/**
* @brief Basic test of Cudd_CountMinterm().
* @return 0 if successful; -1 otherwise.
*/
static int
testCount(int verbosity)
{
DdManager *dd;
DdNode *h;
int i, ret;
int const N = 2044; /* number of variables */
dd = Cudd_Init(N, 0, CUDD_UNIQUE_SLOTS, CUDD_CACHE_SLOTS, 0);
if (!dd) {
if (verbosity) {
printf("initialization failed\n");
}
return -1;
}
/* Build a cube with N/2 variables. */
h = Cudd_ReadOne(dd);
Cudd_Ref(h);
for (i = 0; i < N; i += 2) {
DdNode *var, *tmp;
var = Cudd_bddIthVar(dd, N-i-1);
tmp = Cudd_bddAnd(dd, h, var);
if (!tmp) {
Cudd_Quit(dd);
return -1;
}
Cudd_Ref(tmp);
Cudd_RecursiveDeref(dd, h);
h = tmp;
}
if (verbosity) {
printf("h (dbl) ");
Cudd_PrintDebug(dd, h, N, 1);
printf("h (apa) ");
Cudd_PrintSummary(dd, h, N, 1);
}
Cudd_RecursiveDeref(dd, h);
if (verbosity) {
printf("one[%d] (dbl) ", N);
Cudd_PrintDebug(dd, Cudd_ReadOne(dd), N, 1);
printf("one[%d] (apa) ", N);
Cudd_PrintSummary(dd, Cudd_ReadOne(dd), N, 1);
ret = Cudd_CheckZeroRef(dd);
printf("one[%d] (dbl) ", N+1);
Cudd_PrintDebug(dd, Cudd_ReadOne(dd), N+1, 1);
printf("one[%d] (apa) ", N+1);
Cudd_PrintSummary(dd, Cudd_ReadOne(dd), N+1, 1);
ret = Cudd_CheckZeroRef(dd);
}
if (verbosity && ret != 0) {
printf("%d non-zero references\n", ret);
}
Cudd_Quit(dd);
return 0;
}
/**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 */
/**Function********************************************************************
Synopsis [Tests Walsh matrix multiplication.]
Description [Tests Walsh matrix multiplication. Return 1 if successful;
0 otherwise.]
SideEffects [May create new variables in the manager.]
SeeAlso []
******************************************************************************/
static int
testWalsh(
DdManager *dd /* manager */,
int N /* number of variables */,
int cmu /* use CMU approach to matrix multiplication */,
int approach /* reordering approach */,
int pr /* verbosity level */)
{
DdNode *walsh1, *walsh2, *wtw;
DdNode **x, **v, **z;
int i, retval;
DdNode *_true = DD_TRUE(dd);
DdNode *_false = DD_FALSE(dd);
if (N > 3) {
x = ALLOC(DdNode *,N);
v = ALLOC(DdNode *,N);
z = ALLOC(DdNode *,N);
for (i = N-1; i >= 0; i--) {
Cudd_Ref(x[i]=cuddUniqueInter(dd,3*i,_true,_false));
Cudd_Ref(v[i]=cuddUniqueInter(dd,3*i+1,_true,_false));
Cudd_Ref(z[i]=cuddUniqueInter(dd,3*i+2,_true,_false));
}
Cudd_Ref(walsh1 = Cudd_addWalsh(dd,v,z,N));
if (pr>0) {(void) printf("walsh1"); Cudd_PrintDebug(dd,walsh1,2*N,pr);}
Cudd_Ref(walsh2 = Cudd_addWalsh(dd,x,v,N));
if (cmu) {
Cudd_Ref(wtw = Cudd_addTimesPlus(dd,walsh2,walsh1,v,N));
} else {
Cudd_Ref(wtw = Cudd_addMatrixMultiply(dd,walsh2,walsh1,v,N));
}
if (pr>0) {(void) printf("wtw"); Cudd_PrintDebug(dd,wtw,2*N,pr);}
if (approach != CUDD_REORDER_NONE) {
#ifdef DD_DEBUG
retval = Cudd_DebugCheck(dd);
if (retval != 0) {
(void) fprintf(stderr,"Error reported by Cudd_DebugCheck\n");
return(0);
}
#endif
retval = Cudd_ReduceHeap(dd,(Cudd_ReorderingType)approach,5);
if (retval == 0) {
(void) fprintf(stderr,"Error reported by Cudd_ReduceHeap\n");
return(0);
}
#ifdef DD_DEBUG
retval = Cudd_DebugCheck(dd);
if (retval != 0) {
(void) fprintf(stderr,"Error reported by Cudd_DebugCheck\n");
return(0);
}
#endif
if (approach == CUDD_REORDER_SYMM_SIFT ||
approach == CUDD_REORDER_SYMM_SIFT_CONV) {
Cudd_SymmProfile(dd,0,dd->size-1);
}
}
/* Clean up. */
Cudd_RecursiveDeref(dd, wtw);
Cudd_RecursiveDeref(dd, walsh1);
Cudd_RecursiveDeref(dd, walsh2);
for (i=0; i < N; i++) {
Cudd_RecursiveDeref(dd, x[i]);
Cudd_RecursiveDeref(dd, v[i]);
Cudd_RecursiveDeref(dd, z[i]);
}
FREE(x);
FREE(v);
FREE(z);
}
/**Function********************************************************************
Synopsis [Repeated squaring algorithm for all-pairs shortest paths.]
