From 37f5b0276e3c8858847f51290f15de169de82201 Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Sat, 24 Dec 2022 14:47:33 +0000
Subject: [PATCH 01/16] Done day 24

---
 advent-of-code22.cabal |   6 +-
 advent24/Main.hs       | 224 ++++++++++++++++++++++++++
 data/advent24.txt      |  27 ++++
 data/advent24a.txt     |   6 +
 problems/day24.html    | 349 +++++++++++++++++++++++++++++++++++++++++
 5 files changed, 611 insertions(+), 1 deletion(-)
 create mode 100644 advent24/Main.hs
 create mode 100644 data/advent24.txt
 create mode 100644 data/advent24a.txt
 create mode 100644 problems/day24.html

diff --git a/advent-of-code22.cabal b/advent-of-code22.cabal
index 20d4771..532085c 100644
--- a/advent-of-code22.cabal
+++ b/advent-of-code22.cabal
@@ -224,4 +224,8 @@ executable advent23prof
                        -Wall 
                        -threaded 
                        -rtsopts "-with-rtsopts=-N -p -s -hT"
-                       
\ No newline at end of file
+
+executable advent24
+  import: common-extensions, build-directives
+  main-is: advent24/Main.hs
+  build-depends: containers, pqueue, mtl, lens, linear, array
diff --git a/advent24/Main.hs b/advent24/Main.hs
new file mode 100644
index 0000000..c3e1469
--- /dev/null
+++ b/advent24/Main.hs
@@ -0,0 +1,224 @@
+-- Writeup at https://work.njae.me.uk/2022/12/24/advent-of-code-2022-day-24/
+
+-- import Debug.Trace
+
+import AoC
+import qualified Data.PQueue.Prio.Min as P
+import qualified Data.Set as S
+import qualified Data.IntMap.Strict as M
+import qualified Data.Sequence as Q
+-- import Data.Sequence ((<|), (|>), (><)) 
+import Data.Sequence ((|>)) 
+import Control.Monad.Reader
+import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+import Linear (V2(..), (^+^), (^-^))
+import Data.Array.IArray
+-- import Data.Ix
+import Data.List
+import Data.Maybe
+
+-- pattern Empty   <- (Q.viewl -> Q.EmptyL)  where Empty = Q.empty
+-- pattern x :< xs <- (Q.viewl -> x Q.:< xs) where (:<)  = (Q.<|) 
+-- pattern xs :> x <- (Q.viewr -> xs Q.:> x) where (:>)  = (Q.|>) 
+
+type Position = V2 Int -- x, y
+
+data Blizzard = Blizzard { _positionB :: Position, _headingB :: Position}
+  deriving (Eq, Ord, Show)
+makeLenses ''Blizzard
+
+type SafeValley = Array Position Bool
+type TimedValley = M.IntMap SafeValley
+
+data Valley = Valley
+  { blizzardStates :: TimedValley
+  , start :: Position
+  , goal :: Position
+  } deriving (Eq, Ord, Show)
+
+type ValleyContext = Reader Valley
+
+data Explorer = Explorer
+  { _currentPosition :: Position
+  , _currentTime :: Int
+  }deriving (Eq, Ord, Show)
+makeLenses ''Explorer
+
+data Agendum  = 
+    Agendum { _current :: Explorer
+            , _trail :: Q.Seq Explorer
+            , _trailCost :: Int
+            , _cost :: Int
+            } deriving (Show, Eq)
+makeLenses ''Agendum   
+
+type Agenda = P.MinPQueue Int Agendum
+
+type ExploredStates = S.Set Explorer
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- readFile dataFileName
+      let (blizzards, bnds) = mkInitialMap text
+      let valley = makeValley bnds blizzards 1000
+      print $ part1 valley
+      print $ part2 valley
+
+part1, part2 :: Valley -> Int
+part1 valley = _currentTime $ _current $ fromJust result
+  where result = runSearch valley 0
+
+part2 valley = trip3End
+  where reverseValley = valley {start = (goal valley), goal = (start valley)}
+        trip1End = _currentTime $ _current $ fromJust $ runSearch valley 0
+        trip2End = _currentTime $ _current $ fromJust $ runSearch reverseValley trip1End
+        trip3End = _currentTime $ _current $ fromJust $ runSearch valley trip2End
+
+makeValley :: (Position, Position) -> S.Set Blizzard -> Int -> Valley
+makeValley bds blizzards n = Valley
+  { blizzardStates = bStates
+  , start = V2 (minX + 1) maxY
+  , goal = V2 (maxX - 1) minY
+  }
+  where bStates = simulateBlizzards bds blizzards n 
+        (V2 minX minY, V2 maxX maxY) = bounds $ bStates M.! 0
+
+runSearch :: Valley -> Int -> Maybe Agendum 
+runSearch valley t = result
+  where result = runReader (searchValley t) valley
+
+searchValley :: Int -> ValleyContext (Maybe Agendum)
+searchValley t = 
+    do agenda <- initAgenda t
+       aStar agenda S.empty
+
+initAgenda :: Int -> ValleyContext Agenda
+initAgenda t = 
+    do pos <- asks start
+       let explorer = Explorer pos t
+       c <- estimateCost explorer
+       return $ P.singleton c Agendum { _current = explorer, _trail = Q.empty, _trailCost = 0, _cost = c}
+
+aStar ::  Agenda -> ExploredStates -> ValleyContext (Maybe Agendum)
+aStar agenda closed 
+    -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMin agenda) ) False = undefined
+    -- | trace ("Peeping " ++ (show $ snd $ P.findMin agenda) ) False = undefined
+    | P.null agenda = return Nothing
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMin agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_cost a) a q) (P.deleteMin agenda) nexts
+            reachedGoal <- isGoal reached
+            if reachedGoal
+            then return (Just currentAgendum)
+            else if reached `S.member` closed
+                 then aStar (P.deleteMin agenda) closed
+                 else aStar newAgenda (S.insert reached closed)
+
+candidates ::  Agendum -> ExploredStates -> ValleyContext (Q.Seq Agendum)
+candidates agendum closed = 
+    do  let candidate = agendum ^. current
+        let previous = agendum ^. trail
+        let prevCost = agendum ^. trailCost
+        succs <- successors candidate
+        let nonloops = Q.filter (\s -> s `S.notMember` closed) succs
+        mapM (makeAgendum previous prevCost) nonloops
+
+makeAgendum ::  Q.Seq Explorer -> Int -> Explorer -> ValleyContext Agendum 
+makeAgendum previous prevCost newExplorer = 
+    do predicted <- estimateCost newExplorer
+       let newTrail = previous |> newExplorer
+       let incurred = prevCost + 1
+       return Agendum { _current = newExplorer
+                      , _trail = newTrail
+                      , _trailCost = incurred
+                      , _cost = incurred + predicted
+                      }
+
+isGoal :: Explorer -> ValleyContext Bool
+isGoal here = 
+  do goal <- asks goal
+     return $ (here ^. currentPosition) == goal
+
+successors :: Explorer -> ValleyContext (Q.Seq Explorer)
+successors here = 
+  do allBlizzards <- asks blizzardStates
+     let nextTime = (here ^. currentTime) + 1
+     let blizzards = allBlizzards M.! nextTime
+     let bds = bounds blizzards
+     let pos = here ^. currentPosition
+     let neighbours = 
+          filter (\p -> (blizzards ! p)) $
+          filter (inRange bds)
+            [ pos ^+^ delta
+            | delta <- [V2 0 0, V2 -1 0, V2 1 0, V2 0 -1, V2 0 1]
+            ]
+     let succs = Q.fromList 
+                  $ fmap (\nbr -> here & currentTime .~ nextTime 
+                                       & currentPosition .~ nbr ) 
+                         neighbours
+     return succs
+
+estimateCost :: Explorer -> ValleyContext Int
+estimateCost here = 
+  do goal <- asks goal
+     let (V2 dx dy) = (here ^. currentPosition) ^-^ goal
+     return $ (abs dx) + (abs dy)
+
+
+mkInitialMap :: String -> (S.Set Blizzard, (Position, Position))
+mkInitialMap text = 
+  ( S.fromList [ Blizzard (V2 (x - 1) (y - 1)) (deltaOfArrow $ charAt x y)
+               | x <- [0..maxX]
+               , y <- [0..maxY]
+               , isBlizzard x y
+               ]
+  , (V2 0 0, V2 (maxX - 1) (maxY - 1))
+  )
+  where rows = reverse $ lines text
+        maxY = length rows - 1
+        maxX = (length $ head rows) - 1
+        charAt x y = ((rows !! y) !! x)
+        isBlizzard x y = (charAt x y) `elem` ("^<>v" :: String)
+
+deltaOfArrow :: Char -> Position
+deltaOfArrow '^' = V2 0 1
+deltaOfArrow '>' = V2 1 0
+deltaOfArrow 'v' = V2 0 -1
+deltaOfArrow '<' = V2 -1 0
+deltaOfArrow _   = V2 0 0
+
+advanceBlizzard :: (Position, Position) -> S.Set Blizzard -> S.Set Blizzard
+advanceBlizzard bnds blizzards = S.map (advanceOneBlizzard bnds) blizzards
+
+advanceOneBlizzard :: (Position, Position) -> Blizzard -> Blizzard
+advanceOneBlizzard (_, V2 maxX maxY) blizzard = blizzard' & positionB %~ wrap
+  where wrap (V2 x0 y0) = V2 (x0 `mod` maxX) (y0 `mod` maxY)
+        blizzard' = blizzard & positionB %~ (^+^ (blizzard ^. headingB))
+
+toSafe :: (Position, Position) -> S.Set Blizzard -> SafeValley
+toSafe (_, V2 maxX maxY) blizzards = accumArray (\_ _ -> False) True bnds' unsafeElements
+  where unsafeElements = fmap (\i -> (i, False)) $ blizzardLocations ++ walls
+        blizzardLocations = fmap (^+^ (V2 1 1)) $ fmap (^. positionB) $ S.toList blizzards
+        walls = left ++ right ++ top ++ bottom
+        left   = range (V2 0          0         , V2 0          (maxY + 1))
+        right  = range (V2 (maxX + 1) 0         , V2 (maxX + 1) (maxY + 1))
+        top    = range (V2 2          (maxY + 1), V2 (maxX + 1) (maxY + 1))
+        bottom = range (V2 0          0         , V2 (maxX - 1) 0         )
+        bnds' = (V2 0 0, V2 (maxX + 1) (maxY + 1))
+
+simulateBlizzards :: (Position, Position) -> S.Set Blizzard -> Int -> TimedValley
+simulateBlizzards bnds blizzards n = 
+  M.fromList $ take n 
+             $ zip [0..] 
+             $ fmap (toSafe bnds) 
+             $ iterate (advanceBlizzard bnds) blizzards
+
+showSafe :: SafeValley -> String
+showSafe valley = unlines $ reverse rows
+  where (V2 minX minY, V2 maxX maxY) = bounds valley
+        rows = [mkRow y | y <- [minY..maxY]]
+        mkRow y = [if valley ! (V2 x y) then '.' else '#' | x <- [minX..maxX]]
diff --git a/data/advent24.txt b/data/advent24.txt
new file mode 100644
index 0000000..7bd0678
--- /dev/null
+++ b/data/advent24.txt
@@ -0,0 +1,27 @@
+#.########################################################################################################################
+#.<v>><<<^v<>^<^vv.^<^^^<^v><>vv<v^.^v>v.^><v..<><..vv><v.<.v<<^.>>>>>>^<^>^>vv<^>>^v^.<.<<>^<<>^>>^>.><>.^>.v^<<><<^vvv<#
+#>.<v>v<>v>vv^.<>^^v.><<^>^v^<>v^>>>><<^<^vv>v>><^>v.^v<<^v<.<>v>>^><>>^>^<>v<><<>.v.^<.<<>vvv<^v.<>v>^^vv^^^<>^^<<<^<v>>#
+#><.<<vvv<>.vvv<><^<>v<.v>v.<>^>^v>^<<><vv^<v>><vv<<><^^^v^>^..<<^<.><v<v>^^v.<<vv<v^^>vv><<>^v><>><>^<^^^^v^<>><.vvvv.<>#
+#>v>^v>>vvv<v><>.><>.>>v>vvv<v<v<>^>>><<>>><.vvv.<>.<>^<>v><<v^^<>v>.>^^v^.^><^<^<<v<<^<^<^<vv.><<^^^><vvv.>v><>^v^.<<>v>#
+#<^>v>vvv>v<v<vv<<.v<<v<^<v^.^v.>.>v^<..^.^<..^>>^vv^<<vv<><v.<<>>><^v><>>vv.v<^.v<v>^<>v.>^<.^v>><<>v><v^<><v>vv>><<^>>>#
+#<^v<>vv<v^^>^>><<^<<v<>^<vv<<<^vv^<>>^^<.<<^^.v<^<><vv^v.v<>>v^<^^>v>v>><v<v>v^<<.^<<^>>><^v<>^^<>v>><>.v>v.^>><>.<v>^<>#
+#<.<.>vvv^^.^.<v.>^<<<.<>>>v^><.v>v.>^^<^>^><vv^<.<v>>>^>v.v<>.^^^^.^<v<v^.v>^>v.<^>>^<v<>vv^<vv<<<v<<.>^vv>>v><^^.><>>.>#
+#><>v<<^v^v^^><v>>v^>>.v<>>>>.><^>>>.v<v>v^>>vv>.v>v^v<v^<<>>>><<<>v.v<v<^^.<>v.^<v>vvv^vv>^v..<^^^^^v^>v<<.^^<>.vv.^^>><#
+#>.v^^.v<vv^v<^^>v^<>.<><^^.<v<vv.v>v.^^<v^v^>>^>v<^<v.^><.<<<vv^^<v^<>>.v^.>v<>>^>vvv<vv<<^<><^^^v<<<^>>v^vvv^vvv>v>^<>>#
+#><^<<vv^>^<^v.><vv<^v>>^<>^>><<<<<^..^^<<^>v>.vvv^vv^>>v^v^^v<.<.v^<>v^<<><<v<^>^vv><>>^v.v.^>>^>^><>v<<<^<v<<^^v<^^^vv<#
+#><><<><.<<>>>>>^v^<v^>>^..v>^<v^<<^.><>.<<.>v>v<>.<v<<<><<>.<vv^vv>v<.v>^<>><v><<>>v<>>^><.vvv.><^<><^v>v<^v>^v<>>^.v.<>#
+#<>><^.^^v^v><^^<.>v<>^><>v^.v>vv^>>>><^vvv>>.>.<>vv>^>v<.^>^<v<>v>^v>^v>v^^vv.<<>^<..^v<>v<>vv<<<^v<^v<v<>>^^v>><v><v^<>#
+#><.<v..^<><^v><>v>>vvvv^vvv.^.v>v^^.>vvv^^<>vvv>vv<vv>>>>>^>v.>.>^><>^^.>>.^<v>.vv^<v>><vv><>><^><v^..<v^>^<<<.<<.>.v<^>#
+#><<v<>vvvv<^>^.>^.<<.<v^v<<<^^^.>.^^>.v<>^v><v^vv^<<<<<.v<v>^^>^vvv<<<v^<v<.<vv>>.^v^v<<>v^..v^<v>^<>><<>v^vv<^.^.><v^><#
+#<.<vv<v^^v>v><.>v^vv..<><.v>^>^^^^^>v^v><v<v><^>v<<v^<^^.<>v<^v>^<v^v^^<v^^>.v.>>>^^>.^^<>v>><v^>^^.v>vv^<^>v^><v<v<>>^<#
+#<^<^><>>v<.>^>v>v<>^^<>v>v<>v>><^><>>v.v^v^^^v^^vv<^>><<v><<v><>^^^>^<<<>.^<>>>.>v.v^..^<^>>>>.^>^^.>>^<v^>>^<^<v^><.^<>#
+#>><^v><>v><v^<><vv.v<v<<^<.v><.^^>.^v>^v^v.vv<^.><^^.^<>vv>>>.>v^.<^<^v>^v.<<<v^v<>vv><v^.<^>.^v^v>^<.<<.^v^>^^<>>.^^v<>#
+#>.^v^>v<..<v>v^.<>^.>^<^v.^><>^>^><^>><v<v>^<<v<<<><v<vv<v^^.<v>.>.^.<><v^<v<vvv<>>^<vv<<v>.v.^v>v<>v>v>v>>^^v>v<>^^^v<<#
+#<v>v><<>>v<^>v^v>.>v>><^v>v^>....v<<^^^^vv<>><^<^^v^>>^<<^^>^<.^^<>v<vv.>v^<^<<>v^vv^^.^>^.^>>.<>^>.v^<>^.<.<<v<<^^>^^.<#
+#>vv<v^v^<.v^><^^>^^v<v>^v<<^^v<><^v.<<v^vv^>><.>^.^^^..v<>>^>.<v<.>.><<<.v<^<>^<>>^^<^.^>^<>>v<.>^<<<<<v<v^v>>v^^.^<..<>#
+#<^^vvv^<.^<>.^^.<^<<<v<vv>>.><v>^vv^.v<>.<.>.><<^>.v<><v<^^>.v<vv.>v>vv<<<<>.>^v>>^<>.^>>^>v>.v<v><v<^^^^<^^v^v.^<..v>^<#
+#<<^<v^^>>^^>v>>v><>>>>>v>v><^^^vv<v><v><>.v<<<><.v.<><><><^.^v<<^<vv^^v<v^v^>>.<v^vv<<>v^vv><^>^^>v>>v<^.<.<^^<>^^v<><<>#
+#<^>>^<.>><>>v.^.>^^>>^<<><vvv^.vv>v<>>^v<>^>.^v<^^^>.<>v><<v<v>>^<^v<v>v<><<^^<.^^v<^^<<^<^<<^^>^^^<^^v<<>>>v^.vv<.v^><>#
