public ProfilerStatistics[] PerformAnalysis()
{
var dict = CreateDictionary();
var stats = dict.Select(kvp => ProfilerStatistics.CalculateStatistics(kvp.Key, kvp.Value));
return(stats.ToArray());
}
public static ProfilerStatistics CalculateStatistics(int code, List <TimeSpan> times)
{
var result = new ProfilerStatistics(code, times.ToArray());
var mean = times.Average(t => t.Ticks);
double variance = 0;
for (int i = 0; i < times.Count; i++)
{
variance += ((times[i].Ticks - mean) * (times[i].Ticks - mean)) / times.Count;
}
var stdDev = Math.Sqrt(variance);
result.TotalTime = new TimeSpan(times.Sum(ts => ts.Ticks));
result.Mean = new TimeSpan((long)mean);
result.Min = times.Min();
result.Max = times.Max();
result.StandardDeviation = new TimeSpan((long)stdDev);
return(result);
}
