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adplanner.cpp

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/*
 * Copyright (c) 2008, Maxim Likhachev
 * All rights reserved.
 * 
 * Redistribution and use in source and binary forms, with or without
 * modification, are permitted provided that the following conditions are met:
 * 
 *     * Redistributions of source code must retain the above copyright
 *       notice, this list of conditions and the following disclaimer.
 *     * Redistributions in binary form must reproduce the above copyright
 *       notice, this list of conditions and the following disclaimer in the
 *       documentation and/or other materials provided with the distribution.
 *     * Neither the name of the University of Pennsylvania nor the names of its
 *       contributors may be used to endorse or promote products derived from
 *       this software without specific prior written permission.
 * 
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
 * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE
 * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
 * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
 * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
 * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
 * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
 * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
 * POSSIBILITY OF SUCH DAMAGE.
 */
#include <iostream>
using namespace std;

#include "../../sbpl/headers.h"




//-----------------------------------------------------------------------------------------------------

ADPlanner::ADPlanner(DiscreteSpaceInformation* environment, bool bForwardSearch)
{
    environment_ = environment;
    
        bforwardsearch = bForwardSearch;

        bsearchuntilfirstsolution = false;
    finitial_eps = AD_DEFAULT_INITIAL_EPS;
    searchexpands = 0;
    MaxMemoryCounter = 0;
    
#ifndef ROS
  const char* debug = "debug.txt";
#endif
  fDeb = SBPL_FOPEN(debug, "w");
  if(fDeb == NULL){
    SBPL_ERROR("ERROR: could not open planner debug file\n");
    throw new SBPL_Exception();
  }
    SBPL_PRINTF("debug on\n");    

    pSearchStateSpace_ = new ADSearchStateSpace_t;
    
    
    //create the AD planner
    if(CreateSearchStateSpace(pSearchStateSpace_) != 1)
        {
            SBPL_ERROR("ERROR: failed to create statespace\n");
            return;
        }
    
    //set the start and goal states
    if(InitializeSearchStateSpace(pSearchStateSpace_) != 1)
        {
            SBPL_ERROR("ERROR: failed to create statespace\n");
            return;
        }    

    finitial_eps_planning_time = -1.0;
    final_eps_planning_time = -1.0;
    num_of_expands_initial_solution = 0;
    final_eps = -1.0;
}

ADPlanner::~ADPlanner()
{

    //delete the statespace
    DeleteSearchStateSpace(pSearchStateSpace_);
    delete pSearchStateSpace_;

    SBPL_FCLOSE(fDeb);
}


void ADPlanner::Initialize_searchinfo(CMDPSTATE* state, ADSearchStateSpace_t* pSearchStateSpace)
{

        ADState* searchstateinfo = (ADState*)state->PlannerSpecificData;

        searchstateinfo->MDPstate = state;
        InitializeSearchStateInfo(searchstateinfo, pSearchStateSpace); 
}


CMDPSTATE* ADPlanner::CreateState(int stateID, ADSearchStateSpace_t* pSearchStateSpace)
{       
        CMDPSTATE* state = NULL;

#if DEBUG
        if(environment_->StateID2IndexMapping[stateID][ADMDP_STATEID2IND] != -1)
        {
                SBPL_ERROR("ERROR in CreateState: state already created\n");
                throw new SBPL_Exception();
        }
#endif

        //adds to the tail a state
        state = pSearchStateSpace->searchMDP.AddState(stateID);

        //remember the index of the state
        environment_->StateID2IndexMapping[stateID][ADMDP_STATEID2IND] = pSearchStateSpace->searchMDP.StateArray.size()-1;

#if DEBUG
        if(state != pSearchStateSpace->searchMDP.StateArray[environment_->StateID2IndexMapping[stateID][ADMDP_STATEID2IND]])
        {
                SBPL_ERROR("ERROR in CreateState: invalid state index\n");
                throw new SBPL_Exception();
        }
#endif


        //create search specific info
        state->PlannerSpecificData = (ADState*)malloc(sizeof(ADState)); 
        Initialize_searchinfo(state, pSearchStateSpace);
        MaxMemoryCounter += sizeof(ADState);

        return state;

}


CMDPSTATE* ADPlanner::GetState(int stateID, ADSearchStateSpace_t* pSearchStateSpace)
{       

        if(stateID >= (int)environment_->StateID2IndexMapping.size())
        {
                SBPL_ERROR("ERROR int GetState: stateID is invalid\n");
                throw new SBPL_Exception();
        }

        if(environment_->StateID2IndexMapping[stateID][ADMDP_STATEID2IND] == -1)
                return CreateState(stateID, pSearchStateSpace);
        else
                return pSearchStateSpace->searchMDP.StateArray[environment_->StateID2IndexMapping[stateID][ADMDP_STATEID2IND]];

}



//-----------------------------------------------------------------------------------------------------


CKey ADPlanner::ComputeKey(ADState* state)
{
        CKey key;

        if(state->v >= state->g)
        {
                key.key[0] = state->g + (int)(pSearchStateSpace_->eps*state->h);
                key.key[1] = 1;
        }
        else
        {
                key.key[0] = state->v + state->h;
                key.key[1] = 0;
        }

        return key;
}


int ADPlanner::ComputeHeuristic(CMDPSTATE* MDPstate, ADSearchStateSpace_t* pSearchStateSpace)
{
        //compute heuristic for search
        if(bforwardsearch)
        {

#if MEM_CHECK == 1
                //int WasEn = DisableMemCheck();
#endif

                //forward search: heur = distance from state to searchgoal which is Goal ADState
                int retv =  environment_->GetGoalHeuristic(MDPstate->StateID);

#if MEM_CHECK == 1
                //if (WasEn)
                //      EnableMemCheck();
#endif

                return retv;
        }
        else
        {       
                //backward search: heur = distance from searchgoal to state
                return environment_->GetStartHeuristic(MDPstate->StateID);
        }

}


//initialization of a state
void ADPlanner::InitializeSearchStateInfo(ADState* state, ADSearchStateSpace_t* pSearchStateSpace)
{
        state->g = INFINITECOST;
        state->v = INFINITECOST;
        state->iterationclosed = 0;
        state->callnumberaccessed = pSearchStateSpace->callnumber;
        state->bestnextstate = NULL;
        state->costtobestnextstate = INFINITECOST;
        state->heapindex = 0;
        state->listelem[AD_INCONS_LIST_ID] = NULL;
        state->numofexpands = 0;
        state->bestpredstate = NULL;

