public Stats(StatsOptions options)
{
m_options = options;
m_count = 0;
m_min = Extremum <T> .EmptyMin;
m_max = Extremum <T> .EmptyMax;
m_sum = KahanSum.Zero;
m_sumOfSquares = KahanSum.Zero;
}
public void Add(Stats <T> s)
{
if (s.m_options != m_options)
{
throw new ArgumentException("need matching options for adding");
}
m_count += s.m_count;
m_sum.Add(s.m_sum);
m_min = Extremum <T> .Min(m_min, s.m_min);
m_max = Extremum <T> .Min(m_max, s.m_max);
m_sumOfSquares.Add(s.m_sumOfSquares);
}
public static Stats <T> operator+(Stats <T> s0, Stats <T> s1)
{
if (s0.m_options != s1.m_options)
{
throw new ArgumentException("need matching options for adding");
}
return(new Stats <T>(s0.m_options)
{
m_count = s0.m_count + s1.m_count,
m_sum = s0.m_sum + s1.m_sum,
m_min = Extremum <T> .Min(s0.m_min, s1.m_min),
m_max = Extremum <T> .Min(s0.m_max, s1.m_max),
m_sumOfSquares = s0.m_sumOfSquares + s1.m_sumOfSquares,
});
}
public static Extremum <T> Min(Extremum <T> e0, Extremum <T> e1)
{
return(e0.m_value < e1.m_value ? e0 : e1);
}
public static Extremum <T> Max(Extremum <T> e0, Extremum <T> e1)
{
return(e0.m_value >= e1.m_value ? e0 : e1);
}
