A toy programming language, specifically for solving Advent of Code puzzles.
Work in progress
The kringle compiler is both written in JavaScript, and compiles kringle programs to JavaScript. As such, a recent (version 8+) version of Node.js is required. To run the compiler, first install it and its dependencies:
npm:
$ npm install jimf/kringle
Then, to compile and run a kringle program:
$ kringlec my-program.kk
$ ./my-program.js
For a full listing of commandline options, run kringlec with the --help
flag.
kringle is...
- Dynamic: After going back and forth for some time as to whether to go the static or dyanmic route, I settled on dynamic. My preference generally is for static, but with having a design goal of short programs, and the programs themselves generally being throw-away code, I decided the importance of the compiler catching errors wasn't high, and instead I'd focus efforts on having the runtime fail fast.
- Compiled: Kringle programs compile to (modern) JavaScript. As such, they can be run anywhere where a modern JavaScript engine is available.
- Mostly imperative: After having done Advent of Code for the last few years, my experience has been that I tend to think about many of the problems in an imperative way. As such, I've decided to embrace this and design the language such that imperative solutions come naturally.
- Also somewhat functional: Coming off the last point, kringle also borrows
many ideas from functional programming languages. For example, all kringle
functions are curried by default,
and the standard library defines all functions data-last. Paired with the
application and composition operators (
|>,>>and<<), functions can be defined, passed around, and applied in useful and interesting ways. - Whitespace sensitive: Kringle borrows ideas from many programming languages. However, stylistically, it looks most like Python or Nim. Blocks are defined by indentation.
- Expressive: Most AoC problems should be solvable in 20 lines of kringle code or fewer (sans input/output). More code than this should be an outlier.
- Readable: I don't like the word "readable" in a programming context, because often that is just a standin for familiar to me. That said, I'm using it anyway! Kringle overloads a number of operators, and borrows a handful of operators from varying languages, but the intent is that most kringle code can be understood without requiring a deep understanding of the language.
- Rich standard library: Going hand-in-hand with the previous design goals, kringle offers many built-in functions for performing common tasks. Some of these functions have fairly abbreviated names, but again, in context, it should be clear what they do.
- First class parsing: Almost every AoC problem involves parsing data out of a given input string. As such, kringle should offer a wide array of tools for pulling data out of strings to be worked with.
# Compute average line length
# Assume input has some number of lines of data
input = '...'
total = 0
count = 0
for line in lines(input):
total += len(line)
count += 1
print('Average line length (A): {}' % (total / count))
See the examples/ directory for many more example programs. To read more about the language, see docs/language.md.
While thinking about what programming language I might use to solve this year's (2018) Advent of Code puzzles, I thought to myself: What if there were a programming language specifically made for Advent of Code? What might such a language look like? This idea floated in my head for some time, until I finally decided I needed to get it into actual code.
MIT