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authorAlan Mishchenko <alanmi@berkeley.edu>2005-07-29 08:01:00 -0700
committerAlan Mishchenko <alanmi@berkeley.edu>2005-07-29 08:01:00 -0700
commit888e5bed5d7f56a5d86d91a6e8e88f3e5a3454dc (patch)
tree11d48c9e9069f54dc300c3571ae63c744c802c50 /src/bdd/cudd/testcudd.c
parent7f94414388cce67bd3cc1a6d6269f0ed31ed0d06 (diff)
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+/**CFile***********************************************************************
+
+ FileName [testcudd.c]
+
+ PackageName [cudd]
+
+ Synopsis [Sanity check tests for some CUDD functions.]
+
+ Description [testcudd reads a matrix with real coefficients and
+ transforms it into an ADD. It then performs various operations on
+ the ADD and on the BDD corresponding to the ADD pattern. Finally,
+ testcudd tests functions relate to Walsh matrices and matrix
+ multiplication.]
+
+ SeeAlso []
+
+ 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.h"
+#include "cuddInt.h"
+
+
+/*---------------------------------------------------------------------------*/
+/* Constant declarations */
+/*---------------------------------------------------------------------------*/
+
+#define TESTCUDD_VERSION "TestCudd Version #1.0, Release date 3/17/01"
+
+/*---------------------------------------------------------------------------*/
+/* Variable declarations */
+/*---------------------------------------------------------------------------*/
+
+#ifndef lint
+static char rcsid[] DD_UNUSED = "$Id: testcudd.c,v 1.1.1.1 2003/02/24 22:23:54 wjiang Exp $";
+#endif
+
+static char *onames[] = { "C", "M" }; /* names of functions to be dumped */
+
+/**AutomaticStart*************************************************************/
+
+/*---------------------------------------------------------------------------*/
+/* Static function prototypes */
+/*---------------------------------------------------------------------------*/
+
+static void usage ARGS((char * prog));
+static FILE *open_file ARGS((char *filename, char *mode));
+static int testIterators ARGS((DdManager *dd, DdNode *M, DdNode *C, int pr));
+static int testXor ARGS((DdManager *dd, DdNode *f, int pr, int nvars));
+static int testHamming ARGS((DdManager *dd, DdNode *f, int pr, int nvars));
+static int testWalsh ARGS((DdManager *dd, int N, int cmu, int approach, int pr));
+
+/**AutomaticEnd***************************************************************/
+
+
+/**Function********************************************************************
+
+ Synopsis [Main function for testcudd.]
+
+ Description []
+
+ SideEffects [None]
+
+ SeeAlso []
+
+******************************************************************************/
+int
+main(int argc, char **argv)
+{
+ FILE *fp; /* pointer to input file */
+ char *file = ""; /* 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 *one, *zero; /* fast access to constant functions */
+ 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, "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 = "-";
+ } 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);
+ one = DD_ONE(dd);
+ zero = DD_ZERO(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_ONE(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,nx+ny);
+ 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),one,C) != one) 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,onames,NULL,dfp);
+ } else {
+ retval = Cudd_DumpDot(dd,2,dfunc,NULL,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 */
+
+
+/*---------------------------------------------------------------------------*/
+/* Definition of static functions */
+/*---------------------------------------------------------------------------*/
+
+
+/**Function********************************************************************
+
+ Synopsis [Prints usage info for testcudd.]
