public static IPlayer CreateCompetitor(StrikeInfo strikeModel, Ball ball, Hole hole, User player, ExperimentHistory history, IBallKickPhysics ballKick)
{
if (history == null)
throw new NullReferenceException("history");
IPlayer competitor;
var competitorModel = strikeModel.CompetitorModel;
if (competitorModel == null)
throw new NullReferenceException("Модель соперника не задана");
if (competitorModel is UniformCompetitorModel)
{
competitor = new UniformCompetitor(ball, hole, strikeModel.CompetitorModel as UniformCompetitorModel, player, ballKick);
}
else if (competitorModel is NormalAdaptiveCompetitorModel)
{
var errorGenerator = new NormalAdaptiveCompetitorRandom(strikeModel.CompetitorModel as NormalAdaptiveCompetitorModel, history);
competitor = new Competitor(ball.Position.X, hole.Position.X, errorGenerator, ballKick);
}
else if (competitorModel is UniformAdaptiveCompetitorModel)
{
var errorGenerator = new UniformAdaptiveCompetitorRandom(strikeModel.CompetitorModel as UniformAdaptiveCompetitorModel, history, strikeModel.Hole.Size, strikeModel.Ball.Size);
competitor = new Competitor(ball.Position.X, hole.Position.X, errorGenerator, ballKick);
}
else
{
throw new InvalidOperationException($"Модель соперника \"{competitorModel.GetType().Name}\" не поддерживается");
}
return competitor;
}
public void Sample()
{
#region Конфигурирование
var adaptiveCompetitorModel = new NormalAdaptiveCompetitorModel
{
ErrorMeanFactor = 1,
ErrorStddevFactor = 1,
PlayerHistorySamples = new List<PlayerHistorySample>
{
new PlayerHistorySample
{
GameTitle = "Game"
}
}
};
var mean = 1;
var stddev = 1;
var history = CreateHistory(mean, stddev, size: 1000);
#endregion
var newSamples = new List<double>();
for (var j = 0; j < 1000; j++)
{
var generator = new NormalAdaptiveCompetitorRandom(adaptiveCompetitorModel, history);
newSamples.Add(generator.Sample());
}
var newNormal = Normal.Estimate(newSamples);
var newMean = newNormal.Mean;
var newStddev = newNormal.StdDev;
Assert.IsTrue(Math.Abs(newMean - mean) < 0.09);
Assert.IsTrue(Math.Abs(newStddev - stddev) < 0.05);
}
public void Sample2()
{
#region Конфигурирование
var adaptiveCompetitorModel = new NormalAdaptiveCompetitorModel
{
ErrorMeanFactor = 0,
ErrorStddevFactor = 0,
PlayerHistorySamples = new List<PlayerHistorySample>
{
new PlayerHistorySample
{
GameTitle = "Game"
}
}
};
var mean = 0;
var stddev = 1;
var history = CreateHistory(mean, stddev, size: 2);
#endregion
var newSamples = new List<double>();
var generator = new NormalAdaptiveCompetitorRandom(adaptiveCompetitorModel, history);
Assert.AreEqual(generator.Sample(), 0);
}