+#<vv^v.v>>.>>>.<><v<>^.v<v^>^^<<^^>vv^>>>>>v^v>vv^>.<v.<<v>vv<v^vv><.vv.<.^<vv<<^><v>.>.><<^<.vv.vv>.^^>vv>><<<vv^<><.<v.#
+#<^v>><>v..><^<<>.v<.>><><.^<<<<<v<<v^.^.^<.><v.vv<v..<<>^<vv.>>>v^.<vv.v<>^>>.<v><.<<^vvv^.^vv^<>^^<.^<^<.^<<><v<<v>^<^>#
+########################################################################################################################.#
\ No newline at end of file
diff --git a/data/advent24a.txt b/data/advent24a.txt
new file mode 100644
index 0000000..6b9b892
--- /dev/null
+++ b/data/advent24a.txt
@@ -0,0 +1,6 @@
+#.######
+#>>.<^<#
+#.<..<<#
+#>v.><>#
+#<^v^^>#
+######.#
\ No newline at end of file
diff --git a/problems/day24.html b/problems/day24.html
new file mode 100644
index 0000000..099c45c
--- /dev/null
+++ b/problems/day24.html
@@ -0,0 +1,349 @@
+<!DOCTYPE html>
+<html lang="en-us">
+<head>
+<meta charset="utf-8"/>
+<title>Day 24 - Advent of Code 2022</title>
+<!--[if lt IE 9]><script src="/static/html5.js"></script><![endif]-->
+<link href='//fonts.googleapis.com/css?family=Source+Code+Pro:300&subset=latin,latin-ext' rel='stylesheet' type='text/css'/>
+<link rel="stylesheet" type="text/css" href="/static/style.css?30"/>
+<link rel="stylesheet alternate" type="text/css" href="/static/highcontrast.css?0" title="High Contrast"/>
+<link rel="shortcut icon" href="/favicon.png"/>
+<script>window.addEventListener('click', function(e,s,r){if(e.target.nodeName==='CODE'&&e.detail===3){s=window.getSelection();s.removeAllRanges();r=document.createRange();r.selectNodeContents(e.target);s.addRange(r);}});</script>
+</head><!--
+
+
+
+
+Oh, hello!  Funny seeing you here.
+
+I appreciate your enthusiasm, but you aren't going to find much down here.
+There certainly aren't clues to any of the puzzles.  The best surprises don't
+even appear in the source until you unlock them for real.
+
+Please be careful with automated requests; I'm not a massive company, and I can
+only take so much traffic.  Please be considerate so that everyone gets to play.
+
+If you're curious about how Advent of Code works, it's running on some custom
+Perl code. Other than a few integrations (auth, analytics, social media), I
+built the whole thing myself, including the design, animations, prose, and all
+of the puzzles.
+
+The puzzles are most of the work; preparing a new calendar and a new set of
+puzzles each year takes all of my free time for 4-5 months. A lot of effort
+went into building this thing - I hope you're enjoying playing it as much as I
+enjoyed making it for you!
+
+If you'd like to hang out, I'm @ericwastl on Twitter.
+
+- Eric Wastl
+
+
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+
+-->
+<body>
+<header><div><h1 class="title-global"><a href="/">Advent of Code</a></h1><nav><ul><li><a href="/2022/about">[About]</a></li><li><a href="/2022/events">[Events]</a></li><li><a href="https://teespring.com/stores/advent-of-code" target="_blank">[Shop]</a></li><li><a href="/2022/settings">[Settings]</a></li><li><a href="/2022/auth/logout">[Log Out]</a></li></ul></nav><div class="user">Neil Smith <a href="/2022/support" class="supporter-badge" title="Advent of Code Supporter">(AoC++)</a> <span class="star-count">48*</span></div></div><div><h1 class="title-event">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span class="title-event-wrap">/*</span><a href="/2022">2022</a><span class="title-event-wrap">*/</span></h1><nav><ul><li><a href="/2022">[Calendar]</a></li><li><a href="/2022/support">[AoC++]</a></li><li><a href="/2022/sponsors">[Sponsors]</a></li><li><a href="/2022/leaderboard">[Leaderboard]</a></li><li><a href="/2022/stats">[Stats]</a></li></ul></nav></div></header>
+
+<div id="sidebar">
+<div id="sponsor"><div class="quiet">Our <a href="/2022/sponsors">sponsors</a> help make Advent of Code possible:</div><div class="sponsor"><a href="https://www.americanexpress.com/en-us/careers/career-areas/technology/" target="_blank" onclick="if(ga)ga('send','event','sponsor','sidebar',this.href);" rel="noopener">American Express</a> - Work with the latest tech and back the engineering community through open source. Find your place in tech on #TeamAmex.</div></div>
+</div><!--/sidebar-->
+
+<main>
+<article class="day-desc"><h2>--- Day 24: Blizzard Basin ---</h2><p>With everything replanted for next year (and with elephants and monkeys to tend the grove), you and the Elves leave for the extraction point.</p>
+<p>Partway up the mountain that shields the grove is a flat, open area that serves as the extraction point. It's a bit of a climb, but nothing the expedition can't handle.</p>
+<p>At least, that would normally be true; now that the mountain is covered in snow, things have become more difficult than the Elves are used to.</p>
+<p>As the expedition reaches a valley that must be traversed to reach the extraction site, you find that strong, turbulent winds are pushing small <em>blizzards</em> of snow and sharp ice around the valley. It's a good thing everyone packed warm clothes! To make it across safely, you'll need to find a way to avoid them.</p>
+<p>Fortunately, it's easy to see all of this from the entrance to the valley, so you make a map of the valley and the blizzards (your puzzle input). For example:</p>
+<pre><code>#.#####
+#.....#
+#&gt;....#
+#.....#
+#...v.#
+#.....#
+#####.#
+</code></pre>
+<p>The walls of the valley are drawn as <code>#</code>; everything else is ground. Clear ground - where there is currently no blizzard - is drawn as <code>.</code>. Otherwise, blizzards are drawn with an arrow indicating their direction of motion: up (<code>^</code>), down (<code>v</code>), left (<code>&lt;</code>), or right (<code>&gt;</code>).</p>
+<p>The above map includes two blizzards, one moving right (<code>&gt;</code>) and one moving down (<code>v</code>). In one minute, each blizzard moves one position in the direction it is pointing:</p>
+<pre><code>#.#####
+#.....#
+#.&gt;...#
+#.....#
+#.....#
+#...v.#
+#####.#
+</code></pre>
+<p>Due to <span title="I think, anyway. Do I look like a theoretical blizzacist?">conservation of blizzard energy</span>, as a blizzard reaches the wall of the valley, a new blizzard forms on the opposite side of the valley moving in the same direction. After another minute, the bottom downward-moving blizzard has been replaced with a new downward-moving blizzard at the top of the valley instead:</p>
+<pre><code>#.#####
+#...v.#
+#..&gt;..#
+#.....#
+#.....#
+#.....#
+#####.#
+</code></pre>
+<p>Because blizzards are made of tiny snowflakes, they pass right through each other. After another minute, both blizzards temporarily occupy the same position, marked <code>2</code>:</p>
+<pre><code>#.#####
+#.....#
+#...2.#
+#.....#
+#.....#
+#.....#
+#####.#
+</code></pre>
+<p>After another minute, the situation resolves itself, giving each blizzard back its personal space:</p>
+<pre><code>#.#####
+#.....#
+#....&gt;#
+#...v.#
+#.....#
+#.....#
+#####.#
+</code></pre>
+<p>Finally, after yet another minute, the rightward-facing blizzard on the right is replaced with a new one on the left facing the same direction:</p>
+<pre><code>#.#####
+#.....#
+#&gt;....#
+#.....#
+#...v.#
+#.....#
+#####.#
+</code></pre>
+<p>This process repeats at least as long as you are observing it, but probably forever.</p>
+<p>Here is a more complex example:</p>
+<pre><code>#.######
+#&gt;&gt;.&lt;^&lt;#
+#.&lt;..&lt;&lt;#
+#&gt;v.&gt;&lt;&gt;#
+#&lt;^v^^&gt;#
+######.#
+</code></pre>
+<p>Your expedition begins in the only non-wall position in the top row and needs to reach the only non-wall position in the bottom row. On each minute, you can <em>move</em> up, down, left, or right, or you can <em>wait</em> in place. You and the blizzards act <em>simultaneously</em>, and you cannot share a position with a blizzard.</p>
+<p>In the above example, the fastest way to reach your goal requires <code><em>18</em></code> steps. Drawing the position of the expedition as <code>E</code>, one way to achieve this is:</p>
+<pre><code>Initial state:
+#<em>E</em>######
+#&gt;&gt;.&lt;^&lt;#
+#.&lt;..&lt;&lt;#
+#&gt;v.&gt;&lt;&gt;#
+#&lt;^v^^&gt;#
+######.#
+
+Minute 1, move down:
+#.######
+#<em>E</em>&gt;3.&lt;.#
+#&lt;..&lt;&lt;.#
+#&gt;2.22.#
+#&gt;v..^&lt;#
+######.#
+
+Minute 2, move down:
+#.######
+#.2&gt;2..#
+#<em>E</em>^22^&lt;#
+#.&gt;2.^&gt;#
+#.&gt;..&lt;.#
+######.#
+
+Minute 3, wait:
+#.######
+#&lt;^&lt;22.#
+#<em>E</em>2&lt;.2.#
+#&gt;&lt;2&gt;..#
+#..&gt;&lt;..#
+######.#
+
+Minute 4, move up:
+#.######
+#<em>E</em>&lt;..22#
+#&lt;&lt;.&lt;..#
+#&lt;2.&gt;&gt;.#
+#.^22^.#
+######.#
+
+Minute 5, move right:
+#.######
+#2<em>E</em>v.&lt;&gt;#
+#&lt;.&lt;..&lt;#
+#.^&gt;^22#
+#.2..2.#
+######.#
+
+Minute 6, move right:
+#.######
+#&gt;2<em>E</em>&lt;.&lt;#
+#.2v^2&lt;#
+#&gt;..&gt;2&gt;#
+#&lt;....&gt;#
+######.#
+
+Minute 7, move down:
+#.######
+#.22^2.#
+#&lt;v<em>E</em>&lt;2.#
+#&gt;&gt;v&lt;&gt;.#
+#&gt;....&lt;#
+######.#
+
+Minute 8, move left:
+#.######
+#.&lt;&gt;2^.#
+#.<em>E</em>&lt;&lt;.&lt;#
+#.22..&gt;#
+#.2v^2.#
+######.#
+
+Minute 9, move up:
+#.######
+#&lt;<em>E</em>2&gt;&gt;.#
+#.&lt;&lt;.&lt;.#
+#&gt;2&gt;2^.#
+#.v&gt;&lt;^.#
+######.#
+
+Minute 10, move right:
+#.######
+#.2<em>E</em>.&gt;2#
+#&lt;2v2^.#
+#&lt;&gt;.&gt;2.#
+#..&lt;&gt;..#
+######.#
+
+Minute 11, wait:
+#.######
+#2^<em>E</em>^2&gt;#
+#&lt;v&lt;.^&lt;#
+#..2.&gt;2#
+#.&lt;..&gt;.#
+######.#
+
+Minute 12, move down:
+#.######
+#&gt;&gt;.&lt;^&lt;#
+#.&lt;<em>E</em>.&lt;&lt;#
+#&gt;v.&gt;&lt;&gt;#
+#&lt;^v^^&gt;#
+######.#
+
+Minute 13, move down:
+#.######
+#.&gt;3.&lt;.#
+#&lt;..&lt;&lt;.#
+#&gt;2<em>E</em>22.#
+#&gt;v..^&lt;#
+######.#
+
+Minute 14, move right:
+#.######
+#.2&gt;2..#
+#.^22^&lt;#
+#.&gt;2<em>E</em>^&gt;#
+#.&gt;..&lt;.#
+######.#
+
+Minute 15, move right:
+#.######
+#&lt;^&lt;22.#
+#.2&lt;.2.#
+#&gt;&lt;2&gt;<em>E</em>.#
+#..&gt;&lt;..#
+######.#
+
+Minute 16, move right:
+#.######
+#.&lt;..22#
+#&lt;&lt;.&lt;..#
+#&lt;2.&gt;&gt;<em>E</em>#
+#.^22^.#
+######.#
+
+Minute 17, move down:
+#.######
+#2.v.&lt;&gt;#
+#&lt;.&lt;..&lt;#
+#.^&gt;^22#
+#.2..2<em>E</em>#
+######.#
+
+Minute 18, move down:
+#.######
+#&gt;2.&lt;.&lt;#
+#.2v^2&lt;#
+#&gt;..&gt;2&gt;#
+#&lt;....&gt;#
+######<em>E</em>#
+</code></pre>
+<p><em>What is the fewest number of minutes required to avoid the blizzards and reach the goal?</em></p>
+</article>
+<p>Your puzzle answer was <code>288</code>.</p><article class="day-desc"><h2 id="part2">--- Part Two ---</h2><p>As the expedition reaches the far side of the valley, one of the Elves looks especially dismayed:</p>
+<p>He <em>forgot his snacks</em> at the entrance to the valley!</p>
+<p>Since you're so good at dodging blizzards, the Elves humbly request that you go back for his snacks. From the same initial conditions, how quickly can you make it from the start to the goal, then back to the start, then back to the goal?</p>
+<p>In the above example, the first trip to the goal takes <code>18</code> minutes, the trip back to the start takes <code>23</code> minutes, and the trip back to the goal again takes <code>13</code> minutes, for a total time of <code><em>54</em></code> minutes.</p>
+<p><em>What is the fewest number of minutes required to reach the goal, go back to the start, then reach the goal again?</em></p>
+</article>
+<p>Your puzzle answer was <code>861</code>.</p><p class="day-success">Both parts of this puzzle are complete! They provide two gold stars: **</p>
+<p>At this point, you should <a href="/2022">return to your Advent calendar</a> and try another puzzle.</p>
+<p>If you still want to see it, you can <a href="24/input" target="_blank">get your puzzle input</a>.</p>
+<p>You can also <span class="share">[Share<span class="share-content">on
+  <a href="https://twitter.com/intent/tweet?text=I%27ve+completed+%22Blizzard+Basin%22+%2D+Day+24+%2D+Advent+of+Code+2022&amp;url=https%3A%2F%2Fadventofcode%2Ecom%2F2022%2Fday%2F24&amp;related=ericwastl&amp;hashtags=AdventOfCode" target="_blank">Twitter</a>
+  <a href="javascript:void(0);" onclick="var mastodon_instance=prompt('Mastodon Instance / Server Name?'); if(typeof mastodon_instance==='string' && mastodon_instance.length){this.href='https://'+mastodon_instance+'/share?text=I%27ve+completed+%22Blizzard+Basin%22+%2D+Day+24+%2D+Advent+of+Code+2022+%23AdventOfCode+https%3A%2F%2Fadventofcode%2Ecom%2F2022%2Fday%2F24'}else{return false;}" target="_blank">Mastodon</a
+></span>]</span> this puzzle.</p>
+</main>
+
+<!-- ga -->
+<script>
+(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
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+ga('send', 'pageview');
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+</body>
+</html>
\ No newline at end of file
-- 
2.34.1


