mirror of https://github.com/YosysHQ/abc.git
3347 lines
90 KiB
C
3347 lines
90 KiB
C
/**CFile****************************************************************
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FileName [abcSaucy.c]
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SystemName [ABC: Logic synthesis and verification system.]
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PackageName [Symmetry Detection Package.]
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Synopsis [Finds symmetries under permutation (but not negation) of I/Os.]
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Author [Hadi Katebi]
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Affiliation [University of Michigan]
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Date [Ver. 1.0. Started - April, 2012.]
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Revision [No revisions so far]
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Comments []
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Debugging [There are some part of the code that are commented out. Those parts mostly print
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the contents of the data structures to the standard output. Un-comment them if you
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find them useful for debugging.]
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***********************************************************************/
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#include "base/abc/abc.h"
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#include "opt/sim/sim.h"
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ABC_NAMESPACE_IMPL_START
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/* on/off switches */
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#define REFINE_BY_SIM_1 0
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#define REFINE_BY_SIM_2 0
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#define BACKTRACK_BY_SAT 1
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#define SELECT_DYNAMICALLY 0
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/* number of iterations for sim1 and sim2 refinements */
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int NUM_SIM1_ITERATION;
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int NUM_SIM2_ITERATION;
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/* conflict analysis */
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#define CLAUSE_DECAY 0.9
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#define MAX_LEARNTS 50
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/*
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* saucy.c
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*
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* by Paul T. Darga <pdarga@umich.edu>
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* and Mark Liffiton <liffiton@umich.edu>
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* and Hadi Katebi <hadik@eecs.umich.edu>
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*
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* Copyright (C) 2004, The Regents of the University of Michigan
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* See the LICENSE file for details.
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*/
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struct saucy_stats {
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double grpsize_base;
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int grpsize_exp;
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int levels;
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int nodes;
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int bads;
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int gens;
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int support;
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};
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struct saucy_graph {
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int n;
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int e;
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int *adj;
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int *edg;
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};
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struct coloring {
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int *lab; /* Labelling of objects */
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int *unlab; /* Inverse of lab */
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int *cfront; /* Pointer to front of cells */
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int *clen; /* Length of cells (defined for cfront's) */
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};
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struct sim_result {
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int *inVec;
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int *outVec;
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int inVecSignature;
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int outVecOnes;
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double activity;
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};
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struct saucy {
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/* Graph data */
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int n; /* Size of domain */
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int *adj; /* Neighbors of k: edg[adj[k]]..edg[adj[k+1]] */
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int *edg; /* Actual neighbor data */
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int *dadj; /* Fanin neighbor indices, for digraphs */
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int *dedg; /* Fanin neighbor data, for digraphs */
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/* Coloring data */
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struct coloring left, right;
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int *nextnon; /* Forward next-nonsingleton pointers */
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int *prevnon; /* Backward next-nonsingleton pointers */
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/* Refinement: inducers */
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char *indmark; /* Induce marks */
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int *ninduce; /* Nonsingletons that might induce refinement */
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int *sinduce; /* Singletons that might induce refinement */
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int nninduce; /* Size of ninduce stack */
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int nsinduce; /* Size of sinduce stack */
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/* Refinement: marked cells */
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int *clist; /* List of cells marked for refining */
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int csize; /* Number of cells in clist */
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/* Refinement: workspace */
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char *stuff; /* Bit vector, but one char per bit */
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int *ccount; /* Number of connections to refining cell */
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int *bucket; /* Workspace */
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int *count; /* Num vertices with same adj count to ref cell */
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int *junk; /* More workspace */
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int *gamma; /* Working permutation */
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int *conncnts; /* Connection counts for cell fronts */
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/* Search data */
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int lev; /* Current search tree level */
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int anc; /* Level of greatest common ancestor with zeta */
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int *anctar; /* Copy of target cell at anc */
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int kanctar; /* Location within anctar to iterate from */
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int *start; /* Location of target at each level */
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int indmin; /* Used for group size computation */
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int match; /* Have we not diverged from previous left? */
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/* Search: orbit partition */
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int *theta; /* Running approximation of orbit partition */
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int *thsize; /* Size of cells in theta, defined for mcrs */
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int *thnext; /* Next rep in list (circular list) */
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int *thprev; /* Previous rep in list */
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int *threp; /* First rep for a given cell front */
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int *thfront; /* The cell front associated with this rep */
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/* Search: split record */
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int *splitvar; /* The actual value of the splits on the left-most branch */
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int *splitwho; /* List of where splits occurred */
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int *splitfrom; /* List of cells which were split */
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int *splitlev; /* Where splitwho/from begins for each level */
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int nsplits; /* Number of splits at this point */
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/* Search: differences from leftmost */
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char *diffmark; /* Marked for diff labels */
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int *diffs; /* List of diff labels */
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int *difflev; /* How many labels diffed at each level */
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int ndiffs; /* Current number of diffs */
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int *undifflev; /* How many diff labels fixed at each level */
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int nundiffs; /* Current number of diffs in singletons (fixed) */
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int *unsupp; /* Inverted diff array */
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int *specmin; /* Speculated mappings */
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int *pairs; /* Not-undiffed diffs that can make two-cycles */
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int *unpairs; /* Indices into pairs */
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int npairs; /* Number of such pairs */
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int *diffnons; /* Diffs that haven't been undiffed */
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int *undiffnons; /* Inverse of that */
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int ndiffnons; /* Number of such diffs */
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/* Polymorphic functions */
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int (*split)(struct saucy *, struct coloring *, int, int);
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int (*is_automorphism)(struct saucy *);
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int (*ref_singleton)(struct saucy *, struct coloring *, int);
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int (*ref_nonsingle)(struct saucy *, struct coloring *, int);
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void (*select_decomposition)(struct saucy *, int *, int *, int *);
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/* Statistics structure */
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struct saucy_stats *stats;
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/* New data structures for Boolean formulas */
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Abc_Ntk_t * pNtk;
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Abc_Ntk_t * pNtk_permuted;
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int * depAdj;
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int * depEdg;
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Vec_Int_t ** iDep, ** oDep;
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Vec_Int_t ** obs, ** ctrl;
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Vec_Ptr_t ** topOrder;
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Vec_Ptr_t * randomVectorArray_sim1;
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int * randomVectorSplit_sim1;
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Vec_Ptr_t * randomVectorArray_sim2;
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int * randomVectorSplit_sim2;
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char * marks;
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int * pModel;
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Vec_Ptr_t * satCounterExamples;
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double activityInc;
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int fBooleanMatching;
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int fPrintTree;
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int fLookForSwaps;
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FILE * gFile;
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int (*refineBySim1)(struct saucy *, struct coloring *);
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int (*refineBySim2)(struct saucy *, struct coloring *);
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int (*print_automorphism)(FILE *f, int n, const int *gamma, int nsupp, const int *support, char * marks, Abc_Ntk_t * pNtk);
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};
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static int *ints(int n) { return ABC_ALLOC(int, n); }
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static int *zeros(int n) { return ABC_CALLOC(int, n); }
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static char *bits(int n) { return ABC_CALLOC(char, n); }
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static char * getVertexName(Abc_Ntk_t *pNtk, int v);
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static int * generateProperInputVector(Abc_Ntk_t * pNtk, struct coloring *c, Vec_Int_t * randomVector);
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static int ifInputVectorsAreConsistent(struct saucy * s, int * leftVec, int * rightVec);
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static int ifOutputVectorsAreConsistent(struct saucy * s, int * leftVec, int * rightVec);
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static Vec_Ptr_t ** findTopologicalOrder(Abc_Ntk_t * pNtk);
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static void getDependencies(Abc_Ntk_t *pNtk, Vec_Int_t** iDep, Vec_Int_t** oDep);
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static struct saucy_graph * buildDepGraph (Abc_Ntk_t *pNtk, Vec_Int_t ** iDep, Vec_Int_t ** oDep);
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static struct saucy_graph * buildSim1Graph(Abc_Ntk_t * pNtk, struct coloring *c, Vec_Int_t * randVec, Vec_Int_t ** iDep, Vec_Int_t ** oDep);
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static struct saucy_graph * buildSim2Graph(Abc_Ntk_t * pNtk, struct coloring *c, Vec_Int_t * randVec, Vec_Int_t ** iDep, Vec_Int_t ** oDep, Vec_Ptr_t ** topOrder, Vec_Int_t ** obs, Vec_Int_t ** ctrl);
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static Vec_Int_t * assignRandomBitsToCells(Abc_Ntk_t * pNtk, struct coloring *c);
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static int Abc_NtkCecSat_saucy(Abc_Ntk_t * pNtk1, Abc_Ntk_t * pNtk2, int * pModel);
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static struct sim_result * analyzeConflict(Abc_Ntk_t * pNtk, int * pModel, int fVerbose);
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static void bumpActivity (struct saucy * s, struct sim_result * cex);
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static void reduceDB(struct saucy * s);
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static int
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print_automorphism_ntk(FILE *f, int n, const int *gamma, int nsupp, const int *support, char * marks, Abc_Ntk_t * pNtk)
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{
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int i, j, k;
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/* We presume support is already sorted */
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for (i = 0; i < nsupp; ++i) {
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k = support[i];
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/* Skip elements already seen */
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if (marks[k]) continue;
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/* Start an orbit */
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marks[k] = 1;
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fprintf(f, "(%s", getVertexName(pNtk, k));
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/* Mark and notify elements in this orbit */
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for (j = gamma[k]; j != k; j = gamma[j]) {
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marks[j] = 1;
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fprintf(f, " %s", getVertexName(pNtk, j));
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}
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/* Finish off the orbit */
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fprintf(f, ")");
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}
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fprintf(f, "\n");
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/* Clean up after ourselves */
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for (i = 0; i < nsupp; ++i) {
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marks[support[i]] = 0;
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}
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return 1;
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}
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static int
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print_automorphism_ntk2(FILE *f, int n, const int *gamma, int nsupp, const int *support, char * marks, Abc_Ntk_t * pNtk)
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{
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int i, j, k;
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/* We presume support is already sorted */
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for (i = 0; i < nsupp; ++i) {
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k = support[i];
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/* Skip elements already seen */
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if (marks[k]) continue;
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/* Start an orbit */
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marks[k] = 1;
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fprintf(f, "%d", k-1);
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/* Mark and notify elements in this orbit */
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for (j = gamma[k]; j != k; j = gamma[j]) {
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marks[j] = 1;
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fprintf(f, " %d ", j-1);
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}
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/* Finish off the orbit */
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}
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fprintf(f, "-1\n");
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/* Clean up after ourselves */
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for (i = 0; i < nsupp; ++i) {
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marks[support[i]] = 0;
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}
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return 1;
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}
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static int
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print_automorphism_quiet(FILE *f, int n, const int *gamma, int nsupp, const int *support, char * marks, Abc_Ntk_t * pNtk)
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{
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return 1;
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}
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static int
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array_find_min(const int *a, int n)
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{
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const int *start = a, *end = a + n, *min = a;
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while (++a != end) {
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if (*a < *min) min = a;
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}
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return min - start;
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}
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static void
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swap(int *a, int x, int y)
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{
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int tmp = a[x];
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a[x] = a[y];
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a[y] = tmp;
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}
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static void
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sift_up(int *a, int k)
