Background: the authors are developing a static analysis library (or perhaps framework) called Codex and publishing papers on it. This post summarizes their most recent paper, which got accepted to OOPSLA 2024. The full paper and an artifact (Docker container) are both linked, and Codex is on GitHub with a demo.

Excerpt:

One of the main challenges when analyzing C programs is the representation of the memory. The paper proposes a type system, inspired by that of C, as the basis for this abstraction. While initial versions of this type system have been proposed in VMCAI'22 and used in RTAS'21, this paper extends it significantly with new features like support for union, parameterized, and existential types. The paper shows how to combine all these features to encode many complex low-level idioms, such as flexible array members or discriminated unions using a memory tag or bit-stealing. This makes it possible to apply Codex to challenging case studies, such as the unmodified Olden benchmark, or parts of OS kernels or the Emacs Lisp runtime.

The language itself: https://crystal-lang.org/. Crystal is heavily inspired by Ruby but with static typing and native compilation (via LLVM). To make up for not being dynamic like Ruby, it has powerful global type inference, meaning you're almost never required to explicitly specify types. The linked "Notes on..." page gives much more details.

Abstract:

A computer program describes not only the basic computations to be performed on input data, but also in which order and under which conditions to perform these computations. To express this sequencing of computations, programming language provide mechanisms called control structures. Since the "goto" jumps of early programming languages, many control structures have been deployed: conditionals, loops, procedures and functions, exceptions, iterators, coroutines, continuations… After an overview of these classic control structures and their historical context, the course develops a more modern approach of control viewed as an object that programs can manipulate, enabling programmers to define their own control structures. Started in the last century by early work on continuations and the associated control operators, this approach was recently renewed through the theory of algebraic effects and its applications to user-defined effects and effect handlers in languages such as OCaml 5.

Background: What are denotational semantics, and what are they useful for?

Also: Operational and Denotational Semantics

Denotational semantics assign meaning to a program (e.g. in untyped lambda calculus) by mapping the program into a self-contained domain model in some meta language (e.g. Scott domains). Traditionally, what is complicated about denotational semantics is not so much the function that defines them; rather it is to find a sound mathematical definition of the semantic domain, and a general methodology of doing so that scales to recursive types and hence general recursion, global mutable state, exceptions and concurrency^1^^2^.

In this post, I discuss a related issue: I argue that traditional Scott/Strachey denotational semantics are partial (in a precise sense), which means that

1. It is impossible to give a faithful, executable encoding of such a semantics in a programming language, and
2. Internal details of the semantic domain inhibit high-level, equational reasonining about programs

After exemplifying the problem, I will discuss total denotational semantics as a viable alternative, and how to define one using guarded recursion.

I do not claim that any of these considerations are novel or indisputable, but I hope that they are helpful to some people who

• know how to read Haskell
• like playing around with operational semantics and definitional interpreters
• wonder how denotational semantics can be executed in a programming language
• want to get excited about guarded recursion.

I hope that this topic becomes more accessible to people with this background due to a focus on computation.

I also hope that this post finds its way to a few semanticists who might provide a useful angle or have answers to the conjectures in the later parts of this post.

If you are in a rush and just want to see how a total denotational semantics can be defined in Agda, have a look at this gist.

I’ve started putting the (long) forum posts I make about ArkScript on my blog, so that more people can follow the development. I must say I like the look of it, that’s also helping me getting back into blogging!

This presents a method to reduce the overhead of the garbage collector, in a language with multi-stage programming (specifically two-level type theory) using regions.

cross-posted from: https://programming.dev/post/18859576

This past few weeks, Python 3.13 and the possibility to disable the GIL has seen a lot of coverage and that pushed me to dig into my own language, to see how different our approaches are.

So if you’re curious about the rambling of a pldev, that might be for you!

