From ed95e9c90861f49f0db99092080c6ce245a70124 Mon Sep 17 00:00:00 2001 From: Emil Hvitfeldt Date: Thu, 30 Nov 2023 21:53:25 -0800 Subject: [PATCH] starting 2023 with day 1 --- 2023.Rmd | 223 ++ 2023/01-1.R | 7 + 2023/01-2.R | 21 + 2023/01-input | 1000 ++++++ 2023_cache/html5/__packages | 2 + ...rt1_09a022df9cab30e11ad549b3433d0c5b.RData | Bin 0 -> 2770 bytes ...part1_09a022df9cab30e11ad549b3433d0c5b.rdb | Bin 0 -> 43 bytes ...part1_09a022df9cab30e11ad549b3433d0c5b.rdx | Bin 0 -> 143 bytes ...rt2_7813789bf7edf19857bcddf9fef5cb66.RData | Bin 0 -> 2771 bytes ...part2_7813789bf7edf19857bcddf9fef5cb66.rdb | Bin 0 -> 691 bytes ...part2_7813789bf7edf19857bcddf9fef5cb66.rdx | Bin 0 -> 173 bytes _site.yml | 2 + docs/2015.html | 63 +- docs/2016.html | 39 +- docs/2017.html | 43 +- docs/2017/09-1.R | 42 - docs/2018.html | 39 +- docs/2019.html | 39 +- docs/2020.html | 65 +- docs/2021.html | 51 +- docs/2022.html | 17 +- docs/2023.html | 2709 +++++++++++++++++ docs/2023/01-1.R | 7 + docs/2023/01-2.R 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docs/site_libs/font-awesome-5.1.0/webfonts/fa-solid-900.eot delete mode 100644 docs/site_libs/font-awesome-5.1.0/webfonts/fa-solid-900.svg delete mode 100644 docs/site_libs/font-awesome-5.1.0/webfonts/fa-solid-900.ttf delete mode 100644 docs/site_libs/font-awesome-5.1.0/webfonts/fa-solid-900.woff delete mode 100644 docs/site_libs/font-awesome-5.1.0/webfonts/fa-solid-900.woff2 delete mode 100644 docs/site_libs/header-attrs-2.18/header-attrs.js diff --git a/2023.Rmd b/2023.Rmd new file mode 100644 index 0000000..2d403f4 --- /dev/null +++ b/2023.Rmd @@ -0,0 +1,223 @@ +--- +title: "My 2023 Solutions" +--- + +```{r setup, include=FALSE} +library(knitr) +library(tictoc) +knitr::opts_chunk$set() +xaringanExtra::use_panelset() +``` + +```{css, echo=FALSE} +.panel-tab { + flex: 1 0 20%; + text-align: center; +} +``` + +```{r, echo=FALSE} +part1 <- fs::dir_ls("2023/") |> + stringr::str_subset("-1") |> + stringr::str_sub(6, 7) |> + as.numeric() + +part2 <- fs::dir_ls("2023/") |> + stringr::str_subset("-2") |> + stringr::str_sub(6, 7) |> + as.numeric() + +one_done <- setdiff(setdiff(1:25, part2), setdiff(1:25, part1)) +none_done <- intersect(setdiff(1:25, part2), setdiff(1:25, part1)) + +htmltools::tags$style( + paste0(collapse = "\n", + c( + glue::glue( + "#panelset_day-[one_done] {color: #EBB626 !important;}", + .open = "[", .close = "]" + ), + glue::glue( + "#panelset_day-[none_done] {color: #D63131 !important;}", + .open = "[", .close = "]" + ) + ) + ) +) +``` + +::::: {.panelset} + +::: {.panel} + +# Day 1 {.panel-name} + +## Part 1 + +```{r, code=readLines("2023/01-1.R"), eval=FALSE} +``` + +```{r day01part1, echo=FALSE, cache=TRUE} +tic() +tmp <- eval(parse(text = readLines("2023/01-1.R"))) +toc() +``` + +## Part 2 + +```{r, code=readLines("2023/01-2.R"), eval=FALSE} +``` + +```{r day01part2, echo=FALSE, cache=TRUE} +tic() +tmp <- eval(parse(text = readLines("2023/01-2.R"))) +toc() +``` + +::: + +::: {.panel} + +# Day 2 {.panel-name} + +::: + +::: {.panel} + +# Day 3 {.panel-name} + +::: + +::: {.panel} + +# Day 4 {.panel-name} + +::: + +::: {.panel} + +# Day 5 {.panel-name} + +::: + +::: {.panel} + +# Day 6 {.panel-name} + +::: + +::: {.panel} + +# Day 7 {.panel-name} + +::: + +::: {.panel} + +# Day 8 {.panel-name} + +::: + +::: {.panel} + +# Day 9 {.panel-name} + +::: + +::: {.panel} + +# Day 10 {.panel-name} + +::: + +::: {.panel} + +# Day 11 {.panel-name} + +::: + +::: {.panel} + +# Day 12 {.panel-name} + +::: + +::: {.panel} + +# Day 13 {.panel-name} + +::: + +::: {.panel} + +# Day 14 {.panel-name} + +::: + +::: {.panel} + +# Day 15 {.panel-name} + +::: + +::: {.panel} + +# Day 16 {.panel-name} + +::: + +::: {.panel} + +# Day 17 {.panel-name} + +::: + +::: {.panel} + +# Day 18 {.panel-name} + +::: + +::: {.panel} + +# Day 19 {.panel-name} + +::: + +::: {.panel} + +# Day 20 {.panel-name} + +::: + +::: {.panel} + +# Day 21 {.panel-name} + +::: + +::: {.panel} + +# Day 22 {.panel-name} + +::: + +::: {.panel} + +# Day 23 {.panel-name} + +::: + +::: {.panel} + +# Day 24 {.panel-name} + +::: + +::: {.panel} + +# Day 25 {.panel-name} + +::: + +::::: diff --git a/2023/01-1.R b/2023/01-1.R new file mode 100644 index 0000000..b02097d --- /dev/null +++ b/2023/01-1.R @@ -0,0 +1,7 @@ +input <- readLines("2023/01-input") + +input |> + stringr::str_extract_all("\\d") |> + purrr::map_chr(~ paste0(head(.x, 1), tail(.x, 1))) |> + as.integer() |> + sum() diff --git a/2023/01-2.R b/2023/01-2.R new file mode 100644 index 0000000..fc052ea --- /dev/null +++ b/2023/01-2.R @@ -0,0 +1,21 @@ +input <- readLines("2023/01-input") + +numbers <- c( + "one" = 1, "two" = 2, "three" = 3, "four" = 4, "five" = 5, + "six" = 6, "seven" = 7, "eight" = 8, "nine" = 9, + setNames(nm = 1:9) +) +srebmun <- numbers +names(srebmun) <- stringi::stri_reverse(names(srebmun)) + +get_digit <- function(x, ref) { + res <- x |> + stringr::str_extract(paste0("(", paste0(names(ref), collapse = "|"), ")")) + + ref[res] +} + +sum( + get_digit(input, numbers) * 10 + + 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bI+3Hko|XDy2S?shGljkZB3y0X6afGL7Yt3U literal 0 HcmV?d00001 diff --git a/_site.yml b/_site.yml index 31da139..3b2c62b 100644 --- a/_site.yml +++ b/_site.yml @@ -22,5 +22,7 @@ navbar: href: 2021.html - text: "2022" href: 2022.html + - text: "2023" + href: 2023.html output: distill::distill_article diff --git a/docs/2015.html b/docs/2015.html index 536ebe2..215173e 100644 --- a/docs/2015.html +++ b/docs/2015.html @@ -455,8 +455,8 @@ - - + + @@ -826,9 +826,21 @@

${suggestion.title}

display: none !important; } + hr.section-separator { + border: none; + border-top: 1px solid rgba(0, 0, 0, 0.1); + margin: 0px; + } + + + d-byline { + border-top: none; + } + d-article { padding-top: 2.5rem; padding-bottom: 30px; + border-top: none; } d-appendix { @@ -925,6 +937,11 @@

${suggestion.title}

font-size: 14px; } + /* tweak for Pandoc numbered line within distill */ + d-article pre.numberSource code > span { + left: -2em; + } + d-article pre { font-size: 14px; } @@ -1684,6 +1701,12 @@

${suggestion.title}

// create d-title $('.d-title').changeElementType('d-title'); + // separator + var separator = '
'; + // prepend separator above appendix + $('.d-byline').before(separator); + $('.d-article').before(separator); + // create d-byline var byline = $(''); $('.d-byline').replaceWith(byline); @@ -1761,8 +1784,9 @@

${suggestion.title}

$('.distill-force-highlighting-css').parent().remove(); // remove empty line numbers inserted by pandoc when using a - // custom syntax highlighting theme - $('code.sourceCode a:empty').remove(); + // custom syntax highlighting theme, except when numbering line + // in code chunk + $('pre:not(.numberLines) code.sourceCode a:empty').remove(); // load distill framework load_distill_framework(); @@ -1788,12 +1812,13 @@

${suggestion.title}

// add orcid ids $('.authors-affiliations').find('.author').each(function(i, el) { var orcid_id = front_matter.authors[i].orcidID; + var author_name = front_matter.authors[i].author if (orcid_id) { var a = $(''); a.attr('href', 'https://orcid.org/' + orcid_id); var img = $(''); img.addClass('orcid-id'); - img.attr('alt', 'ORCID ID'); + img.attr('alt', author_name ? 'ORCID ID for ' + author_name : 'ORCID ID'); img.attr('src','data:image/png;base64,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'); a.append(img); $(this).append(a); @@ -2447,7 +2472,7 @@

${suggestion.title}

color: var(--hover-color, white); } - + @@ -2486,6 +2511,7 @@

${suggestion.title}

2020 2021 2022 +2023
☰ @@ -2498,6 +2524,7 @@

${suggestion.title}

My 2015 Solutions

+ @@ -2726,7 +2753,7 @@

Part 2

input <- readLines("2015/05-input")
 
-pairs <- tokenizers::tokenize_character_shingles(input, n = 2)
+pairs <- tokenizers::tokenize_character_shingles(input, n = 2)
 
 x <- pairs[[1]]
 
@@ -2744,7 +2771,7 @@ 
Part 2

 
 con1 <- vapply(pairs, con1_fun, FUN.VALUE = logical(1))
 
-triplets <- tokenizers::tokenize_character_shingles(input, n = 3)
+triplets <- tokenizers::tokenize_character_shingles(input, n = 3)
 
 con2_fun <- function(x) {
   any(substr(x, 1, 1) == substr(x, 3, 3))
@@ -3050,7 +3077,7 @@ 
Part 1

   unique() %>%
   combinat::permn()
 
-distances <- bind_rows(
+distances <- bind_rows(
   input_tbl,
   input_tbl %>% rename(from = to, to = from)
 )
@@ -3091,7 +3118,7 @@ 
Part 2

   unique() %>%
   combinat::permn()
 
-distances <- bind_rows(
+distances <- bind_rows(
   input_tbl,
   input_tbl %>% rename(from = to, to = from)
 )
@@ -3479,7 +3506,7 @@ 
Part 2

 numbers <- map(numbers, as.numeric)
 names(numbers) <- str_extract(input, "\\w*")
 
-ditances <- map2_dfr(
+ditances <- map2_dfr(
   numbers,
   names(numbers),
   ~ data.frame(
@@ -3533,7 +3560,7 @@ 
Part 1

     mutate(Sugar = 100 - n)
 }
 
-combinations <- purrr::map_dfr(0:100, fourway_sum)
+combinations <- purrr::map_dfr(0:100, fourway_sum)
 
 batter_mizer <- function(Sprinkles, PeanutButter, Frosting, Sugar) {
   sum <- values[["Sprinkles"]] * Sprinkles +
@@ -3546,7 +3573,7 @@ 
Part 1

   prod(sum[1:4])
 }
 
-res <- purrr::pmap_dbl(combinations, batter_mizer)
+res <- purrr::pmap_dbl(combinations, batter_mizer)
 max(res)
@@ -3580,7 +3607,7 @@

Part 2

prod(sum[1:4]) } -res <- purrr::pmap_dbl(combinations, batter_mizer_500_cal) +res <- purrr::pmap_dbl(combinations, batter_mizer_500_cal) max(res)
@@ -4045,7 +4072,7 @@

Part 1

} pre_battle <- function(ring1, ring2, weapon, armor) { - outfit <- dplyr::bind_rows( + outfit <- dplyr::bind_rows( ring_tbl[c(ring1, ring2), ], weapon_tbl[weapon, ], armor_tbl[armor, ] @@ -4058,7 +4085,7 @@

Part 1

} } -min(purrr::pmap_dbl(outfits, pre_battle), na.rm = TRUE) +min(purrr::pmap_dbl(outfits, pre_battle), na.rm = TRUE)
@@ -4123,7 +4150,7 @@

Part 2

} pre_battle <- function(ring1, ring2, weapon, armor) { - outfit <- dplyr::bind_rows( + outfit <- dplyr::bind_rows( ring_tbl[c(ring1, ring2), ], weapon_tbl[weapon, ], armor_tbl[armor, ] @@ -4136,7 +4163,7 @@

Part 2

} } -max(purrr::pmap_dbl(outfits, pre_battle), na.rm = TRUE) +max(purrr::pmap_dbl(outfits, pre_battle), na.rm = TRUE)
diff --git a/docs/2016.html b/docs/2016.html index 9dc08fb..1405d36 100644 --- a/docs/2016.html +++ b/docs/2016.html @@ -455,8 +455,8 @@ - - + + @@ -826,9 +826,21 @@

${suggestion.title}

display: none !important; } + hr.section-separator { + border: none; + border-top: 1px solid rgba(0, 0, 0, 0.1); + margin: 0px; + } + + + d-byline { + border-top: none; + } + d-article { padding-top: 2.5rem; padding-bottom: 30px; + border-top: none; } d-appendix { @@ -925,6 +937,11 @@

${suggestion.title}

font-size: 14px; } + /* tweak for Pandoc numbered line within distill */ + d-article pre.numberSource code > span { + left: -2em; + } + d-article pre { font-size: 14px; } @@ -1684,6 +1701,12 @@

${suggestion.title}

// create d-title $('.d-title').changeElementType('d-title'); + // separator + var separator = '
'; + // prepend separator above appendix + $('.d-byline').before(separator); + $('.d-article').before(separator); + // create d-byline var byline = $(''); $('.d-byline').replaceWith(byline); @@ -1761,8 +1784,9 @@

${suggestion.title}

$('.distill-force-highlighting-css').parent().remove(); // remove empty line numbers inserted by pandoc when using a - // custom syntax highlighting theme - $('code.sourceCode a:empty').remove(); + // custom syntax highlighting theme, except when numbering line + // in code chunk + $('pre:not(.numberLines) code.sourceCode a:empty').remove(); // load distill framework load_distill_framework(); @@ -1788,12 +1812,13 @@

${suggestion.title}

// add orcid ids $('.authors-affiliations').find('.author').each(function(i, el) { var orcid_id = front_matter.authors[i].orcidID; + var author_name = front_matter.authors[i].author if (orcid_id) { var a = $(''); a.attr('href', 'https://orcid.org/' + orcid_id); var img = $(''); img.addClass('orcid-id'); - img.attr('alt', 'ORCID ID'); + img.attr('alt', author_name ? 'ORCID ID for ' + author_name : 'ORCID ID'); img.attr('src','data:image/png;base64,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'); a.append(img); $(this).append(a); @@ -2447,7 +2472,7 @@

${suggestion.title}

color: var(--hover-color, white); } - + @@ -2486,6 +2511,7 @@

${suggestion.title}

2020 2021 2022 +2023
☰ @@ -2498,6 +2524,7 @@

${suggestion.title}

My 2016 Solutions

+ diff --git a/docs/2017.html b/docs/2017.html index 6f7ec2f..784abf4 100644 --- a/docs/2017.html +++ b/docs/2017.html @@ -455,8 +455,8 @@ - - + + @@ -826,9 +826,21 @@

${suggestion.title}

display: none !important; } + hr.section-separator { + border: none; + border-top: 1px solid rgba(0, 0, 0, 0.1); + margin: 0px; + } + + + d-byline { + border-top: none; + } + d-article { padding-top: 2.5rem; padding-bottom: 30px; + border-top: none; } d-appendix { @@ -925,6 +937,11 @@

${suggestion.title}

font-size: 14px; } + /* tweak for Pandoc numbered line within distill */ + d-article pre.numberSource code > span { + left: -2em; + } + d-article pre { font-size: 14px; } @@ -1684,6 +1701,12 @@

${suggestion.title}

// create d-title $('.d-title').changeElementType('d-title'); + // separator + var separator = '
'; + // prepend separator above appendix + $('.d-byline').before(separator); + $('.d-article').before(separator); + // create d-byline var byline = $(''); $('.d-byline').replaceWith(byline); @@ -1761,8 +1784,9 @@

${suggestion.title}

$('.distill-force-highlighting-css').parent().remove(); // remove empty line numbers inserted by pandoc when using a - // custom syntax highlighting theme - $('code.sourceCode a:empty').remove(); + // custom syntax highlighting theme, except when numbering line + // in code chunk + $('pre:not(.numberLines) code.sourceCode a:empty').remove(); // load distill framework load_distill_framework(); @@ -1788,12 +1812,13 @@

${suggestion.title}

// add orcid ids $('.authors-affiliations').find('.author').each(function(i, el) { var orcid_id = front_matter.authors[i].orcidID; + var author_name = front_matter.authors[i].author if (orcid_id) { var a = $(''); a.attr('href', 'https://orcid.org/' + orcid_id); var img = $(''); img.addClass('orcid-id'); - img.attr('alt', 'ORCID ID'); + img.attr('alt', author_name ? 'ORCID ID for ' + author_name : 'ORCID ID'); img.attr('src','data:image/png;base64,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'); a.append(img); $(this).append(a); @@ -2447,7 +2472,7 @@

${suggestion.title}

color: var(--hover-color, white); } - + @@ -2486,6 +2511,7 @@

${suggestion.title}

2020 2021 2022 +2023
☰ @@ -2498,6 +2524,7 @@

${suggestion.title}

My 2017 Solutions

+ @@ -2514,7 +2541,7 @@

My 2017 Solutions

- - - + + @@ -826,9 +826,21 @@

${suggestion.title}

display: none !important; } + hr.section-separator { + border: none; + border-top: 1px solid rgba(0, 0, 0, 0.1); + margin: 0px; + } + + + d-byline { + border-top: none; + } + d-article { padding-top: 2.5rem; padding-bottom: 30px; + border-top: none; } d-appendix { @@ -925,6 +937,11 @@

${suggestion.title}

font-size: 14px; } + /* tweak for Pandoc numbered line within distill */ + d-article pre.numberSource code > span { + left: -2em; + } + d-article pre { font-size: 14px; } @@ -1684,6 +1701,12 @@

${suggestion.title}

// create d-title $('.d-title').changeElementType('d-title'); + // separator + var separator = '
'; + // prepend separator above appendix + $('.d-byline').before(separator); + $('.d-article').before(separator); + // create d-byline var byline = $(''); $('.d-byline').replaceWith(byline); @@ -1761,8 +1784,9 @@

${suggestion.title}

$('.distill-force-highlighting-css').parent().remove(); // remove empty line numbers inserted by pandoc when using a - // custom syntax highlighting theme - $('code.sourceCode a:empty').remove(); + // custom syntax highlighting theme, except when numbering line + // in code chunk + $('pre:not(.numberLines) code.sourceCode a:empty').remove(); // load distill framework load_distill_framework(); @@ -1788,12 +1812,13 @@

${suggestion.title}

// add orcid ids $('.authors-affiliations').find('.author').each(function(i, el) { var orcid_id = front_matter.authors[i].orcidID; + var author_name = front_matter.authors[i].author if (orcid_id) { var a = $(''); a.attr('href', 'https://orcid.org/' + orcid_id); var img = $(''); img.addClass('orcid-id'); - img.attr('alt', 'ORCID ID'); + img.attr('alt', author_name ? 'ORCID ID for ' + author_name : 'ORCID ID'); img.attr('src','data:image/png;base64,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'); a.append(img); $(this).append(a); @@ -2447,7 +2472,7 @@

${suggestion.title}

color: var(--hover-color, white); } - + @@ -2486,6 +2511,7 @@

${suggestion.title}

2020 2021 2022 +2023
☰ @@ -2498,6 +2524,7 @@

${suggestion.title}

My 2018 Solutions

+ diff --git a/docs/2019.html b/docs/2019.html index 794c473..e9ee8e7 100644 --- a/docs/2019.html +++ b/docs/2019.html @@ -455,8 +455,8 @@ - - + + @@ -826,9 +826,21 @@

${suggestion.title}

display: none !important; } + hr.section-separator { + border: none; + border-top: 1px solid rgba(0, 0, 0, 0.1); + margin: 0px; + } + + + d-byline { + border-top: none; + } + d-article { padding-top: 2.5rem; padding-bottom: 30px; + border-top: none; } d-appendix { @@ -925,6 +937,11 @@

${suggestion.title}

font-size: 14px; } + /* tweak for Pandoc numbered line within distill */ + d-article pre.numberSource code > span { + left: -2em; + } + d-article pre { font-size: 14px; } @@ -1684,6 +1701,12 @@

${suggestion.title}

// create d-title $('.d-title').changeElementType('d-title'); + // separator + var separator = '
'; + // prepend separator above appendix + $('.d-byline').before(separator); + $('.d-article').before(separator); + // create d-byline var byline = $(''); $('.d-byline').replaceWith(byline); @@ -1761,8 +1784,9 @@

${suggestion.title}

$('.distill-force-highlighting-css').parent().remove(); // remove empty line numbers inserted by pandoc when using a - // custom syntax highlighting theme - $('code.sourceCode a:empty').remove(); + // custom syntax highlighting theme, except when numbering line + // in code chunk + $('pre:not(.numberLines) code.sourceCode a:empty').remove(); // load distill framework load_distill_framework(); @@ -1788,12 +1812,13 @@

${suggestion.title}

// add orcid ids $('.authors-affiliations').find('.author').each(function(i, el) { var orcid_id = front_matter.authors[i].orcidID; + var author_name = front_matter.authors[i].author if (orcid_id) { var a = $(''); a.attr('href', 'https://orcid.org/' + orcid_id); var img = $(''); img.addClass('orcid-id'); - img.attr('alt', 'ORCID ID'); + img.attr('alt', author_name ? 'ORCID ID for ' + author_name : 'ORCID ID'); img.attr('src','data:image/png;base64,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'); a.append(img); $(this).append(a); @@ -2447,7 +2472,7 @@

${suggestion.title}

color: var(--hover-color, white); } - + @@ -2486,6 +2511,7 @@

${suggestion.title}

2020 2021 2022 +2023
☰ @@ -2498,6 +2524,7 @@

${suggestion.title}

My 2019 Solutions

+ diff --git a/docs/2020.html b/docs/2020.html index 7efb3b8..c6cece2 100644 --- a/docs/2020.html +++ b/docs/2020.html @@ -455,8 +455,8 @@ - - + + @@ -826,9 +826,21 @@

${suggestion.title}

display: none !important; } + hr.section-separator { + border: none; + border-top: 1px solid rgba(0, 0, 0, 0.1); + margin: 0px; + } + + + d-byline { + border-top: none; + } + d-article { padding-top: 2.5rem; padding-bottom: 30px; + border-top: none; } d-appendix { @@ -925,6 +937,11 @@

${suggestion.title}

font-size: 14px; } + /* tweak for Pandoc numbered line within distill */ + d-article pre.numberSource code > span { + left: -2em; + } + d-article pre { font-size: 14px; } @@ -1684,6 +1701,12 @@

${suggestion.title}

// create d-title $('.d-title').changeElementType('d-title'); + // separator + var separator = '
'; + // prepend separator above appendix + $('.d-byline').before(separator); + $('.d-article').before(separator); + // create d-byline var byline = $(''); $('.d-byline').replaceWith(byline); @@ -1761,8 +1784,9 @@

${suggestion.title}

$('.distill-force-highlighting-css').parent().remove(); // remove empty line numbers inserted by pandoc when using a - // custom syntax highlighting theme - $('code.sourceCode a:empty').remove(); + // custom syntax highlighting theme, except when numbering line + // in code chunk + $('pre:not(.numberLines) code.sourceCode a:empty').remove(); // load distill framework load_distill_framework(); @@ -1788,12 +1812,13 @@

${suggestion.title}

// add orcid ids $('.authors-affiliations').find('.author').each(function(i, el) { var orcid_id = front_matter.authors[i].orcidID; + var author_name = front_matter.authors[i].author if (orcid_id) { var a = $(''); a.attr('href', 'https://orcid.org/' + orcid_id); var img = $(''); img.addClass('orcid-id'); - img.attr('alt', 'ORCID ID'); + img.attr('alt', author_name ? 'ORCID ID for ' + author_name : 'ORCID ID'); img.attr('src','data:image/png;base64,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'); a.append(img); $(this).append(a); @@ -2447,7 +2472,7 @@

${suggestion.title}

color: var(--hover-color, white); } - + @@ -2486,6 +2511,7 @@

${suggestion.title}

2020 2021 2022 +2023
☰ @@ -2498,6 +2524,7 @@

${suggestion.title}

My 2020 Solutions

+ @@ -2753,7 +2780,7 @@

Part 2

} password_df <- passports[valid] %>% - map_dfr(create_list) + map_dfr(create_list) int <- as.integer @@ -2857,11 +2884,11 @@

Part 1

answers <- read_file("2020/06-input") %>% tibble(input = .) %>% - unnest_paragraphs(text, input) %>% + unnest_paragraphs(text, input) %>% rowid_to_column("group_id") %>% - unnest_tokens(text, text) %>% + unnest_tokens(text, text) %>% rowid_to_column("person_id") %>% - unnest_characters(text, text) + unnest_characters(text, text) answers %>% count(group_id, text) %>% @@ -2880,11 +2907,11 @@

Part 2

answers <- read_file("2020/06-input") %>% tibble(input = .) %>% - unnest_paragraphs(text, input) %>% + unnest_paragraphs(text, input) %>% rowid_to_column("group_id") %>% - unnest_tokens(text, text) %>% + unnest_tokens(text, text) %>% rowid_to_column("person_id") %>% - unnest_characters(text, text) + unnest_characters(text, text) answers %>% group_by(group_id) %>% @@ -3594,7 +3621,7 @@

Part 1

space <- expand_grid(x = seq(1, 20), y = seq(1, 20), z = seq(1, 20)) %>% left_join(start, by = c("x", "y", "z")) %>% mutate(state = if_else(is.na(state), ".", state)) %>% - mutate(row = row_number()) + mutate(row = row_number()) find_neighbors <- function(dat) { space %>% @@ -3655,7 +3682,7 @@

Part 2

w = seq(-6, 6)) %>% left_join(start, by = c("x", "y", "z", "w")) %>% mutate(state = if_else(is.na(state), ".", state)) %>% - mutate(row = row_number()) + mutate(row = row_number()) find_neighbors <- function(dat) { space %>% @@ -3845,12 +3872,12 @@

Part 1

tibble(id, side = c(sides, stringi::stri_reverse(sides))) } -tile_sides <- map_dfr(tiles, tile_info) +tile_sides <- map_dfr(tiles, tile_info) options(scipen = 999) joints <- inner_join(tile_sides, tile_sides, by = "side") %>% filter(id.x != id.y) %>% - transmute(pair = map2_chr(id.x, id.y, ~ + transmute(pair = map2_chr(id.x, id.y, ~ paste(sort(c(.x, .y)), collapse = " ") )) %>% distinct() %>% @@ -3893,12 +3920,12 @@

Part 2

tibble(id, side = c(sides, stringi::stri_reverse(sides))) } -tile_sides <- map_dfr(tiles, tile_info) +tile_sides <- map_dfr(tiles, tile_info) options(scipen = 999) joints <- inner_join(tile_sides, tile_sides, by = "side") %>% filter(id.x != id.y) %>% - transmute(pair = map2_chr(id.x, id.y, ~ + transmute(pair = map2_chr(id.x, id.y, ~ paste(sort(c(.x, .y)), collapse = " ") )) %>% distinct() %>% diff --git a/docs/2021.html b/docs/2021.html index 173cb63..344f928 100644 --- a/docs/2021.html +++ b/docs/2021.html @@ -455,8 +455,8 @@ - - + + @@ -826,9 +826,21 @@

${suggestion.title}

display: none !important; } + hr.section-separator { + border: none; + border-top: 1px solid rgba(0, 0, 0, 0.1); + margin: 0px; + } + + + d-byline { + border-top: none; + } + d-article { padding-top: 2.5rem; padding-bottom: 30px; + border-top: none; } d-appendix { @@ -925,6 +937,11 @@

${suggestion.title}

font-size: 14px; } + /* tweak for Pandoc numbered line within distill */ + d-article pre.numberSource code > span { + left: -2em; + } + d-article pre { font-size: 14px; } @@ -1684,6 +1701,12 @@

${suggestion.title}

// create d-title $('.d-title').changeElementType('d-title'); + // separator + var separator = '
'; + // prepend separator above appendix + $('.d-byline').before(separator); + $('.d-article').before(separator); + // create d-byline var byline = $(''); $('.d-byline').replaceWith(byline); @@ -1761,8 +1784,9 @@

${suggestion.title}

$('.distill-force-highlighting-css').parent().remove(); // remove empty line numbers inserted by pandoc when using a - // custom syntax highlighting theme - $('code.sourceCode a:empty').remove(); + // custom syntax highlighting theme, except when numbering line + // in code chunk + $('pre:not(.numberLines) code.sourceCode a:empty').remove(); // load distill framework load_distill_framework(); @@ -1788,12 +1812,13 @@

${suggestion.title}

// add orcid ids $('.authors-affiliations').find('.author').each(function(i, el) { var orcid_id = front_matter.authors[i].orcidID; + var author_name = front_matter.authors[i].author if (orcid_id) { var a = $(''); a.attr('href', 'https://orcid.org/' + orcid_id); var img = $(''); img.addClass('orcid-id'); - img.attr('alt', 'ORCID ID'); + img.attr('alt', author_name ? 'ORCID ID for ' + author_name : 'ORCID ID'); img.attr('src','data:image/png;base64,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'); a.append(img); $(this).append(a); @@ -2447,7 +2472,7 @@

${suggestion.title}

color: var(--hover-color, white); } - + @@ -2486,6 +2511,7 @@

${suggestion.title}

2020 2021 2022 +2023
☰ @@ -2498,6 +2524,7 @@

${suggestion.title}

My 2021 Solutions

+ @@ -2802,9 +2829,9 @@

Part 1

tibble(input = readLines("2021/05-input")) %>% separate(input, into = c("x1", "y1", "x2", "y2"), convert = TRUE) %>% filter(x1 == x2 | y1 == y2) %>% - group_nest(row_number()) %>% + group_nest(row_number()) %>% mutate(crosses = map(data, ~tibble(x = .x$x1:.x$x2, y = .x$y1:.x$y2))) %>% - unnest(crosses) %>% + unnest(crosses) %>% count(x, y) %>% filter(n > 1) %>% nrow() @@ -2820,9 +2847,9 @@

Part 2

tibble(input = readLines("2021/05-input")) %>% separate(input, into = c("x1", "y1", "x2", "y2"), convert = TRUE) %>% - group_nest(row_number()) %>% + group_nest(row_number()) %>% mutate(crosses = map(data, ~tibble(x = .x$x1:.x$x2, y = .x$y1:.x$y2))) %>% - unnest(crosses) %>% + unnest(crosses) %>% count(x, y) %>% filter(n > 1) %>% nrow() @@ -3334,7 +3361,7 @@

Day 12

input <- tibble(input = readLines("2021/12-input")) %>% separate(input, into = c("from", "to")) -input <- bind_rows( +input <- bind_rows( input, input %>% mutate(tmp = from, from = to, to = tmp) %>% select(-tmp) ) @@ -3393,7 +3420,7 @@

Part 2

input <- tibble(input = readLines("2021/12-input")) %>% separate(input, into = c("from", "to")) -input <- bind_rows( +input <- bind_rows( input, input %>% mutate(tmp = from, from = to, to = tmp) %>% select(-tmp) ) diff --git a/docs/2022.html b/docs/2022.html index fb5846e..dbc1789 100644 --- a/docs/2022.html +++ b/docs/2022.html @@ -2511,6 +2511,7 @@