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{
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int p;
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do {
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p = k / 2;
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if (a[k] <= a[p]) {
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return;
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}
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else {
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swap(a, k, p);
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k = p;
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}
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} while (k > 1);
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}
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static void
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sift_down(int *a, int n)
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{
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int p = 1, k = 2;
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while (k <= n) {
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if (k < n && a[k] < a[k+1]) ++k;
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if (a[p] < a[k]) {
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swap(a, p, k);
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p = k;
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k = 2 * p;
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}
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else {
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return;
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}
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}
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}
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static void
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heap_sort(int *a, int n)
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{
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int i;
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for (i = 1; i < n; ++i) {
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sift_up(a-1, i+1);
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}
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--i;
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while (i > 0) {
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swap(a, 0, i);
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sift_down(a-1, i--);
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}
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}
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static void
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insertion_sort(int *a, int n)
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{
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int i, j, k;
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for (i = 1; i < n; ++i) {
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k = a[i];
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for (j = i; j > 0 && a[j-1] > k; --j) {
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a[j] = a[j-1];
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}
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a[j] = k;
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}
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}
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static int
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partition(int *a, int n, int m)
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{
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int f = 0, b = n;
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for (;;) {
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while (a[f] <= m) ++f;
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do --b; while (m <= a[b]);
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if (f < b) {
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swap(a, f, b);
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++f;
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}
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else break;
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}
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return f;
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}
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static int
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log_base2(int n)
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{
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int k = 0;
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while (n > 1) {
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++k;
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n >>= 1;
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}
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return k;
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}
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static int
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median(int a, int b, int c)
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{
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if (a <= b) {
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if (b <= c) return b;
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if (a <= c) return c;
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return a;
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}
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else {
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if (a <= c) return a;
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if (b <= c) return c;
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return b;
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}
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}
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static void
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introsort_loop(int *a, int n, int lim)
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{
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int p;
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while (n > 16) {
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if (lim == 0) {
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heap_sort(a, n);
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return;
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}
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--lim;
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p = partition(a, n, median(a[0], a[n/2], a[n-1]));
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introsort_loop(a + p, n - p, lim);
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n = p;
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}
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}
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static void
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introsort(int *a, int n)
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{
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introsort_loop(a, n, 2 * log_base2(n));
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insertion_sort(a, n);
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}
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static int
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do_find_min(struct coloring *c, int t)
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{
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return array_find_min(c->lab + t, c->clen[t] + 1) + t;
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}
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static int
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find_min(struct saucy *s, int t)
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{
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return do_find_min(&s->right, t);
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}
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static void
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set_label(struct coloring *c, int index, int value)
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{
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c->lab[index] = value;
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c->unlab[value] = index;
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}
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static void
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swap_labels(struct coloring *c, int a, int b)
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{
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int tmp = c->lab[a];
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set_label(c, a, c->lab[b]);
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set_label(c, b, tmp);
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}
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static void
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move_to_back(struct saucy *s, struct coloring *c, int k)
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{
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int cf = c->cfront[k];
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int cb = cf + c->clen[cf];
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int offset = s->conncnts[cf]++;
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/* Move this connected label to the back of its cell */
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swap_labels(c, cb - offset, c->unlab[k]);
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/* Add it to the cell list if it's the first one swapped */
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if (!offset) s->clist[s->csize++] = cf;
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}
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static void
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data_mark(struct saucy *s, struct coloring *c, int k)
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{
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int cf = c->cfront[k];
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/* Move connects to the back of nonsingletons */
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if (c->clen[cf]) move_to_back(s, c, k);
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}
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static void
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data_count(struct saucy *s, struct coloring *c, int k)
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{
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int cf = c->cfront[k];
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/* Move to back and count the number of connections */
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if (c->clen[cf] && !s->ccount[k]++) move_to_back(s, c, k);
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}
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static int
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check_mapping(struct saucy *s, const int *adj, const int *edg, int k)
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{
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int i, gk, ret = 1;
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/* Mark gamma of neighbors */
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for (i = adj[k]; i != adj[k+1]; ++i) {
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s->stuff[s->gamma[edg[i]]] = 1;
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}
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/* Check neighbors of gamma */
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gk = s->gamma[k];
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for (i = adj[gk]; ret && i != adj[gk+1]; ++i) {
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ret = s->stuff[edg[i]];
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}
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/* Clear out bit vector before we leave */
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for (i = adj[k]; i != adj[k+1]; ++i) {
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s->stuff[s->gamma[edg[i]]] = 0;
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}
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return ret;
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}
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static int
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add_conterexample(struct saucy *s, struct sim_result * cex)
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{
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int i;
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int nins = Abc_NtkPiNum(s->pNtk);
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struct sim_result * savedcex;
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cex->inVecSignature = 0;
|
|
for (i = 0; i < nins; i++) {
|
|
if (cex->inVec[i]) {
|
|
cex->inVecSignature += (cex->inVec[i] * i * i);
|
|
cex->inVecSignature ^= 0xABCD;
|
|
}
|
|
}
|
|
|
|
for (i = 0; i < Vec_PtrSize(s->satCounterExamples); i++) {
|
|
savedcex = (struct sim_result *)Vec_PtrEntry(s->satCounterExamples, i);
|
|
if (savedcex->inVecSignature == cex->inVecSignature) {
|
|
//bumpActivity(s, savedcex);
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
Vec_PtrPush(s->satCounterExamples, cex);
|
|
bumpActivity(s, cex);
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
is_undirected_automorphism(struct saucy *s)
|
|
{
|
|
int i, j, ret;
|
|
|
|
for (i = 0; i < s->ndiffs; ++i) {
|
|
j = s->unsupp[i];
|
|
if (!check_mapping(s, s->adj, s->edg, j)) return 0;
|
|
}
|
|
|
|
ret = Abc_NtkCecSat_saucy(s->pNtk, s->pNtk_permuted, s->pModel);
|
|
|
|
if( BACKTRACK_BY_SAT && !ret ) {
|
|
struct sim_result * cex;
|
|
|
|
cex = analyzeConflict( s->pNtk, s->pModel, s->fPrintTree );
|
|
add_conterexample(s, cex);
|
|
|
|
cex = analyzeConflict( s->pNtk_permuted, s->pModel, s->fPrintTree );
|
|
add_conterexample(s, cex);
|
|
|
|
s->activityInc *= (1 / CLAUSE_DECAY);
|
|
if (Vec_PtrSize(s->satCounterExamples) >= MAX_LEARNTS)
|
|
reduceDB(s);
|
|
}
|
|
|
|
return ret;
|
|
}
|
|
|
|
static int
|
|
is_directed_automorphism(struct saucy *s)
|
|
{
|
|
int i, j;
|
|
|
|
for (i = 0; i < s->ndiffs; ++i) {
|
|
j = s->unsupp[i];
|
|
if (!check_mapping(s, s->adj, s->edg, j)) return 0;
|
|
if (!check_mapping(s, s->dadj, s->dedg, j)) return 0;
|
|
}
|
|
return 1;
|
|
}
|
|
|
|
static void
|
|
add_induce(struct saucy *s, struct coloring *c, int who)
|
|
{
|
|
if (!c->clen[who]) {
|
|
s->sinduce[s->nsinduce++] = who;
|
|
}
|
|
else {
|
|
s->ninduce[s->nninduce++] = who;
|
|
}
|
|
s->indmark[who] = 1;
|
|
}
|
|
|
|
static void
|
|
fix_fronts(struct coloring *c, int cf, int ff)
|
|
{
|
|
int i, end = cf + c->clen[cf];
|
|
for (i = ff; i <= end; ++i) {
|
|
c->cfront[c->lab[i]] = cf;
|
|
}
|
|
}
|
|
|
|
static void
|
|
array_indirect_sort(int *a, const int *b, int n)
|
|
{
|
|
int h, i, j, k;
|
|
|
|
/* Shell sort, as implemented in nauty, (C) Brendan McKay */
|
|
j = n / 3;
|
|
h = 1;
|
|
do { h = 3 * h + 1; } while (h < j);
|
|
|
|
do {
|
|
for (i = h; i < n; ++i) {
|
|
k = a[i];
|
|
for (j = i; b[a[j-h]] > b[k]; ) {
|
|
a[j] = a[j-h];
|
|
if ((j -= h) < h) break;
|
|
}
|
|
a[j] = k;
|
|
}
|
|
h /= 3;
|
|
} while (h > 0);
|
|
}
|
|
|
|
static int
|
|
at_terminal(struct saucy *s)
|
|
{
|
|
return s->nsplits == s->n;
|
|
}
|
|
|
|
static void
|
|
add_diffnon(struct saucy *s, int k)
|
|
{
|
|
/* Only add if we're in a consistent state */
|
|
if (s->ndiffnons == -1) return;
|
|
|
|
s->undiffnons[k] = s->ndiffnons;
|
|
s->diffnons[s->ndiffnons++] = k;
|
|
}
|
|
|
|
static void
|
|
remove_diffnon(struct saucy *s, int k)
|
|
{
|
|
int j;
|
|
|
|
if (s->undiffnons[k] == -1) return;
|
|
|
|
j = s->diffnons[--s->ndiffnons];
|
|
s->diffnons[s->undiffnons[k]] = j;
|
|
s->undiffnons[j] = s->undiffnons[k];
|
|
|
|
s->undiffnons[k] = -1;
|
|
}
|
|
|
|
static void
|
|
add_diff(struct saucy *s, int k)
|
|
{
|
|
if (!s->diffmark[k]) {
|
|
s->diffmark[k] = 1;
|
|
s->diffs[s->ndiffs++] = k;
|
|
add_diffnon(s, k);
|
|
}
|
|
}
|
|
|
|
static int
|
|
is_a_pair(struct saucy *s, int k)
|
|
{
|
|
return s->unpairs[k] != -1;
|
|
}
|
|
|
|
static int
|
|
in_cell_range(struct coloring *c, int ff, int cf)
|
|
{
|
|
int cb = cf + c->clen[cf];
|
|
return cf <= ff && ff <= cb;
|
|
}
|
|
|
|
static void
|
|
add_pair(struct saucy *s, int k)
|
|
{
|
|
if (s->npairs != -1) {
|
|
s->unpairs[k] = s->npairs;
|
|
s->pairs[s->npairs++] = k;
|
|
}
|
|
}
|
|
|
|
static void
|
|
eat_pair(struct saucy *s, int k)
|
|
{
|
|
int j;
|
|
j = s->pairs[--s->npairs];
|
|
s->pairs[s->unpairs[k]] = j;
|
|
s->unpairs[j] = s->unpairs[k];
|
|
s->unpairs[k] = -1;
|
|
}
|
|
|
|
static void
|
|
pick_all_the_pairs(struct saucy *s)
|
|
{
|
|
int i;
|
|
for (i = 0; i < s->npairs; ++i) {
|
|
s->unpairs[s->pairs[i]] = -1;
|
|
}
|
|
s->npairs = 0;
|
|
}
|
|
|
|
static void
|
|
clear_undiffnons(struct saucy *s)
|
|
{
|
|
int i;
|
|
for (i = 0 ; i < s->ndiffnons ; ++i) {
|
|
s->undiffnons[s->diffnons[i]] = -1;
|
|
}
|
|
}
|
|
|
|
static void
|
|
fix_diff_singleton(struct saucy *s, int cf)
|
|
{
|
|
int r = s->right.lab[cf];
|
|
int l = s->left.lab[cf];
|
|
int rcfl;
|
|
|
|
if (!s->right.clen[cf] && r != l) {
|
|
|
|
/* Make sure diff is marked */
|
|
add_diff(s, r);
|
|
|
|
/* It is now undiffed since it is singleton */
|
|
++s->nundiffs;
|
|
remove_diffnon(s, r);
|
|
|
|
/* Mark the other if not singleton already */
|
|
rcfl = s->right.cfront[l];
|
|
if (s->right.clen[rcfl]) {
|
|
add_diff(s, l);
|
|
|
|
/* Check for pairs */
|
|
if (in_cell_range(&s->right, s->left.unlab[r], rcfl)) {
|
|
add_pair(s, l);
|
|
}
|
|
}
|
|
/* Otherwise we might be eating a pair */
|
|
else if (is_a_pair(s, r)) {
|
|
eat_pair(s, r);
|
|
}
|
|
}
|
|
}
|
|
|
|
static void
|
|
fix_diff_subtract(struct saucy *s, int cf, const int *a, const int *b)
|
|
{
|
|
int i, k;
|
|
int cb = cf + s->right.clen[cf];
|
|
|
|
/* Mark the contents of the first set */
|
|
for (i = cf; i <= cb; ++i) {
|
|
s->stuff[a[i]] = 1;
|
|
}
|
|
|
|
/* Add elements from second set not present in the first */
|
|
for (i = cf; i <= cb; ++i) {
|
|
k = b[i];
|
|
if (!s->stuff[k]) add_diff(s, k);
|
|
}
|
|
|
|
/* Clear the marks of the first set */
|
|
for (i = cf; i <= cb; ++i) {
|
|
s->stuff[a[i]] = 0;
|
|
}
|
|
}
|
|
|
|
static void
|
|
fix_diffs(struct saucy *s, int cf, int ff)
|
|
{
|
|
int min;
|
|
|
|
/* Check for singleton cases in both cells */
|
|
fix_diff_singleton(s, cf);
|
|
fix_diff_singleton(s, ff);
|
|
|
|
/* If they're both nonsingleton, do subtraction on smaller */
|
|
if (s->right.clen[cf] && s->right.clen[ff]) {
|
|
min = s->right.clen[cf] < s->right.clen[ff] ? cf : ff;
|
|
fix_diff_subtract(s, min, s->left.lab, s->right.lab);
|
|
fix_diff_subtract(s, min, s->right.lab, s->left.lab);
|
|
}
|
|
}
|
|
|
|
static void
|
|
split_color(struct coloring *c, int cf, int ff)
|
|
{
|
|
int cb, fb;
|
|
|
|
/* Fix lengths */
|
|
fb = ff - 1;
|
|
cb = cf + c->clen[cf];
|
|
c->clen[cf] = fb - cf;
|
|
c->clen[ff] = cb - ff;
|
|
|
|
/* Fix cell front pointers */
|
|
fix_fronts(c, ff, ff);
|
|
}
|
|
|
|
static void
|
|
split_common(struct saucy *s, struct coloring *c, int cf, int ff)
|
|
{
|
|
split_color(c, cf, ff);
|
|
|
|
/* Add to refinement */
|
|
if (s->indmark[cf] || c->clen[ff] < c->clen[cf]) {
|
|
add_induce(s, c, ff);
|
|
}
|
|
else {
|
|
add_induce(s, c, cf);
|
|
}
|
|
}
|
|
|
|
static int
|
|
split_left(struct saucy *s, struct coloring *c, int cf, int ff)
|
|
{
|
|
/* Record the split */
|
|
s->splitwho[s->nsplits] = ff;
|
|
s->splitfrom[s->nsplits] = cf;
|
|
++s->nsplits;
|
|
|
|
/* Do common splitting tasks */
|
|
split_common(s, c, cf, ff);
|
|
|
|
/* Always succeeds */
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
split_init(struct saucy *s, struct coloring *c, int cf, int ff)
|
|
{
|
|
split_left(s, c, cf, ff);
|
|
|
|
/* Maintain nonsingleton list for finding new targets */
|
|
if (c->clen[ff]) {
|
|
s->prevnon[s->nextnon[cf]] = ff;
|
|
s->nextnon[ff] = s->nextnon[cf];
|
|
s->prevnon[ff] = cf;
|
|
s->nextnon[cf] = ff;
|
|
}
|
|
if (!c->clen[cf]) {
|
|
s->nextnon[s->prevnon[cf]] = s->nextnon[cf];
|
|
s->prevnon[s->nextnon[cf]] = s->prevnon[cf];
|
|
}
|
|
|
|
/* Always succeeds */
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
split_other(struct saucy *s, struct coloring *c, int cf, int ff)
|
|
{
|
|
int k = s->nsplits;
|
|
|
|
/* Verify the split with init */
|
|
if (s->splitwho[k] != ff || s->splitfrom[k] != cf
|
|
|| k >= s->splitlev[s->lev]) {
|
|
return 0;
|
|
}
|
|
++s->nsplits;
|
|
|
|
/* Do common splitting tasks */
|
|
split_common(s, c, cf, ff);
|
|
|
|
/* Fix differences with init */
|
|
fix_diffs(s, cf, ff);
|
|
|
|
/* If we got this far we succeeded */
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
print_partition(struct coloring *left, struct coloring *right, int n, Abc_Ntk_t * pNtk, int fNames)
|
|
{
|
|
int i, j;
|
|
|
|
printf("top = |");
|
|
for(i = 0; i < n; i += (left->clen[i]+1)) {
|
|
for(j = 0; j < (left->clen[i]+1); j++) {
|
|
if (fNames) printf("%s ", getVertexName(pNtk, left->lab[i+j]));
|
|
else printf("%d ", left->lab[i+j]);
|
|
}
|
|
if((i+left->clen[i]+1) < n) printf("|");
|
|
}
|
|
printf("|\n");
|
|
|
|
/*printf("(cfront = {");
|
|
for (i = 0; i < n; i++)
|
|
printf("%d ", left->cfront[i]);
|
|
printf("})\n");*/
|
|
|
|
if (right == NULL) return 1;
|
|
|
|
printf("bot = |");
|
|
for(i = 0; i < n; i += (right->clen[i]+1)) {
|
|
for(j = 0; j < (right->clen[i]+1); j++) {
|
|
if (fNames) printf("%s ", getVertexName(pNtk, right->lab[i+j]));
|
|
else printf("%d ", right->lab[i+j]);
|
|
}
|
|
if((i+right->clen[i]+1) < n) printf("|");
|
|
}
|
|
printf("|\n");
|
|
|
|
/*printf("(cfront = {");
|
|
for (i = 0; i < n; i++)
|
|
printf("%d ", right->cfront[i]);
|
|
printf("})\n");*/
|
|
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
refine_cell(struct saucy *s, struct coloring *c,
|
|
int (*refine)(struct saucy *, struct coloring *, int))
|
|
{
|
|
int i, cf, ret = 1;
|
|
|
|
/*
|
|
* The connected list must be consistent. This is for
|
|
* detecting mappings across nodes at a given level. However,
|
|
* at the root of the tree, we never have to map with another
|
|
* node, so we lack this consistency constraint in that case.
