/**Function*************************************************************
Synopsis [Computes the transition relation of the network.]
Description [Assumes that the global BDDs are computed.]
SideEffects []
SeeAlso []
***********************************************************************/
DdNode * Abc_NtkTransitionRelation( DdManager * dd, Abc_Ntk_t * pNtk, int fVerbose )
{
DdNode * bRel, * bTemp, * bProd, * bVar, * bInputs;
Abc_Obj_t * pNode;
int fReorder = 1;
int i;
// extand the BDD manager to represent NS variables
assert( dd->size == Abc_NtkCiNum(pNtk) );
Cudd_bddIthVar( dd, Abc_NtkCiNum(pNtk) + Abc_NtkLatchNum(pNtk) - 1 );
// enable reordering
if ( fReorder )
Cudd_AutodynEnable( dd, CUDD_REORDER_SYMM_SIFT );
else
Cudd_AutodynDisable( dd );
// compute the transition relation
bRel = b1; Cudd_Ref( bRel );
Abc_NtkForEachLatch( pNtk, pNode, i )
{
bVar = Cudd_bddIthVar( dd, Abc_NtkCiNum(pNtk) + i );
// bProd = Cudd_bddXnor( dd, bVar, pNtk->vFuncsGlob->pArray[i] ); Cudd_Ref( bProd );
bProd = Cudd_bddXnor( dd, bVar, Abc_ObjGlobalBdd(Abc_ObjFanin0(pNode)) ); Cudd_Ref( bProd );
bRel = Cudd_bddAnd( dd, bTemp = bRel, bProd ); Cudd_Ref( bRel );
Cudd_RecursiveDeref( dd, bTemp );
Cudd_RecursiveDeref( dd, bProd );
}
static YAP_Bool init_bdd(void) {
mgr_ex = (DdManager **)realloc(mgr_ex, (ex + 1) * sizeof(DdManager *));
mgr_ex[ex] = Cudd_Init(0, 0, UNIQUE_SLOTS, CACHE_SLOTS, 5120);
Cudd_AutodynEnable(mgr_ex[ex], CUDD_REORDER_GROUP_SIFT);
Cudd_SetMaxCacheHard(mgr_ex[ex], 0);
Cudd_SetLooseUpTo(mgr_ex[ex], 0);
Cudd_SetMinHit(mgr_ex[ex], 15);
bVar2mVar_ex = (int **)realloc(bVar2mVar_ex, (ex + 1) * sizeof(int *));
bVar2mVar_ex[ex] = NULL;
vars_ex = (variable **)realloc(vars_ex, (ex + 1) * sizeof(variable *));
vars_ex[ex] = NULL;
nVars_ex = (int *)realloc(nVars_ex, (ex + 1) * sizeof(int));
nVars_ex[ex] = 0;
probs_ex = (double **)realloc(probs_ex, (ex + 1) * sizeof(double *));
probs_ex[ex] = NULL;
boolVars_ex = (int *)realloc(boolVars_ex, (ex + 1) * sizeof(int));
boolVars_ex[ex] = 0;
return 1;
}
static YAP_Bool init_test(void) {
YAP_Term arg1;
arg1 = YAP_ARG1;
nRules = YAP_IntOfTerm(arg1);
ex = 0;
mgr_ex = (DdManager **)malloc((ex + 1) * sizeof(DdManager *));
mgr_ex[ex] = Cudd_Init(0, 0, UNIQUE_SLOTS, CACHE_SLOTS, 5120);
Cudd_AutodynEnable(mgr_ex[ex], CUDD_REORDER_GROUP_SIFT);
Cudd_SetMaxCacheHard(mgr_ex[ex], 0);
Cudd_SetLooseUpTo(mgr_ex[ex], 0);
Cudd_SetMinHit(mgr_ex[ex], 15);
bVar2mVar_ex = (int **)malloc((ex + 1) * sizeof(int *));
bVar2mVar_ex[ex] = NULL;
vars_ex = (variable **)malloc((ex + 1) * sizeof(variable *));
vars_ex[ex] = NULL;
nVars_ex = (int *)malloc((ex + 1) * sizeof(int));
nVars_ex[ex] = 0;
probs_ex = (double **)malloc((ex + 1) * sizeof(double *));
probs_ex[ex] = NULL;
boolVars_ex = (int *)malloc((ex + 1) * sizeof(int));
boolVars_ex[ex] = 0;
rules = (int *)malloc(nRules * sizeof(int));
return 1;
}
/**
* Creates a new BDDManager.
*
* @param maxMemoryInMB The amount of memory to be used. Must be <4096 as CUDD does not support more
* @param reorderingMaxBlowup The maximal allowed blowup during sifting steps in the reordering algorithm. Standard is 1.2 - use 1.1 to have less reordering done. A value of 1.0 results in greedy reordering.
* @author ehlers
*/
BFBddManager::BFBddManager(unsigned int maxMemoryInMB, float reorderingMaxBlowup) {
mgr = Cudd_Init(0, 0, CUDD_UNIQUE_SLOTS, CUDD_CACHE_SLOTS, (long) maxMemoryInMB * 1024UL * 1024UL);
// Configuring the manager
Cudd_AutodynEnable(mgr, CUDD_REORDER_SIFT);
Cudd_SetMaxGrowth(mgr, reorderingMaxBlowup);
Cudd_SetMinHit(mgr, 1);
setAutomaticOptimisation(true);
}
/**Function********************************************************************
Synopsis [Starts the CUDD manager with the desired options.]
Description [Starts the CUDD manager with the desired options.
We start with 0 variables, because Ntr_buildDDs will create new
variables rather than using whatever already exists.]
SideEffects [None]
SeeAlso []
*****************************************************************************/
static DdManager *
startCudd(
NtrOptions * option,
int nvars)
{
DdManager *dd;
int result;
dd = Cudd_Init(0, 0, option->slots, option->cacheSize, option->maxMemory);
if (dd == NULL) return(NULL);
if (option->maxMemHard != 0) {
Cudd_SetMaxMemory(dd,option->maxMemHard);
}
Cudd_SetMaxLive(dd,option->maxLive);
Cudd_SetGroupcheck(dd,option->groupcheck);
if (option->autoDyn & 1) {
Cudd_AutodynEnable(dd,option->autoMethod);
}
dd->nextDyn = option->firstReorder;
dd->countDead = (option->countDead == FALSE) ? ~0 : 0;
dd->maxGrowth = 1.0 + ((float) option->maxGrowth / 100.0);
dd->recomb = option->recomb;
dd->arcviolation = option->arcviolation;
dd->symmviolation = option->symmviolation;
dd->populationSize = option->populationSize;
dd->numberXovers = option->numberXovers;
result = ntrReadTree(dd,option->treefile,nvars);
if (result == 0) {
Cudd_Quit(dd);
return(NULL);
}
#ifndef DD_STATS
result = Cudd_EnableReorderingReporting(dd);
if (result == 0) {
(void) fprintf(stderr,
"Error reported by Cudd_EnableReorderingReporting\n");
Cudd_Quit(dd);
return(NULL);
}
#endif
return(dd);
} /* end of startCudd */
void initc(int reorder)
{
int intBits;
nVars=0;
boolVars=0;
mgr=Cudd_Init(nVars,0,CUDD_UNIQUE_SLOTS,CUDD_CACHE_SLOTS,0);
if (reorder != CUDD_REORDER_NONE)
Cudd_AutodynEnable(mgr,reorder);
vars= (variable *) malloc(nVars * sizeof(variable));
probs=(double *) malloc(0);
intBits=sizeof(unsigned int)*8;
dividend=-1;
/* dividend is a global variable used by my_hash
it is equal to an unsigned int with binary representation 11..1 */
}
/**Function*************************************************************
Synopsis [Recursively computes global BDDs for the AIG in the manager.]
