I think what you are looking for are type-indexed data structures. For the most part they are fortuitously supported by the CLR if you only need one instance of the dictionary. (Sorry for the C# syntax.)
1 2 3 4 5 6 7 8 9 10
static class MyDictionary<T> { public static List<List<T>> Value; } // add to dictionary MyDictionary<int>.Value = new List<List<int>>(); // access dictionary if(MyDictionary<string>.Value != null) { ... }
For example you cant store an int mapping over to a List<List<int>>, and also a string over to a List<List<string>> in the same dictionary. Static typing does not allow this without casting to obj or somelike that.
If you use a discriminated union for the type it will minimize your types options but it win't force the key to be of same type as the container.
Strongly typed heterogeneous collections seem to be possible.
I'm a novice in this area, but I think we would need higher-kinded types and abstractions like type classes.
Here is some chatter on the topic for C# and scala
For now I just want to find my way to a solution that is the least bad. :-)
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What would be the best way to accomplish something like a dictionary where the keys are types, and the values are containers of collections of those types?
f.ex. Dictionary<T,List<List<T>>> ... but or course this can only be instantiated with a single type T...I would to have the equivalent of a type constraint on T, but allow T to be variable so that each Key is a different type, and each value is a List<List<T>> where T is the same type as the Key.
My use case is a container for different kinds of time series. I would like to retain type information to avoid downstream casting by storing all the series in a container-per-type that is stored as the value and keyed off the type.
Can I use discriminated unions? or should it just be Dictionary<Type,List<List<Type>>>?