Description []
SideEffects []
SeeAlso []
******************************************************************************/
static DdNode *
ntrSquare(
DdManager *dd /* manager */,
DdNode *D /* D(z,y): distance matrix */,
DdNode **x /* array of x variables */,
DdNode **y /* array of y variables */,
DdNode **z /* array of z variables */,
int vars /* number of variables in each of the three arrays */,
int pr /* verbosity level */,
int st /* use the selective trace algorithm */)
{
DdNode *zero;
DdNode *I; /* identity matirix */
DdNode *w, *V, *P, *M, *R, *RT;
DdNode *diff, *min, *minDiag;
int n;
int neg;
long start_time;
zero = Cudd_ReadZero(dd);
/* Make a working copy of the original matrix. */
R = D;
Cudd_Ref(R);
I = Cudd_addXeqy(dd,vars,z,y); /* identity matrix */
Cudd_Ref(I);
/* Make a copy of the matrix for the selective trace algorithm. */
diff = R;
Cudd_Ref(diff);
start_time = util_cpu_time();
for (n = vars; n >= 0; n--) {
printf("Starting iteration %d at time %s\n",vars-n,
util_print_time(util_cpu_time() - start_time));
/* Check for negative cycles: They are identified by negative
** elements on the diagonal.
*/
/* Extract values from the diagonal. */
Cudd_Ref(w = Cudd_addIte(dd,I,R,zero));
minDiag = Cudd_addFindMin(dd,w); /* no need to ref */
neg = Cudd_V(minDiag) < 0;
Cudd_RecursiveDeref(dd,w);
if (neg) {
Cudd_RecursiveDeref(dd,diff);
(void) printf("Negative cycle after %d iterations!\n",vars-n);
break;
}
/* Prepare the first operand of matrix multiplication:
** diff(z,y) -> RT(x,y) -> V(x,z)
*/
/* RT(x,y) */
Cudd_Ref(RT = Cudd_addSwapVariables(dd,diff,x,z,vars));
Cudd_RecursiveDeref(dd,diff);
/* V(x,z) */
Cudd_Ref(V = Cudd_addSwapVariables(dd,RT,y,z,vars));
Cudd_RecursiveDeref(dd,RT);
if (pr > 0) {
double pathcount;
(void) printf("V"); Cudd_PrintDebug(dd,V,2*vars,pr);
pathcount = Cudd_CountPath(V);
(void) printf("Path count = %g\n", pathcount);
}
/* V(x,z) * R(z,y) -> P(x,y) */
Cudd_Ref(P = Cudd_addTriangle(dd,V,R,z,vars));
Cudd_RecursiveDeref(dd,V);
/* P(x,y) => M(z,y) */
Cudd_Ref(M = Cudd_addSwapVariables(dd,P,x,z,vars));
Cudd_RecursiveDeref(dd,P);
if (pr>0) {(void) printf("M"); Cudd_PrintDebug(dd,M,2*vars,pr);}
/* min(z,y) */
Cudd_Ref(min = Cudd_addApply(dd,Cudd_addMinimum,R,M));
Cudd_RecursiveDeref(dd,M);
if (R == min) {
Cudd_RecursiveDeref(dd,min);
if (pr>0) {printf("Done after %d iterations\n",vars-n+1); }
break;
}
/* diff(z,y) */
if (st) {
Cudd_Ref(diff = Cudd_addApply(dd,Cudd_addDiff,min,R));
} else {
Cudd_Ref(diff = min);
}
Cudd_RecursiveDeref(dd,R);
R = min; /* keep a copy of matrix at current iter. */
if (pr > 0) {
double pathcount;
(void) printf("R"); Cudd_PrintDebug(dd,R,2*vars,pr);
pathcount = Cudd_CountPath(R);
(void) printf("Path count = %g\n", pathcount);
}
if (n == 0) {
(void) printf("Negative cycle!\n");
break;
}
}
Cudd_RecursiveDeref(dd,I);
Cudd_Deref(R);
return(R);
} /* end of ntrSquare */
/**Function********************************************************************
Synopsis [Floyd-Warshall algorithm for all-pair shortest paths.]