Description [On exit, BDDs are stored in the pNode->pData fields.]
SideEffects []
SeeAlso []
***********************************************************************/
DdManager * Aig_ManComputeGlobalBdds( Aig_Man_t * p, int nBddSizeMax, int fDropInternal, int fReorder, int fVerbose )
{
ProgressBar * pProgress = NULL;
Aig_Obj_t * pObj;
DdManager * dd;
DdNode * bFunc;
int i, Counter;
// start the manager
dd = Cudd_Init( Aig_ManCiNum(p), 0, CUDD_UNIQUE_SLOTS, CUDD_CACHE_SLOTS, 0 );
// set reordering
if ( fReorder )
Cudd_AutodynEnable( dd, CUDD_REORDER_SYMM_SIFT );
// prepare to construct global BDDs
Aig_ManCleanData( p );
// assign the constant node BDD
Aig_ObjSetGlobalBdd( Aig_ManConst1(p), dd->one ); Cudd_Ref( dd->one );
// set the elementary variables
Aig_ManForEachCi( p, pObj, i )
{
Aig_ObjSetGlobalBdd( pObj, dd->vars[i] ); Cudd_Ref( dd->vars[i] );
}
BddBuilder::BddBuilder(){
__pddWireHead = __pddWireTail = NULL;
__pddOutputWireHead = __pddOutputWireTail = NULL;
__pddOutputNodes = NULL;
__pddGateHead = __pddGateTail = NULL;
__pddInputNodes = NULL;
__pddManager = Cudd_Init(0, 0,CUDD_UNIQUE_SLOTS,CUDD_CACHE_SLOTS , 0);
Cudd_ReduceHeap(__pddManager,CUDD_REORDER_RANDOM_PIVOT,0);
Cudd_AutodynEnable(__pddManager,CUDD_REORDER_RANDOM_PIVOT);
__Vcc = Cudd_ReadOne(__pddManager);
__GND = Cudd_ReadLogicZero(__pddManager);
char * name_vcc = new char[4];
char * name_gnd = new char[4];
sprintf(name_vcc, "Vcc");
sprintf(name_gnd, "GND");
__VccWire = new DdWire(__pddManager, name_vcc, 0, 0);
__GNDWire = new DdWire(__pddManager, name_gnd, 0, 0);
__VccWire->setDdNode(__Vcc);
__GNDWire->setDdNode(__GND);
Cudd_Ref(__Vcc);
Cudd_Ref(__GND);
if(__pddManager == NULL){
perror("DdManager initializing error.");
}
//__inputWireCnt = 2; // Vcc & GND
__inputWireCnt = -1;
__outputWireCnt = -1;
__pddInputWireHead = __VccWire;
__VccWire->setInputListNext(__GNDWire);
__pddInputWireTail = __GNDWire;
}
/**Function********************************************************************
Synopsis [Main function for testcudd.]
Description []
SideEffects [None]
SeeAlso []
******************************************************************************/
int
main(int argc, char **argv)
{
FILE *fp; /* pointer to input file */
char *file = (char *) ""; /* input file name */
FILE *dfp = NULL; /* pointer to dump file */
char *dfile; /* file for DD dump */
DdNode *dfunc[2]; /* addresses of the functions to be dumped */
DdManager *dd; /* pointer to DD manager */
DdNode *_true; /* fast access to constant function */
DdNode *M;
DdNode **x; /* pointers to variables */
DdNode **y; /* pointers to variables */
DdNode **xn; /* complements of row variables */
DdNode **yn_; /* complements of column variables */
DdNode **xvars;
DdNode **yvars;
DdNode *C; /* result of converting from ADD to BDD */
DdNode *ess; /* cube of essential variables */
DdNode *shortP; /* BDD cube of shortest path */
DdNode *largest; /* BDD of largest cube */
DdNode *shortA; /* ADD cube of shortest path */
DdNode *constN; /* value returned by evaluation of ADD */
DdNode *ycube; /* cube of the negated y vars for c-proj */
DdNode *CP; /* C-Projection of C */
DdNode *CPr; /* C-Selection of C */
int length; /* length of the shortest path */
int nx; /* number of variables */
int ny;
int maxnx;
int maxny;
int m;
int n;
int N;
int cmu; /* use CMU multiplication */
int pr; /* verbose printout level */
int harwell;
int multiple; /* read multiple matrices */
int ok;
int c; /* variable to read in options */
int approach; /* reordering approach */
int autodyn; /* automatic reordering */
int groupcheck; /* option for group sifting */
int profile; /* print heap profile if != 0 */
int keepperm; /* keep track of permutation */
int clearcache; /* clear the cache after each matrix */
int blifOrDot; /* dump format: 0 -> dot, 1 -> blif, ... */
int retval; /* return value */
int i; /* loop index */
long startTime; /* initial time */
long lapTime;
int size;
unsigned int cacheSize, maxMemory;
unsigned int nvars,nslots;
startTime = util_cpu_time();
approach = CUDD_REORDER_NONE;
autodyn = 0;
pr = 0;
harwell = 0;
multiple = 0;
profile = 0;
keepperm = 0;
cmu = 0;
N = 4;
nvars = 4;
cacheSize = 127;
maxMemory = 0;
nslots = CUDD_UNIQUE_SLOTS;
clearcache = 0;
groupcheck = CUDD_GROUP_CHECK7;
dfile = NULL;
blifOrDot = 0; /* dot format */
/* Parse command line. */
while ((c = util_getopt(argc, argv, (char *) "CDHMPS:a:bcd:g:hkmn:p:v:x:X:"))
!= EOF) {
switch(c) {
case 'C':
cmu = 1;
break;
case 'D':
autodyn = 1;
break;
case 'H':
harwell = 1;
break;
case 'M':
#ifdef MNEMOSYNE
(void) mnem_setrecording(0);
#endif
break;
case 'P':
profile = 1;
break;
case 'S':
nslots = atoi(util_optarg);
break;
case 'X':
maxMemory = atoi(util_optarg);
break;
case 'a':
approach = atoi(util_optarg);
break;
case 'b':
blifOrDot = 1; /* blif format */
break;
case 'c':
clearcache = 1;
break;
case 'd':
dfile = util_optarg;
break;
case 'g':
groupcheck = atoi(util_optarg);
break;
case 'k':
keepperm = 1;
break;
case 'm':
multiple = 1;
break;
case 'n':
N = atoi(util_optarg);
break;
case 'p':
pr = atoi(util_optarg);
break;
case 'v':
nvars = atoi(util_optarg);
break;
case 'x':
cacheSize = atoi(util_optarg);
break;
case 'h':
default:
usage(argv[0]);
break;
}
}
if (argc - util_optind == 0) {
file = (char *) "-";
} else if (argc - util_optind == 1) {
file = argv[util_optind];
} else {
usage(argv[0]);
}
if ((approach<0) || (approach>17)) {
(void) fprintf(stderr,"Invalid approach: %d \n",approach);
usage(argv[0]);
}
if (pr >= 0) {
(void) printf("# %s\n", TESTCUDD_VERSION);