From 3047c5925ea808b3b6dadfa23bcec7651efc5ec9 Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Sun, 25 Dec 2022 16:37:28 +0000
Subject: [PATCH 02/16] Done day 25

---
 advent-of-code22.cabal |   5 ++
 advent25/Main.hs       |  49 ++++++++++
 data/advent25.txt      | 135 ++++++++++++++++++++++++++++
 data/advent25a.txt     |  13 +++
 problems/day25.html    | 197 +++++++++++++++++++++++++++++++++++++++++
 5 files changed, 399 insertions(+)
 create mode 100644 advent25/Main.hs
 create mode 100644 data/advent25.txt
 create mode 100644 data/advent25a.txt
 create mode 100644 problems/day25.html

diff --git a/advent-of-code22.cabal b/advent-of-code22.cabal
index 532085c..3504e46 100644
--- a/advent-of-code22.cabal
+++ b/advent-of-code22.cabal
@@ -229,3 +229,8 @@ executable advent24
   import: common-extensions, build-directives
   main-is: advent24/Main.hs
   build-depends: containers, pqueue, mtl, lens, linear, array
+
+executable advent25
+  import: common-extensions, build-directives
+  main-is: advent25/Main.hs
+--   build-depends: split
diff --git a/advent25/Main.hs b/advent25/Main.hs
new file mode 100644
index 0000000..39ba5c1
--- /dev/null
+++ b/advent25/Main.hs
@@ -0,0 +1,49 @@
+-- Writeup at https://work.njae.me.uk/2022/12/01/advent-of-code-2022-day-1/
+
+import AoC
+import Data.List
+
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      numStrs <- readFile dataFileName
+      let fuels = fmap readSnafu $ lines numStrs
+      putStrLn $ showSnafu $ sum fuels
+      -- print $ part1 fuels
+
+readSnafu :: String -> Int
+readSnafu cs = foldl' go 0 cs
+  where go acc c = acc * 5 + (snafuValue c)
+
+snafuValue :: Char -> Int
+snafuValue '2' = 2
+snafuValue '1' = 1
+snafuValue '0' = 0
+snafuValue '-' = -1
+snafuValue '=' = -2
+snafuValue _ = error "Illegal digit in read"
+
+showSnafu :: Int -> String
+showSnafu n = reverse $ packSnafu 0 $ toBase5R n
+
+toBase5R :: Int -> [Int]
+toBase5R 0 = []
+toBase5R n = (r : (toBase5R k))
+  where (k, r) = n `divMod` 5
+
+packSnafu :: Int -> [Int] -> String
+packSnafu 0 [] = ""
+packSnafu carry [] = [snafuRep carry]
+packSnafu carry (d:ds)
+  | d' <= 2 = ((snafuRep d') : (packSnafu 0 ds))
+  | otherwise = ((snafuRep (d' - 5)) : (packSnafu 1 ds))
+  where d' = d + carry
+
+snafuRep :: Int -> Char
+snafuRep 2 = '2'
+snafuRep 1 = '1'
+snafuRep 0 = '0'
+snafuRep -1 = '-'
+snafuRep -2 = '='
+snafuRep _ = error "Illegal number in show"
diff --git a/data/advent25.txt b/data/advent25.txt
new file mode 100644
index 0000000..b5ab655
--- /dev/null
+++ b/data/advent25.txt
@@ -0,0 +1,135 @@
+1--
+1-
+1--02
+1122-=2-==0-0=1-2
+2=1-==-1022=10
+1==-02211022=000
+101==210-21=2
+11010==0==221=0=02
+11=1101020=02-11
+1===
+10-2
+10=02=-=02
+1-1--112-202--0
+11-=-0-002=0112-1
+2--0-2=02=-22
+1001-2
+1=101=2=2102-201--1
+1-2==1100--
+2-01=--=1-11
+101-=0010-210==
+1=-21-022121110
+1==21
+22==1
+2-0-=2=1
+2--0=10-00--2-
+1--1=011-2
+1-100-2
+11-1
+112
+222200110-11110-2=
+1==2-210-1122=-2022
+2==1-20-2-=-21
+21=1-=0=-1-=-=-12
+210---=-1===-===00
+1--21=01-022=2-
+11-=
+21-2
+2-22-0
+1==-
+1-----01
+1-0-21-
+211212-22-12--=2
+1=220=10=20200-0
+21-=11-==20=1
+102-2==2-==-0
+1=0=01-
+22=1--0111
+1-----=1==00===0-
+20==-1-121-
+1=--2--21-202=21
+1-0122=--=
+2==-2--===-=-1=-012
+2220=-00-10-
+1==0=---10212-1-
+1221=-022120
+100112
+2-=0=220-=01-1=12-
+1=00
+2122121=2
+2-==
+12-21===10220
+1=0
+22-1=--01-==0
+1-2-2202=1=02
+11-===21-
+1-22=0102-=-222-1
+1021=0=21=0=11=2-2
+1===2222=0-0=
+20=2-=0=
+1=2==02-1-100200
+1=1211211----
+12=1=1---=20
+2--2=2=1100020200
+1=0-002-11-10----
+1=1=-1=-0
+1-21=1=02=21=20
+1-=0-002-0=--=0=
+20-===-1=
+220021012
+12===1001=--=2=1-
+1=-02
+21
+2=200222122
+1-2=110111=012=1-
+1=02=
+101==1-=1=0001
+1=22--1-021
+120
+201-0211
+1-1012211--2=-1=
+12=10202=20
+11-22=2=2=-0==1=00
+11=-
+12-1--2222
+22
+1120--0==
+10=-0=001-
+1=00200200=
+1-20
+1-0-
+10112-202=-011
+11-2=
+1-=10=1-0=-21==11200
+11
+12-0-=01--12
+1-=1121-=0
+120-21=-1=10121=
+1102-22
+21=
+1==--1==---1-==
+12=0--=2210-1==
+22210=1-=0
+1102-20-1
+1=1=2102
+11--=2==-0
+2=0=1=
+21-0-10=
+12-212-2=-==102--
+1==0100210-=
+12210-0-1
+1=0-2-0=
+10-1=211=1-2=
+201-0--
+1--2=00=-1-211
+121=-22100=210--
+122-0-1-
+2=211
+2=1-=2-2-0001=-1
+1102--11=0=1=10==2
+1==01121-2--0=12
+2=21-20=-0-0
+2-212=21-02=1-2-02
+2=1-0
+10-0-=20
+2=2=201
\ No newline at end of file
diff --git a/data/advent25a.txt b/data/advent25a.txt
new file mode 100644
index 0000000..237ef0c
--- /dev/null
+++ b/data/advent25a.txt
@@ -0,0 +1,13 @@
+1=-0-2
+12111
+2=0=
+21
+2=01
+111
+20012
+112
+1=-1=
+1-12
+12
+1=
+122
\ No newline at end of file
diff --git a/problems/day25.html b/problems/day25.html
new file mode 100644
index 0000000..71b6e08
--- /dev/null
+++ b/problems/day25.html
@@ -0,0 +1,197 @@
+<!DOCTYPE html>
+<html lang="en-us">
+<head>
+<meta charset="utf-8"/>
+<title>Day 25 - Advent of Code 2022</title>
+<!--[if lt IE 9]><script src="/static/html5.js"></script><![endif]-->
+<link href='//fonts.googleapis.com/css?family=Source+Code+Pro:300&subset=latin,latin-ext' rel='stylesheet' type='text/css'/>
+<link rel="stylesheet" type="text/css" href="/static/style.css?30"/>
+<link rel="stylesheet alternate" type="text/css" href="/static/highcontrast.css?0" title="High Contrast"/>
+<link rel="shortcut icon" href="/favicon.png"/>
+<script>window.addEventListener('click', function(e,s,r){if(e.target.nodeName==='CODE'&&e.detail===3){s=window.getSelection();s.removeAllRanges();r=document.createRange();r.selectNodeContents(e.target);s.addRange(r);}});</script>
+</head><!--
+
+
+
+
+Oh, hello!  Funny seeing you here.
+
+I appreciate your enthusiasm, but you aren't going to find much down here.
+There certainly aren't clues to any of the puzzles.  The best surprises don't
+even appear in the source until you unlock them for real.
+
+Please be careful with automated requests; I'm not a massive company, and I can
+only take so much traffic.  Please be considerate so that everyone gets to play.
+
+If you're curious about how Advent of Code works, it's running on some custom
+Perl code. Other than a few integrations (auth, analytics, social media), I
+built the whole thing myself, including the design, animations, prose, and all
+of the puzzles.
+
+The puzzles are most of the work; preparing a new calendar and a new set of
+puzzles each year takes all of my free time for 4-5 months. A lot of effort
+went into building this thing - I hope you're enjoying playing it as much as I
+enjoyed making it for you!
+
+If you'd like to hang out, I'm @ericwastl on Twitter.
+
+- Eric Wastl
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+-->
+<body>
+<header><div><h1 class="title-global"><a href="/">Advent of Code</a></h1><nav><ul><li><a href="/2022/about">[About]</a></li><li><a href="/2022/events">[Events]</a></li><li><a href="https://teespring.com/stores/advent-of-code" target="_blank">[Shop]</a></li><li><a href="/2022/settings">[Settings]</a></li><li><a href="/2022/auth/logout">[Log Out]</a></li></ul></nav><div class="user">Neil Smith <a href="/2022/support" class="supporter-badge" title="Advent of Code Supporter">(AoC++)</a> <span class="star-count">50*</span></div></div><div><h1 class="title-event">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<span class="title-event-wrap"></span><a href="/2022">2022</a><span class="title-event-wrap"></span></h1><nav><ul><li><a href="/2022">[Calendar]</a></li><li><a href="/2022/support">[AoC++]</a></li><li><a href="/2022/sponsors">[Sponsors]</a></li><li><a href="/2022/leaderboard">[Leaderboard]</a></li><li><a href="/2022/stats">[Stats]</a></li></ul></nav></div></header>
+
+<div id="sidebar">
+<div id="sponsor"><div class="quiet">Our <a href="/2022/sponsors">sponsors</a> help make Advent of Code possible:</div><div class="sponsor"><a href="https://it-jobs.de/?sta_cmp=advent2022" target="_blank" onclick="if(ga)ga('send','event','sponsor','sidebar',this.href);" rel="noopener">it-jobs.de</a> - designed with love for IT ..&quot;&quot;&quot;.....&quot;&quot;&quot; .&quot;....&quot;.&quot;....&quot; .&quot;.....&quot;.....&quot; ..&quot;.........&quot; ...&quot;.......&quot; .....&quot;...&quot; .......&quot;</div></div>
+</div><!--/sidebar-->
+
+<main>
+<style>article *[title]{border-bottom:1px dotted #ffff66;}</style><article class="day-desc"><h2>--- Day 25: Full of Hot Air ---</h2><p>As the expedition finally reaches the extraction point, several large <a href="https://en.wikipedia.org/wiki/Hot_air_balloon" target="_blank">hot air balloons</a> drift down to meet you. Crews quickly start unloading the equipment the balloons brought: many hot air balloon kits, some fuel tanks, and a <em>fuel heating machine</em>.</p>
+<p>The fuel heating machine is a new addition to the process. When this mountain was a volcano, the ambient temperature was more reasonable; now, it's so cold that the fuel won't work at all without being warmed up first.</p>
+<p>The Elves, seemingly in an attempt to make the new machine feel welcome, have already attached a pair of <a href="https://en.wikipedia.org/wiki/Googly_eyes" target="_blank">googly eyes</a> and started calling it "Bob".</p>
+<p>To heat the fuel, Bob needs to know the total amount of fuel that will be processed ahead of time so it can correctly calibrate heat output and flow rate. This amount is simply the <em>sum</em> of the fuel requirements of all of the hot air balloons, and those fuel requirements are even listed clearly on the side of each hot air balloon's burner.</p>
+<p>You assume the Elves will have no trouble adding up some numbers and are about to go back to figuring out which balloon is yours when you get a tap on the shoulder. Apparently, the fuel requirements use numbers written in a format the Elves don't recognize; predictably, they'd like your help deciphering them.</p>
+<p>You make a list of all of the fuel requirements (your puzzle input), but you don't recognize the number format either. For example:</p>
+<pre><code>1=-0-2
+12111
+2=0=
+21
+2=01
+111
+20012
+112
+1=-1=
+1-12
+12
+1=
+122
+</code></pre>
+<p>Fortunately, Bob is labeled with a support phone number. Not to be deterred, you call and ask for help.</p>
+<p>"That's right, just supply the fuel amount to the-- oh, for more than one burner? No problem, you just need to add together our Special Numeral-Analogue Fuel Units. Patent pending! They're way better than normal numbers for--"</p>
+<p>You mention that it's quite cold up here and ask if they can skip ahead.</p>
+<p>"Okay, our Special Numeral-Analogue Fuel Units - SNAFU for short - are sort of like normal numbers. You know how starting on the right, normal numbers have a ones place, a tens place, a hundreds place, and so on, where the digit in each place tells you how many of that value you have?"</p>
+<p>"SNAFU works the same way, except it uses powers of five instead of ten. Starting from the right, you have a ones place, a fives place, a twenty-fives place, a one-hundred-and-twenty-fives place, and so on. It's that easy!"</p>
+<p>You ask why some of the digits look like <code>-</code> or <code>=</code> instead of "digits".</p>
+<p>"You know, I never did ask the engineers why they did that. Instead of using digits four through zero, the digits are <code><em>2</em></code>, <code><em>1</em></code>, <code><em>0</em></code>, <em>minus</em> (written <code>-</code>), and <em>double-minus</em> (written <code>=</code>). Minus is worth -1, and double-minus is worth -2."</p>
+<p>"So, because ten (in normal numbers) is two fives and no ones, in SNAFU it is written <code>20</code>. Since eight (in normal numbers) is two fives minus two ones, it is written <code>2=</code>."</p>
+<p>"You can do it the other direction, too. Say you have the SNAFU number <code>2=-01</code>. That's <code>2</code> in the 625s place, <code>=</code> (double-minus) in the 125s place, <code>-</code> (minus) in the 25s place, <code>0</code> in the 5s place, and <code>1</code> in the 1s place. (2 times 625) plus (-2 times 125) plus (-1 times 25) plus (0 times 5) plus (1 times 1). That's 1250 plus -250 plus -25 plus 0 plus 1. <em>976</em>!"</p>
+<p>"I see here that you're connected via our premium uplink service, so I'll transmit our handy SNAFU brochure to you now. Did you need anything else?"</p>
+<p>You ask if the fuel will even work in these temperatures.</p>
+<p>"Wait, it's <em>how</em> cold? There's no <em>way</em> the fuel - or <em>any</em> fuel - would work in those conditions! There are only a few places in the-- where did you say you are again?"</p>
+<p>Just then, you notice one of the Elves pour a few drops from a snowflake-shaped container into one of the fuel tanks, thank the support representative for their time, and disconnect the call.</p>
+<p>The SNAFU brochure contains a few more examples of decimal ("normal") numbers and their SNAFU counterparts:</p>
+<pre><code>  Decimal          SNAFU
+        1              1
+        2              2
+        3             1=
+        4             1-
+        5             10
+        6             11
+        7             12
+        8             2=
+        9             2-
+       10             20
+       15            1=0
+       20            1-0
+     2022         1=11-2
+    12345        1-0---0
+314159265  1121-1110-1=0
+</code></pre>
+<p>Based on this process, the SNAFU numbers in the example above can be converted to decimal numbers as follows:</p>
+<pre><code> SNAFU  Decimal
+1=-0-2     1747
+ 12111      906
+  2=0=      198
+    21       11
+  2=01      201
+   111       31
+ 20012     1257
+   112       32
+ 1=-1=      353
+  1-12      107
+    12        7
+    1=        3
+   122       37
+</code></pre>
+<p>In decimal, the sum of these numbers is <code>4890</code>.</p>
+<p>As you go to input this number on Bob's console, you discover that some buttons you expected are missing. Instead, you are met with buttons labeled <code>=</code>, <code>-</code>, <code>0</code>, <code>1</code>, and <code>2</code>. Bob needs the input value expressed as a SNAFU number, not in decimal.</p>
+<p>Reversing the process, you can determine that for the decimal number <code>4890</code>, the SNAFU number you need to supply to Bob's console is <code><em>2=-1=0</em></code>.</p>
+<p>The Elves are starting to get cold. <em>What SNAFU number do you supply to Bob's console?</em></p>
+</article>
+<p>Your puzzle answer was <code>20==1==12=0111=2--20</code>.</p><article class="day-desc"><h2 id="part2">--- Part Two ---</h2><p>The <span title="You notice an engraving on the equipment: Balanced Quinary Industries.">hot air balloons</span> quickly carry you to the North Pole. As soon as you land, most of the expedition is escorted directly to a small building attached to the reindeer stables.</p>
+<p>The <em>head smoothie chef</em> has just finished warming up the industrial-grade smoothie blender as you arrive. It will take <em class="star">50 stars</em> to fill the blender. The expedition Elves turn their attention to you, and you begin emptying the fruit from your pack onto the table.</p>
+<p>As you do, a very young Elf - one you recognize from the expedition team - approaches the table and holds up a single <em class="star">star</em> fruit he found. The head smoothie chef places it in the blender.</p>
+<p>Only <em class="star">49 stars</em> to go.</p>
+</article>
+<form method="post" action="25/answer"><input type="hidden" name="level" value="2"/><input type="hidden" name="answer" value="0"/><p>If you like, you can <input type="submit" value="[Start The Blender Again]"/>.</p></form>
+<p class="day-success">Both parts of this puzzle are complete! They provide two gold stars: **</p>
+<p>At this point, all that is left is for you to <a href="/2022">admire your Advent calendar</a>.</p>
+<p>If you still want to see it, you can <a href="25/input" target="_blank">get your puzzle input</a>.</p>
+<p>You can also <span class="share">[Share<span class="share-content">on
+  <a href="https://twitter.com/intent/tweet?text=I%27ve+completed+%22Full+of+Hot+Air%22+%2D+Day+25+%2D+Advent+of+Code+2022&amp;url=https%3A%2F%2Fadventofcode%2Ecom%2F2022%2Fday%2F25&amp;related=ericwastl&amp;hashtags=AdventOfCode" target="_blank">Twitter</a>
+  <a href="javascript:void(0);" onclick="var mastodon_instance=prompt('Mastodon Instance / Server Name?'); if(typeof mastodon_instance==='string' && mastodon_instance.length){this.href='https://'+mastodon_instance+'/share?text=I%27ve+completed+%22Full+of+Hot+Air%22+%2D+Day+25+%2D+Advent+of+Code+2022+%23AdventOfCode+https%3A%2F%2Fadventofcode%2Ecom%2F2022%2Fday%2F25'}else{return false;}" target="_blank">Mastodon</a
+></span>]</span> this puzzle.</p>
+</main>
+
+<!-- ga -->
+<script>
+(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
+(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
+m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
+})(window,document,'script','//www.google-analytics.com/analytics.js','ga');
+ga('create', 'UA-69522494-1', 'auto');
+ga('set', 'anonymizeIp', true);
+ga('send', 'pageview');
+</script>
+<!-- /ga -->
+</body>
+</html>
\ No newline at end of file
-- 
2.34.1


