I’m glad you enjoyed it. I appreciate the kind words.
Feel free to do so!

I’d say fsnotify is the least interesting part

Spectacle OCR is fantastic news. That is really going to simplify one of my current workflows.

It’s Lemmy.

deleted by creator

I have used and enjoyed lawnchair for the past year. It’s quite minimal and I’ve found it very stable.

Personally, I think it’s great. It’s a smaller community than HN and the registration requirements, whilst not a perfect solution, do create a litmus test and ultimately creates an envrionment of mostly high quality posting.

To get in, you need to be invited in by an existing user. If you don’t know anybody, you can hang around on their IRC channel and once you’re familiar, somebody may be willing to invite you.

This should have been posted in programming.dev/c/meta. I’m leaving it up here as the question has been answered.

Thanks - appreciate the feedback!

I’m a bit less extreme about it than many here. But, in short, back when Reddit made sweeping API changes it immediately gave me ‘the ick’ and so I sought less centralised platforms. Lemmy is the closest thing I’ve found to people just hosting their own message boards like back in the early internet.

I’m a big fan of decentralized platforms and I love the concept of ActivityPub.

That said, I still use Reddit and have recently started to really enjoy BlueSky, so I’m not militantly against the corporate platforms or anything.

Finally, I just like the natural selection things like Lemmy and Mastodon have for those who are naturally more techy and nerdy.

Gleam

Late as usual. This one challenged me. Functional programming is a lot of fun, but it’s kicking my ass.

import gleam/dict
import gleam/io
import gleam/list
import gleam/option.{None, Some}
import gleam/result
import gleam/set.{type Set}
import gleam/string
import simplifile

pub type Point =
  #(Int, Int)

pub type Grid(a) =
  dict.Dict(Point, a)

pub type Direction {
  North
  East
  South
  West
}

pub type Loops {
  DoesLoop
  DoesNotLoop
}

pub type Guard {
  Guard(position: Point, direction: Direction)
}

fn get_guard(grid: Grid(String)) -> Guard {
  let pos = dict.filter(grid, fn(_pos, char) { char == "^" })
  let assert Ok(pos) = case dict.size(pos) {
    1 -> list.first(dict.keys(pos))
    0 -> panic as "No guard found in input!"
    _ -> panic as "More than one guard found in input!"
  }
  Guard(pos, North)
}

fn move_guard(guard: Guard) -> Guard {
  let new_pos = case guard.direction {
    North -> #(-1, 0)
    East -> #(0, 1)
    South -> #(1, 0)
    West -> #(0, -1)
  }
  Guard(
    #(guard.position.0 + new_pos.0, guard.position.1 + new_pos.1),
    guard.direction,
  )
}

fn turn_guard(guard: Guard) -> Guard {
  let new_dir = case guard.direction {
    North -> East
    East -> South
    South -> West
    West -> North
  }
  Guard(guard.position, new_dir)
}

fn get_obstacles(grid: Grid(String)) -> List(Point) {
  dict.filter(grid, fn(_pos, char) { char == "#" })
  |> dict.keys()
}

fn recurse_grid(
  grid: Grid(String),
  guard: Guard,
  obstacles: List(#(Int, Int)),
  visited: Set(#(#(Int, Int), Direction)),
) -> #(Set(#(#(Int, Int), Direction)), Loops) {
  let new_guard = move_guard(guard)
  let position = new_guard.position
  let dir = new_guard.direction
  case dict.has_key(grid, position) {
    False -> #(visited, DoesNotLoop)
    True -> {
      case set.contains(visited, #(position, dir)) {
        True -> {
          #(visited, DoesLoop)
        }
        False -> {
          case list.contains(obstacles, position) {
            True -> recurse_grid(grid, turn_guard(guard), obstacles, visited)
            False ->
              recurse_grid(
                grid,
                new_guard,
                obstacles,
                set.insert(visited, #(position, dir)),
              )
          }
        }
      }
    }
  }
}