        //compute heuristics
#if USE_HEUR
        if(pSearchStateSpace->searchgoalstate != NULL)
                state->h = ComputeHeuristic(state->MDPstate, pSearchStateSpace); 
        else 
                state->h = 0;
#else
        state->h = 0;
#endif


}



//re-initialization of a state
void ADPlanner::ReInitializeSearchStateInfo(ADState* state, ADSearchStateSpace_t* pSearchStateSpace)
{
        state->g = INFINITECOST;
        state->v = INFINITECOST;
        state->iterationclosed = 0;
        state->callnumberaccessed = pSearchStateSpace->callnumber;
        state->bestnextstate = NULL;
        state->costtobestnextstate = INFINITECOST;
        state->heapindex = 0;
        state->listelem[AD_INCONS_LIST_ID] = NULL;
        state->numofexpands = 0;
        state->bestpredstate = NULL;

        //compute heuristics
#if USE_HEUR

        if(pSearchStateSpace->searchgoalstate != NULL)
        {
                state->h = ComputeHeuristic(state->MDPstate, pSearchStateSpace); 
        }
        else 
                state->h = 0;

#else

        state->h = 0;

#endif


}



void ADPlanner::DeleteSearchStateData(ADState* state)
{
        //no memory was allocated
        MaxMemoryCounter = 0;
        return;
}


void ADPlanner::UpdateSetMembership(ADState* state)
{
        CKey key;

    if(state->v != state->g)
    {
        if(state->iterationclosed != pSearchStateSpace_->searchiteration)
        {
                        key = ComputeKey(state);
            if(state->heapindex == 0)
                        {
                                //need to remove it because it can happen when updating edge costs and state is in incons
                                if(state->listelem[AD_INCONS_LIST_ID] != NULL)
                                        pSearchStateSpace_->inconslist->remove(state, AD_INCONS_LIST_ID); 

                pSearchStateSpace_->heap->insertheap(state, key);

                        }
            else
                                pSearchStateSpace_->heap->updateheap(state, key);
        }
                else if(state->listelem[AD_INCONS_LIST_ID] == NULL)
                {
                        pSearchStateSpace_->inconslist->insert(state, AD_INCONS_LIST_ID);
                }
    }
    else
    {
        if(state->heapindex != 0)
            pSearchStateSpace_->heap->deleteheap(state);
        else if(state->listelem[AD_INCONS_LIST_ID] != NULL)
                        pSearchStateSpace_->inconslist->remove(state, AD_INCONS_LIST_ID);
    }
}


void ADPlanner::Recomputegval(ADState* state)
{
    vector<int> searchpredsIDV; //these are predecessors if search is done forward and successors otherwise
    vector<int> costV;
        CKey key;
        ADState *searchpredstate;

        if(bforwardsearch)
            environment_->GetPreds(state->MDPstate->StateID, &searchpredsIDV, &costV);
        else
                environment_->GetSuccs(state->MDPstate->StateID, &searchpredsIDV, &costV);

        //iterate through predecessors of s and pick the best
        state->g = INFINITECOST;
        for(int pind = 0; pind < (int)searchpredsIDV.size(); pind++)
        {
                if(environment_->StateID2IndexMapping[searchpredsIDV[pind]][ADMDP_STATEID2IND] == -1)
                        continue; //skip the states that do not exist - they can not be used to improve g-value anyway

                CMDPSTATE* predMDPState = GetState(searchpredsIDV[pind], pSearchStateSpace_);
                int cost = costV[pind];
                searchpredstate = (ADState*)(predMDPState->PlannerSpecificData);
        
                //see if it can be used to improve
                if(searchpredstate->callnumberaccessed == pSearchStateSpace_->callnumber && state->g > searchpredstate->v + cost)
                {
                        if(bforwardsearch)
                        {
                                state->g = searchpredstate->v + cost;
                                state->bestpredstate = predMDPState;
                        }
                        else
                        {
                                state->g = searchpredstate->v + cost;
                                state->bestnextstate = predMDPState;
                                state->costtobestnextstate = cost;
                        }
                }               
        } //over preds
}



//used for backward search
void ADPlanner::UpdatePredsofOverconsState(ADState* state, ADSearchStateSpace_t* pSearchStateSpace)
{
    vector<int> PredIDV;
    vector<int> CostV;
        CKey key;
        ADState *predstate;

    environment_->GetPreds(state->MDPstate->StateID, &PredIDV, &CostV);

        //iterate through predecessors of s
        for(int pind = 0; pind < (int)PredIDV.size(); pind++)
        {
                CMDPSTATE* PredMDPState = GetState(PredIDV[pind], pSearchStateSpace);
                predstate = (ADState*)(PredMDPState->PlannerSpecificData);
                if(predstate->callnumberaccessed != pSearchStateSpace->callnumber)
                        ReInitializeSearchStateInfo(predstate, pSearchStateSpace);

                //see if we can improve the value of predstate
                if(predstate->g > state->v + CostV[pind])
                {

#if DEBUG
                        if(predstate->MDPstate->StateID == 679256)
                        {
                                SBPL_FPRINTF(fDeb, "updating pred %d of overcons exp\n", predstate->MDPstate->StateID);
                                PrintSearchState(predstate, fDeb);
                                SBPL_FPRINTF(fDeb, "\n");
                        }
#endif


                        predstate->g = state->v + CostV[pind];
                        predstate->bestnextstate = state->MDPstate;
                        predstate->costtobestnextstate = CostV[pind];

                        //update set membership
                        UpdateSetMembership(predstate);

#if DEBUG
                        if(predstate->MDPstate->StateID == 679256)
                        {
                                SBPL_FPRINTF(fDeb, "updated pred %d of overcons exp\n", predstate->MDPstate->StateID);
                                PrintSearchState(predstate, fDeb);
                                SBPL_FPRINTF(fDeb, "\n");
                        }
#endif

                }
        } //for predecessors

}

//used for forward search
void ADPlanner::UpdateSuccsofOverconsState(ADState* state, ADSearchStateSpace_t* pSearchStateSpace)
{
    vector<int> SuccIDV;
    vector<int> CostV;
        CKey key;
        ADState *succstate;

    environment_->GetSuccs(state->MDPstate->StateID, &SuccIDV, &CostV);

        //iterate through predecessors of s
        for(int sind = 0; sind < (int)SuccIDV.size(); sind++)
        {
                CMDPSTATE* SuccMDPState = GetState(SuccIDV[sind], pSearchStateSpace);
                int cost = CostV[sind];

                succstate = (ADState*)(SuccMDPState->PlannerSpecificData);
                if(succstate->callnumberaccessed != pSearchStateSpace->callnumber)
                        ReInitializeSearchStateInfo(succstate, pSearchStateSpace);