From 2b91cfef52c969a7d534ca79b8d01e89e19c7e6f Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Sun, 25 Dec 2022 16:49:44 +0000
Subject: [PATCH 03/16] Point-free

---
 advent25/Main.hs | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/advent25/Main.hs b/advent25/Main.hs
index 39ba5c1..f6a284f 100644
--- a/advent25/Main.hs
+++ b/advent25/Main.hs
@@ -25,7 +25,7 @@ snafuValue '=' = -2
 snafuValue _ = error "Illegal digit in read"
 
 showSnafu :: Int -> String
-showSnafu n = reverse $ packSnafu 0 $ toBase5R n
+showSnafu = reverse . (packSnafu 0) . toBase5R
 
 toBase5R :: Int -> [Int]
 toBase5R 0 = []
-- 
2.34.1


From 248db8976bf09c43d7934468418a916d2fc06d29 Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Sun, 25 Dec 2022 20:10:27 +0000
Subject: [PATCH 04/16] Rebuilt as a fold

---
 advent25/Main.hs | 16 +++++++++-------
 1 file changed, 9 insertions(+), 7 deletions(-)

diff --git a/advent25/Main.hs b/advent25/Main.hs
index f6a284f..cc0a464 100644
--- a/advent25/Main.hs
+++ b/advent25/Main.hs
@@ -25,21 +25,23 @@ snafuValue '=' = -2
 snafuValue _ = error "Illegal digit in read"
 
 showSnafu :: Int -> String
-showSnafu = reverse . (packSnafu 0) . toBase5R
+showSnafu = packSnafu . toBase5R
 
 toBase5R :: Int -> [Int]
 toBase5R 0 = []
 toBase5R n = (r : (toBase5R k))
   where (k, r) = n `divMod` 5
 
-packSnafu :: Int -> [Int] -> String
-packSnafu 0 [] = ""
-packSnafu carry [] = [snafuRep carry]
-packSnafu carry (d:ds)
-  | d' <= 2 = ((snafuRep d') : (packSnafu 0 ds))
-  | otherwise = ((snafuRep (d' - 5)) : (packSnafu 1 ds))
+packSnafu :: [Int] -> String
+packSnafu = snd . foldl' packSnafuDigit (0, "")
+
+packSnafuDigit :: (Int, String) -> Int -> (Int, String)
+packSnafuDigit (carry, acc) d 
+  | d' <= 2 = (0, (snafuRep d') : acc)
+  | otherwise = (1, (snafuRep (d' - 5) : acc))
   where d' = d + carry
 
+
 snafuRep :: Int -> Char
 snafuRep 2 = '2'
 snafuRep 1 = '1'
-- 
2.34.1


From d26baeb75e7bb105eb23c7434832203dc2ce6cfa Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Mon, 26 Dec 2022 09:05:42 +0000
Subject: [PATCH 05/16] Bugfix

---
 advent25/Main.hs | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/advent25/Main.hs b/advent25/Main.hs
index cc0a464..4e6cf87 100644
--- a/advent25/Main.hs
+++ b/advent25/Main.hs
@@ -33,7 +33,10 @@ toBase5R n = (r : (toBase5R k))
   where (k, r) = n `divMod` 5
 
 packSnafu :: [Int] -> String
-packSnafu = snd . foldl' packSnafuDigit (0, "")
+packSnafu digits
+  | carry == 0 = shown
+  | otherwise = (snafuRep carry) : shown
+  where (carry, shown) = foldl' packSnafuDigit (0, "") digits
 
 packSnafuDigit :: (Int, String) -> Int -> (Int, String)
 packSnafuDigit (carry, acc) d 
@@ -41,7 +44,6 @@ packSnafuDigit (carry, acc) d
   | otherwise = (1, (snafuRep (d' - 5) : acc))
   where d' = d + carry
 
-
 snafuRep :: Int -> Char
 snafuRep 2 = '2'
 snafuRep 1 = '1'
-- 
2.34.1


From 402a27d38485107852e8128f20a443cc7a684c6d Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Mon, 26 Dec 2022 10:04:13 +0000
Subject: [PATCH 06/16] Tidying up

---
 advent-of-code22.cabal |  3 +--
 advent02/Main.hs       | 16 ++++++++++++----
 advent07/Main.hs       |  1 -
 advent14/Main.hs       |  1 -
 advent15/Main.hs       |  6 ++----
 advent25/Main.hs       |  3 +--
 6 files changed, 16 insertions(+), 14 deletions(-)

diff --git a/advent-of-code22.cabal b/advent-of-code22.cabal
index 3504e46..496c42c 100644
--- a/advent-of-code22.cabal
+++ b/advent-of-code22.cabal
@@ -135,7 +135,7 @@ executable advent06
 executable advent07
   import: common-extensions, build-directives
   main-is: advent07/Main.hs
-  build-depends: text, attoparsec, containers, path-tree, rosezipper
+  build-depends: text, attoparsec, containers, rosezipper
 
 executable advent08
   import: common-extensions, build-directives
@@ -233,4 +233,3 @@ executable advent24
 executable advent25
   import: common-extensions, build-directives
   main-is: advent25/Main.hs
---   build-depends: split
diff --git a/advent02/Main.hs b/advent02/Main.hs
index 2315317..074157a 100644
--- a/advent02/Main.hs
+++ b/advent02/Main.hs
@@ -1,7 +1,7 @@
 -- Writeup at https://work.njae.me.uk/2022/12/02/advent-of-code-2022-day-2/
 
 import AoC
-import Data.Text ()
+import Data.Text (Text)
 import qualified Data.Text.IO as TIO
 import Data.Attoparsec.Text hiding (Result)
 import Control.Applicative
@@ -52,6 +52,13 @@ roundFromResult (ShapeResult shape result) = Round shape p2s
 
 -- Parse the input file
 
+match1P :: Parser [Round]
+match2P :: Parser [ShapeResult]
+roundP :: Parser Round
+shapeResultP :: Parser ShapeResult
+p1ShapeP, p2ShapeP, aP, bP, cP, xP, yP, zP :: Parser Shape
+resultP, xrP, yrP, zrP :: Parser Result
+
 match1P = roundP `sepBy` endOfLine
 roundP = Round <$> p1ShapeP <*> (" " *> p2ShapeP)
 
@@ -73,13 +80,14 @@ xrP = Loss <$ "X"
 yrP = Draw <$ "Y"
 zrP = Win <$ "Z"
 
--- successfulParse :: Text -> (Integer, [Maybe Integer])
+successfulParse1 :: Text -> [Round]
 successfulParse1 input = 
   case parseOnly match1P input of
     Left  _err -> [] -- TIO.putStr $ T.pack $ parseErrorPretty err
-    Right match -> match
+    Right matches -> matches
 
+successfulParse2 :: Text -> [ShapeResult]
 successfulParse2 input = 
   case parseOnly match2P input of
     Left  _err -> [] -- TIO.putStr $ T.pack $ parseErrorPretty err
-    Right match -> match
+    Right matches -> matches
diff --git a/advent07/Main.hs b/advent07/Main.hs
index dcc076c..077b35b 100644
--- a/advent07/Main.hs
+++ b/advent07/Main.hs
@@ -10,7 +10,6 @@ import Data.Maybe
 import Data.Tree
 import Data.Tree.Zipper hiding (tree)
 import qualified Data.Map.Strict as M
--- import Data.Map.Strict ((!), (!?))
 import Data.List (foldl', sort)
 
 data ParsedObject = CD String 
diff --git a/advent14/Main.hs b/advent14/Main.hs
index 0ded02b..924b413 100644
--- a/advent14/Main.hs
+++ b/advent14/Main.hs
@@ -4,7 +4,6 @@ import AoC
 import Data.Text (Text)
 import qualified Data.Text.IO as TIO
 import Data.Attoparsec.Text hiding (take, D)
-import Control.Applicative
 import Data.List
 import Data.Ix
 import Data.Maybe
diff --git a/advent15/Main.hs b/advent15/Main.hs
index 9ed5d86..96f3213 100644
--- a/advent15/Main.hs
+++ b/advent15/Main.hs
@@ -4,12 +4,9 @@ import AoC
 import Data.Text (Text)
 import qualified Data.Text.IO as TIO
 import Data.Attoparsec.Text hiding (take, D)
-import Control.Applicative
-import Data.List
 import Data.Ix
 import qualified Data.Set as S
 import Linear hiding (Trace, trace, distance)
-import Control.Lens
 
 type Position = V2 Int
 
@@ -22,7 +19,8 @@ instance Semigroup Region where
   r1 <> r2 = Region (\p -> getRegion r1 p || getRegion r2 p)
 
 instance Monoid Region where
-  mempty = Region (\p -> False)
+  -- mempty = Region (\p -> False)
+  mempty = Region (const False)
 
 main :: IO ()
 main = 
diff --git a/advent25/Main.hs b/advent25/Main.hs
index 4e6cf87..28c33f7 100644
--- a/advent25/Main.hs
+++ b/advent25/Main.hs
@@ -10,7 +10,6 @@ main =
       numStrs <- readFile dataFileName
       let fuels = fmap readSnafu $ lines numStrs
       putStrLn $ showSnafu $ sum fuels
-      -- print $ part1 fuels
 
 readSnafu :: String -> Int
 readSnafu cs = foldl' go 0 cs
@@ -36,7 +35,7 @@ packSnafu :: [Int] -> String
 packSnafu digits
   | carry == 0 = shown
   | otherwise = (snafuRep carry) : shown
-  where (carry, shown) = foldl' packSnafuDigit (0, "") digits
+  where (carry, shown) = foldl' packSnafuDigit (0, "")
 
 packSnafuDigit :: (Int, String) -> Int -> (Int, String)
 packSnafuDigit (carry, acc) d 
-- 
2.34.1


From 3ad0f674265f18dc390d3d6078348cea5f36f98c Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Tue, 27 Dec 2022 08:34:39 +0000
Subject: [PATCH 07/16] Tidying

---
 advent17/Main.hs | 1 -
 advent19/Main.hs | 4 ++--
 advent20/Main.hs | 4 ++--
 advent21/Main.hs | 2 +-
 advent22/Main.hs | 8 ++++++--
 advent25/Main.hs | 2 +-
 6 files changed, 12 insertions(+), 9 deletions(-)

diff --git a/advent17/Main.hs b/advent17/Main.hs
index 57794a9..ce3ad42 100644
--- a/advent17/Main.hs
+++ b/advent17/Main.hs
@@ -4,7 +4,6 @@
 
 import AoC
 import qualified Data.Set as S
-import qualified Data.Map.Strict as M
 import Linear hiding (Trace, trace, distance)
 import Control.Lens
 import Data.Maybe
diff --git a/advent19/Main.hs b/advent19/Main.hs
index b5cd5c4..7fe0315 100644
--- a/advent19/Main.hs
+++ b/advent19/Main.hs
@@ -1,6 +1,6 @@
 -- Writeup at https://work.njae.me.uk/2022/12/21/advent-of-code-2022-day-19/
 