${suggestion.title}

2020 2021 2022 +2023
☰ @@ -2666,13 +2667,13 @@

Part 1

common_split <- function(x) { half <- length(x) / 2 - intersect( + intersect( head(x, half), tail(x, half) ) } map_chr(input, common_split) |> - match(score) |> + match(score) |> sum()
@@ -2693,12 +2694,12 @@

Part 2

common_group <- function(x) { x[[1]] |> - intersect(x[[2]]) |> - intersect(x[[3]]) + intersect(x[[2]]) |> + intersect(x[[3]]) } map_chr(input_group, common_group) |> - match(score) |> + match(score) |> sum()
@@ -2721,8 +2722,8 @@

Part 1

seq1 <- seq(x[1], x[2]) seq2 <- seq(x[3], x[4]) - length(setdiff(seq1, seq2)) == 0 || - length(setdiff(seq2, seq1)) == 0 + length(setdiff(seq1, seq2)) == 0 || + length(setdiff(seq2, seq1)) == 0 } map_lgl(input, contain) |> sum() @@ -2744,7 +2745,7 @@

Part 2

seq1 <- seq(x[1], x[2]) seq2 <- seq(x[3], x[4]) - length(intersect(seq1, seq2)) > 0 + length(intersect(seq1, seq2)) > 0 } map_lgl(input, overlap) |> sum() diff --git a/docs/2023.html b/docs/2023.html new file mode 100644 index 0000000..a66c3d9 --- /dev/null +++ b/docs/2023.html @@ -0,0 +1,2709 @@ + + + + + + + + + + + + + + + + + + + + + R Advent Of Code: My 2023 Solutions + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+

My 2023 Solutions

+ + + + +
+ + +
+
+ +
+
+ +
+
+
+

Day 1

+

Part 1

+
+
+
input <- readLines("2023/01-input")
+
+input |>
+  stringr::str_extract_all("\\d") |>
+  purrr::map_chr(~ paste0(head(.x, 1), tail(.x, 1))) |>
+  as.integer() |>
+  sum()
+
+
+
+
0.01 sec elapsed
+
+

Part 2

+
+
+
input <- readLines("2023/01-input")
+
+numbers <- c(
+  "one" = 1, "two" = 2, "three" = 3, "four" = 4, "five" = 5,
+  "six" = 6, "seven" = 7, "eight" = 8, "nine" = 9,
+  setNames(nm = 1:9)
+)
+srebmun <- numbers
+names(srebmun) <- stringi::stri_reverse(names(srebmun))
+
+get_digit <- function(x, ref) {
+  res <- x |>
+    stringr::str_extract(paste0("(", paste0(names(ref), collapse = "|"), ")"))
+
+  ref[res]
+}
+
+sum(
+  get_digit(input, numbers) * 10 +
+  get_digit(stringi::stri_reverse(input), srebmun)
+)
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+ + + + + + + diff --git a/docs/2023/01-1.R b/docs/2023/01-1.R new file mode 100644 index 0000000..b02097d --- /dev/null +++ b/docs/2023/01-1.R @@ -0,0 +1,7 @@ +input <- readLines("2023/01-input") + +input |> + stringr::str_extract_all("\\d") |> + purrr::map_chr(~ paste0(head(.x, 1), tail(.x, 1))) |> + as.integer() |> + sum() diff --git a/docs/2023/01-2.R b/docs/2023/01-2.R new file mode 100644 index 0000000..fc052ea --- /dev/null +++ b/docs/2023/01-2.R @@ -0,0 +1,21 @@ +input <- readLines("2023/01-input") + +numbers <- c( + "one" = 1, "two" = 2, "three" = 3, "four" = 4, "five" = 5, + "six" = 6, "seven" = 7, "eight" = 8, "nine" = 9, + setNames(nm = 1:9) +) +srebmun <- numbers +names(srebmun) <- stringi::stri_reverse(names(srebmun)) + +get_digit <- function(x, ref) { + res <- x |> + stringr::str_extract(paste0("(", paste0(names(ref), collapse = "|"), ")")) + + ref[res] +} + +sum( + get_digit(input, numbers) * 10 + + get_digit(stringi::stri_reverse(input), srebmun) +) diff --git a/docs/2023/01-input b/docs/2023/01-input new file mode 100644 index 0000000..e394817 --- /dev/null +++ b/docs/2023/01-input @@ -0,0 +1,1000 @@ +nine92jnhgqzctpgbcbpz +sevensddvc73three +9986fmfqhdmq8 +7onexmxbzllfqb +six777 +1zbngsixxrfrpr +threeeight9seven +nhds975three6 +ninepgp9 +22fourninetzfourfsnxjglthreeeight +mhcvqmsg7bdj +seven67 +fourone5 +twofour7 +5sixonesix3pzhd +3htvgrzpznhjts52one +52cmzhfrxdfmtgvtfqx7three4szcfchxj +sixtwonine7 +three7938 +67four4 +7zr9 +4qseventwoqqf9bbqg4 +sevenone1srmghlzg +ctwonenxmhspdmnineone7 +8mgzsgmphgceight +ktznbbmkbhln4six +cbtpgzc4 +rxzgrqeightseven18five4txv +jgb95ninetwonine +45mxfg9twodsnnjsfnk1five +29lhfhfkdqfntwo +tssixsixdxjzjjhq35hone +cjfjpcrpcn7rlrlrxslmhpt56189 +5llmdmqgt149sevenoneq6 +l9649twothree +8two34fjxt42 +seven3threelxd66 +46248mmfblpgql9fournine +3cmvxcskh4 +491mzklmbt7bgcrbmspprjgsgv +95eight5five +14qqndrttdrlgqrhmtbninezgjsftb +nine37eight1fcqns +4onethreekzpkpkpmxlpnsvqtlmtrsgznxkckrpsqskbz6 +9vvcsgxq 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${suggestion.title}

display: none !important; } + hr.section-separator { + border: none; + border-top: 1px solid rgba(0, 0, 0, 0.1); + margin: 0px; + } + + + d-byline { + border-top: none; + } + d-article { padding-top: 2.5rem; padding-bottom: 30px; + border-top: none; } d-appendix { @@ -928,6 +940,11 @@

${suggestion.title}

font-size: 14px; } + /* tweak for Pandoc numbered line within distill */ + d-article pre.numberSource code > span { + left: -2em; + } + d-article pre { font-size: 14px; } @@ -1687,6 +1704,12 @@

${suggestion.title}

// create d-title $('.d-title').changeElementType('d-title'); + // separator + var separator = '
'; + // prepend separator above appendix + $('.d-byline').before(separator); + $('.d-article').before(separator); + // create d-byline var byline = $(''); $('.d-byline').replaceWith(byline); @@ -1764,8 +1787,9 @@

${suggestion.title}

$('.distill-force-highlighting-css').parent().remove(); // remove empty line numbers inserted by pandoc when using a - // custom syntax highlighting theme - $('code.sourceCode a:empty').remove(); + // custom syntax highlighting theme, except when numbering line + // in code chunk + $('pre:not(.numberLines) code.sourceCode a:empty').remove(); // load distill framework load_distill_framework(); @@ -1791,12 +1815,13 @@

${suggestion.title}

// add orcid ids $('.authors-affiliations').find('.author').each(function(i, el) { var orcid_id = front_matter.authors[i].orcidID; + var author_name = front_matter.authors[i].author if (orcid_id) { var a = $(''); a.attr('href', 'https://orcid.org/' + orcid_id); var img = $(''); img.addClass('orcid-id'); - img.attr('alt', 'ORCID ID'); + img.attr('alt', author_name ? 'ORCID ID for ' + author_name : 'ORCID ID'); img.attr('src','data:image/png;base64,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'); a.append(img); $(this).append(a); @@ -2450,7 +2475,7 @@

