package lisi version 0.1
{
	enum SparseStruct
	{
		CSR,	
		COO,
		MSR,
		VBR,
		FEM,
	}
  
  enum MatrixID
  {
    MATRIX,
    PRECONDITIONER,
  }
  
  /**
  * since matrixfree port will be provided
  * by the application side, we assume that
  * linear system partition information and
  * startrow already are known.
  * already known.
  */
	interface MatrixFree extends gov.cca.Port{

	int matMult(in MatrixID ID,
        in rarray<double,1> X(Length),
		    inout rarray<double,1> Y(Length),
		    in int Length);
  }	

	interface SparseSolver extends gov.cca.Port{

	int initialize(in long comm);

  int setBlockSize(in int bs);	

	/**
	* Assume that block row partitioning
	*/
	int setStartRow(in int startrow);
	int setLocalRows(in int rows);
	int setLocalNNZ(in int nnz);
	int setGlobalCols(in int cols);
  int setOffset(in int offset);
	
	int setupMatrix[few_args](in rarray<double,1> Values(NNZ),
                    in rarray<int,1> Rows(NNZ),
                    in rarray<int,1> Columns(NNZ),
                    in int NNZ);
	
	int setupMatrix[media_args](in rarray<double,1> Values(NNZ),
                    in rarray<int,1> Rows(RowsLength),
                    in rarray<int,1> Columns(NNZ),
                    in SparseStruct DataStruct,
                    in int RowsLength,
                    in int NNZ);
	
	int setupRHS(in rarray<double,1> RightHandSide(NumLocalRow),
		        in int NumLocalRow);
                
	int solve(inout rarray<double,1> Solution(NumLocalRow), 
			    inout rarray<double,1> Status(StatusLength),
			    in int NumLocalRow,
			    in int StatusLength);


	int set(in string key, in string value);
	int setInt(in string key, in int value);
	int setBool(in string key, in bool value);
	int setDouble(in string key, in double value);

	string get_all();

	}

}