-import Debug.Trace
+-- import Debug.Trace
 
 import AoC
 import Data.Text (Text)
@@ -16,7 +16,7 @@ import Data.MultiSet as MS
 import Data.Sequence ((|>)) 
 import Data.List
 import Data.Maybe
-import Data.Ord
+-- import Data.Ord
 import Control.Monad.Reader
 import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
 import Control.Parallel.Strategies
diff --git a/advent20/Main.hs b/advent20/Main.hs
index eb60a15..355d949 100644
--- a/advent20/Main.hs
+++ b/advent20/Main.hs
@@ -1,10 +1,10 @@
 -- Writeup at https://work.njae.me.uk/2022/12/21/advent-of-code-2022-day-20/
 
 import AoC
-import Data.List
+import Data.List hiding (elemIndex)
 import Data.Maybe
 import Data.CircularList
-import Control.Lens
+import Control.Lens hiding (element)
 
 data IndexedElem = IndexedElem { _idx :: Int, _shift :: Int, _value :: Int}
     deriving (Show, Eq, Ord)
diff --git a/advent21/Main.hs b/advent21/Main.hs
index 1811612..6d856e5 100644
--- a/advent21/Main.hs
+++ b/advent21/Main.hs
@@ -7,7 +7,7 @@ import Data.Attoparsec.Text hiding (take, D)
 import Control.Applicative
 import qualified Data.Map.Strict as M
 import Data.Map.Strict ((!))
-import Control.Lens
+import Control.Lens hiding (op)
 
 data Shout = Literal Int | Operation Operator String String
   deriving (Show, Eq, Ord)
diff --git a/advent22/Main.hs b/advent22/Main.hs
index 1a2e1c7..848be83 100644
--- a/advent22/Main.hs
+++ b/advent22/Main.hs
@@ -2,6 +2,7 @@
 
 -- import Debug.Trace
 
+
 import AoC
 import Prelude hiding (Left, Right)
 import qualified Data.Map.Strict as M
@@ -253,13 +254,16 @@ isCell r c rows = isRow && isCol && ((rows !! r) !! c) `elem` (".#" :: String)
   where isRow = r < length rows
         isCol = c < (length $ rows !! r)
 
-mkInstructions :: String -> [PathElement]
+mkInstructions, mkWalk, mkTurn :: String -> [PathElement]
 mkInstructions [] = []
-mkInstructions text@(t:ts)
+mkInstructions text@(t:_)
   | isDigit t = mkWalk text
   | otherwise = mkTurn text
+
 mkWalk text = (Forward $ read digits) : (mkInstructions remainder)
   where (digits, remainder) = span (isDigit) text
+
+mkTurn [] = []
 mkTurn (t:ts) 
   | t == 'R' = Clockwise : (mkInstructions ts)
   | t == 'L' = Anticlockwise : (mkInstructions ts)
diff --git a/advent25/Main.hs b/advent25/Main.hs
index 28c33f7..c58c47d 100644
--- a/advent25/Main.hs
+++ b/advent25/Main.hs
@@ -35,7 +35,7 @@ packSnafu :: [Int] -> String
 packSnafu digits
   | carry == 0 = shown
   | otherwise = (snafuRep carry) : shown
-  where (carry, shown) = foldl' packSnafuDigit (0, "")
+  where (carry, shown) = foldl' packSnafuDigit (0, "") digits
 
 packSnafuDigit :: (Int, String) -> Int -> (Int, String)
 packSnafuDigit (carry, acc) d 
-- 
2.34.1


From 7556dfa39ef3eec2bc5e55ff2cfaad101a6cfb5f Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Tue, 27 Dec 2022 08:35:57 +0000
Subject: [PATCH 08/16] Added "scrambled mess" fan-made bonus puzzle

---
 advent-of-code22.cabal  |  4 ++++
 data/scrambled-mess.txt |  1 +
 scrambled-mess/Main.hs  | 16 ++++++++++++++++
 3 files changed, 21 insertions(+)
 create mode 100644 data/scrambled-mess.txt
 create mode 100644 scrambled-mess/Main.hs

diff --git a/advent-of-code22.cabal b/advent-of-code22.cabal
index 496c42c..76f7671 100644
--- a/advent-of-code22.cabal
+++ b/advent-of-code22.cabal
@@ -233,3 +233,7 @@ executable advent24
 executable advent25
   import: common-extensions, build-directives
   main-is: advent25/Main.hs
+
+executable scrambled-mess
+  import: common-extensions, build-directives
+  main-is: scrambled-mess/Main.hs
\ No newline at end of file
diff --git a/data/scrambled-mess.txt b/data/scrambled-mess.txt
new file mode 100644
index 0000000..743d1f3
--- /dev/null
+++ b/data/scrambled-mess.txt
@@ -0,0 +1 @@
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diff --git a/scrambled-mess/Main.hs b/scrambled-mess/Main.hs
new file mode 100644
index 0000000..196426e
--- /dev/null
+++ b/scrambled-mess/Main.hs
@@ -0,0 +1,16 @@
+-- Addresses bonus puzzle at https://www.reddit.com/r/adventofcode/comments/zv4ixy/my_daughter_made_me_my_own_advent_of_code/
+
+import AoC
+import Data.List
+import Data.Char
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- readFile dataFileName
+      let duplicated = fmap head $ filter ((> 1) . length) $ group text
+      putStrLn $ filter isLetterIsh duplicated
+      putStrLn $ filter isDigit duplicated
+
+isLetterIsh :: Char -> Bool
+isLetterIsh c = (isLetter c) || (c == '-')
-- 
2.34.1


From 89eb500db478502b125606aa4ffbf8c2cc515ddf Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Tue, 27 Dec 2022 18:00:43 +0000
Subject: [PATCH 09/16] Added profiling

---
 advent11/Main.hs                              |    2 +-
 advent19/Main.hs                              |   17 +-
 profiling/external_time.png                   |  Bin 0 -> 7958 bytes
 profiling/external_time_and_memory.png        |  Bin 0 -> 13134 bytes
 profiling/external_time_and_memory_linear.png |  Bin 0 -> 13134 bytes
 profiling/external_time_and_memory_log.png    |  Bin 0 -> 12303 bytes
 profiling/imports.png                         |  Bin 0 -> 42274 bytes
 profiling/imports_sorted.png                  |  Bin 0 -> 42307 bytes
 profiling/internal_external_memory.png        |  Bin 0 -> 12221 bytes
 .../internal_external_memory_combined.png     |  Bin 0 -> 19376 bytes
 profiling/internal_external_memory_linear.png |  Bin 0 -> 13428 bytes
 profiling/internal_external_memory_log.png    |  Bin 0 -> 12804 bytes
 profiling/internal_external_time.png          |  Bin 0 -> 13563 bytes
 profiling/internal_external_time_linear.png   |  Bin 0 -> 11863 bytes
 profiling/internal_time_and_memory.png        |  Bin 0 -> 12691 bytes
 profiling/internal_time_and_memory_linear.png |  Bin 0 -> 12733 bytes
 profiling/internal_time_and_memory_log.png    |  Bin 0 -> 13479 bytes
 profiling/lines_of_code.png                   |  Bin 0 -> 19088 bytes
 profiling/memory_combined.png                 |  Bin 0 -> 11999 bytes
 profiling/modules.ipynb                       | 4224 +++++++++++++++++
 profiling/modules.md                          |  232 +
 profiling/modules.png                         |  Bin 0 -> 16380 bytes
 profiling/packages.png                        |  Bin 0 -> 17050 bytes
 profiling/packages_sorted.png                 |  Bin 0 -> 16981 bytes
 profiling/performance.csv                     |   26 +
 profiling/performance.md                      |   27 +
 profiling/profiling.ipynb                     | 4081 ++++++++++++++++
 profiling/profiling.md                        |  360 ++
 profiling/run_times_combined.png              |  Bin 0 -> 17536 bytes
 profiling/run_times_linear.png                |  Bin 0 -> 10494 bytes
 profiling/run_times_log.png                   |  Bin 0 -> 14648 bytes
 profiling/time-results.csv                    |   27 +
 profiling/time-results.md                     |   27 +
 profiling/times.csv                           |   25 +
 profiling/times_raw.csv                       |   25 +
 35 files changed, 9069 insertions(+), 4 deletions(-)
 create mode 100644 profiling/external_time.png
 create mode 100644 profiling/external_time_and_memory.png
 create mode 100644 profiling/external_time_and_memory_linear.png
 create mode 100644 profiling/external_time_and_memory_log.png
 create mode 100644 profiling/imports.png
 create mode 100644 profiling/imports_sorted.png
 create mode 100644 profiling/internal_external_memory.png
 create mode 100644 profiling/internal_external_memory_combined.png
 create mode 100644 profiling/internal_external_memory_linear.png
 create mode 100644 profiling/internal_external_memory_log.png
 create mode 100644 profiling/internal_external_time.png
 create mode 100644 profiling/internal_external_time_linear.png
 create mode 100644 profiling/internal_time_and_memory.png
 create mode 100644 profiling/internal_time_and_memory_linear.png
 create mode 100644 profiling/internal_time_and_memory_log.png
 create mode 100644 profiling/lines_of_code.png
 create mode 100644 profiling/memory_combined.png
 create mode 100644 profiling/modules.ipynb
 create mode 100644 profiling/modules.md
 create mode 100644 profiling/modules.png
 create mode 100644 profiling/packages.png
 create mode 100644 profiling/packages_sorted.png
 create mode 100644 profiling/performance.csv
 create mode 100644 profiling/performance.md
 create mode 100644 profiling/profiling.ipynb
 create mode 100644 profiling/profiling.md
 create mode 100644 profiling/run_times_combined.png
 create mode 100644 profiling/run_times_linear.png
 create mode 100644 profiling/run_times_log.png
 create mode 100644 profiling/time-results.csv
 create mode 100644 profiling/time-results.md
 create mode 100644 profiling/times.csv
 create mode 100644 profiling/times_raw.csv

diff --git a/advent11/Main.hs b/advent11/Main.hs
index a63be5c..3f4619b 100644
--- a/advent11/Main.hs
+++ b/advent11/Main.hs
@@ -6,7 +6,7 @@ import qualified Data.Text.IO as TIO
 import Data.Attoparsec.Text hiding (take, D)
 import Control.Applicative
 import Data.List
-import qualified Data.IntMap as M
+import qualified Data.IntMap.Strict as M
 import Data.IntMap ((!))
 import Control.Lens
 import Control.Monad.State.Strict
diff --git a/advent19/Main.hs b/advent19/Main.hs
index 7fe0315..25f608a 100644
--- a/advent19/Main.hs
+++ b/advent19/Main.hs
@@ -19,6 +19,7 @@ import Data.Maybe
 -- import Data.Ord
 import Control.Monad.Reader
 import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+import GHC.Generics (Generic)
 import Control.Parallel.Strategies
 import Control.DeepSeq
 