Description []
SideEffects []
SeeAlso []
******************************************************************************/
static DdNode *
ntrWarshall(
DdManager *dd,
DdNode *D,
DdNode **x,
DdNode **y,
int vars,
int pr)
{
DdNode *one, *zero;
DdNode *xminterm, *w, *V, *V2;
DdNode *P, *R;
int i;
int nodes;
int k,u;
long start_time;
if (vars > 30)
nodes = 1000000000;
else
nodes = 1 << vars;
one = DD_ONE(dd);
zero = DD_ZERO(dd);
Cudd_Ref(R = D); /* make copy of original matrix */
/* Extract pivot row and column from D */
start_time = util_cpu_time();
for (k = 0; k < nodes; k++) {
if (k % 10000 == 0) {
(void) printf("Starting iteration %d at time %s\n",
k,util_print_time(util_cpu_time() - start_time));
}
Cudd_Ref(xminterm = one);
u = k;
for (i = vars-1; i >= 0; i--) {
if (u&1) {
Cudd_Ref(w = Cudd_addIte(dd,x[i],xminterm,zero));
} else {
Cudd_Ref(w = Cudd_addIte(dd,x[i],zero,xminterm));
}
Cudd_RecursiveDeref(dd,xminterm);
xminterm = w;
u >>= 1;
}
Cudd_Ref(V = Cudd_Cofactor(dd,R,xminterm));
Cudd_RecursiveDeref(dd,xminterm);
if (pr>2) {(void) printf("V"); Cudd_PrintDebug(dd,V,vars,pr);}
Cudd_Ref(xminterm = one);
u = k;
for (i = vars-1; i >= 0; i--) {
if (u&1) {
Cudd_Ref(w = Cudd_addIte(dd,y[i],xminterm,zero));
} else {
Cudd_Ref(w = Cudd_addIte(dd,y[i],zero,xminterm));
}
Cudd_RecursiveDeref(dd,xminterm);
xminterm = w;
u >>= 1;
}
Cudd_Ref(V2 = Cudd_Cofactor(dd,R,xminterm));
Cudd_RecursiveDeref(dd,xminterm);
if (pr>2) {(void) printf("V2"); Cudd_PrintDebug(dd,V2,vars,pr);}
Cudd_Ref(P = Cudd_addOuterSum(dd,R,V,V2));
Cudd_RecursiveDeref(dd,V);
Cudd_RecursiveDeref(dd,V2);
Cudd_RecursiveDeref(dd,R);
R = P;
if (pr>2) {(void) printf("R"); Cudd_PrintDebug(dd,R,vars,pr);}
}
Cudd_Deref(R);
return(R);
} /* end of ntrWarshall */
/**Function********************************************************************
Synopsis [Bellman-Ford algorithm for single-source shortest paths.]
Description [Bellman-Ford algorithm for single-source shortest
paths. Returns the vector of the distances of all states from the
initial states. In case of multiple initial states the distance for
each state is from the nearest initial state. Negative-weight
cycles are detected, though only in the naive way. (Lack of
convergence after nodes-1 iterations.) In such a case, a constant
ADD with value minus infinity is returned. Bellman-Ford is based on
matrix-vector multiplication. The matrix is the distance matrix
D(x,y), such that D(a,b) is the length of the arc connecting state a
to state b. The vector V(x) stores the distances of all states from
the initial states. The actual vector used in the matrix-vector
multiplication is diff(x), that holds those distances that have
changed during the last update.]
SideEffects []
SeeAlso [ntrWarshall ntrSquare]
******************************************************************************/
static DdNode *
ntrBellman(
DdManager *dd,
DdNode *D,
DdNode *source,
DdNode **x,
DdNode **y,
int vars,
int pr)
{
DdNode *u, *w, *V, *min, *diff;
DdApaNumber i, nodes, one;
int digits = vars + 1;
/* To avoid overflow when there are many variables, use APA. */
nodes = Cudd_NewApaNumber(digits);
Cudd_ApaPowerOfTwo(digits,nodes,vars);
i = Cudd_NewApaNumber(digits);
one = Cudd_NewApaNumber(digits);
Cudd_ApaSetToLiteral(digits,one,1);
#if 0
/* Find the distances from the initial state along paths using one
** arc. */
w = Cudd_Cofactor(dd,D,source); /* works only if source is a cube */
Cudd_Ref(w);
V = Cudd_addSwapVariables(dd,w,x,y,vars);
Cudd_Ref(V);
Cudd_RecursiveDeref(dd,w);
#endif
/* The initial states are at distance 0. The other states are
** initially at infinite distance. */
V = Cudd_addIte(dd,source,Cudd_ReadZero(dd),Cudd_ReadPlusInfinity(dd));
Cudd_Ref(V);
/* Selective trace algorithm. For the next update, only consider the
** nodes whose distance has changed in the last update. */
diff = V;