${suggestion.title}

color: var(--hover-color, white); } - + @@ -2487,6 +2512,7 @@

${suggestion.title}

2020 2021 2022 +2023
☰ @@ -2499,6 +2525,7 @@

${suggestion.title}

R Advent Of Code

+

Emil Hvitfeldt’s solutions

@@ -2533,6 +2560,7 @@

Completion

2020 2021 2022 +2023 @@ -2546,6 +2574,7 @@

Completion

** ** ** +** 2 @@ -2557,6 +2586,7 @@

Completion

** ** ** + 3 @@ -2568,6 +2598,7 @@

Completion

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Completion

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Completion

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Completion

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Completion

** ** ** + 8 @@ -2623,17 +2658,19 @@

Completion

** ** ** + 9 ** ** -* + ** ** + 10 @@ -2644,6 +2681,7 @@

Completion

** ** +* @@ -2656,6 +2694,7 @@

Completion

** ** + 12 @@ -2667,6 +2706,7 @@

Completion

** ** + 13 @@ -2678,6 +2718,7 @@

Completion

** ** + 14 @@ -2689,6 +2730,7 @@

Completion

* ** + 15 @@ -2700,6 +2742,7 @@

Completion

* + 16 @@ -2711,6 +2754,7 @@

Completion

** + 17 @@ -2722,6 +2766,7 @@

Completion

** + 18 @@ -2733,6 +2778,7 @@

Completion

** + 19 @@ -2744,6 +2790,7 @@

Completion

** + 20 @@ -2755,6 +2802,7 @@

Completion

** + 21 @@ -2766,6 +2814,7 @@

Completion

** + 22 @@ -2777,6 +2826,7 @@

Completion

** + 23 @@ -2788,6 +2838,7 @@

Completion

** + 24 @@ -2799,6 +2850,7 @@

Completion

** + 25 @@ -2810,6 +2862,7 @@

Completion

* + diff --git a/docs/search.json b/docs/search.json index 72c690a..f73cbd2 100644 --- a/docs/search.json +++ b/docs/search.json @@ -5,64 +5,71 @@ "title": "My 2015 Solutions", "author": [], "contents": "\n\n\n\n\n\nDay 1\nPart 1\n\n\ninput <- readLines(\"2015/01-input\")\nchars <- strsplit(input, \"\")[[1]]\n\nkey <- c(\"(\" = 1, \")\" = -1)\n\nsum(key[chars])\n\n\n\n[1] 74\n0.003 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/01-input\")\nchars <- strsplit(input, \"\")[[1]]\n\nkey <- c(\"(\" = 1, \")\" = -1)\n\nmin(which(cumsum(key[chars]) < 0))\n\n\n\n[1] 1795\n0.004 sec elapsed\n\nDay 2\nPart 1\n\n\ninput <- readLines(\"2015/02-input\")\n\nchars <- strsplit(input, \"x\")\n\npackage_surface <- function(x) {\n x <- as.numeric(x)\n side <- x[1] * x[2]\n front <- x[1] * x[3]\n top <- x[2] * x[3]\n\n sum(2 * c(side, front, top), min(side, front, top))\n}\n\nsum(vapply(chars, package_surface, numeric(1)))\n\n\n\n[1] 1606483\n0.024 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/02-input\")\n\nchars <- strsplit(input, \"x\")\n\nribbon_length <- function(x) {\n x <- as.numeric(x)\n short_sides <- sort(x)[1:2]\n sum(short_sides) * 2 + prod(x)\n}\n\nsum(vapply(chars, ribbon_length, numeric(1)))\n\n\n\n[1] 3842356\n0.115 sec elapsed\n\nDay 3\nPart 1\n\n\ninput <- readLines(\"2015/03-input\")\n\nchars <- strsplit(input, \"\")[[1]]\n\nx_key <- c(\"^\" = 0, \"v\" = 0, \">\" = 1, \"<\" = -1)\ny_key <- c(\"^\" = 1, \"v\" = -1, \">\" = 0, \"<\" = 0)\n\npath <- data.frame(\n x = cumsum(x_key[chars]),\n y = cumsum(y_key[chars])\n)\n\nnrow(unique(path))\n\n\n\n[1] 2565\n0.013 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/03-input\")\n\nchars <- strsplit(input, \"\")[[1]]\n\npath_santa <- data.frame(\n x = cumsum(x_key[chars][seq_along(chars) %% 2 == 1]),\n y = cumsum(y_key[chars][seq_along(chars) %% 2 == 1])\n)\n\npath_robosanta <- data.frame(\n x = cumsum(x_key[chars][seq_along(chars) %% 2 == 0]),\n y = cumsum(y_key[chars][seq_along(chars) %% 2 == 0])\n)\n\nnrow(unique(rbind(path_santa, path_robosanta)))\n\n\n\n[1] 2639\n0.016 sec elapsed\n\nDay 4\nPart 1\n\n\ninput <- \"ckczppom\"\nnumber <- seq_len(1000000)\n\nmd5 <- digest::getVDigest()\n\nhash <- vapply(\n paste0(input, number),\n md5,\n FUN.VALUE = character(1),\n serialize = FALSE\n)\n\nwhich(substr(hash, 1, 5) == \"00000\")\n\n\n\nckczppom117946 \n 117946 \n10.485 sec elapsed\n\nPart 2\n\n\ninput <- \"ckczppom\"\nnumber <- seq(3000000, 4000000)\n\nmd5 <- digest::getVDigest()\n\nhash <- vapply(\n paste0(input, number),\n md5,\n FUN.VALUE = character(1),\n serialize = FALSE\n)\n\nwhich(substr(hash, 1, 6) == \"000000\")\n\n\n\nckczppom3938038 \n 938039 \n11.336 sec elapsed\n\nDay 5\nPart 1\n\n\ninput <- readLines(\"2015/05-input\")\n\ncon1 <- stringr::str_count(input, \"[aeiou]\") >= 3\n\nfind_repeat <- function(x) {\n any(rle(x)$lengths > 1)\n}\n\ncon2 <- vapply(strsplit(input, \"\"), find_repeat, logical(1))\ncon3 <- !(grepl(\"ab\", input)) &\n !(grepl(\"cd\", input)) &\n !(grepl(\"pq\", input)) &\n !(grepl(\"xy\", input))\n\nsum(con1 & con2 & con3)\n\n\n\n[1] 236\n0.023 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/05-input\")\n\npairs <- tokenizers::tokenize_character_shingles(input, n = 2)\n\nx <- pairs[[1]]\n\ncon1_fun <- function(x) {\n pairs <- names(which(table(x)>1))\n\n if (length(pairs) == 0) return(FALSE)\n\n for (i in seq_along(pairs)) {\n if (any(diff(which(pairs[i] == x)) > 1)) return(TRUE)\n }\n\n FALSE\n}\n\ncon1 <- vapply(pairs, con1_fun, FUN.VALUE = logical(1))\n\ntriplets <- tokenizers::tokenize_character_shingles(input, n = 3)\n\ncon2_fun <- function(x) {\n any(substr(x, 1, 1) == substr(x, 3, 3))\n}\n\ncon2 <- vapply(triplets, con2_fun, FUN.VALUE = logical(1))\n\nsum(con1 & con2)\n\n\n\n[1] 50\n0.765 sec elapsed\n\nDay 6\nPart 1\n\n\ninput <- readLines(\"2015/06-input\")\n\nmat <- matrix(FALSE, 1000, 1000)\n\nfor (direction in input) {\n coord <- stringr::str_extract_all(direction, \"[0-9]+\")[[1]]\n coord <- as.numeric(coord) + 1\n\n command <- stringr::str_extract(direction, \"(turn on|toggle|turn off)\")\n\n x_range <- coord[1]:coord[3]\n y_range <- coord[2]:coord[4]\n\n if (command == \"toggle\") {\n mat[x_range, y_range] <-!mat[x_range, y_range]\n } else if (command == \"turn on\") {\n mat[x_range, y_range] <- TRUE\n } else if (command == \"turn off\") {\n mat[x_range, y_range] <- FALSE\n }\n}\n\nsum(mat)\n\n\n\n[1] 569999\n0.178 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/06-input\")\n\nmat <- matrix(0, 1000, 1000)\n\nfor (direction in input) {\n coord <- stringr::str_extract_all(direction, \"[0-9]+\")[[1]]\n coord <- as.numeric(coord) + 1\n\n command <- stringr::str_extract(direction, \"(turn on|toggle|turn off)\")\n\n x_range <- coord[1]:coord[3]\n y_range <- coord[2]:coord[4]\n\n if (command == \"toggle\") {\n mat[x_range, y_range] <- mat[x_range, y_range] + 2\n } else if (command == \"turn on\") {\n mat[x_range, y_range] <- mat[x_range, y_range] + 1\n } else if (command == \"turn off\") {\n mat[x_range, y_range] <- pmax(mat[x_range, y_range] - 1, 0)\n }\n}\n\nsum(mat)\n\n\n\n[1] 17836115\n0.97 sec elapsed\n\nDay 7\nPart 1\n\n\nlibrary(magrittr)\nlibrary(stringr)\n\ninput <- readLines(\"2015/07-input\")\n\nint_2_16 <- function(x) {\n as.logical(intToBits(x)[1:16])\n}\n\nint_2_16_rev <- function(x) {\n sum(2 ^ (0:15) * x)\n}\n\n`%AND%` <- function(x, y) {\n int_2_16_rev(int_2_16(x) & int_2_16(y))\n}\n\n`%OR%` <- function(x, y) {\n int_2_16_rev(int_2_16(x) | int_2_16(y))\n}\n\n`%LSHIFT%` <- function(x, y) {\n int_2_16_rev(c(rep(FALSE, y), int_2_16(x)[seq(1, 16 - y)]))\n}\n\n`%RSHIFT%` <- function(x, y) {\n int_2_16_rev(c(int_2_16(x)[seq(y + 1, 16)], rep(FALSE, y)))\n}\n\n`%NOT%` <- function(temp, x) {\n int_2_16_rev(!int_2_16(x))\n}\n\neval_fun <- function(x) {\n as.character(eval(parse(text = x)))\n}\n\ninstructions <- strsplit(input, \" -> \")\n\nlhs <- purrr::map_chr(instructions, ~.x[1]) %>%\n str_replace_all(\n c(\n \"OR\" = \"%OR%\",\n \"AND\" = \"%AND%\",\n \"RSHIFT\" = \"%RSHIFT%\",\n \"LSHIFT\" = \"%LSHIFT%\",\n \"NOT\" = \"1 %NOT%\"\n )\n ) %>%\n paste0(\"( \", ., \" )\")\n\nlhs[which(str_detect(lhs, \"^\\\\( [0-9]* \\\\)$\"))] <- str_extract(\n lhs[which(str_detect(lhs, \"^\\\\( [0-9]* \\\\)$\"))],\n \"[0-9]+\"\n)\n\nrhs <- purrr::map_chr(instructions, ~.x[2])\n\nrepeat {\n numbers_ind <- which(str_detect(lhs, \"^[0-9]*$\"))\n\n if (length(numbers_ind) == length(lhs)) break\n\n replacement <- str_extract(lhs[numbers_ind], \"[0-9]+\")\n names(replacement) <- paste0(\" \", rhs[numbers_ind], \" \")\n\n lhs <- lhs %>%\n str_replace_all(replacement)\n\n can_evaluate <- !lhs %>% str_detect(\"[a-z]+\")\n\n lhs[can_evaluate] <- purrr::map_chr(lhs[can_evaluate], eval_fun)\n}\n\nlhs[rhs == \"a\"]\n\n\n\n[1] \"956\"\n5.678 sec elapsed\n\nPart 2\n\n\nlibrary(magrittr)\nlibrary(stringr)\n\ninput <- readLines(\"2015/07-input\")\n\nint_2_16 <- function(x) {\n as.logical(intToBits(x)[1:16])\n}\n\nint_2_16_rev <- function(x) {\n sum(2 ^ (0:15) * x)\n}\n\n`%AND%` <- function(x, y) {\n int_2_16_rev(int_2_16(x) & int_2_16(y))\n}\n\n`%OR%` <- function(x, y) {\n int_2_16_rev(int_2_16(x) | int_2_16(y))\n}\n\n`%LSHIFT%` <- function(x, y) {\n int_2_16_rev(c(rep(FALSE, y), int_2_16(x)[seq(1, 16 - y)]))\n}\n\n`%RSHIFT%` <- function(x, y) {\n int_2_16_rev(c(int_2_16(x)[seq(y + 1, 16)], rep(FALSE, y)))\n}\n\n`%NOT%` <- function(temp, x) {\n int_2_16_rev(!int_2_16(x))\n}\n\neval_fun <- function(x) {\n as.character(eval(parse(text = x)))\n}\n\n\ninstructions <- strsplit(input, \" -> \")\n\nlhs <- purrr::map_chr(instructions, ~.x[1]) %>%\n str_replace_all(\n c(\n \"OR\" = \"%OR%\",\n \"AND\" = \"%AND%\",\n \"RSHIFT\" = \"%RSHIFT%\",\n \"LSHIFT\" = \"%LSHIFT%\",\n \"NOT\" = \"1 %NOT%\"\n )\n ) %>%\n paste0(\"( \", ., \" )\")\n\nlhs[which(str_detect(lhs, \"^\\\\( [0-9]* \\\\)$\"))] <- str_extract(\n lhs[which(str_detect(lhs, \"^\\\\( [0-9]* \\\\)$\"))],\n \"[0-9]+\"\n)\n\nrhs <- purrr::map_chr(instructions, ~.x[2])\n\nlhs[rhs == \"b\"] <- \"956\"\n\nrepeat {\n numbers_ind <- which(str_detect(lhs, \"^[0-9]*$\"))\n\n if (length(numbers_ind) == length(lhs)) break\n\n replacement <- str_extract(lhs[numbers_ind], \"[0-9]+\")\n names(replacement) <- paste0(\" \", rhs[numbers_ind], \" \")\n\n lhs <- lhs %>%\n str_replace_all(replacement)\n\n can_evaluate <- !lhs %>% str_detect(\"[a-z]+\")\n\n lhs[can_evaluate] <- purrr::map_chr(lhs[can_evaluate], eval_fun)\n}\n\nlhs[rhs == \"a\"]\n\n\n\n[1] \"40149\"\n5.447 sec elapsed\n\nDay 8\nPart 1\n\n\ninput <- readLines(\"2015/08-input\")\n\nsum(purrr::map_int(input, nchar)) -\n sum(purrr::map_int(input, ~nchar(eval(parse(text = .x)), type = \"bytes\")))\n\n\n\n[1] 1333\n0.007 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/08-input\")\n\nsum(purrr::map_int(stringi::stri_escape_unicode(input), nchar) + 2) -\n sum(purrr::map_int(input, nchar))\n\n\n\n[1] 2046\n0.004 sec elapsed\n\nDay 9\nPart 1\n\n\ninput <- readLines(\"2015/09-input\")\n\nlibrary(dplyr)\nlibrary(tidyr)\n\ninput_tbl <- tibble(input) %>%\n separate(input, c(\"destinations\", \"distance\"), \" = \", convert = TRUE) %>%\n separate(destinations, c(\"to\", \"from\"), \" to \")\n\nall_paths <- input_tbl %>%\n select(-distance) %>%\n unlist() %>%\n unique() %>%\n combinat::permn()\n\ndistances <- bind_rows(\n input_tbl,\n input_tbl %>% rename(from = to, to = from)\n)\n\ncalc_distance <- function(x) {\n tibble(\n from = x[-length(x)],\n to = x[-1]\n ) %>%\n left_join(distances, by = c(\"from\", \"to\")) %>%\n summarise(sum = sum(distance)) %>%\n pull(sum)\n}\n\npurrr::map_int(all_paths, calc_distance) %>%\n min()\n\n\n\n[1] 207\n185.082 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/09-input\")\n\nlibrary(dplyr)\nlibrary(tidyr)\n\ninput_tbl <- tibble(input) %>%\n separate(input, c(\"destinations\", \"distance\"), \" = \", convert = TRUE) %>%\n separate(destinations, c(\"to\", \"from\"), \" to \")\n\nall_paths <- input_tbl %>%\n select(-distance) %>%\n unlist() %>%\n unique() %>%\n combinat::permn()\n\ndistances <- bind_rows(\n input_tbl,\n input_tbl %>% rename(from = to, to = from)\n)\n\ncalc_distance <- function(x) {\n tibble(\n from = x[-length(x)],\n to = x[-1]\n ) %>%\n left_join(distances, by = c(\"from\", \"to\")) %>%\n summarise(sum = sum(distance)) %>%\n pull(sum)\n}\n\npurrr::map_int(all_paths, calc_distance) %>%\n max()\n\n\n\n[1] 804\n181.645 sec elapsed\n\nDay 10\nPart 1\n\n\ninput <- \"1113122113\"\n\nlook_and_say <- function(x) {\n x <- strsplit(x, \"\")[[1]]\n x <- rle(x)\n x <- unlist(x)\n x <- matrix(x, nrow = 2, byrow = TRUE)\n x <- as.numeric(x)\n paste0(x, collapse = \"\")\n}\n\nfor (i in seq_len(40)) {\n input <- look_and_say(input)\n}\n\nnchar(input)\n\n\n\n[1] 360154\n1.364 sec elapsed\n\nPart 2\n\n\ninput <- \"1113122113\"\n\nlook_and_say <- function(x) {\n x <- strsplit(x, \"\")[[1]]\n x <- rle(x)\n x <- unlist(x)\n x <- matrix(x, nrow = 2, byrow = TRUE)\n x <- as.numeric(x)\n paste0(x, collapse = \"\")\n}\n\nfor (i in seq_len(50)) {\n input <- look_and_say(input)\n}\nnchar(input)\n\n\n\n[1] 5103798\n27.016 sec elapsed\n\nDay 11\nPart 1\n\n\ninput <- \"hxbxwxba\"\n\npass <- match(strsplit(input, \"\")[[1]], letters)\n\nincrement0 <- function(x, i) {\n\n x[i] <- x[i] + 1\n\n if (any(x %in% c(9, 15, 12))) {\n\n which_min <- min(which(x %in% c(9, 15, 12)))\n\n x[which_min] <- x[which_min] + 1\n if (which_min < 8) {\n x[seq(min(which_min + 1, 8), 8)] <- 1\n }\n }\n\n if (x[i] == 27) {\n\n x[i] <- 1\n if (i > 1) {\n x <- increment0(x, i - 1)\n }\n\n }\n x\n}\n\nchecker <- function(x) {\n rle1 <- rle(diff(x))\n\n check1 <- any(rle1$lengths[rle1$values == 1] >= 2)\n check2 <- all(!c(9, 15, 12) %in% x)\n check3 <- sum(rle(x)$lengths >= 2) >= 2\n\n check1 & check2 & check3\n}\n\nrepeat {\n pass <- increment0(pass, 8)\n if (checker(pass)) break\n}\n\npaste0(letters[pass], collapse = \"\")\n\n\n\n[1] \"hxbxxyzz\"\n0.576 sec elapsed\n\nPart 2\n\n\ninput <- \"hxbxxyzz\" # My answer from Part 1\n\npass <- match(strsplit(input, \"\")[[1]], letters)\n\nincrement0 <- function(x, i) {\n\n x[i] <- x[i] + 1\n\n if (any(x %in% c(9, 15, 12))) {\n\n which_min <- min(which(x %in% c(9, 15, 12)))\n\n x[which_min] <- x[which_min] + 1\n if (which_min < 8) {\n x[seq(min(which_min + 1, 8), 8)] <- 1\n }\n }\n\n if (x[i] == 27) {\n\n x[i] <- 1\n if (i > 1) {\n x <- increment0(x, i - 1)\n }\n\n }\n x\n}\n\nchecker <- function(x) {\n rle1 <- rle(diff(x))\n\n check1 <- any(rle1$lengths[rle1$values == 1] >= 2)\n check2 <- all(!c(9, 15, 12) %in% x)\n check3 <- sum(rle(x)$lengths >= 2) >= 2\n\n check1 & check2 & check3\n}\n\nruns <- 0\n\nrepeat {\n pass <- increment0(pass, 8)\n if (checker(pass)) break\n}\n\npaste0(letters[pass], collapse = \"\")\n\n\n\n[1] \"hxcaabcc\"\n25.853 sec elapsed\n\nDay 12\nPart 1\n\n\ninput <- readLines(\"2015/12_input\")\nnumbers <- stringr::str_extract_all(input, pattern = \"-{0,1}[0-9]+\")[[1]]\n\nsum(as.numeric(numbers))\n\n\n\n[1] 156366\n0.004 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/12_input\")\n\nlibrary(stringr)\n\ncheck_red <- function(x) {\n if (length(x) > 1) return(FALSE)\n\n if (is.list(x)) return(FALSE)\n\n x == \"red\"\n}\n\nparse_red <- function(input) {\n repeat {\n end <- str_locate(input, \"\\\\}\")[1, 1]\n\n if (all(is.na(end))) break\n\n starts <- str_locate_all(input, \"\\\\{\")[[1]][, 1]\n start <- max(starts[starts < end])\n\n extraction <- str_sub(input, start, end)\n\n json <- jsonlite::parse_json(extraction)\n\n if (!any(purrr::map_lgl(json, check_red))) {\n res <- str_extract_all(extraction, \"-{0,1}[0-9]+\")[[1]]\n res <- sum(as.numeric(res), na.rm = TRUE)\n } else {\n res <- 0\n }\n\n str_sub(input, start, end) <- res\n }\n\n res <- str_extract_all(input, \"-{0,1}[0-9]+\")[[1]]\n res <- sum(as.numeric(res), na.rm = TRUE)\n res\n}\n\nparse_red(input)\n\n\n\n[1] 96852\n0.192 sec elapsed\n\nDay 13\nPart 1\n\n\ninput <- readLines(\"2015/13-input\")\n\nlibrary(dplyr)\nlibrary(stringr)\n\nfrom <- str_extract(input, \"\\\\w*\")\nto <- str_extract(input, \"\\\\w*\\\\.$\")\nto <- str_remove(to, \"\\\\.\")\nhappiness <- as.numeric(str_extract(input, \"[0-9]+\"))\nnegative <- str_detect(input, \"lose\")\n\ninput_df <- data.frame(\n from,\n to,\n happiness = happiness * ifelse(negative, -1, 1)\n)\n\nall_perms <- combinat::permn(unique(from), m = length(unique(from)))\n\ntable_happiness <- function(x) {\n seq_x <- seq_along(x)\n len_x <- length(x)\n\n data.frame(\n from = c(x, x),\n to = c(x[c(seq_x[-1], 1)], x[c(len_x, seq_x[-len_x])])\n ) %>%\n left_join(input_df, by = c(\"from\", \"to\")) %>%\n summarize(sum = sum(happiness, na.rm = TRUE)) %>%\n pull(sum)\n}\n\nperm_values <- vapply(all_perms, table_happiness, numeric(1))\nmax(perm_values)\n\n\n\n[1] 664\n112.873 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/13-input\")\n\nlibrary(dplyr)\nlibrary(stringr)\n\nfrom <- str_extract(input, \"\\\\w*\")\nto <- str_extract(input, \"\\\\w*\\\\.$\")\nto <- str_remove(to, \"\\\\.\")\nhappiness <- as.numeric(str_extract(input, \"[0-9]+\"))\nnegative <- str_detect(input, \"lose\")\n\ninput_df <- data.frame(\n from,\n to,\n happiness = happiness * ifelse(negative, -1, 1)\n)\n\ntable_happiness <- function(x) {\n seq_x <- seq_along(x)\n len_x <- length(x)\n\n data.frame(\n from = c(x, x),\n to = c(x[c(seq_x[-1], 1)], x[c(len_x, seq_x[-len_x])])\n ) %>%\n left_join(input_df, by = c(\"from\", \"to\")) %>%\n summarize(sum = sum(happiness, na.rm = TRUE)) %>%\n pull(sum)\n}\n\nnew_from <- c(unique(from), \"me\")\nnew_perms <- combinat::permn(unique(new_from), m = length(unique(new_from)))\nperm_values <- vapply(new_perms, table_happiness, numeric(1))\nmax(perm_values)\n\n\n\n[1] 640\n968.753 sec elapsed\n\nDay 14\nPart 1\n\n\ninput <- readLines(\"2015/14-input\")\n\nlibrary(stringr)\nlibrary(purrr)\n\nflying_distance <- function(speed, speed_dur, rest_dur, time) {\n sum(rep(c(rep(speed, speed_dur), rep(0, rest_dur)), length.out = time))\n}\n\nnumbers <- str_extract_all(input, \"[0-9]+\")\nnumbers <- map(numbers, as.numeric)\nnames(numbers) <- str_extract(input, \"\\\\w*\")\n\nditances <- map_dbl(numbers, ~ flying_distance(.x[1], .x[2], .x[3], 2503))\nsort(ditances, decreasing = TRUE)[1]\n\n\n\nCupid \n 2696 \n0.019 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/14-input\")\n\nlibrary(stringr)\nlibrary(purrr)\nlibrary(dplyr)\n\nflying_distance_cumsum <- function(speed, speed_dur, rest_dur, time) {\n cumsum(rep(c(rep(speed, speed_dur), rep(0, rest_dur)), length.out = time))\n}\n\nnumbers <- str_extract_all(input, \"[0-9]+\")\nnumbers <- map(numbers, as.numeric)\nnames(numbers) <- str_extract(input, \"\\\\w*\")\n\nditances <- map2_dfr(\n numbers,\n names(numbers),\n ~ data.frame(\n location = flying_distance_cumsum(.x[1], .x[2], .x[3], 2503),\n time = seq_len(2503),\n reindeer = .y\n )\n)\n\nditances %>%\n group_by(time) %>%\n slice_max(location, n = 1) %>%\n ungroup() %>%\n count(reindeer, sort = TRUE)\n\n\n\n# A tibble: 7 × 2\n reindeer n\n \n1 Rudolph 1084\n2 Cupid 838\n3 Donner 277\n4 Dancer 199\n5 Comet 121\n6 Prancer 24\n7 Vixen 13\n0.39 sec elapsed\n\nDay 15\nPart 1\n\n\nlibrary(dplyr)\n\n# Hand imported input\nvalues <- list(\n Sprinkles = c(capacity = 5, durability =-1, flavor = 0, texture = 0, calories = 5),\n PeanutButter = c(capacity =-1, durability = 3, flavor = 0, texture = 0, calories = 1),\n Frosting = c(capacity = 0, durability =-1, flavor = 4, texture = 0, calories = 6),\n Sugar = c(capacity =-1, durability = 0, flavor = 0, texture = 2, calories = 8)\n)\n\nfourway_sum <- function(n) {\n expand.grid(Sprinkles = 0:100,\n PeanutButter = 0:100,\n Frosting = 0:100) %>%\n filter(Sprinkles + PeanutButter + Frosting == n) %>%\n mutate(Sugar = 100 - n)\n}\n\ncombinations <- purrr::map_dfr(0:100, fourway_sum)\n\nbatter_mizer <- function(Sprinkles, PeanutButter, Frosting, Sugar) {\n sum <- values[[\"Sprinkles\"]] * Sprinkles +\n values[[\"PeanutButter\"]] * PeanutButter +\n values[[\"Frosting\"]] * Frosting +\n values[[\"Sugar\"]] * Sugar\n\n sum <- pmax(sum, 0)\n\n prod(sum[1:4])\n}\n\nres <- purrr::pmap_dbl(combinations, batter_mizer)\nmax(res)\n\n\n\n[1] 13882464\n10.841 sec elapsed\n\nPart 2\n\n\nlibrary(dplyr)\n\n# Hand imported input\nvalues <- list(\n Sprinkles = c(capacity = 5, durability =-1, flavor = 0, texture = 0, calories = 5),\n PeanutButter = c(capacity =-1, durability = 3, flavor = 0, texture = 0, calories = 1),\n Frosting = c(capacity = 0, durability =-1, flavor = 4, texture = 0, calories = 6),\n Sugar = c(capacity =-1, durability = 0, flavor = 0, texture = 2, calories = 8)\n)\n\nbatter_mizer_500_cal <- function(Sprinkles, PeanutButter, Frosting, Sugar) {\n sum <- values[[\"Sprinkles\"]] * Sprinkles +\n values[[\"PeanutButter\"]] * PeanutButter +\n values[[\"Frosting\"]] * Frosting +\n values[[\"Sugar\"]] * Sugar\n\n sum <- pmax(sum, 0)\n\n if (sum[5] != 500) return(0)\n\n prod(sum[1:4])\n}\n\nres <- purrr::pmap_dbl(combinations, batter_mizer_500_cal)\nmax(res)\n\n\n\n[1] 11171160\n3.21 sec elapsed\n\nDay 16\nPart 1\n\n\nlibrary(magrittr)\nlibrary(stringr)\nlibrary(dplyr)\nlibrary(tidyr)\n\ninput <- readLines(\"2015/16-input\")\n\nsues <- input %>%\n str_remove(\"^Sue [0-9]*: \")\n\nthings <- sues %>%\n str_remove_all(\": [0-9]*\") %>%\n str_split(\", \") %>%\n unlist()\n\nvalues <- sues %>%\n str_extract_all(\"[0-9]+\") %>%\n unlist() %>%\n as.numeric()\n\ntibble(sue = rep(seq_len(length(input)), each = 3),\n things, values) %>%\n pivot_wider(names_from = things,values_from = values) %>%\n filter(\n children == 3 | is.na(children),\n cats == 7 | is.na(cats),\n samoyeds == 2 | is.na(samoyeds),\n pomeranians == 3 | is.na(pomeranians),\n akitas == 0 | is.na(akitas),\n vizslas == 0 | is.na(vizslas),\n goldfish == 5 | is.na(goldfish),\n trees == 3 | is.na(trees),\n cars == 2 | is.na(cars),\n perfumes == 1 | is.na(perfumes)\n )\n\n\n\n# A tibble: 1 × 11\n sue goldfish trees akitas cars perfumes vizslas children cats\n \n1 103 5 NA NA 2 1 NA NA NA\n# … with 2 more variables: pomeranians , samoyeds \n0.029 sec elapsed\n\nPart 2\n\n\nlibrary(magrittr)\nlibrary(stringr)\nlibrary(dplyr)\nlibrary(tidyr)\n\ninput <- readLines(\"2015/16-input\")\n\nsues <- input %>%\n str_remove(\"^Sue [0-9]*: \")\n\nthings <- sues %>%\n str_remove_all(\": [0-9]*\") %>%\n str_split(\", \") %>%\n unlist()\n\nvalues <- sues %>%\n str_extract_all(\"[0-9]+\") %>%\n unlist() %>%\n as.numeric()\n\ntibble(sue = rep(seq_len(length(input)), each = 3),\n things, values) %>%\n pivot_wider(names_from = things,values_from = values) %>%\n filter(\n children == 3 | is.na(children),\n cats > 7 | is.na(cats),\n samoyeds == 2 | is.na(samoyeds),\n pomeranians < 3 | is.na(pomeranians),\n akitas == 0 | is.na(akitas),\n vizslas == 0 | is.na(vizslas),\n goldfish < 5 | is.na(goldfish),\n trees > 3 | is.na(trees),\n cars == 2 | is.na(cars),\n perfumes == 1 | is.na(perfumes)\n )\n\n\n\n# A tibble: 1 × 11\n sue goldfish trees akitas cars perfumes vizslas children cats\n \n1 405 NA 8 NA 2 1 NA NA NA\n# … with 2 more variables: pomeranians , samoyeds \n0.023 sec elapsed\n\nDay 17\nPart 1\n\n\ninput <- readLines(\"2015/17-input\")\n\ninput <- as.numeric(input)\n\nall_sets <- expand.grid(purrr::map(seq_along(input), ~c(F, T)))\n\nmatrix_vals <- t(t(as.matrix(all_sets)) * input)\n\nsum(rowSums(matrix_vals) == 150)\n\n\n\n[1] 654\n1.788 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/17-input\")\n\ninput <- as.numeric(input)\n\nall_sets <- expand.grid(purrr::map(seq_along(input), ~c(F, T)))\n\nmatrix_vals <- t(t(as.matrix(all_sets)) * input)\n\nnum_containers <- rowSums(matrix_vals[rowSums(matrix_vals) == 150, ] > 0)\n\ntable(num_containers)[1]\n\n\n\n 4 \n57 \n1.604 sec elapsed\n\nDay 18\nPart 1\n\n\ninput <- readLines(\"2015/18-input\")\n\nlibrary(magrittr)\n\nmat <- strsplit(input, \"\") %>%\n purrr::map(~.x == \"#\") %>%\n Reduce(rbind, .)\n\nrownames(mat) <- NULL\n\nmat_update <- matrix(NA, nrow = nrow(mat), ncol = ncol(mat))\n\nmax_row <- nrow(mat)\nmax_col <- ncol(mat)\n\nfor (i in seq_len(100)) {\n for (row in seq_len(nrow(mat_update))) {\n for (col in seq_len(ncol(mat_update))) {\n\n keep <- mat[row, col]\n\n mat[row, col] <- NA\n\n neighbors <- sum(na.rm = TRUE,\n mat[\n seq(max(row - 1, 1), min(row + 1, max_row)),\n seq(max(col - 1, 1), min(col + 1, max_col))\n ]\n )\n\n if (keep) {\n mat_update[row, col] <- neighbors %in% c(2, 3)\n } else {\n mat_update[row, col] <- neighbors == 3\n }\n\n mat[row, col] <- keep\n\n }\n }\n\n mat <- mat_update\n}\n\nsum(mat)\n\n\n\n[1] 814\n13.285 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2015/18-input\")\nlibrary(magrittr)\n\nmat <- strsplit(input, \"\") %>%\n purrr::map(~.x == \"#\") %>%\n Reduce(rbind, .)