The earliest memory I have of ‘programming’ is in the early/mid 90s when my father brought home a computer from work. We could play games on it … so of course I took the spreadsheet program he used (LOTUS 123, did I date myself with that?) and tried to modify it to print out a helpful message for him. It … halfway worked? At least I could undo it so he could get back to work…

After that, I picked up programming for real in QBASIC (I still have a few of those programs lying around), got my own (junky) Linux desktop from my cousin, tried to learn VBasic (without a Windows machine), and eventually made it to high school… In college, I studied computer science and mathematics, mostly programming in Java/.NET, although with a bit of everything in the mix. A few of my oldest programming posts on this blog are from that time.

After that, on to grad school! Originally, I was going to study computational linguistics, but that fell through. Then programming languages (the school’s specialty). And finally I ended up studying censorship and computer security… before taking a hard turn into the private sector to follow my PhD advisor.

Since then, I’ve worked in the computer security space at a couple of different companies. Some don’t exist any more, some you’ve probably heard of. I still program for fun too, and not just in security.

But really, I still have a habit of doing a little bit of everything. Whatever seems interesting at the time!

Advent of Code 2022

Let’s do this thing!

I’m going to try Rust this time, since it’s 1) awesome 2) fast and 3) crazy. :D

Let’s see how it goes!

If you’d like to see the full form of any particular solution, you can do so on GitHub (including previous years and possibly some I haven’t written up yet): jpverkamp/advent-of-code

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Stateful Solvers and Iterators

Rust, yet again! Let’s take what we did last time with Solving Sudoku (again) and improve the code structure a bit more.

Goals:

  • Create a ‘Solver’ struct that can maintain state (such as how many states we’ve visited, how much time we’ve spent)
  • Track the above stats
  • Turn the ‘Solver’ into an iterator which will iterate through given solutions (a single call will give the first solution or you can run through the iterator to get all of them)

If you’d like to follow along, I’ve started uploading the code here: https://github.com/jpverkamp/rust-solvers

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Lunar Arithmetic in Rust

I’ve been playing with various languages / language design a lot recently (inspired by my Runelang series). As I tweak and change what I’d like to implement in a language… I kept finding myself coming back to more or less exactly how Rust looks (albeit without the borrowing). So… that seems like a pretty good reason to start picking up some Rust. In another thread of thought, I stumbled upon two OEIS (on-line encyclopedia of integer sequences) sequences: A087061: Array T(n,k) = lunar sum n+k (n >= 0, k >= 0) read by antidiagonals and A087062: Array T(n,k) = lunar product n*k (n >= 1, k >= 1) read by antidiagonals.

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Runelang: A Summoning Circle Generator

Last time we had Runelang: A Bind Rune Generator. This time, let’s make ‘summoning circles’. Basically, we want to make a circle with stars and other circles inscribed and around the borders with various ‘mystic’ text in the mix. Something like this:

  • generate_summoning_circle
    • random chance of boder
    • random chance of one or more inscribed stars
    • random chance of recurring on the border (calling generate_summoning_circle again)
    • random chance of recurring in the middle

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Runelang: A Bind Rune Generator

Continuing with my Runelang in the Browser series, I had the idea to automatically generate runes. So basically reversing the parsing step, rather than to take what I’ve written and make it look good, to write something that Runelang can parse–and still look good.

In a nutshell, I want to write a series of functions that can recursively call one another to render runes:

  • generate_bind_rune
    • n times generate_bind_rune_arm
      • m times generate bars, circles, and other decrations
      • add a fork at the end

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Runelang: Evaluation

As they say, life is what happens when you’re making other plans. But I’m back, so let’s talk some more about Runelang. In the interest of not dragging on months without finishing, we’re going to go ahead and push through the rest of the project. Onward!

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Runelang: The Parser (Part 2: Expressions)

Earlier this week, we started parsing, getting through groups, nodes, params, and lists. A pretty good start, but it also leaves out two very powerful things (expressions and defines), one of which we absolutely do need to start actually evaluating things: expressions. Since we use them in every param, we pretty much need to know how to parse them, so let’s do it!

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Runelang: The Parser (Part 1)

I’m still here! And less sick now.

Last time(s), we described and lexed) Runelang! This time around, let’s take the lexed tokens and go one step further and parse them!

So, how do we go about this? With a recursive descent parser!

  • Start with a list/stream of tokens
  • Using the first k (in a LL(k) parser) elements of the list, identify which sort of object we are parsing (a group / identifier / literal / expression / etc)
  • Call a parsing function for that object type (parseGroup etc) that will:
    • Recursively parse the given object type (this may in turn call more parse functions)
    • Advance the token stream ‘consuming’ any tokens used in this group so the new ‘first’ element is the next object

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