public void ScoreJump(JumpData data, EventParameters parameters)
{
//Set jump data
_jumpData = data;
//Calculate and set jump score
double score = 0;
//Length
//points = basepoints + (length-kpoint)*metervalue
score += parameters.BasePoints + (data.JumpLength - parameters.KPoint) * parameters.MeterValue;
//Wind correction (+/-)
//length correction = (wind correction)*(kpoint-36)/20, rounded to nearest 0,5 meters
//!!!
//Exact rounding rule should be double checked!
//!!!
//points = (length correction)*metervalue
double lengthCorrectionWind = data.WindCorrection * (parameters.KPoint - 36) / 20;
lengthCorrectionWind = Math.Round(lengthCorrectionWind * 2, MidpointRounding.AwayFromZero) / 2;
score += lengthCorrectionWind * parameters.MeterValue;
//Platform correction (+/-)
//length correction = (platform correction)*(platform correction factor)
//points = (length correction)*metervalue
double lengthCorrectionPlatform = data.PlatformCorrection * parameters.PlatformCorrectionFactor;
score += lengthCorrectionPlatform * parameters.MeterValue;
//Style points
//5 judges, 5 style points between 0-20, min and max values are removed
//points = sum(remaining 3 styles)
IList <double> usedStylePoints = data.StylePoints.OrderBy(sp => sp).Skip(1).Take(3).ToList();
score += usedStylePoints.Sum();
_jumpScore = score;
//Note negative points for a jump are possible by the scoring algorithm and are allowed by the implementation!
}
public Jump(EventCompetitor competitor)
{
_competitor = competitor;
_jumpData = new JumpData();
_jumpScore = 0;
}
public Jump()
{
_competitor = new EventCompetitor();
_jumpData = new JumpData();
_jumpScore = 0;
}
