As previously discussed on this blog, my programming language, Hackett, is a fusion of two languages, Haskell and Racket. What happens when two distinctly different programming languages collide? Hackett recently faced that very problem when it came to the question of namespacing: Haskell has two namespaces, one for values and another for types, but Racket is a staunch Lisp–1 with a single namespace for all bindings. Which convention should Hackett adopt?
For now, at least, the answer is that Hackett will emulate Haskell: Hackett now has two namespaces. Of course, Hackett is embedded in Racket, so what did it take to add an entirely new namespace to a language that possesses only one? The answer was a little more than I had hoped, but it was still remarkably simple given the problem: after two weeks of hacking, I’ve managed to get something working.
Three months ago, I wrote a blog post describing my new, prototype implementation of my programming language, Hackett. At the time, some things looked promising—the language already included algebraic datatypes, typeclasses, laziness, and even a mini, proof of concept web server. It was, however, clearly still rather rough around the edges—error messages were poor, features were sometimes brittle, the REPL experience was less than ideal, and there was no documentation to speak of. In the time since, while the language is still experimental, I have tackled a handful of those issues, and I am excited to announce the first (albeit quite incomplete) approach to Hackett’s documentation.
I’d recommend clicking that link above and at least skimming around before reading the rest of this blog post, as its remainder will describe some of the pieces that didn’t end up in the documentation: the development process, the project’s status, a small demo, and some other details from behind the scenes.
Lisps are not known for infix operators, quite the opposite; infix operators generally involve more syntax and parsing than Lispers are keen to support. However, in Hackett, all functions are curried, and variable-arity functions do not exist. Infix operators are almost necessary for that to be palatable, and though there are other reasons to want them, it may not be obvious how to support them without making the reader considerably more complex.
Fortunately, if we require users to syntactically specify where they wish to use infix expressions, support for infix operators is not only possible, but can support be done without modifying the stock
#lang racket reader. Futhermore, the resulting technique makes it possible for fixity information to be specified locally in a way that cooperates nicely with the Racket macro system, allowing the parsing of infix expressions to be manipulated at compile-time by users’ macros.
Nearly eight months ago, I wrote a blog post about unit testing effectful Haskell code using a library called test-fixture. That library has served us well, but it wasn’t as easy to use as I would have liked, and it worked better with certain patterns than others. Since then, I’ve learned more about Haskell and more about testing, and I’m pleased to announce that I am releasing an entirely new testing library, monad-mock.
Almost five months ago, I wrote a blog post about my new programming language, Hackett, a fanciful sketch of a programming language from a far-off land with Haskell’s type system and Racket’s macros. At that point in time, I had a little prototype that barely worked, that I barely understood, and was a little bit of a technical dead-end. People saw the post, they got excited, but development sort of stopped.
Then, almost two months ago, I took a second stab at the problem in earnest. I read a lot, I asked a lot of people for help, and eventually I got something sort of working. Suddenly, Hackett is not only real, it’s working, and you can try it out yourself!
Perhaps the most important abstraction a Haskell programmer must understand to effectively write modern Haskell code, beyond the level of the monad, is the monad transformer, a way to compose monads together in a limited fashion. One frustrating downside to monad transformers is a proliferation of
lifts, which explicitly indicate which monad in a transformer “stack” a particular computation should run in. Fortunately, the venerable mtl provides typeclasses that make this lifting mostly automatic, using typeclass machinery to insert
lift where appropriate.
Less fortunately, the mtl approach does not actually eliminate
lift entirely, it simply moves it from use sites to instances. This requires a small zoo of extraordinarily boilerplate-y instances, most of which simply implement each typeclass method using
lift. While we cannot eliminate the instances entirely without somewhat dangerous techniques like overlapping instances, we can automatically derive them using features of modern GHC, eliminating the truly unnecessary boilerplate.
Since I published my blog post introducing Rascal, I’ve gotten some amazing feedback, more than I had ever anticipated! One of the things that was pointed out, though, is that Rascal is a language that already exists. Given that the name “Rascal” came from a mixture of “Racket” and “Haskell”, I always had an alternative named planned, and that’s “Hackett”. So, to avoid confusion as much as possible, Rascal is now known as Hackett.
With that out of the way, I also want to answer some of the other questions I received, both to hopefully clear up some confusion and to have something I can point to if I get the same questions in the future.
Note: since the writing of this blog post, Rascal has been renamed to Hackett. You can read about why in the followup blog post.
“Hey! You got your Haskell in my Racket!”
“No, you got your Racket in my Haskell!”
Welcome to the Rascal programming language.
Object-oriented programming languages make unit testing easy by providing obvious boundaries between units of code in the form of classes and interfaces. These boundaries make it easy to stub out parts of a system to test functionality in isolation, which makes it possible to write fast, deterministic test suites that are robust in the face of change. When writing Haskell, it can be unclear how to accomplish the same goals: even inside pure code, it can become difficult to test a particular code path without also testing all its collaborators.
Fortunately, by taking advantage of Haskell’s expressive type system, it’s possible to not only achieve parity with object-oriented testing techniques, but also to provide stronger static guarantees as well. Furthermore, it’s all possible without resorting to extra-linguistic hacks that static object-oriented languages sometimes use for mocking, such as dynamic bytecode generation.
Currently, npm is the package manager for the frontend world. Sure, there are alternatives, but for the time being, npm seems to have won. Even tools like Bower are being pushed to the wayside in favor of the One True Package Manager, but what’s most interesting to me is npm’s relatively novel approach to dependency management. Unfortunately, in my experience, it is actually not particularly well understood, so consider this an attempt to clarify how exactly it works and how it affects you as a user or package developer.