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author | Alan Mishchenko <alanmi@berkeley.edu> | 2007-09-30 08:01:00 -0700 |
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committer | Alan Mishchenko <alanmi@berkeley.edu> | 2007-09-30 08:01:00 -0700 |
commit | e54d9691616b9a0326e2fdb3156bb4eeb8abfcd7 (patch) | |
tree | de3ffe87c3e17950351e3b7d97fa18318bd5ea9a /src/bdd/cudd/cuddLinear.c | |
parent | 7d7e60f2dc84393cd4c5db22d2eaf7b1fb1a79b2 (diff) | |
download | abc-e54d9691616b9a0326e2fdb3156bb4eeb8abfcd7.tar.gz abc-e54d9691616b9a0326e2fdb3156bb4eeb8abfcd7.tar.bz2 abc-e54d9691616b9a0326e2fdb3156bb4eeb8abfcd7.zip |
Version abc70930
Diffstat (limited to 'src/bdd/cudd/cuddLinear.c')
-rw-r--r-- | src/bdd/cudd/cuddLinear.c | 1333 |
1 files changed, 0 insertions, 1333 deletions
diff --git a/src/bdd/cudd/cuddLinear.c b/src/bdd/cudd/cuddLinear.c deleted file mode 100644 index 7f6b3678..00000000 --- a/src/bdd/cudd/cuddLinear.c +++ /dev/null @@ -1,1333 +0,0 @@ -/**CFile*********************************************************************** - - FileName [cuddLinear.c] - - PackageName [cudd] - - Synopsis [Functions for DD reduction by linear transformations.] - - Description [ Internal procedures included in this module: - <ul> - <li> cuddLinearAndSifting() - </ul> - Static procedures included in this module: - <ul> - <li> ddLinearUniqueCompare() - <li> ddLinearAndSiftingAux() - <li> ddLinearAndSiftingUp() - <li> ddLinearAndSiftingDown() - <li> ddLinearAndSiftingBackward() - <li> ddUndoMoves() - <li> ddUpdateInteractionMatrix() - <li> cuddLinearInPlace() - <li> cuddInitLinear() - <li> cuddResizeLinear() - <li> cuddXorLinear() - </ul>] - - Author [Fabio Somenzi] - - Copyright [This file was created at the University of Colorado at - Boulder. The University of Colorado at Boulder makes no warranty - about the suitability of this software for any purpose. It is - presented on an AS IS basis.] - -******************************************************************************/ - -#include "util_hack.h" -#include "cuddInt.h" - -/*---------------------------------------------------------------------------*/ -/* Constant declarations */ -/*---------------------------------------------------------------------------*/ - -#define CUDD_SWAP_MOVE 0 -#define CUDD_LINEAR_TRANSFORM_MOVE 1 -#define CUDD_INVERSE_TRANSFORM_MOVE 2 -#if SIZEOF_LONG == 8 -#define BPL 64 -#define LOGBPL 6 -#else -#define BPL 32 -#define LOGBPL 5 -#endif - -/*---------------------------------------------------------------------------*/ -/* Stucture declarations */ -/*---------------------------------------------------------------------------*/ - -/*---------------------------------------------------------------------------*/ -/* Type declarations */ -/*---------------------------------------------------------------------------*/ - -/*---------------------------------------------------------------------------*/ -/* Variable declarations */ -/*---------------------------------------------------------------------------*/ - -#ifndef lint -static char rcsid[] DD_UNUSED = "$Id: cuddLinear.c,v 1.1.1.1 2003/02/24 22:23:52 wjiang Exp $"; -#endif - -static int *entry; - -#ifdef DD_STATS -extern int ddTotalNumberSwapping; -extern int ddTotalNISwaps; -static int ddTotalNumberLinearTr; -#endif - -#ifdef DD_DEBUG -static int zero = 0; -#endif - -/*---------------------------------------------------------------------------*/ -/* Macro declarations */ -/*---------------------------------------------------------------------------*/ - -/**AutomaticStart*************************************************************/ - -/*---------------------------------------------------------------------------*/ -/* Static function prototypes */ -/*---------------------------------------------------------------------------*/ - -static int ddLinearUniqueCompare ARGS((int *ptrX, int *ptrY)); -static int ddLinearAndSiftingAux ARGS((DdManager *table, int x, int xLow, int xHigh)); -static Move * ddLinearAndSiftingUp ARGS((DdManager *table, int y, int xLow, Move *prevMoves)); -static Move * ddLinearAndSiftingDown ARGS((DdManager *table, int x, int xHigh, Move *prevMoves)); -static int ddLinearAndSiftingBackward ARGS((DdManager *table, int size, Move *moves)); -static Move* ddUndoMoves ARGS((DdManager *table, Move *moves)); -static int cuddLinearInPlace ARGS((DdManager *table, int x, int y)); -static void ddUpdateInteractionMatrix ARGS((DdManager *table, int xindex, int yindex)); -static int cuddInitLinear ARGS((DdManager *table)); -static int cuddResizeLinear ARGS((DdManager *table)); -static void cuddXorLinear ARGS((DdManager *table, int x, int y)); - -/**AutomaticEnd***************************************************************/ - - -/*---------------------------------------------------------------------------*/ -/* Definition of exported functions */ -/*---------------------------------------------------------------------------*/ - - -/**Function******************************************************************** - - Synopsis [Prints the linear transform matrix.] - - Description [Prints the linear transform matrix. Returns 1 in case of - success; 0 otherwise.] - - SideEffects [none] - - SeeAlso [] - -******************************************************************************/ -int -Cudd_PrintLinear( - DdManager * table) -{ - int i,j,k; - int retval; - int nvars = table->linearSize; - int wordsPerRow = ((nvars - 1) >> LOGBPL) + 1; - long word; - - for (i = 0; i < nvars; i++) { - for (j = 0; j < wordsPerRow; j++) { - word = table->linear[i*wordsPerRow + j]; - for (k = 0; k < BPL; k++) { - retval = fprintf(table->out,"%ld",word & 1); - if (retval == 0) return(0); - word >>= 1; - } - } - retval = fprintf(table->out,"\n"); - if (retval == 0) return(0); - } - return(1); - -} /* end of Cudd_PrintLinear */ - - -/**Function******************************************************************** - - Synopsis [Reads an entry of the linear transform matrix.] - - Description [Reads an entry of the linear transform matrix.] - - SideEffects [none] - - SeeAlso [] - -******************************************************************************/ -int -Cudd_ReadLinear( - DdManager * table /* CUDD manager */, - int x /* row index */, - int y /* column index */) -{ - int nvars = table->size; - int wordsPerRow = ((nvars - 1) >> LOGBPL) + 1; - long word; - int bit; - int result; - - assert(table->size == table->linearSize); - - word = wordsPerRow * x + (y >> LOGBPL); - bit = y & (BPL-1); - result = (int) ((table->linear[word] >> bit) & 1); - return(result); - -} /* end of Cudd_ReadLinear */ - - -/*---------------------------------------------------------------------------*/ -/* Definition of internal functions */ -/*---------------------------------------------------------------------------*/ - - -/**Function******************************************************************** - - Synopsis [BDD reduction based on combination of sifting and linear - transformations.] - - Description [BDD reduction based on combination of sifting and linear - transformations. Assumes that no dead nodes are present. - <ol> - <li> Order all the variables according to the number of entries - in each unique table. - <li> Sift the variable up and down, remembering each time the - total size of the DD heap. At each position, linear transformation - of the two adjacent variables is tried and is accepted if it reduces - the size of the DD. - <li> Select the best permutation. - <li> Repeat 3 and 4 for all variables. - </ol> - Returns 1 if successful; 0 otherwise.] - - SideEffects [None] - -******************************************************************************/ -int -cuddLinearAndSifting( - DdManager * table, - int lower, - int upper) -{ - int i; - int *var; - int size; - int x; - int result; -#ifdef DD_STATS - int previousSize; -#endif - -#ifdef DD_STATS - ddTotalNumberLinearTr = 0; -#endif - - size = table->size; - - var = NULL; - entry = NULL; - if (table->linear == NULL) { - result = cuddInitLinear(table); - if (result == 0) goto cuddLinearAndSiftingOutOfMem; -#if 0 - (void) fprintf(table->out,"\n"); - result = Cudd_PrintLinear(table); - if (result == 0) goto cuddLinearAndSiftingOutOfMem; -#endif - } else if (table->size != table->linearSize) { - result = cuddResizeLinear(table); - if (result == 0) goto cuddLinearAndSiftingOutOfMem; -#if 0 - (void) fprintf(table->out,"\n"); - result = Cudd_PrintLinear(table); - if (result == 0) goto cuddLinearAndSiftingOutOfMem; -#endif - } - - /* Find order in which to sift variables. */ - entry = ALLOC(int,size); - if (entry == NULL) { - table->errorCode = CUDD_MEMORY_OUT; - goto cuddLinearAndSiftingOutOfMem; - } - var = ALLOC(int,size); - if (var == NULL) { - table->errorCode = CUDD_MEMORY_OUT; - goto cuddLinearAndSiftingOutOfMem; - } - - for (i = 0; i < size; i++) { - x = table->perm[i]; - entry[i] = table->subtables[x].keys; - var[i] = i; - } - - qsort((void *)var,size,sizeof(int),(int (*)(const void *, const void *))ddLinearUniqueCompare); - - /* Now sift. */ - for (i = 0; i < ddMin(table->siftMaxVar,size); i++) { - x = table->perm[var[i]]; - if (x < lower || x > upper) continue; -#ifdef DD_STATS - previousSize = table->keys - table->isolated; -#endif - result = ddLinearAndSiftingAux(table,x,lower,upper); - if (!result) goto cuddLinearAndSiftingOutOfMem; -#ifdef DD_STATS - if (table->keys < (unsigned) previousSize + table->isolated) { - (void) fprintf(table->out,"-"); - } else