/* Echo command line and arguments. */
(void) printf("#");
for (i = 0; i < argc; i++) {
(void) printf(" %s", argv[i]);
}
(void) printf("\n");
(void) fflush(stdout);
}
/* Initialize manager and provide easy reference to terminals. */
dd = Cudd_Init(nvars,0,nslots,cacheSize,maxMemory);
_true = DD_TRUE(dd);
dd->groupcheck = (Cudd_AggregationType) groupcheck;
if (autodyn) Cudd_AutodynEnable(dd,CUDD_REORDER_SAME);
/* Open input file. */
fp = open_file(file, "r");
/* Open dump file if requested */
if (dfile != NULL) {
dfp = open_file(dfile, "w");
}
x = y = xn = yn_ = NULL;
do {
/* We want to start anew for every matrix. */
maxnx = maxny = 0;
nx = maxnx; ny = maxny;
if (pr>0) lapTime = util_cpu_time();
if (harwell) {
if (pr >= 0) (void) printf(":name: ");
ok = Cudd_addHarwell(fp, dd, &M, &x, &y, &xn, &yn_, &nx, &ny,
&m, &n, 0, 2, 1, 2, pr);
} else {
ok = Cudd_addRead(fp, dd, &M, &x, &y, &xn, &yn_, &nx, &ny,
&m, &n, 0, 2, 1, 2);
if (pr >= 0)
(void) printf(":name: %s: %d rows %d columns\n", file, m, n);
}
if (!ok) {
(void) fprintf(stderr, "Error reading matrix\n");
exit(1);
}
if (nx > maxnx) maxnx = nx;
if (ny > maxny) maxny = ny;
/* Build cube of negated y's. */
ycube = DD_TRUE(dd);
Cudd_Ref(ycube);
for (i = maxny - 1; i >= 0; i--) {
DdNode *tmpp;
tmpp = Cudd_bddAnd(dd,Cudd_Not(dd->vars[y[i]->index]),ycube);
if (tmpp == NULL) exit(2);
Cudd_Ref(tmpp);
Cudd_RecursiveDeref(dd,ycube);
ycube = tmpp;
}
/* Initialize vectors of BDD variables used by priority func. */
xvars = ALLOC(DdNode *, nx);
if (xvars == NULL) exit(2);
for (i = 0; i < nx; i++) {
xvars[i] = dd->vars[x[i]->index];
}
yvars = ALLOC(DdNode *, ny);
if (yvars == NULL) exit(2);
for (i = 0; i < ny; i++) {
yvars[i] = dd->vars[y[i]->index];
}
/* Clean up */
for (i=0; i < maxnx; i++) {
Cudd_RecursiveDeref(dd, x[i]);
Cudd_RecursiveDeref(dd, xn[i]);
}
FREE(x);
FREE(xn);
for (i=0; i < maxny; i++) {
Cudd_RecursiveDeref(dd, y[i]);
Cudd_RecursiveDeref(dd, yn_[i]);
}
FREE(y);
FREE(yn_);
if (pr>0) {(void) printf(":1: M"); Cudd_PrintDebug(dd,M,nx+ny,pr);}
if (pr>0) (void) printf(":2: time to read the matrix = %s\n",
util_print_time(util_cpu_time() - lapTime));
C = Cudd_addBddPattern(dd, M);
if (C == 0) exit(2);
Cudd_Ref(C);
if (pr>0) {(void) printf(":3: C"); Cudd_PrintDebug(dd,C,nx+ny,pr);}
/* Test iterators. */
retval = testIterators(dd,M,C,pr);
if (retval == 0) exit(2);
cuddCacheProfile(dd,stdout);
/* Test XOR */
retval = testXor(dd,C,pr,nx+ny);
if (retval == 0) exit(2);
/* Test Hamming distance functions. */
retval = testHamming(dd,C,pr);
if (retval == 0) exit(2);
/* Test selection functions. */
CP = Cudd_CProjection(dd,C,ycube);
if (CP == NULL) exit(2);
Cudd_Ref(CP);
if (pr>0) {(void) printf("ycube"); Cudd_PrintDebug(dd,ycube,nx+ny,pr);}
if (pr>0) {(void) printf("CP"); Cudd_PrintDebug(dd,CP,nx+ny,pr);}
if (nx == ny) {
CPr = Cudd_PrioritySelect(dd,C,xvars,yvars,(DdNode **)NULL,
(DdNode *)NULL,ny,Cudd_Xgty);
if (CPr == NULL) exit(2);
Cudd_Ref(CPr);
if (pr>0) {(void) printf(":4: CPr"); Cudd_PrintDebug(dd,CPr,nx+ny,pr);}
if (CP != CPr) {
(void) printf("CP != CPr!\n");
}
Cudd_RecursiveDeref(dd, CPr);
}
FREE(xvars); FREE(yvars);
Cudd_RecursiveDeref(dd, CP);
Cudd_RecursiveDeref(dd, ycube);
/* Test functions for essential variables. */
ess = Cudd_FindEssential(dd,C);
if (ess == NULL) exit(2);
Cudd_Ref(ess);
if (pr>0) {(void) printf(":4: ess"); Cudd_PrintDebug(dd,ess,nx+ny,pr);}
Cudd_RecursiveDeref(dd, ess);
/* Test functions for shortest paths. */
shortP = Cudd_ShortestPath(dd, M, NULL, NULL, &length);
if (shortP == NULL) exit(2);
Cudd_Ref(shortP);
if (pr>0) {
(void) printf(":5: shortP"); Cudd_PrintDebug(dd,shortP,nx+ny,pr);
}
/* Test functions for largest cubes. */
largest = Cudd_LargestCube(dd, Cudd_Not(C), &length);
if (largest == NULL) exit(2);
Cudd_Ref(largest);
if (pr>0) {
(void) printf(":5b: largest");
Cudd_PrintDebug(dd,largest,nx+ny,pr);
}
Cudd_RecursiveDeref(dd, largest);
/* Test Cudd_addEvalConst and Cudd_addIteConstant. */
shortA = Cudd_BddToAdd(dd,shortP);
if (shortA == NULL) exit(2);
Cudd_Ref(shortA);
Cudd_RecursiveDeref(dd, shortP);
constN = Cudd_addEvalConst(dd,shortA,M);
if (constN == DD_NON_CONSTANT) exit(2);
if (Cudd_addIteConstant(dd,shortA,M,constN) != constN) exit(2);
if (pr>0) {(void) printf("The value of M along the chosen shortest path is %g\n", cuddV(constN));}
Cudd_RecursiveDeref(dd, shortA);
shortP = Cudd_ShortestPath(dd, C, NULL, NULL, &length);
if (shortP == NULL) exit(2);
Cudd_Ref(shortP);
if (pr>0) {
(void) printf(":6: shortP"); Cudd_PrintDebug(dd,shortP,nx+ny,pr);
}
/* Test Cudd_bddIteConstant and Cudd_bddLeq. */
if (!Cudd_bddLeq(dd,shortP,C)) exit(2);
if (Cudd_bddIteConstant(dd,Cudd_Not(shortP),_true,C) != _true) exit(2);
Cudd_RecursiveDeref(dd, shortP);
if (profile) {
retval = cuddHeapProfile(dd);
}
size = dd->size;
if (pr>0) {
(void) printf("Average distance: %g\n", Cudd_AverageDistance(dd));
}
/* Reorder if so requested. */
if (approach != CUDD_REORDER_NONE) {
#ifndef DD_STATS
retval = Cudd_EnableReorderingReporting(dd);
if (retval == 0) {
(void) fprintf(stderr,"Error reported by Cudd_EnableReorderingReporting\n");
exit(3);
}
#endif
#ifdef DD_DEBUG
retval = Cudd_DebugCheck(dd);
if (retval != 0) {
(void) fprintf(stderr,"Error reported by Cudd_DebugCheck\n");
exit(3);
}
retval = Cudd_CheckKeys(dd);
if (retval != 0) {
(void) fprintf(stderr,"Error reported by Cudd_CheckKeys\n");
exit(3);
}
#endif
retval = Cudd_ReduceHeap(dd,(Cudd_ReorderingType)approach,5);
if (retval == 0) {
(void) fprintf(stderr,"Error reported by Cudd_ReduceHeap\n");
exit(3);
}
