Skip to main content

Utilizing Python's Assert Statements for Compile-Time Checks

Some recent discussions around the 'net have been tossing around the ideas about static typing in python, briding static and dynamic typing in C++-like languages, and similar concepts of making static-typing more dynamic or dynamic languages more optimized in static-typing ways. Particularly, I was sparked by Michael Feather's "Set of Tests" article. There are different ways we might look into bringing those concepts to Python, and I rolled a few of them around in my head. My final mental landing was "Can we utilize the assert statement to inform the compiler about these tests that are absolute?". Of course, you probably can see how this is a lot like what assert does now, with the only difference being between run-time and compile-time being the target of the rules. This leads us to looking for where an assert could be compile-time verified and then used to optimize code. The most basic compile-time assert I can think of us "assert builtin is builtin", which would be a contract that the name 'builtin' will continue to be bound to the default builtin object, and won't be changed. This means we can do "assert isinstance is isinstance" and the compiler can make assumptions it could not before: that when it sees the name isinstance, it knows exactly what it is before runtime. This opens up other expressions that use these known names and promise other things to the compiler. We could do things like "assert isinstance(l, sequence)" or "assert len(l)==3", which would create a pair of contracts that l was some kind of 3 element sequence, and the compiler could make it a tuple for optimization.

Comments

Popular posts from this blog

CARDIAC: The Cardboard Computer

I am just so excited about this. CARDIAC. The Cardboard Computer. How cool is that? This piece of history is amazing and better than that: it is extremely accessible. This fantastic design was built in 1969 by David Hagelbarger at Bell Labs to explain what computers were to those who would otherwise have no exposure to them. Miraculously, the CARDIAC (CARDboard Interactive Aid to Computation) was able to actually function as a slow and rudimentary computer.  One of the most fascinating aspects of this gem is that at the time of its publication the scope it was able to demonstrate was actually useful in explaining what a computer was. Could you imagine trying to explain computers today with anything close to the CARDIAC? It had 100 memory locations and only ten instructions. The memory held signed 3-digit numbers (-999 through 999) and instructions could be encoded such that the first digit was the instruction and the second two digits were the address of memory to operat...

Announcing Feet, a Python Runner

I've been working on a problem that's bugged me for about as long as I've used Python and I want to announce my stab at a solution, finally! I've been working on the problem of "How do i get this little thing I made to my friend so they can try it out?" Python is great. Python is especially a great language to get started in, when you don't know a lot about software development, and probably don't even know a lot about computers in general. Yes, Python has a lot of options for tackling some of these distribution problems for games and apps. Py2EXE was an early option, PyInstaller is very popular now, and PyOxide is an interesting recent entry. These can be great options, but they didn't fit the kind of use case and experience that made sense to me. I'd never really been about to put my finger on it, until earlier this year: Python needs LÖVE . LÖVE, also known as "Love 2D", is a game engine that makes it super easy to build ...

Using a React Context as a Dispatch Replacement

React Contexts are the pretty little bows of the React world. Here's a really quick example of the kind of messy code you can cleanup by using contexts, without dragging in a larger dependency like Redux or even Flux. Starting backwards with a diff showing lines of code I was able to remove: All the properties I was able to remove were just pass-through. The Carousel component didn't care about any of them, but it had to pass through these callbacks so the multiple TaskList components inside the carousel could invoke actions. They were removed from the Component class itself, too, since it no longer needed to pass them through. Where did they all go? My ActionContext removed all the need for these passthroughs by providing a single simple helper method, action(), that components rendered under it can access.   I really enjoy the pattern of passing a single callback through a context and removing what used to be lots of callback properties. Of course, I cou...