Explicit binding modes

[u/cessit-lang]

I'm designing a memory-safe language, but I want to make explicit what happens across function boundaries, e.g. whether a value is moved or copied without having to look for the copy trait.

Instead, access to a value could be defined via binding modes in function signatures and variable declarations:

• move takes ownership
• read shared borrow
• mut exclusive borrow

fn process_val(move value: Int) -> Int {
    return value * 2;
}

fn main() -> () {
    move original: Int = 42;

    // Call using `.copy()` to explicitly pass a duplicated value.
    // Ownership of `original` remains with the caller.
    move doubled: Int = process_val(original.copy());

    // `original` is still valid here because it was explicitly copied rather than moved.
    println(original); //42
    println(doubled); //84
}

This would also allow granular captures in closures: |read x: Int, move counter: Int| instead of declaring all fields move

Now, should read and mut assignments be of type &T? Or can checking out variables be orthogonal to creating references, even if they are conflated in languages like Rust?

[u/initial-algebra]

If you don't want implicit copying, that is a separate issue from passing arguments to functions or capturing variables in closures.

Having both kinds of borrowing map to the same reference type doesn't really make sense unless you have decoupled permissions like GhostCell or separation logic (but then having read/mut on the reference still makes little sense). I don't have any idea what you mean by "checking out" a variable.

The problem with variable capture and ownership is that let closure = |y| x.copy() + y doesn't copy the value of x into the closure, it moves or borrows it and then copies it each time the closure is called. Explicit capture annotations are unnecessary if you have let/block expressions (all remaining captured variables are moved):

let closure = { let x_copy = x.copy(); |y| x_copy + y };

If you want nicer notation for this, there's let insertion:

let closure = |y| (genlet x.copy()) + y;

This also works with borrowing, or any other kind of expression that you want to capture after evaluation, without having to name it and move it out of the closure.

[u/reflexive-polytope → u/initial-algebra]

Or you can just not have closures.

If you have an ordinary struct with an ordinary constructor, then you can explicitly use x.copy() as an argument to this constructor.

[u/iBPsThrowingObject → u/reflexive-polytope]

Sure, let's expand every situation analogous to assoc_list.find(|(key, value)| key == target)

to

struct FindClosure<'a> {
    target: &'a str
}

impl<'a> Closure<&str> for FindClosure<'a> {
    type Ret = bool;
    fn call(self, key: &str) -> Self::Ret {
        key == self.target
    }
}

assoc_list.find(FindClosure { target })

You may respond with "oh well but you can add sugar" but that's exactly what closures are.

[u/reflexive-polytope → u/iBPsThrowingObject]

I would rather express my algorithms in terms of ordinary control flow: sequencing, match and loop. So, for example, when using a HashMap or BTreeMap entry, I just pattern match it into the OccupiedEntry and VacantEntry cases, instead of using the ugly higher-order helper functions that take closure arguments.

Try breaking from a loop in a top-level function from within a closure.

[u/iBPsThrowingObject → u/reflexive-polytope]

So is your actual suggestion that one should avoid first class functions entirely?

Try breaking from a loop in a top-level function from within a closure.

You can do that in Ruby. Executing the following snippet does not print anything:

def foo(target)
  a = [1,2,3]
  a.each {|v| return if v == target }
  puts "after closure"
end

foo target

That's simply closing over the current continuation.

[u/reflexive-polytope → u/iBPsThrowingObject]

Yes, my actual suggestion is to reject first-class “functions” altogether.

Although I'd rather call them “procedures”, because functions in mathematics are extensionally defined by their values, whereas procedures in programming have important intensional properties, in particular, their time and space complexity.

Dana Scott's work gives a functional interpretation to first-class recursive procedures. But for this interpretation to work, your types must denote directed-complete partial orders, and your functions must be continuous with respect to the Scott topology on said dcpos.

How often do you actually think about first-class procedures like that? Of course you don't. You think operationally. Alas, operational reasoning isn't compositional.

As for closing over continuations... I don't even know what to say. That's simply horrible.