+
+ Description []
+
+ SideEffects [None]
+
+ SeeAlso []
+
+******************************************************************************/
+static void
+usage(char *prog)
+{
+ (void) fprintf(stderr, "usage: %s [options] [file]\n", prog);
+ (void) fprintf(stderr, " -C\t\tuse CMU multiplication algorithm\n");
+ (void) fprintf(stderr, " -D\t\tenable automatic dynamic reordering\n");
+ (void) fprintf(stderr, " -H\t\tread matrix in Harwell format\n");
+ (void) fprintf(stderr, " -M\t\tturns off memory allocation recording\n");
+ (void) fprintf(stderr, " -P\t\tprint BDD heap profile\n");
+ (void) fprintf(stderr, " -S n\t\tnumber of slots for each subtable\n");
+ (void) fprintf(stderr, " -X n\t\ttarget maximum memory in bytes\n");
+ (void) fprintf(stderr, " -a n\t\tchoose reordering approach (0-13)\n");
+ (void) fprintf(stderr, " \t\t\t0: same as autoMethod\n");
+ (void) fprintf(stderr, " \t\t\t1: no reordering (default)\n");
+ (void) fprintf(stderr, " \t\t\t2: random\n");
+ (void) fprintf(stderr, " \t\t\t3: pivot\n");
+ (void) fprintf(stderr, " \t\t\t4: sifting\n");
+ (void) fprintf(stderr, " \t\t\t5: sifting to convergence\n");
+ (void) fprintf(stderr, " \t\t\t6: symmetric sifting\n");
+ (void) fprintf(stderr, " \t\t\t7: symmetric sifting to convergence\n");
+ (void) fprintf(stderr, " \t\t\t8-10: window of size 2-4\n");
+ (void) fprintf(stderr, " \t\t\t11-13: window of size 2-4 to conv.\n");
+ (void) fprintf(stderr, " \t\t\t14: group sifting\n");
+ (void) fprintf(stderr, " \t\t\t15: group sifting to convergence\n");
+ (void) fprintf(stderr, " \t\t\t16: simulated annealing\n");
+ (void) fprintf(stderr, " \t\t\t17: genetic algorithm\n");
+ (void) fprintf(stderr, " -b\t\tuse blif as format for dumps\n");
+ (void) fprintf(stderr, " -c\t\tclear the cache after each matrix\n");
+ (void) fprintf(stderr, " -d file\tdump DDs to file\n");
+ (void) fprintf(stderr, " -g\t\tselect aggregation criterion (0,5,7)\n");
+ (void) fprintf(stderr, " -h\t\tprints this message\n");
+ (void) fprintf(stderr, " -k\t\tprint the variable permutation\n");
+ (void) fprintf(stderr, " -m\t\tread multiple matrices (only with -H)\n");
+ (void) fprintf(stderr, " -n n\t\tnumber of variables\n");
+ (void) fprintf(stderr, " -p n\t\tcontrol verbosity\n");
+ (void) fprintf(stderr, " -v n\t\tinitial variables in the unique table\n");
+ (void) fprintf(stderr, " -x n\t\tinitial size of the cache\n");
+ exit(2);
+} /* end of usage */
+
+
+/**Function********************************************************************
+
+ Synopsis [Opens a file.]
+
+ Description [Opens a file, or fails with an error message and exits.
+ Allows '-' as a synonym for standard input.]
+
+ SideEffects [None]
+
+ SeeAlso []
+
+******************************************************************************/
+static FILE *
+open_file(char *filename, char *mode)
+{
+ FILE *fp;
+
+ if (strcmp(filename, "-") == 0) {
+ return mode[0] == 'r' ? stdin : stdout;
+ } else if ((fp = fopen(filename, mode)) == NULL) {
+ perror(filename);
+ exit(1);
+ }
+ return fp;
+
+} /* end of open_file */
+
+
+/**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 *one = DD_ONE(dd);
+ DdNode *zero = DD_ZERO(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,one,zero));
+ Cudd_Ref(v[i]=cuddUniqueInter(dd,3*i+1,one,zero));
+ Cudd_Ref(z[i]=cuddUniqueInter(dd,3*i+2,one,zero));
+ }
+ 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);
+ }
+ return(1);
+
+} /* end of testWalsh */
+
+/**Function********************************************************************
+
+ Synopsis [Tests iterators.]
