Free monads from scratch
siraben.dev
siraben.dev
Yes so why doesn’t some GHC extension do this?
The issue I have with this and Functors and Monads and Monad transformers is that there is a lot of boilerplate. I wish i could apply f x y instead of lift $ f <$> x <*> pure y. It would be awesome if there was a ghc extension which, whenever it encounters something like ‘(a -> b -> c) applied to (f a and f b, expected to return g (f c))’ it automatically adds the appropriate ‘fmap’, ‘bind’, ‘pure’, ‘lift’, ‘inj’, ‘Impure’ etc. Then combined with do-notation, you can write truly imperative-looking code, without having to manually convert ‘a’ and ‘State a’ and ‘Reader a’ and ‘Exception a’ into ‘(State :+: Reader :+: Exception) a’.
IMO free monads are an implementation detail for how to enable typed effects and subtypes in a pure language. They’re still kind of important for users to understand, but they would be easier to explain if you let users write imperative-looking code first and then convert it into free monads. That would fix the question most people have when learning about category theory, “why?” - most people don’t know what to make with category theory abstractions because they don’t know what they’re for.
In "Applicative Programming with Effects"[0], the authors use such a notation, and even leave it as an exercise to implement it in Haskell using MultiParamTypeClasses:
> Given Haskell extended with multi-parameter type classes, enthusiasts for overloading may replace ‘⟦’ and ‘⟧’ by identifiers i[ and ]i with the right behaviour.
So they have code that looks like
eval :: Exp v -> Env v -> Int
eval (Var x) = fetch x
eval (Val i) = ⟦ i ⟧
eval (Add p q) = ⟦ (+) (eval p) (eval q) ⟧
> Yes so why doesn’t some GHC extension do this?It's possible to derive the functor instance automatically if the data type is built from products, sums and arrows. However even for Applicatives you can't do this in general because there can be many lawful Applicative instances for the same type, for instance[1] for lists.
[0] http://strictlypositive.org/IdiomLite.pdf
[1] https://hackage.haskell.org/package/base-4.16.1.0/docs/Contr...
The next release of GHC is able to derive Applicative for product types: `deriving Applicative via Generically1 F`.
If you have a sum type you can derive Applicative as well, but as you mention there are often multiple options so this requires user assistance: `deriving Applicative via Idiomatically F '[LeftBias Id]`.
Here is the library that allows that: https://hackage.haskell.org/package/idiomatic
Applicative style is so trivial that it's hard to say it's worth it to automate it at the cost of ambiguities.
Feel free to write a GHC proposal to solve this trivial deficiency - anyone! I dare you! I'd like to see this complaint's rubber hit the road.
They are a more general construction in category theory but knowing that doesn't tell you how to use them (because the full generality is not often needed).
If you've internalized reasoning about a program's execution symbolically and in a time-independent way, then monads solve the problem of how you enforce a correct sequencing of otherwise time-independent operations at a library level without any fancy modifications to the type system. And oh by the way, this structure shows up everywhere and isn't that pretty cool. People who hang around in the formal PL world tend to assume this already because it emerges naturally from how we talk about the semantics of languages via symbolic manipulation.
But if you haven't grasped that yet, then monads solve a problem that you probably don't even realize exists and no amount of rephrasing the monad laws will help you.
I'd almost always recommend anyone new to Haskell ignore monads as much as possible. Fiddle around with evaluating toy functions with pen and paper symbolically to reason about the semantics, and then try to imagine how you could represent the state of a program changing across the page by creating a new object representing the state of the program from the old state. Then, dig in to the RealWorld type and how the IO Monad actually works (not at a type level).
Contrast that with what happens in Haskell and friends. When writing code you define what the _inputs and outputs_ for particular functions should be. The actual code generating those inputs and outputs is free to be replaced or removed as the compiler sees fit. That buys you a lot of things (trivial parallelization, excellent type checking, ...), but it self inflicts an extra problem we didn't have in the previous paradigm:
In the real world, we don't in fact just want to run a program and get an output. The way we interact with, e.g., a GUI is an important part of the program's behavior. If your mental model of code is that we're sequentially doing a series of things then this isn't ever a problem you would even have because you would just write your code to do the right things at the right time, but if you've adopted a model where you're defining outputs for your inputs you need some way to shove state and order of effects into that system for it to be useful.
Enter stage-left: monads! Yes they're pretty and ubiquitous and whatever, but the problem they solve for us is specifying an order of events (by virtue of taking the entire monad in as an input and spitting it out as an output) in a way wholly compatible with the type system we've already developed.