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limp-cbc-0.3.2.0: cbits/coin/Cbc_C_Interface.h

/* $Id: Cbc_C_Interface.h 1902 2013-04-10 16:58:16Z stefan $ */
/*
  Copyright (C) 2004 International Business Machines Corporation and others.
  All Rights Reserved.

  This code is licensed under the terms of the Eclipse Public License (EPL).
*/
#ifndef CbcModelC_H
#define CbcModelC_H

/* include all defines and ugly stuff */
#include "Coin_C_defines.h"

/** This is a first "C" interface to Cbc.
    It is mostly similar to the "C" interface to Clp and
    was contributed by Bob Entriken.
*/

#ifdef __cplusplus
extern "C" {
#endif

    /**@name Constructors and destructor
       These do not have an exact analogue in C++.
       The user does not need to know structure of Cbc_Model.

       For all functions outside this group there is an exact C++
       analogue created by taking the first parameter out, removing the Cbc_
       from name and applying the method to an object of type ClpSimplex.
    */
    /*@{*/

    /** Version */
    COINLIBAPI double COINLINKAGE Cbc_getVersion()
    ;
    /** Default Cbc_Model constructor */
    COINLIBAPI Cbc_Model * COINLINKAGE
    Cbc_newModel()
    ;
    /** Cbc_Model Destructor */
    COINLIBAPI void COINLINKAGE
    Cbc_deleteModel(Cbc_Model * model)
    ;
    /*@}*/

    /**@name Load model - loads some stuff and initializes others */
    /*@{*/
    /* Loads a problem (the constraints on the
        rows are given by lower and upper bounds). If a pointer is NULL then the
        following values are the default:
        <ul>
        <li> <code>colub</code>: all columns have upper bound infinity
        <li> <code>collb</code>: all columns have lower bound 0
        <li> <code>rowub</code>: all rows have upper bound infinity
        <li> <code>rowlb</code>: all rows have lower bound -infinity
        <li> <code>obj</code>: all variables have 0 objective coefficient
        </ul>

     Just like the other loadProblem() method except that the matrix is
     given in a standard column major ordered format (without gaps).
    */
    COINLIBAPI void COINLINKAGE
    Cbc_loadProblem (Cbc_Model * model,  const int numcols, const int numrows,
                     const CoinBigIndex * start, const int* index,
                     const double* value,
                     const double* collb, const double* colub,
                     const double* obj,
                     const double* rowlb, const double* rowub)
    ;
    /** Read an mps file from the given filename */
    COINLIBAPI int COINLINKAGE
    Cbc_readMps(Cbc_Model * model, const char *filename)
    ;
    /** Write an mps file from the given filename */
    COINLIBAPI void COINLINKAGE
    Cbc_writeMps(Cbc_Model * model, const char *filename)
    ;
    /** Integer information */
    COINLIBAPI char * COINLINKAGE
    Cbc_integerInformation(Cbc_Model * model)
    ;
    /** Copy in integer information */
    COINLIBAPI void COINLINKAGE
    Cbc_copyInIntegerInformation(Cbc_Model * model, const char * information)
    ;
    /** Drop integer informations */
    COINLIBAPI void COINLINKAGE
    Cbc_deleteIntegerInformation(Cbc_Model * model)
    ;
    /** Resizes rim part of model  */
    COINLIBAPI void COINLINKAGE
    Cbc_resize (Cbc_Model * model, int newNumberRows, int newNumberColumns)
    ;
    /** Deletes rows */
    COINLIBAPI void COINLINKAGE
    Cbc_deleteRows(Cbc_Model * model, int number, const int * which)
    ;
    /** Add rows */
    COINLIBAPI void COINLINKAGE
    Cbc_addRows(Cbc_Model * model, const int number, const double * rowLower,
                const double * rowUpper,
                const int * rowStarts, const int * columns,
                const double * elements)
    ;