Cudd_Ref(diff);
for (Cudd_ApaSetToLiteral(digits,i,1);
Cudd_ApaCompare(digits,i,digits,nodes) < 0;
Cudd_ApaAdd(digits,i,one,i)) {
if (pr>2) {(void) printf("V"); Cudd_PrintDebug(dd,V,vars,pr);}
/* Compute the distances via triangulation as a function of x. */
w = Cudd_addTriangle(dd,diff,D,x,vars);
Cudd_Ref(w);
Cudd_RecursiveDeref(dd,diff);
u = Cudd_addSwapVariables(dd,w,x,y,vars);
Cudd_Ref(u);
Cudd_RecursiveDeref(dd,w);
if (pr>2) {(void) printf("u"); Cudd_PrintDebug(dd,u,vars,pr);}
/* Take the minimum of the previous distances and those just
** computed. */
min = Cudd_addApply(dd,Cudd_addMinimum,V,u);
Cudd_Ref(min);
Cudd_RecursiveDeref(dd,u);
if (pr>2) {(void) printf("min"); Cudd_PrintDebug(dd,min,vars,pr);}
if (V == min) { /* convergence */
Cudd_RecursiveDeref(dd,min);
if (pr>0) {
(void) printf("Terminating after ");
Cudd_ApaPrintDecimal(stdout,digits,i);
(void) printf(" iterations\n");
}
break;
}
/* Find the distances that decreased. */
diff = Cudd_addApply(dd,Cudd_addDiff,V,min);
Cudd_Ref(diff);
if (pr>2) {(void) printf("diff"); Cudd_PrintDebug(dd,diff,vars,pr);}
Cudd_RecursiveDeref(dd,V);
V = min;
}
/* Negative cycle detection. */
if (Cudd_ApaCompare(digits,i,digits,nodes) == 0 &&
diff != Cudd_ReadPlusInfinity(dd)) {
(void) printf("Negative cycle\n");
Cudd_RecursiveDeref(dd,diff);
Cudd_RecursiveDeref(dd,V);
V = Cudd_ReadMinusInfinity(dd);
Cudd_Ref(V);
}
Cudd_Deref(V);
FREE(i);
FREE(nodes);
FREE(one);
return(V);
} /* end of ntrBellman */
/**Function********************************************************************
Synopsis [Computes shortest paths in a state graph.]
Description [Computes shortest paths in the state transition graph of
a network. Three methods are availabe:
<ul>
<li> Bellman-Ford algorithm for single-source shortest paths; the
algorithm computes the distance (number of transitions) from the initial
states to all states.
<li> Floyd-Warshall algorithm for all-pair shortest paths.
<li> Repeated squaring algorithm for all-pair shortest paths.
</ul>
The function returns 1 in case of success; 0 otherwise.
]
SideEffects [ADD variables are created in the manager.]
SeeAlso []
******************************************************************************/
int
Ntr_ShortestPaths(
DdManager * dd,
BnetNetwork * net,
NtrOptions * option)
{
NtrPartTR *TR;
DdNode *edges, *source, *res, *r, *q, *bddSource;
DdNode **xadd, **yadd, **zadd;
int i;
int pr = option->verb;
int algorithm = option->shortPath;
int selectiveTrace = option->selectiveTrace;
int nvars = net->nlatches;
/* Set background to infinity for shortest paths. */
Cudd_SetBackground(dd,Cudd_ReadPlusInfinity(dd));
/* Build the monolithic TR. */
TR = Ntr_buildTR(dd,net,option,NTR_IMAGE_MONO);
/* Build the ADD variable vectors for x and y. */
xadd = ALLOC(DdNode *, nvars);
yadd = ALLOC(DdNode *, nvars);
for(i = 0; i < nvars; i++) {
q = Cudd_addIthVar(dd,TR->x[i]->index);
Cudd_Ref(q);
xadd[i] = q;
q = Cudd_addIthVar(dd,TR->y[i]->index);
Cudd_Ref(q);
yadd[i] = q;
}
/* Convert the transition relation BDD into an ADD... */
q = Cudd_BddToAdd(dd,TR->part[0]);
Cudd_Ref(q);
/* ...replacing zeroes with infinities... */
r = Cudd_addIte(dd,q,Cudd_ReadOne(dd),Cudd_ReadPlusInfinity(dd));
Cudd_Ref(r);
Cudd_RecursiveDeref(dd,q);
/* ...and zeroing the diagonal. */
q = Cudd_addXeqy(dd,nvars,xadd,yadd);
Cudd_Ref(q);
edges = Cudd_addIte(dd,q,Cudd_ReadZero(dd),r);
Cudd_Ref(edges);
Cudd_RecursiveDeref(dd,r);
Cudd_RecursiveDeref(dd,q);
switch(algorithm) {
case NTR_SHORT_BELLMAN:
bddSource = Ntr_initState(dd,net,option);
source = Cudd_BddToAdd(dd,bddSource);
Cudd_Ref(source);
res = ntrBellman(dd,edges,source,xadd,yadd,nvars,pr);
if (res == NULL) return(0);
Cudd_Ref(res);
Cudd_RecursiveDeref(dd,source);
Cudd_RecursiveDeref(dd,bddSource);
if (pr >= 0) {
(void) fprintf(stdout,"Distance Matrix");
