public UniformAdaptiveCompetitorRandom(UniformAdaptiveCompetitorModel model, ExperimentHistory history, double holeSize, double ballSize)
{
this._model = model;
this._history = history;
_holeSize = holeSize;
_ballSize = ballSize;
}
public void Sample()
{
#region Конфигурирование
var adaptiveCompetitorModel = new UniformAdaptiveCompetitorModel
{
HitProbabilityFactorIfPlayerHit = 1.2,
HitProbabilityFactorIfPlayerMissed = 1,
PlayerHistorySamples = new List<PlayerHistorySample>
{
new PlayerHistorySample
{
GameTitle = "Game"
}
}
};
var history = CreateHistory(hitCount: 50, size: 100, lastStrikeHit: true);
var holeSize = 2;
var ballSize = 1;
#endregion
var newSamples = new List<double>();
var generator = new UniformAdaptiveCompetitorRandom(adaptiveCompetitorModel, history, holeSize, ballSize);
var sampesSize = 1000;
for (var j = 0; j < sampesSize; j++)
{
newSamples.Add(generator.Sample());
}
#region Оценка ошибки
var a = (holeSize - ballSize)/2.0;
double hitCounts = newSamples.Count(newSample => Math.Abs(newSample) < a);
#endregion
Assert.IsTrue(Math.Abs(hitCounts/sampesSize - 0.6) < 0.05);
}
public void Sample3()
{
#region Конфигурирование
var adaptiveCompetitorModel = new UniformAdaptiveCompetitorModel
{
HitProbabilityFactorIfPlayerHit = 1,
HitProbabilityFactorIfPlayerMissed = 0,
PlayerHistorySamples = new List<PlayerHistorySample>
{
new PlayerHistorySample
{
GameTitle = "Game"
}
}
};
var history = CreateHistory(hitCount: 50, size: 100, lastStrikeHit: false);
var holeSize = 2;
var ballSize = 1;
#endregion
var newSamples = new List<double>();
var generator = new UniformAdaptiveCompetitorRandom(adaptiveCompetitorModel, history, holeSize, ballSize);
generator.Sample();
}