|
|
*/
|
|
if (s->lev > 1) introsort(s->clist, s->csize);
|
|
|
|
/* Now iterate over the marked cells */
|
|
for (i = 0; ret && i < s->csize; ++i) {
|
|
cf = s->clist[i];
|
|
ret = refine(s, c, cf);
|
|
}
|
|
|
|
/* Clear the connected marks */
|
|
for (i = 0; i < s->csize; ++i) {
|
|
cf = s->clist[i];
|
|
s->conncnts[cf] = 0;
|
|
}
|
|
s->csize = 0;
|
|
return ret;
|
|
}
|
|
|
|
static int
|
|
maybe_split(struct saucy *s, struct coloring *c, int cf, int ff)
|
|
{
|
|
return cf == ff ? 1 : s->split(s, c, cf, ff);
|
|
}
|
|
|
|
static int
|
|
ref_single_cell(struct saucy *s, struct coloring *c, int cf)
|
|
{
|
|
int zcnt = c->clen[cf] + 1 - s->conncnts[cf];
|
|
return maybe_split(s, c, cf, cf + zcnt);
|
|
}
|
|
|
|
static int
|
|
ref_singleton(struct saucy *s, struct coloring *c,
|
|
const int *adj, const int *edg, int cf)
|
|
{
|
|
int i, k = c->lab[cf];
|
|
|
|
/* Find the cells we're connected to, and mark our neighbors */
|
|
for (i = adj[k]; i != adj[k+1]; ++i) {
|
|
data_mark(s, c, edg[i]);
|
|
}
|
|
|
|
/* Refine the cells we're connected to */
|
|
return refine_cell(s, c, ref_single_cell);
|
|
}
|
|
|
|
static int
|
|
ref_singleton_directed(struct saucy *s, struct coloring *c, int cf)
|
|
{
|
|
return ref_singleton(s, c, s->adj, s->edg, cf)
|
|
&& ref_singleton(s, c, s->dadj, s->dedg, cf);
|
|
}
|
|
|
|
static int
|
|
ref_singleton_undirected(struct saucy *s, struct coloring *c, int cf)
|
|
{
|
|
return ref_singleton(s, c, s->adj, s->edg, cf);
|
|
}
|
|
|
|
static int
|
|
ref_nonsingle_cell(struct saucy *s, struct coloring *c, int cf)
|
|
{
|
|
int cnt, i, cb, nzf, ff, fb, bmin, bmax;
|
|
|
|
/* Find the front and back */
|
|
cb = cf + c->clen[cf];
|
|
nzf = cb - s->conncnts[cf] + 1;
|
|
|
|
/* Prepare the buckets */
|
|
ff = nzf;
|
|
cnt = s->ccount[c->lab[ff]];
|
|
s->count[ff] = bmin = bmax = cnt;
|
|
s->bucket[cnt] = 1;
|
|
|
|
/* Iterate through the rest of the vertices */
|
|
while (++ff <= cb) {
|
|
cnt = s->ccount[c->lab[ff]];
|
|
|
|
/* Initialize intermediate buckets */
|
|
while (bmin > cnt) s->bucket[--bmin] = 0;
|
|
while (bmax < cnt) s->bucket[++bmax] = 0;
|
|
|
|
/* Mark this count */
|
|
++s->bucket[cnt];
|
|
s->count[ff] = cnt;
|
|
}
|
|
|
|
/* If they all had the same count, bail */
|
|
if (bmin == bmax && cf == nzf) return 1;
|
|
ff = fb = nzf;
|
|
|
|
/* Calculate bucket locations, sizes */
|
|
for (i = bmin; i <= bmax; ++i, ff = fb) {
|
|
if (!s->bucket[i]) continue;
|
|
fb = ff + s->bucket[i];
|
|
s->bucket[i] = fb;
|
|
}
|
|
|
|
/* Repair the partition nest */
|
|
for (i = nzf; i <= cb; ++i) {
|
|
s->junk[--s->bucket[s->count[i]]] = c->lab[i];
|
|
}
|
|
for (i = nzf; i <= cb; ++i) {
|
|
set_label(c, i, s->junk[i]);
|
|
}
|
|
|
|
/* Split; induce */
|
|
for (i = bmax; i > bmin; --i) {
|
|
ff = s->bucket[i];
|
|
if (ff && !s->split(s, c, cf, ff)) return 0;
|
|
}
|
|
|
|
/* If there was a zero area, then there's one more cell */
|
|
return maybe_split(s, c, cf, s->bucket[bmin]);
|
|
}
|
|
|
|
static int
|
|
ref_nonsingle(struct saucy *s, struct coloring *c,
|
|
const int *adj, const int *edg, int cf)
|
|
{
|
|
int i, j, k, ret;
|
|
const int cb = cf + c->clen[cf];
|
|
const int size = cb - cf + 1;
|
|
|
|
/* Double check for nonsingles which became singles later */
|
|
if (cf == cb) {
|
|
return ref_singleton(s, c, adj, edg, cf);
|
|
}
|
|
|
|
/* Establish connected list */
|
|
memcpy(s->junk, c->lab + cf, size * sizeof(int));
|
|
for (i = 0; i < size; ++i) {
|
|
k = s->junk[i];
|
|
for (j = adj[k]; j != adj[k+1]; ++j) {
|
|
data_count(s, c, edg[j]);
|
|
}
|
|
}
|
|
|
|
/* Refine the cells we're connected to */
|
|
ret = refine_cell(s, c, ref_nonsingle_cell);
|
|
|
|
/* Clear the counts; use lab because junk was overwritten */
|
|
for (i = cf; i <= cb; ++i) {
|
|
k = c->lab[i];
|
|
for (j = adj[k]; j != adj[k+1]; ++j) {
|
|
s->ccount[edg[j]] = 0;
|
|
}
|
|
}
|
|
|
|
return ret;
|
|
}
|
|
|
|
static int
|
|
ref_nonsingle_directed(struct saucy *s, struct coloring *c, int cf)
|
|
{
|
|
return ref_nonsingle(s, c, s->adj, s->edg, cf)
|
|
&& ref_nonsingle(s, c, s->dadj, s->dedg, cf);
|
|
}
|
|
|
|
static int
|
|
ref_nonsingle_undirected(struct saucy *s, struct coloring *c, int cf)
|
|
{
|
|
return ref_nonsingle(s, c, s->adj, s->edg, cf);
|
|
}
|
|
|
|
static void
|
|
clear_refine(struct saucy *s)
|
|
{
|
|
int i;
|
|
for (i = 0; i < s->nninduce; ++i) {
|
|
s->indmark[s->ninduce[i]] = 0;
|
|
}
|
|
for (i = 0; i < s->nsinduce; ++i) {
|
|
s->indmark[s->sinduce[i]] = 0;
|
|
}
|
|
s->nninduce = s->nsinduce = 0;
|
|
}
|
|
|
|
static int
|
|
refine(struct saucy *s, struct coloring *c)
|
|
{
|
|
int front;
|
|
|
|
/* Keep going until refinement stops */
|
|
while (1) {
|
|
|
|
/* If discrete, bail */
|
|
if (at_terminal(s)) {
|
|
clear_refine(s);
|
|
return 1;
|
|
};
|
|
|
|
/* Look for something else to refine on */
|
|
if (s->nsinduce) {
|
|
front = s->sinduce[--s->nsinduce];
|
|
s->indmark[front] = 0;
|
|
if (!s->ref_singleton(s, c, front)) break;
|
|
}
|
|
else if (s->nninduce) {
|
|
front = s->ninduce[--s->nninduce];
|
|
s->indmark[front] = 0;
|
|
if (!s->ref_nonsingle(s, c, front)) break;
|
|
}
|
|
else {
|
|
return 1;
|
|
};
|
|
}
|
|
|
|
clear_refine(s);
|
|
return 0;
|
|
}
|
|
|
|
static int
|
|
refineByDepGraph(struct saucy *s, struct coloring *c)
|
|
{
|
|
s->adj = s->depAdj;
|
|
s->edg = s->depEdg;
|
|
|
|
return refine(s, c);
|
|
}
|
|
|
|
static int
|
|
backtrackBysatCounterExamples(struct saucy *s, struct coloring *c)
|
|
{
|
|
int i, j, res;
|
|
struct sim_result * cex1, * cex2;
|
|
int * flag = zeros(Vec_PtrSize(s->satCounterExamples));
|
|
|
|
if (c == &s->left) return 1;
|
|
if (Vec_PtrSize(s->satCounterExamples) == 0) return 1;
|
|
|
|
for (i = 0; i < Vec_PtrSize(s->satCounterExamples); i++) {
|
|
cex1 = (struct sim_result *)Vec_PtrEntry(s->satCounterExamples, i);
|
|
|
|
for (j = 0; j < Vec_PtrSize(s->satCounterExamples); j++) {
|
|
if (flag[j]) continue;
|
|
|
|
cex2 = (struct sim_result *)Vec_PtrEntry(s->satCounterExamples, j);
|
|
res = ifInputVectorsAreConsistent(s, cex1->inVec, cex2->inVec);
|
|
|
|
if (res == -2) {
|
|
flag[j] = 1;
|
|
continue;
|
|
}
|
|
if (res == -1) break;
|
|
if (res == 0) continue;
|
|
|
|
if (cex1->outVecOnes != cex2->outVecOnes) {
|
|
bumpActivity(s, cex1);
|
|
bumpActivity(s, cex2);
|
|
ABC_FREE(flag);
|
|
return 0;
|
|
}
|
|
|
|
/* if two input vectors produce the same number of ones (look above), and
|
|
* pNtk's number of outputs is 1, then output vectors are definitely consistent. */
|
|
if (Abc_NtkPoNum(s->pNtk) == 1) continue;
|
|
|
|
if (!ifOutputVectorsAreConsistent(s, cex1->outVec, cex2->outVec)) {
|
|
bumpActivity(s, cex1);
|
|
bumpActivity(s, cex2);
|
|
ABC_FREE(flag);
|
|
return 0;
|
|
}
|
|
}
|
|
}
|
|
|
|
ABC_FREE(flag);
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
refineBySim1_init(struct saucy *s, struct coloring *c)
|
|
{
|
|
struct saucy_graph *g;
|
|
Vec_Int_t * randVec;
|
|
int i, j;
|
|
int allOutputsAreDistinguished;
|
|
int nsplits;
|
|
|
|
if (Abc_NtkPoNum(s->pNtk) == 1) return 1;
|
|
|
|
for (i = 0; i < NUM_SIM1_ITERATION; i++) {
|
|
|
|
/* if all outputs are distinguished, quit */
|
|
allOutputsAreDistinguished = 1;
|
|
for (j = 0; j < Abc_NtkPoNum(s->pNtk); j++) {
|
|
if (c->clen[j]) {
|
|
allOutputsAreDistinguished = 0;
|
|
break;
|
|
}
|
|
}
|
|
if (allOutputsAreDistinguished) break;
|
|
|
|
randVec = assignRandomBitsToCells(s->pNtk, c);
|
|
g = buildSim1Graph(s->pNtk, c, randVec, s->iDep, s->oDep);
|
|
assert(g != NULL);
|
|
|
|
s->adj = g->adj;
|
|
s->edg = g->edg;
|
|
|
|
nsplits = s->nsplits;
|
|
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
refine(s, c);
|
|
|
|
if (s->nsplits > nsplits) {
|
|
i = 0; /* reset i */
|
|
/* do more refinement by dependency graph */
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
refineByDepGraph(s, c);
|
|
}
|
|
|
|
Vec_IntFree(randVec);
|
|
ABC_FREE( g->adj );
|
|
ABC_FREE( g->edg );
|
|
ABC_FREE( g );
|
|
}
|
|
|
|
return 1;
|
|
}
|
|
|
|
|
|
static int
|
|
refineBySim1_left(struct saucy *s, struct coloring *c)
|
|
{
|
|
struct saucy_graph *g;
|
|
Vec_Int_t * randVec;
|
|
int i, j;
|
|
int allOutputsAreDistinguished;
|
|
int nsplits;
|
|
|
|
if (Abc_NtkPoNum(s->pNtk) == 1) return 1;
|
|
|
|
for (i = 0; i < NUM_SIM1_ITERATION; i++) {
|
|
|
|
/* if all outputs are distinguished, quit */
|
|
allOutputsAreDistinguished = 1;
|
|
for (j = 0; j < Abc_NtkPoNum(s->pNtk); j++) {
|
|
if (c->clen[j]) {
|
|
allOutputsAreDistinguished = 0;
|
|
break;
|
|
}
|
|
}
|
|
if (allOutputsAreDistinguished) break;
|
|
|
|
randVec = assignRandomBitsToCells(s->pNtk, c);
|
|
g = buildSim1Graph(s->pNtk, c, randVec, s->iDep, s->oDep);
|
|
assert(g != NULL);
|
|
|
|
s->adj = g->adj;
|
|
s->edg = g->edg;
|
|
|
|
nsplits = s->nsplits;
|
|
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
refine(s, c);
|
|
|
|
if (s->nsplits > nsplits) {
|
|
/* save the random vector */
|
|
Vec_PtrPush(s->randomVectorArray_sim1, randVec);
|
|
i = 0; /* reset i */
|
|
/* do more refinement by dependency graph */
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
refineByDepGraph(s, c);
|
|
}
|
|
else
|
|
Vec_IntFree(randVec);
|
|
|
|
ABC_FREE( g->adj );
|
|
ABC_FREE( g->edg );
|
|
ABC_FREE( g );
|
|
}
|
|
|
|
s->randomVectorSplit_sim1[s->lev] = Vec_PtrSize(s->randomVectorArray_sim1);
|
|
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
refineBySim1_other(struct saucy *s, struct coloring *c)
|
|
{
|
|
struct saucy_graph *g;
|
|
Vec_Int_t * randVec;
|
|
int i, j;
|
|
int ret, nsplits;
|
|
|
|
for (i = s->randomVectorSplit_sim1[s->lev-1]; i < s->randomVectorSplit_sim1[s->lev]; i++) {
|
|
randVec = (Vec_Int_t *)Vec_PtrEntry(s->randomVectorArray_sim1, i);
|
|
g = buildSim1Graph(s->pNtk, c, randVec, s->iDep, s->oDep);
|
|
|
|
if (g == NULL) {
|
|
assert(c == &s->right);
|
|
return 0;
|
|
}
|
|
|
|
s->adj = g->adj;
|
|
s->edg = g->edg;
|
|
|
|
nsplits = s->nsplits;
|
|
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
ret = refine(s, c);
|
|
|
|
if (s->nsplits == nsplits) {
|
|
assert(c == &s->right);
|
|
ret = 0;
|
|
}
|
|
|
|
if (ret) {
|
|
/* do more refinement now by dependency graph */
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
ret = refineByDepGraph(s, c);
|
|
}
|
|
|
|
ABC_FREE( g->adj );
|
|
ABC_FREE( g->edg );
|
|
ABC_FREE( g );
|
|
|
|
if (!ret) return 0;
|
|
}
|
|
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
refineBySim2_init(struct saucy *s, struct coloring *c)
|
|
{
|
|
struct saucy_graph *g;
|
|
Vec_Int_t * randVec;
|
|
int i, j;
|
|
int nsplits;
|
|
|
|
for (i = 0; i < NUM_SIM2_ITERATION; i++) {
|
|
randVec = assignRandomBitsToCells(s->pNtk, c);
|
|
g = buildSim2Graph(s->pNtk, c, randVec, s->iDep, s->oDep, s->topOrder, s->obs, s->ctrl);
|
|
assert(g != NULL);
|
|
|
|
s->adj = g->adj;
|
|
s->edg = g->edg;
|
|
|
|
nsplits = s->nsplits;
|
|
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
refine(s, c);
|
|
|
|
if (s->nsplits > nsplits) {
|
|
i = 0; /* reset i */
|
|
/* do more refinement by dependency graph */
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
refineByDepGraph(s, c);
|
|
}
|
|
|
|
Vec_IntFree(randVec);
|
|
|
|
ABC_FREE( g->adj );
|
|
ABC_FREE( g->edg );
|
|
ABC_FREE( g );
|
|
}
|
|
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
refineBySim2_left(struct saucy *s, struct coloring *c)
|
|
{
|
|
struct saucy_graph *g;
|
|
Vec_Int_t * randVec;
|
|
int i, j;
|
|
int nsplits;
|
|
|
|
for (i = 0; i < NUM_SIM2_ITERATION; i++) {
|
|
randVec = assignRandomBitsToCells(s->pNtk, c);
|
|
g = buildSim2Graph(s->pNtk, c, randVec, s->iDep, s->oDep, s->topOrder, s->obs, s->ctrl);
|
|
assert(g != NULL);
|
|
|
|
s->adj = g->adj;
|
|
s->edg = g->edg;
|
|
|
|
nsplits = s->nsplits;
|
|
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
refine(s, c);
|
|
|
|
if (s->nsplits > nsplits) {
|
|
/* save the random vector */
|
|
Vec_PtrPush(s->randomVectorArray_sim2, randVec);
|
|
i = 0; /* reset i */
|
|
/* do more refinement by dependency graph */
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
refineByDepGraph(s, c);
|
|
}
|
|
else
|
|
Vec_IntFree(randVec);
|
|
|
|
ABC_FREE( g->adj );
|
|
ABC_FREE( g->edg );
|
|
ABC_FREE( g );
|
|
}
|
|
|
|
s->randomVectorSplit_sim2[s->lev] = Vec_PtrSize(s->randomVectorArray_sim2);
|
|
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
refineBySim2_other(struct saucy *s, struct coloring *c)
|
|
{
|
|
struct saucy_graph *g;
|
|
Vec_Int_t * randVec;
|
|
int i, j;
|
|
int ret, nsplits;
|
|
|
|
for (i = s->randomVectorSplit_sim2[s->lev-1]; i < s->randomVectorSplit_sim2[s->lev]; i++) {
|
|
randVec = (Vec_Int_t *)Vec_PtrEntry(s->randomVectorArray_sim2, i);
|
|
g = buildSim2Graph(s->pNtk, c, randVec, s->iDep, s->oDep, s->topOrder, s->obs, s->ctrl);
|
|
|
|
if (g == NULL) {
|
|
assert(c == &s->right);
|
|
return 0;
