private string upDateChanseAfterUse(string MoveUp, MovingXml currentObject, int value)
{
var index = fullMoves.IndexOf(currentObject);
var dictCurrentObj = currentObject.Chanse;
if (last != null)
{
var indexprev = fullMoves.IndexOf(fullMoves.FirstOrDefault(n => n.possiton == last));
var PrevObject = fullMoves[indexprev];
if (!currentObject.PrevPossiton.Select(n => n.Position).Contains(last))
{
currentObject.PrevPossiton.Add(new PrevChoes {
Position = last, Move = lastChoese
});
}
}
dictCurrentObj[MoveUp] = currentObject.Chanse[MoveUp] + value;
currentObject.Chanse = dictCurrentObj;
fullMoves[index] = currentObject;
FileContorl file = new FileContorl(_fileName);
file.update(fullMoves);
return(dictCurrentObj.ProbablityRandom());
}
public void GetSetTests()
{
MovingXml xml = new MovingXml();
xml.Chanse = generateValues();
Assert.NotEmpty(xml.moves);
Assert.NotEmpty(xml.chanses);
var dic = xml.Chanse;
dic["10"] = 21;
xml.Chanse = dic;
Assert.Equal(21, xml.Chanse["10"]);
}
private MovingXml shareForOne(List <MovingXml> nextMoves, out int value)
{
value = 0;
MovingXml best = nextMoves[0];
foreach (var item in nextMoves)
{
if (best == item)
{
continue;
}
else
{
best = whoIsTheBest(item, best, out value);
}
}
return(best);
}
private MovingXml whoIsTheBest(MovingXml item, MovingXml best, out int value)
{
var valueItem = figureCounting(item.possiton);
var valueBest = figureCounting(best.possiton);
if (valueBest > valueItem)
{
value = valueBest - valueItem;
}
if (valueBest < valueItem)
{
value = valueItem - valueBest;
}
else
{
value = 0;
}
return(valueItem > valueBest ? item : best);
}
public void ChanseSetTest()
{
MovingXml ob = new MovingXml();
}
private bool findConnection(MovingXml one, MovingXml two, out string move)
{
move = two.PrevPossiton.FirstOrDefault(n => n.Position == one.possiton).Move;
return(!string.IsNullOrEmpty(move));
}