                //see if we can improve the value of succstate
                //taking into account the cost of action
                if(succstate->g > state->v + cost)
                {
                        succstate->g = state->v + cost;
                        succstate->bestpredstate = state->MDPstate; 

                        //update set membership
                        UpdateSetMembership(succstate);

                } //check for cost improvement 

        } //for actions
}



//used for backward search
void ADPlanner::UpdatePredsofUnderconsState(ADState* state, ADSearchStateSpace_t* pSearchStateSpace)
{
    vector<int> PredIDV;
    vector<int> CostV;
        CKey key;
        ADState *predstate;

    environment_->GetPreds(state->MDPstate->StateID, &PredIDV, &CostV);

        //iterate through predecessors of s
        for(int pind = 0; pind < (int)PredIDV.size(); pind++)
        {

                CMDPSTATE* PredMDPState = GetState(PredIDV[pind], pSearchStateSpace);
                predstate = (ADState*)(PredMDPState->PlannerSpecificData);
                if(predstate->callnumberaccessed != pSearchStateSpace->callnumber)
                        ReInitializeSearchStateInfo(predstate, pSearchStateSpace);

                if(predstate->bestnextstate == state->MDPstate)
        {                                 
                        Recomputegval(predstate);
                        UpdateSetMembership(predstate);

#if DEBUG
                        if(predstate->MDPstate->StateID == 679256)
                        {
                                SBPL_FPRINTF(fDeb, "updated pred %d of undercons exp\n", predstate->MDPstate->StateID);
                                PrintSearchState(predstate, fDeb);
                                SBPL_FPRINTF(fDeb, "\n");
                        }
#endif

                }               
        } //for predecessors

}



//used for forward search
void ADPlanner::UpdateSuccsofUnderconsState(ADState* state, ADSearchStateSpace_t* pSearchStateSpace)
{
    vector<int> SuccIDV;
    vector<int> CostV;
        CKey key;
        ADState *succstate;

    environment_->GetSuccs(state->MDPstate->StateID, &SuccIDV, &CostV);

        //iterate through predecessors of s
        for(int sind = 0; sind < (int)SuccIDV.size(); sind++)
        {
                CMDPSTATE* SuccMDPState = GetState(SuccIDV[sind], pSearchStateSpace);
                succstate = (ADState*)(SuccMDPState->PlannerSpecificData);

                if(succstate->callnumberaccessed != pSearchStateSpace->callnumber)
                        ReInitializeSearchStateInfo(succstate, pSearchStateSpace);

                if(succstate->bestpredstate == state->MDPstate)
        {                                 
                        Recomputegval(succstate);
                        UpdateSetMembership(succstate);
                }               

        } //for actions
}



int ADPlanner::GetGVal(int StateID, ADSearchStateSpace_t* pSearchStateSpace)
{
         CMDPSTATE* cmdp_state = GetState(StateID, pSearchStateSpace);
         ADState* state = (ADState*)cmdp_state->PlannerSpecificData;
         return state->g;
}

//returns 1 if the solution is found, 0 if the solution does not exist and 2 if it ran out of time
int ADPlanner::ComputePath(ADSearchStateSpace_t* pSearchStateSpace, double MaxNumofSecs)
{
        int expands;
        ADState *state, *searchgoalstate;
        CKey key, minkey;
        CKey goalkey;

        expands = 0;

        if(pSearchStateSpace->searchgoalstate == NULL)
        {
                SBPL_ERROR("ERROR searching: no goal state is set\n");
                throw new SBPL_Exception();
        }

        //goal state
        searchgoalstate = (ADState*)(pSearchStateSpace->searchgoalstate->PlannerSpecificData);
        if(searchgoalstate->callnumberaccessed != pSearchStateSpace->callnumber)
                ReInitializeSearchStateInfo(searchgoalstate, pSearchStateSpace);

        //set goal key
        goalkey = ComputeKey(searchgoalstate);

        //expand states until done
        minkey = pSearchStateSpace->heap->getminkeyheap();
        CKey oldkey = minkey;
        while(!pSearchStateSpace->heap->emptyheap() && minkey.key[0] < INFINITECOST && (goalkey > minkey || searchgoalstate->g > searchgoalstate->v) &&
                (clock()-TimeStarted) < MaxNumofSecs*(double)CLOCKS_PER_SEC) 
    {

                //get the state         
                state = (ADState*)pSearchStateSpace->heap->deleteminheap();


#if DEBUG
                CKey debkey = ComputeKey(state);
                //SBPL_FPRINTF(fDeb, "expanding state(%d): g=%u v=%u h=%d key=[%d %d] iterc=%d callnuma=%d expands=%d (g(goal)=%u)\n",
                //      state->MDPstate->StateID, state->g, state->v, state->h, (int)debkey[0], (int)debkey[1],  
                //      state->iterationclosed, state->callnumberaccessed, state->numofexpands, searchgoalstate->g);
                if(state->MDPstate->StateID == 679256)
                {
                        SBPL_FPRINTF(fDeb, "expanding state %d with key=[%d %d]:\n", state->MDPstate->StateID, (int)debkey[0], (int)debkey[1]);
                        PrintSearchState(state, fDeb);
                        environment_->PrintState(state->MDPstate->StateID, true, fDeb);
                }
                //SBPL_FFLUSH(fDeb);
                if(state->listelem[AD_INCONS_LIST_ID] != NULL)
                {
                        SBPL_ERROR("ERROR: expanding state from INCONS list\n");
                        throw new SBPL_Exception();
                }
#endif


#if DEBUG
                if(minkey.key[0] < oldkey.key[0] && fabs(this->finitial_eps - 1.0) < ERR_EPS)
                {
                        SBPL_PRINTF("WARN in search: the sequence of keys decreases in an optimal search\n");
                        //throw new SBPL_Exception();
                }
                oldkey = minkey;
#endif


                if(state->v == state->g)
                {
                        SBPL_ERROR("ERROR: consistent state is being expanded\n");
                        throw new SBPL_Exception();
                }

                //new expand      
                expands++;
                state->numofexpands++;

                if(state->v > state->g)
                {
                        //overconsistent expansion

                        //recompute state value      
                        state->v = state->g;
                        state->iterationclosed = pSearchStateSpace->searchiteration;