|
|
}
|
|
|
|
s->adj = g->adj;
|
|
s->edg = g->edg;
|
|
|
|
nsplits = s->nsplits;
|
|
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
ret = refine(s, c);
|
|
|
|
if (s->nsplits == nsplits) {
|
|
assert(c == &s->right);
|
|
ret = 0;
|
|
}
|
|
|
|
if (ret) {
|
|
/* do more refinement by dependency graph */
|
|
for (j = 0; j < s->n; j += c->clen[j]+1)
|
|
add_induce(s, c, j);
|
|
ret = refineByDepGraph(s, c);
|
|
}
|
|
|
|
ABC_FREE( g->adj );
|
|
ABC_FREE( g->edg );
|
|
ABC_FREE( g );
|
|
|
|
if (!ret) {
|
|
assert(c == &s->right);
|
|
return 0;
|
|
}
|
|
}
|
|
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
check_OPP_only_has_swaps(struct saucy *s, struct coloring *c)
|
|
{
|
|
int j, cell;
|
|
Vec_Int_t * left_cfront, * right_cfront;
|
|
|
|
if (c == &s->left)
|
|
return 1;
|
|
|
|
left_cfront = Vec_IntAlloc (1);
|
|
right_cfront = Vec_IntAlloc (1);
|
|
|
|
for (cell = 0; cell < s->n; cell += (s->left.clen[cell]+1)) {
|
|
for (j = cell; j <= (cell+s->left.clen[cell]); j++) {
|
|
Vec_IntPush(left_cfront, s->left.cfront[s->right.lab[j]]);
|
|
Vec_IntPush(right_cfront, s->right.cfront[s->left.lab[j]]);
|
|
}
|
|
Vec_IntSortUnsigned(left_cfront);
|
|
Vec_IntSortUnsigned(right_cfront);
|
|
for (j = 0; j < Vec_IntSize(left_cfront); j++) {
|
|
if (Vec_IntEntry(left_cfront, j) != Vec_IntEntry(right_cfront, j)) {
|
|
Vec_IntFree(left_cfront);
|
|
Vec_IntFree(right_cfront);
|
|
return 0;
|
|
}
|
|
}
|
|
Vec_IntClear(left_cfront);
|
|
Vec_IntClear(right_cfront);
|
|
}
|
|
|
|
Vec_IntFree(left_cfront);
|
|
Vec_IntFree(right_cfront);
|
|
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
check_OPP_for_Boolean_matching(struct saucy *s, struct coloring *c)
|
|
{
|
|
int j, cell;
|
|
int countN1Left, countN2Left;
|
|
int countN1Right, countN2Right;
|
|
char *name;
|
|
|
|
if (c == &s->left)
|
|
return 1;
|
|
|
|
for (cell = 0; cell < s->n; cell += (s->right.clen[cell]+1)) {
|
|
countN1Left = countN2Left = countN1Right = countN2Right = 0;
|
|
|
|
for (j = cell; j <= (cell+s->right.clen[cell]); j++) {
|
|
|
|
name = getVertexName(s->pNtk, s->left.lab[j]);
|
|
assert(name[0] == 'N' && name[2] == ':');
|
|
if (name[1] == '1')
|
|
countN1Left++;
|
|
else {
|
|
assert(name[1] == '2');
|
|
countN2Left++;
|
|
}
|
|
|
|
name = getVertexName(s->pNtk, s->right.lab[j]);
|
|
assert(name[0] == 'N' && name[2] == ':');
|
|
if (name[1] == '1')
|
|
countN1Right++;
|
|
else {
|
|
assert(name[1] == '2');
|
|
countN2Right++;
|
|
}
|
|
|
|
}
|
|
|
|
if (countN1Left != countN2Right || countN2Left != countN1Right)
|
|
return 0;
|
|
}
|
|
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
double_check_OPP_isomorphism(struct saucy *s, struct coloring * c)
|
|
{
|
|
/* This is the new enhancement in saucy 3.0 */
|
|
int i, j, v, sum1, sum2, xor1, xor2;
|
|
|
|
if (c == &s->left)
|
|
return 1;
|
|
|
|
for (i = s->nsplits - 1; i > s->splitlev[s->lev-1]; --i) {
|
|
v = c->lab[s->splitwho[i]];
|
|
sum1 = xor1 = 0;
|
|
for (j = s->adj[v]; j < s->adj[v+1]; j++) {
|
|
sum1 += c->cfront[s->edg[j]];
|
|
xor1 ^= c->cfront[s->edg[j]];
|
|
}
|
|
v = s->left.lab[s->splitwho[i]];
|
|
sum2 = xor2 = 0;
|
|
for (j = s->adj[v]; j < s->adj[v+1]; j++) {
|
|
sum2 += s->left.cfront[s->edg[j]];
|
|
xor2 ^= s->left.cfront[s->edg[j]];
|
|
}
|
|
if ((sum1 != sum2) || (xor1 != xor2))
|
|
return 0;
|
|
v = c->lab[s->splitfrom[i]];
|
|
sum1 = xor1 = 0;
|
|
for (j = s->adj[v]; j < s->adj[v+1]; j++) {
|
|
sum1 += c->cfront[s->edg[j]];
|
|
xor1 ^= c->cfront[s->edg[j]];
|
|
}
|
|
v = s->left.lab[s->splitfrom[i]];
|
|
sum2 = xor2 = 0;
|
|
for (j = s->adj[v]; j < s->adj[v+1]; j++) {
|
|
sum2 += s->left.cfront[s->edg[j]];
|
|
xor2 ^= s->left.cfront[s->edg[j]];
|
|
}
|
|
if ((sum1 != sum2) || (xor1 != xor2))
|
|
return 0;
|
|
}
|
|
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
descend(struct saucy *s, struct coloring *c, int target, int min)
|
|
{
|
|
int back = target + c->clen[target];
|
|
|
|
/* Count this node */
|
|
++s->stats->nodes;
|
|
|
|
/* Move the minimum label to the back */
|
|
swap_labels(c, min, back);
|
|
|
|
/* Split the cell */
|
|
s->difflev[s->lev] = s->ndiffs;
|
|
s->undifflev[s->lev] = s->nundiffs;
|
|
++s->lev;
|
|
s->split(s, c, target, back);
|
|
|
|
/* Now go and do some work */
|
|
//print_partition(&s->left, NULL, s->n, s->pNtk, 1);
|
|
if (!refineByDepGraph(s, c)) return 0;
|
|
|
|
/* if we are looking for a Boolean matching, check the OPP and
|
|
* backtrack if the OPP maps part of one network to itself */
|
|
if (s->fBooleanMatching && !check_OPP_for_Boolean_matching(s, c)) return 0;
|
|
|
|
//print_partition(&s->left, NULL, s->n, s->pNtk, 1);
|
|
if (REFINE_BY_SIM_1 && !s->refineBySim1(s, c)) return 0;
|
|
|
|
//print_partition(&s->left, NULL, s->n, s->pNtk, 1);
|
|
if (REFINE_BY_SIM_2 && !s->refineBySim2(s, c)) return 0;
|
|
|
|
/* do the check once more, maybe the check fails, now that refinement is complete */
|
|
if (s->fBooleanMatching && !check_OPP_for_Boolean_matching(s, c)) return 0;
|
|
|
|
if (s->fLookForSwaps && !check_OPP_only_has_swaps(s, c)) return 0;
|
|
|
|
if (!double_check_OPP_isomorphism(s, c)) return 0;
|
|
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
select_smallest_max_connected_cell(struct saucy *s, int start, int end)
|
|
{
|
|
int smallest_cell = -1, cell;
|
|
int smallest_cell_size = s->n;
|
|
int max_connections = -1;
|
|
int * connection_list = zeros(s->n);
|
|
|
|
cell = start;
|
|
while( !s->left.clen[cell] ) cell++;
|
|
while( cell < end ) {
|
|
if (s->left.clen[cell] <= smallest_cell_size) {
|
|
int i, connections = 0;;
|
|
for (i = s->depAdj[s->left.lab[cell]]; i < s->depAdj[s->left.lab[cell]+1]; i++) {
|
|
if (!connection_list[s->depEdg[i]]) {
|
|
connections++;
|
|
connection_list[s->depEdg[i]] = 1;
|
|
}
|
|
}
|
|
if ((s->left.clen[cell] < smallest_cell_size) || (connections > max_connections)) {
|
|
smallest_cell_size = s->left.clen[cell];
|
|
max_connections = connections;
|
|
smallest_cell = cell;
|
|
}
|
|
for (i = s->depAdj[s->left.lab[cell]]; i < s->depAdj[s->left.lab[cell]+1]; i++)
|
|
connection_list[s->depEdg[i]] = 0;
|
|
}
|
|
cell = s->nextnon[cell];
|
|
}
|
|
|
|
ABC_FREE( connection_list );
|
|
return smallest_cell;
|
|
}
|
|
|
|
static int
|
|
descend_leftmost(struct saucy *s)
|
|
{
|
|
int target, min;
|
|
|
|
/* Keep going until we're discrete */
|
|
//print_partition(&s->left, NULL, s->n, s->pNtk, 1);
|
|
while (!at_terminal(s)) {
|
|
//target = min = s->nextnon[-1];
|
|
if (s->nextnon[-1] < Abc_NtkPoNum(s->pNtk))
|
|
target = min = select_smallest_max_connected_cell(s, s->nextnon[-1], Abc_NtkPoNum(s->pNtk));
|
|
else
|
|
target = min = select_smallest_max_connected_cell(s, Abc_NtkPoNum(s->pNtk), s->n);
|
|
if (s->fPrintTree)
|
|
printf("%s->%s\n", getVertexName(s->pNtk, s->left.lab[min]), getVertexName(s->pNtk, s->left.lab[min]));
|
|
s->splitvar[s->lev] = s->left.lab[min];
|
|
s->start[s->lev] = target;
|
|
s->splitlev[s->lev] = s->nsplits;
|
|
if (!descend(s, &s->left, target, min)) return 0;
|
|
}
|
|
s->splitlev[s->lev] = s->n;
|
|
return 1;
|
|
}
|
|
|
|
/*
|
|
* If the remaining nonsingletons in this partition match exactly
|
|
* those nonsingletons from the leftmost branch of the search tree,
|
|
* then there is no point in continuing descent.
|
|
*/
|
|
|
|
static int
|
|
zeta_fixed(struct saucy *s)
|
|
{
|
|
return s->ndiffs == s->nundiffs;
|
|
}
|
|
|
|
static void
|
|
select_dynamically(struct saucy *s, int *target, int *lmin, int *rmin)
|
|
{
|
|
/* Both clens are equal; this clarifies the code a bit */
|
|
const int *clen = s->left.clen;
|
|
int i, k;
|
|
//int cf;
|
|
|
|
/*
|
|
* If there's a pair, use it. pairs[0] should always work,
|
|
* but we use a checked loop instead because I'm not 100% sure
|
|
* I'm "unpairing" at every point I should be.
|
|
*/
|
|
for (i = 0; i < s->npairs; ++i) {
|
|
k = s->pairs[i];
|
|
*target = s->right.cfront[k];
|
|
*lmin = s->left.unlab[s->right.lab[s->left.unlab[k]]];
|
|
*rmin = s->right.unlab[k];
|
|
|
|
if (clen[*target]
|
|
&& in_cell_range(&s->left, *lmin, *target)
|
|
&& in_cell_range(&s->right, *rmin, *target))
|
|
return;
|
|
}
|
|
|
|
/* Diffnons is only consistent when there are no baddies */
|
|
/*if (s->ndiffnons != -1) {
|
|
*target = *lmin = *rmin = s->right.cfront[s->diffnons[0]];
|
|
return;
|
|
}*/
|
|
|
|
/* Pick any old target cell and element */
|
|
/*for (i = 0; i < s->ndiffs; ++i) {
|
|
cf = s->right.cfront[s->diffs[i]];
|
|
if (clen[cf]) {
|
|
*lmin = *rmin = *target = cf;
|
|
return;
|
|
}
|
|
}*/
|
|
|
|
for (i = 0; i < s->n; i += (clen[i]+1)) {
|
|
if (!clen[i]) continue;
|
|
*rmin = *lmin = *target = i;
|
|
if (s->right.cfront[s->left.lab[*lmin]] == *target)
|
|
*rmin = s->right.unlab[s->left.lab[*lmin]];
|
|
return;
|
|
}
|
|
|
|
/* we should never get here */
|
|
abort();
|
|
}
|
|
|
|
static void
|
|
select_statically(struct saucy *s, int *target, int *lmin, int *rmin)
|
|
{
|
|
int i;
|
|
|
|
*target = *rmin = s->left.cfront[s->splitvar[s->lev]];
|
|
*lmin = s->left.unlab[s->splitvar[s->lev]];
|
|
/* try to map identically! */
|
|
for (i = *rmin; i <= (*rmin + s->right.clen[*target]); i++)
|
|
if (s->right.lab[*rmin] == s->left.lab[*lmin]) {
|
|
*rmin = i;
|
|
break;
|
|
}
|
|
}
|
|
|
|
static int
|
|
descend_left(struct saucy *s)
|
|
{
|
|
int target, lmin, rmin;
|
|
|
|
/* Check that we ended at the right spot */
|
|
if (s->nsplits != s->splitlev[s->lev]) return 0;
|
|
|
|
/* Keep going until we're discrete */
|
|
while (!at_terminal(s) /*&& !zeta_fixed(s)*/) {
|
|
|
|
/* We can pick any old target cell and element */
|
|
s->select_decomposition(s, &target, &lmin, &rmin);
|
|
|
|
if (s->fPrintTree) {
|
|
//printf("in level %d: %d->%d\n", s->lev, s->left.lab[lmin], s->right.lab[rmin]);
|
|
printf("in level %d: %s->%s\n", s->lev, getVertexName(s->pNtk, s->left.lab[lmin]), getVertexName(s->pNtk, s->right.lab[rmin]));
|
|
}
|
|
|
|
/* Check if we need to refine on the left */
|
|
s->match = 0;
|
|
s->start[s->lev] = target;
|
|
s->split = split_left;
|
|
if (SELECT_DYNAMICALLY) {
|
|
s->refineBySim1 = refineBySim1_left;
|
|
s->refineBySim2 = refineBySim2_left;
|
|
}
|
|
descend(s, &s->left, target, lmin);
|
|
s->splitlev[s->lev] = s->nsplits;
|
|
s->split = split_other;
|
|
if (SELECT_DYNAMICALLY) {
|
|
s->refineBySim1 = refineBySim1_other;
|
|
s->refineBySim2 = refineBySim2_other;
|
|
}
|
|
--s->lev;
|
|
s->nsplits = s->splitlev[s->lev];
|
|
|
|
/* Now refine on the right and ensure matching */
|
|
s->specmin[s->lev] = s->right.lab[rmin];
|
|
if (!descend(s, &s->right, target, rmin)) return 0;
|
|
if (s->nsplits != s->splitlev[s->lev]) return 0;
|
|
}
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
find_representative(int k, int *theta)
|
|
{
|
|
int rep, tmp;
|
|
|
|
/* Find the minimum cell representative */
|
|
for (rep = k; rep != theta[rep]; rep = theta[rep]);
|
|
|
|
/* Update all intermediaries */
|
|
while (theta[k] != rep) {
|
|
tmp = theta[k]; theta[k] = rep; k = tmp;
|
|
}
|
|
return rep;
|
|
}
|
|
|
|
static void
|
|
update_theta(struct saucy *s)
|
|
{
|
|
int i, k, x, y, tmp;
|
|
|
|
for (i = 0; i < s->ndiffs; ++i) {
|
|
k = s->unsupp[i];
|
|
x = find_representative(k, s->theta);
|
|
y = find_representative(s->gamma[k], s->theta);
|
|
|
|
if (x != y) {
|
|
if (x > y) {
|
|
tmp = x;
|
|
x = y;
|
|
y = tmp;
|
|
}
|
|
s->theta[y] = x;
|
|
s->thsize[x] += s->thsize[y];
|
|
|
|
s->thnext[s->thprev[y]] = s->thnext[y];
|
|
s->thprev[s->thnext[y]] = s->thprev[y];
|
|
s->threp[s->thfront[y]] = s->thnext[y];
|
|
}
|
|
}
|
|
}
|
|
|
|
static int
|
|
theta_prune(struct saucy *s)
|
|
{
|
|
int start = s->start[s->lev];
|
|
int label, rep, irep;
|
|
|
|
irep = find_representative(s->indmin, s->theta);
|
|
while (s->kanctar) {
|
|
label = s->anctar[--s->kanctar];
|
|
rep = find_representative(label, s->theta);
|
|
if (rep == label && rep != irep) {
|
|
return s->right.unlab[label] - start;
|
|
}
|
|
}
|
|
return -1;
|
|
}
|
|
|
|
static int
|
|
orbit_prune(struct saucy *s)
|
|
{
|
|
int i, label, fixed, min = -1;
|
|
int k = s->start[s->lev];
|
|
int size = s->right.clen[k] + 1;
|
|
int *cell = s->right.lab + k;
|
|
|
|
/* The previously fixed value */
|
|
fixed = cell[size-1];
|
|
|
|
/* Look for the next minimum cell representative */
|
|
for (i = 0; i < size-1; ++i) {
|
|
label = cell[i];
|
|
|
|
/* Skip things we've already considered */
|
|
if (label <= fixed) continue;
|
|
|
|
/* Skip things that we'll consider later */
|
|
if (min != -1 && label > cell[min]) continue;
|
|
|
|
/* New candidate minimum */
|
|
min = i;
|
|
}
|
|
|
|
return min;
|
|
}
|
|
|
|
static void
|
|
note_anctar_reps(struct saucy *s)
|
|
{
|
|
int i, j, k, m, f, rep, tmp;
|
|
|
|
/*
|
|
* Undo the previous level's splits along leftmost so that we
|
|
* join the appropriate lists of theta reps.
