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/*
   - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
   SLEPc - Scalable Library for Eigenvalue Problem Computations
   Copyright (c) 2002-2010, Universidad Politecnica de Valencia, Spain

   This file is part of SLEPc.
     
   SLEPc is free software: you can redistribute it and/or modify it under  the
   terms of version 3 of the GNU Lesser General Public License as published by
   the Free Software Foundation.

   SLEPc  is  distributed in the hope that it will be useful, but WITHOUT  ANY
   WARRANTY;  without even the implied warranty of MERCHANTABILITY or  FITNESS
   FOR  A  PARTICULAR PURPOSE. See the GNU Lesser General Public  License  for
   more details.

   You  should have received a copy of the GNU Lesser General  Public  License
   along with SLEPc. If not, see <http://www.gnu.org/licenses/>.
   - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
*/



#ifndef __MATDENSE_H
#define __MATDENSE_H

#include <slepcmatdense.h>

typedef struct _MatDenseOps *MatDenseOps;
struct _MatDenseOps {
  /* 0*/
  PetscErrorCode (*getarray)(MatDense,PetscScalar**);
  PetscErrorCode (*restorearray)(MatDense,PetscScalar**);
  PetscErrorCode (*getarrayread)(MatDense,const PetscScalar**);
  PetscErrorCode (*restorearrayread)(MatDense,const PetscScalar**);
  PetscErrorCode (*duplicate)(MatDense,MatDenseDuplicateOption,MatDense*);
  /* 5 */
  PetscErrorCode (*axpy)(MatDense,PetscScalar,MatDense);
  PetscErrorCode (*copy)(MatDense,MatDense);
  PetscErrorCode (*setexplicit)(MatDense);
  PetscErrorCode (*blas_axpy)(PetscInt,PetscScalar,MatDense,PetscInt,PetscInt,MatDense,PetscInt,PetscInt);
  PetscErrorCode (*blas_copy)(PetscInt,MatDense,PetscInt,PetscInt,MatDense,PetscInt,PetscInt);
  /* 10 */
  PetscErrorCode (*destroy)(MatDense);
  PetscErrorCode (*view)(MatDense,PetscViewer);
  PetscErrorCode (*setfromoptions)(MatDense);
  PetscErrorCode (*matmult)(MatDense,PetscScalar,PetscScalar,MatDense,PetscBool,MatDense,PetscBool);
  PetscErrorCode (*matmult_blas)(MatDense,PetscScalar,PetscScalar,MatDense,PetscBool,MatDense,PetscBool);
  /* 15 */
  PetscErrorCode (*setsizes)(MatDense,PetscInt,PetscInt,PetscInt,PetscInt);
  PetscErrorCode (*setuppreallocation)(MatDense);
  PetscErrorCode (*aresiblings)(MatDense,MatDense,PetscBool*);
  PetscErrorCode (*serialize)(MatDense,PetscInt*,PetscScalar*);
  PetscErrorCode (*deserialize)(MatDense,PetscInt,PetscScalar*);
  PetscErrorCode (*create)(MatDense);  
};

struct _p_MatDense {
  PETSCHEADER(struct _MatDenseOps);
  void                   *data;            /* implementation-specific data */
  PetscInt               ld;               /* Lapack leading dimension of data */
  PetscInt               Mmax,Nmax;        /* indicates the largest dimensions of data possible */
  PetscInt               m0,n0,m,n;        /* indicates the current displacement and dimensions */
  PetscBool              is_allocated;     /* indicates where is the last valid copy of the data */
  PetscBool              is_hermitian,is_triangular,is_impl; /* indicates properties of the matrix and how it is stored */
  PetscInt               matmult_buffersize;
                                           /* suggested size of the operator in bytes for storing the result in MatDenseMatMult_Siblings */
  PetscBool              use_impl;         /* indicates if optimized functions for Hermitian or triangular matrix will be used  */
  PetscBool              use_mpi_queue;    /* indicates if the synchronous MPI operations are queued */
  PetscInt               n_getarray;       /* number of unrestored GetArray operations */
  PetscBool              is_pending;       /* indicates if a reduction is been performing */
};

/*MC
   PetscObjectQueryPolymorphicFunction1 - Returns in R the best function for the
   operation F, considering the type of A.

