///////////////////////////////////////////////////////////////////////////////////////////////////

// enum eDreamWarning

[helpstring("DREAM warnings")]

typedef enum eDreamWarning

{

 [helpstring("No warning")]

 WAR_NONE = 1,

 [helpstring("Parallel mode of evaluation is not recommended")]

 WAR_INPUT_PARAMETER_PARALLEL,

 [helpstring("Delta set rather large")]

 WAR_INPUT_PARAMETER_DELTA,

 [helpstring("Parameter N set rather large")]

 WAR_INPUT_PARAMETER_N,

 [helpstring("Parameter T set rather large")]

 WAR_INPUT_PARAMETER_T,

 [helpstring("Too many crossover values")]

 WAR_INPUT_PARAMETER_NCR,

 [helpstring("Parameter thinning set rather large")]

 WAR_INPUT_PARAMETER_THINNING,

 [helpstring("Parameter beta0 set rather large")]

 WAR_INPUT_PARAMETER_BETA0,

 [helpstring("Parameter GLUE set rather large")]

 WAR_INPUT_PARAMETER_GLUE,

 [helpstring("Parameter lambda set rather large")]

 WAR_INPUT_PARAMETER_LAMBDA,

 [helpstring("Parameter GLUE set rather large")]

 WAR_INPUT_PARAMETER_ZETA,

 [helpstring("Peirce will use r-values of N = 60")]

 WAR_INPUT_PARAMETER_OUTLIER,

 [helpstring("Thinning reduces length of the sampled chain")]

 WAR_INPUT_PARAMETERS_T_THINNING_1,

 [helpstring("Thinning reduces length of the sampled chain")]

 WAR_INPUT_PARAMETERS_T_THINNING_2,

 [helpstring("Likelihood function selected that contains nuisance variables")]

 WAR_INPUT_PARAMETER_LIKELIHOOD_2,

 [helpstring("Only a single calibration data observation is used")]

 WAR_INPUT_MEASURE_PARAM_Y,

 [helpstring("Only a single summary metric value is used")]

 WAR_INPUT_MEASURE_PARAM_S,

 [helpstring("ABC approach: Default value of epsilon will be used")]

 WAR_INPUT_SETTING_PARAM_EPSILON_1,

 [helpstring("If so desired you can use a different value of epsilon")]

 WAR_INPUT_SETTING_PARAM_EPSILON_2,

 [helpstring("Enough RAM memory to store model simulation")]

 WAR_SOLVER_STORE_FX,

 [helpstring("Can not allocate enough memory")]

 WAR_SOLVER_ALLOC,

 [helpstring("Model simulation variable fx is too large and can not be allocated in memory. Results will not be avaliable.")]

 WAR_SOLVER_MODEL_SIMULATION,

 [helpstring("Wrong dimension of Bayesian Model Averaging (BMA). Bayesian Model Averaging will be skiped.")]

 WAR_SOLVER_BAYESIAN_MODEL_AVERAGING,

 [helpstring("Be sure that function \"GetPriorDataCustom\" is implemented in Evaluator")]

 WAR_INPUT_PARAMETER_DIST_PRIOR,

 [helpstring("At least 200 iterations is needed for coda diagnostic.")]

 WAR_OUTPUT_CODA_DIAGNOSTIC_200_ITERATIONS,

 [helpstring("Finalization of outputs failed")]

 WAR_OUTPUT_CODA_DIAGNOSTIC_GENERAL_PROBLEM,

 [helpstring("Minimum draws for coda diagnostic is 50. Diagnostic will not be avaliable.")]

 WAR_OUTPUT_CODA_DIAGNOSTIC_MIN_50_DRAWS

} eDreamWarning;