|
|
*/
|
|
for (i = s->splitlev[s->anc+1]-1; i >= s->splitlev[s->anc]; --i) {
|
|
f = s->splitfrom[i];
|
|
j = s->threp[f];
|
|
k = s->threp[s->splitwho[i]];
|
|
|
|
s->thnext[s->thprev[j]] = k;
|
|
s->thnext[s->thprev[k]] = j;
|
|
|
|
tmp = s->thprev[j];
|
|
s->thprev[j] = s->thprev[k];
|
|
s->thprev[k] = tmp;
|
|
|
|
for (m = k; m != j; m = s->thnext[m]) {
|
|
s->thfront[m] = f;
|
|
}
|
|
}
|
|
|
|
/*
|
|
* Just copy over the target's reps and sort by cell size, in
|
|
* the hopes of trimming some otherwise redundant generators.
|
|
*/
|
|
s->kanctar = 0;
|
|
s->anctar[s->kanctar++] = rep = s->threp[s->start[s->lev]];
|
|
for (k = s->thnext[rep]; k != rep; k = s->thnext[k]) {
|
|
s->anctar[s->kanctar++] = k;
|
|
}
|
|
array_indirect_sort(s->anctar, s->thsize, s->kanctar);
|
|
}
|
|
|
|
static void
|
|
multiply_index(struct saucy *s, int k)
|
|
{
|
|
if ((s->stats->grpsize_base *= k) > 1e10) {
|
|
s->stats->grpsize_base /= 1e10;
|
|
s->stats->grpsize_exp += 10;
|
|
}
|
|
}
|
|
|
|
static int
|
|
backtrack_leftmost(struct saucy *s)
|
|
{
|
|
int rep = find_representative(s->indmin, s->theta);
|
|
int repsize = s->thsize[rep];
|
|
int min = -1;
|
|
|
|
pick_all_the_pairs(s);
|
|
clear_undiffnons(s);
|
|
s->ndiffs = s->nundiffs = s->npairs = s->ndiffnons = 0;
|
|
|
|
if (repsize != s->right.clen[s->start[s->lev]]+1) {
|
|
min = theta_prune(s);
|
|
}
|
|
|
|
if (min == -1) {
|
|
multiply_index(s, repsize);
|
|
}
|
|
|
|
return min;
|
|
}
|
|
|
|
static int
|
|
backtrack_other(struct saucy *s)
|
|
{
|
|
int cf = s->start[s->lev];
|
|
int cb = cf + s->right.clen[cf];
|
|
int spec = s->specmin[s->lev];
|
|
int min;
|
|
|
|
/* Avoid using pairs until we get back to leftmost. */
|
|
pick_all_the_pairs(s);
|
|
|
|
clear_undiffnons(s);
|
|
|
|
s->npairs = s->ndiffnons = -1;
|
|
|
|
if (s->right.lab[cb] == spec) {
|
|
min = find_min(s, cf);
|
|
if (min == cb) {
|
|
min = orbit_prune(s);
|
|
}
|
|
else {
|
|
min -= cf;
|
|
}
|
|
}
|
|
else {
|
|
min = orbit_prune(s);
|
|
if (min != -1 && s->right.lab[min + cf] == spec) {
|
|
swap_labels(&s->right, min + cf, cb);
|
|
min = orbit_prune(s);
|
|
}
|
|
}
|
|
return min;
|
|
}
|
|
|
|
static void
|
|
rewind_coloring(struct saucy *s, struct coloring *c, int lev)
|
|
{
|
|
int i, cf, ff, splits = s->splitlev[lev];
|
|
for (i = s->nsplits - 1; i >= splits; --i) {
|
|
cf = s->splitfrom[i];
|
|
ff = s->splitwho[i];
|
|
c->clen[cf] += c->clen[ff] + 1;
|
|
fix_fronts(c, cf, ff);
|
|
}
|
|
}
|
|
|
|
static void
|
|
rewind_simulation_vectors(struct saucy *s, int lev)
|
|
{
|
|
int i;
|
|
for (i = s->randomVectorSplit_sim1[lev]; i < Vec_PtrSize(s->randomVectorArray_sim1); i++)
|
|
Vec_IntFree((Vec_Int_t *)Vec_PtrEntry(s->randomVectorArray_sim1, i));
|
|
Vec_PtrShrink(s->randomVectorArray_sim1, s->randomVectorSplit_sim1[lev]);
|
|
|
|
for (i = s->randomVectorSplit_sim2[lev]; i < Vec_PtrSize(s->randomVectorArray_sim2); i++)
|
|
Vec_IntFree((Vec_Int_t *)Vec_PtrEntry(s->randomVectorArray_sim2, i));
|
|
Vec_PtrShrink(s->randomVectorArray_sim2, s->randomVectorSplit_sim2[lev]);
|
|
}
|
|
|
|
static int
|
|
do_backtrack(struct saucy *s)
|
|
{
|
|
int i, cf, cb;
|
|
|
|
/* Undo the splits up to this level */
|
|
rewind_coloring(s, &s->right, s->lev);
|
|
s->nsplits = s->splitlev[s->lev];
|
|
|
|
/* Rewind diff information */
|
|
for (i = s->ndiffs - 1; i >= s->difflev[s->lev]; --i) {
|
|
s->diffmark[s->diffs[i]] = 0;
|
|
}
|
|
s->ndiffs = s->difflev[s->lev];
|
|
s->nundiffs = s->undifflev[s->lev];
|
|
|
|
/* Point to the target cell */
|
|
cf = s->start[s->lev];
|
|
cb = cf + s->right.clen[cf];
|
|
|
|
/* Update ancestor with zeta if we've rewound more */
|
|
if (s->anc > s->lev) {
|
|
s->anc = s->lev;
|
|
s->indmin = s->left.lab[cb];
|
|
s->match = 1;
|
|
note_anctar_reps(s);
|
|
}
|
|
|
|
/* Perform backtracking appropriate to our location */
|
|
return s->lev == s->anc
|
|
? backtrack_leftmost(s)
|
|
: backtrack_other(s);
|
|
}
|
|
|
|
static int
|
|
backtrack_loop(struct saucy *s)
|
|
{
|
|
int min;
|
|
|
|
/* Backtrack as long as we're exhausting target cells */
|
|
for (--s->lev; s->lev; --s->lev) {
|
|
min = do_backtrack(s);
|
|
if (min != -1) return min + s->start[s->lev];
|
|
}
|
|
return -1;
|
|
}
|
|
|
|
static int
|
|
backtrack(struct saucy *s)
|
|
{
|
|
int min, old, tmp;
|
|
old = s->nsplits;
|
|
min = backtrack_loop(s);
|
|
tmp = s->nsplits;
|
|
s->nsplits = old;
|
|
rewind_coloring(s, &s->left, s->lev+1);
|
|
s->nsplits = tmp;
|
|
if (SELECT_DYNAMICALLY)
|
|
rewind_simulation_vectors(s, s->lev+1);
|
|
|
|
return min;
|
|
}
|
|
|
|
static int
|
|
backtrack_bad(struct saucy *s)
|
|
{
|
|
int min, old, tmp;
|
|
old = s->lev;
|
|
min = backtrack_loop(s);
|
|
if (BACKTRACK_BY_SAT) {
|
|
int oldLev = s->lev;
|
|
while (!backtrackBysatCounterExamples(s, &s->right)) {
|
|
min = backtrack_loop(s);
|
|
if (!s->lev) {
|
|
if (s->fPrintTree)
|
|
printf("Backtrack by SAT from level %d to %d\n", oldLev, 0);
|
|
return -1;
|
|
}
|
|
}
|
|
if (s->fPrintTree)
|
|
if (s->lev < oldLev)
|
|
printf("Backtrack by SAT from level %d to %d\n", oldLev, s->lev);
|
|
}
|
|
tmp = s->nsplits;
|
|
s->nsplits = s->splitlev[old];
|
|
rewind_coloring(s, &s->left, s->lev+1);
|
|
s->nsplits = tmp;
|
|
if (SELECT_DYNAMICALLY)
|
|
rewind_simulation_vectors(s, s->lev+1);
|
|
|
|
return min;
|
|
}
|
|
|
|
void
|
|
prepare_permutation_ntk(struct saucy *s)
|
|
{
|
|
int i;
|
|
Abc_Obj_t * pObj, * pObjPerm;
|
|
int numouts = Abc_NtkPoNum(s->pNtk);
|
|
|
|
Nm_ManFree( s->pNtk_permuted->pManName );
|
|
s->pNtk_permuted->pManName = Nm_ManCreate( Abc_NtkCiNum(s->pNtk) + Abc_NtkCoNum(s->pNtk) + Abc_NtkBoxNum(s->pNtk) );
|
|
|
|
for (i = 0; i < s->n; ++i) {
|
|
if (i < numouts) {
|
|
pObj = (Abc_Obj_t *)Vec_PtrEntry(s->pNtk->vPos, i);
|
|
pObjPerm = (Abc_Obj_t *)Vec_PtrEntry(s->pNtk_permuted->vPos, s->gamma[i]);
|
|
}
|
|
else {
|
|
pObj = (Abc_Obj_t *)Vec_PtrEntry(s->pNtk->vPis, i - numouts);
|
|
pObjPerm = (Abc_Obj_t *)Vec_PtrEntry(s->pNtk_permuted->vPis, s->gamma[i] - numouts);
|
|
|
|
}
|
|
Abc_ObjAssignName( pObjPerm, Abc_ObjName(pObj), NULL );
|
|
}
|
|
|
|
Abc_NtkOrderObjsByName( s->pNtk_permuted, 1 );
|
|
|
|
/* print the permutation */
|
|
/*for (i = 0; i < s->ndiffs; ++i)
|
|
printf(" %d->%d", s->unsupp[i], s->diffs[i]);
|
|
printf("\n");
|
|
Abc_NtkForEachCo( s->pNtk, pObj, i )
|
|
printf (" %d", Abc_ObjId(pObj)-1-Abc_NtkPiNum(s->pNtk));
|
|
Abc_NtkForEachCi( s->pNtk, pObj, i )
|
|
printf (" %d", Abc_ObjId(pObj)-1+Abc_NtkPoNum(s->pNtk));
|
|
printf("\n");
|
|
Abc_NtkForEachCo( s->pNtk_permuted, pObj, i )
|
|
printf (" %d", Abc_ObjId(pObj)-1-Abc_NtkPiNum(s->pNtk_permuted));
|
|
Abc_NtkForEachCi( s->pNtk_permuted, pObj, i )
|
|
printf (" %d", Abc_ObjId(pObj)-1+Abc_NtkPoNum(s->pNtk_permuted));
|
|
printf("\n");*/
|
|
}
|
|
|
|
|
|
static void
|
|
prepare_permutation(struct saucy *s)
|
|
{
|
|
int i, k;
|
|
for (i = 0; i < s->ndiffs; ++i) {
|
|
k = s->right.unlab[s->diffs[i]];
|
|
s->unsupp[i] = s->left.lab[k];
|
|
s->gamma[s->left.lab[k]] = s->right.lab[k];
|
|
}
|
|
prepare_permutation_ntk(s);
|
|
}
|
|
|
|
void
|
|
unprepare_permutation_ntk(struct saucy *s)
|
|
{
|
|
int i;
|
|
Abc_Obj_t * pObj, * pObjPerm;
|
|
int numouts = Abc_NtkPoNum(s->pNtk);
|
|
|
|
Nm_ManFree( s->pNtk_permuted->pManName );
|
|
s->pNtk_permuted->pManName = Nm_ManCreate( Abc_NtkCiNum(s->pNtk) + Abc_NtkCoNum(s->pNtk) + Abc_NtkBoxNum(s->pNtk) );
|
|
|
|
for (i = 0; i < s->n; ++i) {
|
|
if (i < numouts) {
|
|
pObj = (Abc_Obj_t *)Vec_PtrEntry(s->pNtk->vPos, s->gamma[i]);
|
|
pObjPerm = (Abc_Obj_t *)Vec_PtrEntry(s->pNtk_permuted->vPos, i);
|
|
}
|
|
else {
|
|
pObj = (Abc_Obj_t *)Vec_PtrEntry(s->pNtk->vPis, s->gamma[i] - numouts);
|
|
pObjPerm = (Abc_Obj_t *)Vec_PtrEntry(s->pNtk_permuted->vPis, i - numouts);
|
|
|
|
}
|
|
Abc_ObjAssignName( pObjPerm, Abc_ObjName(pObj), NULL );
|
|
}
|
|
|
|
Abc_NtkOrderObjsByName( s->pNtk_permuted, 1 );
|
|
}
|
|
|
|
|
|
static void
|
|
unprepare_permutation(struct saucy *s)
|
|
{
|
|
int i;
|
|
unprepare_permutation_ntk(s);
|
|
for (i = 0; i < s->ndiffs; ++i) {
|
|
s->gamma[s->unsupp[i]] = s->unsupp[i];
|
|
}
|
|
}
|
|
|
|
static int
|
|
do_search(struct saucy *s)
|
|
{
|
|
int min;
|
|
|
|
unprepare_permutation(s);
|
|
|
|
/* Backtrack to the ancestor with zeta */
|
|
if (s->lev > s->anc) s->lev = s->anc + 1;
|
|
|
|
/* Perform additional backtracking */
|
|
min = backtrack(s);
|
|
|
|
if (s->fBooleanMatching && (s->stats->grpsize_base > 1 || s->stats->grpsize_exp > 0))
|
|
return 0;
|
|
|
|
if (s->fPrintTree && s->lev > 0) {
|
|
//printf("in level %d: %d->%d\n", s->lev, s->left.lab[s->splitwho[s->nsplits]], s->right.lab[min]);
|
|
printf("in level %d: %s->%s\n", s->lev, getVertexName(s->pNtk, s->left.lab[s->splitwho[s->nsplits]]), getVertexName(s->pNtk, s->right.lab[min]));
|
|
}
|
|
|
|
/* Keep going while there are tree nodes to expand */
|
|
while (s->lev) {
|
|
|
|
/* Descend to a new leaf node */
|
|
if (descend(s, &s->right, s->start[s->lev], min)
|
|
&& descend_left(s)) {
|
|
|
|
/* Prepare permutation */
|
|
prepare_permutation(s);
|
|
|
|
/* If we found an automorphism, return it */
|
|
if (s->is_automorphism(s)) {
|
|
++s->stats->gens;
|
|
s->stats->support += s->ndiffs;
|
|
update_theta(s);
|
|
s->print_automorphism(s->gFile, s->n, s->gamma, s->ndiffs, s->unsupp, s->marks, s->pNtk);
|
|
unprepare_permutation(s);
|
|
return 1;
|
|
}
|
|
else {
|
|
unprepare_permutation(s);
|
|
}
|
|
}
|
|
|
|
/* If we get here, something went wrong; backtrack */
|
|
++s->stats->bads;
|
|
min = backtrack_bad(s);
|
|
if (s->fPrintTree) {
|
|
printf("BAD NODE\n");
|
|
if (s->lev > 0) {
|
|
//printf("in level %d: %d->%d\n", s->lev, s->left.lab[s->splitwho[s->nsplits]], s->right.lab[min]);
|
|
printf("in level %d: %s->%s\n", s->lev, getVertexName(s->pNtk, s->left.lab[s->splitwho[s->nsplits]]), getVertexName(s->pNtk, s->right.lab[min]));