#ifndef DD_STATS
retval = Cudd_DisableReorderingReporting(dd);
if (retval == 0) {
(void) fprintf(stderr,"Error reported by Cudd_DisableReorderingReporting\n");
exit(3);
}
#endif
#ifdef DD_DEBUG
retval = Cudd_DebugCheck(dd);
if (retval != 0) {
(void) fprintf(stderr,"Error reported by Cudd_DebugCheck\n");
exit(3);
}
retval = Cudd_CheckKeys(dd);
if (retval != 0) {
(void) fprintf(stderr,"Error reported by Cudd_CheckKeys\n");
exit(3);
}
#endif
if (approach == CUDD_REORDER_SYMM_SIFT ||
approach == CUDD_REORDER_SYMM_SIFT_CONV) {
Cudd_SymmProfile(dd,0,dd->size-1);
}
if (pr>0) {
(void) printf("Average distance: %g\n", Cudd_AverageDistance(dd));
}
if (keepperm) {
/* Print variable permutation. */
(void) printf("Variable Permutation:");
for (i=0; i<size; i++) {
if (i%20 == 0) (void) printf("\n");
(void) printf("%d ", dd->invperm[i]);
}
(void) printf("\n");
(void) printf("Inverse Permutation:");
for (i=0; i<size; i++) {
if (i%20 == 0) (void) printf("\n");
(void) printf("%d ", dd->perm[i]);
}
(void) printf("\n");
}
if (pr>0) {(void) printf("M"); Cudd_PrintDebug(dd,M,nx+ny,pr);}
if (profile) {
retval = cuddHeapProfile(dd);
}
}
/* Dump DDs of C and M if so requested. */
if (dfile != NULL) {
dfunc[0] = C;
dfunc[1] = M;
if (blifOrDot == 1) {
/* Only dump C because blif cannot handle ADDs */
retval = Cudd_DumpBlif(dd,1,dfunc,NULL,(char **)onames,
NULL,dfp);
} else {
retval = Cudd_DumpDot(dd,2,dfunc,NULL,(char **)onames,dfp);
}
if (retval != 1) {
(void) fprintf(stderr,"abnormal termination\n");
exit(2);
}
}
Cudd_RecursiveDeref(dd, C);
Cudd_RecursiveDeref(dd, M);
if (clearcache) {
if (pr>0) {(void) printf("Clearing the cache... ");}
for (i = dd->cacheSlots - 1; i>=0; i--) {
dd->cache[i].data = NIL(DdNode);
}
if (pr>0) {(void) printf("done\n");}
}
if (pr>0) {
(void) printf("Number of variables = %6d\t",dd->size);
(void) printf("Number of slots = %6d\n",dd->slots);
(void) printf("Number of keys = %6d\t",dd->keys);
(void) printf("Number of min dead = %6d\n",dd->minDead);
}
} while (multiple && !feof(fp));
fclose(fp);
if (dfile != NULL) {
fclose(dfp);
}
/* Second phase: experiment with Walsh matrices. */
if (!testWalsh(dd,N,cmu,approach,pr)) {
exit(2);
}
/* Check variable destruction. */
assert(cuddDestroySubtables(dd,3));
assert(Cudd_DebugCheck(dd) == 0);
assert(Cudd_CheckKeys(dd) == 0);
retval = Cudd_CheckZeroRef(dd);
ok = retval != 0; /* ok == 0 means O.K. */
if (retval != 0) {
(void) fprintf(stderr,
"%d non-zero DD reference counts after dereferencing\n", retval);
}
if (pr >= 0) {
(void) Cudd_PrintInfo(dd,stdout);
}
Cudd_Quit(dd);
#ifdef MNEMOSYNE
mnem_writestats();
#endif
if (pr>0) (void) printf("total time = %s\n",
util_print_time(util_cpu_time() - startTime));
if (pr >= 0) util_print_cpu_stats(stdout);
exit(ok);
/* NOTREACHED */
} /* end of main */
int main( int argc, char **argv )
{
FILE *fp;
FILE *stdin_backup = NULL;
bool help_flag = False;
bool ptdump_flag = False;
bool logging_flag = False;
unsigned char verbose = 0;
int input_index = -1;
int output_file_index = -1; /* For command-line flag "-o". */
char dumpfilename[64];
int i, j, var_index;
ptree_t *tmppt; /* General purpose temporary ptree pointer */
int horizon = -1;
DdNode *W, *etrans, *strans, **sgoals, **egoals;
DdManager *manager;
DdNode *T = NULL;
anode_t *strategy = NULL;
int num_env, num_sys;
int original_num_env, original_num_sys;
int max_sim_it; /* Number of simulation iterations */
anode_t *play;
vartype *init_state;
int *init_state_ints = NULL;
char *all_vars = NULL, *metric_vars = NULL;
int *offw, num_vars;
int init_state_acc; /* Accumulate components of initial state
before expanding into a (bool) bitvector. */
/* Look for flags in command-line arguments. */
for (i = 1; i < argc; i++) {
if (argv[i][0] == '-') {
if (argv[i][1] == 'h') {
help_flag = True;
} else if (argv[i][1] == 'V') {
printf( "grjit (experiment-related program, distributed with"
" gr1c v" GR1C_VERSION ")\n\n" GR1C_COPYRIGHT "\n" );
return 0;
} else if (argv[i][1] == 'v') {
verbose = 1;
j = 2;
/* Only support up to "level 2" of verbosity */
while (argv[i][j] == 'v' && j <= 2) {
verbose++;
j++;
}
} else if (argv[i][1] == 'l') {
logging_flag = True;
} else if (argv[i][1] == 'p') {
ptdump_flag = True;
} else if (argv[i][1] == 'm') {
if (i == argc-1) {
fprintf( stderr, "Invalid flag given. Try \"-h\".\n" );
return 1;
}
all_vars = strtok( argv[i+1], "," );
max_sim_it = strtol( all_vars, NULL, 10 );
all_vars = strtok( NULL, "," );
if (all_vars == NULL) {
fprintf( stderr, "Invalid use of -m flag.\n" );
return 1;
}
metric_vars = strdup( all_vars );
if (max_sim_it >= 0) {
all_vars = strtok( NULL, "," );
if (all_vars == NULL) {
fprintf( stderr, "Invalid use of -m flag.\n" );
return 1;
}
init_state_acc = read_state_str( all_vars,
&init_state_ints, -1 );
all_vars = strtok( NULL, "," );
if (all_vars == NULL) {
horizon = -1; /* The horizon was not given. */
} else {
horizon = strtol( all_vars, NULL, 10 );
if (horizon < 1) {
fprintf( stderr,
"Invalid use of -m flag. Horizon must"
" be positive.\n" );
return 1;
}
}
}
all_vars = NULL;
i++;
} else if (argv[i][1] == 'o') {
if (i == argc-1) {
fprintf( stderr, "Invalid flag given. Try \"-h\".\n" );
return 1;
}
output_file_index = i+1;
i++;
} else {
fprintf( stderr, "Invalid flag given. Try \"-h\".\n" );
return 1;
}
} else if (input_index < 0) {
/* Use first non-flag argument as filename whence to read
specification. */
input_index = i;
}
}
if (help_flag) {
/* Split among printf() calls to conform with ISO C90 string length */
printf( "Usage: %s [-hVvlp] [-m ARG1,ARG2,...] [-o FILE] [FILE]\n\n"