                        if(!bforwardsearch)
                        {
                                UpdatePredsofOverconsState(state, pSearchStateSpace);
                        }
                        else
                        {
                                UpdateSuccsofOverconsState(state, pSearchStateSpace);
                        }
                }
                else
                {
                        //underconsistent expansion

                        //force the state to be overconsistent
                        state->v = INFINITECOST;
        
                        //update state membership
                        UpdateSetMembership(state);


                        if(!bforwardsearch)
                        {
                                UpdatePredsofUnderconsState(state, pSearchStateSpace);
                        }
                        else
                                UpdateSuccsofUnderconsState(state, pSearchStateSpace);

                }
      

                //recompute minkey
                minkey = pSearchStateSpace->heap->getminkeyheap();

                //recompute goalkey if necessary
                goalkey = ComputeKey(searchgoalstate);

                if(expands%100000 == 0 && expands > 0)
                {
                        SBPL_PRINTF("expands so far=%u\n", expands);
                }

        }

        int retv = 1;
        if(searchgoalstate->g == INFINITECOST && pSearchStateSpace->heap->emptyheap())
        {
                SBPL_PRINTF("solution does not exist: search exited because heap is empty\n");

#if DEBUG
                SBPL_FPRINTF(fDeb, "solution does not exist: search exited because heap is empty\n");
#endif

                retv = 0;
        }
        else if(!pSearchStateSpace->heap->emptyheap() && (goalkey > minkey || searchgoalstate->g > searchgoalstate->v))
        {
                SBPL_PRINTF("search exited because it ran out of time\n");
#if DEBUG
                SBPL_FPRINTF(fDeb, "search exited because it ran out of time\n");
#endif
                retv = 2;
        }
        else if(searchgoalstate->g == INFINITECOST && !pSearchStateSpace->heap->emptyheap())
        {
                SBPL_PRINTF("solution does not exist: search exited because all candidates for expansion have infinite heuristics\n");
#if DEBUG
                SBPL_FPRINTF(fDeb, "solution does not exist: search exited because all candidates for expansion have infinite heuristics\n");
#endif
                retv = 0;
        }
        else
        {
                SBPL_PRINTF("search exited with a solution for eps=%.3f\n", pSearchStateSpace->eps);
#if DEBUG
                SBPL_FPRINTF(fDeb, "search exited with a solution for eps=%.3f\n", pSearchStateSpace->eps);
#endif
                retv = 1;
        }

        //SBPL_FPRINTF(fDeb, "expanded=%d\n", expands);

        searchexpands += expands;

        return retv;            
}


void ADPlanner::BuildNewOPENList(ADSearchStateSpace_t* pSearchStateSpace)
{
        ADState *state;
        CKey key;
        CHeap* pheap = pSearchStateSpace->heap;
        CList* pinconslist = pSearchStateSpace->inconslist; 
                
        //move incons into open
        while(pinconslist->firstelement != NULL)
          {
            state = (ADState*)pinconslist->firstelement->liststate;
            
            //compute f-value
                key = ComputeKey(state);
            
            //insert into OPEN
        if(state->heapindex == 0)
            pheap->insertheap(state, key);
        else
            pheap->updateheap(state, key); //should never happen, but sometimes it does - somewhere there is a bug TODO
            //remove from INCONS
            pinconslist->remove(state, AD_INCONS_LIST_ID);
          }

        pSearchStateSpace->bRebuildOpenList = false;

}


void ADPlanner::Reevaluatefvals(ADSearchStateSpace_t* pSearchStateSpace)
{
        CKey key;
        int i;
        CHeap* pheap = pSearchStateSpace->heap;
        
#if DEBUG
        SBPL_FPRINTF(fDeb, "re-computing heap priorities\n");
#endif

        //recompute priorities for states in OPEN and reorder it
        for (i = 1; i <= pheap->currentsize; ++i)
          {
                ADState* state = (ADState*)pheap->heap[i].heapstate;
                pheap->heap[i].key = ComputeKey(state);
          }
        pheap->makeheap();

        pSearchStateSpace->bReevaluatefvals = false;
}




//creates (allocates memory) search state space
//does not initialize search statespace
int ADPlanner::CreateSearchStateSpace(ADSearchStateSpace_t* pSearchStateSpace)
{

        //create a heap
        pSearchStateSpace->heap = new CHeap;
        pSearchStateSpace->inconslist = new CList;
        MaxMemoryCounter += sizeof(CHeap);
        MaxMemoryCounter += sizeof(CList);

        pSearchStateSpace->searchgoalstate = NULL;
        pSearchStateSpace->searchstartstate = NULL;

        searchexpands = 0;


    pSearchStateSpace->bReinitializeSearchStateSpace = false;
        
        return 1;
}

//deallocates memory used by SearchStateSpace
void ADPlanner::DeleteSearchStateSpace(ADSearchStateSpace_t* pSearchStateSpace)
{
        if(pSearchStateSpace->heap != NULL)
        {
                pSearchStateSpace->heap->makeemptyheap();
                delete pSearchStateSpace->heap;
                pSearchStateSpace->heap = NULL;
        }

        if(pSearchStateSpace->inconslist != NULL)
        {
                pSearchStateSpace->inconslist->makeemptylist(AD_INCONS_LIST_ID);
                delete pSearchStateSpace->inconslist;
                pSearchStateSpace->inconslist = NULL;
        }

        //delete the states themselves
        int iend = (int)pSearchStateSpace->searchMDP.StateArray.size();
        for(int i=0; i < iend; i++)
        {
                CMDPSTATE* state = pSearchStateSpace->searchMDP.StateArray[i];
                DeleteSearchStateData((ADState*)state->PlannerSpecificData);
                free(state->PlannerSpecificData); // allocated with malloc() on line 199 of revision 19485
                state->PlannerSpecificData = NULL;
        }
        pSearchStateSpace->searchMDP.Delete();
        environment_->StateID2IndexMapping.clear();
}



//reset properly search state space
//needs to be done before deleting states
int ADPlanner::ResetSearchStateSpace(ADSearchStateSpace_t* pSearchStateSpace)
{
        pSearchStateSpace->heap->makeemptyheap();
        pSearchStateSpace->inconslist->makeemptylist(AD_INCONS_LIST_ID);

        return 1;
}

//initialization before each search
void ADPlanner::ReInitializeSearchStateSpace(ADSearchStateSpace_t* pSearchStateSpace)
{
        CKey key;

        //increase callnumber
        pSearchStateSpace->callnumber++;

        //reset iteration
        pSearchStateSpace->searchiteration = 0;