    /** Deletes columns */
    COINLIBAPI void COINLINKAGE
    Cbc_deleteColumns(Cbc_Model * model, int number, const int * which)
    ;
    /** Add columns */
    COINLIBAPI void COINLINKAGE
    Cbc_addColumns(Cbc_Model * model, int number, const double * columnLower,
                   const double * columnUpper,
                   const double * objective,
                   const int * columnStarts, const int * rows,
                   const double * elements);
    /** Drops names - makes lengthnames 0 and names empty */
    COINLIBAPI void COINLINKAGE
    Cbc_dropNames(Cbc_Model * model)
    ;
    /** Copies in names */
    COINLIBAPI void COINLINKAGE
    Cbc_copyNames(Cbc_Model * model, const char * const * rowNamesIn,
                  const char * const * columnNamesIn)
    ;

    /*@}*/
    /**@name gets and sets - you will find some synonyms at the end of this file */
    /*@{*/
    /** Number of rows */
    COINLIBAPI int COINLINKAGE
    Cbc_numberRows(Cbc_Model * model)
    ;
    /** Number of columns */
    COINLIBAPI int COINLINKAGE
    Cbc_numberColumns(Cbc_Model * model)
    ;
    /** Primal tolerance to use */
    COINLIBAPI double COINLINKAGE
    Cbc_primalTolerance(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setPrimalTolerance(Cbc_Model * model,  double value)
    ;
    /** Dual tolerance to use */
    COINLIBAPI double COINLINKAGE
    Cbc_dualTolerance(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setDualTolerance(Cbc_Model * model,  double value)
    ;
    /* Integer tolerance to use */
    COINLIBAPI double COINLINKAGE
    Cbc_integerTolerance(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setIntegerTolerance(Cbc_Model * model,  double value)
    ;
    /** Dual objective limit */
    COINLIBAPI double COINLINKAGE
    Cbc_dualObjectiveLimit(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setDualObjectiveLimit(Cbc_Model * model, double value)
    ;
    /** Objective offset */
    COINLIBAPI double COINLINKAGE
    Cbc_objectiveOffset(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setObjectiveOffset(Cbc_Model * model, double value)
    ;
    /** Fills in array with problem name  */
    COINLIBAPI void COINLINKAGE
    Cbc_problemName(Cbc_Model * model, int maxNumberCharacters, char * array)
    ;
    /** Sets problem name.
    