" -h this help message\n"
" -V print version and exit\n"
" -v be verbose; use -vv to be more verbose\n"
" -l enable logging\n"
" -p dump parse trees to DOT files, and echo formulas to screen\n"
" -o FILE output results to FILE, rather than stdout (default)\n", argv[0] );
printf( " -m ARG1,... run simulation using comma-separated list of arguments:\n"
" ARG1 is the max simulation duration; -1 to only compute horizon;\n"
" ARG2 is a space-separated list of metric variables;\n"
" ARG3 is a space-separated list of initial values;\n"
" ARG3 is ignored and may be omitted if ARG1 equals -1.\n"
" ARG4 is the horizon, if provided; otherwise compute it.\n" );
return 1;
}
if (logging_flag) {
openlogfile( NULL ); /* Use default filename prefix */
/* Only change verbosity level if user did not specify it */
if (verbose == 0)
verbose = 1;
} else {
setlogstream( stdout );
setlogopt( LOGOPT_NOTIME );
}
if (verbose > 0)
logprint( "Running with verbosity level %d.", verbose );
/* If filename for specification given at command-line, then use
it. Else, read from stdin. */
if (input_index > 0) {
fp = fopen( argv[input_index], "r" );
if (fp == NULL) {
perror( "grjit, fopen" );
return -1;
}
stdin_backup = stdin;
stdin = fp;
}
/* Parse the specification. */
if (verbose)
logprint( "Parsing input..." );
SPC_INIT( spc );
if (yyparse())
return -1;
if (verbose)
logprint( "Done." );
if (stdin_backup != NULL) {
stdin = stdin_backup;
}
/* Close input file, if opened. */
if (input_index > 0)
fclose( fp );
/* Treat deterministic problem in which ETRANS or EINIT is omitted. */
if (spc.evar_list == NULL) {
if (spc.et_array_len == 0) {
spc.et_array_len = 1;
spc.env_trans_array = malloc( sizeof(ptree_t *) );
if (spc.env_trans_array == NULL) {
perror( "gr1c, malloc" );
return -1;
}
*spc.env_trans_array = init_ptree( PT_CONSTANT, NULL, 1 );
}
if (spc.env_init == NULL)
spc.env_init = init_ptree( PT_CONSTANT, NULL, 1 );
}
/* Number of variables, before expansion of those that are nonboolean */
original_num_env = tree_size( spc.evar_list );
original_num_sys = tree_size( spc.svar_list );
/* Build list of variable names if needed for simulation, storing
the result as a string in all_vars */
if (max_sim_it >= 0) {
/* At this point, init_state_acc should contain the number of
integers read by read_state_str() during
command-line argument parsing. */
if (init_state_acc != original_num_env+original_num_sys) {
fprintf( stderr,
"Number of initial values given does not match number"
" of problem variables.\n" );
return 1;
}
num_vars = 0;
tmppt = spc.evar_list;
while (tmppt) {
num_vars += strlen( tmppt->name )+1;
tmppt = tmppt->left;
}
tmppt = spc.svar_list;
while (tmppt) {
num_vars += strlen( tmppt->name )+1;
tmppt = tmppt->left;
}
all_vars = malloc( num_vars*sizeof(char) );
if (all_vars == NULL) {
perror( "main, malloc" );
return -1;
}
i = 0;
tmppt = spc.evar_list;
while (tmppt) {
strncpy( all_vars+i, tmppt->name, num_vars-i );
i += strlen( tmppt->name )+1;
*(all_vars+i-1) = ' ';
tmppt = tmppt->left;
}
tmppt = spc.svar_list;
while (tmppt) {
strncpy( all_vars+i, tmppt->name, num_vars-i );
i += strlen( tmppt->name )+1;
*(all_vars+i-1) = ' ';
tmppt = tmppt->left;
}
*(all_vars+i-1) = '\0';
if (verbose)
logprint( "String of all variables found to be \"%s\"", all_vars );
}
if (ptdump_flag) {
tree_dot_dump( spc.env_init, "env_init_ptree.dot" );
tree_dot_dump( spc.sys_init, "sys_init_ptree.dot" );
for (i = 0; i < spc.et_array_len; i++) {
snprintf( dumpfilename, sizeof(dumpfilename),
"env_trans%05d_ptree.dot", i );
tree_dot_dump( *(spc.env_trans_array+i), dumpfilename );
}
for (i = 0; i < spc.st_array_len; i++) {
snprintf( dumpfilename, sizeof(dumpfilename),
"sys_trans%05d_ptree.dot", i );
tree_dot_dump( *(spc.sys_trans_array+i), dumpfilename );
}
if (spc.num_egoals > 0) {
for (i = 0; i < spc.num_egoals; i++) {
snprintf( dumpfilename, sizeof(dumpfilename),
"env_goal%05d_ptree.dot", i );
tree_dot_dump( *(spc.env_goals+i), dumpfilename );
}
}
if (spc.num_sgoals > 0) {
for (i = 0; i < spc.num_sgoals; i++) {
snprintf( dumpfilename, sizeof(dumpfilename),
"sys_goal%05d_ptree.dot", i );
tree_dot_dump( *(spc.sys_goals+i), dumpfilename );
}
}
var_index = 0;
printf( "Environment variables (indices; domains): " );
if (spc.evar_list == NULL) {
printf( "(none)" );
} else {
tmppt = spc.evar_list;
while (tmppt) {
if (tmppt->value == 0) { /* Boolean */
if (tmppt->left == NULL) {
printf( "%s (%d; bool)", tmppt->name, var_index );
} else {
printf( "%s (%d; bool), ", tmppt->name, var_index);
}
} else {
if (tmppt->left == NULL) {
printf( "%s (%d; {0..%d})",
tmppt->name, var_index, tmppt->value );
} else {
printf( "%s (%d; {0..%d}), ",
tmppt->name, var_index, tmppt->value );
}
}
tmppt = tmppt->left;
var_index++;
}
}
printf( "\n\n" );
printf( "System variables (indices; domains): " );
if (spc.svar_list == NULL) {
printf( "(none)" );
} else {
tmppt = spc.svar_list;
while (tmppt) {
if (tmppt->value == 0) { /* Boolean */
if (tmppt->left == NULL) {
printf( "%s (%d; bool)", tmppt->name, var_index );
} else {
printf( "%s (%d; bool), ", tmppt->name, var_index );
}
} else {
if (tmppt->left == NULL) {
printf( "%s (%d; {0..%d})",
tmppt->name, var_index, tmppt->value );
} else {
printf( "%s (%d; {0..%d}), ",
tmppt->name, var_index, tmppt->value );
}
}
tmppt = tmppt->left;
var_index++;
}
}
printf( "\n\n" );
print_GR1_spec( spc.evar_list, spc.svar_list, spc.env_init, spc.sys_init,
spc.env_trans_array, spc.et_array_len,
spc.sys_trans_array, spc.st_array_len,