Key Features

• Multiple types (number, bool, datetime, string and error)
• Memory managed by user (no allocs)
• Iterator based interface
• Supporting variables
• Stateless
• Expressions can be compiled (RPN stack)
• Fully compile-time checked syntax
• Documented grammar
• Standard C11 code
• No dependencies

Examples

# Numerical calculations
sin((-1 + 2) * PI)

# Dates
datetrunc(now(), "day")

# Strings
"hi " + upper("bob")  + trim("  !  ")

# Conditionals
ifelse(1 < 5 && length($alphabet) > 25, "case1", "case2")

# Find the missing letter
replace($alphabet, substr($alphabet, 25 - random(0, length($alphabet)), 1), "")

From homepage:

Hy (or "Hylang" for long) is a multi-paradigm general-purpose programming language in the Lisp family. It's implemented as a kind of alternative syntax for Python. Compared to Python, Hy offers a variety of new features, generalizations, and syntactic simplifications, as would be expected of a Lisp. Compared to other Lisps, Hy provides direct access to Python's built-ins and third-party Python libraries, while allowing you to freely mix imperative, functional, and object-oriented styles of programming. (More on "Why Hy?")

Some examples on the homepage:

Hy:

(defmacro do-while [test #* body]
  `(do
    ~@body
    (while ~test
      ~@body)))

(setv x 0)
(do-while x
  (print "Printed once."))

Python:

x = 0
print("Printed once.")
while x:
    print("Printed once.")

Interestingly programming.dev's Markdown renderer highlights ```hy code blocks. Maybe it knows the language (highlight.js has it). Maybe it's using Hybris (another language that could get its own post, one of its extensions is *.hy).

GitHub

Online REPL

1.0 announcement

GitHub (source code for all languages), also linked above.

• Assembly
• BASIC
• Forth/MOUSE
• Lisp
• APL/K
• PL/0

The GitHub says "50 lines of code" but the largest example is 74 lines excluding whitespace and comments.

Dune is a shell designed for powerful scripting. Think of it as an unholy combination of bash and Lisp.

You can do all the normal shell operations like piping, file redirection, and running programs. But, you also have access to a standard library and functional programming abstractions for various programming and sysadmin tasks!

Fennel is a programming language that brings together the simplicity, speed, and reach of Lua with the flexibility of a lisp syntax and macro system.

• Full Lua compatibility: Easily call any Lua function or library from Fennel and vice-versa.
• Zero overhead: Compiled code should be just as efficient as hand-written Lua.
• Compile-time macros: Ship compiled code with no runtime dependency on Fennel.
• Embeddable: Fennel is a one-file library as well as an executable. Embed it in other programs to support runtime extensibility and interactive development.

Anywhere you can run Lua code, you can run Fennel code.

Example:

;; Sample: read the state of the keyboard and move the player accordingly
(local dirs {:up [0 -1] :down [0 1] :left [-1 0] :right [1 0]})

(each [key [dx dy] (pairs dirs)]
  (when (love.keyboard.isDown key)
    (let [[px py] player
          x (+ px (* dx player.speed dt))
          y (+ py (* dy player.speed dt))]
      (world:move player x y))))

Abstract:

We say that an imperative data structure is snapshottable or supports snapshots if we can efficiently capture its current state, and restore a previously captured state to become the current state again. This is useful, for example, to implement backtracking search processes that update the data structure during search.

Inspired by a data structure proposed in 1978 by Baker, we present a snapshottable store, a bag of mutable references that supports snapshots. Instead of capturing and restoring an array, we can capture an arbitrary set of references (of any type) and restore all of them at once. This snapshottable store can be used as a building block to support snapshots for arbitrary data structures, by simply replacing all mutable references in the data structure by our store references. We present use-cases of a snapshottable store when implementing type-checkers and automated theorem provers.

Our implementation is designed to provide a very low overhead over normal references, in the common case where the capture/restore operations are infrequent. Read and write in store references are essentially as fast as in plain references in most situations, thanks to a key optimisation we call record elision. In comparison, the common approach of replacing references by integer indices into a persistent map incurs a logarithmic overhead on reads and writes, and sophisticated algorithms typically impose much larger constant factors.

The implementation, which is inspired by Baker's and the OCaml implementation of persistent arrays by Conchon and Filliâtre, is both fairly short and very hard to understand: it relies on shared mutable state in subtle ways. We provide a mechanized proof of correctness of its core using the Iris framework for the Coq proof assistant.