      \p array must be a null-terminated string.
    */
    COINLIBAPI int COINLINKAGE
    Cbc_setProblemName(Cbc_Model * model, int maxNumberCharacters, char * array)
    ;
    /** Number of iterations */
    COINLIBAPI int COINLINKAGE
    Cbc_numberIterations(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setNumberIterations(Cbc_Model * model, int numberIterations)
    ;
    /** Maximum number of iterations */
    COINLIBAPI int COINLINKAGE
    Cbc_maximumIterations(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setMaximumIterations(Cbc_Model * model, int value)
    ;
    /** Maximum number of nodes */
    COINLIBAPI int COINLINKAGE
    Cbc_maxNumNode(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setMaxNumNode(Cbc_Model * model, int value)
    ;
    /* Maximum number of solutions */
    COINLIBAPI int COINLINKAGE
    Cbc_maxNumSol(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setMaxNumSol(Cbc_Model * model, int value)
    ;
    /** Maximum time in seconds (from when set called) */
    COINLIBAPI double COINLINKAGE
    Cbc_maximumSeconds(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setMaximumSeconds(Cbc_Model * model, double value)
    ;
    /** Returns true if hit maximum iterations (or time) */
    COINLIBAPI int COINLINKAGE
    Cbc_hitMaximumIterations(Cbc_Model * model)
    ;
    /** Status of problem:
        0 - optimal
        1 - primal infeasible
        2 - dual infeasible
        3 - stopped on iterations etc
        4 - stopped due to errors
    */
    COINLIBAPI int COINLINKAGE
    Cbc_status(Cbc_Model * model)
    ;
    /** Set problem status */
    COINLIBAPI void COINLINKAGE
    Cbc_setProblemStatus(Cbc_Model * model, int problemStatus)
    ;
    /** Secondary status of problem - may get extended
        0 - none
        1 - primal infeasible because dual limit reached
        2 - scaled problem optimal - unscaled has primal infeasibilities
        3 - scaled problem optimal - unscaled has dual infeasibilities
        4 - scaled problem optimal - unscaled has both dual and primal infeasibilities
    */
    COINLIBAPI int COINLINKAGE
    Cbc_secondaryStatus(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setSecondaryStatus(Cbc_Model * model, int status)
    ;
    /** Direction of optimization (1 - minimize, -1 - maximize, 0 - ignore */
    COINLIBAPI double COINLINKAGE
    Cbc_optimizationDirection(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setOptimizationDirection(Cbc_Model * model, double value)
    ;
    /** Primal row solution */
    COINLIBAPI double * COINLINKAGE
    Cbc_primalRowSolution(Cbc_Model * model)
    ;
    /** Primal column solution */
    COINLIBAPI double * COINLINKAGE
    Cbc_primalColumnSolution(Cbc_Model * model)
    ;
    /** Dual row solution */
    COINLIBAPI double * COINLINKAGE
    Cbc_dualRowSolution(Cbc_Model * model)
    ;
    /** Reduced costs */
    COINLIBAPI double * COINLINKAGE
    Cbc_dualColumnSolution(Cbc_Model * model)
    ;
    /** Row lower */
    COINLIBAPI double* COINLINKAGE
    Cbc_rowLower(Cbc_Model * model)
    ;
    /** Row upper  */
    COINLIBAPI double* COINLINKAGE
    Cbc_rowUpper(Cbc_Model * model)
    ;
    /** Objective */
    COINLIBAPI double * COINLINKAGE
    Cbc_objective(Cbc_Model * model)
    ;
    /** Column Lower */
    COINLIBAPI double * COINLINKAGE
    Cbc_columnLower(Cbc_Model * model)
    ;
    /** Column Upper */
    COINLIBAPI double * COINLINKAGE
    Cbc_columnUpper(Cbc_Model * model)
    ;
    /** Number of elements in matrix */
    COINLIBAPI int COINLINKAGE
    Cbc_getNumElements(Cbc_Model * model)
    ;
    /** Column starts in matrix */
    COINLIBAPI const CoinBigIndex * COINLINKAGE
    Cbc_getVectorStarts(Cbc_Model * model)
    ;
    /** Row indices in matrix */
    COINLIBAPI const int * COINLINKAGE
    Cbc_getIndices(Cbc_Model * model)
    ;
    /** Column vector lengths in matrix */
    COINLIBAPI const int * COINLINKAGE
    Cbc_getVectorLengths(Cbc_Model * model)
    ;
    /** Element values in matrix */
    COINLIBAPI const double * COINLINKAGE
    Cbc_getElements(Cbc_Model * model)
    ;
    /** Objective value */
    COINLIBAPI double COINLINKAGE
    Cbc_objectiveValue(Cbc_Model * model)
    ;
    /** Infeasibility/unbounded ray (NULL returned if none/wrong)
        Up to user to use delete [] on these arrays.  */
    COINLIBAPI double * COINLINKAGE
    Cbc_infeasibilityRay(Cbc_Model * model)
    ;
    COINLIBAPI double * COINLINKAGE
    Cbc_unboundedRay(Cbc_Model * model)
    ;
    /** See if status array exists (partly for OsiClp) */
    COINLIBAPI int COINLINKAGE
    Cbc_statusExists(Cbc_Model * model)
    ;
    /** Return address of status array (char[numberRows+numberColumns]) */
    COINLIBAPI void  COINLINKAGE
    Cbc_getBasisStatus(Cbc_Model * model, int * cstat, int * rstat)
    ;
    /** Copy in status vector */
    COINLIBAPI void COINLINKAGE
    Cbc_setBasisStatus(Cbc_Model * model, int * cstat, int * rstat)
    ;