fn get_grid_input(filename: String) -> Grid(String) {
  let lines =
    filename
    |> simplifile.read()
    |> result.unwrap("")
    |> string.trim()
    |> string.split("\n")
  use grid, row, row_idx <- list.index_fold(lines, dict.new())
  use grid, col, col_idx <- list.index_fold(string.to_graphemes(row), grid)
  dict.insert(grid, #(row_idx, col_idx), col)
}

fn part_one(
  grid: Grid(String),
) -> #(#(Set(#(#(Int, Int), Direction)), Loops), Int) {
  let guard = get_guard(grid)
  let obstacles = get_obstacles(grid)
  let visited = set.new() |> set.insert(#(guard.position, guard.direction))
  let visited = recurse_grid(grid, guard, obstacles, visited)
  let visited_without_dir =
    set.fold(visited.0, set.new(), fn(acc, x) { set.insert(acc, x.0) })
  #(visited, visited_without_dir |> set.size())
}

fn check_loop(grid: Grid(String), blocker: Point) -> Loops {
  let blocked_grid =
    dict.upsert(grid, blocker, fn(x) {
      case x {
        Some("^") -> "^"
        Some(_) -> "#"
        None -> "#"
      }
    })
  let visited = part_one(blocked_grid).0
  visited.1
}

fn part_two(grid: Grid(String), visited: Set(#(#(Int, Int), Direction))) {
  let visited =
    set.fold(visited, set.new(), fn(acc, x) { set.insert(acc, x.0) })
  use counter, position <- set.fold(visited, 0)
  case check_loop(grid, position) {
    DoesLoop -> counter + 1
    DoesNotLoop -> counter
  }
}

pub fn main() {
  let input = "input.in"
  let p1 = input |> get_grid_input() |> part_one
  let visited = p1.0.0
  io.debug(p1.1)
  input |> get_grid_input |> part_two(visited) |> io.debug()
}

Gleam

Struggled with the second part as I am still very new to this very cool language, but got there after scrolling for some inspiration.

import gleam/int
import gleam/io
import gleam/list
import gleam/regex
import gleam/result
import gleam/string
import simplifile

pub fn main() {
  let assert Ok(data) = simplifile.read("input.in")
  part_one(data) |> io.debug
  part_two(data) |> io.debug
}

fn part_one(data) {
  let assert Ok(multiplication_pattern) =
    regex.from_string("mul\\(\\d{1,3},\\d{1,3}\\)")
  let assert Ok(digit_pattern) = regex.from_string("\\d{1,3},\\d{1,3}")
  let multiplications =
    regex.scan(multiplication_pattern, data)
    |> list.flat_map(fn(reg) {
      regex.scan(digit_pattern, reg.content)
      |> list.map(fn(digits) {
        digits.content
        |> string.split(",")
        |> list.map(fn(x) { x |> int.parse |> result.unwrap(0) })
        |> list.reduce(fn(a, b) { a * b })
        |> result.unwrap(0)
      })
    })
    |> list.reduce(fn(a, b) { a + b })
    |> result.unwrap(0)
}

fn part_two(data) {
  let data = "do()" <> string.replace(data, "\n", "") <> "don't()"
  let assert Ok(pattern) = regex.from_string("do\\(\\).*?don't\\(\\)")
  regex.scan(pattern, data)
  |> list.map(fn(input) { input.content |> part_one })
  |> list.reduce(fn(a, b) { a + b })
}

Elixir

defmodule Day02 do
  defp part1(reports) do
    reports
    |> Enum.map(fn report ->
      levels =
        report
        |> String.split()
        |> Enum.map(&String.to_integer/1)

      cond do
        sequence_is_safe?(levels) ->
          :safe

        true ->
          :unsafe
      end
    end)
    |> Enum.count(fn x -> x == :safe end)
  end

  defp part2(reports) do
    reports
    |> Enum.map(fn report ->
      levels =
        report
        |> String.split()
        |> Enum.map(&String.to_integer/1)

      sequences =
        0..(length(levels) - 1)
        |> Enum.map(fn i ->
          List.delete_at(levels, i)
        end)