#if DEBUG
    SBPL_FPRINTF(fDeb, "reinitializing search state-space (new call number=%d search iter=%d)\n", 
            pSearchStateSpace->callnumber,pSearchStateSpace->searchiteration );
#endif



        pSearchStateSpace->heap->makeemptyheap();
        pSearchStateSpace->inconslist->makeemptylist(AD_INCONS_LIST_ID);

    //reset 
        pSearchStateSpace->eps = this->finitial_eps;
    pSearchStateSpace->eps_satisfied = INFINITECOST;

        //initialize start state
        ADState* startstateinfo = (ADState*)(pSearchStateSpace->searchstartstate->PlannerSpecificData);
        if(startstateinfo->callnumberaccessed != pSearchStateSpace->callnumber)
                ReInitializeSearchStateInfo(startstateinfo, pSearchStateSpace);

        startstateinfo->g = 0;

        //insert start state into the heap
        key = ComputeKey(startstateinfo);
        pSearchStateSpace->heap->insertheap(startstateinfo, key);

    pSearchStateSpace->bReinitializeSearchStateSpace = false;
        pSearchStateSpace->bReevaluatefvals = false;
        pSearchStateSpace->bRebuildOpenList = false;
}

//very first initialization
int ADPlanner::InitializeSearchStateSpace(ADSearchStateSpace_t* pSearchStateSpace)
{

        if(pSearchStateSpace->heap->currentsize != 0 || 
                pSearchStateSpace->inconslist->currentsize != 0)
        {
                SBPL_ERROR("ERROR in InitializeSearchStateSpace: heap or list is not empty\n");
                throw new SBPL_Exception();
        }

        pSearchStateSpace->eps = this->finitial_eps;
    pSearchStateSpace->eps_satisfied = INFINITECOST;
        pSearchStateSpace->searchiteration = 0;
        pSearchStateSpace->callnumber = 0;
        pSearchStateSpace->bReevaluatefvals = false;
        pSearchStateSpace->bRebuildOpenList = false;


        //create and set the search start state
        pSearchStateSpace->searchgoalstate = NULL;
        //pSearchStateSpace->searchstartstate = GetState(SearchStartStateID, pSearchStateSpace);
    pSearchStateSpace->searchstartstate = NULL;
        

    pSearchStateSpace->bReinitializeSearchStateSpace = true;

        return 1;

}


int ADPlanner::SetSearchGoalState(int SearchGoalStateID, ADSearchStateSpace_t* pSearchStateSpace)
{

        if(pSearchStateSpace->searchgoalstate == NULL || 
                pSearchStateSpace->searchgoalstate->StateID != SearchGoalStateID)
        {
                pSearchStateSpace->searchgoalstate = GetState(SearchGoalStateID, pSearchStateSpace);

                //current solution may be invalid
                pSearchStateSpace->eps_satisfied = INFINITECOST;
                pSearchStateSpace_->eps = this->finitial_eps;           

                //recompute heuristic for the heap if heuristics is used
#if USE_HEUR
                int i;
                //TODO - should get rid of and instead use iteration to re-compute h-values online as needed
                for(i = 0; i < (int)pSearchStateSpace->searchMDP.StateArray.size(); i++)
                {
                        CMDPSTATE* MDPstate = pSearchStateSpace->searchMDP.StateArray[i];
                        ADState* state = (ADState*)MDPstate->PlannerSpecificData;
                        state->h = ComputeHeuristic(MDPstate, pSearchStateSpace);
                }
#if DEBUG
                SBPL_PRINTF("re-evaluated heuristic values for %d states\n", i);
#endif
                
                pSearchStateSpace->bReevaluatefvals = true;
#endif
        }


        return 1;

}


int ADPlanner::SetSearchStartState(int SearchStartStateID, ADSearchStateSpace_t* pSearchStateSpace)
{
        CMDPSTATE* MDPstate = GetState(SearchStartStateID, pSearchStateSpace); 

        if(MDPstate !=  pSearchStateSpace->searchstartstate)
        {       
                pSearchStateSpace->searchstartstate = MDPstate;
                pSearchStateSpace->bReinitializeSearchStateSpace = true;
                pSearchStateSpace->bRebuildOpenList = true;
        }

        return 1;

}



int ADPlanner::ReconstructPath(ADSearchStateSpace_t* pSearchStateSpace)
{       

        //nothing to do, if search is backward
        if(bforwardsearch)
        {

                CMDPSTATE* MDPstate = pSearchStateSpace->searchgoalstate;
                CMDPSTATE* PredMDPstate;
                ADState *predstateinfo, *stateinfo;
                        
                int steps = 0;
                const int max_steps = 100000;
                while(MDPstate != pSearchStateSpace->searchstartstate && steps < max_steps)
                {
                        steps++;

                        stateinfo = (ADState*)MDPstate->PlannerSpecificData;

                        if(stateinfo->g == INFINITECOST)
                        {       
                                //SBPL_ERROR("ERROR in ReconstructPath: g of the state on the path is INFINITE\n");
                                //throw new SBPL_Exception();
                                return -1;
                        }

                        if(stateinfo->bestpredstate == NULL)
                        {
                                SBPL_ERROR("ERROR in ReconstructPath: bestpred is NULL\n");
                                throw new SBPL_Exception();
                        }

                        //get the parent state
                        PredMDPstate = stateinfo->bestpredstate;
                        predstateinfo = (ADState*)PredMDPstate->PlannerSpecificData;

                        //set its best next info
                        predstateinfo->bestnextstate = MDPstate;

                        //check the decrease of g-values along the path
                        if(predstateinfo->v >= stateinfo->g)
                        {
                                SBPL_ERROR("ERROR in ReconstructPath: g-values are non-decreasing\n");
                                throw new SBPL_Exception();
                        }

                        //transition back
                        MDPstate = PredMDPstate;
                }

                if(MDPstate != pSearchStateSpace->searchstartstate){
                        SBPL_ERROR("ERROR: Failed to reconstruct path (compute bestnextstate pointers): steps processed=%d\n", steps);
                        return 0;
                }
        }

        return 1;
}


void ADPlanner::PrintSearchState(ADState* searchstateinfo, FILE* fOut)
{

        CKey key = ComputeKey(searchstateinfo);
        SBPL_FPRINTF(fOut, "g=%d v=%d h = %d heapindex=%d inconslist=%d key=[%d %d] iterc=%d callnuma=%d expands=%d (current callnum=%d iter=%d)", 
                        searchstateinfo->g, searchstateinfo->v, searchstateinfo->h, searchstateinfo->heapindex, (searchstateinfo->listelem[AD_INCONS_LIST_ID] != NULL),
                        (int)key[0], (int)key[1], searchstateinfo->iterationclosed, searchstateinfo->callnumberaccessed, searchstateinfo->numofexpands,
                                this->pSearchStateSpace_->callnumber, this->pSearchStateSpace_->searchiteration);