|
|
}
|
|
}
|
|
}
|
|
|
|
/* Normalize group size */
|
|
while (s->stats->grpsize_base >= 10.0) {
|
|
s->stats->grpsize_base /= 10;
|
|
++s->stats->grpsize_exp;
|
|
}
|
|
return 0;
|
|
}
|
|
|
|
void
|
|
saucy_search(
|
|
Abc_Ntk_t * pNtk,
|
|
struct saucy *s,
|
|
int directed,
|
|
const int *colors,
|
|
struct saucy_stats *stats)
|
|
{
|
|
int i, j, max = 0;
|
|
struct saucy_graph *g;
|
|
|
|
extern Abc_Ntk_t * Abc_NtkDup( Abc_Ntk_t * pNtk );
|
|
|
|
/* Save network information */
|
|
s->pNtk = pNtk;
|
|
s->pNtk_permuted = Abc_NtkDup( pNtk );
|
|
|
|
/* Builde dependency graph */
|
|
g = buildDepGraph(pNtk, s->iDep, s->oDep);
|
|
|
|
/* Save graph information */
|
|
s->n = g->n;
|
|
s->depAdj = g->adj;
|
|
s->depEdg = g->edg;
|
|
/*s->dadj = g->adj + g->n + 1;
|
|
s->dedg = g->edg + g->e;*/
|
|
|
|
/* Save client information */
|
|
s->stats = stats;
|
|
|
|
/* Polymorphism */
|
|
if (directed) {
|
|
s->is_automorphism = is_directed_automorphism;
|
|
s->ref_singleton = ref_singleton_directed;
|
|
s->ref_nonsingle = ref_nonsingle_directed;
|
|
}
|
|
else {
|
|
s->is_automorphism = is_undirected_automorphism;
|
|
s->ref_singleton = ref_singleton_undirected;
|
|
s->ref_nonsingle = ref_nonsingle_undirected;
|
|
}
|
|
|
|
/* Initialize scalars */
|
|
s->indmin = 0;
|
|
s->lev = s->anc = 1;
|
|
s->ndiffs = s->nundiffs = s->ndiffnons = 0;
|
|
s->activityInc = 1;
|
|
|
|
/* The initial orbit partition is discrete */
|
|
for (i = 0; i < s->n; ++i) {
|
|
s->theta[i] = i;
|
|
}
|
|
|
|
/* The initial permutation is the identity */
|
|
for (i = 0; i < s->n; ++i) {
|
|
s->gamma[i] = i;
|
|
}
|
|
|
|
/* Initially every cell of theta has one element */
|
|
for (i = 0; i < s->n; ++i) {
|
|
s->thsize[i] = 1;
|
|
}
|
|
|
|
/* Every theta rep list is singleton */
|
|
for (i = 0; i < s->n; ++i) {
|
|
s->thprev[i] = s->thnext[i] = i;
|
|
}
|
|
|
|
/* We have no pairs yet */
|
|
s->npairs = 0;
|
|
for (i = 0; i < s->n; ++i) {
|
|
s->unpairs[i] = -1;
|
|
}
|
|
|
|
/* Ensure no stray pointers in undiffnons, which is checked by removed_diffnon() */
|
|
for (i = 0; i < s->n; ++i) {
|
|
s->undiffnons[i] = -1;
|
|
}
|
|
|
|
/* Initialize stats */
|
|
s->stats->grpsize_base = 1.0;
|
|
s->stats->grpsize_exp = 0;
|
|
s->stats->nodes = 1;
|
|
s->stats->bads = s->stats->gens = s->stats->support = 0;
|
|
|
|
/* Prepare for refinement */
|
|
s->nninduce = s->nsinduce = 0;
|
|
s->csize = 0;
|
|
|
|
/* Count cell sizes */
|
|
for (i = 0; i < s->n; ++i) {
|
|
s->ccount[colors[i]]++;
|
|
if (max < colors[i]) max = colors[i];
|
|
}
|
|
s->nsplits = max + 1;
|
|
|
|
/* Build cell lengths */
|
|
s->left.clen[0] = s->ccount[0] - 1;
|
|
for (i = 0; i < max; ++i) {
|
|
s->left.clen[s->ccount[i]] = s->ccount[i+1] - 1;
|
|
s->ccount[i+1] += s->ccount[i];
|
|
}
|
|
|
|
/* Build the label array */
|
|
for (i = 0; i < s->n; ++i) {
|
|
set_label(&s->left, --s->ccount[colors[i]], i);
|
|
}
|
|
|
|
/* Clear out ccount */
|
|
for (i = 0; i <= max; ++i) {
|
|
s->ccount[i] = 0;
|
|
}
|
|
|
|
/* Update refinement stuff based on initial partition */
|
|
for (i = 0; i < s->n; i += s->left.clen[i]+1) {
|
|
add_induce(s, &s->left, i);
|
|
fix_fronts(&s->left, i, i);
|
|
}
|
|
|
|
/* Prepare lists based on cell lengths */
|
|
for (i = 0, j = -1; i < s->n; i += s->left.clen[i] + 1) {
|
|
if (!s->left.clen[i]) continue;
|
|
s->prevnon[i] = j;
|
|
s->nextnon[j] = i;
|
|
j = i;
|
|
}
|
|
|
|
/* Fix the end */
|
|
s->prevnon[s->n] = j;
|
|
s->nextnon[j] = s->n;
|
|
|
|
/* Preprocessing after initial coloring */
|
|
s->split = split_init;
|
|
s->refineBySim1 = refineBySim1_init;
|
|
s->refineBySim2 = refineBySim2_init;
|
|
|
|
//print_partition(&s->left, NULL, s->n, s->pNtk, 1);
|
|
printf("Initial Refine by Dependency graph ... ");
|
|
refineByDepGraph(s, &s->left);
|
|
//print_partition(&s->left, NULL, s->n, s->pNtk, 1);
|
|
printf("done!\n");
|
|
|
|
printf("Initial Refine by Simulation ... ");
|
|
if (REFINE_BY_SIM_1) s->refineBySim1(s, &s->left);
|
|
//print_partition(&s->left, NULL, s->n, s->pNtk, 1);
|
|
if (REFINE_BY_SIM_2) s->refineBySim2(s, &s->left);
|
|
//print_partition(&s->left, NULL, s->n, s->pNtk, 1);
|
|
printf("done!\n\t--------------------\n");
|
|
|
|
/* Descend along the leftmost branch and compute zeta */
|
|
s->refineBySim1 = refineBySim1_left;
|
|
s->refineBySim2 = refineBySim2_left;
|
|
descend_leftmost(s);
|
|
s->split = split_other;
|
|
s->refineBySim1 = refineBySim1_other;
|
|
s->refineBySim2 = refineBySim2_other;
|
|
|
|
/* Our common ancestor with zeta is the current level */
|
|
s->stats->levels = s->anc = s->lev;
|
|
|
|
/* Copy over this data to our non-leftmost coloring */
|
|
memcpy(s->right.lab, s->left.lab, s->n * sizeof(int));
|
|
memcpy(s->right.unlab, s->left.unlab, s->n * sizeof(int));
|
|
memcpy(s->right.clen, s->left.clen, s->n * sizeof(int));
|
|
memcpy(s->right.cfront, s->left.cfront, s->n * sizeof(int));
|
|
|
|
/* The reps are just the labels at this point */
|
|
memcpy(s->threp, s->left.lab, s->n * sizeof(int));
|
|
memcpy(s->thfront, s->left.unlab, s->n * sizeof(int));
|
|
|
|
/* choose cell selection method */
|
|
if (SELECT_DYNAMICALLY) s->select_decomposition = select_dynamically;
|
|
else s->select_decomposition = select_statically;
|
|
|
|
/* Keep running till we're out of automorphisms */
|
|
while (do_search(s));
|
|
}
|
|
|
|
void
|
|
saucy_free(struct saucy *s)
|
|
{
|
|
int i;
|
|
|
|
ABC_FREE(s->undiffnons);
|
|
ABC_FREE(s->diffnons);
|
|
ABC_FREE(s->unpairs);
|
|
ABC_FREE(s->pairs);
|
|
ABC_FREE(s->thfront);
|
|
ABC_FREE(s->threp);
|
|
ABC_FREE(s->thnext);
|
|
ABC_FREE(s->thprev);
|
|
ABC_FREE(s->specmin);
|
|
ABC_FREE(s->anctar);
|
|
ABC_FREE(s->thsize);
|
|
ABC_FREE(s->undifflev);
|
|
ABC_FREE(s->difflev);
|
|
ABC_FREE(s->diffs);
|
|
ABC_FREE(s->diffmark);
|
|
ABC_FREE(s->conncnts);
|
|
ABC_FREE(s->unsupp);
|
|
ABC_FREE(s->splitlev);
|
|
ABC_FREE(s->splitfrom);
|
|
ABC_FREE(s->splitwho);
|
|
ABC_FREE(s->splitvar);
|
|
ABC_FREE(s->right.unlab);
|
|
ABC_FREE(s->right.lab);
|
|
ABC_FREE(s->left.unlab);
|
|
ABC_FREE(s->left.lab);
|
|
ABC_FREE(s->theta);
|
|
ABC_FREE(s->junk);
|
|
ABC_FREE(s->gamma);
|
|
ABC_FREE(s->start);
|
|
ABC_FREE(s->prevnon);
|
|
free(s->nextnon-1);
|
|
ABC_FREE(s->clist);
|
|
ABC_FREE(s->ccount);
|
|
ABC_FREE(s->count);
|
|
ABC_FREE(s->bucket);
|
|
ABC_FREE(s->stuff);
|
|
ABC_FREE(s->right.clen);
|
|
ABC_FREE(s->right.cfront);
|
|
ABC_FREE(s->left.clen);
|
|
ABC_FREE(s->left.cfront);
|
|
ABC_FREE(s->indmark);
|
|
ABC_FREE(s->sinduce);
|
|
ABC_FREE(s->ninduce);
|
|
ABC_FREE(s->depAdj);
|
|
ABC_FREE(s->depEdg);
|
|
ABC_FREE(s->marks);
|
|
for (i = 0; i < Abc_NtkPiNum(s->pNtk); i++) {
|
|
Vec_IntFree( s->iDep[i] );
|
|
Vec_IntFree( s->obs[i] );
|
|
Vec_PtrFree( s->topOrder[i] );
|
|
}
|
|
for (i = 0; i < Abc_NtkPoNum(s->pNtk); i++) {
|
|
Vec_IntFree( s->oDep[i] );
|
|
Vec_IntFree( s->ctrl[i] );
|
|
}
|
|
for (i = 0; i < Vec_PtrSize(s->randomVectorArray_sim1); i++)
|
|
Vec_IntFree((Vec_Int_t *)Vec_PtrEntry(s->randomVectorArray_sim1, i));
|
|
for (i = 0; i < Vec_PtrSize(s->randomVectorArray_sim2); i++)
|
|
Vec_IntFree((Vec_Int_t *)Vec_PtrEntry(s->randomVectorArray_sim2, i));
|
|
Vec_PtrFree( s->randomVectorArray_sim1 );
|
|
Vec_PtrFree( s->randomVectorArray_sim2 );
|
|
ABC_FREE(s->randomVectorSplit_sim1);
|
|
ABC_FREE(s->randomVectorSplit_sim2);
|
|
Abc_NtkDelete( s->pNtk_permuted );
|
|
for (i = 0; i < Vec_PtrSize(s->satCounterExamples); i++) {
|
|
struct sim_result * cex = (struct sim_result *)Vec_PtrEntry(s->satCounterExamples, i);
|
|
ABC_FREE( cex->inVec );
|
|
ABC_FREE( cex->outVec );
|
|
ABC_FREE( cex );
|
|
}
|
|
Vec_PtrFree(s->satCounterExamples);
|
|
ABC_FREE( s->pModel );
|
|
ABC_FREE( s->iDep );
|
|
ABC_FREE( s->oDep );
|
|
ABC_FREE( s->obs );
|
|
ABC_FREE( s->ctrl );
|
|
ABC_FREE( s->topOrder );
|
|
ABC_FREE(s);
|
|
}
|
|
|
|
struct saucy *
|
|
saucy_alloc(Abc_Ntk_t * pNtk)
|
|
{
|
|
int i;
|
|
int numouts = Abc_NtkPoNum(pNtk);
|
|
int numins = Abc_NtkPiNum(pNtk);
|
|
int n = numins + numouts;
|
|
struct saucy *s = ABC_ALLOC(struct saucy, 1);
|
|
if (s == NULL) return NULL;
|
|
|
|
s->ninduce = ints(n);
|
|
s->sinduce = ints(n);
|
|
s->indmark = bits(n);
|
|
s->left.cfront = zeros(n);
|
|
s->left.clen = ints(n);
|
|
s->right.cfront = zeros(n);
|
|
s->right.clen = ints(n);
|
|
s->stuff = bits(n+1);
|
|
s->bucket = ints(n+2);
|
|
s->count = ints(n+1);
|
|
s->ccount = zeros(n);
|
|
s->clist = ints(n);
|
|
s->nextnon = ints(n+1) + 1;
|
|
s->prevnon = ints(n+1);
|
|
s->anctar = ints(n);
|
|
s->start = ints(n);
|
|
s->gamma = ints(n);
|
|
s->junk = ints(n);
|
|
s->theta = ints(n);
|
|
s->thsize = ints(n);
|
|
s->left.lab = ints(n);
|
|
s->left.unlab = ints(n);
|
|
s->right.lab = ints(n);
|
|
s->right.unlab = ints(n);
|
|
s->splitvar = ints(n);
|
|
s->splitwho = ints(n);
|
|
s->splitfrom = ints(n);
|
|
s->splitlev = ints(n+1);
|
|
s->unsupp = ints(n);
|
|
s->conncnts = zeros(n);
|
|
s->diffmark = bits(n);
|
|
s->diffs = ints(n);
|
|
s->difflev = ints(n);
|
|
s->undifflev = ints(n);
|
|
s->specmin = ints(n);
|
|
s->thnext = ints(n);
|
|
s->thprev = ints(n);
|
|
s->threp = ints(n);
|
|
s->thfront = ints(n);
|
|
s->pairs = ints(n);
|
|
s->unpairs = ints(n);
|
|
s->diffnons = ints(n);
|
|
s->undiffnons = ints(n);
|
|
s->marks = bits(n);
|
|
|
|
s->iDep = ABC_ALLOC( Vec_Int_t*, numins );
|
|
s->oDep = ABC_ALLOC( Vec_Int_t*, numouts );
|
|
s->obs = ABC_ALLOC( Vec_Int_t*, numins );
|
|
s->ctrl = ABC_ALLOC( Vec_Int_t*, numouts );
|
|
|
|
for(i = 0; i < numins; i++) {
|
|
s->iDep[i] = Vec_IntAlloc( 1 );
|
|
s->obs[i] = Vec_IntAlloc( 1 );
|
|
}
|
|
for(i = 0; i < numouts; i++) {
|
|
s->oDep[i] = Vec_IntAlloc( 1 );
|
|
s->ctrl[i] = Vec_IntAlloc( 1 );
|
|
}
|
|
|
|
s->randomVectorArray_sim1 = Vec_PtrAlloc( n );
|
|
s->randomVectorSplit_sim1 = zeros( n );
|
|
