Beyond Printf(): Better Logging Practices For Faster Debugging

All of us who do some programming know that logging is a time-tested way to output messages about the internal state of our code. With varying degrees of adjustable granularity, these messages allow us to keep track of not only the state of the application, but also its overall health. When things do end up going FUBAR, these log messages are usually the first thing we look at as a software equivalent of a Flight Data Recorder in an airplane.

Spending some time and care in not only designing the logging system, but also in deciding what should be logged and at what level, can make our future self appreciate life a lot more. We’re all familiar with the practice of ‘printf-debugging’, where logging is added as part of the usual post-crash autopsy as one tries to figure out what exactly went wrong. It’s one way of doing it, and eventually it works, but we can do much better.

People are lazy, and you’re only going to stick to good logging practices if they are at least as easy if not easier than sprinkling printf() statement throughout the code. Yet at the same time we want to be able to handle things like log levels and newlines without too much extra typing. The most successful logging libraries are built with this

Continue reading “Beyond Printf(): Better Logging Practices For Faster Debugging”

The rust language logo being branded onto a microcontroller housing

Will 2020 Be The Year Of Rust In The Linux Kernel?

One problem with modern programming languages is the reach their overly enthusiastic early adopters have nowadays thanks to the internet. As a result, everyone else’s first encounter with them are oftentimes some crude, fanboyish endeavors to rewrite every single established software project in that shiny new language — just because — which may leave an off-putting taste behind. However, Rust certainly seems to have outgrown this state by now, and with its rising popularity within the general developer population, it’s safe to say it will stick around. Will it fully replace C one day? Probably not, but there’s a big chance for coexistence, and [Nick Desaulniers] got the ball rolling for that within the Linux kernel.

Now, before you storm off pledging your allegiance to C by finding a new operating system: nothing is happening yet. [Nick] simply tested the waters for a possible future of Rust within the Linux kernel code base, which is something he’s planning to bring up for discussion in this year’s Linux Plumbers Conference — the annual kernel developer gathering. The interesting part is [Linus Torvalds]’s respone on the LKML thread, which leaves everyone hoping for a hearty signature Rust rant akin to his C++ one disappointed. Instead, his main concern is that a soft and optional introduction of the support in the build system would leave possible bugs hidden, and therefore should be automatically enabled if a Rust compiler is present — essentially implying that he seems otherwise on board.

We’ll see what comes of it, but with Rust language team lead [Josh Triplett] stating that enhancements benefiting and advancing a kernel integration are certainly imaginable for Rust itself, we might see interesting collaborations coming up in the near future. If you don’t want to wait for that and use Rust already today in a user-land driver, check out this 35c3 talk. And if that doesn’t go far enough for you, here’s a whole (non-Linux) kernel written in Rust.

EasyOCR Makes OCR, Well, Easy

Working on embedded systems used to be easier. You had a microcontroller and maybe a few pieces of analog or digital I/O, and perhaps communications might be a serial port. Today, you have systems with networks and cameras and a host of I/O. Cameras are strange because sometimes you just want an image and sometimes you want to understand the image in some way. If understanding the image involves reading text in the picture, you will want to check out EasyOCR.

The Python library leverages other open source libraries and supports 42 different languages. As the name implies, using it is pretty easy. Here’s the setup:


import easyocr
reader = easyocr.Reader(['th','en'])
reader.readtext('test.jpg')

The results include four points that define the bounding box of each piece of text, the text, and a confidence level. The code takes advantage of the GPU, but you can run it in a CPU-only mode if you prefer. There are a few other options, including setting the algorithm’s scanning behavior, how it handles multiple processors, and how it converts the image to grayscale. The results look impressive.

According to the project’s repository, they incorporated several existing neural network algorithms and conventional algorithms, so if you want to dig into details, there are links provided to both code and white papers. If you need some inspiration for what to do with OCR, maybe this past project will give you some ideas. Or you could cheat at games.

PHONK – A Hacker’s Fun Shortcut To Android Programming

As the common myth goes, the average human utilizes only about 10% of the true potential their smartphone is capable of. Especially when it comes to electronics projects, it seems that we often overlook how we can integrate and take advantage of their functionality here. Maybe that’s not a big surprise though — while it isn’t rocket science, getting into mobile development certainly has its hurdles and requires a bit of commitment. [Victor Diaz] figured there had to be a better way, so he went on and created PHONK, the self-contained creative scripting toolbox for Android.

PHONK is installed like any other app, and allows rapid prototyping on your Android device via JavaScript by abstracting away and simplifying the heavily boilerplated, native Java parts. So instead of setting up an app from scratch with all the resources defining, UI design, activity and application lifecycle management — not to mention the Android development environment itself — PHONK takes care of all that behind the curtain and significantly reduces the amount of code required to achieve the task you’re actually interested in. In case you’re worrying now that you have to actually program on your phone, well, you can, which can definitely come in handy, but you don’t have to.

