static void PrintStatistics(ObservationStatistics stats)
{
Console.WriteLine($"Observation with greatest height:\tHeight = {stats.GreatestHeightObservation.Height}, Weight = {stats.GreatestHeightObservation.Weight}");
Console.WriteLine($"Observation with greatest weight:\tHeight = {stats.GreatestWeightObservation.Height}, Weight = {stats.GreatestWeightObservation.Weight}");
Console.WriteLine($"Observation with least height:\tHeight = {stats.LeastHeightObservation.Height}, Weight = {stats.LeastHeightObservation.Weight}");
Console.WriteLine($"Observation with least weight:\tHeight = {stats.LeastWeightObservation.Height}, Weight = {stats.LeastWeightObservation.Weight}");
Console.WriteLine($"Mean Height:\t{stats.MeanHeight}");
Console.WriteLine($"Mean Weight:\t{stats.MeanWeight}");
Console.WriteLine($"Median Height:\t{stats.MedianHeight}");
Console.WriteLine($"Median Weight:\t{stats.MedianWeight}");
Console.WriteLine($"Height Standard Deviation:\t{stats.HeightStandardDeviation}");
Console.WriteLine($"Weight Standard Deviation:\t{stats.WeightStandardDeviation}");
}
// Only method by which to obtain an instance of this class
public static ObservationStatistics CalculateStatistics(List <Observation> obs)
{
if (obs == null || obs.Count == 0)
{
throw new ArgumentException("Invalid input.");
}
int m = (obs.Count / 2) - 1;
float h = 0.0f, w = 0.0f;
ObservationStatistics result = new ObservationStatistics();
result.GreatestHeightObservation = result.GetObservationWithComparisonPredicate(obs
, (lhs, rhs) => lhs.Height.CompareTo(rhs.Height));
result.GreatestWeightObservation = result.GetObservationWithComparisonPredicate(obs
, (lhs, rhs) => lhs.Weight.CompareTo(rhs.Weight));
result.LeastHeightObservation = result.GetObservationWithComparisonPredicate(obs
, (lhs, rhs) => - 1 * lhs.Height.CompareTo(rhs.Height));
result.LeastWeightObservation = result.GetObservationWithComparisonPredicate(obs
, (lhs, rhs) => - 1 * lhs.Weight.CompareTo(rhs.Weight));
obs.ForEach((ob) => {
result.MeanHeight += ob.Height;
result.MeanWeight += ob.Weight;
});
result.MeanHeight /= (float)obs.Count;
result.MeanWeight /= (float)obs.Count;
if ((obs.Count & 1) == 0)
{
result.MedianHeight = (obs[m].Height + obs[m + 1].Height) / 2.0f;
result.MedianWeight = (obs[m].Weight + obs[m + 1].Weight) / 2.0f;
}
else
{
result.MedianHeight = obs[m].Height;
result.MedianWeight = obs[m].Weight;
}
obs.ForEach((ob) => {
h = h + (float)Math.Pow((ob.Height - result.MeanHeight), 2.0);
w = w + (float)Math.Pow((ob.Weight - result.MeanWeight), 2.0);
});
h = h / (float)obs.Count;
w = w / (float)obs.Count;
result.HeightStandardDeviation = (float)Math.Sqrt(h);
result.WeightStandardDeviation = (float)Math.Sqrt(w);
return(result);
}
static void Main(string[] args)
{
try
{
if (args == null || args.Length <= 1 || !File.Exists(args[1]))
{
throw new Exception("Invalid command line argument");
}
List <Observation> obs = null;
using (StreamReader sr = new StreamReader(args[1]))
{
obs = ObservationReader.ReadObservations(sr);
}
ObservationStatistics stats = ObservationStatistics.CalculateStatistics(obs);
PrintStatistics(stats);
}
catch (Exception ex)
{
Console.Error.WriteLine($"Unexpected exception occured: {ex.Message}.");
}
}