}

void ADPlanner::PrintSearchPath(ADSearchStateSpace_t* pSearchStateSpace, FILE* fOut)
{
  ADState* searchstateinfo;
  CMDPSTATE* state = pSearchStateSpace->searchgoalstate;
  CMDPSTATE* nextstate = NULL;

  if(fOut == NULL)
    fOut = stdout;

  int PathCost = ((ADState*)pSearchStateSpace->searchgoalstate->PlannerSpecificData)->g;

  SBPL_FPRINTF(fOut, "Printing a path from state %d to the search start state %d\n", 
          state->StateID, pSearchStateSpace->searchstartstate->StateID);
  SBPL_FPRINTF(fOut, "Path cost = %d:\n", PathCost);
                                
  environment_->PrintState(state->StateID, true, fOut);

  int costFromStart = 0;
  int steps = 0;
  const int max_steps = 100000;
  while(state->StateID != pSearchStateSpace->searchstartstate->StateID && steps < max_steps)
    {
      steps++;

      SBPL_FPRINTF(fOut, "state %d ", state->StateID);

      if(state->PlannerSpecificData == NULL)
        {
          SBPL_FPRINTF(fOut, "path does not exist since search data does not exist\n");
          break;
        }

      searchstateinfo = (ADState*)state->PlannerSpecificData;

      if(bforwardsearch)
        nextstate = searchstateinfo->bestpredstate;
      else
        nextstate = searchstateinfo->bestnextstate;

      if(nextstate == NULL)
        {
          SBPL_FPRINTF(fOut, "path does not exist since nextstate == NULL\n");
          break;
        }
      if(searchstateinfo->g == INFINITECOST)
        {
          SBPL_FPRINTF(fOut, "path does not exist since state->g == NULL\n");
          break;
        }

      int costToGoal = PathCost - costFromStart;
      if(!bforwardsearch)
        {
          //otherwise this cost is not even set
          costFromStart += searchstateinfo->costtobestnextstate;
        }


#if DEBUG
      if(searchstateinfo->g > searchstateinfo->v){
        SBPL_FPRINTF(fOut, "ERROR: underconsistent state %d is encountered\n", state->StateID);
        throw new SBPL_Exception();
      }

      if(!bforwardsearch) //otherwise this cost is not even set
        {
          if(nextstate->PlannerSpecificData != NULL && searchstateinfo->g < searchstateinfo->costtobestnextstate + ((ADState*)(nextstate->PlannerSpecificData))->g)
            {
              SBPL_FPRINTF(fOut, "ERROR: g(source) < c(source,target) + g(target)\n");
              throw new SBPL_Exception();
            }
        }

#endif

      //PrintSearchState(searchstateinfo, fOut);        
      SBPL_FPRINTF(fOut, "-->state %d ctg = %d  ", 
              nextstate->StateID, costToGoal);

      state = nextstate;

      environment_->PrintState(state->StateID, true, fOut);

    }

  if(state->StateID != pSearchStateSpace->searchstartstate->StateID){
    SBPL_ERROR("ERROR: Failed to printsearchpath, max_steps reached\n");
    return;
  }

}

int ADPlanner::getHeurValue(ADSearchStateSpace_t* pSearchStateSpace, int StateID)
{
        CMDPSTATE* MDPstate = GetState(StateID, pSearchStateSpace);
        ADState* searchstateinfo = (ADState*)MDPstate->PlannerSpecificData;
        return searchstateinfo->h;
}


vector<int> ADPlanner::GetSearchPath(ADSearchStateSpace_t* pSearchStateSpace, int& solcost)
{
  vector<int> SuccIDV;
  vector<int> CostV;
  vector<int> wholePathIds;
  ADState* searchstateinfo;
  CMDPSTATE* state = NULL; 
  CMDPSTATE* goalstate = NULL;
  CMDPSTATE* startstate=NULL;

  if(bforwardsearch)
    {
      startstate = pSearchStateSpace->searchstartstate;
      goalstate = pSearchStateSpace->searchgoalstate;
      
      //reconstruct the path by setting bestnextstate pointers appropriately
      if(ReconstructPath(pSearchStateSpace) != 1){
        solcost = INFINITECOST;
        return wholePathIds;
      }
    }
  else
    {
      startstate = pSearchStateSpace->searchgoalstate;
      goalstate = pSearchStateSpace->searchstartstate;
    }


#if DEBUG
  //PrintSearchPath(pSearchStateSpace, fDeb);
#endif


  state = startstate;

  wholePathIds.push_back(state->StateID);
  solcost = 0;

  FILE* fOut = stdout;
  if(fOut == NULL){
    SBPL_ERROR("ERROR: could not open file\n");
    throw new SBPL_Exception();
  }
  int steps = 0;
  const int max_steps = 100000;
  while(state->StateID != goalstate->StateID && steps < max_steps)
    {
      steps++;

      if(state->PlannerSpecificData == NULL)
        {
          SBPL_FPRINTF(fOut, "path does not exist since search data does not exist\n");
          break;
        }

      searchstateinfo = (ADState*)state->PlannerSpecificData;

      if(searchstateinfo->bestnextstate == NULL)
        {
          SBPL_FPRINTF(fOut, "path does not exist since bestnextstate == NULL\n");
          break;
        }
      if(searchstateinfo->g == INFINITECOST)
        {
          SBPL_FPRINTF(fOut, "path does not exist since bestnextstate == NULL\n");
          break;
        }

      environment_->GetSuccs(state->StateID, &SuccIDV, &CostV);
      int actioncost = INFINITECOST;
      for(int i = 0; i < (int)SuccIDV.size(); i++)
        {   
    if(SuccIDV.at(i) == searchstateinfo->bestnextstate->StateID && CostV.at(i)<actioncost)
            actioncost = CostV.at(i);

        }
      solcost += actioncost;

      if(searchstateinfo->v < searchstateinfo->g)
        {
          SBPL_ERROR("ERROR: underconsistent state on the path\n");
          PrintSearchState(searchstateinfo, stdout);
          //SBPL_FPRINTF(fDeb, "ERROR: underconsistent state on the path\n");
          //PrintSearchState(searchstateinfo, fDeb);
          throw new SBPL_Exception();
        }