\n\nrownames(mat) <- NULL\n\nmat_update <- matrix(TRUE, nrow = nrow(mat), ncol = ncol(mat))\n\nmax_row <- nrow(mat)\nmax_col <- ncol(mat)\n\nmat[1, 1] <- TRUE\nmat[1, max_col] <- TRUE\nmat[max_row, 1] <- TRUE\nmat[max_row, max_col] <- TRUE\n\nfor (i in seq_len(100)) {\n for (row in seq_len(nrow(mat_update))) {\n for (col in seq_len(ncol(mat_update))) {\n\n if ((row == 1 & col == 1) |\n (row == 1 & col == max_col) |\n (row == max_row & col == 1) |\n (row == max_row & col == max_col)) next\n\n keep <- mat[row, col]\n\n mat[row, col] <- NA\n\n neighbors <- sum(na.rm = TRUE,\n mat[\n seq(max(row - 1, 1), min(row + 1, max_row)),\n seq(max(col - 1, 1), min(col + 1, max_col))\n ]\n )\n\n if (keep) {\n mat_update[row, col] <- neighbors %in% c(2, 3)\n } else {\n mat_update[row, col] <- neighbors == 3\n }\n\n mat[row, col] <- keep\n\n }\n }\n\n mat <- mat_update\n}\n\nsum(mat)\n\n\n\n[1] 924\n15.308 sec elapsed\n\nDay 19\nPart 1\n\n\ninput <- readLines(\"2015/19-input\")\n\nmolecules <- input[length(input)]\n\nkey <- input[-length(input)]\nkey <- key[key != \"\"]\n\nlibrary(dplyr)\nlibrary(tidyr)\nlibrary(stringr)\n\nkey_tbl <- tibble(key) %>%\n separate(key, c(\"from\", \"to\"), \" => \")\n\nkeys <- split(key_tbl$to, key_tbl$from)\n\nres <- character()\n\nfor (k in seq_along(keys)) {\n k <- keys[k]\n\n locs <- str_locate_all(molecules, names(k))[[1]]\n\n for (i in seq_len(nrow(locs))) {\n new_mole <- molecules\n\n str_sub(new_mole, locs[i, \"start\"], locs[i, \"end\"]) <- k[[1]]\n\n res <- c(res, new_mole)\n }\n}\n\nlength(unique(res))\n\n\n\n[1] 535\n0.013 sec elapsed\n\nPart 2\n\n\nlibrary(dplyr)\nlibrary(tidyr)\nlibrary(stringr)\n\ninput <- readLines(\"2015/19-input\")\n\nmolecules <- input[length(input)]\n\nkey <- input[-length(input)]\nkey <- key[key != \"\"]\n\nkey_tbl <- tibble(key) %>%\n separate(key, c(\"from\", \"to\"), \" => \")\n\nrev_keys <- split(key_tbl$from, key_tbl$to)\ncount <- 0\n\nrepeat {\n if (molecules == \"e\") break\n\n r_key <- sample(rev_keys, 1)\n\n\n if (str_detect(molecules, names(r_key))) {\n count <- count + str_count(molecules, names(r_key))\n molecules <- str_replace_all(molecules, names(r_key), r_key[[1]])\n }\n\n}\n\ncount\n\n\n\n[1] 212\n0.023 sec elapsed\n\nDay 20\nPart 1\n\n\ninput <- 34000000\n\nlibrary(numbers)\n\ni <- 0\n\nrepeat {\n i <- i + 1\n if (sum(divisors(i)) * 10 >= input) break\n}\ni\n\n\n\n[1] 786240\n218.098 sec elapsed\n\nPart 2\n\n\ninput <- 34000000\n\nlibrary(numbers)\n\nregister <- numeric(input)\n\ni <- 0\n\nrepeat {\n i <- i + 1\n\n divs <- divisors(i)\n\n register[divs] <- register[divs] + 1\n\n if (sum((register[divs] <= 50) * divs) * 11 >= input) break\n\n}\ni\n\n\n\n[1] 831600\n230.441 sec elapsed\n\nDay 21\nPart 1\n\n\nweapon_tbl <- tibble::tribble(\n ~Cost, ~Damage, ~Armor,\n 8, 4, 0,\n 10, 5, 0,\n 25, 6, 0,\n 40, 7, 0,\n 74, 8, 0\n)\n\narmor_tbl <- tibble::tribble(\n ~Cost, ~Damage, ~Armor,\n 13, 0, 1,\n 31, 0, 2,\n 53, 0, 3,\n 75, 0, 4,\n 102, 0, 5,\n 0, 0, 0\n)\n\nring_tbl <- tibble::tribble(\n ~Cost, ~Damage, ~Armor,\n 25, 1, 0,\n 50, 2, 0,\n 100, 3, 0,\n 20, 0, 1,\n 40, 0, 2,\n 80, 0, 3,\n 0, 0, 0\n)\n\nrings <- rbind(as.data.frame(t(combn(7, 2))), c(7, 7))\nnames(rings) <- c(\"ring1\", \"ring2\")\n\noutfits <- tidyr::expand_grid(rings,\n weapon = 1:5,\n armor = 1:6)\n\nbattle <- function(player_atk, player_armor, player_hp = 100,\n boss_hp = 103, boss_atk = 9, boss_armor = 2) {\n repeat {\n damage <- max(player_atk - boss_armor, 1)\n boss_hp <- boss_hp - damage\n\n if (boss_hp <= 0) return(TRUE)\n\n damage <- max(boss_atk - player_armor, 1)\n player_hp <- player_hp - damage\n\n if (player_hp <= 0) return(FALSE)\n\n }\n}\n\npre_battle <- function(ring1, ring2, weapon, armor) {\n outfit <- dplyr::bind_rows(\n ring_tbl[c(ring1, ring2), ],\n weapon_tbl[weapon, ],\n armor_tbl[armor, ]\n )\n\n if (battle(sum(outfit$Damage), sum(outfit$Armor))) {\n return(sum(outfit$Cost))\n } else {\n return(NA)\n }\n}\n\nmin(purrr::pmap_dbl(outfits, pre_battle), na.rm = TRUE)\n\n\n\n[1] 121\n0.153 sec elapsed\n\nPart 2\n\n\nweapon_tbl <- tibble::tribble(\n ~Cost, ~Damage, ~Armor,\n 8, 4, 0,\n 10, 5, 0,\n 25, 6, 0,\n 40, 7, 0,\n 74, 8, 0\n)\n\narmor_tbl <- tibble::tribble(\n ~Cost, ~Damage, ~Armor,\n 13, 0, 1,\n 31, 0, 2,\n 53, 0, 3,\n 75, 0, 4,\n 102, 0, 5,\n 0, 0, 0\n)\n\nring_tbl <- tibble::tribble(\n ~Cost, ~Damage, ~Armor,\n 25, 1, 0,\n 50, 2, 0,\n 100, 3, 0,\n 20, 0, 1,\n 40, 0, 2,\n 80, 0, 3,\n 0, 0, 0\n)\n\nrings <- rbind(as.data.frame(t(combn(7, 2))), c(7, 7))\nnames(rings) <- c(\"ring1\", \"ring2\")\n\noutfits <- tidyr::expand_grid(rings,\n weapon = 1:5,\n armor = 1:6)\n\n\nbattle <- function(player_atk, player_armor, player_hp = 100,\n boss_hp = 103, boss_atk = 9, boss_armor = 2) {\n repeat {\n damage <- max(player_atk - boss_armor, 1)\n boss_hp <- boss_hp - damage\n\n if (boss_hp <= 0) return(TRUE)\n\n damage <- max(boss_atk - player_armor, 1)\n player_hp <- player_hp - damage\n\n if (player_hp <= 0) return(FALSE)\n\n }\n}\n\npre_battle <- function(ring1, ring2, weapon, armor) {\n outfit <- dplyr::bind_rows(\n ring_tbl[c(ring1, ring2), ],\n weapon_tbl[weapon, ],\n armor_tbl[armor, ]\n )\n\n if (battle(sum(outfit$Damage), sum(outfit$Armor))) {\n return(NA)\n } else {\n return(sum(outfit$Cost))\n }\n}\n\nmax(purrr::pmap_dbl(outfits, pre_battle), na.rm = TRUE)\n\n\n\n[1] 201\n0.16 sec elapsed\n\nDay 22\nDay 23\nPart 1\n\n\nlibrary(stringr)\nlibrary(magrittr)\nlibrary(bit64)\n\ninput <- readLines(\"2015/23-input\")\n\ncomputer <- function(a, b, input) {\n loc <- 1\n reg <- list(a = as.integer64(a), b = as.integer64(b))\n repeat {\n if (loc > length(input)) break\n ins <- stringr::str_sub(input[loc], 1, 3)\n\n if (ins == \"jio\") {\n parts <- str_remove(input[loc], \".{4}\") %>%\n str_split(\", \\\\+{0,1}\") %>%\n .[[1]]\n\n if (reg[[parts[1]]] == 1) {\n loc <- loc + as.numeric(parts[2])\n } else {\n loc <- loc + 1\n }\n\n } else if (ins == \"inc\") {\n regis_id <- str_remove(input[loc], \".{4}\")\n reg[[regis_id]] <-reg[[regis_id]] + 1\n loc <- loc + 1\n } else if (ins == \"tpl\") {\n\n regis_id <- str_remove(input[loc], \".{4}\")\n reg[[regis_id]] <- reg[[regis_id]] * 3\n loc <- loc + 1\n } else if (ins == \"jmp\") {\n offset <- str_remove(input[loc], \"jmp \\\\+{0,1}\")\n loc <- loc + as.numeric(offset)\n } else if (ins == \"jie\") {\n parts <- str_remove(input[loc], \".{4}\") %>%\n str_split(\", \\\\+{0,1}\") %>%\n .[[1]]\n\n if((reg[[parts[1]]] %% 2) == 0) {\n loc <- loc + as.numeric(parts[2])\n } else {\n loc <- loc + 1\n }\n } else if (ins == \"hlf\") {\n regis_id <- str_remove(input[loc], \".{4}\")\n reg[[regis_id]] <- reg[[regis_id]] / 2\n loc <- loc + 1\n }\n }\n\n reg$b\n}\n\ncomputer(0, 0, input)\n\n\n\ninteger64\n[1] 255\n0.24 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\nlibrary(magrittr)\nlibrary(bit64)\n\ninput <- readLines(\"2015/23-input\")\n\ncomputer <- function(a, b, input) {\n loc <- 1\n reg <- list(a = as.integer64(a), b = as.integer64(b))\n repeat {\n if (loc > length(input)) break\n ins <- stringr::str_sub(input[loc], 1, 3)\n\n if (ins == \"jio\") {\n parts <- str_remove(input[loc], \".{4}\") %>%\n str_split(\", \\\\+{0,1}\") %>%\n .[[1]]\n\n if (reg[[parts[1]]] == 1) {\n loc <- loc + as.numeric(parts[2])\n } else {\n loc <- loc + 1\n }\n\n } else if (ins == \"inc\") {\n regis_id <- str_remove(input[loc], \".{4}\")\n reg[[regis_id]] <-reg[[regis_id]] + 1\n loc <- loc + 1\n } else if (ins == \"tpl\") {\n\n regis_id <- str_remove(input[loc], \".{4}\")\n reg[[regis_id]] <- reg[[regis_id]] * 3\n loc <- loc + 1\n } else if (ins == \"jmp\") {\n offset <- str_remove(input[loc], \"jmp \\\\+{0,1}\")\n loc <- loc + as.numeric(offset)\n } else if (ins == \"jie\") {\n parts <- str_remove(input[loc], \".{4}\") %>%\n str_split(\", \\\\+{0,1}\") %>%\n .[[1]]\n\n if((reg[[parts[1]]] %% 2) == 0) {\n loc <- loc + as.numeric(parts[2])\n } else {\n loc <- loc + 1\n }\n } else if (ins == \"hlf\") {\n regis_id <- str_remove(input[loc], \".{4}\")\n reg[[regis_id]] <- reg[[regis_id]] / 2\n loc <- loc + 1\n }\n }\n\n reg$b\n}\n\ncomputer(1, 0, input)\n\n\n\ninteger64\n[1] 334\n0.296 sec elapsed\n\nDay 24\nPart 1\n\n\ninput <- as.numeric(readLines(\"2015/24-input\"))\n\ntotal <- sum(input) / 3\n\nsplit_vec <- function(input, total) {\n res <- list()\n for (i in seq_along(input)) {\n combs <- combn(input, i)\n colsum_combs <- colSums(combs)\n if (any(colsum_combs == total)) {\n res <- c(res, list(combs[, which(colsum_combs == total)]))\n break\n }\n }\n res\n}\n\nfirst_group <- split_vec(input, total)\n\nsplit_vec(setdiff(input, first_group[[1]][, 1]), total)\n\norder(apply(first_group[[1]], 2, prod))\n\nprod(first_group[[1]][, 1])\n\n\n\n[1] 10439961859\n1.104 sec elapsed\n\nPart 2\n\n\ninput <- as.numeric(readLines(\"2015/24-input\"))\n\ntotal <- sum(input) / 4\n\nsplit_vec <- function(input, total) {\n res <- list()\n for (i in seq_along(input)) {\n combs <- combn(input, i)\n colsum_combs <- colSums(combs)\n if (any(colsum_combs == total)) {\n res <- c(res, list(combs[, which(colsum_combs == total)]))\n break\n }\n }\n res\n}\n\nfirst_group <- split_vec(input, total)\n\nsplit_vec(setdiff(input, first_group[[1]][, 1]), total)\n\norder(apply(first_group[[1]], 2, prod))\n\nprod(first_group[[1]][, 1])\n\n\n\n[1] 72050269\n0.108 sec elapsed\n\nDay 25\nPart 1\n\n\nvalue <- 20151125\n\nx <- 1\ny <- 1\n\nrepeat {\n if (y == 1) {\n y <- x + 1\n x <- 1\n } else {\n y <- y - 1\n x <- x + 1\n }\n value <- (value * 252533) %% 33554393\n if (x == 3075 & y == 2981) break\n}\n\nvalue\n\n\n\n[1] 9132360\n7.474 sec elapsed\n\n\n\n\n\n", - "last_modified": "2022-12-08T15:44:45-08:00" + "last_modified": "2023-11-30T21:52:17-08:00" }, { "path": "2016.html", "title": "My 2016 Solutions", "author": [], "contents": "\n\n\n\n\n\nDay 1\nPart 1\n\n\nlibrary(stringr)\ninput <- readLines(\"2016/01-input\")\n\ninstructions <- strsplit(input, \", \")[[1]]\n\ndirections <- str_extract(instructions, \".{1}\")\nvalue <- as.numeric(str_extract(instructions, \"[0-9]+\"))\n\nposition <- c(0, 0)\narrow <- c(0, 1)\n\nfor (i in seq_along(directions)) {\n if (directions[i] == \"R\") {\n arrow <- rev(arrow) * c(1, -1)\n } else if (directions[i] == \"L\") {\n arrow <- rev(arrow * c(1, -1))\n }\n position <- position + arrow * value[i]\n}\nsum(abs(position))\n\n\n\n[1] 230\n0.02 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\ninput <- readLines(\"2016/01-input\")\n\ninstructions <- strsplit(input, \", \")[[1]]\n\ndirections <- str_extract(instructions, \".{1}\")\nvalue <- as.numeric(str_extract(instructions, \"[0-9]+\"))\n\nposition <- matrix(0, nrow = 1, ncol = 2)\narrow <- matrix(c(0, 1), nrow = 1, ncol = 2)\n\nlast <- function(x) x[nrow(x), ]\n\nfor (i in seq_along(directions)) {\n if (directions[i] == \"R\") {\n arrow <- rev(arrow) * c(1, -1)\n } else if (directions[i] == \"L\") {\n arrow <- rev(arrow * c(1, -1))\n }\n\n for (step in seq_len(value[i])) {\n position <- rbind(position, arrow + last(position))\n }\n}\n\nsum(abs(position[which(duplicated(position))[1], ]))\n\n\n\n[1] 154\n0.037 sec elapsed\n\nDay 2\nPart 1\n\n\ninput <- readLines(\"2016/02-input\")\n\ndirections <- strsplit(input, \"\")\n\npad <- matrix(c(1, 4, 7, 2, 5, 8, 3, 6, 9), nrow = 3)\n\nmove <- list(U = c(-1, 0), D = c(1, 0), L = c(0, -1), R = c(0, 1))\n\npos <- c(2, 2)\n\npassword <- numeric()\n\nfor (i in directions) {\n for (j in i) {\n pos <- pmax(pmin(pos + move[[j]], 3), 1)\n }\n password <- c(password, pad[pos[1], pos[2]])\n}\n\npaste(password, collapse = \"\")\n\n\n\n[1] \"47978\"\n0.048 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2016/02-input\")\n\ndirections <- strsplit(input, \"\")\n\npad <- matrix(c(NA, NA, 5, NA, NA,\n NA, 2, 6, \"A\", NA,\n 1, 3, 7, \"B\", \"D\",\n NA, 4, 8, \"C\", NA,\n NA, NA, 9, NA, NA), nrow = 5)\n\nmove <- list(U = c(-1, 0), D = c(1, 0), L = c(0, -1), R = c(0, 1))\n\npos <- c(3, 1)\n\npassword <- numeric()\n\nfor (i in directions) {\n for (j in i) {\n\n my_move <- move[[j]]\n if (j == \"U\" & pad[pos[1], pos[2]] %in% c(\"5\", \"2\", \"1\", \"4\", \"9\") ||\n j == \"D\" & pad[pos[1], pos[2]] %in% c(\"5\", \"A\", \"D\", \"C\", \"9\") ||\n j == \"L\" & pad[pos[1], pos[2]] %in% c(\"1\", \"2\", \"5\", \"A\", \"D\") ||\n j == \"R\" & pad[pos[1], pos[2]] %in% c(\"1\", \"4\", \"9\", \"C\", \"D\")) {\n my_move <- c(0, 0)\n }\n\n pos <- pos + my_move\n }\n password <- c(password, pad[pos[1], pos[2]])\n}\n\npaste(password, collapse = \"\")\n\n\n\n[1] \"659AD\"\n0.062 sec elapsed\n\nDay 3\nPart 1\n\n\ninput <- readLines(\"2016/03-input\")\n\nvalid_triangle <- function(x) {\n numbers <- stringr::str_extract_all(x, pattern = \"[0-9]+\")[[1]]\n numbers <- sort(as.numeric(numbers))\n numbers[3] < sum(numbers[-3])\n}\n\nsum(purrr::map_lgl(input, valid_triangle))\n\n\n\n[1] 1050\n0.183 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2016/03-input\")\n\nnumbers <- unlist(stringr::str_extract_all(input, \"[0-9]+\"))\n\nnumbers <- matrix(as.numeric(t(matrix(as.numeric(numbers),\n byrow = FALSE, nrow = 3))),\n byrow = TRUE, ncol = 3)\n\nvalid_triangle <- function(x) {\n x <- sort(as.numeric(x))\n x[3] < sum(x[-3])\n}\n\nsum(apply(numbers, 1, valid_triangle))\n\n\n\n[1] 1921\n0.143 sec elapsed\n\nDay 4\nPart 1\n\n\ninput <- readLines(\"2016/04-input\")\n\ndecoy_value <- function(x) {\n name <- stringr::str_extract(x, \"[a-z\\\\-]+\")\n name <- stringr::str_extract_all(name, \"[a-z]\")[[1]]\n\n checksum <- stringr::str_extract(x, \"\\\\[.+\")\n checksum <- stringr::str_extract(checksum, \"[a-z]+\")\n\n sector_id <- as.numeric(stringr::str_extract(x, \"[0-9]+\"))\n\n is_real <- paste(names(sort(table(name), decreasing = TRUE)[1:5]), collapse = \"\") == checksum\n\n sector_id * is_real\n}\n\nsum(purrr::map_dbl(input, decoy_value))\n\n\n\n[1] 278221\n0.529 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2016/04-input\")\n\ndecoy_value <- function(x) {\n name <- stringr::str_extract(x, \"[a-z\\\\-]+\")\n name <- stringr::str_extract_all(name, \"[a-z]\")[[1]]\n\n checksum <- stringr::str_extract(x, \"\\\\[.+\")\n checksum <- stringr::str_extract(checksum, \"[a-z]+\")\n\n sector_id <- as.numeric(stringr::str_extract(x, \"[0-9]+\"))\n\n is_real <- paste(names(sort(table(name), decreasing = TRUE)[1:5]), collapse = \"\") == checksum\n\n sector_id * is_real\n}\n\nreal_inputs <- input[purrr::map_dbl(input, decoy_value) > 0]\n\ndecrypt <- function(x) {\n value <- as.numeric(stringr::str_extract(x, \"[0-9]+\"))\n\n shift <- value %% 26\n\n key <- c(letters[-seq_len(shift)], letters[seq_len(shift)], \" \")\n names(key) <- c(letters, \"-\")\n\n code <- strsplit(stringr::str_remove(x, \"[0-9]+\"), \"\")[[1]]\n paste(key[code], collapse = \"\")\n}\n\ndecrypted <- purrr::map_chr(real_inputs, decrypt)\n\nreal_inputs[which(stringr::str_detect(decrypted, \"north\"))]\n\n\n\n[1] \"ghkmaihex-hucxvm-lmhktzx-267[hmxka]\"\n0.664 sec elapsed\n\nDay 5\nPart 1\n\n\ninput <- \"uqwqemis\"\n\ni <- 0\n\nmd5 <- digest::getVDigest()\n\npassword <- character()\n\nrepeat {\n i <- i + 1\n hash <- md5(paste0(input, i), serialize = FALSE)\n if (stringr::str_sub(hash, 1, 5) == \"00000\") {\n password <- c(password, stringr::str_sub(hash, 6, 6))\n cat(\"found new one at \", i, \"\\n\")\n if (length(password) == 8) break\n }\n}\n\npaste(password, collapse = \"\")\n\n\n\nfound new one at 4515059 \nfound new one at 6924074 \nfound new one at 8038154 \nfound new one at 13432968 \nfound new one at 13540621 \nfound new one at 14095580 \nfound new one at 14821988 \nfound new one at 16734551 \n[1] \"1a3099aa\"\n322.23 sec elapsed\n\nPart 2\n\n\ninput <- \"uqwqemis\"\n\ni <- 0\n\nmd5 <- digest::getVDigest()\n\npassword <- list()\n\nrepeat {\n i <- i + 1\n hash <- md5(paste0(input, i), serialize = FALSE)\n if (stringr::str_sub(hash, 1, 5) == \"00000\") {\n location <- stringr::str_sub(hash, 6, 6)\n if (!(location %in% as.character(0:7))) next\n value <- stringr::str_sub(hash, 7, 7)\n if (!is.null(password[[location]])) next\n password[[location]] <- value\n\n cat(\"found new one at \", i, \"\\n\")\n if (length(password) == 8) break\n }\n}\n\npaste(password[as.character(0:7)], collapse = \"\")\n\n\n\nfound new one at 4515059 \nfound new one at 8038154 \nfound new one at 13432968 \nfound new one at 17743256 \nfound new one at 19112977 \nfound new one at 20616595 \nfound new one at 21658552 \nfound new one at 26326685 \n[1] \"694190cd\"\n487.524 sec elapsed\n\nDay 6\nPart 1\n\n\ninput <- readLines(\"2016/06-input\")\n\nmat <- unname(Reduce(rbind, strsplit(input, \"\")))\n\npaste(apply(mat, 2, function(x) names(sort(table(x), TRUE))[1]), collapse = \"\")\n\n\n\n[1] \"umejzgdw\"\n0.025 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2016/06-input\")\n\nmat <- unname(Reduce(rbind, strsplit(input, \"\")))\n\npaste(apply(mat, 2, function(x) names(sort(table(x), FALSE))[1]), collapse = \"\")\n\n\n\n[1] \"aovueakv\"\n0.028 sec elapsed\n\nDay 7\nPart 1\n\n\nlibrary(stringr)\nlibrary(magrittr)\n\ninput <- readLines(\"2016/07-input\")\n\nTLS_check <- function(x) {\n outside <- str_replace_all(x, \"\\\\[.+?\\\\]\", \" \") %>%\n str_detect(\"([a-z])((?!\\\\1)[a-z])\\\\2\\\\1\")\n\n inside <- str_extract_all(x, \"\\\\[.+?\\\\]\")[[1]] %>%\n paste(collapse = \" \") %>%\n str_detect(\"([a-z])((?!\\\\1)[a-z])\\\\2\\\\1\")\n\n\n outside & !inside\n}\n\nsum(purrr::map_lgl(input, TLS_check))\n\n\n\n[1] 110\n0.341 sec elapsed\n\nPart 2\n\n\nlibrary(purrr)\nlibrary(stringr)\nlibrary(magrittr)\n\ninput <- readLines(\"2016/07-input\")\n\nstr_chars <- function(x) {\n str_split(x, \"\")[[1]]\n}\n\nget_anagram <- function(x, is_rev = FALSE) {\n inds <- dplyr::lead(x, 2) == x\n mids <- dplyr::lead(x, 1) != x\n first <- x %in% letters\n second <- dplyr::lead(x, 1) %in% letters\n\n res <- map(which(inds & mids & first & second), ~x[.x + 0:1])\n if(is_rev) {\n res <- map(res, rev)\n }\n\n res\n}\n\nSSL_check <- function(x) {\n outside <- str_replace_all(x, \"\\\\[.+?\\\\]\", \" \") %>%\n str_chars() %>%\n get_anagram()\n\n inside <- str_extract_all(x, \"\\\\[.+?\\\\]\") %>%\n .[[1]] %>%\n paste(collapse = \"\") %>%\n str_chars() %>%\n get_anagram(is_rev = TRUE)\n\n any(inside %in% outside)\n}\n\nsum(purrr::map_lgl(input, SSL_check))\n\n\n\n[1] 242\n1.268 sec elapsed\n\nDay 8\nPart 1\n\n\ninput <- readLines(\"2016/08-input\")\n\nrect <- function(grid, x, y) {\n grid[seq_len(x), seq_len(y)] <- 11\n grid\n}\n\nrotate <- function(x, by) {\n len <- length(x)\n x[c(seq(len - by + 1, len), seq(1, len -by))]\n}\n\nrotate_column <- function(grid, column, by) {\n grid[, column] <- rotate(grid[, column], by)\n grid\n}\n\nrotate_row <- function(grid, column, by) {\n grid[column, ] <- rotate(grid[column, ], by)\n grid\n}\n\ngrid <- matrix(FALSE, nrow = 6, ncol = 50)\n\nfor (i in seq_along(input)) {\n action <- stringr::str_extract(input[i], \"(rect|row|column)\")\n dims <- as.numeric(stringr::str_extract_all(input[i], \"[0-9]+\")[[1]])\n\n if (action == \"rect\") {\n grid <- rect(grid, dims[2], dims[1])\n } else if (action == \"row\") {\n grid <- rotate_row(grid, dims[1]+1, dims[2])\n } else if (action == \"column\") {\n grid <- rotate_column(grid, dims[1]+1, dims[2])\n }\n}\n\nsum(grid)\n\n\n\n[1] 1331\n0.031 sec elapsed\n\nPart 2\n\n\nlibrary(ggplot2)\n\ninput <- readLines(\"2016/08-input\")\n\nrect <- function(grid, x, y) {\n grid[seq_len(x), seq_len(y)] <- 11\n grid\n}\n\nrotate <- function(x, by) {\n len <- length(x)\n x[c(seq(len - by + 1, len), seq(1, len -by))]\n}\n\nrotate_column <- function(grid, column, by) {\n grid[, column] <- rotate(grid[, column], by)\n grid\n}\n\nrotate_row <- function(grid, column, by) {\n grid[column, ] <- rotate(grid[column, ], by)\n grid\n}\n\ngrid <- matrix(FALSE, nrow = 6, ncol = 50)\n\nfor (i in seq_along(input)) {\n action <- stringr::str_extract(input[i], \"(rect|row|column)\")\n dims <- as.numeric(stringr::str_extract_all(input[i], \"[0-9]+\")[[1]])\n\n if (action == \"rect\") {\n grid <- rect(grid, dims[2], dims[1])\n } else if (action == \"row\") {\n grid <- rotate_row(grid, dims[1]+1, dims[2])\n } else if (action == \"column\") {\n grid <- rotate_column(grid, dims[1]+1, dims[2])\n }\n}\n\nreshape2::melt(grid) %>%\n ggplot(aes(Var2, -Var1, fill = value)) +\n geom_tile() +\n coord_fixed() +\n theme_void() +\n guides(fill = \"none\")\n\n\n\n\n0.394 sec elapsed\n\nDay 9\nPart 1\n\n\nlibrary(stringr)\nlibrary(magrittr)\n\ninput <- readLines(\"2016/09-input\")\n\ndecompress <- function(input) {\n output <- character()\n\n repeat {\n output <- c(output, str_extract(input, \"^[A-Z]*\"))\n input <- str_remove(input, \"^[A-Z]*\")\n\n if (str_count(input) == 0) break\n\n reps <- str_extract(input, \"\\\\(.+?\\\\)\") %>%\n str_extract_all(\"[0-9]+\") %>%\n .[[1]] %>%\n as.numeric()\n input <- str_remove(input, \"\\\\(.+?\\\\)\")\n output <- c(output, str_sub(input, 1, reps[1]) %>% rep(reps[2]))\n input <- str_remove(input, paste0(\".{\", reps[1], \"}\", collapse = \"\"))\n\n if (str_count(input) == 0) break\n\n }\n\n paste0(output, collapse = \"\")\n}\n\nnchar(decompress(input))\n\n\n\n[1] 138735\n0.03 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\n\ninput <- readLines(\"2016/09-input\")\n\ndecompress_length <- function(input) {\n\n output <- numeric()\n\n repeat {\n output <- c(output, nchar(str_extract(input, \"^[A-Z]*\")))\n input <- str_remove(input, \"^[A-Z]*\")\n\n if (str_count(input) == 0) break\n\n reps <- str_extract(input, \"\\\\(.+?\\\\)\") %>%\n str_extract_all(\"[0-9]+\") %>%\n .[[1]] %>%\n as.numeric()\n\n section <- str_remove(input, \"\\\\(.+?\\\\)\") %>%\n str_sub(1, reps[1])\n\n if (str_detect(section, \"\\\\(.+?\\\\)\")) {\n len <- decompress_length(section)\n } else {\n len <- nchar(section)\n }\n output <- c(output, len * reps[2])\n\n input <- str_remove(input, \"\\\\(.+?\\\\)\")\n input <- str_remove(input, paste0(\".{\", reps[1], \"}\", collapse = \"\"))\n\n if (str_count(input) == 0) break\n\n }\n\n sum(output)\n}\n\ndecompress_length(input)\n\n\n\n[1] 11125026826\n0.382 sec elapsed\n\nDay 10\nPart 1\n\n\nlibrary(stringr)\nlibrary(purrr)\n\ninput <- readLines(\"2016/10-input\")\n\nint <- as.integer\nchr <- as.character\n\nvalues <- str_subset(input, \"^value\")\ninput <- str_subset(input, \"^value\", negate = TRUE)\n\ninfo <- list(bot = list(), output = list())\n\nvalues <- str_match_all(values, \"\\\\d+\")\n\nfor (value in values) {\n info$bot[[value[2, ]]] <- c(info$bot[[value[2, ]]], int(value[1, ]))\n}\n\nnum <- str_extract_all(input, \"\\\\d+\")\ndes <- str_extract_all(input, \"(bot|output)\")\n\ninst <- list()\n\nfor (i in seq_along(input)) {\n inst[[num[[i]][1]]] <- list(\n low = list(des = des[[i]][2], value = num[[i]][2]),\n high = list(des = des[[i]][3], value = num[[i]][3])\n )\n}\n\nrepeat {\n selection <- info$bot[lengths(info$bot) == 2]\n if (length(selection) == 0) break\n if (length(selection) > 1) {\n selection <- selection[1]\n }\n name <- names(selection)\n if (identical(sort(selection[[1]]), c(17L, 61L))) {\n cat(name)\n }\n\n info[[inst[[name]]$low$des]][[inst[[name]]$low$value]] <-\n c(info[[inst[[name]]$low$des]][[inst[[name]]$low$value]], min(selection[[1]]))\n\n info[[inst[[name]]$high$des]][[inst[[name]]$high$value]] <-\n c(info[[inst[[name]]$high$des]][[inst[[name]]$high$value]], max(selection[[1]]))\n\n info$bot[[name]] <- NULL\n}\n\n\n\n27\n0.045 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\nlibrary(purrr)\n\ninput <- readLines(\"2016/10-input\")\n\nint <- as.integer\nchr <- as.character\n\nvalues <- str_subset(input, \"^value\")\ninput <- str_subset(input, \"^value\", negate = TRUE)\n\ninfo <- list(bot = list(), output = list())\n\nvalues <- str_match_all(values, \"\\\\d+\")\n\nfor (value in values) {\n info$bot[[value[2, ]]] <- c(info$bot[[value[2, ]]], int(value[1, ]))\n}\n\nnum <- str_extract_all(input, \"\\\\d+\")\ndes <- str_extract_all(input, \"(bot|output)\")\n\ninst <- list()\n\nfor (i in seq_along(input)) {\n inst[[num[[i]][1]]] <- list(\n low = list(des = des[[i]][2], value = num[[i]][2]),\n high = list(des = des[[i]][3], value = num[[i]][3])\n )\n}\n\nrepeat {\n selection <- info$bot[lengths(info$bot) == 2]\n if (length(selection) == 0) break\n if (length(selection) > 1) {\n selection <- selection[1]\n }\n name <- names(selection)\n if (identical(sort(selection[[1]]), c(17L, 61L))) {\n cat(name)\n }\n\n info[[inst[[name]]$low$des]][[inst[[name]]$low$value]] <-\n c(info[[inst[[name]]$low$des]][[inst[[name]]$low$value]], min(selection[[1]]))\n\n info[[inst[[name]]$high$des]][[inst[[name]]$high$value]] <-\n c(info[[inst[[name]]$high$des]][[inst[[name]]$high$value]], max(selection[[1]]))\n\n info$bot[[name]] <- NULL\n}\n\ninfo$output[[\"0\"]] * info$output[[\"1\"]] * info$output[[\"2\"]]\n\n\n\n27\n[1] 13727\n0.046 sec elapsed\n\nDay 11\nDay 12\nPart 1\n\n\ninput <- readLines(\"2016/12-input\")\n\nreg <- c(a = 0, b = 0, c = 0, d = 0)\n\nindex <- 1\ninput_len <- length(input)\n\n\nget_value <- function(values, reg) {\n check_val <- values[2]\n if (check_val %in% c(\"a\", \"b\", \"c\", \"d\")) {\n check_val <- reg[values[2]]\n } else {\n check_val <- as.integer(check_val)\n }\n check_val\n}\n\nrepeat {\n command <- substr(input[index], 1, 3)\n values <- strsplit(input[index], \" \")[[1]]\n\n if (command == \"cpy\") {\n reg[values[3]] <- get_value(values, reg)\n index <- index + 1\n } else if (command == \"inc\") {\n reg[values[2]] <- reg[values[2]] + 1\n index <- index + 1\n } else if (command == \"dec\") {\n reg[values[2]] <- reg[values[2]] - 1\n index <- index + 1\n } else if (command == \"jnz\") {\n\n check_val <- get_value(values, reg)\n if (check_val != 0) {\n index <- index + as.integer(values[3])\n } else {\n index <- index + 1\n }\n }\n if (index > input_len) break\n reg\n}\n\nreg[[\"a\"]]\n\n\n\n[1] 318009\n9.467 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2016/12-input\")\n\nreg <- c(a = 0, b = 0, c = 1, d = 0)\n\nindex <- 1\ninput_len <- length(input)\n\ninst <- strsplit(input, \" \")\n\nget_value <- function(values, reg) {\n check_val <- values[2]\n if (check_val %in% c(\"a\", \"b\", \"c\", \"d\")) {\n check_val <- reg[values[2]]\n } else {\n check_val <- as.integer(check_val)\n }\n check_val\n}\n\nrepeat {\n command <- inst[[index]][1]\n values <- inst[[index]]\n\n if (command == \"cpy\") {\n reg[values[3]] <- get_value(values, reg)\n index <- index + 1\n } else if (command == \"inc\") {\n reg[values[2]] <- reg[values[2]] + 1\n index <- index + 1\n } else if (command == \"dec\") {\n reg[values[2]] <- reg[values[2]] - 1\n index <- index + 1\n } else if (command == \"jnz\") {\n\n check_val <- get_value(values, reg)\n if (check_val != 0) {\n index <- index + as.integer(values[3])\n } else {\n index <- index + 1\n }\n }\n if (index > input_len) break\n reg\n}\n\nreg[[\"a\"]]\n\n\n\n[1] 9227663\n72.035 sec elapsed\n\nDay 13\nPart 1\n\n\ncode <- function(x, y) x*x + 3*x + 2*x*y + y + y*y\n\nnumber <- 1352\nroom <- function(x, y, number) {\n sum(intToBits(code(x, y) + number) == 1) %% 2\n}\n\nsize <- 75\nmaze <- matrix(nrow = size, ncol = size)\nmaze[2, 2] <- 0 # 0-index\n\nfor (x in seq_len(size-1)) {\n for (y in seq_len(size-1)) {\n if (room(x-1, y-1, number) == 1) { # 0-index\n maze[x, y] <- Inf\n }\n }\n}\n\naround <- function(x, y) {\n list(\n list(x = x + 0, y = y + 1),\n list(x = x + 1, y = y + 0),\n list(x = x + 0, y = y - 1),\n list(x = x - 1, y = y + 0)\n )\n}\n\nvalidate <- function(l, m) {\n\n valid <- purrr::map_lgl(l, ~.x$x <= (size-1) && .x$y <= (size-1) && .x$x >= 1 && .x$y >= 1 && is.na(m[.x$x, .x$y]))\n\n l <- l[valid]\n l\n}\n\nappend <- function(x, y) {\n c(y, x)\n}\n\nfind_lowest <- function(place, maze) {\n neighbors <- around(place$x, place$y)\n values <- purrr::map_dbl(neighbors, ~{\n if (.x$x == 0 || .x$y == 0 || .x$y == size || .x$y == size) return(Inf)\n maze[.x$x, .x$y]\n }\n )\n min(values, na.rm = TRUE)\n}\n\nplaces <- list()\n\nplaces <- around(2, 2) |> # 0-index\n validate(maze) |>\n append(places)\n\nwhile (length(places) > 0) {\n lowest <- find_lowest(places[[1]], maze)\n maze[places[[1]]$x, places[[1]]$y] <- lowest + 1\n\n places <- around(places[[1]]$x, places[[1]]$y) |>\n validate(maze) |>\n append(places)\n\n places[[1]] <- NULL\n}\nmaze[31 + 1, 39 + 1]# 0-index\n\n\n\n[1] 90\n0.948 sec elapsed\n\nPart 2\n\n\ncode <- function(x, y) x*x + 3*x + 2*x*y + y + y*y\n\nnumber <- 1352\nroom <- function(x, y, number) {\n sum(intToBits(code(x, y) + number) == 1) %% 2\n}\n\nsize <- 75\nmaze <- matrix(nrow = size, ncol = size)\nmaze[2, 2] <- 0 # 0-index\n\nfor (x in seq_len(size-1)) {\n for (y in seq_len(size-1)) {\n if (room(x-1, y-1, number) == 1) { # 0-index\n maze[x, y] <- Inf\n }\n }\n}\n\naround <- function(x, y) {\n list(\n list(x = x + 0, y = y + 1),\n list(x = x + 1, y = y + 0),\n list(x = x + 0, y = y - 1),\n list(x = x - 1, y = y + 0)\n )\n}\n\nvalidate <- function(l, m) {\n\n valid <- purrr::map_lgl(l, ~.x$x <= (size-1) && .x$y <= (size-1) && .x$x >= 1 && .x$y >= 1 && is.na(m[.x$x, .x$y]))\n\n l <- l[valid]\n l\n}\n\nappend <- function(x, y) {\n c(y, x)\n}\n\nfind_lowest <- function(place, maze) {\n neighbors <- around(place$x, place$y)\n values <- purrr::map_dbl(neighbors, ~{\n if (.x$x == 0 || .x$y == 0 || .x$y == size || .x$y == size) return(Inf)\n maze[.x$x, .x$y]\n }\n )\n min(values, na.rm = TRUE)\n}\n\nplaces <- list()\n\nplaces <- around(2, 2) |> # 0-index\n validate(maze) |>\n append(places)\n\nwhile (length(places) > 0) {\n lowest <- find_lowest(places[[1]], maze)\n maze[places[[1]]$x, places[[1]]$y] <- lowest + 1\n\n places <- around(places[[1]]$x, places[[1]]$y) |>\n validate(maze) |>\n append(places)\n\n places[[1]] <- NULL\n}\n\nsum(maze <= 50 & is.finite(maze))\n\n\n\n[1] 135\n0.981 sec elapsed\n\nDay 14\nPart 1\n\n\nlibrary(stringr)\nlibrary(purrr)\n\nmd5 <- digest::getVDigest()\n\nsalt <- \"ngcjuoqr\"\n\nkeys <- c()\ni <- 1\nrepeat {\n hash <- md5(paste0(salt, i), serialize = FALSE)\n if (str_detect(hash, \"(.)