if (table->keys > (unsigned) previousSize + table->isolated) { - (void) fprintf(table->out,"+"); /* should never happen */ - (void) fprintf(table->out,"\nSize increased from %d to %d while sifting variable %d\n", previousSize, table->keys - table->isolated, var[i]); - } else { - (void) fprintf(table->out,"="); - } - fflush(table->out); -#endif -#ifdef DD_DEBUG - (void) Cudd_DebugCheck(table); -#endif - } - - FREE(var); - FREE(entry); - -#ifdef DD_STATS - (void) fprintf(table->out,"\n#:L_LINSIFT %8d: linear trans.", - ddTotalNumberLinearTr); -#endif - - return(1); - -cuddLinearAndSiftingOutOfMem: - - if (entry != NULL) FREE(entry); - if (var != NULL) FREE(var); - - return(0); - -} /* end of cuddLinearAndSifting */ - - -/*---------------------------------------------------------------------------*/ -/* Definition of static functions */ -/*---------------------------------------------------------------------------*/ - - -/**Function******************************************************************** - - Synopsis [Comparison function used by qsort.] - - Description [Comparison function used by qsort to order the - variables according to the number of keys in the subtables. - Returns the difference in number of keys between the two - variables being compared.] - - SideEffects [None] - -******************************************************************************/ -static int -ddLinearUniqueCompare( - int * ptrX, - int * ptrY) -{ -#if 0 - if (entry[*ptrY] == entry[*ptrX]) { - return((*ptrX) - (*ptrY)); - } -#endif - return(entry[*ptrY] - entry[*ptrX]); - -} /* end of ddLinearUniqueCompare */ - - -/**Function******************************************************************** - - Synopsis [Given xLow <= x <= xHigh moves x up and down between the - boundaries.] - - Description [Given xLow <= x <= xHigh moves x up and down between the - boundaries. At each step a linear transformation is tried, and, if it - decreases the size of the DD, it is accepted. Finds the best position - and does the required changes. Returns 1 if successful; 0 otherwise.] - - SideEffects [None] - -******************************************************************************/ -static int -ddLinearAndSiftingAux( - DdManager * table, - int x, - int xLow, - int xHigh) -{ - - Move *move; - Move *moveUp; /* list of up moves */ - Move *moveDown; /* list of down moves */ - int initialSize; - int result; - - initialSize = table->keys - table->isolated; - - moveDown = NULL; - moveUp = NULL; - - if (x == xLow) { - moveDown = ddLinearAndSiftingDown(table,x,xHigh,NULL); - /* At this point x --> xHigh unless bounding occurred. */ - if (moveDown == (Move *) CUDD_OUT_OF_MEM) goto ddLinearAndSiftingAuxOutOfMem; - /* Move backward and stop at best position. */ - result = ddLinearAndSiftingBackward(table,initialSize,moveDown); - if (!result) goto ddLinearAndSiftingAuxOutOfMem; - - } else if (x == xHigh) { - moveUp = ddLinearAndSiftingUp(table,x,xLow,NULL); - /* At this point x --> xLow unless bounding occurred. */ - if (moveUp == (Move *) CUDD_OUT_OF_MEM) goto ddLinearAndSiftingAuxOutOfMem; - /* Move backward and stop at best position. */ - result = ddLinearAndSiftingBackward(table,initialSize,moveUp); - if (!result) goto ddLinearAndSiftingAuxOutOfMem; - - } else if ((x - xLow) > (xHigh - x)) { /* must go down first: shorter */ - moveDown = ddLinearAndSiftingDown(table,x,xHigh,NULL); - /* At this point x --> xHigh unless bounding occurred. */ - if (moveDown == (Move *) CUDD_OUT_OF_MEM) goto ddLinearAndSiftingAuxOutOfMem; - moveUp = ddUndoMoves(table,moveDown); -#ifdef DD_DEBUG - assert(moveUp == NULL || moveUp->x == x); -#endif - moveUp = ddLinearAndSiftingUp(table,x,xLow,moveUp); - if (moveUp == (Move *) CUDD_OUT_OF_MEM) goto ddLinearAndSiftingAuxOutOfMem; - /* Move backward and stop at best position. */ - result = ddLinearAndSiftingBackward(table,initialSize,moveUp); - if (!result) goto ddLinearAndSiftingAuxOutOfMem; - - } else { /* must go up first: shorter */ - moveUp = ddLinearAndSiftingUp(table,x,xLow,NULL); - /* At this point x --> xLow unless bounding occurred. */ - if (moveUp == (Move *) CUDD_OUT_OF_MEM) goto ddLinearAndSiftingAuxOutOfMem; - moveDown = ddUndoMoves(table,moveUp); -#ifdef DD_DEBUG - assert(moveDown == NULL || moveDown->y == x); -#endif - moveDown = ddLinearAndSiftingDown(table,x,xHigh,moveDown); - if (moveDown == (Move *) CUDD_OUT_OF_MEM) goto ddLinearAndSiftingAuxOutOfMem; - /* Move backward and stop at best position. */ - result = ddLinearAndSiftingBackward(table,initialSize,moveDown); - if (!result) goto ddLinearAndSiftingAuxOutOfMem; - } - - while (moveDown != NULL) { - move = moveDown->next; - cuddDeallocNode(table, (DdNode *) moveDown); - moveDown = move; - } - while (moveUp != NULL) { - move = moveUp->next; - cuddDeallocNode(table, (DdNode *) moveUp); - moveUp = move; - } - - return(1); - -ddLinearAndSiftingAuxOutOfMem: - while (moveDown != NULL) { - move = moveDown->next; - cuddDeallocNode(table, (DdNode *) moveDown); - moveDown = move; - } - while (moveUp != NULL) { - move = moveUp->next; - cuddDeallocNode(table, (DdNode *) moveUp); - moveUp = move; - } - - return(0); - -} /* end of ddLinearAndSiftingAux */ - - -/**Function******************************************************************** - - Synopsis [Sifts a variable up and applies linear transformations.] - - Description [Sifts a variable up and applies linear transformations. - Moves y up until either it reaches the bound (xLow) or the size of - the DD heap increases too much. Returns the set of moves in case of - success; NULL if memory is full.] - - SideEffects [None] - -******************************************************************************/ -static Move * -ddLinearAndSiftingUp( - DdManager * table, - int y, - int xLow, - Move * prevMoves) -{ - Move *moves; - Move *move; - int x; - int size, newsize; - int limitSize; - int xindex, yindex; - int isolated; - int L; /* lower bound on DD size */ -#ifdef DD_DEBUG - int checkL; - int z; - int zindex; -#endif - - moves = prevMoves; - yindex = table->invperm[y]; - - /* Initialize the lower bound. - ** The part of the DD below y will not change. - ** The part of the DD above y that does not interact with y will not - ** change. The rest may vanish in the best case, except for - ** the nodes at level xLow, which will not vanish, regardless. - */ - limitSize = L = table->keys - table->isolated; - for (x = xLow + 1; x < y; x++) { - xindex = table->invperm[x]; - if (cuddTestInteract(table,xindex,yindex)) { - isolated = table->vars[xindex]->ref == 1; - L -= table->subtables[x].keys - isolated; - } - } - isolated = table->vars[yindex]->ref == 1; - L -= table->subtables[y].keys - isolated; - - x = cuddNextLow(table,y); - while (x >= xLow && L <= limitSize) { - xindex = table->invperm[x]; -#ifdef DD_DEBUG - checkL = table->keys - table->isolated; - for (z = xLow + 1; z < y; z++) { - zindex = table->invperm[z]; - if (cuddTestInteract(table,zindex,yindex)) { - isolated = table->vars[zindex]->ref == 1; - checkL -= table->subtables[z].keys - isolated; - } - } - isolated = table->vars[yindex]->ref == 1; - checkL -= table->subtables[y].keys - isolated; - if (L != checkL) { - (void) fprintf(table->out, "checkL(%d) != L(%d)\n",checkL,L); - } -#endif - size = cuddSwapInPlace(table,x,y); - if (size == 0) goto ddLinearAndSiftingUpOutOfMem; - newsize = cuddLinearInPlace(table,x,y); - if (newsize == 0) goto ddLinearAndSiftingUpOutOfMem; - move = (Move *) cuddDynamicAllocNode(table); - if (move == NULL) goto ddLinearAndSiftingUpOutOfMem; - move->x = x; - move->y = y; - move->next = moves; - moves = move; - move->flags = CUDD_SWAP_MOVE; - if (newsize >= size) { - /* Undo transformation. The transformation we apply is - ** its own inverse. Hence, we just apply the transformation - ** again. - */ - newsize = cuddLinearInPlace(table,x,y); - if (newsize == 0) goto ddLinearAndSiftingUpOutOfMem; -#ifdef DD_DEBUG - if (newsize != size) { - (void) fprintf(table->out,"Change in size after identity transformation! From %d to %d\n",size,newsize); - } -#endif - } else if (cuddTestInteract(table,xindex,yindex)) { - size = newsize; - move->flags = CUDD_LINEAR_TRANSFORM_MOVE; - ddUpdateInteractionMatrix(table,xindex,yindex); - } - move->size = size; - /* Update the lower bound. */ - if (cuddTestInteract(table,xindex,yindex)) { - isolated = table->vars[xindex]->ref == 1; - L += table->subtables[y].keys - isolated; - } - if ((double) size > (double) limitSize * table->maxGrowth) break; - if (size < limitSize) limitSize = size; - y = x; - x = cuddNextLow(table,y); - } - return(moves); - -ddLinearAndSiftingUpOutOfMem: - while (moves != NULL) { - move = moves->next; - cuddDeallocNode(table, (DdNode *) moves); - moves = move; - } - return((Move *) CUDD_OUT_OF_MEM); - -} /* end of ddLinearAndSiftingUp */ - - -/**Function******************************************************************** - - Synopsis [Sifts a variable down and applies linear transformations.] - - Description [Sifts a variable down and applies linear - transformations. Moves x down until either it reaches the bound - (xHigh) or the size of the DD heap increases too much. Returns the - set of moves in case of success; NULL if memory is full.] - - SideEffects [None] - -******************************************************************************/ -static Move * -ddLinearAndSiftingDown( - DdManager * table, - int x, - int xHigh, - Move * prevMoves) -{ - Move *moves; - Move *move; - int y; - int size, newsize; - int R; /* upper bound on node decrease */ - int limitSize; - int xindex, yindex; - int isolated; -#ifdef DD_DEBUG - int checkR; - int z; - int zindex; -#endif - - moves = prevMoves; - /* Initialize R */ - xindex = table->invperm[x]; - limitSize = size = table->keys - table->isolated; - R = 0; - for (y = xHigh; y > x; y--) { - yindex = table->invperm[y]; - if (cuddTestInteract(table,xindex,yindex)) { - isolated = table->vars[yindex]->ref == 1; - R += table->subtables[y].keys - isolated; - } - } - - y = cuddNextHigh(table,x); - while (y <= xHigh && size - R < limitSize) { -#ifdef DD_DEBUG - checkR = 0; - for (z = xHigh; z > x; z--) { - zindex = table->invperm[z]; - if (cuddTestInteract(table,xindex,zindex)) { - isolated = table->vars[zindex]->ref == 1; - checkR += table->subtables[z].keys - isolated; - } - } - if (R != checkR) { - (void) fprintf(table->out, "checkR(%d) != R(%d)\n",checkR,R); - } -#endif - /* Update upper bound on node decrease. */ - yindex = table->invperm[y]; - if (cuddTestInteract(table,xindex,yindex)) { - isolated = table->vars[yindex]->ref == 1; - R -= table->subtables[y].keys - isolated; - } - size = cuddSwapInPlace(table,x,y); - if (size == 0) goto ddLinearAndSiftingDownOutOfMem; - newsize = cuddLinearInPlace(table,x,y); - if (newsize == 0) goto ddLinearAndSiftingDownOutOfMem; - move = (Move *) cuddDynamicAllocNode(table); - if (move == NULL) goto ddLinearAndSiftingDownOutOfMem; - move->x = x; - move->y = y; - move->next = moves; - moves = move; - move->flags = CUDD_SWAP_MOVE; - if (newsize >= size) { - /* Undo transformation. The transformation we apply is - ** its own inverse. Hence, we just apply the transformation - ** again. - */ - newsize = cuddLinearInPlace(table,x,y); - if (newsize == 0) goto ddLinearAndSiftingDownOutOfMem; - if (newsize != size) { - (void) fprintf(table->out,"Change in size after identity transformation! From %d to %d\n",size,newsize); - } - } else if (cuddTestInteract(table,xindex,yindex)) { - size = newsize; - move->flags = CUDD_LINEAR_TRANSFORM_MOVE; - ddUpdateInteractionMatrix(table,xindex,yindex); - } - move->size = size; - if ((double) size > (double) limitSize * table->maxGrowth) break; - if (size < limitSize) limitSize = size; - x = y; - y = cuddNextHigh(table,x); - } - return(moves); - -ddLinearAndSiftingDownOutOfMem: - while (moves != NULL) { - move = moves->next; - cuddDeallocNode(table, (DdNode *) moves); - moves = move; - } - return((Move *) CUDD_OUT_OF_MEM); - -} /* end of ddLinearAndSiftingDown */ - - -/**Function******************************************************************** - - Synopsis [Given a set of moves, returns the DD heap to the order - giving the minimum size.] - - Description [Given a set of moves, returns the DD heap to the - position giving the minimum size. In case of ties, returns to the - closest position giving the minimum size. Returns 1 in case of - success; 0 otherwise.] - - SideEffects [None] - -******************************************************************************/ -static int -ddLinearAndSiftingBackward( - DdManager * table, - int size, - Move * moves) -{ - Move *move; - int res; - - for (move = moves; move != NULL; move = move->next) { - if (move->size < size) { - size = move->size; - } - } - - for (move = moves; move != NULL; move = move->next) { - if (move->size == size) return(1); - if (move->flags == CUDD_LINEAR_TRANSFORM_MOVE) { - res = cuddLinearInPlace(table,(int)move->x,(int)move->y); - if (!res) return(0); - } - res = cuddSwapInPlace(table,(int)move->x,(int)move->y); - if (!res) return(0); - if (move->flags == CUDD_INVERSE_TRANSFORM_MOVE) { - res = cuddLinearInPlace(table,(int)move->x,(int)move->y); - if (!res) return(0); - } - } - - return(1); - -} /* end of ddLinearAndSiftingBackward */ - - -/**Function******************************************************************** - - Synopsis [Given a set of moves, returns the DD heap to the order - in effect before the moves.] - - Description [Given a set of moves, returns the DD heap to the - order in effect before the moves. Returns 1 in case of success; - 0 otherwise.] - - SideEffects [None] - -******************************************************************************/ -static Move* -ddUndoMoves( - DdManager * table, - Move * moves) -{ - Move *invmoves = NULL; - Move *move; - Move *invmove; - int size; - - for (move = moves; move != NULL; move = move->next) { - invmove = (Move *) cuddDynamicAllocNode(table); - if (invmove == NULL) goto ddUndoMovesOutOfMem; - invmove->x = move->x; - invmove->y = move->y; - invmove->next = invmoves; - invmoves = invmove; - if (move->flags == CUDD_SWAP_MOVE) { - invmove->flags = CUDD_SWAP_MOVE; - size = cuddSwapInPlace(table,(int)move->x,(int)move->y); - if (!size) goto ddUndoMovesOutOfMem; - } else if (move->flags == CUDD_LINEAR_TRANSFORM_MOVE) { - invmove->flags = CUDD_INVERSE_TRANSFORM_MOVE; - size = cuddLinearInPlace(table,(int)move->x,(int)move->y); - if (!size) goto ddUndoMovesOutOfMem; - size = cuddSwapInPlace(table,(int)move->x,(int)move->y); - if (!size) goto ddUndoMovesOutOfMem; - } else { /* must be CUDD_INVERSE_TRANSFORM_MOVE */ -#ifdef DD_DEBUG - (void) fprintf(table->err,"Unforseen event in ddUndoMoves!