   Synopsis:
   PetscObjectQueryPolymorphicFunction(PetscObject A,field,const char *N,void *(*R)(void),PetscBool err)

   Not Collective

   Input Parameters:
+  A - PetscObject that participate in the operation
.  field - name of the field in structure ops that contains the function pointer
.  N - name of routine
-  err - if PETSC_TRUE, PetscError is called when any function is found

   Output Parameters:
.  R - the function pointer

   Level: development

M*/

#define PetscObjectQueryPolymorphicFunction1(A,F,N,R,E) { \
  if ((A)->ops->F) { \
    *(R) = (A)->ops->F; \
  } else {  \
    /* dispatch based on the type of A and B */ \
    char           name[256]; \
    PetscInt       i; \
    PetscErrorCode ierr; \
    for (i=0, *(R)=PETSC_NULL; !*(R) && i<2; i++) { \
      ierr = PetscStrcpy(name,N "_");CHKERRQ(ierr); \
      if (i == 0) { ierr = PetscStrcat(name,((PetscObject)(A))->type_name);CHKERRQ(ierr); } \
      else { ierr = PetscStrcat(name,"*");CHKERRQ(ierr); } \
      ierr = PetscStrcat(name,"_C");CHKERRQ(ierr); /* e.g., multname = "MatMatMult_seqdense_seqaij_C" */ \
      ierr = PetscObjectQueryFunction((PetscObject)(A),name,(void (**)(void))(R));CHKERRQ(ierr); \
    } \
    if (!*(R) && (E) == PETSC_TRUE) SETERRQ1(((PetscObject)(A))->comm,PETSC_ERR_ARG_INCOMP,N " requires compatible matrix, instead of %s",((PetscObject)(A))->type_name); \
  } \
}




/*MC
   PetscObjectQueryPolymorphicFunction - Returns in R the best function for the
   operation F, considering the types of A and B.

   Synopsis:
   PetscObjectQueryPolymorphicFunction(PetscObject A,PetscObject B,field,const char *N,void *(*R)(void),PetscBool err)

   Not Collective

   Input Parameters:
+  A,B - PetscObjects that participate in the operation
.  field - name of the field in structure ops that contains the function pointer
.  N - name of routine
-  err - if PETSC_TRUE, PetscError is called when any function is found

   Output Parameters:
.  R - the function pointer

   Level: development

M*/

#define PetscObjectQueryPolymorphicFunction(A,B,F,N,R,E) { \
  if ((A)->ops->F == (B)->ops->F && (A)->ops->F) { \
    *(R) = (A)->ops->F; \
  } else {  \
    /* dispatch based on the type of A and B */ \
    char           name[256]; \
    PetscInt       i; \
    PetscErrorCode ierr; \
    for (i=0, *(R)=PETSC_NULL; !*(R) && i<3; i++) { \
      ierr = PetscStrcpy(name,N "_");CHKERRQ(ierr); \
      if (!(i & 1)) { ierr = PetscStrcat(name,((PetscObject)(A))->type_name);CHKERRQ(ierr); } \
      else { ierr = PetscStrcat(name,"*");CHKERRQ(ierr); } \
      ierr = PetscStrcat(name,"_");CHKERRQ(ierr); \
      if (!(i & 2)) { ierr = PetscStrcat(name,((PetscObject)(B))->type_name);CHKERRQ(ierr); } \
      else { ierr = PetscStrcat(name,"*");CHKERRQ(ierr); } \
      ierr = PetscStrcat(name,"_C");CHKERRQ(ierr); /* e.g., multname = "MatMatMult_seqdense_seqaij_C" */ \
      ierr = PetscObjectQueryFunction((PetscObject)(A),name,(void (**)(void))(R));CHKERRQ(ierr); \
      if (!*(R)) { \
        ierr = PetscObjectQueryFunction((PetscObject)(B),name,(void (**)(void))(R));CHKERRQ(ierr); \
      } \
    } \
    if (!*(R) && (E) == PETSC_TRUE) SETERRQ2(((PetscObject)(A))->comm,PETSC_ERR_ARG_INCOMP,N " requires compatible matrices, instead of %s and %s",((PetscObject)(A))->type_name,((PetscObject)(B))->type_name); \
  } \
}


