public static DenormalizedProbability <int> Get(int lb, int ub)
{
#if DEBUG
if (lb > ub)
{
throw new InvalidOperationException("lb > ub");
}
#endif
if (lb == ub)
{
return(ConstantDistribution <int> .Get(lb));
}
var index = new KeyValuePair <int, int>(lb, ub);
if (_cache.TryGetValue(index, out var val))
{
return(new DenormalizedProbability <int>(val));
}
var raw = new Dictionary <int, float>();
for (int x = lb; x <= ub; x++)
{
raw[x] = 1;
}
var ret = new DenormalizedProbability <int>(raw);
ret.Normalize();
_cache[index] = new DenormalizedProbability <int>(ret);
return(ret);
}
public static DenormalizedProbability <T> Apply(DenormalizedProbability <KeyValuePair <T, T> > src, Func <T, T, T> op)
{
#if DEBUG
if (null == op)
{
throw new ArgumentNullException(nameof(op));
}
if (null == src)
{
throw new ArgumentNullException(nameof(src));
}
#endif
var ret = new DenormalizedProbability <T>();
foreach (var x in src._weights)
{
ret[op(x.Key.Key, x.Key.Value)] += x.Value;
}
ret.Normalize();
return(ret);
}