      //SBPL_FPRINTF(fDeb, "actioncost=%d between states %d and %d\n", 
      //        actioncost, state->StateID, searchstateinfo->bestnextstate->StateID);
      //environment_->PrintState(state->StateID, false, fDeb);
      //environment_->PrintState(searchstateinfo->bestnextstate->StateID, false, fDeb);


      state = searchstateinfo->bestnextstate;

      wholePathIds.push_back(state->StateID);
    }

  if(state->StateID != goalstate->StateID){
    SBPL_ERROR("ERROR: Failed to getsearchpath, steps processed=%d\n", steps);
    wholePathIds.clear();
    solcost = INFINITECOST;
    return wholePathIds;
  }

  //PrintSearchPath(pSearchStateSpace, stdout); 
        
  return wholePathIds;
}



bool ADPlanner::Search(ADSearchStateSpace_t* pSearchStateSpace, vector<int>& pathIds, int & PathCost, bool bFirstSolution, bool bOptimalSolution, double MaxNumofSecs)
{
        CKey key;
        TimeStarted = clock();
    searchexpands = 0;

#if DEBUG
        SBPL_FPRINTF(fDeb, "new search call (call number=%d)\n", pSearchStateSpace->callnumber);
#endif

    if(pSearchStateSpace->bReinitializeSearchStateSpace == true){
        //re-initialize state space 
        ReInitializeSearchStateSpace(pSearchStateSpace);
    }


        if(bOptimalSolution)
        {
                pSearchStateSpace->eps = 1;
                MaxNumofSecs = INFINITECOST;
        }
        else if(bFirstSolution)
        {
                MaxNumofSecs = INFINITECOST;
        }

        //ensure heuristics are up-to-date
        environment_->EnsureHeuristicsUpdated((bforwardsearch==true));

        //the main loop of AD*
        int prevexpands = 0;
  clock_t loop_time;
        while(pSearchStateSpace->eps_satisfied > AD_FINAL_EPS && 
                (clock()- TimeStarted) < MaxNumofSecs*(double)CLOCKS_PER_SEC)
        {
    loop_time = clock();
                //it will be a new search iteration
                if(pSearchStateSpace->searchiteration == 0) pSearchStateSpace->searchiteration++;

                //decrease eps for all subsequent iterations
                if(fabs(pSearchStateSpace->eps_satisfied - pSearchStateSpace->eps) < ERR_EPS && !bFirstSolution)
                {
                        pSearchStateSpace->eps = pSearchStateSpace->eps - AD_DECREASE_EPS;
                        if(pSearchStateSpace->eps < AD_FINAL_EPS)
                                pSearchStateSpace->eps = AD_FINAL_EPS;


                        pSearchStateSpace->bReevaluatefvals = true;
                        pSearchStateSpace->bRebuildOpenList = true;

                        pSearchStateSpace->searchiteration++;
                }

                //build a new open list by merging it with incons one
                if(pSearchStateSpace->bRebuildOpenList)
                        BuildNewOPENList(pSearchStateSpace);
                
                //re-compute f-values if necessary and reorder the heap
                if(pSearchStateSpace->bReevaluatefvals)
                        Reevaluatefvals(pSearchStateSpace);


                //improve or compute path
                if(ComputePath(pSearchStateSpace, MaxNumofSecs) == 1){
            pSearchStateSpace->eps_satisfied = pSearchStateSpace->eps;
        }

                //print the solution cost and eps bound
                SBPL_PRINTF("eps=%f expands=%d g(sstart)=%d\n", pSearchStateSpace->eps_satisfied, searchexpands - prevexpands,
                                                        ((ADState*)pSearchStateSpace->searchgoalstate->PlannerSpecificData)->g);

    if(pSearchStateSpace->eps_satisfied == finitial_eps && pSearchStateSpace->eps == finitial_eps)
    {
      finitial_eps_planning_time = double(clock()-loop_time)/CLOCKS_PER_SEC;
      num_of_expands_initial_solution = searchexpands - prevexpands;
    }

#if DEBUG
        SBPL_FPRINTF(fDeb, "eps=%f eps_sat=%f expands=%d g(sstart)=%d\n", pSearchStateSpace->eps, pSearchStateSpace->eps_satisfied, searchexpands - prevexpands,
                                                        ((ADState*)pSearchStateSpace->searchgoalstate->PlannerSpecificData)->g);
#endif
                prevexpands = searchexpands;


                //if just the first solution then we are done
                if(bFirstSolution)
                        break;

                //no solution exists
                if(((ADState*)pSearchStateSpace->searchgoalstate->PlannerSpecificData)->g == INFINITECOST)
                        break;

        }


#if DEBUG
        SBPL_FFLUSH(fDeb);
#endif

        PathCost = ((ADState*)pSearchStateSpace->searchgoalstate->PlannerSpecificData)->g;
        MaxMemoryCounter += environment_->StateID2IndexMapping.size()*sizeof(int);
        
        SBPL_PRINTF("MaxMemoryCounter = %d\n", MaxMemoryCounter);

        int solcost = INFINITECOST;
    bool ret = false;
        if(PathCost == INFINITECOST || pSearchStateSpace_->eps_satisfied == INFINITECOST)
        {
                SBPL_PRINTF("could not find a solution\n");
                ret = false;
        }
        else
        {
                SBPL_PRINTF("solution is found\n");

        pathIds = GetSearchPath(pSearchStateSpace, solcost);
        ret = true;
        }

        SBPL_PRINTF("total expands this call = %d, planning time = %.3f secs, solution cost=%d\n", 
           searchexpands, (clock()-TimeStarted)/((double)CLOCKS_PER_SEC), solcost);
  final_eps_planning_time = (clock()-TimeStarted)/((double)CLOCKS_PER_SEC);
  final_eps = pSearchStateSpace->eps_satisfied;
    

    //SBPL_FPRINTF(fStat, "%d %d\n", searchexpands, solcost);

        return ret;

}

void ADPlanner::Update_SearchSuccs_of_ChangedEdges(vector<int> const * statesIDV)
{
        SBPL_PRINTF("updating %d affected states\n", (unsigned int)statesIDV->size());

        if(statesIDV->size() > environment_->StateID2IndexMapping.size()/10)
        {
                SBPL_PRINTF("skipping affected states and instead restarting planner from scratch\n");
                pSearchStateSpace_->bReinitializeSearchStateSpace = true;
        }

        //it will be a new search iteration
        pSearchStateSpace_->searchiteration++;