    /** User pointer for whatever reason */
    COINLIBAPI void COINLINKAGE
    Cbc_setUserPointer (Cbc_Model * model, void * pointer)
    ;
    COINLIBAPI void * COINLINKAGE
    Cbc_getUserPointer (Cbc_Model * model)
    ;
    /*@}*/
    /**@name Message handling.  Call backs are handled by ONE function */
    /*@{*/
    /** Pass in Callback function.
     Message numbers up to 1000000 are Clp, Coin ones have 1000000 added */
    COINLIBAPI void COINLINKAGE
    Cbc_registerCallBack(Cbc_Model * model,
                         cbc_callback userCallBack)
    ;
    /** Unset Callback function */
    COINLIBAPI void COINLINKAGE
    Cbc_clearCallBack(Cbc_Model * model)
    ;
    /** Amount of print out:
        0 - none
        1 - just final
        2 - just factorizations
        3 - as 2 plus a bit more
        4 - verbose
        above that 8,16,32 etc just for selective debug
    */
    COINLIBAPI void COINLINKAGE
    Cbc_setLogLevel(Cbc_Model * model, int value)
    ;
    COINLIBAPI int COINLINKAGE
    Cbc_logLevel(Cbc_Model * model)
    ;
    /** length of names (0 means no names0 */
    COINLIBAPI int COINLINKAGE
    Cbc_lengthNames(Cbc_Model * model)
    ;
    /** Fill in array (at least lengthNames+1 long) with a row name */
    COINLIBAPI void COINLINKAGE
    Cbc_rowName(Cbc_Model * model, int iRow, char * name)
    ;
    /** Fill in array (at least lengthNames+1 long) with a column name */
    COINLIBAPI void COINLINKAGE
    Cbc_columnName(Cbc_Model * model, int iColumn, char * name)
    ;

    /*@}*/


    /**@name Functions most useful to user */
    /*@{*/
    /** General solve algorithm which can do presolve.
        See  ClpSolve.hpp for options
     */
    COINLIBAPI int COINLINKAGE
    Cbc_initialSolve(Cbc_Model * model)
    ;
    /* General solve algorithm which can do presolve.
       See  CbcModel.hpp for options
    */
    COINLIBAPI int COINLINKAGE
    Cbc_branchAndBound(Cbc_Model * model)
    ;
    /** Sets or unsets scaling, 0 -off, 1 equilibrium, 2 geometric, 3, auto, 4 dynamic(later) */
    COINLIBAPI void COINLINKAGE
    Cbc_scaling(Cbc_Model * model, int mode)
    ;
    /** Gets scalingFlag */
    COINLIBAPI int COINLINKAGE
    Cbc_scalingFlag(Cbc_Model * model)
    ;
    /** Crash - at present just aimed at dual, returns
        -2 if dual preferred and crash basis created
        -1 if dual preferred and all slack basis preferred
         0 if basis going in was not all slack
         1 if primal preferred and all slack basis preferred
         2 if primal preferred and crash basis created.

         if gap between bounds <="gap" variables can be flipped

         If "pivot" is
         0 No pivoting (so will just be choice of algorithm)
         1 Simple pivoting e.g. gub
         2 Mini iterations
    */
    COINLIBAPI int COINLINKAGE
    Cbc_crash(Cbc_Model * model, double gap, int pivot)
    ;
    /*@}*/


