rtype | A strong type system for R | Serialization library

Perhaps this will help:

As you know using &theValue resolves to the type *interface{}. The type *interface{} is distinct from the type *Student which is what you are passing in to traversalTag from tryMapWithType.

If you want to pass *Student to traversalTag from tryMapWithReflect you need to create that pointer value using reflection. Plain native Go address operator & just isn't enough.

When you have a reflect.Value that is addressable all you need to do is to call the .Addr() method to get a pointer to the addressable value, however map elements are not addressable and therefore reflectMap.MapIndex(key) is not addressable. So, unfortunately for you, it's not possible to do reflectMap.MapIndex(key).Addr().Interface() to get *Student.

So your only option is to use reflection to create a new value of the *Student type, set the pointed-to value to the value in the map, and then return the .Interface() of that.

You should avoid persistent state whenever possible. And you should particularly avoid global persistent state. If your recursive function uses a global container, you will only be able to call it once; after that, the global container is contaminated with data from the first call.

Note that using a container as a default argument is effectively the same as using a global variable, with one additional fatal flaw: unlike real global variables, which could in theory be reset, there is no convenient way to reset a default argument specification. When you write:

The reason you're getting a memory limit exceeded is the arguments to the dfs function. Your 'path' variable is a string that can be as large as the height of the tree (which can be the size of the whole tree if it's unbalanced).

Normally that wouldn't be a problem, but path + "L" creates a new string for every recursive call of the function. Besides being very slow, this means that your memory usage is O(n^2), where n is the number of nodes in the tree.

For example, if your final path is "L" * 1000, your call stack for dfs will look like this:

Thanks to @mzjin's answer in the comments: this link describes that it is possible since v0.4.

The below example is given in the link, which is exactly what I was looking for.

Since you're already using Docker, I'd suggest using a multi-stage build. Using a standard docker image like golang one can build an executable asset which is guaranteed to work with other docker linux images:

Your are defining _extract_article_published_date and get_article_data_elements as coroutines, and this coroutines must be await-ed in your code to get the result of their execution in an asynchronous way.

You can do this creating an instance of type NewsExtraction and calling this methods with the keyword await in front, this await pass the execution to other task in the loop until his awaited task completes its execution. Note that there are no threads or process involved in this task execution, the execution is passed only if it is no using cpu-time (await-ing I/O operations or sleeping).

It is not because of the let punning but because of the type-driven record field names disambiguation. It is not principal and there is even a warning that tells you that your code depends on its presence. In the first case, the typechecker infers the type of the function from the application. In the second case, it doesn't have the type of information to infer that somefield comes from the module R¹.

In OCaml, the field names are defined in the namespace of the module, so it is better to specify the module name explicitly, e.g.,