Back from break, I'm going to start posting regularly again.

This is an interesting node-based visual programming environment with very cool graphics. It's written on Clojure but the various "cards" (nodes) can include SQL, R, DALL-E API calls, or anything else.

GitHub

Haxe-based language for defining 2D shmups bullet-hell patterns.

The VM also runs in Haxe.

Soundly handling linearity requires special care in the presence of effect handlers, as the programmer may inadvertently compromise the integrity of a linear resource. For instance, duplicating a continuation that closes over a resource can lead to the internal state of the resource being corrupted or discarding the continuation can lead to resource leakage. Thus a naïve combination of linear resources and effect handlers yields an unsound system.

...

In the remainder of this blog post we describe a novel approach to rule out such soundness bugs by tracking control-flow linearity, a means to statically assure how often a continuation may be invoked which mediates between linear resources and effectful operations in order to ensure that effect handlers cannot violate linearity constraints on resources. We focus on our implementation in Links. The full technical details are available in our open access POPL'24 distinguished paper Soundly Handling Linearity.

Programming models like the Actor model and the Tuplespace model make great strides toward simplifying programs that communicate. However, a few key difficulties remain.

The Syndicated Actor model addresses these difficulties. It is closely related to both Actors and Tuplespaces, but builds on a different underlying primitive: eventually-consistent replication of state among actors. Its design also draws on widely deployed but informal ideas like publish/subscribe messaging.

For reference, actors and tuple-spaces are means to implement concurrent programs. Actors are essentially tiny programs/processes that send (push) messages to each other, while a tuple-space is a shared repository of data ("tuples") that can be accessed (pulled) by different processes (e.g. actors).

...

A handful of Domain-Specific Language (DSL) constructs, together dubbed Syndicate, expose the primitives of the Syndicated Actor model, the features of dataspaces, and the concepts of conversational concurrency to the programmer in an ergonomic way.

...

To give some of the flavour of working with Syndicate DSL constructs, here's a program written in JavaScript extended with Syndicate constructs:

function chat(initialNickname, sharedDataspace, stdin) {
  spawn 'chat-client' {
    field nickName = initialNickname;

    at sharedDataspace assert Present(this.nickname);
    during sharedDataspace asserted Present($who) {
      on start console.log(`${who} arrived`);
      on stop  console.log(`${who} left`);
      on sharedDataspace message Says(who, $what) {
        console.log(`${who}: ${what}`);
      }
    }

    on stdin message Line($text) {
      if (text.startsWith('/nick ')) {
        this.nickname = text.slice(6);
      } else {
        send sharedDataspace message Says(this.nickname, text);
      }
    }
  }
}

Documentation

Comparison with other programming models

History

Author's thesis

Even though it's very unlikely to become popular (and if so, it will probably take a while), there's a lot you learn from creating a programming language that applies to other areas of software development. Plus, it's fun!

The blog post is the author's impressions of Gleam after it released version 1.4.0. Gleam is an upcoming language that is getting a lot of highly-ranked articles.

It runs on the Erlang virtual machine (BEAM), making it great for distributed programs and a competitor to Elixir and Erlang (the language). It also compiles to JavaScript, making it a competitor to TypeScript.

But unlike Elixir, Erlang, and TypeScript, it's strongly typed (not just gradually typed). It has "functional" concepts like algebraic data types, immutable values, and first-class functions. The syntax is modeled after Rust and its tutorial is modeled after Go's. Lastly, it has a very large community.

Zyme is an esoteric language for genetic programming: creating computer programs by means of natural selection.

For successful evolution mutations must generate a wide range of phenotypic variation, a feat nearly impossible when randomly modifying the code of conventional programming languages. Zyme is designed to maximize the likelihood of a bytecode mutation creating a novel yet non-fatal change in program behavior.

Diverging from conventional register or stack-based architectures, Zyme uses a unique molecular automaton-based virtual machine, mimicking an abstract cellular metabolism. This design enables fuzzy control flow and precludes invalid runtime states, transforming potential crashes into opportunities for adaptation.