s->randomVectorArray_sim2 = Vec_PtrAlloc( n );
|
|
s->randomVectorSplit_sim2= zeros( n );
|
|
|
|
s->satCounterExamples = Vec_PtrAlloc( 1 );
|
|
s->pModel = ints( numins );
|
|
|
|
if (s->ninduce && s->sinduce && s->left.cfront && s->left.clen
|
|
&& s->right.cfront && s->right.clen
|
|
&& s->stuff && s->bucket && s->count && s->ccount
|
|
&& s->clist && s->nextnon-1 && s->prevnon
|
|
&& s->start && s->gamma && s->theta && s->left.unlab
|
|
&& s->right.lab && s->right.unlab
|
|
&& s->left.lab && s->splitvar && s->splitwho && s->junk
|
|
&& s->splitfrom && s->splitlev && s->thsize
|
|
&& s->unsupp && s->conncnts && s->anctar
|
|
&& s->diffmark && s->diffs && s->indmark
|
|
&& s->thnext && s->thprev && s->threp && s->thfront
|
|
&& s->pairs && s->unpairs && s->diffnons && s->undiffnons
|
|
&& s->difflev && s->undifflev && s->specmin)
|
|
{
|
|
return s;
|
|
}
|
|
else {
|
|
saucy_free(s);
|
|
return NULL;
|
|
}
|
|
}
|
|
|
|
static void
|
|
print_stats(FILE *f, struct saucy_stats stats )
|
|
{
|
|
fprintf(f, "group size = %fe%d\n",
|
|
stats.grpsize_base, stats.grpsize_exp);
|
|
fprintf(f, "levels = %d\n", stats.levels);
|
|
fprintf(f, "nodes = %d\n", stats.nodes);
|
|
fprintf(f, "generators = %d\n", stats.gens);
|
|
fprintf(f, "total support = %d\n", stats.support);
|
|
fprintf(f, "average support = %.2f\n",(double)(stats.support)/(double)(stats.gens));
|
|
fprintf(f, "nodes per generator = %.2f\n",(double)(stats.nodes)/(double)(stats.gens));
|
|
fprintf(f, "bad nodes = %d\n", stats.bads);
|
|
}
|
|
|
|
|
|
/* From this point up are SAUCY functions*/
|
|
/////////////////////////////////////////////////////////////////////////////////////////////////////////
|
|
/* From this point down are new functions */
|
|
|
|
static char *
|
|
getVertexName(Abc_Ntk_t *pNtk, int v)
|
|
{
|
|
Abc_Obj_t * pObj;
|
|
int numouts = Abc_NtkPoNum(pNtk);
|
|
|
|
if (v < numouts)
|
|
pObj = (Abc_Obj_t *)Vec_PtrEntry(pNtk->vPos, v);
|
|
else
|
|
pObj = (Abc_Obj_t *)Vec_PtrEntry(pNtk->vPis, v - numouts);
|
|
|
|
return Abc_ObjName(pObj);
|
|
}
|
|
|
|
static Vec_Ptr_t **
|
|
findTopologicalOrder( Abc_Ntk_t * pNtk )
|
|
{
|
|
Vec_Ptr_t ** vNodes;
|
|
Abc_Obj_t * pObj, * pFanout;
|
|
int i, k;
|
|
|
|
extern void Abc_NtkDfsReverse_rec( Abc_Obj_t * pNode, Vec_Ptr_t * vNodes );
|
|
|
|
/* start the array of nodes */
|
|
vNodes = ABC_ALLOC(Vec_Ptr_t *, Abc_NtkPiNum(pNtk));
|
|
for(i = 0; i < Abc_NtkPiNum(pNtk); i++)
|
|
vNodes[i] = Vec_PtrAlloc(50);
|
|
|
|
Abc_NtkForEachCi( pNtk, pObj, i )
|
|
{
|
|
/* set the traversal ID */
|
|
Abc_NtkIncrementTravId( pNtk );
|
|
Abc_NodeSetTravIdCurrent( pObj );
|
|
pObj = Abc_ObjFanout0Ntk(pObj);
|
|
Abc_ObjForEachFanout( pObj, pFanout, k )
|
|
Abc_NtkDfsReverse_rec( pFanout, vNodes[i] );
|
|
}
|
|
|
|
return vNodes;
|
|
}
|
|
|
|
static void
|
|
getDependencies(Abc_Ntk_t *pNtk, Vec_Int_t** iDep, Vec_Int_t** oDep)
|
|
{
|
|
Vec_Ptr_t * vSuppFun;
|
|
int i, j;
|
|
|
|
vSuppFun = Sim_ComputeFunSupp(pNtk, 0);
|
|
for(i = 0; i < Abc_NtkPoNum(pNtk); i++) {
|
|
char * seg = (char *)vSuppFun->pArray[i];
|
|
|
|
for(j = 0; j < Abc_NtkPiNum(pNtk); j+=8) {
|
|
if(((*seg) & 0x01) == 0x01)
|
|
Vec_IntPushOrder(oDep[i], j);
|
|
if(((*seg) & 0x02) == 0x02)
|
|
Vec_IntPushOrder(oDep[i], j+1);
|
|
if(((*seg) & 0x04) == 0x04)
|
|
Vec_IntPushOrder(oDep[i], j+2);
|
|
if(((*seg) & 0x08) == 0x08)
|
|
Vec_IntPushOrder(oDep[i], j+3);
|
|
if(((*seg) & 0x10) == 0x10)
|
|
Vec_IntPushOrder(oDep[i], j+4);
|
|
if(((*seg) & 0x20) == 0x20)
|
|
Vec_IntPushOrder(oDep[i], j+5);
|
|
if(((*seg) & 0x40) == 0x40)
|
|
Vec_IntPushOrder(oDep[i], j+6);
|
|
if(((*seg) & 0x80) == 0x80)
|
|
Vec_IntPushOrder(oDep[i], j+7);
|
|
|
|
seg++;
|
|
}
|
|
}
|
|
|
|
for(i = 0; i < Abc_NtkPoNum(pNtk); i++)
|
|
for(j = 0; j < Vec_IntSize(oDep[i]); j++)
|
|
Vec_IntPush(iDep[Vec_IntEntry(oDep[i], j)], i);
|
|
|
|
|
|
/*for(i = 0; i < Abc_NtkPoNum(pNtk); i++)
|
|
{
|
|
printf("Output %d: ", i);
|
|
for(j = 0; j < Vec_IntSize(oDep[i]); j++)
|
|
printf("%d ", Vec_IntEntry(oDep[i], j));
|
|
printf("\n");
|
|
}
|
|
|
|
printf("\n");
|
|
|
|
for(i = 0; i < Abc_NtkPiNum(pNtk); i++)
|
|
{
|
|
printf("Input %d: ", i);
|
|
for(j = 0; j < Vec_IntSize(iDep[i]); j++)
|
|
printf("%d ", Vec_IntEntry(iDep[i], j));
|
|
printf("\n");
|
|
}
|
|
|
|
printf("\n"); */
|
|
}
|
|
|
|
static void
|
|
getDependenciesDummy(Abc_Ntk_t *pNtk, Vec_Int_t** iDep, Vec_Int_t** oDep)
|
|
{
|
|
int i, j;
|
|
|
|
/* let's assume that every output is dependent on every input */
|
|
for(i = 0; i < Abc_NtkPoNum(pNtk); i++)
|
|
for(j = 0; j < Abc_NtkPiNum(pNtk); j++)
|
|
Vec_IntPush(oDep[i], j);
|
|
|
|
for(i = 0; i < Abc_NtkPiNum(pNtk); i++)
|
|
for(j = 0; j < Abc_NtkPoNum(pNtk); j++)
|
|
Vec_IntPush(iDep[i], j);
|
|
}
|
|
|
|
static struct saucy_graph *
|
|
buildDepGraph(Abc_Ntk_t *pNtk, Vec_Int_t ** iDep, Vec_Int_t ** oDep)
|
|
{
|
|
int i, j, k;
|
|
struct saucy_graph *g = NULL;
|
|
int n, e, *adj, *edg;
|
|
|
|
n = Abc_NtkPoNum(pNtk) + Abc_NtkPiNum(pNtk);
|
|
for (e = 0, i = 0; i < Abc_NtkPoNum(pNtk); i++)
|
|
e += Vec_IntSize(oDep[i]);
|
|
|
|
g = ABC_ALLOC(struct saucy_graph, 1);
|
|
adj = zeros(n+1);
|
|
edg = ints(2*e);
|
|
|
|
g->n = n;
|
|
g->e = e;
|
|
g->adj = adj;
|
|
g->edg = edg;
|
|
|
|
adj[0] = 0;
|
|
for (i = 0; i < n; i++) {
|
|
/* first add outputs and then inputs */
|
|
if ( i < Abc_NtkPoNum(pNtk)) {
|
|
adj[i+1] = adj[i] + Vec_IntSize(oDep[i]);
|
|
for (k = 0, j = adj[i]; j < adj[i+1]; j++, k++)
|
|
edg[j] = Vec_IntEntry(oDep[i], k) + Abc_NtkPoNum(pNtk);
|
|
}
|
|
else {
|
|
adj[i+1] = adj[i] + Vec_IntSize(iDep[i-Abc_NtkPoNum(pNtk)]);
|
|
for (k = 0, j = adj[i]; j < adj[i+1]; j++, k++)
|
|
edg[j] = Vec_IntEntry(iDep[i-Abc_NtkPoNum(pNtk)], k);
|
|
}
|
|
}
|
|
|
|
/* print graph for testing */
|
|
/*for (i = 0; i < n; i++) {
|
|
printf("%d: ", i);
|
|
for (j = adj[i]; j < adj[i+1]; j++)
|
|
printf("%d ", edg[j]);
|
|
printf("\n");
|
|
}*/
|
|
|
|
return g;
|
|
}
|
|
|
|
static Vec_Int_t *
|
|
assignRandomBitsToCells(Abc_Ntk_t * pNtk, struct coloring *c)
|
|
{
|
|
Vec_Int_t * randVec = Vec_IntAlloc( 1 );
|
|
int i, bit;
|
|
|
|
for (i = 0; i < Abc_NtkPiNum(pNtk); i += (c->clen[i+Abc_NtkPoNum(pNtk)]+1)) {
|
|
bit = (int)(SIM_RANDOM_UNSIGNED % 2);
|
|
Vec_IntPush(randVec, bit);
|
|
}
|
|
|
|
return randVec;
|
|
}
|
|
|
|
static int *
|
|
generateProperInputVector( Abc_Ntk_t * pNtk, struct coloring *c, Vec_Int_t * randomVector )
|
|
{
|
|
int * vPiValues;
|
|
int i, j, k, bit, input;
|
|
int numouts = Abc_NtkPoNum(pNtk);
|
|
int numins = Abc_NtkPiNum(pNtk);
|
|
int n = numouts + numins;
|
|
|
|
vPiValues = ABC_ALLOC( int, numins);
|
|
|
|
for (i = numouts, k = 0; i < n; i += (c->clen[i]+1), k++) {
|
|
if (k == Vec_IntSize(randomVector)) break;
|
|
|
|
bit = Vec_IntEntry(randomVector, k);
|
|
for (j = i; j <= (i + c->clen[i]); j++) {
|
|
input = c->lab[j] - numouts;
|
|
vPiValues[input] = bit;
|
|
}
|
|
}
|
|
|
|
//if (k != Vec_IntSize(randomVector)) {
|
|
if (i < n) {
|
|
ABC_FREE( vPiValues );
|
|
return NULL;
|
|
}
|
|
|
|
return vPiValues;
|
|
}
|
|
|
|
static int
|
|
ifInputVectorsAreConsistent( struct saucy * s, int * leftVec, int * rightVec )
|
|
{
|
|
/* This function assumes that left and right partitions are isomorphic */
|
|
int i, j;
|
|
int lab;
|
|
int left_bit, right_bit;
|
|
int numouts = Abc_NtkPoNum(s->pNtk);
|
|
int n = numouts + Abc_NtkPiNum(s->pNtk);
|
|
|
|
for (i = numouts; i < n; i += (s->right.clen[i]+1)) {
|
|
lab = s->left.lab[i] - numouts;
|
|
left_bit = leftVec[lab];
|
|
for (j = i+1; j <= (i + s->right.clen[i]); j++) {
|
|
lab = s->left.lab[j] - numouts;
|
|
if (left_bit != leftVec[lab]) return -1;
|
|
}
|
|
|
|
lab = s->right.lab[i] - numouts;
|
|
right_bit = rightVec[lab];
|
|
for (j = i+1; j <= (i + s->right.clen[i]); j++) {
|
|
lab = s->right.lab[j] - numouts;
|
|
if (right_bit != rightVec[lab]) return 0;
|
|
}
|
|
|
|
if (left_bit != right_bit)
|
|
return 0;
|
|
}
|
|
|
|
return 1;
|
|
}
|
|
|
|
static int
|
|
ifOutputVectorsAreConsistent( struct saucy * s, int * leftVec, int * rightVec )
|
|
{
|
|
/* This function assumes that left and right partitions are isomorphic */
|
|
int i, j;
|
|
int count1, count2;
|
|
|
|
for (i = 0; i < Abc_NtkPoNum(s->pNtk); i += (s->right.clen[i]+1)) {
|
|
count1 = count2 = 0;
|
|
for (j = i; j <= (i + s->right.clen[i]); j++) {
|
|
if (leftVec[s->left.lab[j]]) count1++;
|
|
if (rightVec[s->right.lab[j]]) count2++;
|
|
}
|
|
|
|
if (count1 != count2) return 0;
|
|
}
|
|
|
|
return 1;
|
|
}
|
|
|
|
static struct saucy_graph *
|
|
buildSim1Graph( Abc_Ntk_t * pNtk, struct coloring *c, Vec_Int_t * randVec, Vec_Int_t ** iDep, Vec_Int_t ** oDep )
|
|
{
|
|
int i, j, k;
|
|
struct saucy_graph *g;
|
|
int n, e, *adj, *edg;
|
|
int * vPiValues, * output;
|
|
int numOneOutputs = 0;
|
|
int numouts = Abc_NtkPoNum(pNtk);
|
|
int numins = Abc_NtkPiNum(pNtk);
|
|
|
|
vPiValues = generateProperInputVector(pNtk, c, randVec);
|
|
if (vPiValues == NULL)
|
|
return NULL;
|
|
|
|
output = Abc_NtkVerifySimulatePattern(pNtk, vPiValues);
|
|
|
|
for (i = 0; i < numouts; i++) {
|
|
if (output[i])
|
|
numOneOutputs++;
|
|
}
|
|
|
|
g = ABC_ALLOC(struct saucy_graph, 1);
|
|
n = numouts + numins;
|
|
e = numins * numOneOutputs;
|
|
adj = ints(n+1);
|
|
edg = ints(2*e);
|
|
g->n = n;
|
|
g->e = e;
|
|
g->adj = adj;
|
|
g->edg = edg;
|
|
|
|
adj[0] = 0;
|
|
for (i = 0; i < numouts; i++) {
|
|
if (output[i]) {
|
|
adj[i+1] = adj[i] + Vec_IntSize(oDep[i]);
|
|
for (j = adj[i], k = 0; j < adj[i+1]; j++, k++)
|
|
edg[j] = Vec_IntEntry(oDep[i], k) + numouts;
|
|
} else {
|
|
adj[i+1] = adj[i];
|
|
}
|
|
}
|
|
|
|
for (i = 0; i < numins; i++) {
|
|
adj[i+numouts+1] = adj[i+numouts];
|
|
for (k = 0, j = adj[i+numouts]; k < Vec_IntSize(iDep[i]); k++) {
|
|
if (output[Vec_IntEntry(iDep[i], k)]) {
|
|
edg[j++] = Vec_IntEntry(iDep[i], k);
|
|
