コード例 #1
0
    List <levelTesterState_s> SearchAllOptionsOneLevelDeep(levelTesterState_s parentState, ref levelTesterState_s bestState, int personToExclude)
    {
        List <levelTesterState_s> returnState = new List <levelTesterState_s>();

        foreach (actionPossibility _actionPossibility in FindAllPossibleActions())
        {
            if (_actionPossibility.personIndex == personToExclude)
            {
                continue;
            }

            ReturnToPreviousLevelState(parentState);
            PerformAnAction(_actionPossibility);
            levelTesterState_s currentState = GetLevelState();
            currentState.InitializeStart();
            currentState.numStepsToReach = currentStepsTaken;
            currentState.AddPath(parentState.pathOfActions, _actionPossibility.personIndex, _actionPossibility.isGoodAction);
            //MonoBehaviour.print ("current and parent:" + currentState.pathOfActions + " from " + parentState.pathOfActions);

            if (currentState == winState)                                       // if you find a win state...
            {
                bestWinStateHasBeenFound = true;
                returnState.Add(currentState);
                bestState = currentState;
                MonoBehaviour.print("the win state is: " + currentState.pathOfActions);
                break;
            }
            else if (CheckIfMatchingStateExists(currentState).isNull)                           // if it's a new state...
            {
                statesThatHaveBeenReached.Add(currentState);
                returnState.Add(currentState);
            }
            else
            {
                //MonoBehaviour.print ("matching state -- end branch");
            }
        }
        return(returnState);
    }
コード例 #2
0
    public levelTesterState_s PathfindLevel_BreadthFirst(int personToExclude)
    {
        FindNetworkManager();
        bestWinStateHasBeenFound = false;
        // create winning state for reference
        List <Mood> allPositive = new List <Mood>();

        for (int i = 0; i < networkMgr.GetNumPeople(); i++)
        {
            allPositive.Add(Mood.Positive);
        }
        winState = new levelTesterState_s(allPositive, true, 0);
        levelTesterState_s bestWinState = new levelTesterState_s();

        levelTesterState_s gameStartingState = GetLevelState();

        gameStartingState.InitializeStart();
        statesThatHaveBeenReached.Clear();
        statesThatHaveBeenReached.Add(gameStartingState);

        // make a default "best win"
        bestWinState.numStepsToReach = 99;

        // create lists to hold the "levels" of depth for the search
        List <levelTesterState_s> parentList = new List <levelTesterState_s>();
        List <levelTesterState_s> childList  = new List <levelTesterState_s>();

        parentList.Add(gameStartingState);                      // to start, game start state is in the parent list...

        currentStepsTaken = 0;
        while (!bestWinStateHasBeenFound)
        {
            currentStepsTaken++;
            if (currentStepsTaken > 10)
            {
                MonoBehaviour.print("breaking out early, none found"); break;
            }
            if (parentList.Count == 0)
            {
                //MonoBehaviour.print ("TESTER FEEDBACK: this level is impossible");
                bestWinState.numStepsToReach = -1;
                return(bestWinState);
            }
            foreach (levelTesterState_s _parentState in parentList)
            {
                childList.AddRange(SearchAllOptionsOneLevelDeep(_parentState, ref bestWinState, personToExclude));
                if (bestWinStateHasBeenFound)
                {
                    break;
                }
            }
            if (!bestWinStateHasBeenFound)
            {
                parentList.Clear();
                parentList.AddRange(childList);
                childList.Clear();
            }
            else
            {
                //MonoBehaviour.print ("TESTER FEEDBACK: requires " + bestWinState.numStepsToReach + " steps");
            }
        }
        return(bestWinState);
    }