\\\\1{2,}\")) {\n pattern <- str_extract(hash, \"(.)\\\\1{2,}\") |>\n str_sub(1, 1) |>\n strrep(5)\n\n if (any(map_lgl(i + seq_len(1000), ~ str_detect(md5(paste0(salt, .x), serialize = FALSE), pattern)))) {\n keys <- c(keys, i)\n cat(length(keys), \": \", i, \"\\n\", sep = \"\")\n }\n }\n\n if (length(keys) == 64) break\n i <- i + 1\n}\ni\n\n\n\n1: 75\n2: 94\n3: 142\n4: 143\n5: 203\n6: 278\n7: 647\n8: 852\n9: 911\n10: 988\n11: 1015\n12: 1069\n13: 1076\n14: 1088\n15: 1138\n16: 1228\n17: 1233\n18: 1652\n19: 1951\n20: 2011\n21: 2022\n22: 2032\n23: 2104\n24: 2105\n25: 2229\n26: 2242\n27: 2271\n28: 2369\n29: 2372\n30: 2553\n31: 2817\n32: 3382\n33: 3402\n34: 3546\n35: 3620\n36: 3637\n37: 3654\n38: 4063\n39: 4266\n40: 7360\n41: 7386\n42: 7712\n43: 7755\n44: 10792\n45: 10797\n46: 10959\n47: 10979\n48: 11598\n49: 11639\n50: 11644\n51: 11962\n52: 11986\n53: 12156\n54: 12291\n55: 14651\n56: 14833\n57: 15133\n58: 15265\n59: 18292\n60: 18378\n61: 18464\n62: 18473\n63: 18577\n64: 18626\n[1] 18626\n44.139 sec elapsed\n\nPart 2\nDay 15\nPart 1\n\n\ninput <- readLines(\"2016/15-input\")\n\ninput <- input |> stringr::str_match_all(\"\\\\d+\")\n\nn_pos <- purrr::map_int(input, ~as.integer(.x[2, ]))\npos <- purrr::map_int(input, ~as.integer(.x[4, ]))\n\ni <- 0\nrepeat {\n if (all((pos + seq_along(pos) + i) %% n_pos == 0)) break\n i <- i + 1\n}\ni\n\n\n\n[1] 16824\n0.03 sec elapsed\n\nPart 2\nDay 16\nPart 1\n\n\ninput <- \"10111100110001111\"\n\na <- c(\"1\" = T, \"0\" = F)[strsplit(input, \"\")[[1]]]\n\nlen <- 272\n\nwhile (length(a) < len) {\n a <- c(a, FALSE, !rev(a))\n}\na <- a[seq_len(len)]\n\nis_even <- function(x) (x %% 2) == 0\nis_odd <- function(x) (x %% 2) == 1\n\nrepeat {\n if (is_odd(length(a))) {\n break\n }\n\n a <- purrr::map_lgl(\n split(a, rep(seq_len(length(a)/2), each = 2)),\n ~ .x[1] == .x[2]\n )\n}\n\npaste0(as.integer(a), collapse = \"\")\n\n\n\n[1] \"11100110111101110\"\n0.009 sec elapsed\n\nPart 2\n\n\ninput <- \"10111100110001111\"\n\na <- c(\"1\" = T, \"0\" = F)[strsplit(input, \"\")[[1]]]\n\nlen <- 35651584\n\nwhile (length(a) < len) {\n a <- c(a, FALSE, !rev(a))\n}\na <- a[seq_len(len)]\n\nis_even <- function(x) (x %% 2) == 0\nis_odd <- function(x) (x %% 2) == 1\n\nrepeat {\n if (is_odd(length(a))) {\n break\n }\n\n a <- purrr::map_lgl(\n split(a, rep(seq_len(length(a)/2), each = 2)),\n ~ .x[1] == .x[2]\n )\n}\n\npaste0(as.integer(a), collapse = \"\")\n\n\n\n[1] \"10001101010000101\"\n108.509 sec elapsed\n\nDay 17\nDay 18\nPart 1\n\n\ninput <- \"^.^^^.^..^....^^....^^^^.^^.^...^^.^.^^.^^.^^..^.^...^.^..^.^^.^..^.....^^^.^.^^^..^^...^^^...^...^.\"\nrows <- 40\n\ntiles <- strsplit(input, \"\")[[1]] == \"^\"\n\nroom <- matrix(FALSE, nrow = rows, ncol = length(tiles) + 2)\n\nroom[1, seq_along(tiles) + 1] <- tiles\n\nfor (row in seq(2, nrow(room))) {\n for (col in seq(2, ncol(room) - 1)) {\n parent <- room[row - 1, -1:1 + col]\n\n if (\n identical(c(T, T, F), parent) ||\n identical(c(F, T, T), parent) ||\n identical(c(T, F, F), parent) ||\n identical(c(F, F, T), parent)\n ) {\n room[row, col] <- TRUE\n }\n }\n}\n\nsum(!room[, seq_along(tiles) + 1])\n\n\n\n[1] 1926\n0.02 sec elapsed\n\nPart 2\n\n\ninput <- \"^.^^^.^..^....^^....^^^^.^^.^...^^.^.^^.^^.^^..^.^...^.^..^.^^.^..^.....^^^.^.^^^..^^...^^^...^...^.\"\nrows <- 400000\n\ntiles <- strsplit(input, \"\")[[1]] == \"^\"\n\nroom <- matrix(FALSE, nrow = rows, ncol = length(tiles) + 2)\n\nroom[1, seq_along(tiles) + 1] <- tiles\n\nfor (row in seq(2, nrow(room))) {\n for (col in seq(2, ncol(room) - 1)) {\n parent <- room[row - 1, -1:1 + col]\n\n if (\n identical(c(T, T, F), parent) ||\n identical(c(F, T, T), parent) ||\n identical(c(T, F, F), parent) ||\n identical(c(F, F, T), parent)\n ) {\n room[row, col] <- TRUE\n }\n }\n}\n\nsum(!room[, seq_along(tiles) + 1])\n\n\n\n[1] 19986699\n112.207 sec elapsed\n\nDay 19\nPart 1\n\n\nn <- 3004953\n2 * (n - 2^(floor(log2(n)))) + 1\n\n\n\n[1] 1815603\n0.003 sec elapsed\n\nPart 2\n\n\nfun <- function(n) {\n parts <- seq_len(n) |> as.character()\n\n repeat {\n parts <- parts[-floor(length(parts) / 2 + 1)]\n if (length(parts) == 1) break\n parts <- parts[c(seq(2, length(parts)), 1)]\n }\n parts\n}\n\nwhich(purrr::map_chr(2:1000, fun) == \"1\")\n\n3 ^ seq(0, 14)\n\n3004953-1594323\n\n\n\n[1] 1410630\n8.672 sec elapsed\n\nDay 20\nPart 1\n\n\ninput <- readr::read_delim(\"2016/20-input\", delim = \"-\", col_names = c(\"min\", \"max\"))\n\nmin_target <- 0\nmax_target <- 4294967295\n\nnumber <- 0\n\nrepeat {\n cond <- which(input$min <= min_target)\n if (length(cond) == 0) break\n cond_max <- input$max[cond]\n min_target <- min(cond_max) + 1\n input <- input[-cond[min(cond_max) == cond_max], ]\n}\n\nmin_target\n\n\n\n[1] 23923783\n0.425 sec elapsed\n\nPart 2\n\n\ninput <- readr::read_delim(\"2016/20-input\", delim = \"-\", col_names = c(\"min\", \"max\"))\n\ninput <- dplyr::arrange(input, min)\n\nused <- 0\ncount <- 0\n\nfor (i in seq_len(nrow(input))) {\n if (input[i, ]$min > used + 1) {\n count <- count + input[i, ]$min - used - 1\n }\n used <- max(input[i, ]$max, used)\n}\ncount\n\n\n\n[1] 125\n0.209 sec elapsed\n\nDay 21\nPart 1\n\n\nlibrary(stringr)\nint <- as.integer\nplus1 <- function(x) x + 1\n\ninput <- readLines(\"2016/21-input\")\n\npassword <- strsplit(\"abcdefgh\", \"\")[[1]]\npassword_len <- length(password)\n\nrotate_left <- function(x, n) {\n c(password[-seq_len(1)], password[seq_len(1)])\n}\n\nfor (command in input) {\n if (str_detect(command, \"^swap position\")) {\n pos <- str_extract_all(command, \"\\\\d\")[[1]] |> int() |> plus1()\n password[pos] <- rev(password[pos])\n }\n if (str_detect(command, \"^swap letter\")) {\n letter <- str_sub(command, c(13, 27), c(13, 27))\n pos <- match(letter, password)\n password[pos] <- rev(password[pos])\n }\n if (str_detect(command, \"^reverse positions\")) {\n pos <- str_extract_all(command, \"\\\\d\")[[1]] |> int() |> plus1()\n password[pos[1]:pos[2]] <- rev(password[pos[1]:pos[2]])\n }\n if (str_detect(command, \"^rotate left\")) {\n shift <- str_extract(command, \"\\\\d\") |> int()\n if (shift == 0) next\n password <- c(password[-seq_len(shift)], password[seq_len(shift)])\n }\n if (str_detect(command, \"^rotate right\")) {\n shift <- str_extract(command, \"\\\\d\") |> int()\n if (shift == 0) next\n password <- c(\n rev(rev(password)[seq_len(shift)]),\n rev(rev(password)[-seq_len(shift)])\n )\n }\n if (str_detect(command, \"^move position\")) {\n pos <- str_extract_all(command, \"\\\\d\")[[1]] |> int() |> plus1()\n element <- password[pos[1]]\n password <- password[-pos[1]]\n if (pos[2] == 1) {\n password <- c(element, password)\n } else if (pos[2] == password_len) {\n password <- c(password, element)\n } else\n password <- c(\n password[seq_len(pos[2]-1)],\n element,\n password[seq(pos[2], password_len-1)]\n )\n }\n if (str_detect(command, \"^rotate based\")) {\n letter <- str_sub(command, 36, 36)\n shift <- match(letter, password)\n shift <- shift\n password <- c(\n rev(rev(password)[seq_len(shift)]),\n rev(rev(password)[-seq_len(shift)])\n )\n if (shift > 4) {\n password <- c(\n rev(rev(password)[seq_len(1)]),\n rev(rev(password)[-seq_len(1)])\n )\n }\n }\n}\ncat(paste(password, collapse = \"\"), \"\\n\")\n\n\n\ngcedfahb \n0.062 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\nint <- as.integer\nplus1 <- function(x) x + 1\n\ninput <- readLines(\"2016/21-input\")\n\nrotate_left <- function(x, n) {\n c(password[-seq_len(1)], password[seq_len(1)])\n}\n\nshuffle <- function(password) {\n password <- strsplit(password, \"\")[[1]]\n password_len <- length(password)\n for (command in input) {\n if (str_detect(command, \"^swap position\")) {\n pos <- str_extract_all(command, \"\\\\d\")[[1]] |> int() |> plus1()\n password[pos] <- rev(password[pos])\n }\n if (str_detect(command, \"^swap letter\")) {\n letter <- str_sub(command, c(13, 27), c(13, 27))\n pos <- match(letter, password)\n password[pos] <- rev(password[pos])\n }\n if (str_detect(command, \"^reverse positions\")) {\n pos <- str_extract_all(command, \"\\\\d\")[[1]] |> int() |> plus1()\n password[pos[1]:pos[2]] <- rev(password[pos[1]:pos[2]])\n }\n if (str_detect(command, \"^rotate left\")) {\n shift <- str_extract(command, \"\\\\d\") |> int()\n if (shift == 0) next\n password <- c(password[-seq_len(shift)], password[seq_len(shift)])\n }\n if (str_detect(command, \"^rotate right\")) {\n shift <- str_extract(command, \"\\\\d\") |> int()\n if (shift == 0) next\n password <- c(\n rev(rev(password)[seq_len(shift)]),\n rev(rev(password)[-seq_len(shift)])\n )\n }\n if (str_detect(command, \"^move position\")) {\n pos <- str_extract_all(command, \"\\\\d\")[[1]] |> int() |> plus1()\n element <- password[pos[1]]\n password <- password[-pos[1]]\n if (pos[2] == 1) {\n password <- c(element, password)\n } else if (pos[2] == password_len) {\n password <- c(password, element)\n } else\n password <- c(\n password[seq_len(pos[2]-1)],\n element,\n password[seq(pos[2], password_len-1)]\n )\n }\n if (str_detect(command, \"^rotate based\")) {\n letter <- str_sub(command, 36, 36)\n shift <- match(letter, password)\n shift <- shift\n password <- c(\n rev(rev(password)[seq_len(shift)]),\n rev(rev(password)[-seq_len(shift)])\n )\n if (shift > 4) {\n password <- c(\n rev(rev(password)[seq_len(1)]),\n rev(rev(password)[-seq_len(1)])\n )\n }\n }\n }\n paste(password, collapse = \"\")\n}\n\nexpand.grid(letters[1:8], letters[1:8], letters[1:8], letters[1:8], letters[1:8], letters[1:8],letters[1:8], letters[1:8])\n\n\nlibrary(combinat)\n\nkeys <- permn(letters[1:8]) |>\n purrr::map_chr(paste, collapse = \"\") |>\n purrr::map_chr(shuffle)\n\npermn(letters[1:8])[[which(keys == \"fbgdceah\")]] |> paste(collapse = \"\")\n\n\n\n[1] \"hegbdcfa\"\n536.444 sec elapsed\n\nDay 22\nPart 1\n\n\nlibrary(tidyverse)\ninput <- readr::read_lines(\"2016/21-input\", skip = 2) %>%\n strsplit(\" +\") %>%\n purrr::reduce(rbind) %>%\n tibble::as_tibble() %>%\n purrr::set_names(c(\"Filesystem\", \"Size\", \"Used\", \"Avail\", \"Use\")) %>%\n tidyr::separate(Filesystem, c(\"tmp\", \"x\", \"y\"), sep = \"-\") %>%\n mutate(across(x:y, ~ readr::parse_number(.x) %>% as.integer()))\n\nlibrary(dplyr)\npairs <- expand.grid(x0 = 0:29, y0 = 0:29, x1 = 0:29, y1 = 0:29) %>%\n filter((abs(x0 - x1) == 1) + (abs(y0 - y1) == 1) == 1)\n\npairs %>%\n left_join(input, by = c(\"x0\" = \"x\", \"y0\" = \"y\")) %>%\n left_join(input, by = c(\"x1\" = \"x\", \"y1\" = \"y\")) %>%\n filter(readr::parse_number(Used.x) <= readr::parse_number(Avail.y))\n\n\n\n [1] x0 y0 x1 y1 tmp.x Size.x Used.x Avail.x\n [9] Use.x tmp.y Size.y Used.y Avail.y Use.y \n<0 rows> (or 0-length row.names)\n0.681 sec elapsed\n\nDay 23\nDay 24\nDay 25\n\n\n\n\n", - "last_modified": "2022-12-08T15:44:51-08:00" + "last_modified": "2023-11-30T21:52:23-08:00" }, { "path": "2017.html", "title": "My 2017 Solutions", "author": [], "contents": "\n\n\n\n\n\nDay 1\nPart 1\n\n\ninput <- readLines(\"2017/01-input\")\n\nchars <- as.numeric(strsplit(input, \"\")[[1]])\n\nsum(chars[chars == c(chars[-1], chars[1])])\n\n\n\n[1] 1044\n0.002 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2017/01-input\")\n\nchars <- as.numeric(strsplit(input, \"\")[[1]])\n\nlen <- seq_len(length(chars)/2)\n\nsum(chars[chars == c(chars[-len], chars[len])])\n\n\n\n[1] 1054\n0.002 sec elapsed\n\nDay 2\nPart 1\n\n\ninput <- readr::read_tsv(\"2017/02-input\", col_names = FALSE)\n\nsum(apply(as.matrix(input), 1, function(x) max(x)-min(x)))\n\n\n\n[1] 32020\n0.358 sec elapsed\n\nPart 2\n\n\ninput <- readr::read_tsv(\"2017/02-input\", col_names = FALSE)\n\nevenly <- function(x) {\n outers <- outer(x, x, \"/\")\n\n outers[((outers %% 1) == 0) & (outers != 1)]\n}\n\nsum(apply(as.matrix(input), 1, evenly))\n\nx <- as.numeric(input[1, ])\n\n\n\n0.088 sec elapsed\n\nDay 3\nPart 1\n\n\ninput <- scan(\"2017/03-input\")\n\ncenter <- 1\n\nright <- 2\nup <- 4\nleft <- 6\ndown <- 8\n\nring <- 1\n\nrepeat {\n ring <- ring + 1\n right <- down + ring + (ring - 1)\n up <- right + ring * 2\n left <- up + ring * 2\n down <- left + ring * 2\n if (any(c(right, up, left, down) >= input)) break\n}\n\nmin(abs(c(right, up, left, down) - input)) + ring\n\n\n\n[1] 371\n0.004 sec elapsed\n\nPart 2\n\n\ninput <- scan(\"2017/03-input\")\n\nget_sum <- function(x, values) {\n neightbor_locs <- purrr::pmap_chr(\n expand.grid(x = c(-1, 0, 1) + x[1], y = c(-1, 0, 1) + x[2]),\n function(x, y) paste0(x, \"_\", y)\n )\n sum(unlist(values[neightbor_locs]), na.rm = TRUE)\n}\n\nloc <- c(0, 0)\n\nvalues <- list()\n\nvalues[paste0(loc, collapse = \"_\")] <- 1\n\nring <- 1\n\n# repeat\nring <- 0\nrepeat {\n if (value > input) break\n ring <- ring + 1\n\n # right (advance)\n loc <- loc + c(1, 0)\n\n value <- get_sum(loc, values)\n values[paste0(loc, collapse = \"_\")] <- value\n cat(\"loc:\", loc, \"value:\", value, \"\\n\")\n if (value > input) break\n\n # go up\n while (value <= input) {\n loc <- loc + c(0, 1)\n\n value <- get_sum(loc, values)\n values[paste0(loc, collapse = \"_\")] <- value\n cat(\"loc:\", loc, \"value:\", value, \"\\n\")\n if (identical(loc, c(ring, ring))) break\n if (value > input) break\n }\n\n # go left\n while (value <= input) {\n loc <- loc + c(-1, 0)\n\n value <- get_sum(loc, values)\n values[paste0(loc, collapse = \"_\")] <- value\n cat(\"loc:\", loc, \"value:\", value, \"\\n\")\n if (identical(loc, c(-ring, ring))) break\n if (value > input) break\n }\n\n # go down\n while (value <= input) {\n loc <- loc + c(0, -1)\n\n value <- get_sum(loc, values)\n values[paste0(loc, collapse = \"_\")] <- value\n cat(\"loc:\", loc, \"value:\", value, \"\\n\")\n if (identical(loc, c(-ring, -ring))) break\n if (value > input) break\n }\n\n # go right\n while (value <= input) {\n loc <- loc + c(1, 0)\n\n value <- get_sum(loc, values)\n values[paste0(loc, collapse = \"_\")] <- value\n cat(\"loc:\", loc, \"value:\", value, \"\\n\")\n if (identical(loc, c(ring, -ring))) break\n if (value > input) break\n }\n}\n\nvalue\n\n\n\n[1] 9132360\n0.015 sec elapsed\n\nDay 4\nPart 1\n\n\nlibrary(purrr)\n\ninput <- readLines(\"2017/04-input\")\n\npasswords <- strsplit(input, \" \")\n\nsum(map_lgl(passwords, ~ all(table(.x) == 1)))\n\n\n\n[1] 386\n0.08 sec elapsed\n\nPart 2\n\n\nlibrary(purrr)\n\ninput <- readLines(\"2017/04-input\")\n\npasswords <- strsplit(input, \" \")\n\norder_letters <- function(x) {\n paste0(sort(strsplit(x, \"\")[[1]]), collapse = \"\")\n}\n\nsum(map_lgl(passwords, ~ all(table(map_chr(.x, order_letters)) == 1)))\n\n\n\n[1] 208\n0.218 sec elapsed\n\nDay 5\nPart 1\n\n\ninput <- as.numeric(readLines(\"2017/05-input\"))\n\nlen <- length(input)\n\nindex <- 1\nsteps <- 0\n\nrepeat {\n steps <- steps + 1\n offset <- input[index]\n input[index] <- input[index] + 1\n index <- index + offset\n\n if (index < 1 | index > len) break\n}\n\nsteps\n\n\n\n[1] 364539\n0.164 sec elapsed\n\nPart 2\n\n\ninput <- as.numeric(readLines(\"2017/05-input\"))\n\nlen <- length(input)\n\nindex <- 1\nsteps <- 0\n\nrepeat {\n steps <- steps + 1\n offset <- input[index]\n\n if (offset >= 3) {\n input[index] <- input[index] - 1\n } else {\n input[index] <- input[index] + 1\n }\n index <- index + offset\n\n if (index < 1 | index > len) break\n}\n\nsteps\n\n\n\n[1] 27477714\n8.334 sec elapsed\n\nDay 6\nPart 1\n\n\ninput <- scan(\"2017/06-input\")\n\nseen <- paste(input, collapse = \" \")\n\ninput_len <- length(input)\n\ncycles <- 0\n\nrepeat {\n cycles <- cycles + 1\n\n index <- min(which(max(input) == input))\n blocks <- input[index]\n input[index] <- 0\n\n while (blocks > 0) {\n index <- index + 1\n if (index > input_len) {\n index <- 1\n }\n input[index] <- input[index] + 1\n blocks <- blocks - 1\n }\n\n if (paste(input, collapse = \" \") %in% seen) break\n seen <- c(seen, paste(input, collapse = \" \"))\n}\n\ncycles\n\nlength(seen) - which(paste(input, collapse = \" \") == seen) + 1\n\n\n\n[1] 4\n0.006 sec elapsed\n\nPart 2\n\n\ninput <- scan(\"2017/06-input\")\n\nseen <- paste(input, collapse = \" \")\n\ninput_len <- length(input)\n\ncycles <- 0\n\nrepeat {\n cycles <- cycles + 1\n\n index <- min(which(max(input) == input))\n blocks <- input[index]\n input[index] <- 0\n\n while (blocks > 0) {\n index <- index + 1\n if (index > input_len) {\n index <- 1\n }\n input[index] <- input[index] + 1\n blocks <- blocks - 1\n }\n\n if (paste(input, collapse = \" \") %in% seen) break\n seen <- c(seen, paste(input, collapse = \" \"))\n}\n\nlength(seen) - which(paste(input, collapse = \" \") == seen) + 1\n\n\n\n[1] 4\n0.006 sec elapsed\n\nDay 7\nPart 1\n\n\ninput <- readLines(\"2017/07-input\")\n\nlibrary(stringr)\n\nloc <- str_subset(input, \"->\")[1] |>\n str_extract(\"[a-z]+\")\n\nrepeat {\n\n next_id <- str_detect(input, paste0(\".+\", loc))\n\n if (all(!next_id)) break\n\n loc <- str_extract(input[next_id], \"^[a-z]+\")\n}\n\nloc\n\n\n\n[1] \"dgoocsw\"\n0.056 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2017/07-input\")\n\nlibrary(stringr)\n\nloc <- str_subset(input, \"->\")[1] |>\n str_extract(\"[a-z]+\")\n\nrepeat {\n\n next_id <- str_detect(input, paste0(\".+\", loc))\n\n if (all(!next_id)) break\n\n loc <- str_extract(input[next_id], \"^[a-z]+\")\n}\n\nget_children <- function(x, input) {\n str_subset(input, paste0(\"^\", x)) |>\n str_remove(\".*> \") |>\n str_split_1(\", \")\n}\n\nget_weight <- function(x) {\n value <- str_subset(input, paste0(\"^\", x))\n\n res <- str_extract(value, \"[0-9]+\") |> as.integer()\n if (str_detect(value, \">\")) {\n res <- res + sum(purrr::map_int(get_children(x, input), get_weight))\n }\n res\n}\n\nbot <- loc\n\nerror <- function(x) max(x) - min(x)\nwrong_amount <- error(purrr::map_int(get_children(bot, input), get_weight))\n\nrepeat {\n\nchildren <- get_children(bot, input)\n\nweights <- purrr::map_int(children, get_weight)\n\nif (length(table(weights)) == 1) break\n\nbot <- children[names(table(weights)[table(weights) == 1]) == weights]\n\n}\n\nwrong_weight <- str_subset(input, paste(children, collapse = \", \")) |>\n str_extract(\"[0-9]+\") |>\n as.integer()\n\nwrong_weight - wrong_amount\n\n\n\n[1] 1275\n0.571 sec elapsed\n\nDay 8\nPart 1\n\n\ninput <- readLines(\"2017/08-input\")\n\ninc <- function(x, value) {\n name <- deparse(substitute(x))\n .GlobalEnv[[name]] <- .GlobalEnv[[name]] + value\n}\n\ndec <- function(x, value) {\n name <- deparse(substitute(x))\n .GlobalEnv[[name]] <- .GlobalEnv[[name]] - value\n}\n\nlibrary(stringr)\n\nregisters <- str_extract_all(input, \"[a-z]+\") |>\n unlist() |>\n unique() |>\n setdiff(c(\"dec\", \"inc\", \"if\"))\n\nmaterialize <- function(name) {\n .GlobalEnv[[name]] <- 0\n}\n\npurrr::walk(registers, materialize)\n\nreorganize <- function(x) {\n glue::glue(\"if ({x[5]} {x[6]} {x[7]}) {x[2]}({x[1]}, {x[3]})\")\n}\n\nstr_split(input, \" \") |>\n purrr::map_chr(reorganize) |>\n parse(text = _) |>\n eval()\n\npurrr::map_dbl(registers, ~eval(parse(text = .x))) |>\n max()\n\n\n\n[1] 4902\n0.123 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2017/08-input\")\n\nhighest <- 0\n\ninc <- function(x, value) {\n name <- deparse(substitute(x))\n .GlobalEnv[[name]] <- .GlobalEnv[[name]] + value\n .GlobalEnv[[\"highest\"]] <- max(.GlobalEnv[[\"highest\"]], .GlobalEnv[[name]])\n}\n\ndec <- function(x, value) {\n name <- deparse(substitute(x))\n .GlobalEnv[[name]] <- .GlobalEnv[[name]] - value\n .GlobalEnv[[\"highest\"]] <- max(.GlobalEnv[[\"highest\"]], .GlobalEnv[[name]])\n}\n\nlibrary(stringr)\n\nregisters <- str_extract_all(input, \"[a-z]+\") |>\n unlist() |>\n unique() |>\n setdiff(c(\"dec\", \"inc\", \"if\"))\n\nmaterialize <- function(name) {\n .GlobalEnv[[name]] <- 0\n}\n\npurrr::walk(registers, materialize)\n\nreorganize <- function(x) {\n glue::glue(\"if ({x[5]} {x[6]} {x[7]}) {x[2]}({x[1]}, {x[3]})\")\n}\n\nstr_split(input, \" \") |>\n purrr::map_chr(reorganize) |>\n parse(text = _) |>\n eval()\n\nhighest\n\n\n\n[1] 7037\n0.12 sec elapsed\n\nDay 9\nDay 10\nDay 11\nDay 12\nDay 13\nDay 14\nDay 15\nDay 16\nDay 17\nDay 18\nDay 19\nDay 20\nDay 21\nDay 22\nDay 23\nDay 24\nDay 25\n\n\n\n\n", - "last_modified": "2022-12-08T15:44:54-08:00" + "last_modified": "2023-11-30T21:52:25-08:00" }, { "path": "2018.html", "title": "My 2018 Solutions", "author": [], "contents": "\n\n\n\n\n\nDay 1\nPart 1\n\n\ninput <- readLines(\"2018/01-input\")\neval(parse(text = paste(input, collapse = \"\")))\n\n\n\n[1] 425\n0.006 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2018/01-input\")\n\ninput <- as.integer(input)\ninput_len <- length(input)\n\nres <- list()\n\ntotal <- 0\n\ni <- 0\nrepeat {\n total <- total + input[i %% input_len + 1]\n if (is.null(res[as.character(total)][[1]])) {\n res[as.character(total)] <- 1\n } else {\n break\n }\n i <- i + 1\n}\ntotal\n\n\n\n[1] 57538\n464.892 sec elapsed\n\nDay 2\nPart 1\n\n\ninput <- readLines(\"2018/02-input\")\n\nchars <- strsplit(input, \"\")\nx <- input[[1]]\n\ncount_2 <- function(x) {\n any(table(x) == 2)\n}\n\ncount_3 <- function(x) {\n any(table(x) == 3)\n}\n\nsum(purrr::map_lgl(chars, count_2)) * sum(purrr::map_lgl(chars, count_3))\n\n\n\n[1] 6696\n0.052 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2018/02-input\")\n\ndist <- stringdist::stringdistmatrix(input, input)\n\nmatched_strings <- input[which(dist == 1) %% length(input)]\n\nmatched_letters <- strsplit(matched_strings, \"\")\n\npaste(matched_letters[[1]][matched_letters[[1]] == matched_letters[[2]]], collapse = \"\")\n\n\n\n[1] \"bvnfawcnyoeyudzrpgslimtkj\"\n0.215 sec elapsed\n\nDay 3\nPart 1\n\n\nlibrary(stringr)\n\ninput <- readLines(\"2018/03-input\")\n\ndata <- str_match(input, \"(?[0-9]+) @ (?[0-9]+),(?[0-9]+): (?[0-9]+)x(?[0-9]+)\")[,-1]\ndata <- apply(data, 2, as.numeric)\n\ngrid <- matrix(0, 1000, 1000)\n\nfor (i in seq_len(nrow(data))) {\n xs <- data[i, \"left\"] + seq_len(data[i, \"width\"])\n ys <- data[i, \"top\"] + seq_len(data[i, \"height\"])\n grid[xs, ys] <- grid[xs, ys] + 1\n}\n\nsum(grid >= 2)\n\n\n\n[1] 111935\n0.034 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\n\ninput <- readLines(\"2018/03-input\")\n\ndata <- str_match(input, \"(?[0-9]+) @ (?[0-9]+),(?[0-9]+): (?[0-9]+)x(?[0-9]+)\")[,-1]\ndata <- apply(data, 2, as.numeric)\n\ngrid <- matrix(0, 1000, 1000)\n\nfor (i in seq_len(nrow(data))) {\n xs <- data[i, \"left\"] + seq_len(data[i, \"width\"])\n ys <- data[i, \"top\"] + seq_len(data[i, \"height\"])\n if (all(grid[xs, ys] == 1)) break\n}\n\ndata[i, \"id\"]\n\n\n\n id \n1327 \n0.042 sec elapsed\n\nDay 4\nPart 1\n\n\nlibrary(stringr)\ninput <- readLines(\"2018/04-input\") |> sort()\n\ntimes <- str_extract(input, \"\\\\d{4}-\\\\d{2}-\\\\d{2} \\\\d{2}:\\\\d{2}\") |>\n as.POSIXct()\n\ninst <- str_remove(input, \"\\\\[.*\\\\] \")\n\nguard_id <- str_extract(inst, \"\\\\d+\")\n\nshift <- cumsum(!is.na(guard_id))\n\nfor (i in seq_along(guard_id)) {\n if (i == 1) next\n\n if (is.na(guard_id[i])) {\n guard_id[i] <- guard_id[i - 1]\n }\n}\n\nlibrary(dplyr)\n\nsleep_calc <- function(x) {\n rowSums(outer(0:59, lubridate::minute(x)[-1], \">=\")) %% 2\n}\n\nsleep_sched <- tibble(shift, guard_id, inst, times) %>%\n group_by(guard_id, shift) %>%\n summarise(\n minute = 0:59,\n slept = sleep_calc(times), .groups = \"drop\")\n\nsleep_sched %>%\n group_by(guard_id) %>%\n summarise(sum = sum(slept)) %>%\n arrange(desc(sum)) %>%\n slice(1) %>%\n left_join(sleep_sched, by = \"guard_id\") %>%\n filter(slept == 1) %>%\n count(guard_id, minute, sort = TRUE) %>%\n slice(1) %>%\n mutate(res = as.integer(guard_id) * minute) %>%\n pull(res)\n\n\n\n[1] 103720\n0.325 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\ninput <- readLines(\"2018/04-input\") |> sort()\n\ntimes <- str_extract(input, \"\\\\d{4}-\\\\d{2}-\\\\d{2} \\\\d{2}:\\\\d{2}\") |>\n as.POSIXct()\n\ninst <- str_remove(input, \"\\\\[.*\\\\] \")\n\nguard_id <- str_extract(inst, \"\\\\d+\")\n\nshift <- cumsum(!is.na(guard_id))\n\nfor (i in seq_along(guard_id)) {\n if (i == 1) next\n\n if (is.na(guard_id[i])) {\n guard_id[i] <- guard_id[i - 1]\n }\n}\n\nlibrary(dplyr)\n\nsleep_calc <- function(x) {\n rowSums(outer(0:59, lubridate::minute(x)[-1], \">=\")) %% 2\n}\n\nsleep_sched <- tibble(shift, guard_id, inst, times) %>%\n group_by(guard_id, shift) %>%\n summarise(\n minute = 0:59,\n slept = sleep_calc(times), .groups = \"drop\")\n\nsleep_sched %>%\n filter(slept == 1) %>%\n count(guard_id, minute, sort = TRUE) %>%\n slice(1) %>%\n mutate(res = as.integer(guard_id) * minute) %>%\n pull(res)\n\n\n\n[1] 110913\n0.07 sec elapsed\n\nDay 5\nPart 1\n\n\nlibrary(stringr)\n\ninput <- readLines(\"2018/05-input\")\n\nvoids <- c(paste0(letters, LETTERS), paste0(LETTERS, letters))\n\nvoid_regex <- paste0(\"(\", paste(voids, collapse = \"|\"), \")\")\n\nnew <- old <- input\n\nrepeat {\n new <- str_remove_all(old, void_regex)\n if (new == old) break\n old <- new\n}\n\nnchar(new)\n\n\n\n[1] 9078\n12.245 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\n\ninput <- readLines(\"2018/05-input\")\n\nvoids <- c(paste0(letters, LETTERS), paste0(LETTERS, letters))\n\nvoid_regex <- paste0(\"(\", paste(voids, collapse = \"|\"), \")\")\n\nreduce_poly <- function(x, string) {\n string <- str_remove_all(string, x)\n new <- old <- string\n repeat {\n new <- str_remove_all(old, void_regex)\n if (new == old) break\n old <- new\n }\n\n nchar(new)\n}\n\npurrr::map_int(paste0(\"(\", letters, \"|\", LETTERS, \")\"), reduce_poly, input) |>\n min()\n\n\n\n[1] 5698\n302.518 sec elapsed\n\nDay 6\nPart 1\n\n\nlibrary(dplyr)\nlibrary(stringr)\n\ninput <- readLines(\"2018/06-input\")\n\npoint <- str_match(input, \"(?