@@ -27,7 +28,9 @@ import Control.DeepSeq
 -- pattern xs :> x <- (Q.viewr -> xs Q.:> x) where (:>)  = (Q.|>) 
 
 data Resource = Ore | Clay | Obsidian | Geode
-    deriving (Show, Eq, Ord)
+    deriving (Show, Eq, Ord, Generic)
+
+instance NFData Resource 
 
 type Collection = MS.MultiSet Resource
 
@@ -45,7 +48,7 @@ data SingleSearchState = SingleSearchState
 makeLenses ''SingleSearchState
 
 instance NFData SingleSearchState where
-  rnf a = a `seq` ()
+  rnf (SingleSearchState a b) = rnf a `seq` rnf b `seq` ()
 
 data Agendum s = 
     Agendum { _current :: s
@@ -109,7 +112,15 @@ part1 blueprints = sum [n * (MS.occur Geode (r ^. resources)) | (n, r) <- result
     where results = [ (n, _current $ fromJust $ runReader searchSpace (TimedBlueprint blueprint 24 (robotLimits blueprint)) )
                     | (n, blueprint) <- blueprints ] :: [(Int, SingleSearchState)]
           robotLimits bp = M.foldl' MS.maxUnion MS.empty bp
-
+-- part1 blueprints = sum [n * (MS.occur Geode (r ^. resources)) | (n, r) <- pResults]
+--     where -- results = [ (n, _current $ fromJust $ runReader searchSpace (TimedBlueprint blueprint 24 (robotLimits blueprint)) )
+--                     -- | (n, blueprint) <- blueprints ] :: [(Int, SingleSearchState)]
+--           -- pResults = parMap rdeepseq id results
+--           -- pResults = (fmap runABlueprint blueprints) `using` parList rdeepseq
+--           pResults = (fmap runABlueprint blueprints) `using` (parList rdeepseq)
+--           runABlueprint (n, blueprint) = (n, _current $ fromJust $ 
+--                                                 runReader searchSpace (TimedBlueprint blueprint 24 (robotLimits blueprint)) )
+--           robotLimits bp = M.foldl' MS.maxUnion MS.empty bp
 