spc.env_goals, spc.num_egoals, spc.sys_goals, spc.num_sgoals, stdout );
}
if (expand_nonbool_GR1( spc.evar_list, spc.svar_list, &spc.env_init, &spc.sys_init,
&spc.env_trans_array, &spc.et_array_len,
&spc.sys_trans_array, &spc.st_array_len,
&spc.env_goals, spc.num_egoals, &spc.sys_goals, spc.num_sgoals,
verbose ) < 0)
return -1;
spc.nonbool_var_list = expand_nonbool_variables( &spc.evar_list, &spc.svar_list,
verbose );
if (spc.et_array_len > 1) {
spc.env_trans = merge_ptrees( spc.env_trans_array, spc.et_array_len, PT_AND );
} else if (spc.et_array_len == 1) {
spc.env_trans = *spc.env_trans_array;
} else {
fprintf( stderr,
"Syntax error: GR(1) specification is missing environment"
" transition rules.\n" );
return -1;
}
if (spc.st_array_len > 1) {
spc.sys_trans = merge_ptrees( spc.sys_trans_array, spc.st_array_len, PT_AND );
} else if (spc.st_array_len == 1) {
spc.sys_trans = *spc.sys_trans_array;
} else {
fprintf( stderr,
"Syntax error: GR(1) specification is missing system"
" transition rules.\n" );
return -1;
}
if (verbose > 1)
/* Dump the spec to show results of conversion (if any). */
print_GR1_spec( spc.evar_list, spc.svar_list, spc.env_init, spc.sys_init,
spc.env_trans_array, spc.et_array_len,
spc.sys_trans_array, spc.st_array_len,
spc.env_goals, spc.num_egoals, spc.sys_goals, spc.num_sgoals, NULL );
num_env = tree_size( spc.evar_list );
num_sys = tree_size( spc.svar_list );
manager = Cudd_Init( 2*(num_env+num_sys),
0, CUDD_UNIQUE_SLOTS, CUDD_CACHE_SLOTS, 0 );
Cudd_SetMaxCacheHard( manager, (unsigned int)-1 );
Cudd_AutodynEnable( manager, CUDD_REORDER_SAME );
T = check_realizable( manager, EXIST_SYS_INIT, verbose );
if (verbose) {
if (T != NULL) {
logprint( "Realizable." );
} else {
logprint( "Not realizable." );
}
}
if (T != NULL) { /* Print measure data and simulate. */
if (horizon < 0) {
if (verbose)
logprint( "Computing horizon with metric variables: %s",
metric_vars );
horizon = compute_horizon( manager, &W, &etrans, &strans, &sgoals,
metric_vars, verbose );
logprint( "horizon: %d", horizon );
if (getlogstream() != stdout)
printf( "horizon: %d\n", horizon );
} else {
W = compute_winning_set_saveBDDs( manager, &etrans, &strans,
&egoals, &sgoals, verbose );
if (verbose)
logprint( "Using given horizon: %d", horizon );
}
if (max_sim_it >= 0 && horizon > -1) {
/* Compute variable offsets and use it to get the initial
state as a bitvector */
offw = get_offsets( all_vars, &num_vars );
if (num_vars != original_num_env+original_num_sys) {
fprintf( stderr,
"Error while computing bitwise variable offsets.\n" );
return -1;
}
free( all_vars );
init_state_acc = 0;
if (verbose) {
logprint_startline();
logprint_raw( "initial state for simulation:" );
}
for (i = 0; i < original_num_env+original_num_sys; i++) {
if (verbose)
logprint_raw( " %d", *(init_state_ints+i) );
init_state_acc += *(init_state_ints+i) << *(offw + 2*i);
}
if (verbose)
logprint_endline();
free( offw );
init_state = int_to_bitvec( init_state_acc, num_env+num_sys );
if (init_state == NULL)
return -1;
play = sim_rhc( manager, W, etrans, strans, sgoals, metric_vars,
horizon, init_state, max_sim_it, verbose );
if (play == NULL) {
fprintf( stderr,
"Error while attempting receding horizon"
" simulation.\n" );
return -1;
}
free( init_state );
logprint( "play length: %d", aut_size( play ) );
tmppt = spc.nonbool_var_list;
while (tmppt) {
aut_compact_nonbool( play, spc.evar_list, spc.svar_list,
tmppt->name, tmppt->value );
tmppt = tmppt->left;
}
num_env = tree_size( spc.evar_list );
num_sys = tree_size( spc.svar_list );
/* Open output file if specified; else point to stdout. */
if (output_file_index >= 0) {
fp = fopen( argv[output_file_index], "w" );
if (fp == NULL) {
perror( "grjit, fopen" );
return -1;
}
} else {
fp = stdout;
}
/* Print simulation trace */
dump_simtrace( play, spc.evar_list, spc.svar_list, fp );
if (fp != stdout)
fclose( fp );
}
Cudd_RecursiveDeref( manager, W );
Cudd_RecursiveDeref( manager, etrans );
Cudd_RecursiveDeref( manager, strans );
}
/* Clean-up */
free( metric_vars );
delete_tree( spc.evar_list );
delete_tree( spc.svar_list );
delete_tree( spc.env_init );
delete_tree( spc.sys_init );
delete_tree( spc.env_trans );
delete_tree( spc.sys_trans );
for (i = 0; i < spc.num_egoals; i++)
delete_tree( *(spc.env_goals+i) );
if (spc.num_egoals > 0)
free( spc.env_goals );
for (i = 0; i < spc.num_sgoals; i++)
delete_tree( *(spc.sys_goals+i) );
if (spc.num_sgoals > 0)
free( spc.sys_goals );
if (T != NULL)
Cudd_RecursiveDeref( manager, T );
if (strategy)
delete_aut( strategy );
if (verbose > 1)
logprint( "Cudd_CheckZeroRef -> %d", Cudd_CheckZeroRef( manager ) );
Cudd_Quit(manager);
if (logging_flag)
closelogfile();
/* Return 0 if realizable, -1 if not realizable. */
if (T != NULL) {
return 0;
} else {
return -1;
}
return 0;
}
anode_t *synthesize( DdManager *manager, unsigned char init_flags,
unsigned char verbose )
{
anode_t *strategy = NULL;
anode_t *this_node_stack = NULL;
anode_t *node, *new_node;
bool initial;
vartype *state;
vartype **env_moves;
int emoves_len;
ptree_t *var_separator;
DdNode *W;
DdNode *strans_into_W;
DdNode *einit, *sinit, *etrans, *strans, **egoals, **sgoals;
DdNode *ddval; /* Store result of evaluating a BDD */
DdNode ***Y = NULL;
DdNode *Y_i_primed;
int *num_sublevels;
DdNode ****X_ijr = NULL;
DdNode *tmp, *tmp2;
int i, j, r, k; /* Generic counters */
int offset;
bool env_nogoal_flag = False; /* Indicate environment has no goals */
int loop_mode;
int next_mode;
int num_env, num_sys;
int *cube; /* length will be twice total number of variables (to
