learning to frame complaints as "i personally didn't enjoy X" instead of "X is absolute shitgarbage objectively and everyone around me needs to deal with my emotions about it" is actually a really important social skill that's a lot less common than it really should be
(well, a few days ago, at least!)
i played on a console last time with someone who pretty much speedran the game to a five star island before i could even really start to appreciate new horizons' vibes, and this time i'm hoping to just kinda slow down and do that..!
also, have i ever mentioned it's both super-neat to be able to do this, and also a pretty nifty way to casually absorb how accessible different things really are?
because it is, in fact, both of those things
advent of code day 4
https://gist.github.com/Archenoth/4256a377c186b702e046f57130ae8ee9#-day-4-giant-squid-
loop continues to put in some work
i deffed both inputs in a let form since def isn't lexixal
also, reading in the data was the same number of lines of code that actually solving the problem took
this day is the first time i've broken out the extremely neat threading macros to make things more readable (the ->> and as-> calls)
part 2 was a cakewalk since i already had all the tools written for part 1
the most interesting part in this one was using destructuring results as a predicate for checking if any sheets remained, and returning the last one if they didn't
i'm probably not going to continue putting in the actual code into posts like this, but for the first three it seemed okay enough~
re: advent of code, day 3
https://gist.github.com/Archenoth/4256a377c186b702e046f57130ae8ee9#-day-3-binary-diagnostic-
day 3 part 1 was easy peasy, i could just use the clojure frequencies function on each column, and sort them by that to make my destructuring consistent!
(loop [[more? & rem] (first input)
col 0
gamma ""
epsilon ""]
(if-not more?
(* (Integer/parseInt gamma 2) (Integer/parseInt epsilon 2))
(let [[[e] [g]] (sort-by second (frequencies (map #(nth % col) input)))]
(recur rem (+ 1 col) (str gamma g) (str epsilon e)))))
in part 2 was harder to understand what to do, and i had to break the column generalization into a separate function that i didn't know what to call (so i just called it "magic", hee)
the idea here is that the function will extract the most and least common bit, and their counts, then based on the default, do the right thing for the oxygen and carbon values
i could do both at the same time since the function should never reduce the values below one row
(defn magic [col values default]
(let [colvals (map #(nth % col) values)
[[lc lcc] [mc mcc]] (sort-by second (frequencies colvals))
look-for (if (= lcc mcc) default (if (= default 1) mc lc))]
(filter #(= look-for (nth % col)) values)))
(loop [col 0
omatches input
cmatches input]
(if (and (= 1 (count omatches)) (= 1 (count cmatches)))
(let [oxygen (apply str (first omatches))
coscrub (apply str (first cmatches))]
(* (Integer/parseInt oxygen 2) (Integer/parseInt coscrub 2)))
(recur (+ 1 col) (magic col omatches 1) (magic col cmatches 0))))
oh hi! i do computers, and sometimes draw stuff~ i like lo-fi things and cute aesthetics!
i also probably like you
(also, tagged #abdl ahead, soooo 🔞)