Putting A Pi In A Container

August 30, 2024 by Bryan Cockfield 13 Comments

Docker and other containerization applications have changed a lot about the way that developers create new software as well as how they maintain virtual machines. Not only does containerization reduce the system resources needed for something that might otherwise be done in a virtual machine, but it standardizes the development environment for software and dramatically reduces the complexity of deploying on different computers. There are some other tricks up the sleeves as well, and this project called PI-CI uses Docker to containerize an entire Raspberry Pi.

The Pi container emulates an entire Raspberry Pi from the ground up, allowing anyone that wants to deploy software on one to test it out without needing to do so on actual hardware. All of the configuration can be done from inside the container. When all the setup is completed and the desired software installed in the container, the container can be converted to an .img file that can be put on a microSD card and installed on real hardware, with support for the Pi models 3, 4, and 5. There’s also support for using Ansible, a Docker automation system that makes administering a cluster or array of computers easier.

Docker can be an incredibly powerful tool for developing and deploying software, and tools like this can make the process as straightforward as possible. It does have a bit of a learning curve, though, since sharing operating system tools instead of virtualizing hardware can take a bit of time to wrap one’s mind around. If you’re new to the game take a look at this guide to setting up your first Docker container.

A Modern Take On An Old Language

August 16, 2024 by Al Williams 44 Comments

Some old computer languages are destined to never die. They do, however, evolve. For example, Fortran, among the oldest of computer languages, still has adherents, not to mention a ton of legacy code to maintain. But it doesn’t force you to pretend you are using punched cards anymore. In the 1970s, if you wanted to crunch numbers, Fortran was a good choice. But there was another very peculiar language: APL. Turns out, APL is alive and well and has a thriving community that still uses it.

APL has a lot going for it if you are crunching serious numbers. The main data type is a multidimensional array. In fact, you could argue that a lot of “modern” ideas like a REPL, list types, and even functional programming entered the mainstream through APL. But it did have one strange thing that made it difficult to use and learn.

[Kenneth E. Iverson] was at Harvard in 1957 and started working out a mathematical notation for dealing with arrays. By 1960, he’d moved to IBM and a few years later wrote a book entitled “A Programming Language.” That’s where the name comes from — it is actually an acronym for the book’s title. Being a mathematician, [Iverson] used symbols instead of words. For example, to create an array with the numbers 1 to 5 in it and then print it, you’d write:

⎕←⍳5

Since modern APL has a REPL (read-eval-print loop), you could remove the box and the arrow today.

What Key Was That?

Wait. Where are all those keys on your keyboard? Ah, you’ve discovered the one strange thing. In 1963, CRTs were not very common. While punched cards were king, IBM also had a number of Selectric terminals. These were essentially computer-controlled typewriters that had type balls instead of bars that were easy to replace.

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Robust Speech-to-Text, Running Locally On Quest VR Headset

August 16, 2024 by Donald Papp 3 Comments

[saurabhchalke] recently released whisper.unity, a Unity package that implements whisper locally on the Meta Quest 3 VR headset, bringing nearly real-time transcription of natural speech to the device in an easy-to-use way.

Whisper is a robust and free open source neural network capable of quickly recognizing and transcribing multilingual natural speech with nearly-human level accuracy, and this package implements it entirely on-device, meaning it runs locally and doesn’t interact with any remote service.

It used to be that voice input for projects was a tricky business with iffy results and a strong reliance on speaker training and wake-words, but that’s no longer the case. Reliable and nearly real-time speech recognition is something that’s easily within the average hacker’s reach nowadays.

We covered Whisper getting a plain C/C++ implementation which opened the door to running on a variety of platforms and devices. [Macoron] turned whisper.cpp into a Unity binding which served as inspiration for this project, in which [saurabhchalke] turned it into a Quest 3 package. So if you are doing any VR projects in Unity and want reliable speech input with a side order of easy translation, it’s never been simpler.

Programming Ada: Implementing The Lock-Free Ring Buffer

August 1, 2024 by Maya Posch 20 Comments

In the previous article we looked at designing a lock-free ring buffer (LFRB) in Ada, contrasting and comparing it with the C++-based version which it is based on, and highlighting the Ada way of doing things. In this article we’ll cover implementing the LFRB, including the data request task that the LFRB will be using to fill the buffer with. Accompanying the LFRB is a test driver, which will allow us to not only demonstrate the usage of the LFRB, but also to verify the correctness of the code.

This test driver is uncomplicated: in the main task it sets up the LFRB with a 20 byte buffer, after which it begins to read 8 byte sections. This will trigger the LFRB to begin requesting data from the data request task, with this data request task setting an end-of-file (EoF) state after writing 100 bytes. The main task will keep reading 8-byte chunks until the LFRB is empty. It will also compare the read byte values with the expected value, being the value range of 0 to 99.

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FLOSS Weekly Episode 794: Release Them All With JReleaser

July 31, 2024 by Jonathan Bennett No comments

This week Jonathan Bennett and Katherine Druckman chat with Andres Almiray about JReleaser, the Java release automation tool that’s for more than just Java, and more than just releases. What was the original inspiration for the tool? And how does JReleaser help avoid a string of commits trying to fix GitHub Actions? Listen to find out!

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Programming Ada: Designing A Lock-Free Ring Buffer

July 30, 2024 by Maya Posch 7 Comments

Ring buffers are incredibly useful data structures that allow for data to be written and read continuously without having to worry about where the data is being written to or read from. Although they present a continuous (ring) buffer via their API, internally a definitely finite buffer is being maintained. This makes it crucial that at no point in time the reading and writing events can interfere with each other, something which can be guaranteed in a number of ways. Obviously the easiest solution here is to use a mutual exclusion mechanism like a mutex, but this comes with a severe performance penalty.

A lock-free ring buffer (LFRB) accomplishes the same result without something like a mutex (lock), instead using a hardware feature like atomics. In this article we will be looking at how to design an LFRB in Ada, while comparing and contrasting it with the C++-based LFRB that it was ported from. Although similar in some respects, the Ada version involves Ada-specific features such as access types and the rendezvous mechanism with task types (‘threads’).

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Pnut: A Self-Compiling C Transpiler Targeting Human-Readable POSIX Shell

July 25, 2024 by Maya Posch 16 Comments

Shell scripting is one of those skills that are absolutely invaluable on especially UNIX and BSD-based systems like the BSDs, the two zillion Linux distributions as well as MacOS. Yet not every shell is the same, and not everybody can be bothered to learn the differences between the sh, bash, ksh, zsh, dash, fish and other shells, which can make a project like Pnut seem rather tempting. Rather than dealing with shell scripting directly, the user writes their code in the Lingua Franca of computing, AKA C, which is then transpiled into a shell script that should run in any POSIX-compliant shell.

The transpiler can be used both online via the main Pnut website, as well as locally using the (BSD 2-clause) open source code on GitHub. Here the main limitations are also listed, which mostly concern the C constructs that do not map nicely to a POSIX shell. These are: no support for floating point numbers and unsigned integers, no goto and switch nor taking the address of a variable with &. These and preprocessor-related limitations and issues are largely to be expected, as especially POSIX shells are hardly direct replacements for full-blown C code.

As a self-professed research project, Pnut seems like an interesting project, although if you are writing shell scripts for anything important, you probably just want to buckle down and learn the ins and outs of POSIX shell scripting and beyond. Although it’s a bit of a learning curve, we’d be remiss if we said that it’s not totally worth it, if only because it makes overall shell usage even beyond scripting so much better.