public static float IdealAge(AthleteSex ASex, float dist)
{
if (Wava.list == null)
{
Wava.list = WavaTable();
}
int sex = 1;
if (ASex == AthleteSex.Female) { sex = 0; }
int dlow = lowDistIndex(dist);
if (Math.Abs(dist - aDist[dlow + 1]) < Math.Abs(dist - aDist[dlow]))
{
dlow++;
}
int alow = 0;
for (int i = 1; i <= maxAge - minAge; i++)
{
if (Wava.list[sex, i, dlow] < Wava.list[sex, alow, dlow])
{
alow=i;
}
}
return alow + minAge;
}
public static float IdealTime(AthleteSex ASex, float dist, float age)
{
if (Wava.list == null)
{
Wava.list = WavaTable();
}
//The array is "complete" - otherwise there have to be some interpolations
int sex = 1;
if (ASex == AthleteSex.Female) { sex = 0; }
int alow = (int)age - minAge;
if (alow < 0) { alow = 0; }
int maxIndex = maxAge - minAge - 1;
if (alow > maxIndex) { alow = maxIndex; }
int dlow = lowDistIndex(dist);
float af = (age - alow - minAge); //high-low diff always 1
float df = (dist - aDist[dlow]) / (aDist[dlow + 1] - aDist[dlow]);
float time =
(1 - af) * (1 - df) * Wava.list[sex, alow + 0, dlow + 0] +
(1 - af) * (0 + df) * Wava.list[sex, alow + 0, dlow + 1] +
(0 + af) * (1 - df) * Wava.list[sex, alow + 1, dlow + 0] +
(0 + af) * (0 + df) * Wava.list[sex, alow + 1, dlow + 1];
return time;
}
public static void SetAgeSexFromActivity(IActivity act)
{
Predict.Sex = Plugin.GetApplication().Logbook.Athlete.Sex;
DateTime d;
if (act == null)
{
d = DateTime.Now;
}
else
{
d = act.StartTime;
}
float age = (float)(d - Plugin.GetApplication().Logbook.Athlete.DateOfBirth).TotalDays / 365.24f;
if (!float.IsNaN(age))
{
Predict.CurrentAge = age;
}
}