      cond do
        sequence_is_safe?(levels) ->
          :safe

        Enum.any?(sequences, &sequence_is_safe?/1) ->
          :safe

        true ->
          :unsafe
      end
    end)
    |> Enum.count(fn x -> x == :safe end)
  end

  defp all_gaps_within_max_diff?(numbers) do
    numbers
    |> Enum.chunk_every(2, 1, :discard)
    |> Enum.all?(fn [a, b] -> abs(b - a) <= 3 end)
  end

  defp is_strictly_increasing?(numbers) do
    numbers
    |> Enum.chunk_every(2, 1, :discard)
    |> Enum.all?(fn [a, b] -> a < b end)
  end

  defp is_strictly_decreasing?(numbers) do
    numbers
    |> Enum.chunk_every(2, 1, :discard)
    |> Enum.all?(fn [a, b] -> a > b end)
  end

  defp sequence_is_safe?(numbers) do
    (is_strictly_increasing?(numbers) or
       is_strictly_decreasing?(numbers)) and all_gaps_within_max_diff?(numbers)
  end

  def run(data) do
    reports = data |> String.split("\n", trim: true)
    p1 = part1(reports)
    p2 = part2(reports)
    IO.puts(p1)
    IO.puts(p2)
  end
end

data = File.read!("input.in")
Day02.run(data)

I’m late to the party, as usual. Damned timezones. This year I’m going to tackle with a small handful of languages, but primarily Elixir and Gleam. This is my first time trying this languages in earnest, so expect some terrible, inefficient and totally unidiomatic code!
Here’s day one:

Elixir

part_one =
  File.read!("input.in")
  |> String.split("\n", trim: true)
  |> Enum.map(fn line ->
    line
    |> String.split()
    |> Enum.map(&String.to_integer/1)
  end)
  |> Enum.reduce({[], []}, fn [first, second], {list1, list2} ->
    {[first | list1], [second | list2]}
  end)
  |> then(fn {list1, list2} ->
    {Enum.sort(list1), Enum.sort(list2)}
  end)
  |> then(fn {list1, list2} ->
    Enum.zip(list1, list2)
    |> Enum.map(fn {x, y} -> abs(x - y) end)
  end)
  |> Enum.sum()

part_two =
  File.read!("input.in")
  |> String.split("\n", trim: true)
  |> Enum.map(fn line ->
    line
    |> String.split()
    |> Enum.map(&String.to_integer/1)
  end)
  |> Enum.reduce({[], []}, fn [first, second], {list1, list2} ->
    {[first | list1], [second | list2]}
  end)
  |> then(fn {list1, list2} ->
    Enum.map(list1, fn line ->
      line * Enum.count(list2, fn x -> x === line end)
    end)
    |> Enum.sum()
  end)

IO.inspect(part_one)
IO.inspect(part_two)

She was 89 and no doubt lead a truly fulfilling life, and so I think objectively it’s not a sad passing - she had a truly remarkable life and long life.

That said, she was a significant part of my childhood, and always on the television in the various households I’ve lived in for one show or another. It feels like losing a beloved grandmother, and I’m devastated. RIP Maggie.

Totally agree. Like most “rules”, it just needs treating with nuance and context.

I can totally see how it could be read like that!

Five-a-side is a specific format of football (soccer), aimed at more casual play with a much lower bar to skill level. Outside of five-a-side leagues (which do exist), it’s rarely played with fixed teams and often ran in a more “pick up group” fashion.

Five-a-side football (soccer). I’m not a sporty person, but started going with a local group a few years ago and have reaped the benefits of doing some intensive team exercise once per week. I go with a bunch of guys way older than I am, and it’s amazing how fit and healthy they are compared to the average person I meet of their age. I certainly plan to keep this up so long an injury doesn’t prevent me.

Nice. I’ve not seen any of your other videos yet, but I can say that for this one, I really loved that you just jumped straight in to the action and kept the video tight, without missing important details.