Cudd_PrintDebug(dd,res,nvars,pr);
}
break;
case NTR_SHORT_FLOYD:
res = ntrWarshall(dd,edges,xadd,yadd,nvars,pr);
if (res == NULL) return(0);
Cudd_Ref(res);
if (pr >= 0) {
(void) fprintf(stdout,"Distance Matrix");
Cudd_PrintDebug(dd,res,2*nvars,pr);
}
break;
case NTR_SHORT_SQUARE:
/* Create a third set of ADD variables. */
zadd = ALLOC(DdNode *, nvars);
for(i = 0; i < nvars; i++) {
int level;
level = Cudd_ReadIndex(dd,TR->x[i]->index);
q = Cudd_addNewVarAtLevel(dd,level);
Cudd_Ref(q);
zadd[i] = q;
}
/* Compute the shortest paths. */
res = ntrSquare(dd,edges,zadd,yadd,xadd,nvars,pr,selectiveTrace);
if (res == NULL) return(0);
Cudd_Ref(res);
/* Dispose of the extra variables. */
for(i = 0; i < nvars; i++) {
Cudd_RecursiveDeref(dd,zadd[i]);
}
FREE(zadd);
if (pr >= 0) {
(void) fprintf(stdout,"Distance Matrix");
Cudd_PrintDebug(dd,res,2*nvars,pr);
}
break;
default:
(void) printf("Unrecognized method. Try again.\n");
return(0);
}
/* Here we should compute the paths. */
/* Clean up. */
Ntr_freeTR(dd,TR);
Cudd_RecursiveDeref(dd,edges);
Cudd_RecursiveDeref(dd,res);
for(i = 0; i < nvars; i++) {
Cudd_RecursiveDeref(dd,xadd[i]);
Cudd_RecursiveDeref(dd,yadd[i]);
}
FREE(xadd);
FREE(yadd);
if (option->autoDyn & 1) {
(void) printf("Order after short path computation\n");
if (!Bnet_PrintOrder(net,dd)) return(0);
}
return(1);
} /* end of Ntr_ShortestPaths */
void BddBuilder::dotDumpC(DdNode ** ddNodes,int& number_of_diff_output,char** diff_output){
char filename[128];
DdNode * dumpdd[1];
char * dumpname[1];
int res;
int * index_of_diff_output;
int j=0;
index_of_diff_output = new int[__outputWireCnt];
for(int i=0 ; i<__outputWireCnt ; ++i){
if(ddNodes[i] != NULL){
number_of_diff_output++;
index_of_diff_output[j++] = i;
printf("%s\n",__ppOutputNodesNames[i]);
sprintf(filename, "./dotdump/dumpC_%s.dot", __ppOutputNodesNames[i]);
FILE * fp = fopen(filename, "w");
dumpdd[0] = ddNodes[i];
dumpname[0] = __ppOutputNodesNames[i];
res = Cudd_DumpDot(__pddManager, 1, dumpdd, __ppInputNodesNames, dumpname, fp);
fclose(fp);
sprintf(filename, "./factored/dumpC_factored_%s", __ppOutputNodesNames[i]);
fp = fopen(filename, "w");
Cudd_DumpFactoredForm(__pddManager, 1, dumpdd, __ppInputNodesNames, dumpname, fp);
fclose(fp);
printf("Factored form(Boolean equation) written : %s\n", filename);
//Cudd_PrintDebug(__pddManager, dumpdd[0], Cudd_ReadSize(__pddManager), 4);
sprintf(filename, "./sop/%s.sop", __ppOutputNodesNames[i]);
FILE * fp_sop = fopen(filename, "w");
FILE * tmp;
FILE* debug = fopen("debug.txt","w");
printf("%s's SOP:\n", __ppOutputNodesNames[i]);
Cudd_bddPrintCover(__pddManager, dumpdd[0], dumpdd[0]);
//Cudd_PrintMinterm(__pddManager,dumpdd[0]);
tmp = Cudd_ReadStdout(__pddManager);
Cudd_SetStdout(__pddManager, fp_sop);
Cudd_bddPrintCover(__pddManager, dumpdd[0], dumpdd[0]);
//Cudd_PrintMinterm(__pddManager,dumpdd[0]);
//fprintf(fp_sop,"\n");
Cudd_SetStdout(__pddManager, debug);
Cudd_PrintDebug(__pddManager,dumpdd[0],Cudd_ReadSize(__pddManager),4);
Cudd_SetStdout(__pddManager, tmp);
fseek(fp_sop,-2,SEEK_END);
//fputc(0,fp_so;
fclose(fp_sop);
printf("SOP file written : %s\n\n", filename);
/*printf("Quine-Mccluskey for %s:\n", __ppOutputNodesNames[i]);
QuineMccluskey quine(filename);
printf("Quine-Mccluskey for %s Done.\n", __ppOutputNodesNames[i]);
*/
//Cudd_PrintMinterm(__pddManager, dumpdd[0]);
if(res == 1)
printf("DOT dump for C's %s completed.\n", __ppOutputNodesNames[i]);
else
printf("DOT dump for C's %s failed.\n", __ppOutputNodesNames[i]);
}
else
printf("DOT dump for C's %s not executed: A = B\n", __ppOutputNodesNames[i]);
}
for(int i=0;i<number_of_diff_output;i++){
strcpy(diff_output[i],__ppOutputNodesNames[index_of_diff_output[i]]);
}
delete index_of_diff_output;
}
/**Function********************************************************************
Synopsis [Main program for ntr.]
