#' Day 04: Giant Squid
#'
#' [Giant Squid](https://adventofcode.com/2021/day/4)
#'
#' @name day04
#' @rdname day04
#' @details
#'
#' **Part One**
#'
#' You\'re already almost 1.5km (almost a mile) below the surface of the
#' ocean, already so deep that you can\'t see any sunlight. What you *can*
#' see, however, is a giant squid that has attached itself to the outside
#' of your submarine.
#'
#' Maybe it wants to play
#' [bingo](https://en.wikipedia.org/wiki/Bingo_(American_version))?
#'
#' Bingo is played on a set of boards each consisting of a 5x5 grid of
#' numbers. Numbers are chosen at random, and the chosen number is *marked*
#' on all boards on which it appears. (Numbers may not appear on all
#' boards.) If all numbers in any row or any column of a board are marked,
#' that board *wins*. (Diagonals don\'t count.)
#'
#' The submarine has a *bingo subsystem* to help passengers (currently, you
#' and the giant squid) pass the time. It automatically generates a random
#' order in which to draw numbers and a random set of boards (your puzzle
#' input). For example:
#'
#' 7,4,9,5,11,17,23,2,0,14,21,24,10,16,13,6,15,25,12,22,18,20,8,19,3,26,1
#'
#' 22 13 17 11 0
#' 8 2 23 4 24
#' 21 9 14 16 7
#' 6 10 3 18 5
#' 1 12 20 15 19
#'
#' 3 15 0 2 22
#' 9 18 13 17 5
#' 19 8 7 25 23
#' 20 11 10 24 4
#' 14 21 16 12 6
#'
#' 14 21 17 24 4
#' 10 16 15 9 19
#' 18 8 23 26 20
#' 22 11 13 6 5
#' 2 0 12 3 7
#'
#' After the first five numbers are drawn (`7`, `4`, `9`, `5`, and `11`),
#' there are no winners, but the boards are marked as follows (shown here
#' adjacent to each other to save space):
#'
#' 22 13 17 11 0 3 15 0 2 22 14 21 17 24 4
#' 8 2 23 4 24 9 18 13 17 5 10 16 15 9 19
#' 21 9 14 16 7 19 8 7 25 23 18 8 23 26 20
#' 6 10 3 18 5 20 11 10 24 4 22 11 13 6 5
#' 1 12 20 15 19 14 21 16 12 6 2 0 12 3 7
#'
#' After the next six numbers are drawn (`17`, `23`, `2`, `0`, `14`, and
#' `21`), there are still no winners:
#'
#' 22 13 17 11 0 3 15 0 2 22 14 21 17 24 4
#' 8 2 23 4 24 9 18 13 17 5 10 16 15 9 19
#' 21 9 14 16 7 19 8 7 25 23 18 8 23 26 20
#' 6 10 3 18 5 20 11 10 24 4 22 11 13 6 5
#' 1 12 20 15 19 14 21 16 12 6 2 0 12 3 7
#'
#' Finally, `24` is drawn:
#'
#' 22 13 17 11 0 3 15 0 2 22 14 21 17 24 4
#' 8 2 23 4 24 9 18 13 17 5 10 16 15 9 19
#' 21 9 14 16 7 19 8 7 25 23 18 8 23 26 20
#' 6 10 3 18 5 20 11 10 24 4 22 11 13 6 5
#' 1 12 20 15 19 14 21 16 12 6 2 0 12 3 7
#'
#' At this point, the third board *wins* because it has at least one
#' complete row or column of marked numbers (in this case, the entire top
#' row is marked: `14 21 17 24 4`).
#'
#' The *score* of the winning board can now be calculated. Start by finding
#' the *sum of all unmarked numbers* on that board; in this case, the sum
#' is `188`. Then, multiply that sum by *the number that was just called*
#' when the board won, `24`, to get the final score, `188 * 24 = 4512`.