\n"); -#endif - invmove->flags = CUDD_LINEAR_TRANSFORM_MOVE; - size = cuddSwapInPlace(table,(int)move->x,(int)move->y); - if (!size) goto ddUndoMovesOutOfMem; - size = cuddLinearInPlace(table,(int)move->x,(int)move->y); - if (!size) goto ddUndoMovesOutOfMem; - } - invmove->size = size; - } - - return(invmoves); - -ddUndoMovesOutOfMem: - while (invmoves != NULL) { - move = invmoves->next; - cuddDeallocNode(table, (DdNode *) invmoves); - invmoves = move; - } - return((Move *) CUDD_OUT_OF_MEM); - -} /* end of ddUndoMoves */ - - -/**Function******************************************************************** - - Synopsis [Linearly combines two adjacent variables.] - - Description [Linearly combines two adjacent variables. Specifically, - replaces the top variable with the exclusive nor of the two variables. - It assumes that no dead nodes are present on entry to this - procedure. The procedure then guarantees that no dead nodes will be - present when it terminates. cuddLinearInPlace assumes that x < - y. Returns the number of keys in the table if successful; 0 - otherwise.] - - SideEffects [The two subtables corrresponding to variables x and y are - modified. The global counters of the unique table are also affected.] - - SeeAlso [cuddSwapInPlace] - -******************************************************************************/ -static int -cuddLinearInPlace( - DdManager * table, - int x, - int y) -{ - DdNodePtr *xlist, *ylist; - int xindex, yindex; - int xslots, yslots; - int xshift, yshift; - int oldxkeys, oldykeys; - int newxkeys, newykeys; - int comple, newcomplement; - int i; - int posn; - int isolated; - DdNode *f,*f0,*f1,*f01,*f00,*f11,*f10,*newf1,*newf0; - DdNode *g,*next,*last; - DdNodePtr *previousP; - DdNode *tmp; - DdNode *sentinel = &(table->sentinel); -#if DD_DEBUG - int count, idcheck; -#endif - -#ifdef DD_DEBUG - assert(x < y); - assert(cuddNextHigh(table,x) == y); - assert(table->subtables[x].keys != 0); - assert(table->subtables[y].keys != 0); - assert(table->subtables[x].dead == 0); - assert(table->subtables[y].dead == 0); -#endif - - xindex = table->invperm[x]; - yindex = table->invperm[y]; - - if (cuddTestInteract(table,xindex,yindex)) { -#ifdef DD_STATS - ddTotalNumberLinearTr++; -#endif - /* Get parameters of x subtable. */ - xlist = table->subtables[x].nodelist; - oldxkeys = table->subtables[x].keys; - xslots = table->subtables[x].slots; - xshift = table->subtables[x].shift; - - /* Get parameters of y subtable. */ - ylist = table->subtables[y].nodelist; - oldykeys = table->subtables[y].keys; - yslots = table->subtables[y].slots; - yshift = table->subtables[y].shift; - - newxkeys = 0; - newykeys = oldykeys; - - /* Check whether the two projection functions involved in this - ** swap are isolated. At the end, we'll be able to tell how many - ** isolated projection functions are there by checking only these - ** two functions again. This is done to eliminate the isolated - ** projection functions from the node count. - */ - isolated = - ((table->vars[xindex]->ref == 1) + - (table->vars[yindex]->ref == 1)); - - /* The nodes in the x layer are put in a chain. - ** The chain is handled as a FIFO; g points to the beginning and - ** last points to the end. - */ - g = NULL; - for (i = 0; i < xslots; i++) { - f = xlist[i]; - if (f == sentinel) continue; - xlist[i] = sentinel; - if (g == NULL) { - g = f; - } else { - last->next = f; - } - while ((next = f->next) != sentinel) { - f = next; - } /* while there are elements in the collision chain */ - last = f; - } /* for each slot of the x subtable */ - last->next = NULL; - -#ifdef DD_COUNT - table->swapSteps += oldxkeys; -#endif - /* Take care of the x nodes that must be re-expressed. - ** They form a linked list pointed by g. - */ - f = g; - while (f != NULL) { - next = f->next; - /* Find f1, f0, f11, f10, f01, f00. */ - f1 = cuddT(f); -#ifdef DD_DEBUG - assert(!(Cudd_IsComplement(f1))); -#endif - if ((int) f1->index == yindex) { - f11 = cuddT(f1); f10 = cuddE(f1); - } else { - f11 = f10 = f1; - } -#ifdef DD_DEBUG - assert(!