[0-9]+), (?[0-9]+)\")[,-1]\npoint <- apply(point, 2, as.numeric)\n\nmake_range <- function(x) {\n r <- range(point[,\"x\"])\n seq(r[1]- 100, r[2] + 100)\n}\n\ngrid <- expand.grid(X = make_range(point[,\"x\"]), Y = make_range(point[,\"y\"]))\n\nclassify <- function(x, y) {\n\n dists <- abs(point[, \"x\"] - x) + abs(point[, \"y\"] - y)\n\n which_min <- which(dists == min(dists))\n\n if (length(which_min) != 1) {\n return(0)\n } else {\n return(which_min)\n }\n}\n\ngrid <- grid %>%\n mutate(class = purrr::map2_dbl(X, Y, classify))\n\nborder_grid <- grid %>%\n filter(X == min(X) | X == max(X) | Y == min(Y) | Y == max(Y))\n\nborder_classes <- border_grid %>%\n pull(class) %>%\n unique()\n\ngrid %>%\n filter(!class %in% border_classes) %>%\n count(class, sort = TRUE) %>%\n slice(1) %>%\n pull(n)\n\n\n\n[1] 4754\n1.995 sec elapsed\n\nPart 2\n\n\nlibrary(dplyr)\nlibrary(stringr)\n\ninput <- readLines(\"2018/06-input\")\n\npoint <- str_match(input, \"(?[0-9]+), (?[0-9]+)\")[,-1]\npoint <- apply(point, 2, as.numeric)\n\nmake_range <- function(x) {\n r <- range(point[,\"x\"])\n seq(r[1]- 100, r[2] + 100)\n}\n\ngrid <- expand.grid(X = make_range(point[,\"x\"]), Y = make_range(point[,\"y\"]))\n\nclassify <- function(x, y) {\n\n dists <- abs(point[, \"x\"] - x) + abs(point[, \"y\"] - y)\n\n which_min <- which(dists == min(dists))\n\n if (length(which_min) != 1) {\n return(0)\n } else {\n return(which_min)\n }\n}\n\ngrid <- grid %>%\n mutate(class = purrr::map2_dbl(X, Y, classify))\n\nclassify2 <- function(x, y) {\n dists <- abs(point[, \"x\"] - x) + abs(point[, \"y\"] - y)\n\n sum(dists) < 10000\n}\n\ngrid %>%\n mutate(class2 = purrr::map2_dbl(X, Y, classify2)) %>%\n filter(class2 == 1) %>%\n nrow()\n\n\n\n[1] 42344\n3.257 sec elapsed\n\nDay 7\nPart 1\n\n\nlibrary(stringr)\n\ninput <- readLines(\"2018/07-input\")\n\nfrom <- str_sub(input, 6, 6)\nto <- str_sub(input, 37, 37)\n\nletters <- c(from, to) |> unique() |> sort()\n\ngraph <- purrr::map(letters, ~character(0)) |>\n setNames(letters)\n\nfor (i in seq_along(from)) {\n graph[[to[i]]] <- c(graph[[to[i]]], from[i])\n}\n\nres <- character()\n\nrepeat {\n selection <- names(which.min(lengths(graph)))[1]\n\n res <- c(res, selection)\n\n graph <- graph[names(graph) != selection]\n\n if (length(graph) == 0) break\n\n graph <- purrr::map(graph, setdiff, selection)\n}\n\npaste0(res, collapse = \"\")\n\n\n\n[1] \"CABDFE\"\n0.012 sec elapsed\n\nDay 8\nDay 9\nDay 10\nDay 11\nDay 12\nDay 13\nDay 14\nDay 15\nDay 16\nDay 17\nDay 18\nDay 19\nDay 20\nDay 21\nDay 22\nDay 23\nDay 24\nDay 25\n\n\n\n\n", - "last_modified": "2022-12-08T15:44:56-08:00" + "last_modified": "2023-11-30T21:52:27-08:00" }, { "path": "2019.html", "title": "My 2019 Solutions", "author": [], "contents": "\n\n\n\n\n\nDay 1\nPart 1\n\n\ninput <- scan(\"2019/01-input\")\n\nsum(floor(input / 3) - 2)\n\n\n\n[1] 3368364\n0.001 sec elapsed\n\nPart 2\n\n\ninput <- scan(\"2019/01-input\")\n\ncalc_fuel <- function(x) {\n total <- 0\n repeat {\n fuel <- floor(x / 3) - 2\n if (fuel <= 0) return(total)\n total <- total + fuel\n x <- fuel\n }\n}\nvapply(input, calc_fuel, FUN.VALUE = numeric(1)) |>\n sum()\n\n\n\n[1] 5049684\n0.002 sec elapsed\n\nDay 2\nDay 3\nDay 4\nPart 1\n\n\nlibrary(purrr)\n\ninput <- 136818:685979\n\nchars <- input |>\n as.character() |>\n strsplit(\"\") |>\n map(as.numeric)\n\nmap_lgl(chars, ~ any(diff(.x) == 0) & all(diff(.x) >= 0)) |>\n sum()\n\n\n\n[1] 1919\n8.552 sec elapsed\n\nPart 2\n\n\nlibrary(purrr)\n\ninput <- 136818:685979\n\nchars <- input |>\n as.character() |>\n strsplit(\"\") |>\n map(as.numeric)\n\ncheck <- function(x) {\n x_rle <- rle(diff(x))\n if (all(x_rle$values != 0)) {\n return(FALSE)\n }\n\n if (any(x_rle$lengths[x_rle$values == 0] == 1)) {\n return(TRUE)\n }\n FALSE\n}\n\nmap_lgl(chars, ~ all(diff(.x) >= 0) & check(.x)) |>\n sum()\n\n\n\n[1] 1291\n16.432 sec elapsed\n\nDay 5\nDay 6\nDay 7\nDay 8\nDay 9\nDay 10\nDay 11\nDay 12\nDay 13\nDay 14\nDay 15\nDay 16\nDay 17\nDay 18\nDay 19\nDay 20\nDay 21\nDay 22\nDay 23\nDay 24\nDay 25\n\n\n\n\n", - "last_modified": "2022-12-08T15:44:57-08:00" + "last_modified": "2023-11-30T21:52:28-08:00" }, { "path": "2020.html", "title": "My 2020 Solutions", "author": [], "contents": "\n\n\n\n\n\nDay 1\nPart 1\n\n\ninput <- as.numeric(readLines(\"2020/01-input\"))\n\nsum2 <- function(input, target) {\n for (i in input) {\n for (j in input) {\n if (i + j == target) {\n return(i * j)\n }\n }\n }\n}\n\nsum2(input, 2020)\n\n\n\n[1] 691771\n0.01 sec elapsed\n\nPart 2\n\n\ninput <- as.numeric(readLines(\"2020/01-input\"))\n\nsum3 <- function(input, target) {\n for (i in input) {\n for (j in input) {\n for (l in input) {\n if (i + j + l == target) {\n return(i * j * l)\n }\n }\n }\n }\n}\n\nsum3(input, 2020)\n\n\n\n[1] 232508760\n0.043 sec elapsed\n\nDay 2\nPart 1\n\n\nlibrary(purrr)\nlibrary(stringr)\n\ninput <- readLines(\"2020/02-input\")\n\npassword_check <- function(x) {\n numbers <- as.numeric(str_extract_all(x, \"[0-9]+\")[[1]])\n chars <- str_extract_all(x, \"[a-z]+\")[[1]]\n\n count <- str_count(chars[2], chars[1])\n (numbers[1] <= count) & (numbers[2] >= count)\n}\n\nsum(map_lgl(input, password_check))\n\n\n\n[1] 439\n0.078 sec elapsed\n\nPart 2\n\n\nlibrary(purrr)\nlibrary(stringr)\n\ninput <- readLines(\"2020/02-input\")\n\npassword_check_2 <- function(x) {\n numbers <- as.numeric(str_extract_all(x, \"[0-9]+\")[[1]])\n chars <- str_extract_all(x, \"[a-z]+\")[[1]]\n\n loc1 <- str_sub(chars[2], numbers[1], numbers[1])\n loc2 <- str_sub(chars[2], numbers[2], numbers[2])\n\n sum(loc1 == chars[1], loc2 == chars[1]) == 1\n\n}\n\nsum(map_lgl(input, password_check_2))\n\n\n\n[1] 584\n0.063 sec elapsed\n\nDay 3\nPart 1\n\n\nlibrary(purrr)\n\ninput <- readLines(\"2020/03-input\")\n\n# turn input into logical matrix\nmat <- strsplit(input, \"\") %>%\n map(~.x == \"#\") %>%\n reduce(rbind)\n\ntraverse <- function(mat, right, down) {\n x <- y <- 1\n\n height <- nrow(mat)\n width <- ncol(mat)\n\n # Check tree collision\n trees <- 0\n repeat {\n y <- y + down\n x <- (x + right) %% width\n x <- ifelse(x == 0, width, x)\n trees <- trees + mat[y, x]\n if (y >= height) break\n }\n trees\n}\n\ntraverse(mat, 3, 1)\n\n\n\nelt \n214 \n0.017 sec elapsed\n\nPart 2\n\n\nlibrary(purrr)\n\ninput <- readLines(\"2020/03-input\")\n\n# turn input into logical matrix\nmat <- strsplit(input, \"\") %>%\n map(~.x == \"#\") %>%\n reduce(rbind)\n\ntraverse <- function(mat, right, down) {\n x <- y <- 1\n\n height <- nrow(mat)\n width <- ncol(mat)\n\n # Check tree collision\n trees <- 0\n repeat {\n y <- y + down\n x <- (x + right) %% width\n x <- ifelse(x == 0, width, x)\n trees <- trees + mat[y, x]\n if (y >= height) break\n }\n trees\n}\n\nprod(\n traverse(mat, 1, 1),\n traverse(mat, 3, 1),\n traverse(mat, 5, 1),\n traverse(mat, 7, 1),\n traverse(mat, 1, 2)\n)\n\n\n\n[1] 8336352024\n0.016 sec elapsed\n\nDay 4\nPart 1\n\n\nlibrary(purrr)\nlibrary(stringr)\nlibrary(magrittr)\n\ninput <- readLines(\"2020/04-input\")\n\npassports <- str_split(paste(input, collapse = \"\\n\"), \"\\n\\n\")[[1]]\n\nmatches <- c(\"byr\", \"iyr\", \"eyr\", \"hgt\", \"hcl\", \"ecl\", \"pid\")\n\nvalid <- str_extract_all(passports, paste0(matches, collapse = \"|\")) %>%\n map_lgl(~all(matches %in% .x))\n\nsum(valid)\n\n\n\n[1] 182\n0.013 sec elapsed\n\nPart 2\n\n\nlibrary(purrr)\nlibrary(stringr)\nlibrary(magrittr)\n\ninput <- readLines(\"2020/04-input\")\n\npassports <- str_split(paste(input, collapse = \"\\n\"), \"\\n\\n\")[[1]]\n\nmatches <- c(\"byr\", \"iyr\", \"eyr\", \"hgt\", \"hcl\", \"ecl\", \"pid\")\n\nvalid <- str_extract_all(passports, paste0(matches, collapse = \"|\")) %>%\n map_lgl(~all(matches %in% .x))\n\ncreate_list <- function(x) {\n x <- str_split(x, \"[ \\n]\")[[1]]\n x_split <- str_split(x, \":\")\n\n setNames(map(x_split, 2), map(x_split, 1))\n}\n\npassword_df <- passports[valid] %>%\n map_dfr(create_list)\n\nint <- as.integer\n\ncheck_byr <- function(x) int(x) >= 1920 & int(x) <= 2002\n\ncheck_iyr <- function(x) int(x) >= 2010 & int(x) <= 2020\n\ncheck_eyr <- function(x) int(x) >= 2020 & int(x) <= 2030\n\ncheck_hgt <- function(x) {\n value <- as.numeric(str_extract(x, \"[0-9]+\"))\n unit <- str_remove(x, \"[0-9]+\")\n\n if_else(\n unit %in% c(\"in\", \"cm\"),\n if_else(\n unit == \"in\",\n value >= 59 & value <= 76,\n value >= 150 & value <= 193\n ),\n FALSE\n )\n}\n\ncheck_hcl <- function(x) {\n str_detect(x, \"#[0-9a-f]{6}\")\n}\n\ncheck_ecl <- function(x) {\n x %in% c(\"amb\", \"blu\", \"brn\", \"gry\", \"grn\", \"hzl\", \"oth\")\n}\n\ncheck_pid <- function(x) {\n str_detect(x, \"^[0-9]{9}$\")\n}\n\nlibrary(dplyr)\n\npassword_df %>%\n filter(\n check_hgt(hgt),\n check_byr(byr),\n check_hcl(hcl),\n check_ecl(ecl),\n check_pid(pid),\n check_iyr(iyr),\n check_eyr(eyr)\n ) %>%\n nrow()\n\n\n\n[1] 109\n0.093 sec elapsed\n\nDay 5\nPart 1\n\n\ninput <- readLines(\"2020/05-input\")\n\ninput <- gsub(c(\"[FL]\"), c(\"0\"), input)\ninput <- gsub(c(\"[BR]\"), c(\"1\"), input)\n\nid <- strtoi(input, base = 2)\n\nmax(id)\n\n\n\n[1] 888\n0.006 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2020/05-input\")\n\ninput <- gsub(c(\"[FL]\"), c(\"0\"), input)\ninput <- gsub(c(\"[BR]\"), c(\"1\"), input)\n\nid <- strtoi(input, base = 2)\n\nsetdiff(seq(min(id), max(id)), id)\n\n\n\n[1] 522\n0.007 sec elapsed\n\nDay 6\nPart 1\n\n\nlibrary(tidyverse)\nlibrary(tidytext)\n\nanswers <- read_file(\"2020/06-input\") %>%\n tibble(input = .) %>%\n unnest_paragraphs(text, input) %>%\n rowid_to_column(\"group_id\") %>%\n unnest_tokens(text, text) %>%\n rowid_to_column(\"person_id\") %>%\n unnest_characters(text, text)\n\nanswers %>%\n count(group_id, text) %>%\n nrow()\n\n\n\n[1] 6542\n1.752 sec elapsed\n\nPart 2\n\n\nlibrary(tidyverse)\nlibrary(tidytext)\n\nanswers <- read_file(\"2020/06-input\") %>%\n tibble(input = .) %>%\n unnest_paragraphs(text, input) %>%\n rowid_to_column(\"group_id\") %>%\n unnest_tokens(text, text) %>%\n rowid_to_column(\"person_id\") %>%\n unnest_characters(text, text)\n\nanswers %>%\n group_by(group_id) %>%\n mutate(group_size = n_distinct(person_id)) %>%\n count(group_size, text) %>%\n filter(group_size == n) %>%\n nrow()\n\n\n\n[1] 3299\n0.103 sec elapsed\n\nDay 7\nPart 1\n\n\nlibrary(stringr)\ninput <- readLines(\"2020/07-input\")\n\ncontaining_bag <- function(x) {\n str_extract(str_subset(input, paste0(\".+\", x)), \"^.+?bag\")\n}\n\nused_bags <- c()\n\nnew_bags <- \"shiny gold bag\"\n\nrepeat {\n newer_bags <- unique(unlist(lapply(new_bags, containing_bag)))\n\n if (length(newer_bags) == 0) {\n used_bags <- c(used_bags, new_bags)\n break\n }\n\n used_bags <- c(used_bags, new_bags)\n\n new_bags <- setdiff(newer_bags, used_bags)\n}\n\nlength(setdiff(used_bags, \"shiny gold bag\"))\n\n\n\n[1] 238\n5.546 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\ninput <- readLines(\"2020/07-input\")\n\nbags <- str_extract_all(input, \"(?<=[0-9] ).*?bag\")\nnumber <- str_extract_all(input, \"[0-9]+\")\nnumber <- lapply(number, as.integer)\nnames(number) <- names(bags) <- str_extract(input, \"^.+?bag\")\n\nfind_size <- function(x, n) {\n contains <- bags[[x]]\n if (length(contains) == 0) return(n)\n n_bags <- map2_int(contains, number[[x]], find_size)\n sum(c(n_bags, 1L) * n)\n}\n\nfind_size(x = \"shiny gold bag\", n = 1) - 1\n\n\n\n[1] 82930\n0.016 sec elapsed\n\nDay 8\nPart 1\n\n\ninput <- readLines(\"2020/08-input\")\n\nrun <- function(input, part2 = FALSE) {\n len <- length(input)\n n_times <- integer(len)\n\n accumulator <- 0\n\n i <- 1\n\n repeat {\n x <- strsplit(input[i], \" \")[[1]]\n\n n_times[i] <- n_times[i] + 1\n\n if (i > len) {\n return(accumulator)\n }\n if (n_times[i] == 2) {\n if (part2) {\n return(NA)\n } else {\n return(accumulator)\n }\n }\n\n if (x[1] == \"nop\") {\n i <- i + 1\n } else if (x[1] == \"acc\") {\n accumulator <- accumulator + readr::parse_number(x[2])\n i <- i + 1\n } else if (x[1] == \"jmp\") {\n i <- i + readr::parse_number(x[2])\n }\n }\n}\n\nrun(input)\n\n\n\n[1] 1654\n0.224 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\n\ninput <- readLines(\"2020/08-input\")\n\nrun <- function(input, part2 = FALSE) {\n len <- length(input)\n n_times <- integer(len)\n\n accumulator <- 0\n\n i <- 1\n\n repeat {\n x <- strsplit(input[i], \" \")[[1]]\n\n n_times[i] <- n_times[i] + 1\n\n if (i > len) {\n return(accumulator)\n }\n if (n_times[i] == 2) {\n if (part2) {\n return(NA)\n } else {\n return(accumulator)\n }\n }\n\n if (x[1] == \"nop\") {\n i <- i + 1\n } else if (x[1] == \"acc\") {\n accumulator <- accumulator + readr::parse_number(x[2])\n i <- i + 1\n } else if (x[1] == \"jmp\") {\n i <- i + readr::parse_number(x[2])\n }\n }\n}\n\nfor (i in seq_along(input)) {\n input0 <- input\n if (str_detect(input0[i], \"acc\")) next\n\n if (str_detect(input0[i], \"nop\")) {\n input0[i] <- str_replace(input0[i], \"nop\", \"jmp\")\n } else {\n input0[i] <- str_replace(input0[i], \"jmp\", \"nop\")\n }\n\n res <- run(input0, part2 = TRUE)\n if(!is.na(res)) break\n}\nres\n\n\n\n[1] 833\n17.011 sec elapsed\n\nDay 9\nPart 1\n\n\ninput <- as.numeric(readLines(\"2020/09-input\"))\n\ni <- 1\n\nrepeat {\n sums <- colSums(combn(input[seq(i, i + 24)], 2))\n if(!any(input[i + 25] == sums)) break\n i <- i + 1\n}\n\ninput[i + 25]\n\n\n\n[1] 1930745883\n0.162 sec elapsed\n\nPart 2\n\n\ninput <- as.numeric(readLines(\"2020/09-input\"))\n\ni <- 1\n\nrepeat {\n sums <- colSums(combn(input[seq(i, i + 24)], 2))\n if(!any(input[i + 25] == sums)) break\n i <- i + 1\n}\n\ntarget <- input[i + 25]\n\ni <- 1\nstep <- 1\n\nrepeat {\n res <- sum(input[seq(i, i + step)])\n\n if (res == target) break\n\n if (res > target) {\n i <- i + 1\n step <- 1\n next\n }\n step <- step + 1\n}\n\nsum(range(input[seq(i, i + step)]))\n\n\n\n[1] 268878261\n1.353 sec elapsed\n\nDay 10\nPart 1\n\n\ninput <- as.integer(readLines(\"2020/10-input\"))\n\nres <- table(diff(sort(input)))\n\nprod(res + 1)\n\n\n\n[1] 1984\n0.002 sec elapsed\n\nPart 2\n\n\ninput <- sort(as.integer(readLines(\"2020/10-input\")))\n\nruns <- rle(c(diff(c(0, input))))\nweights <- c(1, 2, 4, 7)\n\noptions(scipen = 999)\nprod(weights[runs$lengths[runs$values == 1]])\n\n\n\n[1] 3543369523456\n0.002 sec elapsed\n\nDay 11\nPart 1\n\n\ninput <- readLines(\"2020/11-input\")\n\n# turn input into logical matrix\nmat <- strsplit(input, \"\") %>%\n reduce(rbind)\n\nreplace <- mat\n\nrepeat {\n for (i in seq_len(nrow(mat))) {\n for (j in seq_len(ncol(mat))) {\n if (mat[i, j] == \".\") next\n\n temp_mat <- mat\n temp_mat[i, j] <- \"\"\n\n conv <- temp_mat[seq(max(i-1, 1), min(i+1, nrow(mat))),\n seq(max(j-1, 1), min(j+1, ncol(mat)))]\n\n if (mat[i, j] == \"L\") {\n if (all(conv != \"#\")) {\n replace[i, j] <- \"#\"\n }\n }\n\n if (mat[i, j] == \"#\") {\n if (sum(conv == \"#\") >= 4) {\n replace[i, j] <- \"L\"\n }\n }\n }\n }\n\n if (identical(mat, replace)) break\n mat <- replace\n}\n\nsum(mat == \"#\")\n\n\n\n[1] 2113\n35.157 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2020/11-input\")\n\n# turn input into logical matrix\nmat <- strsplit(input, \"\") %>%\n reduce(rbind)\n\nfind_neighbor <- function(mat, i, j, x, y) {\n res <- \".\"\n i <- i + y\n j <- j + x\n while (i > 0 & j > 0 & j <= ncol(mat) & i <= nrow(mat)) {\n value <- mat[i,j]\n if (value != \".\") {\n res <- value\n break\n }\n i <- i + y\n j <- j + x\n }\n res\n}\n\nfind_all_neighbors <- function(mat, i, j) {\n\n up <- find_neighbor(mat, i, j, 0, -1)\n down <- find_neighbor(mat, i, j, 0, 1)\n right <- find_neighbor(mat, i, j, -1, 0)\n left <- find_neighbor(mat, i, j, 1, 0)\n\n upright <- find_neighbor(mat, i, j, 1, -1)\n upleft <- find_neighbor(mat, i, j, -1, -1)\n downright <- find_neighbor(mat, i, j, 1, 1)\n downleft <- find_neighbor(mat, i, j, -1, 1)\n\n c(up, down, right, left, upright, upleft, downright, downleft)\n}\n\nreplace <- mat\n\nrepeat {\n for (i in seq_len(nrow(mat))) {\n for (j in seq_len(ncol(mat))) {\n if (mat[i, j] == \".\") next\n\n conv <- find_all_neighbors(mat, i, j)\n\n\n if (mat[i, j] == \"L\") {\n if (all(conv != \"#\")) {\n replace[i, j] <- \"#\"\n }\n }\n\n if (mat[i, j] == \"#\") {\n if (sum(conv == \"#\") >= 5) {\n replace[i, j] <- \"L\"\n }\n }\n }\n }\n\n if (identical(mat, replace)) break\n\n mat <- replace\n}\n\nsum(mat == \"#\")\n\n\n\n[1] 1865\n18.343 sec elapsed\n\nDay 12\nPart 1\n\n\ninput <- readLines(\"2020/12-input\")\n\nship <- c(0, 0)\ndirection <- c(1, 0)\n\nrotate <- function(x, phi) {\n c(x[1] * cos(phi * pi / 180) - x[2] * sin(phi * pi / 180),\n x[1] * sin(phi * pi / 180) + x[2] * cos(phi * pi / 180))\n}\n\nfor (i in input) {\n value <- as.numeric(str_extract(i, \"[0-9]+\"))\n switch(\n substr(i, 1, 1),\n N = {ship[2] <- ship[2] + value},\n S = {ship[2] <- ship[2] - value},\n E = {ship[1] <- ship[1] + value},\n W = {ship[1] <- ship[1] - value},\n L = {direction <- rotate(direction, value)},\n R = { direction <- rotate(direction, -value)},\n F = {ship <- ship + direction * value}\n )\n}\n\nsum(abs(ship))\n\n\n\n[1] 1496\n0.033 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2020/12-input\")\n\nship <- c(0, 0)\n\nwaypoint <- c(10, 1)\n\nrotate <- function(x, phi) {\n c(x[1] * cos(phi * pi / 180) - x[2] * sin(phi * pi / 180),\n x[1] * sin(phi * pi / 180) + x[2] * cos(phi * pi / 180))\n}\n\nfor (i in input) {\n value <- as.numeric(str_extract(i, \"[0-9]+\"))\n\n switch(\n substr(i, 1, 1),\n N = {waypoint[2] <- waypoint[2] + value},\n S = {waypoint[2] <- waypoint[2] - value},\n E = {waypoint[1] <- waypoint[1] + value},\n W = {waypoint[1] <- waypoint[1] - value},\n L = {waypoint <- rotate(waypoint, value)},\n R = {waypoint <- rotate(waypoint, -value)},\n F = {ship <- ship + waypoint * value}\n )\n}\n\nsum(abs(ship))\n\n\n\n[1] 63843\n0.024 sec elapsed\n\nDay 13\nPart 1\n\n\ninput <- readLines(\"2020/13-input\")\n\ntarget <- as.integer(input[1])\nids <- as.integer(str_extract_all(input[2], \"[0-9]+\")[[1]])\n\ntime_past <- ceiling(target / ids) * ids\nwhich_min <- min(time_past) == time_past\n\n(time_past[which_min] - target) * ids[which_min]\n\n\n\n[1] 2845\n0.002 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2020/13-input\")\n\nids <- as.numeric(str_split(input[2], \",\")[[1]])\noffset <- seq_along(ids) - 1\noffset <- offset[!is.na(ids)]\nids <- ids[!is.na(ids)]\n\ntimestamp <- 1\nstep <- 1\n\nfor (i in seq_along(ids)) {\n repeat {\n if ((timestamp + offset[i]) %% ids[i] == 0) break\n timestamp <- timestamp + step\n }\n\n step <- prod(ids[seq_len(i)])\n}\n\noptions(scipen = 999)\ntimestamp\n\n\n\n[1] 487905974205117\n0.007 sec elapsed\n\nDay 14\nPart 1\n\n\nlibrary(stringr)\n\ninput <- readLines(\"2020/14-input\")\n\nintTo36 <- function(x) {\n as.character(c(rep(0, 4), rev(as.integer(intToBits(x)))))\n}\n\n`[<-.memory` <- function(x, i, value) {\n res <- intTo36(value)\n res[mask != \"X\"] <- mask[mask != \"X\"]\n x[[i]] <- res\n x\n}\n\nmem <- list()\nattr(mem, \"class\") <- \"memory\"\n\nfor (line in input) {\n if (grepl(\"^mask\", line)) {\n mask <- strsplit(str_extract(line, \"[X0-9]+\"), \"\")[[1]]\n next\n }\n eval(parse(text = line))\n}\n\noptions(scipen = 999)\nsum(map_dbl(mem, ~ sum(as.numeric(.x) * (2 ^ seq(35, 0)))))\n\n\n\n[1] 15514035145260\n0.831 sec elapsed\n\nPart 2\nDay 15\nPart 1\n\n\ninput <- c(16,1,0,18,12,14,19)\n\nres <- rep(-1, 2020)\nres[seq_along(input)] <- input\nfor (i in 8:2020) {\n if (sum(res == res[i- 1]) == 1) {\n res[i] <- 0\n } else {\n last_calls <- which(res == res[i- 1])\n res[i] <- last_calls[length(last_calls)] - last_calls[length(last_calls) - 1]\n }\n}\nrev(res)[1]\n\n\n\n[1] 929\n0.056 sec elapsed\n\nPart 2\nDay 16\nPart 1\n\n\nlibrary(tidyverse)\ninput <- readLines(\"2020/16-input\")\nbreaks <- which(input == \"\")\n\nvalid_values <- input[seq(1, min(breaks) - 1)] %>%\n str_extract_all(\"[0-9]+\") %>%\n map(as.numeric) %>%\n map(~ c(seq(.x[1], .x[2]), seq(.x[3], .x[4])))\n\ntickets <- read.csv(\"2020/16-input\", header = FALSE,\n skip = which(input == \"nearby tickets:\"))\n\nall_valid_values <- unlist(valid_values)\n\ncheck_value <- function(x, ref) {\n map_dbl(x, ~ ifelse(.x %in% ref, NA, .x))\n}\n\nwrong <- apply(tickets, 2, check_value, all_valid_values)\n\nsum(wrong, na.rm = TRUE)\n\n\n\n[1] 20060\n0.359 sec elapsed\n\nPart 2\n\n\nlibrary(tidyverse)\ninput <- readLines(\"2020/16-input\")\nbreaks <- which(input == \"\")\n\nvalid_values <- input[seq(1, min(breaks) - 1)] %>%\n str_extract_all(\"[0-9]+\") %>%\n map(as.numeric) %>%\n map(~ c(seq(.x[1], .x[2]), seq(.x[3], .x[4])))\n\ntickets <- read.csv(\"2020/16-input\", header = FALSE,\n skip = which(input == \"nearby tickets:\"))\n\nall_valid_values <- unlist(valid_values)\n\ncheck_value <- function(x, ref) {\n map_dbl(x, ~ ifelse(.x %in% ref, NA, .x))\n}\n\nwrong <- apply(tickets, 2, check_value, all_valid_values)\n\nvalid_ticket <- tickets[rowSums(!is.na(wrong)) == 0, ]\n\ncan_be <- function(x) {\n which(map_lgl(valid_values, ~all(x %in% .x)))\n}\n\npos <- numeric(length(valid_values))\n\ncandidates <- map(valid_ticket, can_be)\n\nrepeat {\n variable_ind <- which(lengths(candidates) == 1)\n if(length(variable_ind) == 0) break\n\n ref_ind <- candidates[[variable_ind]]\n\n pos[variable_ind] <- ref_ind\n\n candidates <- map(candidates, setdiff, ref_ind)\n}\n\nmy_ticket <- as.numeric(str_split(input[min(breaks) + 2], \",\")[[1]])\n\nfields <- input[seq(1, min(breaks) - 1)] %>%\n str_detect(\"^departure\")\n\noptions(scipen = 999)\nprod(my_ticket[fields[pos]])\n\n\n\n[1] 2843534243843\n0.249 sec elapsed\n\nDay 17\nPart 1\n\n\nlibrary(dplyr)\nlibrary(tidyr)\n\ninput <- readLines(\"2020/17-input\")\n\nstart <- tibble(\n x = rep(seq(7, 14), 8),\n y = rev(rep(seq(7, 14), each = 8)),\n z = 10,\n state = strsplit(input, \"\") %>% unlist()\n)\n\nspace <- expand_grid(x = seq(1, 20), y = seq(1, 20), z = seq(1, 20)) %>%\n left_join(start, by = c(\"x\", \"y\", \"z\")) %>%\n mutate(state = if_else(is.na(state), \".\", state)) %>%\n mutate(row = row_number())\n\nfind_neighbors <- function(dat) {\n space %>%\n filter(abs(x - dat$x) <= 1, abs(y - dat$y) <= 1, abs(z - dat$z) <= 1,\n !(x == dat$x & y == dat$y & z == dat$z)) %>%\n pull(row)\n}\n\nall_neighbors <- map(seq_len(nrow(space)), ~find_neighbors(space[.x, ]))\n\nnext_state <- function(x, nbs) {\n if (x == \"#\") {\n if (sum(nbs == \"#\") %in% c(2, 3)) {\n return(\"#\")\n } else {\n return(\".\")\n }\n } else {\n if (sum(nbs == \"#\") == 3) {\n return(\"#\")\n } else {\n return(\".\")\n }\n }\n}\n\nfor(iter in 1:6) {\n all_neighbors_states <- map(all_neighbors, ~ space$state[.x])\n space$state <- map2_chr(space$state, all_neighbors_states, next_state)\n}\n\nsum(space$state == \"#\")\n\n\n\n[1] 280\n18.453 sec elapsed\n\nPart 2\n\n\nlibrary(dplyr)\nlibrary(tidyr)\ninput <- readLines(\"2020/17-input\")\n\n\nstart <- tibble(\n x = rep(seq(7, 14), 8),\n y = rev(rep(seq(7, 14), each = 8)),\n z = 0,\n w = 0,\n state = strsplit(input, \"\") %>% unlist()\n)\n\nspace <- expand_grid(x = seq(1, 20),\n y = seq(1, 20),\n z = seq(-6, 6),\n w = seq(-6, 6)) %>%\n left_join(start, by = c(\"x\", \"y\", \"z\", \"w\")) %>%\n mutate(state = if_else(is.na(state), \".\", state)) %>%\n mutate(row = row_number())\n\nfind_neighbors <- function(dat) {\n space %>%\n filter(abs(x - dat$x) <= 1,\n abs(y - dat$y) <= 1,\n abs(z - dat$z) <= 1,\n abs(w - dat$w) <= 1,\n !(x == dat$x & y == dat$y & z == dat$z & w == dat$w)) %>%\n pull(row)\n}\n\nall_neighbors <- map(seq_len(nrow(space)), ~find_neighbors(space[.x, ]))\n\nnext_state <- function(x, nbs) {\n if (x == \"#\") {\n if (sum(nbs == \"#\") %in% c(2, 3)) {\n return(\"#\")\n } else {\n return(\".\")\n }\n } else {\n if (sum(nbs == \"#\") == 3) {\n return(\"#\")\n } else {\n return(\".