account for both variables and their primes). */
/* Variables used during CUDD generation (state enumeration). */
DdGen *gen;
CUDD_VALUE_TYPE gvalue;
int *gcube;
/* Set environment goal to True (i.e., any state) if none was
given. This simplifies the implementation below. */
if (spc.num_egoals == 0) {
env_nogoal_flag = True;
spc.num_egoals = 1;
spc.env_goals = malloc( sizeof(ptree_t *) );
*spc.env_goals = init_ptree( PT_CONSTANT, NULL, 1 );
}
num_env = tree_size( spc.evar_list );
num_sys = tree_size( spc.svar_list );
/* State vector (i.e., valuation of the variables) */
state = malloc( sizeof(vartype)*(num_env+num_sys) );
if (state == NULL) {
perror( __FILE__ ", malloc" );
exit(-1);
}
/* Allocate cube array, used later for quantifying over variables. */
cube = (int *)malloc( sizeof(int)*2*(num_env+num_sys) );
if (cube == NULL) {
perror( __FILE__ ", malloc" );
exit(-1);
}
/* Chain together environment and system variable lists for
working with BDD library. */
if (spc.evar_list == NULL) {
var_separator = NULL;
spc.evar_list = spc.svar_list; /* that this is the deterministic case
is indicated by var_separator = NULL. */
} else {
var_separator = get_list_item( spc.evar_list, -1 );
if (var_separator == NULL) {
fprintf( stderr,
"Error: get_list_item failed on environment variables"
" list.\n" );
free( state );
free( cube );
return NULL;
}
var_separator->left = spc.svar_list;
}
/* Generate BDDs for the various parse trees from the problem spec. */
if (spc.env_init != NULL) {
einit = ptree_BDD( spc.env_init, spc.evar_list, manager );
} else {
einit = Cudd_ReadOne( manager );
Cudd_Ref( einit );
}
if (spc.sys_init != NULL) {
sinit = ptree_BDD( spc.sys_init, spc.evar_list, manager );
} else {
sinit = Cudd_ReadOne( manager );
Cudd_Ref( sinit );
}
if (verbose > 1)
logprint( "Building environment transition BDD..." );
etrans = ptree_BDD( spc.env_trans, spc.evar_list, manager );
if (verbose > 1) {
logprint( "Done." );
logprint( "Building system transition BDD..." );
}
strans = ptree_BDD( spc.sys_trans, spc.evar_list, manager );
if (verbose > 1)
logprint( "Done." );
/* Build goal BDDs, if present. */
if (spc.num_egoals > 0) {
egoals = malloc( spc.num_egoals*sizeof(DdNode *) );
for (i = 0; i < spc.num_egoals; i++)
*(egoals+i) = ptree_BDD( *(spc.env_goals+i), spc.evar_list, manager );
} else {
egoals = NULL;
}
if (spc.num_sgoals > 0) {
sgoals = malloc( spc.num_sgoals*sizeof(DdNode *) );
for (i = 0; i < spc.num_sgoals; i++)
*(sgoals+i) = ptree_BDD( *(spc.sys_goals+i), spc.evar_list, manager );
} else {
sgoals = NULL;
}
if (var_separator == NULL) {
spc.evar_list = NULL;
} else {
var_separator->left = NULL;
}
W = compute_winning_set_BDD( manager, etrans, strans, egoals, sgoals,
verbose );
if (W == NULL) {
fprintf( stderr,
"Error synthesize: failed to construct winning set.\n" );
free( state );
free( cube );
return NULL;
}
Y = compute_sublevel_sets( manager, W, etrans, strans,
egoals, spc.num_egoals,
sgoals, spc.num_sgoals,
&num_sublevels, &X_ijr, verbose );
if (Y == NULL) {
fprintf( stderr,
"Error synthesize: failed to construct sublevel sets.\n" );
free( state );
free( cube );
return NULL;
}
/* The sublevel sets are exactly as resulting from the vanilla
fixed point formula. Thus for each system goal i, Y_0 = \emptyset,
and Y_1 is a union of i-goal states and environment-blocking states.
For the purpose of synthesis, it is enough to delete Y_0 and
replace Y_1 with the intersection of i-goal states and the
winning set, and then shift the indices down (so that Y_1 is
now called Y_0, Y_2 is now called Y_1, etc.) */
for (i = 0; i < spc.num_sgoals; i++) {
Cudd_RecursiveDeref( manager, *(*(Y+i)) );
Cudd_RecursiveDeref( manager, *(*(Y+i)+1) );
for (r = 0; r < spc.num_egoals; r++)
Cudd_RecursiveDeref( manager, *(*(*(X_ijr+i))+r) );
free( *(*(X_ijr+i)) );
*(*(Y+i)+1) = Cudd_bddAnd( manager, *(sgoals+i), W );
Cudd_Ref( *(*(Y+i)+1) );
(*(num_sublevels+i))--;
for (j = 0; j < *(num_sublevels+i); j++) {
*(*(Y+i)+j) = *(*(Y+i)+j+1);
*(*(X_ijr+i)+j) = *(*(X_ijr+i)+j+1);
}
assert( *(num_sublevels+i) > 0 );
*(Y+i) = realloc( *(Y+i), (*(num_sublevels+i))*sizeof(DdNode *) );
*(X_ijr+i) = realloc( *(X_ijr+i),
(*(num_sublevels+i))*sizeof(DdNode **) );
if (*(Y+i) == NULL || *(X_ijr+i) == NULL) {
perror( __FILE__ ", realloc" );
exit(-1);
}
}
/* Make primed form of W and take conjunction with system
transition (safety) formula, for use while stepping down Y_i
sets. Note that we assume the variable map has been
appropriately defined in the CUDD manager, after the call to
compute_winning_set_BDD above. */
tmp = Cudd_bddVarMap( manager, W );
if (tmp == NULL) {
fprintf( stderr,
"Error synthesize: Error in swapping variables with primed"
" forms.\n" );
free( state );
free( cube );
return NULL;
}
Cudd_Ref( tmp );
strans_into_W = Cudd_bddAnd( manager, strans, tmp );
Cudd_Ref( strans_into_W );
Cudd_RecursiveDeref( manager, tmp );
/* From each initial state, build strategy by propagating forward
toward the next goal (current target goal specified by "mode"
of a state), and iterating until every reached state and mode
combination has already been encountered (whence the
strategy already built). */
if (init_flags == ALL_INIT
|| (init_flags == ONE_SIDE_INIT && spc.sys_init == NULL)) {
if (init_flags == ALL_INIT) {
if (verbose > 1)
logprint( "Enumerating initial states, given init_flags ="
" ALL_INIT" );
tmp = Cudd_bddAnd( manager, einit, sinit );
} else {
if (verbose > 1)
logprint( "Enumerating initial states, given init_flags ="
" ONE_SIDE_INIT and empty SYSINIT" );