 part2 :: [(Int, Blueprint)] -> Int
 part2 blueprints = product [MS.occur Geode (r ^. resources) | r <- pResults]
diff --git a/profiling/external_time.png b/profiling/external_time.png
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diff --git a/profiling/modules.ipynb b/profiling/modules.ipynb
new file mode 100644
index 0000000..795625c
--- /dev/null
+++ b/profiling/modules.ipynb
@@ -0,0 +1,4224 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "09b5b05d-ae4f-4ec4-bebf-5824274e4631",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os, glob\n",
+    "import collections\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "7bd3fc71-cd3b-4218-8912-c35bdc2584bf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['  build-depends:       base >=4.16\\n',\n",
+       " '    build-depends:    base ^>=4.16.4.0\\n',\n",
+       " '  build-depends:  base >=4.16\\n',\n",
+       " '  build-depends: split\\n',\n",
+       " '  build-depends: text, attoparsec\\n',\n",
+       " '  build-depends: containers, split\\n',\n",
+       " '  build-depends: text, attoparsec\\n',\n",
+       " '  build-depends: text, attoparsec, intervals\\n',\n",
+       " '  build-depends: text, attoparsec, containers\\n',\n",
+       " '  build-depends: text, attoparsec, containers, rosezipper\\n',\n",
+       " '  build-depends: text, attoparsec, containers, linear, lens\\n',\n",
+       " '  build-depends: text, attoparsec, split\\n',\n",
+       " '  build-depends: text, attoparsec, containers, lens, mtl\\n',\n",
+       " '  build-depends: containers, linear, array, pqueue, mtl, lens\\n',\n",
+       " '  build-depends: text, attoparsec\\n',\n",
+       " '  build-depends: text, attoparsec, containers, linear, lens\\n',\n",
+       " '  build-depends: text, attoparsec, containers, linear, lens\\n',\n",
+       " '  build-depends: text, attoparsec, containers, pqueue, mtl, lens, split\\n',\n",
+       " '  build-depends: containers, linear, lens\\n',\n",
+       " '  build-depends: text, attoparsec, containers, linear, lens\\n',\n",
+       " '  build-depends: text, attoparsec, containers, pqueue, mtl, lens, multiset, parallel, deepseq\\n',\n",
+       " '  build-depends: data-clist , lens\\n',\n",
+       " '  build-depends: text, attoparsec, containers, lens\\n',\n",
+       " '  build-depends: containers, linear, lens, mtl\\n',\n",
+       " '  build-depends: containers, linear, lens, mtl, multiset\\n',\n",
+       " '  build-depends: containers, linear, lens, mtl, multiset\\n',\n",
+       " '  build-depends: containers, pqueue, mtl, lens, linear, array\\n']"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "with open('../advent-of-code22.cabal') as f:\n",
+    "    build_depends = [l for l in f.readlines() if 'build-depends' in l]\n",
+    "build_depends"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "d0e0655a-2fad-47c9-afe1-8ae4c44949ab",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[', other than Main.\\n    -- other-modules:\\n\\n    -- LANGUAGE extensions used by modules in this package.\\n    -- other-extensions:\\n    build-depends:    base ^>=4.16.4.0\\n    hs-source-dirs:   app, src\\n    default-language: Haskell2010\\n\\nlibrary\\n  import: common-extensions\\n  build-depends:  base >=4.16\\n  hs-source-dirs: ., app, src\\n  exposed-modules: AoC\\n\\n',\n",
+       " ' advent01\\n  import: common-extensions, build-directives\\n  main-is: advent01/Main.hs\\n  build-depends: split\\n\\n',\n",
+       " ' advent02\\n  import: common-extensions, build-directives\\n  main-is: advent02/Main.hs\\n  build-depends: text, attoparsec\\n\\n']"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "cabal_file = open('../advent-of-code22.cabal').read()\n",
+    "executables = cabal_file.split('executable')[2:]\n",
+    "executables[:3]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "62a719db-b264-4b95-8dd0-80ab08b3622a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['split']"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "e = executables[1]\n",
+    "e.strip().split('build-depends: ')[1].split(',')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "5f5e51ea-4457-4701-99d2-844edcec721e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def extract(line):\n",
+    "    parts = line.strip().split('build-depends: ')\n",
+    "    name = parts[0].split()[0]\n",
+    "    if len(parts) > 1:\n",
+    "        depends = [p.strip() for p in parts[1].split('\\n')[0].split(',') if 'base' not in p]\n",
+    "    else:\n",
+    "        depends = []\n",
+    "    return name, depends       "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "a852a10b-ee9a-46d5-a390-04f218424760",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'advent01': ['split'],\n",
+       " 'advent02': ['text', 'attoparsec'],\n",
+       " 'advent03': ['containers', 'split'],\n",
+       " 'advent04': ['text', 'attoparsec'],\n",
+       " 'advent05': ['text', 'attoparsec', 'containers'],\n",
+       " 'advent06': [],\n",
+       " 'advent07': ['text', 'attoparsec', 'containers', 'rosezipper'],\n",
+       " 'advent08': [],\n",
+       " 'advent09': ['text', 'attoparsec', 'containers', 'linear', 'lens'],\n",
+       " 'advent10': ['text', 'attoparsec', 'split'],\n",
+       " 'advent11': ['text', 'attoparsec', 'containers', 'lens', 'mtl'],\n",
+       " 'advent12': ['containers', 'linear', 'array', 'pqueue', 'mtl', 'lens'],\n",
+       " 'advent13': ['text', 'attoparsec'],\n",
+       " 'advent14': ['text', 'attoparsec', 'containers', 'linear', 'lens'],\n",
+       " 'advent15': ['text', 'attoparsec', 'containers', 'linear', 'lens'],\n",
+       " 'advent16': ['text',\n",
+       "  'attoparsec',\n",
+       "  'containers',\n",
+       "  'pqueue',\n",
+       "  'mtl',\n",
+       "  'lens',\n",
+       "  'split'],\n",
+       " 'advent17': ['containers', 'linear', 'lens'],\n",
+       " 'advent18': ['text', 'attoparsec', 'containers', 'linear', 'lens'],\n",
+       " 'advent19': ['text',\n",
+       "  'attoparsec',\n",
+       "  'containers',\n",
+       "  'pqueue',\n",
+       "  'mtl',\n",
+       "  'lens',\n",
+       "  'multiset',\n",
+       "  'parallel',\n",
+       "  'deepseq'],\n",
+       " 'advent20': ['data-clist', 'lens'],\n",
+       " 'advent21': ['text', 'attoparsec', 'containers', 'lens'],\n",
+       " 'advent22': ['containers', 'linear', 'lens', 'mtl'],\n",
+       " 'advent23': ['containers', 'linear', 'lens', 'mtl', 'multiset'],\n",
+       " 'advent24': ['containers', 'pqueue', 'mtl', 'lens', 'linear', 'array'],\n",
+       " 'advent25': []}"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "modules = {e: ms for e, ms in [extract(e) for e in executables] if e.endswith(tuple(str(i) for i in range(10)))}\n",
+    "modules"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "57036fc2-db73-4c5b-b3bc-b7e8f9bbccda",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>array</th>\n",
+       "      <th>attoparsec</th>\n",
+       "      <th>containers</th>\n",
+       "      <th>data-clist</th>\n",
+       "      <th>deepseq</th>\n",
+       "      <th>lens</th>\n",
+       "      <th>linear</th>\n",
+       "      <th>mtl</th>\n",
+       "      <th>multiset</th>\n",
+       "      <th>parallel</th>\n",
+       "      <th>pqueue</th>\n",
+       "      <th>rosezipper</th>\n",
+       "      <th>split</th>\n",
+       "      <th>text</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>advent01</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent02</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent03</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent04</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent05</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent06</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent07</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent08</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent09</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent10</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent11</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent12</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent13</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent14</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent15</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent16</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent17</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent18</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent19</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent20</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent21</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent22</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent23</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent24</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent25</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          array  attoparsec  containers  data-clist  deepseq   lens  linear  \\\n",
+       "advent01  False       False       False       False    False  False   False   \n",
+       "advent02  False        True       False       False    False  False   False   \n",
+       "advent03  False       False        True       False    False  False   False   \n",
+       "advent04  False        True       False       False    False  False   False   \n",
+       "advent05  False        True        True       False    False  False   False   \n",
+       "advent06  False       False       False       False    False  False   False   \n",
+       "advent07  False        True        True       False    False  False   False   \n",
+       "advent08  False       False       False       False    False  False   False   \n",
+       "advent09  False        True        True       False    False   True    True   \n",
+       "advent10  False        True       False       False    False  False   False   \n",
+       "advent11  False        True        True       False    False   True   False   \n",
+       "advent12   True       False        True       False    False   True    True   \n",
+       "advent13  False        True       False       False    False  False   False   \n",
+       "advent14  False        True        True       False    False   True    True   \n",
+       "advent15  False        True        True       False    False   True    True   \n",
+       "advent16  False        True        True       False    False   True   False   \n",
+       "advent17  False       False        True       False    False   True    True   \n",
+       "advent18  False        True        True       False    False   True    True   \n",
+       "advent19  False        True        True       False     True   True   False   \n",
+       "advent20  False       False       False        True    False   True   False   \n",
+       "advent21  False        True        True       False    False   True   False   \n",
+       "advent22  False       False        True       False    False   True    True   \n",
+       "advent23  False       False        True       False    False   True    True   \n",
+       "advent24   True       False        True       False    False   True    True   \n",
+       "advent25  False       False       False       False    False  False   False   \n",
+       "\n",
+       "            mtl  multiset  parallel  pqueue  rosezipper  split   text  \n",
+       "advent01  False     False     False   False       False   True  False  \n",
+       "advent02  False     False     False   False       False  False   True  \n",
+       "advent03  False     False     False   False       False   True  False  \n",
+       "advent04  False     False     False   False       False  False   True  \n",
+       "advent05  False     False     False   False       False  False   True  \n",
+       "advent06  False     False     False   False       False  False  False  \n",
+       "advent07  False     False     False   False        True  False   True  \n",
+       "advent08  False     False     False   False       False  False  False  \n",
+       "advent09  False     False     False   False       False  False   True  \n",
+       "advent10  False     False     False   False       False   True   True  \n",
+       "advent11   True     False     False   False       False  False   True  \n",
+       "advent12   True     False     False    True       False  False  False  \n",
+       "advent13  False     False     False   False       False  False   True  \n",
+       "advent14  False     False     False   False       False  False   True  \n",
+       "advent15  False     False     False   False       False  False   True  \n",
+       "advent16   True     False     False    True       False   True   True  \n",
+       "advent17  False     False     False   False       False  False  False  \n",
+       "advent18  False     False     False   False       False  False   True  \n",
+       "advent19   True      True      True    True       False  False   True  \n",
+       "advent20  False     False     False   False       False  False  False  \n",
+       "advent21  False     False     False   False       False  False   True  \n",
+       "advent22   True     False     False   False       False  False  False  \n",
+       "advent23   True      True     False   False       False  False  False  \n",
+       "advent24   True     False     False    True       False  False  False  \n",
+       "advent25  False     False     False   False       False  False  False  "
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_modules = set(m for p in modules for m in modules[p])\n",
+    "modules_df = pd.DataFrame.from_dict({p: {m: m in modules[p] for m in sorted(all_modules)} for p in modules}, orient='index').sort_index()\n",
+    "modules_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "2eec3a74-e533-4d59-b495-9e774ca470e5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "|            |   0 |\n",
+      "|:-----------|----:|\n",
+      "| containers |  16 |\n",
+      "| attoparsec |  14 |\n",
+      "| lens       |  14 |\n",
+      "| text       |  14 |\n",
+      "| linear     |   9 |\n",
+      "| mtl        |   7 |\n",
+      "| pqueue     |   4 |\n",
+      "| split      |   4 |\n",
+      "| array      |   2 |\n",
+      "| multiset   |   2 |\n",
+      "| data-clist |   1 |\n",
+      "| deepseq    |   1 |\n",
+      "| parallel   |   1 |\n",
+      "| rosezipper |   1 |\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(modules_df.sum().sort_values(ascending=False).to_markdown())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "d5c8f2ac-1575-49c4-b2c1-458419b9afd8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['containers', 'attoparsec', 'lens', 'text', 'linear', 'mtl',\n",
+       "       'pqueue', 'split', 'array', 'multiset', 'data-clist', 'deepseq',\n",
+       "       'parallel', 'rosezipper'], dtype=object)"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sorted_modules = modules_df.sum().sort_values(ascending=False).index.values\n",
+    "sorted_modules"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "1802f0e4-c0b4-4c07-9b9b-a90d01e656d2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>containers</th>\n",
