       ),
        error_entry( CUDA_ERROR_PROFILER_ALREADY_STARTED       ),
        error_entry( CUDA_ERROR_PROFILER_ALREADY_STOPPED       ),  
        error_entry( CUDA_ERROR_NO_DEVICE                      ),
        error_entry( CUDA_ERROR_INVALID_DEVICE                 ),
        error_entry( CUDA_ERROR_INVALID_IMAGE                  ),
        error_entry( CUDA_ERROR_INVALID_CONTEXT                ),
        error_entry( CUDA_ERROR_CONTEXT_ALREADY_CURRENT        ),
        error_entry( CUDA_ERROR_MAP_FAILED                     ),
        error_entry( CUDA_ERROR_UNMAP_FAILED                   ),
        error_entry( CUDA_ERROR_ARRAY_IS_MAPPED                ),
        error_entry( CUDA_ERROR_ALREADY_MAPPED                 ),
        error_entry( CUDA_ERROR_NO_BINARY_FOR_GPU              ),
        error_entry( CUDA_ERROR_ALREADY_ACQUIRED               ),
        error_entry( CUDA_ERROR_NOT_MAPPED                     ),
        error_entry( CUDA_ERROR_NOT_MAPPED_AS_ARRAY            ),
        error_entry( CUDA_ERROR_NOT_MAPPED_AS_POINTER          ),
        error_entry( CUDA_ERROR_ECC_UNCORRECTABLE              ),
        error_entry( CUDA_ERROR_UNSUPPORTED_LIMIT              ),
        error_entry( CUDA_ERROR_CONTEXT_ALREADY_IN_USE         ),
        error_entry( CUDA_ERROR_INVALID_SOURCE                 ),
        error_entry( CUDA_ERROR_FILE_NOT_FOUND                 ),
        error_entry( CUDA_ERROR_SHARED_OBJECT_SYMBOL_NOT_FOUND ),
        error_entry( CUDA_ERROR_SHARED_OBJECT_INIT_FAILED      ),
        error_entry( CUDA_ERROR_OPERATING_SYSTEM               ),
        error_entry( CUDA_ERROR_INVALID_HANDLE                 ),
        error_entry( CUDA_ERROR_NOT_FOUND                      ),
        error_entry( CUDA_ERROR_NOT_READY                      ),
        error_entry( CUDA_ERROR_LAUNCH_FAILED                  ),
        error_entry( CUDA_ERROR_LAUNCH_OUT_OF_RESOURCES        ),
        error_entry( CUDA_ERROR_LAUNCH_TIMEOUT                 ),
        error_entry( CUDA_ERROR_LAUNCH_INCOMPATIBLE_TEXTURING  ),
        error_entry( CUDA_ERROR_PEER_ACCESS_ALREADY_ENABLED    ),
        error_entry( CUDA_ERROR_PEER_ACCESS_NOT_ENABLED        ),
        error_entry( CUDA_ERROR_PRIMARY_CONTEXT_ACTIVE         ),
        error_entry( CUDA_ERROR_CONTEXT_IS_DESTROYED           ),
        error_entry( CUDA_ERROR_ASSERT                         ),
        error_entry( CUDA_ERROR_TOO_MANY_PEERS                 ),
        error_entry( CUDA_ERROR_HOST_MEMORY_ALREADY_REGISTERED ),
        error_entry( CUDA_ERROR_HOST_MEMORY_NOT_REGISTERED     ),
        error_entry( CUDA_ERROR_UNKNOWN                        )
    };

    const size_t cu_errors_num = sizeof(cu_errors) / sizeof(cu_errors[0]);
}

std::string cv::gpu::detail::cuGetErrString(CUresult res)
{
    return getErrorString(res, cu_errors, cu_errors_num);
}

#endif // HAVE_CUDA