\")\n }\n }\n}\n\nfor(iter in 1:6) {\n all_neighbors_states <- map(all_neighbors, ~ space$state[.x])\n space$state <- map2_chr(space$state, all_neighbors_states, next_state)\n}\n\nsum(space$state == \"#\")\n\n\n\n[1] 1696\n442.808 sec elapsed\n\nDay 18\nPart 1\n\n\nlibrary(stringr)\nlibrary(purrr)\ninput <- readLines(\"2020/18-input\")\n\n`%+%` <- function(a, b) a + b\n`%*%` <- function(a, b) a * b\n\neval_string <- function(x) {\n map_dbl(x, ~eval(parse(text = .x)))\n}\n\noptions(scipen = 999)\ninput %>%\n str_replace_all(c(\"\\\\+\" = \"%\\\\+%\", \"\\\\*\" = \"%\\\\*%\")) %>%\n eval_string() %>%\n sum()\n\n\n\n[1] 8298263963837\n0.014 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\nlibrary(purrr)\ninput <- readLines(\"2020/18-input\")\n\neval_string_rev <- function(x) {\n rev_env <- new.env()\n rev_env$`+` <- function(a, b) base::`*`(a, b)\n rev_env$`*` <- function(a, b) base::`+`(a, b)\n map_dbl(x, ~eval(parse(text = .x), envir = rev_env))\n}\n\noptions(scipen = 999)\ninput %>%\n str_replace_all(c(\"\\\\+\" = \"temp\", \"\\\\*\" = \"+\", \"temp\" = \"*\")) %>%\n eval_string_rev() %>%\n sum()\n\n\n\n[1] 145575710203332\n0.01 sec elapsed\n\nDay 19\nPart 1\n\n\nlibrary(stringr)\nlibrary(purrr)\ninput <- readLines(\"2020/19-input\")\nbreak_point <- which(input == \"\")\n\nrules_raw <- input[seq(1, break_point - 1)]\nrules_raw <- str_remove_all(rules_raw, \"\\\"\")\nrules_raw <- str_split(rules_raw, \": \")\nrules <- map_chr(rules_raw, 2)\nrules <- map_chr(str_split(rules, \" \"), ~paste(glue::glue(\"_{.x}_\"),collapse = \"\"))\nrules <- str_replace_all(rules, c(\"_\\\\|_\" = \"\\\\|\", \"_a_\" = \"a\", \"_b_\" = \"b\"))\nrules <- paste0(\"(\", rules, \")\")\nnames(rules) <- paste0(\"_\", map(rules_raw, 1), \"_\")\n\nmessages <- input[seq(break_point + 1, length(input))]\n\nmaster <- \"_0_\"\nwhile(str_detect(master, \"[0-9]\")) {\n master <- str_replace_all(master, rules)\n}\n\nsum(str_detect(messages, glue::glue(\"^{master}$\")))\n\n\n\n[1] 162\n0.115 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\nlibrary(purrr)\ninput <- readLines(\"2020/19-input\")\nbreak_point <- which(input == \"\")\n\nrules_raw <- input[seq(1, break_point - 1)]\nrules_raw <- str_remove_all(rules_raw, \"\\\"\")\nrules_raw <- str_split(rules_raw, \": \")\nrules <- map_chr(rules_raw, 2)\nrules <- map_chr(str_split(rules, \" \"), ~paste(glue::glue(\"_{.x}_\"),collapse = \"\"))\nrules <- str_replace_all(rules, c(\"_\\\\|_\" = \"\\\\|\", \"_a_\" = \"a\", \"_b_\" = \"b\"))\nrules <- paste0(\"(\", rules, \")\")\nnames(rules) <- paste0(\"_\", map(rules_raw, 1), \"_\")\nrules[\"_8_\"] <- \"(_42_+)\"\nrules[\"_11_\"] <- \"(_42__31_|_42__42__31__31_|_42__42__42__31__31__31_|_42__42__42__42__31__31__31__31_|_42__42__42__42__42__31__31__31__31__31_|_42__42__42__42__42__42__42__31__31__31__31__31__31__31_)\"\n\nmessages <- input[seq(break_point + 1, length(input))]\n\nmaster <- \"_0_\"\nwhile(str_detect(master, \"[0-9]\")) {\n master <- str_replace_all(master, rules)\n}\n\nsum(grepl(glue::glue(\"^{master}$\"), messages))\n\n\n\n[1] 267\n0.282 sec elapsed\n\nDay 20\nPart 1\n\n\nlibrary(tidyverse)\n\ninput <- read_file(\"2020/20-input\")\ninput <- str_remove(input, \"\\n$\")\n\ntiles <- str_split(input, \"\\n\\n\")[[1]]\n\ntile_info <- function(x) {\n lines <- str_split(x, \"\\n\")[[1]]\n\n id <- str_extract(lines[1], \"[0-9]+\")\n grid <- lines[-1]\n\n sides <- c(\n paste0(str_sub(grid, 1, 1), collapse = \"\"),\n paste0(str_sub(grid, length(grid), length(grid)), collapse = \"\"),\n grid[c(1, length(grid))]\n )\n\n tibble(id, side = c(sides, stringi::stri_reverse(sides)))\n}\n\ntile_sides <- map_dfr(tiles, tile_info)\n\noptions(scipen = 999)\njoints <- inner_join(tile_sides, tile_sides, by = \"side\") %>%\n filter(id.x != id.y) %>%\n transmute(pair = map2_chr(id.x, id.y, ~\n paste(sort(c(.x, .y)), collapse = \" \")\n )) %>%\n distinct() %>%\n separate(pair, c(\"a\", \"b\"), \" \")\n\njoints %>%\n pivot_longer(everything()) %>%\n count(value) %>%\n filter(n == 2) %>%\n summarize(res = prod(as.numeric(value))) %>%\n pull(res)\n\n\n\n[1] 18482479935793\n0.227 sec elapsed\n\nPart 2\n\n\nlibrary(tidyverse)\n\ninput <- read_file(\"2020/20-input\")\ninput <- str_remove(input, \"\\n$\")\n\ntiles <- str_split(input, \"\\n\\n\")[[1]]\n\ntile_info <- function(x) {\n lines <- str_split(x, \"\\n\")[[1]]\n\n id <- str_extract(lines[1], \"[0-9]+\")\n grid <- lines[-1]\n\n sides <- c(\n paste0(str_sub(grid, 1, 1), collapse = \"\"),\n paste0(str_sub(grid, length(grid), length(grid)), collapse = \"\"),\n grid[c(1, length(grid))]\n )\n\n tibble(id, side = c(sides, stringi::stri_reverse(sides)))\n}\n\ntile_sides <- map_dfr(tiles, tile_info)\n\noptions(scipen = 999)\njoints <- inner_join(tile_sides, tile_sides, by = \"side\") %>%\n filter(id.x != id.y) %>%\n transmute(pair = map2_chr(id.x, id.y, ~\n paste(sort(c(.x, .y)), collapse = \" \")\n )) %>%\n distinct() %>%\n separate(pair, c(\"a\", \"b\"), \" \")\n\ncurrent <- joints %>%\n pivot_longer(everything()) %>%\n count(value) %>%\n filter(n == 2) %>%\n slice(1) %>%\n pull(value)\n\nmiddle <- joints %>%\n pivot_longer(everything()) %>%\n count(value) %>%\n filter(n == 4) %>%\n pull(value)\n\nnon_middle <- joints %>%\n filter(!a %in% middle, !b %in% middle)\n\nplaces <- matrix(NA, 12, 12)\n\nused <- c()\nround <- c()\n\nrepeat {\n round <- c(round, current)\n\n next_tile <- non_middle %>%\n filter(a %in% current | b %in% current, !a %in% used, !b %in% used) %>%\n slice(1) %>%\n unlist() %>%\n setdiff(current)\n\n if(length(next_tile) == 0) break\n used <- c(used, current)\n current <- next_tile\n}\n\nplaces[1, 1:12] <- round[1:12]\nplaces[2:12, 12] <- round[13:23]\nplaces[12, 11:1] <- round[24:34]\nplaces[11:2, 1] <- round[35:44]\n\nfor (i in 2:11) {\n for (j in 2:11) {\n partners <- c(places[i-1, j], places[i, j-1])\n\n places[i, j] <- intersect(\n joints %>%\n filter(a %in% partners[1] | b %in% partners[1]) %>%\n unlist() %>%\n setdiff(partners[1]),\n joints %>%\n filter(a %in% partners[2] | b %in% partners[2]) %>%\n unlist() %>%\n setdiff(partners[1])\n ) %>%\n setdiff(places[i - 1, j - 1])\n }\n}\n\nextract_full_grid <- function(x) {\n str_split(x, \"\\n\")[[1]][-1] %>%\n str_split(\"\") %>%\n unlist() %>%\n matrix(nrow = 10, byrow = TRUE)\n}\n\nfull_tiles <- map(tiles, extract_full_grid)\nnames(full_tiles) <- str_extract(tiles, \"[0-9]+\")\n\nrotate <- function(x) t(apply(x, 2, rev))\n\nall_tiles <- map(1:12, ~map(1:12, ~list()))\n\nall_tiles[[1]][[1]] <- full_tiles[[places[1, 1]]][, 10:1]\n\nall_symmmetries <- list(\n function(x) x,\n function(x) rotate(x),\n function(x) rotate(rotate(x)),\n function(x) rotate(rotate(rotate(x))),\n function(x) x[, 10:1],\n function(x) rotate(x[, 10:1]),\n function(x) rotate(rotate(x[, 10:1])),\n function(x) rotate(rotate(rotate(x[, 10:1])))\n)\n\nfor (i in 2:12) {\n tile <- full_tiles[[places[1, i]]]\n\n tile_symmetries <- map(all_symmmetries, ~.x(tile))\n\n tile_which <- map_lgl(tile_symmetries, ~ all(all_tiles[[1]][[i - 1]][, 10] == .x[, 1]))\n\n all_tiles[[1]][[i]] <- tile_symmetries[[which(tile_which)]]\n}\n\nfor (j in 2:12) {\n for (i in 1:12) {\n tile <- full_tiles[[places[j, i]]]\n\n tile_symmetries <- map(all_symmmetries, ~.x(tile))\n\n tile_which <- map_lgl(tile_symmetries, ~ all(all_tiles[[j - 1]][[i]][10, ] == .x[1, ]))\n\n all_tiles[[j]][[i]] <- tile_symmetries[[which(tile_which)]]\n }\n}\n\nx <- all_tiles[[1]][[1]]\n\nget_inner <- function(x) {\n x[2:9, 2:9]\n}\n\nlake <- reduce(map(all_tiles, ~reduce(map(.x, get_inner), cbind)), rbind)\n\nmonster <- c(\n \" # \",\n \"# ## ## ###\",\n \" # # # # # # \"\n) %>%\n str_split(\"\") %>%\n unlist() %>%\n matrix(nrow = 3, byrow = TRUE)\n\n\nfor (turn in 1:8) {\n for (i in 1:94) {\n for (j in 1:77) {\n inlake <- lake[seq(i, i + 2), seq(j, j + 19)][monster == \"#\"]\n\n if (all(inlake %in% c(\"#\", \"0\"))) {\n lake[seq(i, i + 2), seq(j, j + 19)][monster == \"#\"] <- \"0\"\n }\n }\n }\n lake <- rotate(lake)\n if(turn == 4) {\n lake <- lake[, seq_len(nrow(lake))]\n }\n}\n\nsum(lake == \"#\")\n\n\n\n[1] 2118\n1.719 sec elapsed\n\nDay 21\nPart 1\n\n\nlibrary(stringr)\nlibrary(purrr)\n\ninput <- readLines(\"2020/21-input\")\n\nallergies <- str_extract(input, \"\\\\(.*\")\nallergies <- str_remove(allergies, \"\\\\(contains \")\nallergies <- str_remove(allergies, \"\\\\)\")\nallergies <- str_split(allergies, \", \")\n\ningredient <- str_extract(input, \"[ a-z]+\")\ningredient <- str_extract_all(ingredient, \"[a-z]+\")\n\nall_allergies <- unique(unlist(allergies))\nall_ingredient <- character(length(all_allergies))\n\nrepeat {\n res <- length(unlist(ingredient))\n\n for (i in seq_along(all_allergies)) {\n x <- all_allergies[i]\n\n x_foods <- ingredient[map_lgl(allergies, ~any(.x %in% x))]\n\n candidates <- reduce(x_foods, intersect)\n if (length(candidates) != 1) next\n all_ingredient[i] <- candidates\n ingredient <- map(ingredient, setdiff, all_ingredient)\n }\n\n new_res <- length(unlist(ingredient))\n\n if (res == new_res) break\n res <- new_res\n}\n\nlength(unlist(ingredient))\n\n\n\n[1] 2724\n0.04 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\nlibrary(purrr)\n\ninput <- readLines(\"2020/21-input\")\n\nallergies <- str_extract(input, \"\\\\(.*\")\nallergies <- str_remove(allergies, \"\\\\(contains \")\nallergies <- str_remove(allergies, \"\\\\)\")\nallergies <- str_split(allergies, \", \")\n\ningredient <- str_extract(input, \"[ a-z]+\")\ningredient <- str_extract_all(ingredient, \"[a-z]+\")\n\nall_allergies <- unique(unlist(allergies))\nall_ingredient <- character(length(all_allergies))\n\nrepeat {\n res <- length(unlist(ingredient))\n\n for (i in seq_along(all_allergies)) {\n x <- all_allergies[i]\n\n x_foods <- ingredient[map_lgl(allergies, ~any(.x %in% x))]\n\n candidates <- reduce(x_foods, intersect)\n if (length(candidates) != 1) next\n all_ingredient[i] <- candidates\n ingredient <- map(ingredient, setdiff, all_ingredient)\n }\n\n new_res <- length(unlist(ingredient))\n\n if (res == new_res) break\n res <- new_res\n}\n\npaste(all_ingredient[order(all_allergies)], collapse = \",\")\n\n\n\n[1] \"xlxknk,cskbmx,cjdmk,bmhn,jrmr,tzxcmr,fmgxh,fxzh\"\n0.028 sec elapsed\n\nDay 22\nPart 1\n\n\ninput <- readLines(\"2020/22-input\")\n\nbp <- which(input == \"\")\n\nplayer1 <- as.numeric(input[seq(2, bp-1)])\nplayer2 <- as.numeric(input[seq(bp + 2, length(input))])\n\nrepeat {\n if (player1[1] > player2[1]) {\n player1 <- c(player1[-1], player1[1], player2[1])\n player2 <- player2[-1]\n } else {\n player2 <- c(player2[-1], player2[1], player1[1])\n player1 <- player1[-1]\n }\n if (length(player1) == 0 | length(player2) == 0) break\n}\n\nsum(player1 * rev(seq_along(player1))) +\n sum(player2 * rev(seq_along(player2)))\n\n\n\n[1] 32472\n0.011 sec elapsed\n\nPart 2\n\n\nlibrary(purrr)\n\ninput <- readLines(\"2020/22-input\")\n\nbp <- which(input == \"\")\n\nplayer1 <- as.numeric(input[seq(2, bp - 1)])\nplayer2 <- as.numeric(input[seq(bp + 2, length(input))])\n\nplay_game <- function(hand1, hand2, subgame = FALSE) {\n previous_hands1 <- list()\n previous_hands2 <- list()\n repeat {\n if (any(map_lgl(previous_hands1, ~identical(.x, hand1))) &\n any(map_lgl(previous_hands2, ~identical(.x, hand2)))) {\n if (subgame) {\n return(TRUE)\n } else {\n return(sum(hand1 * rev(seq_along(hand1))) +\n sum(hand2 * rev(seq_along(hand2))))\n }\n }\n\n draw1 <- hand1[1]\n draw2 <- hand2[1]\n\n optim <- (max(hand1) > max(hand2)) &\n max(hand1) > (length(c(hand1, hand2))) &\n subgame\n if(optim) {\n return(TRUE)\n }\n\n\n if (draw1 < length(hand1) & draw2 < length(hand2)) {\n winner <- play_game(hand1[seq_len(draw1) + 1],\n hand2[seq_len(draw2) + 1], subgame = TRUE)\n } else {\n winner <- hand1[1] > hand2[1]\n }\n\n previous_hands1 <- c(previous_hands1, list(hand1))\n previous_hands2 <- c(previous_hands2, list(hand2))\n\n if (winner) {\n hand1 <- c(hand1[-1], hand1[1], hand2[1])\n hand2 <- hand2[-1]\n } else {\n hand2 <- c(hand2[-1], hand2[1], hand1[1])\n hand1 <- hand1[-1]\n }\n if (length(hand1) == 0 | length(hand2) == 0) break\n }\n\n if (subgame) {\n return(length(hand2) == 0)\n } else {\n return(sum(hand1 * rev(seq_along(hand1))) +\n sum(hand2 * rev(seq_along(hand2))))\n }\n}\n\nplay_game(player1, player2)\n\n\n\n[1] 36463\n17.005 sec elapsed\n\nDay 23\nPart 1\n\n\ninput <- c(4, 7, 6, 1, 3, 8, 2, 5, 9)\ncurrent <- input[1]\n\na <- numeric(length(input))\n\ninput_len <- length(input)\n\nfor (i in seq_along(a)) {\n which_i <- which(input == i)\n if (which_i == input_len) {\n a[i] <- input[1]\n } else {\n a[i] <- input[which_i + 1]\n }\n}\n\nfor (i in 1:100) {\n\n pick1 <- a[current]\n pick2 <- a[pick1]\n pick3 <- a[pick2]\n pick4 <- a[pick3]\n\n a[current] <- pick4\n\n dest <- current - 1\n\n if (dest == 0) {\n dest <- input_len\n }\n\n while (dest %in% c(pick1, pick2, pick3)) {\n dest <- dest - 1\n }\n\n if (dest == 0) {\n dest <- input_len\n }\n\n while (dest %in% c(pick1, pick2, pick3)) {\n dest <- dest - 1\n }\n\n end <- a[dest]\n\n a[pick3] <- end\n a[dest] <- pick1\n\n current <- a[current]\n}\n\nres <- numeric(length(a))\nres[1] <- 1\n\nfor (i in 2:length(a)) {\n res[i] <- a[res[i-1]]\n}\n\npaste0(res[-1], collapse = \"\")\n\n\n\n[1] \"97245386\"\n0.029 sec elapsed\n\nPart 2\n\n\ninput <- c(4, 7, 6, 1, 3, 8, 2, 5, 9)\ncurrent <- input[1]\n\na <- numeric(length(input))\n\ninput_len <- length(input)\n\na <- c(3, 5, 8, 7, 9, 1, 6, 2, 10, seq(11, 1000000), 4)\n\ntictoc::tic()\nfor (i in 1:10000000) {\n\n pick1 <- a[current]\n pick2 <- a[pick1]\n pick3 <- a[pick2]\n pick4 <- a[pick3]\n\n a[current] <- pick4\n\n dest <- current - 1\n\n if (dest == 0) {\n dest <- input_len\n }\n\n while (dest %in% c(pick1, pick2, pick3)) {\n dest <- dest - 1\n }\n\n if (dest == 0) {\n dest <- input_len\n }\n\n while (dest %in% c(pick1, pick2, pick3)) {\n dest <- dest - 1\n }\n\n end <- a[dest]\n\n a[pick3] <- end\n a[dest] <- pick1\n\n current <- a[current]\n}\ntictoc::toc()\n\na[1] * a[a[1]]\n\n\n\n25.478 sec elapsed\n[1] 43717931544\n25.49 sec elapsed\n\nDay 24\nPart 1\n\n\nlibrary(stringr)\nlibrary(purrr)\n\ninput <- readLines(\"2020/24-input\")\n\nmoves <- c(\n e = 1 + 0i,\n se = 0 - 1i,\n sw = -1 - 1i,\n w = -1 + 0i,\n nw = 0 + 1i,\n ne = 1 + 1i\n)\nflips <- input %>%\n str_extract_all(\"[ns]?[ew]\") %>%\n map(~moves[.x]) %>%\n map(sum) %>%\n reduce(c)\n\nflips %>%\n table() %>%\n {sum(. %% 2 == 1)}\n\n\n\n[1] 386\n0.013 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\nlibrary(purrr)\n\ninput <- readLines(\"2020/24-input\")\n\nmoves <- c(\n e = 1 + 0i,\n se = 0 - 1i,\n sw = -1 - 1i,\n w = -1 + 0i,\n nw = 0 + 1i,\n ne = 1 + 1i\n)\nflips <- input %>%\n str_extract_all(\"[ns]?[ew]\") %>%\n map(~moves[.x]) %>%\n map(sum) %>%\n reduce(c)\n\nn_neighbors <- function(x, y, moves) {\n rowSums(matrix(outer(x, moves, `+`) %in% y, ncol = length(moves)))\n}\nblack <- as.complex(names(table(flips)[table(flips) %% 2 == 1]))\n\nfor (i in 1:100) {\n stay_black <- n_neighbors(black, black, moves) == 1\n\n white_candidates <- map(black, ~.x + moves) %>%\n unlist() %>%\n unique()\n\n new_black_ind <- n_neighbors(white_candidates, black, moves) == 2\n\n new_black <- white_candidates[new_black_ind]\n\n black <- c(black[stay_black], new_black)\n}\n\nlength(black)\n\n\n\n[1] 4214\n1.635 sec elapsed\n\nDay 25\nPart 1\n\n\ndiv <- 20201227\n\ncard_public <- 10943862\ndoor_public <- 12721030\n\ntransform <- function(subject, lpt) {\n value <- 1\n c <- 0\n while (c < lpt) {\n value <- value * subject\n value <- value %% div\n c <- c + 1\n }\n value\n}\n\nbruteforce <- function(value_goal) {\n lpt <- 1\n value <- 1\n repeat {\n value <- value * 7\n value <- value %% div\n if (value == value_goal) {\n return(lpt)\n }\n lpt <- lpt + 1\n }\n}\n\ncard_lpt_size <- bruteforce(card_public)\ndoor_lpt_size <- bruteforce(door_public)\n\ntransform(door_public, card_lpt_size)\n\n\n\n[1] 5025281\n8.838 sec elapsed\n\n\n\n\n\n", - "last_modified": "2022-12-08T15:45:06-08:00" + "last_modified": "2023-11-30T21:52:35-08:00" }, { "path": "2021.html", "title": "My 2021 Solutions", "author": [], "contents": "\n\n\n\n\n\nDay 1\nPart 1\n\n\ninput <- scan(\"2021/01-input\")\n\nsum(diff(input) > 0)\n\n\n\n0.002 sec elapsed\n\nPart 2\n\n\ninput <- scan(\"2021/01-input\")\n\nsum3 <- slider::slide_dbl(input, mean, .before = 2)\n\nsum(diff(sum3) > 0)\n\n# Simpler solution thanks to https://twitter.com/trang1618\n# This works because `lag` happens to use the same direction\n# as `.before`\n#\n# sum(diff(input, lag = 3) > 0)\n\n\n\n0.044 sec elapsed\n\nDay 2\nPart 1\n\n\ninput <- read.delim(\"2021/02-input\", sep = \" \", header = FALSE)\n\nhorizontal <- 0\ndepth <- 0\n\nfor (i in seq_len(nrow(input))) {\n command <- input[i, 1]\n value <- input[i, 2]\n if (command == \"forward\") {\n horizontal <- horizontal + value\n }\n if (command == \"up\") {\n depth <- depth - value\n }\n if (command == \"down\") {\n depth <- depth + value\n }\n}\n\ndepth * horizontal\n\n\n\n0.04 sec elapsed\n\nPart 2\n\n\ninput <- read.delim(\"2021/02-input\", sep = \" \", header = FALSE)\n\nhorizontal <- 0\ndepth <- 0\naim <- 0\n\nfor (i in seq_len(nrow(input))) {\n command <- input[i, 1]\n value <- input[i, 2]\n if (command == \"forward\") {\n horizontal <- horizontal + value\n depth <- depth + aim * value\n }\n if (command == \"up\") {\n aim <- aim - value\n }\n if (command == \"down\") {\n aim <- aim + value\n }\n}\n\ndepth * horizontal\n\n\n\n0.037 sec elapsed\n\nDay 3\nPart 1\n\n\ninput <- readLines(\"2021/03-input\") |>\n strsplit(\"\") |>\n purrr::reduce(rbind)\n\ncommon_finder <- function(x, fun, even) {\n tab <- table(x)\n if (length(tab) == 2 & tab[1] == tab[2]) return(even)\n names(which(fun(tab) == tab))\n}\n\nrate_calculator <- function(mat, fun, even) {\n apply(mat, MARGIN = 2, FUN = common_finder, fun, even) |>\n paste0(collapse = \"\") |>\n strtoi(base = 2)\n}\n\ngamma <- rate_calculator(input, max, \"1\")\n\nepsilon <- rate_calculator(input, min , \"0\")\n\ngamma * epsilon\n\n\n\n0.088 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2021/03-input\") |>\n strsplit(\"\") |>\n purrr::reduce(rbind)\n\ncommon_finder <- function(x, fun, even) {\n tab <- table(x)\n if (length(tab) == 2 & tab[1] == tab[2]) return(even)\n names(which(fun(tab) == tab))\n}\n\nrate_calculator <- function(mat, fun, even) {\n considered <- !logical(nrow(mat))\n\n res <- c()\n\n for (i in seq_len(ncol(mat))) {\n top <- common_finder(mat[considered, i], fun, even)\n res <- c(res, top)\n considered <- considered & (mat[, i] == top)\n\n if (sum(considered) == 1) break\n }\n\n mat[considered, ] |>\n paste0(collapse = \"\") |>\n strtoi(base = 2)\n}\n\noxygen <- rate_calculator(input, max, \"1\")\nco2 <- rate_calculator(input, min, \"0\")\n\noxygen * co2\n\n\n\n0.078 sec elapsed\n\nDay 4\nThe only difference between part 1 and 2 is that part 1 uses min(win_times) and part 2 uses max(win_times)\nPart 1\n\n\ninput <- readLines(\"2021/04-input\")\n\nread_matrix <- function(lines, sep = \"\", type = identity) {\n lines <- stringr::str_trim(lines)\n tokens <- strsplit(lines, sep)\n token_lengths <- lengths(tokens)\n res <- matrix(nrow = length(lines), ncol = max(token_lengths))\n\n for (i in seq_along(lines)) {\n res[i, seq_len(token_lengths[i])] <- type(tokens[[i]])\n }\n res\n}\n\nnumbers <- strsplit(input[1], \",\")[[1]] |> as.integer()\n\nboards <- purrr::map(\n 0:99,\n ~ read_matrix(input[3:7 + 6 * .x], \"\\\\s+\", type = as.integer)\n)\n\ncheck_board <- function(board) {\n for (i in seq_along(numbers)) {\n matched <- matrix(board %in% numbers[seq_len(i)], nrow = 5)\n\n row_checks <- apply(matched, MARGIN = 1, prod)\n col_checks <- apply(matched, MARGIN = 2, prod)\n if (any(c(row_checks, col_checks) == 1)) break\n }\n i\n}\n\nwin_times <- purrr::map_int(boards, check_board)\n\nfastest_time <- min(win_times)\nfastest_board <- boards[[which(win_times == fastest_time)]]\n\nsum(setdiff(fastest_board, numbers[seq_len(fastest_time)])) *\n numbers[fastest_time]\n\n\n\n0.503 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2021/04-input\")\n\nread_matrix <- function(lines, sep = \"\", type = identity) {\n lines <- stringr::str_trim(lines)\n tokens <- strsplit(lines, sep)\n token_lengths <- lengths(tokens)\n res <- matrix(nrow = length(lines), ncol = max(token_lengths))\n\n for (i in seq_along(lines)) {\n res[i, seq_len(token_lengths[i])] <- type(tokens[[i]])\n }\n res\n}\n\nnumbers <- strsplit(input[1], \",\")[[1]] |> as.integer()\n\nboards <- purrr::map(\n 0:99,\n ~ read_matrix(input[3:7 + 6 * .x], \"\\\\s+\", type = as.integer)\n)\n\ncheck_board <- function(board) {\n for (i in seq_along(numbers)) {\n matched <- matrix(board %in% numbers[seq_len(i)], nrow = 5)\n\n row_checks <- apply(matched, MARGIN = 1, prod)\n col_checks <- apply(matched, MARGIN = 2, prod)\n if (any(c(row_checks, col_checks) == 1)) break\n }\n i\n}\n\nwin_times <- purrr::map_int(boards, check_board)\n\nslowest_time <- max(win_times)\nslowest_board <- boards[[which(win_times == slowest_time)]]\n\nsum(setdiff(slowest_board, numbers[seq_len(slowest_time)])) *\n numbers[slowest_time]\n\n\n\n0.467 sec elapsed\n\nDay 5\nThis is one of the weird days where part 2 solution is simpler than part 1. Simple delete the first filter() call.\nPart 1\n\n\nlibrary(tidyverse)\n\ntibble(input = readLines(\"2021/05-input\")) %>%\n separate(input, into = c(\"x1\", \"y1\", \"x2\", \"y2\"), convert = TRUE) %>%\n filter(x1 == x2 | y1 == y2) %>%\n group_nest(row_number()) %>%\n mutate(crosses = map(data, ~tibble(x = .x$x1:.x$x2, y = .x$y1:.x$y2))) %>%\n unnest(crosses) %>%\n count(x, y) %>%\n filter(n > 1) %>%\n nrow()\n\n\n\n2.235 sec elapsed\n\nPart 2\n\n\nlibrary(tidyverse)\n\ntibble(input = readLines(\"2021/05-input\")) %>%\n separate(input, into = c(\"x1\", \"y1\", \"x2\", \"y2\"), convert = TRUE) %>%\n group_nest(row_number()) %>%\n mutate(crosses = map(data, ~tibble(x = .x$x1:.x$x2, y = .x$y1:.x$y2))) %>%\n unnest(crosses) %>%\n count(x, y) %>%\n filter(n > 1) %>%\n nrow()\n\n\n\n2.259 sec elapsed\n\nDay 6\nPart 1\n\n\ninput <- scan(\"2021/06-input\", sep = \",\")\n\nfor (i in seq_len(80)) {\n input <- input - 1\n if (any(input < 0)) {\n input <- c(input, rep(8, sum(input < 0)))\n input[input < 0] <- 6\n }\n}\n\nlength(input)\n\n\n\n0.12 sec elapsed\n\nPart 2\n\n\ninput <- scan(\"2021/06-input\", sep = \",\")\n\ncounts <- c(0, tabulate(input, nbins = 8))\n\nfor (i in seq_len(256)) {\n n0 <- counts[1]\n counts[-length(counts)] <- counts[-1]\n counts[7] <- counts[7] + n0\n counts[9] <- n0\n}\n\noptions(scipen = 999)\nsum(counts)\n\n\n\n0.017 sec elapsed\n\nDay 7\nPart 1\n\n\ninput <- scan(\"2021/07-input\", sep = \",\")\n\nvalues <- seq(min(input), max(input))\n\nfuels <- purrr::map_dbl(values, ~ sum(abs(input - .x)))\nmin(fuels)\n\n# Trick from https://twitter.com/skyetetra\nsum(abs(median(input) - input))\n\n\n\n0.02 sec elapsed\n\nPart 2\n\n\ninput <- scan(\"2021/07-input\", sep = \",\")\n\nvalues <- seq(min(input), max(input))\n\nadjust <- function(n) n * (n + 1) / 2\n\nfuels <- purrr::map_dbl(values, ~sum(adjust(abs(input - .x))))\nmin(fuels)\n\n# Trick from https://twitter.com/skyetetra\nmin(\n sum(adjust(abs(floor(mean(input)) - input))),\n sum(adjust(abs(ceiling(mean(input)) - input)))\n)\n\n\n\n0.067 sec elapsed\n\nDay 8\nPart 1\n\n\nlibrary(tidyverse)\n\nreadLines(\"2021/08-input\") %>%\n str_remove(\".*\\\\| \") %>%\n str_split(\" \") %>%\n map(nchar) %>%\n map_int(~length(.x[.x %in% c(2, 4, 3, 7)])) %>%\n sum()\n\n\n\n0.007 sec elapsed\n\nPart 2\n\n\nlibrary(tidyverse)\n\ninput <- readLines(\"2021/08-input\")\n\nsplitter <- function(x) {\n str_split(x, \" \") %>%\n map(str_split, \"\") %>%\n map(map, sort)\n}\n\nsetdiff_length <- function(x, y) {\n lengths(map(x, ~setdiff(x[[which(y)]], .x)))\n}\n\nminus1 <- function(x) x - 1\n\nsolver <- function(lights, right) {\n x1 <- lengths(lights) == 2\n x4 <- lengths(lights) == 4\n x7 <- lengths(lights) == 3\n x8 <- lengths(lights) == 7\n x6 <- lengths(lights) == 6 & setdiff_length(lights, x1) == 1\n x0 <- lengths(lights) == 6 & setdiff_length(lights, x4) == 1 & !x6\n x9 <- lengths(lights) == 6 & !x6 & !x0\n x5 <- lengths(lights) == 5 & setdiff_length(lights, x6) == 1\n x3 <- lengths(lights) == 5 & setdiff_length(lights, x9) == 1 & !x5\n x2 <- lengths(lights) == 5 & !x5 & !x3\n\n cont <- list(x0, x1, x2, x3, x4, x5, x6, x7, x8, x9) %>%\n map(~lights[[which(.x)]]) %>%\n map(sort)\n\n right %>%\n match(cont) %>%\n minus1() %>%\n paste(collapse = \"\") %>%\n as.numeric()\n}\n\ntibble(input) %>%\n separate(input, c(\"left\", \"right\"), sep = \" \\\\| \") %>%\n mutate(across(c(\"left\", \"right\"), splitter)) %>%\n mutate(res = map2_dbl(left, right, solver)) %>%\n summarise(total = sum(res))\n\n\n\n0.443 sec elapsed\n\nDay 9\nPart 1\n\n\nlibrary(purrr)\n\ninput <- readLines(\"2021/09-input\") |>\n strsplit(\"\") |>\n map(as.integer) |>\n reduce(rbind)\n\nrow_length <- nrow(input)\ncol_length <- ncol(input)\n\nmat <- matrix(FALSE, row_length, col_length)\n\nfor (row in 1:row_length) {\n for (col in 1:col_length) {\n row_id <- c(row + 1, row, row - 1, row)\n col_id <- c(col, col + 1, col, col - 1)\n\n subset <- !(row_id > row_length | col_id > col_length)\n\n row_id <- row_id[subset]\n col_id <- col_id[subset]\n\n if (all(input[cbind(row_id, col_id)] > input[row, col])) {\n mat[row, col] <- TRUE\n }\n }\n}\n\nsum(input[mat] + 1)\n\n\n\n0.127 sec elapsed\n\nPart 2\n\n\nlibrary(purrr)\n\ninput <- readLines(\"2021/09-input\") |>\n strsplit(\"\") |>\n map(as.integer) |>\n reduce(rbind)\n\nrow_length <- nrow(input)\ncol_length <- ncol(input)\n\nmat <- matrix(FALSE, row_length, col_length)\n\nfor (row in 1:row_length) {\n for (col in 1:col_length) {\n row_id <- c(row + 1, row, row - 1, row)\n col_id <- c(col, col + 1, col, col - 1)\n\n subset <- !(row_id > row_length | col_id > col_length)\n\n row_id <- row_id[subset]\n col_id <- col_id[subset]\n\n if (all(input[cbind(row_id, col_id)] > input[row, col])) {\n mat[row, col] <- TRUE\n }\n }\n}\n\naround <- function(row, col) {\n list(\n list(row = row + 0, col = col + 1),\n list(row = row + 1, col = col + 0),\n list(row = row + 0, col = col - 1),\n list(row = row - 1, col = col + 0)\n )\n}\n\nrange_checker <- function(can) {\n !((can$row == 0) |\n (can$row > row_length) |\n (can$col == 0) |\n (can$col > col_length))\n}\n\nvalue_checker <- function(can, ref) {\n value <- input[can$row, can$col]\n last_value <- input[ref$row, ref$col]\n\n if (value == 9) return(FALSE)\n value > last_value\n}\n\nbasin_size <- function(x) {\n\n candidates <- list(\n list(row = x[1], col = x[2])\n )\n\n saved <- list()\n\n repeat {\n new_candidaes <- around(candidates[[1]]$row, candidates[[1]]$col)\n new_candidaes <- setdiff(new_candidaes, saved)\n new_candidaes <- setdiff(new_candidaes, candidates)\n new_candidaes <- new_candidaes[map_lgl(new_candidaes, range_checker)]\n\n new_candidaes <- new_candidaes[\n map_lgl(new_candidaes, value_checker, candidates[[1]])\n ]\n\n candidates <- c(candidates, new_candidaes)\n saved <- c(saved, candidates[1])\n candidates[1] <- NULL\n\n if (length(candidates) == 0) break\n }\n length(saved)\n}\n\nlargest_basins <- which(mat, arr.ind = TRUE) |>\n apply(1, basin_size)\n\nsort(largest_basins, decreasing = TRUE)[1:3] |>\n prod()\n\n\n\n3.098 sec elapsed\n\nDay 10\nPart 1\n\n\nlibrary(stringr)\nlibrary(purrr)\n\ninput <- readLines(\"2021/10-input\")\n\nfull_pair <- c(\"\\\\(\\\\)\" = \"\", \"\\\\[\\\\]\" = \"\", \"\\\\{\\\\}\" = \"\", \"<>\" = \"\")\n\nremove_all_pairs <- function(x) {\n old <- x\n repeat {\n new <- str_replace_all(old, full_pair)\n if (old == new) break\n old <- new\n }\n old\n}\n\npair_side <- c(\n \"\\\\(\" = \"L\", \"\\\\[\" = \"L\", \"\\\\{\" = \"L\", \"<\" = \"L\",\n \"\\\\)\" = \"R\", \"\\\\]\" = \"R\", \"\\\\}\" = \"R\", \">\" = \"R\"\n)\n\nfind_corrupted_pair <- function(x) {\n value <- str_replace_all(x, pair_side)\n loc <- str_locate(value, \"LR\")\n if (is.na(loc[2])) return(NA)\n str_sub(x, loc[2], loc[2])\n}\n\ncleaned_errors <- map_chr(input, remove_all_pairs)\ncorrupt <- map_chr(cleaned_errors, find_corrupted_pair)\n\nc(\")\"= 3, \"]\" = 57, \"}\" = 1197, \">\" = 25137)[corrupt] |>\n sum(na.rm = TRUE)\n\n\n\n0.223 sec elapsed\n\nPart 2\n\n\nlibrary(stringr)\nlibrary(purrr)\n\ninput <- readLines(\"2021/10-input\")\n\nfull_pair <- c(\"\\\\(\\\\)\" = \"\", \"\\\\[\\\\]\" = \"\", \"\\\\{\\\\}\" = \"\", \"<>\" = \"\")\n\nremove_all_pairs <- function(x) {\n old <- x\n repeat {\n new <- str_replace_all(old, full_pair)\n if (old == new) break\n old <- new\n }\n old\n}\n\npair_side <- c(\n \"\\\\(\" = \"L\", \"\\\\[\" = \"L\", \"\\\\{\" = \"L\", \"<\" = \"L\",\n \"\\\\)\" = \"R\", \"\\\\]\" = \"R\", \"\\\\}\" = \"R\", \">\" = \"R\"\n)\n\nfind_corrupted_pair <- function(x) {\n value <- str_replace_all(x, pair_side)\n loc <- str_locate(value, \"LR\")\n if (is.na(loc[2])) return(NA)\n str_sub(x, loc[2], loc[2])\n}\n\ncleaned_errors <- map_chr(input, remove_all_pairs)\ncorrupt <- map_chr(cleaned_errors, find_corrupted_pair)\n\nincomplete <- cleaned_errors[is.na(corrupt)]\n\ncomplete_error <- function(x) {\n score <- 0\n repeat {\n last <- str_sub(x, -1, -1)\n pat_com <- c(\"(\" = \")\", \"[\" = \"]\", \"{\" = \"}\", \"<\" = \">\")\n score <- score * 5 + match(last, names(pat_com))\n x <- paste0(x, pat_com[last])\n x <- remove_all_pairs(x)\n if (x == \"\") break\n }\n score\n}\n\nincomplete %>%\n map_dbl(complete_error) %>%\n median()\n\n\n\n0.456 sec elapsed\n\nDay 11\nPart 1\n\n\ninput <- readLines(\"2021/11-input\") |>\n strsplit(\"\") |>\n map(as.integer) |>\n reduce(rbind)\n\nsize <- nrow(input)\n\naround <- function(x) {\n row <- x[1]\n col <- x[2]\n row_id <- c(row - 1, row - 1, row - 1, row, row + 1, row + 1, row + 1, row)\n col_id <- c(col - 1, col, col + 1, col + 1, col + 1, col, col - 1, col - 1)\n subset <- !