Once the app is opened, a web server is started, and connecting to it from any modern browser within the same WiFi network presents you the PHONK development environment with everything you need: editor, file browser, console, and API documentation. You can write your code in the browser, and pressing the run button will execute it straight on the device then. As everything is self-contained within the app itself, no additional software is required, and you can start right away by exploring the set of provided examples that showcase everything supported so far: sensor interaction, BLE server and client, communication protocols like MQTT or WebSockets, OpenStreetMap maps, and even integration with Pure Data and Processing. Attach a USB OTG cable and you can program your Arduino, have serial communication, or interface a IOIO board. You can even connect a MIDI controller.

This is really impressive work done by [Victor], and a lot of attention to detail went into the development. If you have an old Android phone collecting dust somewhere, this would be a great opportunity to revive it and build something with it. And as [Victor] writes on the project’s GitHub page, he’s always curious what people will come up with. If you’re thinking about building a mobile sensor lab, or want to learn more about the sensors inside your phone, have a look at the 36C3 talk about phyphox.

Does PHP Have A Future, Or Are Twenty Five Years Enough?

In June, 1995, Rasmus Lerdorf made an announcement on a Usenet group. You can still read it.

Today, twenty five years on, PHP is about as ubiquitous as it could possibly have become. I’d be willing to bet that for the majority of readers of this article, their first forays into web programming involved PHP.

Announcing the Personal Home Page Tools (PHP Tools) version 1.0.

These tools are a set of small tight cgi binaries written in C.

But no matter what rich history and wide userbase PHP holds, that’s no justification for its use in a landscape that is rapidly evolving. Whilst PHP will inevitably be around for years to come in existing applications, does it have a future in new sites?

Continue reading “Does PHP Have A Future, Or Are Twenty Five Years Enough?”

What’s The Deal With Snap Packages?

Who would have thought that software packaging software would cause such a hubbub? But such is the case with snap. Developed by Canonical as a faster and easier way to get the latest versions of software installed on Ubuntu systems, the software has ended up starting a fiery debate in the larger Linux community. For the more casual user, snap is just a way to get the software they want as quickly as possible. But for users concerned with the ideology of free and open source software, it’s seen a dangerous step towards the types of proprietary “walled gardens” that may have drove them to Linux in the first place.

Perhaps the most vocal opponent of snap, and certainly the one that’s got the most media attention, is Linux Mint. In a June 1st post on the distribution’s official blog, Mint founder Clement Lefebvre made it very clear that the Ubuntu spin-off does not approve of the new package format and wouldn’t include it on base installs. Further, he announced that Mint 20 would actively block users from installing the snap framework through the package manager. It can still be installed manually, but this move is seen as a way to prevent it from being added to the system without the user’s explicit consent.

The short version of Clement’s complaint is that the snap packager installs from a proprietary Canonical-specific source. If you want to distribute snaps, you have to set up an account with Canonical and host it there. While the underlying software is still open source, the snap packager breaks with long tradition of having the distribution of the software also being open and free. This undoubtedly makes the install simple for naive users, and easier to maintain for Canonical maintainers, but it also takes away freedom of choice and diversity of package sources.

Continue reading “What’s The Deal With Snap Packages?”

New Silq Programming Language Aims To Make Quantum Programming Easier

Fresh from ETH Zurich comes the new Silq programming language. They also have submitted a paper to the PLDI 2020 conference on why they feel that it is the best quantum programming language so far. Although it may be not common knowledge, the lack of usable general purpose quantum computers has not kept multiple teams from developing programming languages for such computer systems.

Microsoft’s Q# is a strong contender in this space, along with the older QCL language. The claims by the Silq team on exactly why their language is better appear to come down to it being ‘more high level’, and by supporting automatic (and safe) uncomputation. While the ‘high level’ aspect is suspect since Q# is most decidedly a high-level programming language, their uncomputation claim does at least have some merit.

Quantum algorithm with uncompute step.

Uncomputation is a concept in quantum programming, where one occasionally has to remove a few intermediate objects from the current state because they may cause quantum interference that would affect the resulting output. Normally, one would save the intermediate result to a register for this, then reset the state and continue. Which parts of the state to keep and what to uncompute is however not easily determined, as a quick glance at related answers over at the Quantum Computing StackExchange and Theoretical Computer Science might reveal.

The main question thus appears the validity of this claim about Silq being able to automatically determine what ‘garbage’ can be safely uncomputed, and what should be part of the quantum interference. We have all seen with languages like Java and C# how even with traditional computing something as simple as garbage collecting can go horribly wrong. Maybe we shouldn’t count our quantum chickens yet until this particular waveform has fully collapsed.

(Thanks to Qes)