Description [Main program for ntr. Performs initialization. Reads command
line options and network(s). Builds BDDs with reordering, and optionally
does reachability analysis. Prints stats.]
SideEffects [None]
SeeAlso []
******************************************************************************/
int
main(
int argc,
char ** argv)
{
NtrOptions *option; /* options */
FILE *fp1; /* first network file pointer */
BnetNetwork *net1 = NULL; /* first network */
FILE *fp2; /* second network file pointer */
BnetNetwork *net2 = NULL; /* second network */
DdManager *dd; /* pointer to DD manager */
int exitval; /* return value of Cudd_CheckZeroRef */
int ok; /* overall return value from main() */
int result; /* stores the return value of functions */
BnetNode *node; /* auxiliary pointer to network node */
int i; /* loop index */
int j; /* loop index */
double *signatures; /* array of signatures */
int pr; /* verbosity level */
int reencoded; /* linear transformations attempted */
/* Initialize. */
option = mainInit();
ntrReadOptions(argc,argv,option);
pr = option->verb;
reencoded = option->reordering == CUDD_REORDER_LINEAR ||
option->reordering == CUDD_REORDER_LINEAR_CONVERGE ||
option->autoMethod == CUDD_REORDER_LINEAR ||
option->autoMethod == CUDD_REORDER_LINEAR_CONVERGE;
/* Currently traversal requires global BDDs. Override whatever
** was specified for locGlob.
*/
if (option->traverse == TRUE || option->envelope == TRUE ||
option->scc == TRUE) {
option->locGlob = BNET_GLOBAL_DD;
}
/* Read the first network... */
fp1 = open_file(option->file1, "r");
net1 = Bnet_ReadNetwork(fp1,pr);
(void) fclose(fp1);
if (net1 == NULL) {
(void) fprintf(stderr,"Syntax error in %s.\n",option->file1);
exit(2);
}
/* ... and optionally echo it to the standard output. */
if (pr > 2) {
Bnet_PrintNetwork(net1);
}
/* Read the second network... */
if (option->verify == TRUE || option->second == TRUE ||
option->clip > 0.0 || option->dontcares) {
fp2 = open_file(option->file2, "r");
net2 = Bnet_ReadNetwork(fp2,pr);
(void) fclose(fp2);
if (net2 == NULL) {
(void) fprintf(stderr,"Syntax error in %s.\n",option->file2);
exit(2);
}
/* ... and optionally echo it to the standard output. */
if (pr > 2) {
Bnet_PrintNetwork(net2);