        //will need to rebuild open list
        pSearchStateSpace_->bRebuildOpenList = true;


        int numofstatesaffected = 0;
        for(int pind = 0; pind < (int)statesIDV->size(); pind++)
        {
                int stateID = statesIDV->at(pind);

                //first check that the state exists (to avoid creation of additional states)
                if(environment_->StateID2IndexMapping[stateID][ADMDP_STATEID2IND] == -1)
                        continue;

                //now get the state
                CMDPSTATE* state = GetState(stateID, pSearchStateSpace_);
                ADState* searchstateinfo = (ADState*)state->PlannerSpecificData;

                //now check that the state is not start state and was created after last search reset
                if(stateID != pSearchStateSpace_->searchstartstate->StateID && searchstateinfo->callnumberaccessed == pSearchStateSpace_->callnumber)
                {

#if DEBUG
                        SBPL_FPRINTF(fDeb, "updating affected state %d:\n", stateID);
                        PrintSearchState(searchstateinfo, fDeb);
                        SBPL_FPRINTF(fDeb, "\n");
#endif

                        //now we really do need to update it
                        Recomputegval(searchstateinfo);
                        UpdateSetMembership(searchstateinfo);
                        numofstatesaffected++;

#if DEBUG
                        SBPL_FPRINTF(fDeb, "the state %d after update\n", stateID);
                        PrintSearchState(searchstateinfo, fDeb);
                        SBPL_FPRINTF(fDeb, "\n");
#endif


                }
        }

        //TODO - check. I believe that there are cases when number of states generated is drastically smaller than the number of states really affected, which is a bug!
        SBPL_PRINTF("%d states really affected (%d states generated total so far)\n", numofstatesaffected, (int)environment_->StateID2IndexMapping.size());

        //reset eps for which we know a path was computed
        if(numofstatesaffected > 0)
        {
                //make sure eps is reset appropriately
                pSearchStateSpace_->eps = this->finitial_eps;

                //reset the satisfied eps
            pSearchStateSpace_->eps_satisfied = INFINITECOST;
        }

}


//-----------------------------Interface function-----------------------------------------------------
//returns 1 if found a solution, and 0 otherwise
int ADPlanner::replan(double allocated_time_secs, vector<int>* solution_stateIDs_V)
{
        int solcost;

        return replan(allocated_time_secs, solution_stateIDs_V, &solcost);
        
}



//returns 1 if found a solution, and 0 otherwise
int ADPlanner::replan(double allocated_time_secs, vector<int>* solution_stateIDs_V, int* psolcost)
{
    vector<int> pathIds; 
    int PathCost = 0;
    bool bFound = false;
        *psolcost = 0;
        bool bOptimalSolution = false;

        SBPL_PRINTF("planner: replan called (bFirstSol=%d, bOptSol=%d)\n", bsearchuntilfirstsolution, bOptimalSolution);

    //plan for the first solution only
    if((bFound = Search(pSearchStateSpace_, pathIds, PathCost, bsearchuntilfirstsolution, bOptimalSolution, allocated_time_secs)) == false) 
    {
        SBPL_PRINTF("failed to find a solution\n");
    }

    //copy the solution
    *solution_stateIDs_V = pathIds;
        *psolcost = PathCost;

        return (int)bFound;

}

int ADPlanner::set_goal(int goal_stateID)
{

        SBPL_PRINTF("planner: setting goal to %d\n", goal_stateID);
        environment_->PrintState(goal_stateID, true, stdout);

        //it will be a new search iteration
        pSearchStateSpace_->searchiteration++;
        pSearchStateSpace_->bRebuildOpenList = true; //is not really necessary for search goal changes

        if(bforwardsearch)
        {
                if(SetSearchGoalState(goal_stateID, pSearchStateSpace_) != 1)
                        {
                                SBPL_ERROR("ERROR: failed to set search goal state\n");
                                return 0;
                        }
        }
        else
        {
                if(SetSearchStartState(goal_stateID, pSearchStateSpace_) != 1)
                        {
                                SBPL_ERROR("ERROR: failed to set search start state\n");
                                return 0;
                        }
        }

    return 1;
}


int ADPlanner::set_start(int start_stateID)
{

        SBPL_PRINTF("planner: setting start to %d\n", start_stateID);
        environment_->PrintState(start_stateID, true, stdout);

        //it will be a new search iteration
        pSearchStateSpace_->searchiteration++;
        pSearchStateSpace_->bRebuildOpenList = true;


        if(bforwardsearch)
        {
                if(SetSearchStartState(start_stateID, pSearchStateSpace_) != 1)
                        {
                                SBPL_ERROR("ERROR: failed to set search start state\n");
                                return 0;
                        }
        }
        else
        {
                if(SetSearchGoalState(start_stateID, pSearchStateSpace_) != 1)
                        {
                                SBPL_ERROR("ERROR: failed to set search goal state\n");
                                return 0;
                        }
        }

    return 1;

}


void ADPlanner::update_succs_of_changededges(vector<int>* succstatesIDV)
{
        SBPL_PRINTF("UpdateSuccs called on %d succs\n", (unsigned int)succstatesIDV->size());

        Update_SearchSuccs_of_ChangedEdges(succstatesIDV);
}

void ADPlanner::update_preds_of_changededges(vector<int>* predstatesIDV)
{
        SBPL_PRINTF("UpdatePreds called on %d preds\n", (unsigned int)predstatesIDV->size());

        Update_SearchSuccs_of_ChangedEdges(predstatesIDV);
}


int ADPlanner::force_planning_from_scratch()
{
        SBPL_PRINTF("planner: forceplanfromscratch set\n");

    pSearchStateSpace_->bReinitializeSearchStateSpace = true;

    return 1;
}


int ADPlanner::set_search_mode(bool bSearchUntilFirstSolution)
{
        SBPL_PRINTF("planner: search mode set to %d\n", bSearchUntilFirstSolution);

        bsearchuntilfirstsolution = bSearchUntilFirstSolution;

        return 1;
}


void ADPlanner::costs_changed(StateChangeQuery const & stateChange)
{
  if(pSearchStateSpace_->bReinitializeSearchStateSpace == true || pSearchStateSpace_->searchiteration == 0)
          return; //no processing if no search efforts anyway

  if (bforwardsearch)
    Update_SearchSuccs_of_ChangedEdges(stateChange.getSuccessors());
  else
    Update_SearchSuccs_of_ChangedEdges(stateChange.getPredecessors());
}


//---------------------------------------------------------------------------------------------------------

---

sbpl
Author(s): Maxim Likhachev/maximl@seas.upenn.edu
autogenerated on Fri Mar 1 14:18:56 2013