    /**@name most useful gets and sets */
    /*@{*/
    /** If problem is primal feasible */
    COINLIBAPI int COINLINKAGE
    Cbc_primalFeasible(Cbc_Model * model)
    ;
    /** If problem is dual feasible */
    COINLIBAPI int COINLINKAGE
    Cbc_dualFeasible(Cbc_Model * model)
    ;
    /** Dual bound */
    COINLIBAPI double COINLINKAGE
    Cbc_dualBound(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setDualBound(Cbc_Model * model, double value)
    ;
    /** Infeasibility cost */
    COINLIBAPI double COINLINKAGE
    Cbc_infeasibilityCost(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setInfeasibilityCost(Cbc_Model * model, double value)
    ;
    /** Perturbation:
        50  - switch on perturbation
        100 - auto perturb if takes too long (1.0e-6 largest nonzero)
        101 - we are perturbed
        102 - don't try perturbing again
        default is 100
        others are for playing
    */
    COINLIBAPI int COINLINKAGE
    Cbc_perturbation(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setPerturbation(Cbc_Model * model, int value)
    ;
    /** Current (or last) algorithm */
    COINLIBAPI int COINLINKAGE
    Cbc_algorithm(Cbc_Model * model)
    ;
    /** Set algorithm */
    COINLIBAPI void COINLINKAGE
    Cbc_setAlgorithm(Cbc_Model * model, int value)
    ;
    /** Sum of dual infeasibilities */
    COINLIBAPI double COINLINKAGE
    Cbc_sumDualInfeasibilities(Cbc_Model * model)
    ;
    /** Number of dual infeasibilities */
    COINLIBAPI int COINLINKAGE
    Cbc_numberDualInfeasibilities(Cbc_Model * model)
    ;
    /** Sum of primal infeasibilities */
    COINLIBAPI double COINLINKAGE
    Cbc_sumPrimalInfeasibilities(Cbc_Model * model)
    ;
    /** Number of primal infeasibilities */
    COINLIBAPI int COINLINKAGE
    Cbc_numberPrimalInfeasibilities(Cbc_Model * model)
    ;
    /** Save model to file, returns 0 if success.  This is designed for
        use outside algorithms so does not save iterating arrays etc.
    It does not save any messaging information.
    Does not save scaling values.
    It does not know about all types of virtual functions.
    */
    COINLIBAPI int COINLINKAGE
    Cbc_saveModel(Cbc_Model * model, const char * fileName)
    ;
    /** Restore model from file, returns 0 if success,
        deletes current model */
    COINLIBAPI int COINLINKAGE
    Cbc_restoreModel(Cbc_Model * model, const char * fileName)
    ;

    /** Just check solution (for external use) - sets sum of
        infeasibilities etc */
    COINLIBAPI void COINLINKAGE
    Cbc_checkSolution(Cbc_Model * model)
    ;
    /*@}*/