}
}
/* Initialize manager. We start with 0 variables, because
** Ntr_buildDDs will create new variables rather than using
** whatever already exists.
*/
dd = startCudd(option,net1->ninputs);
if (dd == NULL) { exit(2); }
/* Build the BDDs for the nodes of the first network. */
result = Ntr_buildDDs(net1,dd,option,NULL);
if (result == 0) { exit(2); }
/* Build the BDDs for the nodes of the second network if requested. */
if (option->verify == TRUE || option->second == TRUE ||
option->clip > 0.0 || option->dontcares == TRUE) {
char *nodesave = option->node;
option->node = NULL;
result = Ntr_buildDDs(net2,dd,option,net1);
option->node = nodesave;
if (result == 0) { exit(2); }
}
if (option->noBuild == TRUE) {
Bnet_FreeNetwork(net1);
if (option->verify == TRUE || option->second == TRUE ||
option->clip > 0.0) {
Bnet_FreeNetwork(net2);
}
freeOption(option);
exit(0);
}
if (option->locGlob != BNET_LOCAL_DD) {
/* Print the order before the final reordering. */
(void) printf("Order before final reordering\n");
result = Bnet_PrintOrder(net1,dd);
if (result == 0) exit(2);
}
/* Perform final reordering */
if (option->zddtest == FALSE) {
result = reorder(net1,dd,option);
if (result == 0) exit(2);
/* Print final order. */
if ((option->reordering != CUDD_REORDER_NONE || option->gaOnOff) &&
option->locGlob != BNET_LOCAL_DD) {
(void) printf("New order\n");
result = Bnet_PrintOrder(net1,dd);
if (result == 0) exit(2);
}
/* Print the re-encoded inputs. */
if (pr >= 1 && reencoded == 1) {
for (i = 0; i < net1->npis; i++) {
if (!st_lookup(net1->hash,net1->inputs[i],&node)) {
exit(2);
}
(void) fprintf(stdout,"%s:",node->name);
Cudd_PrintDebug(dd,node->dd,Cudd_ReadSize(dd),pr);
}
for (i = 0; i < net1->nlatches; i++) {
if (!st_lookup(net1->hash,net1->latches[i][1],&node)) {
exit(2);
}
(void) fprintf(stdout,"%s:",node->name);
Cudd_PrintDebug(dd,node->dd,Cudd_ReadSize(dd),pr);
}
if (pr >= 3) {
result = Cudd_PrintLinear(dd);
if (result == 0) exit(2);
}
}
}
/* Verify (combinational) equivalence. */
if (option->verify == TRUE) {
result = Ntr_VerifyEquivalence(dd,net1,net2,option);
if (result == 0) {
(void) printf("Verification abnormally terminated\n");
exit(2);
} else if (result == -1) {
(void) printf("Combinational verification failed\n");
} else {
(void) printf("Verification succeeded\n");
}
}
/* Traverse if requested and if the circuit is sequential. */
result = Ntr_Trav(dd,net1,option);
if (result == 0) exit(2);
/* Traverse with trasitive closure. */
result = Ntr_ClosureTrav(dd,net1,option);
if (result == 0) exit(2);
/* Compute outer envelope if requested and if the circuit is sequential. */
if (option->envelope == TRUE && net1->nlatches > 0) {
NtrPartTR *T;
T = Ntr_buildTR(dd,net1,option,option->image);
result = Ntr_Envelope(dd,T,NULL,option);
Ntr_freeTR(dd,T);
}
/* Compute SCCs if requested and if the circuit is sequential. */
result = Ntr_SCC(dd,net1,option);
if (result == 0) exit(2);
/* Test Constrain Decomposition. */
if (option->partition == TRUE && net1->nlatches > 0) {
NtrPartTR *T;
DdNode *product;
DdNode **decomp;
int sharingSize;
T = Ntr_buildTR(dd,net1,option,NTR_IMAGE_MONO);
decomp = Cudd_bddConstrainDecomp(dd,T->part[0]);
if (decomp == NULL) exit(2);
sharingSize = Cudd_SharingSize(decomp, Cudd_ReadSize(dd));
(void) fprintf(stdout, "Decomposition Size: %d components %d nodes\n",
Cudd_ReadSize(dd), sharingSize);
product = Cudd_ReadOne(dd);
Cudd_Ref(product);
for (i = 0; i < Cudd_ReadSize(dd); i++) {
DdNode *intermediate = Cudd_bddAnd(dd, product, decomp[i]);
if (intermediate == NULL) {
exit(2);
}
Cudd_Ref(intermediate);
Cudd_IterDerefBdd(dd, product);
product = intermediate;
}
if (product != T->part[0])
exit(2);
Cudd_IterDerefBdd(dd, product);
for (i = 0; i < Cudd_ReadSize(dd); i++) {
Cudd_IterDerefBdd(dd, decomp[i]);
}
FREE(decomp);
Ntr_freeTR(dd,T);
}
/* Test char-to-vect conversion. */
result = Ntr_TestCharToVect(dd,net1,option);
if (result == 0) exit(2);
/* Test extraction of two-literal clauses. */
result = Ntr_TestTwoLiteralClauses(dd,net1,option);
if (result == 0) exit(2);
/* Test BDD minimization functions. */
result = Ntr_TestMinimization(dd,net1,net2,option);
if (result == 0) exit(2);
/* Test density-related functions. */
result = Ntr_TestDensity(dd,net1,option);