+
+ Description [Tests iterators on cubes and nodes.]
+
+ SideEffects [None]
+
+ SeeAlso []
+
+******************************************************************************/
+static int
+testIterators(
+ DdManager *dd,
+ DdNode *M,
+ DdNode *C,
+ int pr)
+{
+ int *cube;
+ CUDD_VALUE_TYPE value;
+ DdGen *gen;
+ int q;
+
+ /* Test iterator for cubes. */
+ if (pr>1) {
+ (void) printf("Testing iterator on cubes:\n");
+ Cudd_ForeachCube(dd,M,gen,cube,value) {
+ for (q = 0; q < dd->size; q++) {
+ switch (cube[q]) {
+ case 0:
+ (void) printf("0");
+ break;
+ case 1:
+ (void) printf("1");
+ break;
+ case 2:
+ (void) printf("-");
+ break;
+ default:
+ (void) printf("?");
+ }
+ }
+ (void) printf(" %g\n",value);
+ }
+ (void) printf("\n");
+ }
+
+ if (pr>1) {
+ (void) printf("Testing prime expansion of cubes:\n");
+ if (!Cudd_bddPrintCover(dd,C,C)) return(0);
+ }
+
+ /* Test iterator on nodes. */
+ if (pr>2) {
+ DdGen *gen;
+ DdNode *node;
+ (void) printf("Testing iterator on nodes:\n");
+ Cudd_ForeachNode(dd,M,gen,node) {
+ if (Cudd_IsConstant(node)) {
+#if SIZEOF_VOID_P == 8
+ (void) printf("ID = 0x%lx\tvalue = %-9g\n",
+ (unsigned long) node /
+ (unsigned long) sizeof(DdNode),
+ Cudd_V(node));
+#else
+ (void) printf("ID = 0x%x\tvalue = %-9g\n",
+ (unsigned int) node /
+ (unsigned int) sizeof(DdNode),
+ Cudd_V(node));
+#endif
+ } else {
+#if SIZEOF_VOID_P == 8
+ (void) printf("ID = 0x%lx\tindex = %d\tr = %d\n",
+ (unsigned long) node /
+ (unsigned long) sizeof(DdNode),
+ node->index, node->ref);
+#else
+ (void) printf("ID = 0x%x\tindex = %d\tr = %d\n",
+ (unsigned int) node /
+ (unsigned int) sizeof(DdNode),
+ node->index, node->ref);
+#endif
+ }
+ }
+ (void) printf("\n");
+ }
+ return(1);
+
+} /* end of testIterators */
+
+
+/**Function********************************************************************
+
+ Synopsis [Tests the functions related to the exclusive OR.]
+
+ Description [Tests the functions related to the exclusive OR. It
+ builds the boolean difference of the given function in three
+ different ways and checks that the results is the same. Returns 1 if
+ successful; 0 otherwise.]