Very unique, even for an esoteric language. Imagine a program that gets put through natural selection and "evolves" like a species: the program is cloned many times, each clone is slightly mutated, the clones that don't perform as well on some metric are discarded, and the process is repeated; until eventually you have programs that do great on the metric, that you didn't write.

Key excerpt:

At OOPSLA 2020, Prof. Dietrich Geisler published a paper about geometry bugs and a type system that can catch them. The idea hasn't exactly taken over the world, and I wish it would. The paper's core insight is that, to do a good job with this kind of type system, you need your types to encode three pieces of information:

• the reference frame (like model, world, or view space)
• the coordinate scheme (like Cartesian, homogeneous, or polar coordinates)
• the geometric object (like positions and directions)

In Dietrich's language, these types are spelled scheme<frame>.object. Dietrich implemented these types in a language called Gator with help from Irene Yoon, Aditi Kabra, Horace He, and Yinnon Sanders. With a few helper functions, you can get Gator to help you catch all the geometric pitfalls we saw in this post.

Abstract:

File formats specify how data is encoded for persistent storage. They cannot be formalized as context-free grammars since their specifications include context-sensitive patterns such as the random access pattern and the type-length-value pattern. We propose a new grammar mechanism called Interval Parsing Grammars IPGs) for file format specifications. An IPG attaches to every nonterminal/terminal an interval, which specifies the range of input the nonterminal/terminal consumes. By connecting intervals and attributes, the context-sensitive patterns in file formats can be well handled. In this paper, we formalize IPGs' syntax as well as its semantics, and its semantics naturally leads to a parser generator that generates a recursive-descent parser from an IPG. In general, IPGs are declarative, modular, and enable termination checking. We have used IPGs to specify a number of file formats including ZIP, ELF, GIF, PE, and part of PDF; we have also evaluated the performance of the generated parsers.

I created Bril, the Big Red Intermediate Language, to support the class's implementation projects. Bril isn't very interesting from a compiler engineering perspective, but I think it's pretty good for the specific use case of teaching compilers classes. Here's a factorial program:

@main(input: int) {
  res: int = call @fact input;
  print res;
}

@fact(n: int): int {
  one: int = const 1;
  cond: bool = le n one;
  br cond .then .else;
.then:
  ret one;
.else:
  decr: int = sub n one;
  rec: int = call @fact decr;
  prod: int = mul n rec;
  ret prod;
}

Bril is the only compiler IL I know of that is specifically designed for education. Focusing on teaching means that Bril prioritizes these goals:

• It is fast to get started working with the IL.
• It is easy to mix and match components that work with the IL, including things that fellow students write.
• The semantics are simple, without too many distractions.
• The syntax is ruthlessly regular.

Bril is different from other ILs because it prioritizes those goals above other, more typical ones: code size, compiler speed, and performance of the generated code.

Aside from that inversion of priorities, Bril looks a lot like any other modern compiler IL. It's an instruction-based, assembly-like, typed, ANF language. There's a quote from why the lucky stiff where he introduces Camping, the original web microframework, as "a little white blood cell in the vein of Rails." If LLVM is an entire circulatory system, Bril is a single blood cell.

Reference

GitHub

GitHub

Glisp is a Lisp-based design tool that combines generative approaches with traditional design methods, empowering artists to discover new forms of expression.

Glisp literally uses a customized dialect of Lisp as a project file. As the Code as Data concept of Lisp, the project file itself is the program to generate an output at the same time as a tree structure representing SVG-like list of shapes. And even the large part of the app's built-in features are implemented by the identical syntax to project files. By this nature so-called homoiconicity, artists can dramatically hack the app and transform it into any tool which can be specialized in various realms of graphics -- daily graphic design, illustration, generative art, drawing flow-chart, or whatever they want. I call such a design concept "purpose-agnostic". Compared to the most of existing design tools that are strictly optimized for a concrete genre of graphics such as printing or UI of smartphone apps, I believe the attitude that developers intentionally keep being agnostic on how a tool should be used by designers makes it further powerful.