index.qmd

---
title: "Welcome!"
format: html
execute: 
  enabled: true
  cache: false
  freeze: false
listing:
  id: solutions
  contents: # Make sure to update the rendered folders in _quarto.yml
    - '2025/*/*.qmd'
    - '2024/*/*.qmd'
    - '2023/*/*.qmd'
    - '2022/*/*.qmd'
    - '2021/*/*.qmd'
    - '2020/*/*.qmd'
    - '2019/*/*.qmd'
    - '2018/*/*.qmd'
  date-format: 'YYYY-DD'
  sort: "date desc"
  type: table
  table-striped: true
  table-hover: true
  fields: [date, title]
  sort-ui: [date]
---

Welcome to my Advent of Code ~~blog~~ book! All of my solutions are in R with varying degrees of complexity and documentation.

::: {.callout-caution}

## Under Construction

I'm currently trying to convert this from a Quarto Book to a Quarto Blog. There ended up being too much for the Book format to handle so I'm hoping a Blog is easier to maintain.

:::

## Star Chart

```{r}
#| output: false
#| include: false
library(quarto)
years <- c(2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025)
stars <- c(  43,   18,   16,   12,    8,   23,   26,   28,   16,   19,   14)

mapply(\(y, s) {
  c("star" = rev(seq_len(s))) |>
    `names<-`(rep(y, s)) |>
    c(setNames(0, y))
}, years, stars) |>
  unlist() |>
  tibble::enframe(name = 'year', value = 'stars') |>
  dplyr::mutate(
    'label' = max(.data$stars),
    .by = 'year'
  ) |>
  dplyr::filter(
    .data$stars > 0 | dplyr::n() == 1, 
    .by = 'year'
  ) |>
  dplyr::mutate(
    'label' = ifelse(.data$label == .data$stars, .data$label, NA),
    'stars' = ifelse(.data$stars == 0, NA, .data$stars)
  ) |>
  ggplot2::ggplot(ggplot2::aes(x = year, y = stars)) +
  ggstar::geom_star(fill = "gold", size = 5) +
  ggplot2::geom_label(ggplot2::aes(label = label), size = 3) +
  ggplot2::theme_minimal() +
  ggplot2::theme(
    legend.position = "none",
    axis.ticks = ggplot2::element_blank(),
    axis.text = ggplot2::element_text(face = "bold"),
    axis.text.y = ggplot2::element_blank(),
    panel.grid = ggplot2::element_blank(),
    panel.background = ggplot2::element_rect(fill = 'transparent', colour = 'transparent'),
    plot.background = ggplot2::element_rect(fill = 'transparent', color = NA)
  ) +
  ggplot2::xlab("Year") + ggplot2::ylab("Stars") +
  ggplot2::ylim(0, max(stars) + 8) +
  ggplot2::coord_cartesian(clip = "off") +
  ggplot2::geom_label(
    x = .7,
    y = -4, # year tick box
    label = paste(rep(" ", 149), collapse = ""),
    hjust = 0,
    fill = "white"
  ) +
  ggplot2::geom_label(x = 6, y = -6.3, label = "       ") + # year label box
  ggtext::geom_richtext(
    x = .17,
    y = max(stars) / 2 + 4,
    label = "",
    angle = 90,
    label.padding = ggplot2::unit(c(.6, 1.1, .4, 1.1), "lines")
  ) +
  ggplot2::geom_label(
    x = .5,
    y = max(stars) + 6,
    label = paste(
      "My Advent of Code Star Chart\nTotal Stars: ",
      sum(stars),
      "/",
      (10 * 50) + (1 * 24)
    ),
    hjust = 0
  ) -> p
print(p)
ggplot2::ggsave("stars.png", p, bg = 'transparent')
```

![](stars.png)

```{r}
#| echo: false
#| output: false
# source("post-packages.R")

cat("adventofcode.guslipkin.me", file = "docs/CNAME")
```

## My Favorite Solutions

- [2016-12](2016/12/2016-12.html) and [2017-08](2017/08/2017-08.html): I [created a small assembly style computer](https://mistlecode.guslipkin.me/reference/assembly) that solves the problems for me given a set of registers and instructions.
- [2021-09](2021/09/2021-09.html): I used the `dbscan` clustering method to solve a path finding issue. 
- [2022-04](2022/04/2022-04.html): While not my fastest part 1, part 2 took me just 38 seconds!
- [2022-11](2022/11/2022-11.html): I used [S3 Classes](https://adv-r.hadley.nz/s3.html#s3) and [function factories](https://adv-r.hadley.nz/function-factories.html?q=function%20fac#function-factories) for the first time, and got just a little bit better at recursion.
- [2025-09](2025/09/2025-09.html): I used `geos` to make polygons and check for overlap rather than trying to figure it all out myself.

## All of My Solutions

::: {#solutions}
:::