(row_id > size | col_id > size)\n cbind(row_id[subset], col_id[subset])\n}\n\nflashes <- 0\n\nfor (i in 1:100) {\n flashed <- matrix(FALSE, nrow = size, ncol = size)\n input <- input + 1\n\n repeat {\n new_flashes <- which((input * !flashed) > 9, arr.ind = TRUE)\n\n if (nrow(new_flashes) == 0) break\n\n flashed <- flashed | (input > 9)\n\n bursts <- map(seq_len(nrow(new_flashes)), ~around(new_flashes[.x, ])) |>\n purrr::reduce(rbind)\n\n for (i in seq_len(nrow(bursts))) {\n input[bursts[i, 1], bursts[i, 2]] <- input[bursts[i, 1], bursts[i, 2]] + 1\n }\n }\n input[flashed] <- 0\n flashes <- flashes + sum(flashed)\n}\n\nflashes\n\n\n\n0.29 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2021/11-input\") |>\n strsplit(\"\") |>\n map(as.integer) |>\n reduce(rbind)\n\nsize <- nrow(input)\n\naround <- function(x) {\n row <- x[1]\n col <- x[2]\n row_id <- c(row - 1, row - 1, row - 1, row, row + 1, row + 1, row + 1, row)\n col_id <- c(col - 1, col, col + 1, col + 1, col + 1, col, col - 1, col - 1)\n subset <- !(row_id > size | col_id > size)\n cbind(row_id[subset], col_id[subset])\n}\n\nstep <- 0\nrepeat {\n step <- step + 1\n flashed <- matrix(FALSE, nrow = size, ncol = size)\n input <- input + 1\n\n repeat {\n new_flashes <- which((input * !flashed) > 9, arr.ind = TRUE)\n\n if (nrow(new_flashes) == 0) break\n\n flashed <- flashed | (input > 9)\n\n bursts <- map(seq_len(nrow(new_flashes)), ~around(new_flashes[.x, ])) |>\n purrr::reduce(rbind)\n\n for (i in seq_len(nrow(bursts))) {\n input[bursts[i, 1], bursts[i, 2]] <- input[bursts[i, 1], bursts[i, 2]] + 1\n }\n }\n input[flashed] <- 0\n\n if(all(flashed)) break\n}\n\nstep\n\n\n\n0.919 sec elapsed\n\nDay 12\n\n\nlibrary(tidyverse)\n\ninput <- tibble(input = readLines(\"2021/12-input\")) %>%\n separate(input, into = c(\"from\", \"to\"))\n\ninput <- bind_rows(\n input,\n input %>% mutate(tmp = from, from = to, to = tmp) %>% select(-tmp)\n)\n\nlast <- function(x) x[length(x)]\n\nadd_next_step <- function(x) {\n last_x <- last(x)\n if (last_x == \"end\") return(list(x))\n new_steps <- input$to[input$from == last_x]\n\n map(new_steps, ~c(x, .x))\n}\n\nis_correct <- function(x) {\n if (length(x) > 1 & last(x) == \"start\") return(FALSE)\n x <- x[!x %in% c(\"end\", \"start\")]\n tab <- table(x)\n tab_names <- names(tab)\n small <- str_to_lower(tab_names) == tab_names\n all(tab[small] == 1)\n}\n\nvalidate_path <- function(x) {\n keep(x, is_correct)\n}\n\ngrow <- function(x) {\n x %>%\n map(add_next_step) %>%\n flatten() %>%\n validate_path()\n}\n\nold <- list()\nold[[1]] <- \"start\"\n\nrepeat {\n new <- grow(old)\n\n if (identical(old, new)) break\n old <- new\n}\n\nlength(old)\n\n\n\n9.098 sec elapsed\n\nPart 2\n\n\nlibrary(tidyverse)\n\ninput <- tibble(input = readLines(\"2021/12-input\")) %>%\n separate(input, into = c(\"from\", \"to\"))\n\ninput <- bind_rows(\n input,\n input %>% mutate(tmp = from, from = to, to = tmp) %>% select(-tmp)\n)\n\nadjacency <- split(input$from, input$to)\n\nis_lower <- function(x) tolower(x) == x\n\npaths <- function(current, seen, duplicate) {\n if (current == \"end\") {\n return(1)\n }\n if (current == \"start\" & !is.null(seen)) {\n return(0)\n }\n if (is_lower(current) & current %in% seen) {\n if (is.null(duplicate)) {\n duplicate <- current\n } else {\n return(0)\n }\n }\n seen <- c(seen, current)\n out <- 0\n for (i in adjacency[[current]]) {\n out <- out + paths(i, seen, duplicate)\n }\n out\n}\n\npaths(current = \"start\", seen = NULL, duplicate = NULL)\n\n\n\n6.642 sec elapsed\n\nDay 13\n\n\nlibrary(tidyverse)\n\ninput <- readLines(\"2021/13-input\")\n\nmid <- which(input == \"\")\n\np1 <- function(x) x + 1L\n\nfolds <- input[seq(mid + 1, length(input))]\npoints <- input[seq_len(mid - 1)] %>%\n str_split(\",\") %>%\n map(as.integer) %>%\n map(p1)\n\n\nmat <- matrix(\n FALSE,\n nrow = points %>% map_int(~.x[2]) %>% max(),\n ncol = points %>% map_int(~.x[1]) %>% max()\n)\n\nfor (point in points) {\n mat[point[[2]], point[[1]]] <- TRUE\n}\n\nfold <- folds[1]\n\naxis <- str_extract(fold, \"[xy]\")\namount <- str_extract(fold, \"[0-9]+\") %>% as.integer() %>% p1()\n\nif (axis == \"y\") {\n folded <- seq(nrow(mat), amount + 1)\n landed <- seq(amount - length(folded), amount - 1)\n\n mat[landed, ] <- mat[landed, ] | mat[folded, ]\n mat <- mat[seq_len(amount - 1), ]\n} else {\n folded <- seq(ncol(mat), amount + 1)\n landed <- seq(amount - length(folded), amount - 1)\n\n mat[, landed] <- mat[, landed] | mat[, folded]\n mat <- mat[, seq_len(amount - 1)]\n}\n\nsum(mat)\n\n\n\n0.031 sec elapsed\n\nPart 2\n\n\nlibrary(tidyverse)\n\ninput <- readLines(\"2021/13-input\")\n\nmid <- which(input == \"\")\n\np1 <- function(x) x + 1L\n\nfolds <- input[seq(mid + 1, length(input))]\npoints <- input[seq_len(mid - 1)] %>%\n str_split(\",\") %>%\n map(as.integer) %>%\n map(p1)\n\n\nmat <- matrix(\n FALSE,\n nrow = points %>% map_int(~.x[2]) %>% max(),\n ncol = points %>% map_int(~.x[1]) %>% max()\n)\n\nfor (point in points) {\n mat[point[[2]], point[[1]]] <- TRUE\n}\n\nfor (fold in folds) {\n axis <- str_extract(fold, \"[xy]\")\n amount <- str_extract(fold, \"[0-9]+\") %>% as.integer() %>% p1()\n\n if (axis == \"y\") {\n folded <- seq(nrow(mat), amount + 1)\n landed <- seq(amount - length(folded), amount - 1)\n\n mat[landed, ] <- mat[landed, ] | mat[folded, ]\n mat <- mat[seq_len(amount - 1), ]\n } else {\n folded <- seq(ncol(mat), amount + 1)\n landed <- seq(amount - length(folded), amount - 1)\n\n mat[, landed] <- mat[, landed] | mat[, folded]\n mat <- mat[, seq_len(amount - 1)]\n }\n}\n\nreshape2::melt(mat) %>%\n ggplot(aes(Var2, -Var1, fill = value)) +\n geom_raster()\n\n\n\n0.076 sec elapsed\n\nDay 14\nThe only difference here between part 1 and part 2 is setting the step range from 10 to 40\n\n\nlibrary(tidyverse)\n\ntemplate <- readLines(\"2021/14-input\")[1]\npairs <- readLines(\"2021/14-input\")[-(1:2)]\n\nfrom <- str_sub(pairs, 1, 2)\n\nadj <- map(pairs, ~ c(paste0(str_sub(.x, 1, 1), str_sub(.x, -1, -1)),\n paste0(str_sub(.x, -1, -1), str_sub(.x, 2, 2))))\nnames(adj) <- from\n\nref_counts <- counts <- set_names(integer(length(from)), from)\nfor (i in seq(1, nchar(template) - 1)) {\n pair <- str_sub(template, i, i + 1)\n counts[pair] <- counts[pair] + 1\n}\n\nfor (step in 1:10) {\n new_counts <- ref_counts\n for (pair in names(new_counts)) {\n new_counts[adj[[pair]][1]] <- new_counts[adj[[pair]][1]] + counts[pair]\n new_counts[adj[[pair]][2]] <- new_counts[adj[[pair]][2]] + counts[pair]\n }\n counts <- new_counts\n}\n\ntibble(\n count = c(counts, 1),\n char = c(str_sub(names(counts), 1, 1), str_sub(template, -1, -1))\n) %>%\n count(char, wt = count, sort = TRUE) %>%\n summarise(max(n) - min(n))\n\n\n\n0.076 sec elapsed\n\nPart 2\n\n\nlibrary(tidyverse)\n\ntemplate <- readLines(\"2021/14-input\")[1]\npairs <- readLines(\"2021/14-input\")[-(1:2)]\n\nfrom <- str_sub(pairs, 1, 2)\n\nadj <- map(pairs, ~ c(paste0(str_sub(.x, 1, 1), str_sub(.x, -1, -1)),\n paste0(str_sub(.x, -1, -1), str_sub(.x, 2, 2))))\nnames(adj) <- from\n\nref_counts <- counts <- set_names(integer(length(from)), from)\nfor (i in seq(1, nchar(template) - 1)) {\n pair <- str_sub(template, i, i + 1)\n counts[pair] <- counts[pair] + 1\n}\n\nfor (step in 1:40) {\n new_counts <- ref_counts\n for (pair in names(new_counts)) {\n new_counts[adj[[pair]][1]] <- new_counts[adj[[pair]][1]] + counts[pair]\n new_counts[adj[[pair]][2]] <- new_counts[adj[[pair]][2]] + counts[pair]\n }\n counts <- new_counts\n}\n\ntibble(\n count = c(counts, 1),\n char = c(str_sub(names(counts), 1, 1), str_sub(template, -1, -1))\n) %>%\n count(char, wt = count, sort = TRUE) %>%\n summarise(max(n) - min(n))\n\n\n\n0.079 sec elapsed\n\nDay 15\nDay 16\nDay 17\nDay 18\nDay 19\nDay 20\nDay 21\nDay 22\nDay 23\nDay 24\nDay 25\n\n\n\n\n", - "last_modified": "2022-12-08T15:45:11-08:00" + "last_modified": "2023-11-30T21:52:40-08:00" }, { "path": "2022.html", "title": "My 2022 Solutions", "author": [], "contents": "\n\n\n\n\n\nDay 1\nPart 1\n\n\ninput <- readLines(\"2022/01-input\")\ninput <- as.numeric(input)\n\nsplit(input, cumsum(is.na(input))) |>\n vapply(sum, na.rm = TRUE, FUN.VALUE = numeric(1)) |>\n max()\n\n\n\n0.001 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2022/01-input\")\ninput <- as.numeric(input)\n\nsplit(input, cumsum(is.na(input))) |>\n vapply(sum, na.rm = TRUE, FUN.VALUE = numeric(1)) |>\n sort() |>\n tail(3) |>\n sum()\n\n\n\n0.002 sec elapsed\n\nDay 2\nPart 1\n\n\ninput <- readLines(\"2022/02-input\")\n\ndict <- c(A = \"rock\", B = \"paper\", C = \"scissors\",\n X = \"rock\", Y = \"paper\", Z = \"scissors\")\n\nyou <- dict[substr(input, 1, 1)]\nme <- dict[substr(input, 3, 3)]\n\nmat <- matrix(\n c(\"tie\", \"lose\", \"win\",\n \"win\", \"tie\", \"lose\",\n \"lose\", \"win\", \"tie\"),\n byrow = TRUE, ncol = 3,\n dimnames = list(c(\"rock\", \"paper\", \"scissors\"),\n c(\"rock\", \"paper\", \"scissors\"))\n)\n\nscores <- c(win = 6, tie = 3, lose = 0, rock = 1, paper = 2, scissors = 3)\n\nsum(scores[mat[cbind(me, you)]]) + sum(scores[me])\n\n\n\n0.002 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2022/02-input\")\n\ndict <- c(A = \"rock\", B = \"paper\", C = \"scissors\",\n X = \"lose\", Y = \"tie\", Z = \"win\")\n\nyou <- dict[substr(input, 1, 1)]\nme <- dict[substr(input, 3, 3)]\n\nmat <- matrix(\n c(\"scissors\", \"rock\", \"paper\",\n \"paper\", \"scissors\", \"rock\",\n \"rock\", \"paper\", \"scissors\"),\n byrow = TRUE, ncol = 3,\n dimnames = list(c(\"lose\", \"win\", \"tie\"),\n c(\"rock\", \"paper\", \"scissors\"))\n)\nmat\n\nscores <- c(win = 6, tie = 3, lose = 0, rock = 1, paper = 2, scissors = 3)\n\nsum(scores[mat[cbind(me, you)]]) + sum(scores[me])\n\n\n\n0.002 sec elapsed\n\nDay 3\nPart 1\n\n\nlibrary(purrr)\n\ninput <- readLines(\"2022/03-input\") |>\n strsplit(split = \"\")\n\nscore <- c(letters, LETTERS)\n\ncommon_split <- function(x) {\n half <- length(x) / 2\n intersect(\n head(x, half), tail(x, half)\n )\n}\n\nmap_chr(input, common_split) |>\n match(score) |>\n sum()\n\n\n\n0.012 sec elapsed\n\nPart 2\n\n\nlibrary(purrr)\n\ninput <- readLines(\"2022/03-input\") |>\n strsplit(split = \"\")\n\ninput_group <- split(input, rep(seq_len(length(input) / 3), each = 3))\n\nscore <- c(letters, LETTERS)\n\ncommon_group <- function(x) {\n x[[1]] |>\n intersect(x[[2]]) |>\n intersect(x[[3]])\n}\n\nmap_chr(input_group, common_group) |>\n match(score) |>\n sum()\n\n\n\n0.002 sec elapsed\n\nDay 4\nPart 1\n\n\nlibrary(purrr)\n\ninput <- readLines(\"2022/04-input\") |>\n strsplit(\"[-,]\") |>\n map(as.integer)\n\ncontain <- function(x) {\n seq1 <- seq(x[1], x[2])\n seq2 <- seq(x[3], x[4])\n\n length(setdiff(seq1, seq2)) == 0 ||\n length(setdiff(seq2, seq1)) == 0\n}\n\nmap_lgl(input, contain) |> sum()\n\n\n\n0.028 sec elapsed\n\nPart 2\n\n\nlibrary(purrr)\n\ninput <- readLines(\"2022/04-input\") |>\n strsplit(\"[-,]\") |>\n map(as.integer)\n\noverlap <- function(x) {\n seq1 <- seq(x[1], x[2])\n seq2 <- seq(x[3], x[4])\n\n length(intersect(seq1, seq2)) > 0\n}\n\nmap_lgl(input, overlap) |> sum()\n\n\n\n0.014 sec elapsed\n\nDay 5\nPart 1\n\n\nlibrary(tidyverse)\n\ninput <- read_lines(\"2022/05-input\")\ndelim <- which(input == \"\")\n\ncargo <- input[seq(1, delim - 2)]\ninsts <- input[seq(delim + 1, length(input))] |>\n str_extract_all(\"[0-9]+\") |>\n map(as.integer)\n\nbox_loc <- seq(1, (max(nchar(cargo)) + 1) / 4) * 4 - 2\n\nstacks <- map(box_loc, ~ str_sub(cargo, .x, .x)) |>\n map(setdiff, c(\"\", \" \")) |>\n map(rev)\n\nfor (inst in insts) {\n from <- inst[2]\n to <- inst[3]\n amount <- inst[1]\n stacks[[to]] <- c(stacks[[to]], rev(tail(stacks[[from]], amount)))\n stacks[[from]] <- head(stacks[[from]], -amount)\n}\n\npurrr::map_chr(stacks, tail, 1) |> paste(collapse = \"\")\n\n\n\n0.127 sec elapsed\n\nPart 2\n\n\nlibrary(tidyverse)\n\ninput <- read_lines(\"2022/05-input\")\ndelim <- which(input == \"\")\n\ncargo <- input[seq(1, delim - 2)]\ninsts <- input[seq(delim + 1, length(input))] |>\n str_extract_all(\"[0-9]+\") |>\n map(as.integer)\n\nbox_loc <- seq(1, (max(nchar(cargo)) + 1) / 4) * 4 - 2\n\nstacks <- map(box_loc, ~ str_sub(cargo, .x, .x)) |>\n map(setdiff, c(\"\", \" \")) |>\n map(rev)\n\nfor (inst in insts) {\n from <- inst[2]\n to <- inst[3]\n amount <- inst[1]\n stacks[[to]] <- c(stacks[[to]], tail(stacks[[from]], amount))\n stacks[[from]] <- head(stacks[[from]], -amount)\n}\n\npurrr::map_chr(stacks, tail, 1) |> paste(collapse = \"\")\n\n\n\n0.009 sec elapsed\n\nDay 6\nPart 1\n\n\ninput <- readLines(\"2022/06-input\")\ninput <- strsplit(input, \"\")[[1]]\n\ntar_length <- 4 # change to 14 for part 2\noffset <- tar_length - 1\n\nfor (i in seq_len(length(input) - offset)) {\n if (length(unique(input[seq(i, i + offset)])) == tar_length) {\n break\n }\n}\ni + offset\n\n\n\n0.008 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2022/06-input\")\ninput <- strsplit(input, \"\")[[1]]\n\ntar_length <- 14\noffset <- tar_length - 1\n\nfor (i in seq_len(length(input) - offset)) {\n if (length(unique(input[seq(i, i + offset)])) == tar_length) {\n break\n }\n}\ni + offset\n\n\n\n0.018 sec elapsed\n\nDay 7\nPart 1\n\n\nlibrary(tidyverse)\n\ninput <- readLines(\"2022/07-input\")\n\ndisk <- list()\ni <- 2\npath <- c(NULL)\n\nwhile (i <= length(input)) {\nif (input[i] == \"$ ls\") {\n repeat {\n i <- i + 1\n if (i > length(input)) break\n if (str_detect(input[i], \"^\\\\$\")) break\n if (str_detect(input[i], \"^dir\")) {\n dir_name <- str_remove(input[i], \"dir \")\n disk[[c(path, dir_name)]] <- list()\n } else {\n file_name <- str_remove(input[i], \"\\\\d+ \")\n file_value <- str_extract(input[i], \"\\\\d+\") |> as.numeric()\n disk[[c(path, file_name)]] <- file_value\n }\n }\n} else if (str_detect(input[i], \"^\\\\$ cd \\\\.\\\\.\")) {\n path <- path[-length(path)]\n i <- i + 1\n} else if (str_detect(input[i], \"^\\\\$ cd\")) {\n next_dir <- str_remove(input[i], \"^\\\\$ cd \")\n path <- c(path, next_dir)\n i <- i + 1\n}\n}\n\ndir_sums <- list()\n\nlists <- map_lgl(disk, is.list)\nunused_folders <- as.list(names(disk)[lists])\n\nrepeat {\nif (length(unused_folders) == 0) break\n path <- unused_folders[[1]]\n lists <- map_lgl(disk[[path]], is.list)\n if (any(lists)) {\n new_lists <- names(lists)[lists]\n for (new_list in new_lists) {\n unused_folders <- c(list(c(path, new_list)), unused_folders)\n }\n } else {\n dir_sum <- sum(unlist(disk[[path]]))\n dir_sums[paste(path, collapse = \"_\")] <- dir_sum\n disk[[path]] <- dir_sum\n unused_folders[[1]] <- NULL\n }\n}\n\ndir_sums$total <- sum(unlist(disk))\ndir_sums <- unlist(dir_sums)\n\ndir_sums[dir_sums < 100000] |>\n sum()\n\n\n\n0.091 sec elapsed\n\nPart 2\n\n\nlibrary(tidyverse)\n\ninput <- readLines(\"2022/07-input\")\n\ndisk <- list()\ni <- 2\npath <- c(NULL)\n\nwhile (i <= length(input)) {\n if (input[i] == \"$ ls\") {\n repeat {\n i <- i + 1\n if (i > length(input)) break\n if (str_detect(input[i], \"^\\\\$\")) break\n if (str_detect(input[i], \"^dir\")) {\n dir_name <- str_remove(input[i], \"dir \")\n disk[[c(path, dir_name)]] <- list()\n } else {\n file_name <- str_remove(input[i], \"\\\\d+ \")\n file_value <- str_extract(input[i], \"\\\\d+\") |> as.numeric()\n disk[[c(path, file_name)]] <- file_value\n }\n }\n } else if (str_detect(input[i], \"^\\\\$ cd \\\\.\\\\.\")) {\n path <- path[-length(path)]\n i <- i + 1\n } else if (str_detect(input[i], \"^\\\\$ cd\")) {\n next_dir <- str_remove(input[i], \"^\\\\$ cd \")\n path <- c(path, next_dir)\n i <- i + 1\n }\n}\n\ndir_sums <- list()\n\nlists <- map_lgl(disk, is.list)\nunused_folders <- as.list(names(disk)[lists])\n\nrepeat {\n if (length(unused_folders) == 0) break\n path <- unused_folders[[1]]\n lists <- map_lgl(disk[[path]], is.list)\n if (any(lists)) {\n new_lists <- names(lists)[lists]\n for (new_list in new_lists) {\n unused_folders <- c(list(c(path, new_list)), unused_folders)\n }\n } else {\n dir_sum <- sum(unlist(disk[[path]]))\n dir_sums[paste(path, collapse = \"_\")] <- dir_sum\n disk[[path]] <- dir_sum\n unused_folders[[1]] <- NULL\n }\n}\n\ndir_sums$total <- sum(unlist(disk))\ndir_sums <- unlist(dir_sums)\n\ndir_sums[dir_sums >= (30000000 - (70000000 - dir_sums[\"total\"]))] |>\n sort() |>\n head(1)\n\n\n\n0.084 sec elapsed\n\nDay 8\nPart 1\n\n\nlibrary(tidyverse)\n\nread_matrix <- function(path, sep = \"\", fill = NA, type = identity) {\n lines <- readLines(path)\n tokens <- strsplit(lines, sep)\n token_lengths <- lengths(tokens)\n res <- matrix(fill, nrow = length(lines), ncol = max(token_lengths))\n\n for (i in seq_along(lines)) {\n res[i, seq_len(token_lengths[i])] <- type(tokens[[i]])\n }\n res\n}\n\ninput <- read_matrix(\"2022/08-input\", type = as.integer)\n\nres <- matrix(FALSE, nrow = nrow(input), ncol = ncol(input))\n\nn_row <- nrow(input)\nn_col <- ncol(input)\n\nfor (row in seq_len(n_row)) {\n for (col in seq_len(n_col)) {\n tree <- input[row, col]\n\n # Edge\n if (row == 1 || row == n_row || col == 1 || col == n_col) {\n res[row, col] <- TRUE\n next\n }\n\n # Above\n above <- input[seq(1, row - 1), col]\n if (all(tree > above)) {\n res[row, col] <- TRUE\n next\n }\n\n # below\n below <- input[seq(n_row, row + 1), col]\n if (all(tree > below)) {\n res[row, col] <- TRUE\n next\n }\n\n # left\n left <- input[row, seq(1, col - 1)]\n if (all(tree > left)) {\n res[row, col] <- TRUE\n next\n }\n\n # left\n right <- input[row, seq(n_col, col + 1)]\n if (all(tree > right)) {\n res[row, col] <- TRUE\n next\n }\n }\n}\n\nsum(res)\n\n\n\n0.132 sec elapsed\n\nPart 2\n\n\nlibrary(tidyverse)\n\nread_matrix <- function(path, sep = \"\", fill = NA, type = identity) {\n lines <- readLines(path)\n tokens <- strsplit(lines, sep)\n token_lengths <- lengths(tokens)\n res <- matrix(fill, nrow = length(lines), ncol = max(token_lengths))\n\n for (i in seq_along(lines)) {\n res[i, seq_len(token_lengths[i])] <- type(tokens[[i]])\n }\n res\n}\n\ninput <- read_matrix(\"2022/08-input\", type = as.integer)\n\nres <- matrix(0, nrow = nrow(input), ncol = ncol(input))\n\nn_row <- nrow(input)\nn_col <- ncol(input)\n\ndistances <- function(input, rows, cols) {\n above <- input[rows, cols]\n suppressWarnings(distance <- min(which(!(tree > above))))\n if (distance == Inf) {\n distance <- length(above)\n }\n distance\n}\n\nfor (row in seq_len(n_row)) {\n for (col in seq_len(n_col)) {\n tree <- input[row, col]\n total <- 1\n\n # Above\n if (row > 1) {\n distance <- distances(input, seq(row - 1, 1), col)\n total <- total * distance\n }\n\n # below\n if (row < n_row) {\n distance <- distances(input, seq(row + 1, n_row), col)\n total <- total * distance\n }\n\n # left\n if (col > 1) {\n distance <- distances(input, row, seq(col - 1, 1))\n total <- total * distance\n }\n\n # right\n if (col < n_col) {\n distance <- distances(input, row, seq(col + 1, n_col))\n total <- total * distance\n }\n res[row, col] <- total\n }\n}\n\nmax(res)\n\n\n\n0.345 sec elapsed\n\nDay 9\nDay 10\nPart 1\n\n\ninput <- readLines(\"2022/10-input\")\n\nX <- 1\ncycles <- 0\n\nfor (i in input) {\n if (i == \"noop\") {\n cycles <- c(cycles, X)\n\n } else {\n cycles <- c(cycles, X)\n cycles <- c(cycles, X)\n val <- as.integer(substr(i, 6, nchar(i)))\n X <- X + val\n }\n}\n\ncycles <- cycles[-1]\n\nindex <- c(20, 60, 100, 140, 180, 220)\n\nsum(cycles[index] * index)\n\n\n\n0.004 sec elapsed\n\nPart 2\nDay 11\nDay 12\nDay 13\nDay 14\nDay 15\nDay 16\nDay 17\nDay 18\nDay 19\nDay 20\nDay 21\nDay 22\nDay 23\nDay 24\nDay 25\n\n\n\n\n", - "last_modified": "2023-10-15T18:20:44-07:00" + "last_modified": "2023-11-30T21:52:43-08:00" + }, + { + "path": "2023.html", + "title": "My 2023 Solutions", + "author": [], + "contents": "\n\n\n\n\n\nDay 1\nPart 1\n\n\ninput <- readLines(\"2023/01-input\")\n\ninput |>\n stringr::str_extract_all(\"\\\\d\") |>\n purrr::map_chr(~ paste0(head(.x, 1), tail(.x, 1))) |>\n as.integer() |>\n sum()\n\n\n\n0.01 sec elapsed\n\nPart 2\n\n\ninput <- readLines(\"2023/01-input\")\n\nnumbers <- c(\n \"one\" = 1, \"two\" = 2, \"three\" = 3, \"four\" = 4, \"five\" = 5,\n \"six\" = 6, \"seven\" = 7, \"eight\" = 8, \"nine\" = 9,\n setNames(nm = 1:9)\n)\nsrebmun <- numbers\nnames(srebmun) <- stringi::stri_reverse(names(srebmun))\n\nget_digit <- function(x, ref) {\n res <- x |>\n stringr::str_extract(paste0(\"(\", paste0(names(ref), collapse = \"|\"), \")\"))\n\n ref[res]\n}\n\nsum(\n get_digit(input, numbers) * 10 +\n get_digit(stringi::stri_reverse(input), srebmun)\n)\n\n\n\n0.006 sec elapsed\n\nDay 2\nDay 3\nDay 4\nDay 5\nDay 6\nDay 7\nDay 8\nDay 9\nDay 10\nDay 11\nDay 12\nDay 13\nDay 14\nDay 15\nDay 16\nDay 17\nDay 18\nDay 19\nDay 20\nDay 21\nDay 22\nDay 23\nDay 24\nDay 25\n\n\n\n\n", + "last_modified": "2023-11-30T21:52:44-08:00" }, { "path": "index.html", "title": "R Advent Of Code", "description": "Emil Hvitfeldt's solutions\n", "author": [], - "contents": "\nThis website is created using the emilhvitfeldt/rstats-adventofcode repository. I try to save all my solution in one place here.\nI don’t have any rules I follow. I will end up doing most solutions using base R because of the nature of the problems. I will be using both purrr and stringr when the need comes up, I don’t hate myself. I’m here to write code and have fun doing it.\nCompletion\n\n\n\nDay\n2015\n2016\n2017\n2018\n2019\n2020\n2021\n2022\n1\n**\n**\n**\n**\n**\n**\n**\n**\n2\n**\n**\n**\n**\n\n**\n**\n**\n3\n**\n**\n**\n**\n\n**\n**\n**\n4\n**\n**\n**\n**\n**\n**\n**\n**\n5\n**\n**\n**\n**\n\n**\n**\n**\n6\n**\n**\n**\n**\n\n**\n**\n**\n7\n**\n**\n**\n*\n\n**\n**\n**\n8\n**\n**\n**\n\n\n**\n**\n**\n9\n**\n**\n*\n\n\n**\n**\n\n10\n**\n**\n\n\n\n**\n**\n\n11\n**\n\n\n\n\n**\n**\n\n12\n**\n**\n\n\n\n**\n**\n\n13\n**\n**\n\n\n\n**\n**\n\n14\n**\n**\n\n\n\n*\n**\n\n15\n**\n**\n\n\n\n*\n\n\n16\n**\n**\n\n\n\n**\n\n\n17\n**\n\n\n\n\n**\n\n\n18\n**\n**\n\n\n\n**\n\n\n19\n**\n**\n\n\n\n**\n\n\n20\n**\n**\n\n\n\n**\n\n\n21\n**\n**\n\n\n\n**\n\n\n22\n\n*\n\n\n\n**\n\n\n23\n**\n\n\n\n\n**\n\n\n24\n**\n\n\n\n\n**\n\n\n25\n*\n\n\n\n\n*\n\n\n\n\n\n\n", - "last_modified": "2022-12-08T15:45:15-08:00" + "contents": "\nThis website is created using the emilhvitfeldt/rstats-adventofcode repository. I try to save all my solution in one place here.\nI don’t have any rules I follow. I will end up doing most solutions using base R because of the nature of the problems. I will be using both purrr and stringr when the need comes up, I don’t hate myself. I’m here to write code and have fun doing it.\nCompletion\n\n\n\nDay\n2015\n2016\n2017\n2018\n2019\n2020\n2021\n2022\n2023\n1\n**\n**\n**\n**\n**\n**\n**\n**\n**\n2\n**\n**\n**\n**\n\n**\n**\n**\n\n3\n**\n**\n**\n**\n\n**\n**\n**\n\n4\n**\n**\n**\n**\n**\n**\n**\n**\n\n5\n**\n**\n**\n**\n\n**\n**\n**\n\n6\n**\n**\n**\n**\n\n**\n**\n**\n\n7\n**\n**\n**\n*\n\n**\n**\n**\n\n8\n**\n**\n**\n\n\n**\n**\n**\n\n9\n**\n**\n\n\n\n**\n**\n\n\n10\n**\n**\n\n\n\n**\n**\n*\n\n11\n**\n\n\n\n\n**\n**\n\n\n12\n**\n**\n\n\n\n**\n**\n\n\n13\n**\n**\n\n\n\n**\n**\n\n\n14\n**\n**\n\n\n\n*\n**\n\n\n15\n**\n**\n\n\n\n*\n\n\n\n16\n**\n**\n\n\n\n**\n\n\n\n17\n**\n\n\n\n\n**\n\n\n\n18\n**\n**\n\n\n\n**\n\n\n\n19\n**\n**\n\n\n\n**\n\n\n\n20\n**\n**\n\n\n\n**\n\n\n\n21\n**\n**\n\n\n\n**\n\n\n\n22\n\n*\n\n\n\n**\n\n\n\n23\n**\n\n\n\n\n**\n\n\n\n24\n**\n\n\n\n\n**\n\n\n\n25\n*\n\n\n\n\n*\n\n\n\n\n\n\n\n", + "last_modified": "2023-11-30T21:52:44-08:00" } ], "collections": [] diff --git a/docs/site_libs/font-awesome-5.1.0/css/all.css b/docs/site_libs/font-awesome-5.1.0/css/all.css deleted file mode 100644 index 7fec2e3..0000000 --- a/docs/site_libs/font-awesome-5.1.0/css/all.css +++ /dev/null @@ -1,5 +0,0 @@ -/*! - * Font Awesome Free 5.1.0 by @fontawesome - https://fontawesome.com - * License - https://fontawesome.com/license (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) - */ 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We remove the former (to -// be compatible with the behavior of Pandoc < 2.8). -document.addEventListener('DOMContentLoaded', function(e) { - var hs = document.querySelectorAll("div.section[class*='level'] > :first-child"); - var i, h, a; - for (i = 0; i < hs.length; i++) { - h = hs[i]; - if (!/^h[1-6]$/i.test(h.tagName)) continue; // it should be a header h1-h6 - a = h.attributes; - while (a.length > 0) h.removeAttribute(a[0].name); - } -}); diff --git a/index.Rmd b/index.Rmd index 7cc9174..e322d52 100644 --- a/index.Rmd +++ b/index.Rmd @@ -47,7 +47,7 @@ get_solutions <- function(year) { tibble(Day = res, year = year) } -years <- 2015:2022 +years <- 2015:2023 years %>% map_dfr(get_solutions) %>%