Day 9: Mirage Maintenance
Megathread guidelines
- Keep top level comments as only solutions, if you want to say something other than a solution put it in a new post. (replies to comments can be whatever)
- Code block support is not fully rolled out yet but likely will be in the middle of the event. Try to share solutions as both code blocks and using something such as https://topaz.github.io/paste/ , pastebin, or github (code blocks to future proof it for when 0.19 comes out and since code blocks currently function in some apps and some instances as well if they are running a 0.19 beta)
FAQ
- What is this?: Here is a post with a large amount of details: https://programming.dev/post/6637268
- Where do I participate?: https://adventofcode.com/
- Is there a leaderboard for the community?: We have a programming.dev leaderboard with the info on how to join in this post: https://programming.dev/post/6631465
🔒 Thread is locked until there’s at least 100 2 star entries on the global leaderboard
🔓 Unlocked after 5 mins
Nim
Part 1:
The extrapolated value to the right is just the sum of all last values in the diff pyramid.45 + 15 + 6 + 2 + 0 = 68
Part 2:
The extrapolated value to the left is just a right-folded difference (right-associated subtraction) between all first values in the pyramid. e.g.10 - (3 - (0 - (2 - 0))) = 5
So, extending the pyramid is totally unneccessary.
Total runtime: 0.9 ms
Puzzle rating: Easy, but interesting 6.5/10
Full Code: day_09/solution.nim
Snippet:proc solve(lines: seq[string]): AOCSolution[int] = for line in lines: var current = line.splitWhitespace().mapIt(it.parseInt()) var firstValues: seq[int] while not current.allIt(it == 0): firstValues.add current[0] block p1: result.part1 += current[^1] var nextIter = newSeq[int](current.high) for i, v in current[1..^1]: nextIter[i] = v - current[i] current = nextIter block p2: result.part2 += firstValues.foldr(a-b)
(Cursed) Python
I solved the actual thing recursively in Rust, but I decided that wasn’t cursed enough, so I present: Polynomial fitting!
import numpy.polynomial.polynomial as pol with open("input.txt") as f: lines = list(map(lambda l: list(map(int, l.split(" "))), f.read().split("\n"))) lo, hi = 0, 0 for line in lines: for i in range(len(line)): poly, (r, *_) = pol.Polynomial.fit(range(len(line)), line, full=True, deg=i) if r < 0.0000000001: break lo += int(round(poly(-1))) hi += int(round(poly(len(line)))) print(f"Part 1: {hi}") print(f"Part 2: {lo}")
APL
I finally managed to make use of ⍣ :D
input←⊃⎕NGET'inputs/day9.txt'1 p←{⍎('¯'@((⍸'-'∘=)⍵))⍵}¨input f←({⍵⍪⊂2-⍨/⊃¯1↑⍵}⍣{∧/0=⊃¯1↑⍺}) ⎕←+/{+/⊢/¨f⊂⍵}¨p ⍝ part 1 ⎕←+/{-/⊣/¨f⊂⍵}¨p ⍝ part 2
⍣
Nim
Pretty easy one today. Made a
Pyramid
type to hold the values and their layers of diffs, and anextend
function to predict the next value. For part 2 I just had to make anextendLeft
version of it that inserts and subtracts instead of appending and adding.Hi there! Looks like you linked to a Lemmy community using a URL instead of its name, which doesn’t work well for people on different instances. Try fixing it like this: [email protected]
Ruby
[email protected] [LANGUAGE: Ruby]
I found today really easy thankfully. Hardest part was remembering the language features haha
https://github.com/snowe2010/advent-of-code/blob/master/ruby_aoc/2023/day09/day09.rb
edit: code golfing this one was easy too! man this day really worked out huh
def get_subsequent_reading(reading) puts "passed in readings #{reading}" if reading.all?(0) reading << 0 else readings = reading.each_cons(2).map do |a, b| b - a end sub_reading = get_subsequent_reading(readings) reading << (reading[-1] + sub_reading[-1]) puts "current reading #{reading}" reading end end execute(1) do |lines| lines.map do |reading| get_subsequent_reading(reading.split.map(&:to_i)) end.map {|arr| arr[-1]}.sum end def get_preceeding_readings(reading) puts "passed in readings #{reading}" if reading.all?(0) reading.unshift(0) else readings = reading.each_cons(2).map do |a, b| b - a end sub_reading = get_preceeding_readings(readings) reading.unshift(reading[0] - sub_reading[0]) puts "current reading #{readings} #{sub_reading}" reading end end execute(2, test_only: false, test_file_suffix: '') do |lines| lines.map do |reading| get_preceeding_readings(reading.split.map(&:to_i)) end.map {|arr| arr[0]}.sum end
code golf
a=->r{r.unshift(r.all?(0)?0:(r[0]-a[r.each_cons(2).map{_2-_1}][0]))} l.map{a[_1.split.map(&:to_i)]}.map{_1[0]}.sum
Rank 148!! Even beat Leo Uino today!
Optimized: https://codeberg.org/Sekoia/adventofcode/src/branch/main/src/y2023/day9.rs
Less optimized, though not quite my initial version: https://codeberg.org/Sekoia/adventofcode/commit/72dfd77b92518aefd9dbe3e661885528f737f861
how in the world are you getting top 1k with rust? sheesh!
I guess I’ll have to take rustaceans who claim they’re more productive in rust than python seriously now
- Setting up boilerplate beforehand, I only need to fill in the functions (and the return types)
- Really good parsing library (aoc_parse). Today my entire parsing code was
parser!(lines(repeat_sep(i64, " ")))
- Iterators! Actually really ideal for AoC, where pipelines of data are really common. Today both the main part (sum of lines) and inner part (getting a vec of differences) can be done pretty easily through iterators
Today was pretty ideal for my setup. In general I think Rust is really good for later days, because the safety and explicitness make small mistakes rarer (like if you get an element from a HashMap that doesn’t exist, you don’t get a None later down the road (unless you want it, in which case it’s explicit), you get an exception where it happened.