PetscErrorCode  MatDensePerformReduction(MatDense A,MPI_Op op,PetscBool immediate);

#undef __FUNCT__  
#define __FUNCT__ "PetscCheckMatDenseForRead"
PETSC_STATIC_INLINE PetscErrorCode PetscCheckMatDenseForRead(MatDense A)
{
  PetscErrorCode  ierr;
  PetscFunctionBegin;
  if (!(A->is_allocated == PETSC_TRUE)) SETERRQ(((PetscObject)A)->comm,PETSC_ERR_ARG_WRONGSTATE,"Not for unassembled matrix");
  if (A->is_pending && A->n_getarray == 0) {
    ierr = MatDensePerformReduction(PETSC_NULL,PETSC_NULL,PETSC_TRUE);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__  
#define __FUNCT__ "PetscCheckMatDenseForWrite"
PETSC_STATIC_INLINE PetscErrorCode PetscCheckMatDenseForWrite(MatDense A)
{
  PetscErrorCode  ierr;
  ierr = MatDenseSetUpPreallocation(A);CHKERRQ(ierr);
  if (!(A->is_allocated == PETSC_TRUE)) SETERRQ(((PetscObject)A)->comm,PETSC_ERR_ARG_WRONGSTATE,"Not for unassembled matrix");
  if (A->is_pending && A->n_getarray == 0) {
    ierr = MatDensePerformReduction(PETSC_NULL,PETSC_NULL,PETSC_TRUE);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

#undef __FUNCT__  
#define __FUNCT__ "PetscCheckMatDenseForUpdate"
PETSC_STATIC_INLINE PetscErrorCode PetscCheckMatDenseForUpdate(MatDense A)
{
  PetscErrorCode  ierr;
  ierr = MatDenseSetUpPreallocation(A);CHKERRQ(ierr);
  if (!(A->is_allocated == PETSC_TRUE)) SETERRQ(((PetscObject)A)->comm,PETSC_ERR_ARG_WRONGSTATE,"Not for unassembled matrix");
  if (A->is_pending && A->n_getarray == 0) {
    ierr = MatDensePerformReduction(PETSC_NULL,PETSC_NULL,PETSC_TRUE);CHKERRQ(ierr);
  }
  PetscFunctionReturn(0);
}

#define MatDenseIsHermitian(A) (A->is_hermitian == PETSC_TRUE)
#define MatDenseIsTriangular(A) (A->is_triangular == PETSC_TRUE)
#define MatDenseIsImplicit(A) (A->is_impl == PETSC_TRUE)
#define MatDenseIsImplicitHermitian(A) (MatDenseIsHermitian(A) && MatDenseIsImplicit(A))
#define MatDenseIsExplicitHermitian(A) (MatDenseIsHermitian(A) && !MatDenseIsImplicit(A))
#define MatDenseIsImplicitTriangular(A) (MatDenseIsTriangular(A) && MatDenseIsImplicit(A))
#define MatDenseIsExplicitTriangular(A) (MatDenseIsTriangular(A) && !MatDenseIsImplicit(A))
#define MatDenseIsSimple(A) (!MatDenseIsHermitian(A) && !MatDenseIsTriangular(A))

PetscErrorCode MatDenseRegisterAll(const char *path);
extern PetscLogEvent    MATDENSE_Duplicate,MATDENSE_SetUpPreallocation,MATDENSE_MatMult,MATDENSE_Copy,MATDENSE_AXPY,MATDENSE_View,MATDENSE_Convert,MATDENSE_BlasMatMult;
#endif