(Cudd_IsComplement(f11))); -#endif - f0 = cuddE(f); - comple = Cudd_IsComplement(f0); - f0 = Cudd_Regular(f0); - if ((int) f0->index == yindex) { - f01 = cuddT(f0); f00 = cuddE(f0); - } else { - f01 = f00 = f0; - } - if (comple) { - f01 = Cudd_Not(f01); - f00 = Cudd_Not(f00); - } - /* Decrease ref count of f1. */ - cuddSatDec(f1->ref); - /* Create the new T child. */ - if (f11 == f00) { - newf1 = f11; - cuddSatInc(newf1->ref); - } else { - /* Check ylist for triple (yindex,f11,f00). */ - posn = ddHash(f11, f00, yshift); - /* For each element newf1 in collision list ylist[posn]. */ - previousP = &(ylist[posn]); - newf1 = *previousP; - while (f11 < cuddT(newf1)) { - previousP = &(newf1->next); - newf1 = *previousP; - } - while (f11 == cuddT(newf1) && f00 < cuddE(newf1)) { - previousP = &(newf1->next); - newf1 = *previousP; - } - if (cuddT(newf1) == f11 && cuddE(newf1) == f00) { - cuddSatInc(newf1->ref); - } else { /* no match */ - newf1 = cuddDynamicAllocNode(table); - if (newf1 == NULL) - goto cuddLinearOutOfMem; - newf1->index = yindex; newf1->ref = 1; - cuddT(newf1) = f11; - cuddE(newf1) = f00; - /* Insert newf1 in the collision list ylist[posn]; - ** increase the ref counts of f11 and f00. - */ - newykeys++; - newf1->next = *previousP; - *previousP = newf1; - cuddSatInc(f11->ref); - tmp = Cudd_Regular(f00); - cuddSatInc(tmp->ref); - } - } - cuddT(f) = newf1; -#ifdef DD_DEBUG - assert(!(Cudd_IsComplement(newf1))); -#endif - - /* Do the same for f0, keeping complement dots into account. */ - /* decrease ref count of f0 */ - tmp = Cudd_Regular(f0); - cuddSatDec(tmp->ref); - /* create the new E child */ - if (f01 == f10) { - newf0 = f01; - tmp = Cudd_Regular(newf0); - cuddSatInc(tmp->ref); - } else { - /* make sure f01 is regular */ - newcomplement = Cudd_IsComplement(f01); - if (newcomplement) { - f01 = Cudd_Not(f01); - f10 = Cudd_Not(f10); - } - /* Check ylist for triple (yindex,f01,f10). */ - posn = ddHash(f01, f10, yshift); - /* For each element newf0 in collision list ylist[posn]. */ - previousP = &(ylist[posn]); - newf0 = *previousP; - while (f01 < cuddT(newf0)) { - previousP = &(newf0->next); - newf0 = *previousP; - } - while (f01 == cuddT(newf0) && f10 < cuddE(newf0)) { - previousP = &(newf0->next); - newf0 = *previousP; - } - if (cuddT(newf0) == f01 && cuddE(newf0) == f10) { - cuddSatInc(newf0->ref); - } else { /* no match */ - newf0 = cuddDynamicAllocNode(table); - if (newf0 == NULL) - goto cuddLinearOutOfMem; - newf0->index = yindex; newf0->ref = 1; - cuddT(newf0) = f01; - cuddE(newf0) = f10; - /* Insert newf0 in the collision list ylist[posn]; - ** increase the ref counts of f01 and f10. - */ - newykeys++; - newf0->next = *previousP; - *previousP = newf0; - cuddSatInc(f01->ref); - tmp = Cudd_Regular(f10); - cuddSatInc(tmp->ref); - } - if (newcomplement) { - newf0 = Cudd_Not(newf0); - } - } - cuddE(f) = newf0; - - /* Re-insert the modified f in xlist. - ** The modified f does not already exists in xlist. - ** (Because of the uniqueness of the cofactors.) - */ - posn = ddHash(newf1, newf0, xshift); - newxkeys++; - previousP = &(xlist[posn]); - tmp = *previousP; - while (newf1 < cuddT(tmp)) { - previousP = &(tmp->next); - tmp = *previousP; - } - while (newf1 == cuddT(tmp) && newf0 < cuddE(tmp)) { - previousP = &(tmp->next); - tmp = *previousP; - } - f->next = *previousP; - *previousP = f; - f = next; - } /* while f != NULL */ - - /* GC the y layer. */ - - /* For each node f in ylist. */ - for (i = 0; i < yslots; i++) { - previousP = &(ylist[i]); - f = *previousP; - while (f != sentinel) { - next = f->next; - if (f->ref == 0) { - tmp = cuddT(f); - cuddSatDec(tmp->ref); - tmp = Cudd_Regular(cuddE(f)); - cuddSatDec(tmp->ref); - cuddDeallocNode(table,f); - newykeys--; - } else { - *previousP = f; - previousP = &(f->next); - } - f = next; - } /* while f */ - *previousP = sentinel; - } /* for every collision list */ - -#if DD_DEBUG -#if 0 - (void) fprintf(table->out,"Linearly combining %d and %d\n",x,y); -#endif - count = 0; - idcheck = 0; - for (i = 0; i < yslots; i++) { - f = ylist[i]; - while (f != sentinel) { - count++; - if (f->index != (DdHalfWord) yindex) - idcheck++; - f = f->next; - } - } - if (count != newykeys) { - fprintf(table->err,"Error in finding newykeys\toldykeys = %d\tnewykeys = %d\tactual = %d\n",oldykeys,newykeys,count); - } - if (idcheck != 0) - fprintf(table->err,"Error in id's of ylist\twrong id's = %d\n",idcheck); - count = 0; - idcheck = 0; - for (i = 0; i < xslots; i++) { - f = xlist[i]; - while (f != sentinel) { - count++; - if (f->index != (DdHalfWord) xindex) - idcheck++; - f = f->next; - } - } - if (count != newxkeys || newxkeys != oldxkeys) { - fprintf(table->err,"Error in finding newxkeys\toldxkeys = %d \tnewxkeys = %d \tactual = %d\n",oldxkeys,newxkeys,count); - } - if (idcheck != 0) - fprintf(table->err,"Error in id's of