if (result == 0) exit(2);
/* Test decomposition functions. */
result = Ntr_TestDecomp(dd,net1,option);
if (result == 0) exit(2);
/* Test cofactor estimation functions. */
result = Ntr_TestCofactorEstimate(dd,net1,option);
if (result == 0) exit(2);
/* Test BDD clipping functions. */
result = Ntr_TestClipping(dd,net1,net2,option);
if (result == 0) exit(2);
/* Test BDD equivalence and containment under DC functions. */
result = Ntr_TestEquivAndContain(dd,net1,net2,option);
if (result == 0) exit(2);
/* Test BDD Cudd_bddClosestCube. */
result = Ntr_TestClosestCube(dd,net1,option);
if (result == 0) exit(2);
/* Test ZDDs if requested. */
if (option->stateOnly == FALSE && option->zddtest == TRUE) {
result = Ntr_testZDD(dd,net1,option);
if (result == 0)
(void) fprintf(stdout,"ZDD test failed.\n");
result = Ntr_testISOP(dd,net1,option);
if (result == 0)
(void) fprintf(stdout,"ISOP test failed.\n");
}
/* Compute maximum flow if requested and if the circuit is sequential. */
if (option->maxflow == TRUE && net1->nlatches > 0) {
result = Ntr_maxflow(dd,net1,option);
if (result == 0)
(void) fprintf(stdout,"Maxflow computation failed.\n");
}
/* Compute shortest paths if requested and if the circuit is sequential. */
if (option->shortPath != NTR_SHORT_NONE && net1->nlatches > 0) {
result = Ntr_ShortestPaths(dd,net1,option);
if (result == 0)
(void) fprintf(stdout,"Shortest paths computation failed.\n");
}
/* Compute output signatures if so requested. */
if (option->signatures) {
(void) printf("Positive cofactor measures\n");
for (i = 0; i < net1->noutputs; i++) {
if (!st_lookup(net1->hash,net1->outputs[i],&node)) {
exit(2);
}
signatures = Cudd_CofMinterm(dd, node->dd);
if (signatures) {
(void) printf("%s:\n", node->name);
for (j = 0; j < Cudd_ReadSize(dd); j++) {
if((j%5 == 0)&&i) (void) printf("\n");
(void) printf("%5d: %-#8.4g ", j, signatures[j]);
}
(void) printf("\n");
FREE(signatures);
} else {
(void) printf("Signature computation failed.\n");
}
}
}
/* Dump BDDs if so requested. */
if (option->bdddump && option->second == FALSE &&
option->density == FALSE && option->decomp == FALSE &&
option->cofest == FALSE && option->clip < 0.0 &&
option->scc == FALSE) {
(void) printf("Dumping BDDs to %s\n", option->dumpfile);
if (option->node != NULL) {
if (!st_lookup(net1->hash,option->node,&node)) {
exit(2);
}
result = Bnet_bddArrayDump(dd,net1,option->dumpfile,&(node->dd),
&(node->name),1,option->dumpFmt);
} else {
result = Bnet_bddDump(dd, net1, option->dumpfile,
option->dumpFmt, reencoded);
}
if (result != 1) {
(void) printf("BDD dump failed.\n");
}
}
/* Print stats and clean up. */
if (pr >= 0) {
result = Cudd_PrintInfo(dd,stdout);
if (result != 1) {
(void) printf("Cudd_PrintInfo failed.\n");
}
}
#if defined(DD_DEBUG) && !defined(DD_NO_DEATH_ROW)
(void) fprintf(dd->err,"%d empty slots in death row\n",
cuddTimesInDeathRow(dd,NULL));
#endif
(void) printf("Final size: %ld\n", Cudd_ReadNodeCount(dd));
/* Dispose of node BDDs. */
node = net1->nodes;
while (node != NULL) {
if (node->dd != NULL &&
node->type != BNET_INPUT_NODE &&
node->type != BNET_PRESENT_STATE_NODE) {
Cudd_IterDerefBdd(dd,node->dd);
}
node = node->next;
}
/* Dispose of network. */
Bnet_FreeNetwork(net1);
/* Do the same cleanup for the second network if it was created. */
if (option->verify == TRUE || option->second == TRUE ||
option->clip > 0.0 || option->dontcares == TRUE) {
node = net2->nodes;
while (node != NULL) {
if (node->dd != NULL &&
node->type != BNET_INPUT_NODE &&
node->type != BNET_PRESENT_STATE_NODE) {
Cudd_IterDerefBdd(dd,node->dd);
}
node = node->next;
}
Bnet_FreeNetwork(net2);
}
/* Check reference counts: At this point we should have dereferenced
** everything we had, except in the case of re-encoding.
*/
exitval = Cudd_CheckZeroRef(dd);
ok = exitval != 0; /* ok == 0 means O.K. */
if (exitval != 0) {
(void) fflush(stdout);
(void) fprintf(stderr,
"%d non-zero DD reference counts after dereferencing\n", exitval);
}
#ifdef DD_DEBUG
Cudd_CheckKeys(dd);
#endif
Cudd_Quit(dd);
if (pr >= 0) (void) printf("total time = %s\n",
util_print_time(util_cpu_time() - option->initialTime));
freeOption(option);
if (pr >= 0) util_print_cpu_stats(stdout);
#ifdef MNEMOSYNE
mnem_writestats();
#endif
exit(ok);
/* NOTREACHED */
} /* end of main */