tmp = einit;
Cudd_Ref( tmp );
}
Cudd_Ref( tmp );
Cudd_AutodynDisable( manager );
Cudd_ForeachCube( manager, tmp, gen, gcube, gvalue ) {
initialize_cube( state, gcube, num_env+num_sys );
while (!saturated_cube( state, gcube, num_env+num_sys )) {
this_node_stack = insert_anode( this_node_stack, 0, -1, False,
state, num_env+num_sys );
if (this_node_stack == NULL) {
fprintf( stderr,
"Error synthesize: building list of initial"
" states.\n" );
return NULL;
}
increment_cube( state, gcube, num_env+num_sys );
}
this_node_stack = insert_anode( this_node_stack, 0, -1, False,
state, num_env+num_sys );
if (this_node_stack == NULL) {
fprintf( stderr,
"Error synthesize: building list of initial"
" states.\n" );
return NULL;
}
}
Cudd_AutodynEnable( manager, CUDD_REORDER_SAME );
Cudd_RecursiveDeref( manager, tmp );
} else if (init_flags == ALL_ENV_EXIST_SYS_INIT) {
static int compute_prob(void)
/* this is the function that implements the compute_prob predicate used in pp.pl
*/
{
YAP_Term out,arg1,arg2,arg3,arg4;
variables vars;
expr expression;
DdNode * function;
DdManager * mgr;
int nBVar,i,intBits,create_dot;
FILE * file;
DdNode * array[1];
double prob;
char * onames[1];
char inames[1000][20];
char * names[1000];
tablerow * nodes;
arg1=YAP_ARG1;
arg2=YAP_ARG2;
arg3=YAP_ARG3;
arg4=YAP_ARG4;
mgr=Cudd_Init(0,0,CUDD_UNIQUE_SLOTS,CUDD_CACHE_SLOTS,0);
create_dot=YAP_IntOfTerm(arg4);
vars=createVars(arg1,mgr,create_dot,inames);
//Cudd_PrintInfo(mgr,stderr);
/* automatic variable reordering, default method CUDD_REORDER_SIFT used */
//printf("status %d\n",Cudd_ReorderingStatus(mgr,&order));
//printf("order %d\n",order);
Cudd_AutodynEnable(mgr,CUDD_REORDER_SAME);
/* Cudd_AutodynEnable(mgr, CUDD_REORDER_RANDOM_PIVOT);
printf("status %d\n",Cudd_ReorderingStatus(mgr,&order));
printf("order %d\n",order);
printf("%d",CUDD_REORDER_RANDOM_PIVOT);
*/
expression=createExpression(arg2);
function=retFunction(mgr,expression,vars);
/* the BDD build by retFunction is converted to an ADD (algebraic decision diagram)
because it is easier to interpret and to print */
//add=Cudd_BddToAdd(mgr,function);
//Cudd_PrintInfo(mgr,stderr);
if (create_dot)
/* if specified by the user, a dot file for the BDD is written to cpl.dot */
{
nBVar=vars.nBVar;
for(i=0; i<nBVar; i++)
names[i]=inames[i];
array[0]=function;
onames[0]="Out";
file = open_file("cpl.dot", "w");
Cudd_DumpDot(mgr,1,array,names,onames,file);
fclose(file);
}
nodes=init_table(vars.nBVar);
intBits=sizeof(unsigned int)*8;
prob=Prob(function,vars,nodes);
out=YAP_MkFloatTerm(prob);
destroy_table(nodes,vars.nBVar);
Cudd_Quit(mgr);
for(i=0; i<vars.nVar; i++)
{
free(vars.varar[i].probabilities);
free(vars.varar[i].booleanVars);
}
free(vars.varar);
free(vars.bVar2mVar);
for(i=0; i<expression.nTerms; i++)
{
free(expression.terms[i].factors);
}
free(expression.terms);
return(YAP_Unify(out,arg3));
}
/**
* A function for switching automatic BDD optimisation (variable reordering) on and off
*
* @param enable Whether automatic optimisation should be enabled or not
* @author ehlers
*/
void BFBddManager::setAutomaticOptimisation(bool enable) {
if (enable)
Cudd_AutodynEnable(mgr, CUDD_REORDER_SAME);
else
Cudd_AutodynDisable(mgr);
}
static int compute_prob(void)
/* this is the function that implements the compute_prob predicate used in pp.pl
*/
{
YAP_Term out,arg1,arg2,arg3,arg4;
array_t * variables,* expression, * bVar2mVar;
DdNode * function, * add;
DdManager * mgr;
int nBVar,i,j,intBits,create_dot;
FILE * file;
DdNode * array[1];
char * onames[1];
char inames[1000][20];
char * names[1000];
GHashTable * nodes; /* hash table that associates nodes with their probability if already
computed, it is defined in glib */
Cudd_ReorderingType order;
arg1=YAP_ARG1;
arg2=YAP_ARG2;
arg3=YAP_ARG3;
arg4=YAP_ARG4;
mgr=Cudd_Init(0,0,CUDD_UNIQUE_SLOTS,CUDD_CACHE_SLOTS,0);
variables=array_alloc(variable,0);
bVar2mVar=array_alloc(int,0);
create_dot=YAP_IntOfTerm(arg4);
createVars(variables,arg1,mgr,bVar2mVar,create_dot,inames);
//Cudd_PrintInfo(mgr,stderr);
/* automatic variable reordering, default method CUDD_REORDER_SIFT used */
//printf("status %d\n",Cudd_ReorderingStatus(mgr,&order));
//printf("order %d\n",order);
Cudd_AutodynEnable(mgr,CUDD_REORDER_SAME);
/* Cudd_AutodynEnable(mgr, CUDD_REORDER_RANDOM_PIVOT);
printf("status %d\n",Cudd_ReorderingStatus(mgr,&order));
printf("order %d\n",order);
printf("%d",CUDD_REORDER_RANDOM_PIVOT);
*/
expression=array_alloc(array_t *,0);
createExpression(expression,arg2);
function=retFunction(mgr,expression,variables);
/* the BDD build by retFunction is converted to an ADD (algebraic decision diagram)
because it is easier to interpret and to print */
add=Cudd_BddToAdd(mgr,function);
//Cudd_PrintInfo(mgr,stderr);
if (create_dot)
/* if specified by the user, a dot file for the BDD is written to cpl.dot */
{
nBVar=array_n(bVar2mVar);
for(i=0;i<nBVar;i++)
names[i]=inames[i];
array[0]=add;
onames[0]="Out";
file = open_file("cpl.dot", "w");
Cudd_DumpDot(mgr,1,array,names,onames,file);
fclose(file);
}
nodes=g_hash_table_new(my_hash,my_equal);
intBits=sizeof(unsigned int)*8;
/* dividend is a global variable used by my_hash
it is equal to an unsigned int with binary representation 11..1 */
dividend=1;
for(j=1;j<intBits;j++)
{
dividend=(dividend<<1)+1;
}
out=YAP_MkFloatTerm(Prob(add,variables,bVar2mVar,nodes));
g_hash_table_foreach (nodes,dealloc,NULL);
g_hash_table_destroy(nodes);
Cudd_Quit(mgr);
array_free(variables);
array_free(bVar2mVar);
array_free(expression);
return(YAP_Unify(out,arg3));
}