I just really like Rust :3
Rust
Discrete derivatives!
Crystal
recursion is awesome! (sometimes)
input = File.read("input.txt") seqs = input.lines.map &.split.map &.to_i sums = seqs.reduce({0, 0}) do |prev, sequence| di = diff(sequence) {prev[0] + sequence[0] - di[0], prev[1] + di[1] + sequence[-1]} end puts sums def diff(sequence) new = Array.new(sequence.size-1) {|i| sequence[i+1] - sequence[i]} return {0, 0} unless new.any?(&.!= 0) di = diff(new) {new[0] - di[0], di[1] + new[-1]} end
Python
from .solver import Solver class Day09(Solver): def __init__(self): super().__init__(9) self.numbers: list[list[int]] = [] def presolve(self, input: str): lines = input.rstrip().split('\n') self.numbers = [[int(n) for n in line.split(' ')] for line in lines] for line in self.numbers: stack = [line] while not all(x == 0 for x in stack[-1]): diff = [stack[-1][i+1] - stack[-1][i] for i in range(len(stack[-1]) - 1)] stack.append(diff) stack.reverse() stack[0].append(0) stack[0].insert(0, 0) for i in range(1, len(stack)): stack[i].append(stack[i-1][-1] + stack[i][-1]) stack[i].insert(0, stack[i][0] - stack[i-1][0]) def solve_first_star(self) -> int: return sum(line[-1] for line in self.numbers) def solve_second_star(self) -> int: return sum(line[0] for line in self.numbers)
Python
Easy one today
code
import pathlib base_dir = pathlib.Path(__file__).parent filename = base_dir / "day9_input.txt" with open(base_dir / filename) as f: lines = f.read().splitlines() histories = [[int(n) for n in line.split()] for line in lines] answer_p1 = 0 answer_p2 = 0 for history in histories: deltas: list[list[int]] = [] last_line: list[int] = history while any(last_line): deltas.append(last_line) last_line = [last_line[i] - last_line[i - 1] for i in range(1, len(last_line))] first_value = 0 last_value = 0 for delta_list in reversed(deltas): last_value = delta_list[-1] + last_value first_value = delta_list[0] - first_value answer_p1 += last_value answer_p2 += first_value print(f"{answer_p1=}") print(f"{answer_p2=}")
Scala3
def diffs(a: Seq[Long]): List[Long] = a.drop(1).zip(a).map(_ - _).toList def predictNext(a: Seq[Long], combine: (Seq[Long], Long) => Long): Long = if a.forall(_ == 0) then 0 else combine(a, predictNext(diffs(a), combine)) def predictAllNexts(a: List[String], combine: (Seq[Long], Long) => Long): Long = a.map(l => predictNext(l.split(raw"\s+").map(_.toLong), combine)).sum def task1(a: List[String]): Long = predictAllNexts(a, _.last + _) def task2(a: List[String]): Long = predictAllNexts(a, _.head - _)
I even have time to knock out a quick Uiua solution before going out today, using experimental recursion support. Bleeding edge code:
# Experimental! {"0 3 6 9 12 15" "1 3 6 10 15 21" "10 13 16 21 30 45"} StoInt ← /(+×10)▽×⊃(≥0)(≤9).-@0 NextTerm ← ↬( ↘1-↻¯1.. # rot by one and take diffs (|1 ↫|⊢)=1⧻⊝. # if they're all equal grab else recurse +⊙(⊢↙¯1) # add to last value of input ) ≡(⊜StoInt≠@\s.⊔) # parse ⊃(/+≡NextTerm)(/+≡(NextTerm ⇌))
Dart
I was getting a bad feeling when it explained in such detail how to solve part 1 that part 2 was going to be some sort of nightmare of traversing all those generated numbers in some complex fashion, but this has got to be one of the shortest solutions I’ve ever written for an AoC challenge.
int nextTerm(Iterable ns) { var diffs = ns.window(2).map((e) => e.last - e.first); return ns.last + ((diffs.toSet().length == 1) ? diffs.first : nextTerm(diffs.toList())); } List> parse(List lines) => [ for (var l in lines) [for (var n in l.split(' ')) int.parse(n)] ]; part1(List lines) => parse(lines).map(nextTerm).sum; part2(List lines) => parse(lines).map((e) => nextTerm(e.reversed)).sum;
Language: Python
Part 1
Pretty straightforward. Took advantage of
itertools.pairwise
.def predict(history: list[int]) -> int: sequences = [history] while len(set(sequences[-1])) > 1: sequences.append([b - a for a, b in itertools.pairwise(sequences[-1])]) return sum(sequence[-1] for sequence in sequences) def main(stream=sys.stdin) -> None: histories = [list(map(int, line.split())) for line in stream] predictions = [predict(history) for history in histories] print(sum(predictions))
Part 2
Only thing that changed from the first part was that I used
functools.reduce
to take the differences of the first elements of the generated sequences (rather than the sum of the last elements for Part 1).def predict(history: list[int]) -> int: sequences = [history] while len(set(sequences[-1])) > 1: sequences.append([b - a for a, b in itertools.pairwise(sequences[-1])]) return functools.reduce( lambda a, b: b - a, [sequence[0] for sequence in reversed(sequences)] ) def main(stream=sys.stdin) -> None: histories = [list(map(int, line.split())) for line in stream] predictions = [predict(history) for history in histories] print(sum(predictions))
Language: Python