#'
#' To guarantee victory against the giant squid, figure out which board
#' will win first. *What will your final score be if you choose that
#' board?*
#'
#' **Part Two**
#'
#' On the other hand, it might be wise to try a different strategy: [let
#' the giant squid
#' win]{title="That's 'cuz a submarine don't pull things' antennas out of their sockets when they lose. Giant squid are known to do that."}.
#'
#' You aren\'t sure how many bingo boards a giant squid could play at once,
#' so rather than waste time counting its arms, the safe thing to do is to
#' *figure out which board will win last* and choose that one. That way, no
#' matter which boards it picks, it will win for sure.
#'
#' In the above example, the second board is the last to win, which happens
#' after `13` is eventually called and its middle column is completely
#' marked. If you were to keep playing until this point, the second board
#' would have a sum of unmarked numbers equal to `148` for a final score of
#' `148 * 13 = 1924`.
#'
#' Figure out which board will win last. *Once it wins, what would its
#' final score be?*
#'
#' @param x some data
#' @return For Part One, `f04a_play_bingo(x)` return the score of the first and
#' last winning boards.
#' @export
#' @examples
#' f04a_play_bingo(readLines(example_data_04()))
#' f04b_play_until_last_bingo(readLines(example_data_04()))
f04a_play_bingo <- function(x) {
# x <- example_data_04() |> readLines()
d <- f04_read_input(x)
board_array <- d$board_array
calls <- d$calls
l <- f04_play_bingo_impl(board_array, calls)
l$score
}
#' @rdname day04
#' @export
f04b_play_until_last_bingo <- function(x) {
d <- f04_read_input(x)
board_array <- d$board_array
calls <- d$calls
call_start <- 1
# play until there is only one board left
while (dim(board_array)[3] != 1) {
l <- f04_play_bingo_impl(board_array, calls, call_start)
board_array <- board_array[, , -l$winner, drop = FALSE]
call_start <- l$last_call
}
l <- f04_play_bingo_impl(board_array, calls, call_start)
l$score
}
f04_play_bingo_impl <- function(board_array, calls, call_start = 1) {
# strategy: use R's array functions
row_sums <- function(a) apply(a, c(1,3), sum)
col_sums <- function(a) apply(a, c(2,3), sum)
`%in_array%` <- function(board_array, calls) {
apply(board_array, 1:3, function(x) x %in% calls)
}
find_winner <- function(board_array, calls) {
x <- board_array %in_array% calls
row_winners <- which(apply(row_sums(x) == 5, 2, any))
col_winners <- which(apply(col_sums(x) == 5, 2, any))
c(row_winners, col_winners)
}
i <- call_start
winner <- find_winner(board_array, calls[seq_len(i)])
while (length(winner) == 0) {
i <- i + 1
winner <- find_winner(board_array, calls[seq_len(i)])
}
unmarked <- setdiff(board_array[, , winner], calls[seq_len(i)])
list(
board_array = board_array,
last_call = i,
winner = winner,
score = sum(unmarked) * calls[i]
)
}
f04_read_input <- function(x) {
parse_rows <- function(xs) {
xs |>
strsplit("(?<=\\d) +", perl = TRUE) |>
unlist() |>
as.numeric() |>
matrix(byrow = TRUE, nrow = 5)
}
calls <- x[1] |>
strsplit(",") |>
unlist() |>
as.numeric()
starts <- seq(from = 3, to = length(x), by = 6)
ends <- starts + 4
matrices <- Map(seq, starts, ends) |>
lapply(function(l) x[l]) |>
lapply(parse_rows)
board_array <- array(unlist(matrices), c(5, 5, length(matrices)))
list(
calls = calls,
board_array = board_array
)
}
#' @param example Which example data to use (by position or name). Defaults to
#' 1.
#' @rdname day04
#' @export
example_data_04 <- function(example = 1) {
l <- list(
a = c(system.file("example04.txt", package = "adventofcode21")
)
)
l[[example]]
}
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