xlist\twrong id's = %d\n",idcheck); -#endif - - isolated += (table->vars[xindex]->ref == 1) + - (table->vars[yindex]->ref == 1); - table->isolated += isolated; - - /* Set the appropriate fields in table. */ - table->subtables[y].keys = newykeys; - - /* Here we should update the linear combination table - ** to record that x <- x EXNOR y. This is done by complementing - ** the (x,y) entry of the table. - */ - - table->keys += newykeys - oldykeys; - - cuddXorLinear(table,xindex,yindex); - } - -#ifdef DD_DEBUG - if (zero) { - (void) Cudd_DebugCheck(table); - } -#endif - - return(table->keys - table->isolated); - -cuddLinearOutOfMem: - (void) fprintf(table->err,"Error: cuddLinearInPlace out of memory\n"); - - return (0); - -} /* end of cuddLinearInPlace */ - - -/**Function******************************************************************** - - Synopsis [Updates the interaction matrix.] - - Description [] - - SideEffects [none] - - SeeAlso [] - -******************************************************************************/ -static void -ddUpdateInteractionMatrix( - DdManager * table, - int xindex, - int yindex) -{ - int i; - for (i = 0; i < yindex; i++) { - if (i != xindex && cuddTestInteract(table,i,yindex)) { - if (i < xindex) { - cuddSetInteract(table,i,xindex); - } else { - cuddSetInteract(table,xindex,i); - } - } - } - for (i = yindex+1; i < table->size; i++) { - if (i != xindex && cuddTestInteract(table,yindex,i)) { - if (i < xindex) { - cuddSetInteract(table,i,xindex); - } else { - cuddSetInteract(table,xindex,i); - } - } - } - -} /* end of ddUpdateInteractionMatrix */ - - -/**Function******************************************************************** - - Synopsis [Initializes the linear transform matrix.] - - Description [] - - SideEffects [none] - - SeeAlso [] - -******************************************************************************/ -static int -cuddInitLinear( - DdManager * table) -{ - int words; - int wordsPerRow; - int nvars; - int word; - int bit; - int i; - long *linear; - - nvars = table->size; - wordsPerRow = ((nvars - 1) >> LOGBPL) + 1; - words = wordsPerRow * nvars; - table->linear = linear = ALLOC(long,words); - if (linear == NULL) { - table->errorCode = CUDD_MEMORY_OUT; - return(0); - } - table->memused += words * sizeof(long); - table->linearSize = nvars; - for (i = 0; i < words; i++) linear[i] = 0; - for (i = 0; i < nvars; i++) { - word = wordsPerRow * i + (i >> LOGBPL); - bit = i & (BPL-1); - linear[word] = 1 << bit; - } - return(1); - -} /* end of cuddInitLinear */ - - -/**Function******************************************************************** - - Synopsis [Resizes the linear transform matrix.] - - Description [] - - SideEffects [none] - - SeeAlso [] - -******************************************************************************/ -static int -cuddResizeLinear( - DdManager * table) -{ - int words,oldWords; - int wordsPerRow,oldWordsPerRow; - int nvars,oldNvars; - int word,oldWord; - int bit; - int i,j; - long *linear,*oldLinear; - - oldNvars = table->linearSize; - oldWordsPerRow = ((oldNvars - 1) >> LOGBPL) + 1; - oldWords = oldWordsPerRow * oldNvars; - oldLinear = table->linear; - - nvars = table->size; - wordsPerRow = ((nvars - 1) >> LOGBPL) + 1; - words = wordsPerRow * nvars; - table->linear = linear = ALLOC(long,words); - if (linear == NULL) { - table->errorCode = CUDD_MEMORY_OUT; - return(0); - } - table->memused += (words - oldWords) * sizeof(long); - for (i = 0; i < words; i++) linear[i] = 0; - - /* Copy old matrix. */ - for (i = 0; i < oldNvars; i++) { - for (j = 0; j < oldWordsPerRow; j++) { - oldWord = oldWordsPerRow * i + j; - word = wordsPerRow * i + j; - linear[word] = oldLinear[oldWord]; - } - } - FREE(oldLinear); - - /* Add elements to the diagonal. */ - for (i = oldNvars; i < nvars; i++) { - word = wordsPerRow * i + (i >> LOGBPL); - bit = i & (BPL-1); - linear[word] = 1 << bit; - } - table->linearSize = nvars; - - return(1); - -} /* end of cuddResizeLinear */ - - -/**Function******************************************************************** - - Synopsis [XORs two rows of the linear transform matrix.] - - Description [XORs two rows of the linear transform matrix and replaces - the first row with the result.] - - SideEffects [none] - - SeeAlso [] - -******************************************************************************/ -static void -cuddXorLinear( - DdManager * table, - int x, - int y) -{ - int i; - int nvars = table->size; - int wordsPerRow = ((nvars - 1) >> LOGBPL) + 1; - int xstart = wordsPerRow * x; - int ystart = wordsPerRow * y; - long *linear = table->linear; - - for (i = 0; i < wordsPerRow; i++) { - linear[xstart+i] ^= linear[ystart+i]; - } - -} /* end of cuddXorLinear */ - |