adj[i+numouts+1]++;
|
|
}
|
|
}
|
|
}
|
|
|
|
/* print graph */
|
|
/*for (i = 0; i < n; i++) {
|
|
printf("%d: ", i);
|
|
for (j = adj[i]; j < adj[i+1]; j++)
|
|
printf("%d ", edg[j]);
|
|
printf("\n");
|
|
}*/
|
|
|
|
ABC_FREE( vPiValues );
|
|
ABC_FREE( output );
|
|
|
|
return g;
|
|
}
|
|
|
|
static struct saucy_graph *
|
|
buildSim2Graph( Abc_Ntk_t * pNtk, struct coloring *c, Vec_Int_t * randVec, Vec_Int_t ** iDep, Vec_Int_t ** oDep, Vec_Ptr_t ** topOrder, Vec_Int_t ** obs, Vec_Int_t ** ctrl )
|
|
{
|
|
int i, j, k;
|
|
struct saucy_graph *g = NULL;
|
|
int n, e = 0, *adj, *edg;
|
|
int * vPiValues;
|
|
int * output, * output2;
|
|
int numouts = Abc_NtkPoNum(pNtk);
|
|
int numins = Abc_NtkPiNum(pNtk);
|
|
|
|
extern int * Abc_NtkSimulateOneNode( Abc_Ntk_t * , int * , int , Vec_Ptr_t ** );
|
|
|
|
vPiValues = generateProperInputVector(pNtk, c, randVec);
|
|
if (vPiValues == NULL)
|
|
return NULL;
|
|
|
|
output = Abc_NtkVerifySimulatePattern( pNtk, vPiValues );
|
|
|
|
for (i = 0; i < numins; i++) {
|
|
if (!c->clen[c->cfront[i+numouts]]) continue;
|
|
if (vPiValues[i] == 0) vPiValues[i] = 1;
|
|
else vPiValues[i] = 0;
|
|
|
|
output2 = Abc_NtkSimulateOneNode( pNtk, vPiValues, i, topOrder );
|
|
|
|
for (j = 0; j < Vec_IntSize(iDep[i]); j++) {
|
|
if (output[Vec_IntEntry(iDep[i], j)] != output2[Vec_IntEntry(iDep[i], j)]) {
|
|
Vec_IntPush(obs[i], Vec_IntEntry(iDep[i], j));
|
|
Vec_IntPush(ctrl[Vec_IntEntry(iDep[i], j)], i);
|
|
e++;
|
|
}
|
|
}
|
|
|
|
if (vPiValues[i] == 0) vPiValues[i] = 1;
|
|
else vPiValues[i] = 0;
|
|
|
|
ABC_FREE( output2 );
|
|
}
|
|
|
|
/* build the graph */
|
|
g = ABC_ALLOC(struct saucy_graph, 1);
|
|
n = numouts + numins;
|
|
adj = ints(n+1);
|
|
edg = ints(2*e);
|
|
g->n = n;
|
|
g->e = e;
|
|
g->adj = adj;
|
|
g->edg = edg;
|
|
|
|
adj[0] = 0;
|
|
for (i = 0; i < numouts; i++) {
|
|
adj[i+1] = adj[i] + Vec_IntSize(ctrl[i]);
|
|
for (k = 0, j = adj[i]; j < adj[i+1]; j++, k++)
|
|
edg[j] = Vec_IntEntry(ctrl[i], k) + numouts;
|
|
}
|
|
for (i = 0; i < numins; i++) {
|
|
adj[i+numouts+1] = adj[i+numouts] + Vec_IntSize(obs[i]);
|
|
for (k = 0, j = adj[i+numouts]; j < adj[i+numouts+1]; j++, k++)
|
|
edg[j] = Vec_IntEntry(obs[i], k);
|
|
}
|
|
|
|
/* print graph */
|
|
/*for (i = 0; i < n; i++) {
|
|
printf("%d: ", i);
|
|
for (j = adj[i]; j < adj[i+1]; j++)
|
|
printf("%d ", edg[j]);
|
|
printf("\n");
|
|
}*/
|
|
|
|
ABC_FREE( output );
|
|
ABC_FREE( vPiValues );
|
|
for (j = 0; j < numins; j++)
|
|
Vec_IntClear(obs[j]);
|
|
for (j = 0; j < numouts; j++)
|
|
Vec_IntClear(ctrl[j]);
|
|
|
|
return g;
|
|
}
|
|
|
|
static void
|
|
bumpActivity( struct saucy * s, struct sim_result * cex )
|
|
{
|
|
int i;
|
|
struct sim_result * cex2;
|
|
|
|
if ( (cex->activity += s->activityInc) > 1e20 ) {
|
|
/* Rescale: */
|
|
for (i = 0; i < Vec_PtrSize(s->satCounterExamples); i++) {
|
|
cex2 = (struct sim_result *)Vec_PtrEntry(s->satCounterExamples, i);
|
|
cex2->activity *= 1e-20;
|
|
}
|
|
s->activityInc *= 1e-20;
|
|
}
|
|
}
|
|
|
|
static void
|
|
reduceDB( struct saucy * s )
|
|
{
|
|
int i, j;
|
|
double extra_lim = s->activityInc / Vec_PtrSize(s->satCounterExamples); /* Remove any clause below this activity */
|
|
struct sim_result * cex;
|
|
|
|
while (Vec_PtrSize(s->satCounterExamples) > (0.7 * MAX_LEARNTS)) {
|
|
for (i = j = 0; i < Vec_PtrSize(s->satCounterExamples); i++) {
|
|
cex = (struct sim_result *)Vec_PtrEntry(s->satCounterExamples, i);
|
|
if (cex->activity < extra_lim) {
|
|
ABC_FREE(cex->inVec);
|
|
ABC_FREE(cex->outVec);
|
|
ABC_FREE(cex);
|
|
}
|
|
else if (j < i) {
|
|
Vec_PtrWriteEntry(s->satCounterExamples, j, cex);
|
|
j++;
|
|
}
|
|
}
|
|
//printf("Database size reduced from %d to %d\n", Vec_PtrSize(s->satCounterExamples), j);
|
|
Vec_PtrShrink(s->satCounterExamples, j);
|
|
extra_lim *= 2;
|
|
}
|
|
|
|
assert(Vec_PtrSize(s->satCounterExamples) <= (0.7 * MAX_LEARNTS));
|
|
}
|
|
|
|
static struct sim_result *
|
|
analyzeConflict( Abc_Ntk_t * pNtk, int * pModel, int fVerbose )
|
|
{
|
|
Abc_Obj_t * pNode;
|
|
int i, count = 0;
|
|
int * pValues;
|
|
struct sim_result * cex;
|
|
int numouts = Abc_NtkPoNum(pNtk);
|
|
int numins = Abc_NtkPiNum(pNtk);
|
|
|
|
cex = ABC_ALLOC(struct sim_result, 1);
|
|
cex->inVec = ints( numins );
|
|
cex->outVec = ints( numouts );
|
|
|
|
/* get the CO values under this model */
|
|
pValues = Abc_NtkVerifySimulatePattern( pNtk, pModel );
|
|
|
|
Abc_NtkForEachCi( pNtk, pNode, i )
|
|
cex->inVec[Abc_ObjId(pNode)-1] = pModel[i];
|
|
Abc_NtkForEachCo( pNtk, pNode, i ) {
|
|
cex->outVec[Abc_ObjId(pNode)-numins-1] = pValues[i];
|
|
if (pValues[i]) count++;
|
|
}
|
|
|
|
cex->outVecOnes = count;
|
|
cex->activity = 0;
|
|
|
|
if (fVerbose) {
|
|
Abc_NtkForEachCi( pNtk, pNode, i )
|
|
printf(" %s=%d", Abc_ObjName(pNode), pModel[i]);
|
|
printf("\n");
|
|
}
|
|
|
|
ABC_FREE( pValues );
|
|
|
|
return cex;
|
|
}
|
|
|
|
static int
|
|
Abc_NtkCecSat_saucy( Abc_Ntk_t * pNtk1, Abc_Ntk_t * pNtk2, int * pModel )
|
|
{
|
|
extern Abc_Ntk_t * Abc_NtkMulti( Abc_Ntk_t * pNtk, int nThresh, int nFaninMax, int fCnf, int fMulti, int fSimple, int fFactor );
|
|
Abc_Ntk_t * pMiter;
|
|
Abc_Ntk_t * pCnf;
|
|
int RetValue;
|
|
int nConfLimit;
|
|
int nInsLimit;
|
|
int i;
|
|
|
|
nConfLimit = 10000;
|
|
nInsLimit = 0;
|
|
|
|
/* get the miter of the two networks */
|
|
pMiter = Abc_NtkMiter( pNtk1, pNtk2, 1, 0, 0, 0 );
|
|
if ( pMiter == NULL )
|
|
{
|
|
printf( "Miter computation has failed.\n" );
|
|
exit(1);
|
|
}
|
|
RetValue = Abc_NtkMiterIsConstant( pMiter );
|
|
if ( RetValue == 0 )
|
|
{
|
|
//printf( "Networks are NOT EQUIVALENT after structural hashing.\n" );
|
|
/* report the error */
|
|
pMiter->pModel = Abc_NtkVerifyGetCleanModel( pMiter, 1 );
|
|
for (i = 0; i < Abc_NtkPiNum(pNtk1); i++)
|
|
pModel[i] = pMiter->pModel[i];
|
|
ABC_FREE( pMiter->pModel );
|
|
Abc_NtkDelete( pMiter );
|
|
return 0;
|
|
}
|
|
if ( RetValue == 1 )
|
|
{
|
|
Abc_NtkDelete( pMiter );
|
|
//printf( "Networks are equivalent after structural hashing.\n" );
|
|
return 1;
|
|
}
|
|
|
|
/* convert the miter into a CNF */
|
|
pCnf = Abc_NtkMulti( pMiter, 0, 100, 1, 0, 0, 0 );
|
|
Abc_NtkDelete( pMiter );
|
|
if ( pCnf == NULL )
|
|
{
|
|
printf( "Renoding for CNF has failed.\n" );
|
|
exit(1);
|
|
}
|
|
|
|
/* solve the CNF using the SAT solver */
|
|
RetValue = Abc_NtkMiterSat( pCnf, (ABC_INT64_T)nConfLimit, (ABC_INT64_T)nInsLimit, 0, NULL, NULL );
|
|
if ( RetValue == -1 ) {
|
|
printf( "Networks are undecided (SAT solver timed out).\n" );
|
|
exit(1);
|
|
}
|
|
/*else if ( RetValue == 0 )
|
|
printf( "Networks are NOT EQUIVALENT after SAT.\n" );
|
|
else
|
|
printf( "Networks are equivalent after SAT.\n" );*/
|
|
if ( pCnf->pModel ) {
|
|
for (i = 0; i < Abc_NtkPiNum(pNtk1); i++)
|
|
pModel[i] = pCnf->pModel[i];
|
|
}
|
|
ABC_FREE( pCnf->pModel );
|
|
Abc_NtkDelete( pCnf );
|
|
|
|
return RetValue;
|
|
}
|
|
|
|
|
|
void saucyGateWay( Abc_Ntk_t * pNtkOrig, Abc_Obj_t * pNodePo, FILE * gFile, int fBooleanMatching,
|
|
int fLookForSwaps, int fFixOutputs, int fFixInputs, int fQuiet, int fPrintTree )
|
|
{
|
|
Abc_Ntk_t * pNtk;
|
|
struct saucy *s;
|
|
struct saucy_stats stats;
|
|
int *colors;
|
|
int i, clk = clock();
|
|
|
|
if (pNodePo == NULL)
|
|
pNtk = Abc_NtkDup( pNtkOrig );
|
|
else
|
|
pNtk = Abc_NtkCreateCone( pNtkOrig, Abc_ObjFanin0(pNodePo), Abc_ObjName(pNodePo), 0 );
|
|
|
|
if (Abc_NtkPiNum(pNtk) == 0) {
|
|
Abc_Print( 0, "This output is not dependent on any input\n" );
|
|
Abc_NtkDelete( pNtk );
|
|
return;
|
|
}
|
|
|
|
s = saucy_alloc( pNtk );
|
|
|
|
/******* Getting Dependencies *******/
|
|
printf("Build functional dependency graph (dependency stats are below) ... ");
|
|
getDependencies( pNtk, s->iDep, s->oDep );
|
|
printf("\t--------------------\n");
|
|
/************************************/
|
|
|
|
/* Finding toplogical orde */
|
|
s->topOrder = findTopologicalOrder( pNtk );
|
|
|
|
/* Setting graph colors: outputs = 0 and inputs = 1 */
|
|
colors = ints(Abc_NtkPoNum(pNtk) + Abc_NtkPiNum(pNtk));
|
|
if (fFixOutputs) {
|
|
for (i = 0; i < Abc_NtkPoNum(pNtk); i++)
|
|
colors[i] = i;
|
|
} else {
|
|
for (i = 0; i < Abc_NtkPoNum(pNtk); i++)
|
|
colors[i] = 0;
|
|
}
|
|
if (fFixInputs) {
|
|
int c = (fFixOutputs) ? Abc_NtkPoNum(pNtk) : 1;
|
|
for (i = 0; i < Abc_NtkPiNum(pNtk); i++)
|
|
colors[i+Abc_NtkPoNum(pNtk)] = c+i;
|
|
} else {
|
|
int c = (fFixOutputs) ? Abc_NtkPoNum(pNtk) : 1;
|
|
for (i = 0; i < Abc_NtkPiNum(pNtk); i++)
|
|
colors[i+Abc_NtkPoNum(pNtk)] = c;
|
|
}
|
|
|
|
/* Are we looking for Boolean matching? */
|
|
s->fBooleanMatching = fBooleanMatching;
|
|
if (fBooleanMatching) {
|
|
NUM_SIM1_ITERATION = 50;
|
|
NUM_SIM2_ITERATION = 50;
|
|
} else {
|
|
NUM_SIM1_ITERATION = 200;
|
|
NUM_SIM2_ITERATION = 200;
|
|
}
|
|
|
|
/* Set the print automorphism routine */
|
|
if (!fQuiet)
|
|
s->print_automorphism = print_automorphism_ntk;
|
|
else
|
|
s->print_automorphism = print_automorphism_quiet;
|
|
|
|
/* Set the output file for generators */
|
|
if (gFile == NULL)
|
|
s->gFile = stdout;
|
|
else
|
|
s->gFile = gFile;
|
|
|
|
/* Set print tree option */
|
|
s->fPrintTree = fPrintTree;
|
|
|
|
/* Set input permutations option */
|
|
s->fLookForSwaps = fLookForSwaps;
|
|
|
|
saucy_search(pNtk, s, 0, colors, &stats);
|
|
print_stats(stdout, stats);
|
|
if (fBooleanMatching) {
|
|
if (stats.grpsize_base > 1 || stats.grpsize_exp > 0)
|
|
printf("*** Networks are equivalent ***\n");
|
|
else
|
|
printf("*** Networks are NOT equivalent ***\n");
|
|
}
|
|
saucy_free(s);
|
|
Abc_NtkDelete(pNtk);
|
|
|
|
if (1) {
|
|
FILE * hadi = fopen("hadi.txt", "a");
|
|
fprintf(hadi, "group size = %fe%d\n",
|
|
stats.grpsize_base, stats.grpsize_exp);
|
|
fclose(hadi);
|
|
}
|
|
|
|
ABC_PRT( "Runtime", clock() - clk );
|
|
|
|
}ABC_NAMESPACE_IMPL_END
|
|
|
|
|