mapf | A MAPF framework in C # with implementations for MA-CBS | Authorization library

Plugin.Lookup() returns a plugin.Symbol which is simply an empty interface{} value:

The map data needs to be serialized when written to the file, and deserialized when read back from the file. One way to do that is:

There is no class template argument deduction pre-c++17, so you have to specify the template arguments.

Not very beautiful, but this works:

Interesting question!

I don't know of any such implementation in the standard library or even scalaz/cats. It's not very surprising because if your list is not very large you can just perform map-reduces sequentially and I'm not even sure that overhead of constructing lots of intermediate objects would be smaller than overhead of traversing the list several times.

And if the list is potentially doesn't fit into memory you should be using one of the streaming libraries (fs2/zio-streams/akka-streams)

Although if your input was Iterator instead of List, such functionality would be useful.

There is an interesting article about this problem: https://softwaremill.com/beautiful-folds-in-scala/

tldr: Map-reduce workflow could be formalized as follows:

You can retrieve a list of the source components of your mapping by using getSources from IMapComponentOwner (which is implemented by Mapping). These source components should be of type DatastoreComponent which has a method to set the JournalizedFiler.

That would be something like this (couldn't test it yet) :

This turned out to be a bug and was solved.

This line is frankly horrible, appending a list to another list inside a for loop definition like that is a recipe for disaster.

for item in obstacles.append(peers) or []:

It would be better to use:

There are guaranteed to be better ways to do this (still learning) but you can:

You are creating new DatastoreComponents instead of using the existing ones from the mapping. You can find the existing ones by invoking findComponent method on your mapping.

Try replacing