    /******************** End of most useful part **************/
    /**@name gets and sets - some synonyms */
    /*@{*/
    /** Number of rows */
    COINLIBAPI int COINLINKAGE
    Cbc_getNumRows(Cbc_Model * model)
    ;
    /** Number of columns */
    COINLIBAPI int COINLINKAGE
    Cbc_getNumCols(Cbc_Model * model)
    ;
    /** Number of iterations */
    COINLIBAPI int COINLINKAGE
    Cbc_getIterationCount(Cbc_Model * model)
    ;
    /** Are there a numerical difficulties? */
    COINLIBAPI int COINLINKAGE
    Cbc_isAbandoned(Cbc_Model * model)
    ;
    /** Is optimality proven? */
    COINLIBAPI int COINLINKAGE
    Cbc_isProvenOptimal(Cbc_Model * model)
    ;
    /** Is primal infeasiblity proven? */
    COINLIBAPI int COINLINKAGE
    Cbc_isProvenPrimalInfeasible(Cbc_Model * model)
    ;
    /** Is dual infeasiblity proven? */
    COINLIBAPI int COINLINKAGE
    Cbc_isProvenDualInfeasible(Cbc_Model * model)
    ;
    /** Is the given primal objective limit reached? */
    COINLIBAPI int COINLINKAGE
    Cbc_isPrimalObjectiveLimitReached(Cbc_Model * model)
    ;
    /** Is the given dual objective limit reached? */
    COINLIBAPI int COINLINKAGE
    Cbc_isDualObjectiveLimitReached(Cbc_Model * model)
    ;
    /** Iteration limit reached? */
    COINLIBAPI int COINLINKAGE
    Cbc_isIterationLimitReached(Cbc_Model * model)
    ;
    /** Direction of optimization (1 - minimize, -1 - maximize, 0 - ignore */
    COINLIBAPI double COINLINKAGE
    Cbc_getObjSense(Cbc_Model * model)
    ;
    /** Primal row solution */
    COINLIBAPI const double * COINLINKAGE
    Cbc_getRowActivity(Cbc_Model * model)
    ;
    /** Primal column solution */
    COINLIBAPI const double * COINLINKAGE
    Cbc_getColSolution(Cbc_Model * model)
    ;
    COINLIBAPI void COINLINKAGE
    Cbc_setColSolution(Cbc_Model * model, const double * input)
    ;
    /** Dual row solution */
    COINLIBAPI const double * COINLINKAGE
    Cbc_getRowPrice(Cbc_Model * model)
    ;
    /** Reduced costs */
    COINLIBAPI const double * COINLINKAGE
    Cbc_getReducedCost(Cbc_Model * model)
    ;
    /** Row lower */
    COINLIBAPI const double* COINLINKAGE
    Cbc_getRowLower(Cbc_Model * model)
    ;
    /** Row upper  */
    COINLIBAPI const double* COINLINKAGE
    Cbc_getRowUpper(Cbc_Model * model)
    ;
    /** Objective */
    COINLIBAPI const double * COINLINKAGE
    Cbc_getObjCoefficients(Cbc_Model * model)
    ;
    /** Column Lower */
    COINLIBAPI const double * COINLINKAGE
    Cbc_getColLower(Cbc_Model * model)
    ;
    /** Column Upper */
    COINLIBAPI const double * COINLINKAGE
    Cbc_getColUpper(Cbc_Model * model)
    ;
    /** Objective value */
    COINLIBAPI double COINLINKAGE
    Cbc_getObjValue(Cbc_Model * model)
    ;
    /** Print the model */
    COINLIBAPI void COINLINKAGE
    Cbc_printModel(Cbc_Model * model, const char * argPrefix)
    ;
    /** Determine whether the variable at location i is integer restricted */
    COINLIBAPI int COINLINKAGE
    Cbc_isInteger(Cbc_Model * model, int i)
    ;
    /** Return CPU time */
    COINLIBAPI double COINLINKAGE
    Cbc_cpuTime(Cbc_Model * model)
    ;
    /** Number of nodes explored in B&B tree */
    COINLIBAPI int COINLINKAGE
    Cbc_getNodeCount(Cbc_Model * model)
    ;
    /** Return a copy of this model */
    COINLIBAPI Cbc_Model * COINLINKAGE
    Cbc_clone(Cbc_Model * model)
    ;
    /** Set this the variable to be continuous */
    COINLIBAPI Cbc_Model * COINLINKAGE
    Cbc_setContinuous(Cbc_Model * model, int iColumn)
    ;
    /** Add SOS constraints to the model using dense matrix */
    COINLIBAPI void  COINLINKAGE
    Cbc_addSOS_Dense(Cbc_Model * model, int numObjects, const int * len,
                     const int * const * which, const double * weights, const int type)
    ;
    /** Add SOS constraints to the model using row-order matrix */
    COINLIBAPI void  COINLINKAGE
    Cbc_addSOS_Sparse(Cbc_Model * model, const int * rowStarts,
                      const int * rowIndices, const double * weights, const int type)
    ;
    /** Delete all object information */
    COINLIBAPI void  COINLINKAGE
    Cbc_deleteObjects(Cbc_Model * model)
    ;
    /** Print the solution */
    COINLIBAPI void  COINLINKAGE
    Cbc_printSolution(Cbc_Model * model)
    ;
    /** Dual initial solve */
    COINLIBAPI int COINLINKAGE
    Cbc_initialDualSolve(Cbc_Model * model)
    ;
    /** Primal initial solve */
    COINLIBAPI int COINLINKAGE
    Cbc_initialPrimalSolve(Cbc_Model * model)
    ;
    /** Dual algorithm - see ClpSimplexDual.hpp for method */
    COINLIBAPI int COINLINKAGE
    Cbc_dual(Cbc_Model * model, int ifValuesPass)
    ;
    /** Primal algorithm - see ClpSimplexPrimal.hpp for method */
    COINLIBAPI int COINLINKAGE
    Cbc_primal(Cbc_Model * model, int ifValuesPass)
    ;
    /*@}*/
#ifdef __cplusplus
}
#endif
#endif