+
+ SideEffects [None]
+
+ SeeAlso []
+
+******************************************************************************/
+static int
+testXor(DdManager *dd, DdNode *f, int pr, int nvars)
+{
+ DdNode *f1, *f0, *res1, *res2;
+ int x;
+
+ /* Extract cofactors w.r.t. mid variable. */
+ x = nvars / 2;
+ f1 = Cudd_Cofactor(dd,f,dd->vars[x]);
+ if (f1 == NULL) return(0);
+ Cudd_Ref(f1);
+
+ f0 = Cudd_Cofactor(dd,f,Cudd_Not(dd->vars[x]));
+ if (f0 == NULL) {
+ Cudd_RecursiveDeref(dd,f1);
+ return(0);
+ }
+ Cudd_Ref(f0);
+
+ /* Compute XOR of cofactors with ITE. */
+ res1 = Cudd_bddIte(dd,f1,Cudd_Not(f0),f0);
+ if (res1 == NULL) return(0);
+ Cudd_Ref(res1);
+
+ if (pr>0) {(void) printf("xor1"); Cudd_PrintDebug(dd,res1,nvars,pr);}
+
+ /* Compute XOR of cofactors with XOR. */
+ res2 = Cudd_bddXor(dd,f1,f0);
+ if (res2 == NULL) {
+ Cudd_RecursiveDeref(dd,res1);
+ return(0);
+ }
+ Cudd_Ref(res2);
+
+ if (res1 != res2) {
+ if (pr>0) {(void) printf("xor2"); Cudd_PrintDebug(dd,res2,nvars,pr);}
+ Cudd_RecursiveDeref(dd,res1);
+ Cudd_RecursiveDeref(dd,res2);
+ return(0);
+ }
+ Cudd_RecursiveDeref(dd,res1);
+ Cudd_RecursiveDeref(dd,f1);
+ Cudd_RecursiveDeref(dd,f0);
+
+ /* Compute boolean difference directly. */
+ res1 = Cudd_bddBooleanDiff(dd,f,x);
+ if (res1 == NULL) {
+ Cudd_RecursiveDeref(dd,res2);
+ return(0);
+ }
+ Cudd_Ref(res1);
+
+ if (res1 != res2) {
+ if (pr>0) {(void) printf("xor3"); Cudd_PrintDebug(dd,res1,nvars,pr);}
+ Cudd_RecursiveDeref(dd,res1);
+ Cudd_RecursiveDeref(dd,res2);
+ return(0);
+ }
+ Cudd_RecursiveDeref(dd,res1);
+ Cudd_RecursiveDeref(dd,res2);
+ return(1);
+
+} /* end of testXor */
+
+
+/**Function********************************************************************
+
+ Synopsis [Tests the Hamming distance functions.]
+
+ Description [Tests the Hammming distance functions. Returns
+ 1 if successful; 0 otherwise.]
+
+ SideEffects [None]
+
+ SeeAlso []
+
+******************************************************************************/
+static int
+testHamming(
+ DdManager *dd,
+ DdNode *f,
+ int pr,
+ int nvars)
+{
+ DdNode **vars, *minBdd, *zero, *scan;
+ int i;
+ int d;
+ int *minterm;
+ int size = Cudd_ReadSize(dd);
+
+ vars = ALLOC(DdNode *, size);
+ if (vars == NULL) return(0);
+ for (i = 0; i < size; i++) {
+ vars[i] = Cudd_bddIthVar(dd,i);
+ }
+
+ minBdd = Cudd_bddPickOneMinterm(dd,Cudd_Not(f),vars,size);
+ Cudd_Ref(minBdd);
+ if (pr > 0) {
+ (void) printf("Chosen minterm for Hamming distance test: ");
+ Cudd_PrintDebug(dd,minBdd,size,pr);
+ }
+
+ minterm = ALLOC(int,size);
+ if (minterm == NULL) {
+ FREE(vars);
+ Cudd_RecursiveDeref(dd,minBdd);
+ return(0);
+ }
+ scan = minBdd;
+ zero = Cudd_Not(DD_ONE(dd));
+ while (!Cudd_IsConstant(scan)) {
+ DdNode *R = Cudd_Regular(scan);
+ DdNode *T = Cudd_T(R);
+ DdNode *E = Cudd_E(R);
+ if (R != scan) {
+ T = Cudd_Not(T);
+ E = Cudd_Not(E);
+ }
+ if (T == zero) {
+ minterm[R->index] = 0;
+ scan = E;
+ } else {
+ minterm[R->index] = 1;
+ scan = T;
+ }
+ }
+ Cudd_RecursiveDeref(dd,minBdd);
+
+ d = Cudd_MinHammingDist(dd,f,minterm,size);
+
+ (void) printf("Minimum Hamming distance = %d\n", d);
+
+ FREE(vars);
+ FREE(minterm);
+ return(1);
+
+} /* end of testHamming */