+       "      <th>attoparsec</th>\n",
+       "      <th>lens</th>\n",
+       "      <th>text</th>\n",
+       "      <th>linear</th>\n",
+       "      <th>mtl</th>\n",
+       "      <th>pqueue</th>\n",
+       "      <th>split</th>\n",
+       "      <th>array</th>\n",
+       "      <th>multiset</th>\n",
+       "      <th>data-clist</th>\n",
+       "      <th>deepseq</th>\n",
+       "      <th>parallel</th>\n",
+       "      <th>rosezipper</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>advent01</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent02</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent03</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent04</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent05</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent06</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent07</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent08</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent09</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent10</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent11</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent12</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent13</th>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent14</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent15</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent16</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent17</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent18</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent19</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent20</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent21</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent22</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent23</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent24</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent25</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          containers  attoparsec   lens   text  linear    mtl  pqueue  split  \\\n",
+       "advent01       False       False  False  False   False  False   False   True   \n",
+       "advent02       False        True  False   True   False  False   False  False   \n",
+       "advent03        True       False  False  False   False  False   False   True   \n",
+       "advent04       False        True  False   True   False  False   False  False   \n",
+       "advent05        True        True  False   True   False  False   False  False   \n",
+       "advent06       False       False  False  False   False  False   False  False   \n",
+       "advent07        True        True  False   True   False  False   False  False   \n",
+       "advent08       False       False  False  False   False  False   False  False   \n",
+       "advent09        True        True   True   True    True  False   False  False   \n",
+       "advent10       False        True  False   True   False  False   False   True   \n",
+       "advent11        True        True   True   True   False   True   False  False   \n",
+       "advent12        True       False   True  False    True   True    True  False   \n",
+       "advent13       False        True  False   True   False  False   False  False   \n",
+       "advent14        True        True   True   True    True  False   False  False   \n",
+       "advent15        True        True   True   True    True  False   False  False   \n",
+       "advent16        True        True   True   True   False   True    True   True   \n",
+       "advent17        True       False   True  False    True  False   False  False   \n",
+       "advent18        True        True   True   True    True  False   False  False   \n",
+       "advent19        True        True   True   True   False   True    True  False   \n",
+       "advent20       False       False   True  False   False  False   False  False   \n",
+       "advent21        True        True   True   True   False  False   False  False   \n",
+       "advent22        True       False   True  False    True   True   False  False   \n",
+       "advent23        True       False   True  False    True   True   False  False   \n",
+       "advent24        True       False   True  False    True   True    True  False   \n",
+       "advent25       False       False  False  False   False  False   False  False   \n",
+       "\n",
+       "          array  multiset  data-clist  deepseq  parallel  rosezipper  \n",
+       "advent01  False     False       False    False     False       False  \n",
+       "advent02  False     False       False    False     False       False  \n",
+       "advent03  False     False       False    False     False       False  \n",
+       "advent04  False     False       False    False     False       False  \n",
+       "advent05  False     False       False    False     False       False  \n",
+       "advent06  False     False       False    False     False       False  \n",
+       "advent07  False     False       False    False     False        True  \n",
+       "advent08  False     False       False    False     False       False  \n",
+       "advent09  False     False       False    False     False       False  \n",
+       "advent10  False     False       False    False     False       False  \n",
+       "advent11  False     False       False    False     False       False  \n",
+       "advent12   True     False       False    False     False       False  \n",
+       "advent13  False     False       False    False     False       False  \n",
+       "advent14  False     False       False    False     False       False  \n",
+       "advent15  False     False       False    False     False       False  \n",
+       "advent16  False     False       False    False     False       False  \n",
+       "advent17  False     False       False    False     False       False  \n",
+       "advent18  False     False       False    False     False       False  \n",
+       "advent19  False      True       False     True      True       False  \n",
+       "advent20  False     False        True    False     False       False  \n",
+       "advent21  False     False       False    False     False       False  \n",
+       "advent22  False     False       False    False     False       False  \n",
+       "advent23  False      True       False    False     False       False  \n",
+       "advent24   True     False       False    False     False       False  \n",
+       "advent25  False     False       False    False     False       False  "
+      ]
+     },
+     "execution_count": 23,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "modules_sorted_cols = modules_df[sorted_modules]\n",
+    "modules_sorted_cols"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "da22ede4-ac7c-4d32-9396-4cf585f97ba7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>program</th>\n",
+       "      <th>module</th>\n",
+       "      <th>present</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>advent01</td>\n",
+       "      <td>split</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>advent02</td>\n",
+       "      <td>attoparsec</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>advent02</td>\n",
+       "      <td>text</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30</th>\n",
+       "      <td>advent03</td>\n",
+       "      <td>containers</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>40</th>\n",
+       "      <td>advent03</td>\n",
+       "      <td>split</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>324</th>\n",
+       "      <td>advent24</td>\n",
+       "      <td>containers</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>327</th>\n",
+       "      <td>advent24</td>\n",
+       "      <td>lens</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>328</th>\n",
+       "      <td>advent24</td>\n",
+       "      <td>linear</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>329</th>\n",
+       "      <td>advent24</td>\n",
+       "      <td>mtl</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>332</th>\n",
+       "      <td>advent24</td>\n",
+       "      <td>pqueue</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>90 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      program      module  present\n",
+       "12   advent01       split     True\n",
+       "15   advent02  attoparsec     True\n",
+       "27   advent02        text     True\n",
+       "30   advent03  containers     True\n",
+       "40   advent03       split     True\n",
+       "..        ...         ...      ...\n",
+       "324  advent24  containers     True\n",
+       "327  advent24        lens     True\n",
+       "328  advent24      linear     True\n",
+       "329  advent24         mtl     True\n",
+       "332  advent24      pqueue     True\n",
+       "\n",
+       "[90 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "modules_scatter = modules_df.stack().reset_index()\n",
+    "modules_scatter.columns = ['program', 'module', 'present']\n",
+    "modules_scatter = modules_scatter[modules_scatter.present]\n",
+    "modules_scatter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 69,
+   "id": "fa6a99a2-749a-48d5-9009-11a45eb2722a",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='program', ylabel='module'>"
+      ]
+     },
+     "execution_count": 69,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "modules_scatter.plot.scatter(x='program', y='module', s=80, rot=45, figsize=(10, 6))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 70,
+   "id": "0e1cb390-cfce-41aa-b18f-b3d9fee57ae0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cmap = mpl.colors.ListedColormap(['white', 'blue'])\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 10))\n",
+    "ax.imshow(modules_df.to_numpy().T, cmap=cmap)\n",
+    "plt.xticks(range(modules_df.index.size), labels=modules_df.index.values, rotation=90);\n",
+    "plt.yticks(range(modules_df.columns.size), labels=modules_df.columns.values);\n",
+    "\n",
+    "ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))\n",
+    "ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))\n",
+    "ax.grid(which='minor', axis='both', linestyle='-', color='silver', linewidth=1.5);\n",
+    "plt.savefig('packages.png');"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "id": "6436d177-2695-4847-b00c-bf7f4a38f1fe",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cmap = mpl.colors.ListedColormap(['white', 'blue'])\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 10))\n",
+    "ax.imshow(modules_sorted_cols.to_numpy().T, cmap=cmap)\n",
+    "plt.xticks(range(modules_sorted_cols.index.size), labels=modules_sorted_cols.index.values, rotation=90);\n",
+    "plt.yticks(range(modules_sorted_cols.columns.size), labels=modules_sorted_cols.columns.values);\n",
+    "\n",
+    "ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))\n",
+    "ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))\n",
+    "ax.grid(which='minor', axis='both', linestyle='-', color='silver', linewidth=1.5);\n",
+    "plt.savefig('packages_sorted.png');"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "d79246cc-4471-43ac-ba76-d720acbb7435",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['../advent01/Main.hs',\n",
+       " '../advent02/Main.hs',\n",
+       " '../advent03/Main.hs',\n",
+       " '../advent04/Main.hs',\n",
+       " '../advent05/Main.hs',\n",
+       " '../advent06/Main.hs',\n",
+       " '../advent07/Main.hs',\n",
+       " '../advent08/Main.hs',\n",
+       " '../advent09/Main.hs',\n",
+       " '../advent10/Main.hs',\n",
+       " '../advent11/Main.hs',\n",
+       " '../advent12/Main.hs',\n",
+       " '../advent13/Main.hs',\n",
+       " '../advent14/Main.hs',\n",
+       " '../advent15/Main.hs',\n",
+       " '../advent16/Main.hs',\n",
+       " '../advent17/Main.hs',\n",
+       " '../advent18/Main.hs',\n",
+       " '../advent19/Main.hs',\n",
+       " '../advent20/Main.hs',\n",
+       " '../advent21/Main.hs',\n",
+       " '../advent22/Main.hs',\n",
+       " '../advent23/Main.hs',\n",
+       " '../advent24/Main.hs',\n",
+       " '../advent25/Main.hs']"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mains = list(sorted(f for f in glob.glob('../advent*/Main.hs')))\n",
+    "mains"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "f9076c9f-fc86-435b-9471-99726bfbfb87",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'advent01': [('AoC', False),\n",
+       "  ('Data.List', False),\n",
+       "  ('Data.List.Split', False),\n",
+       "  ('Data.Ord', False)],\n",
+       " 'advent02': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Control.Applicative', False)],\n",
+       " 'advent03': [('AoC', False),\n",
+       "  ('Data.Char', False),\n",
+       "  ('Data.Set', True),\n",
+       "  ('Data.List', False),\n",
+       "  ('Data.List.Split', False)],\n",
+       " 'advent04': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False)],\n",
+       " 'advent05': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Control.Applicative', False),\n",
+       "  ('Data.List', False),\n",
+       "  ('Data.Maybe', False),\n",
+       "  ('Data.IntMap.Strict', True),\n",
+       "  ('Data.IntMap.Strict', False)],\n",
+       " 'advent06': [('AoC', False), ('Data.List', False)],\n",
+       " 'advent07': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Control.Applicative', False),\n",
+       "  ('Data.Char', False),\n",
+       "  ('Data.Maybe', False),\n",
+       "  ('Data.Tree', False),\n",
+       "  ('Data.Tree.Zipper', False),\n",
+       "  ('Data.Map.Strict', True),\n",
+       "  ('Data.List', False)],\n",
+       " 'advent08': [('AoC', False), ('Data.List', False)],\n",
+       " 'advent09': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Control.Applicative', False),\n",
+       "  ('Data.List', False),\n",
+       "  ('Data.Set', True),\n",
+       "  ('Linear', False),\n",
+       "  ('Control.Lens', False)],\n",
+       " 'advent10': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Control.Applicative', False),\n",
+       "  ('Data.List', False),\n",
+       "  ('Data.List.Split', False)],\n",
+       " 'advent11': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Control.Applicative', False),\n",
+       "  ('Data.List', False),\n",
+       "  ('Data.IntMap.Strict', True),\n",
+       "  ('Data.IntMap', False),\n",
+       "  ('Control.Lens', False),\n",
+       "  ('Control.Monad.State.Strict', False),\n",
+       "  ('Control.Monad.Reader', False),\n",
+       "  ('Control.Monad.Writer', False),\n",
+       "  ('Control.Monad.RWS.Strict', False)],\n",
+       " 'advent12': [('AoC', False),\n",
+       "  ('Data.PQueue.Prio.Min', True),\n",
+       "  ('Data.Set', True),\n",
+       "  ('Data.Sequence', True),\n",
+       "  ('Data.Sequence', False),\n",
+       "  ('Data.Foldable', False),\n",
+       "  ('Data.Char', False),\n",
+       "  ('Control.Monad.Reader', False),\n",
+       "  ('Control.Lens', False),\n",
+       "  ('Linear', False),\n",
+       "  ('Data.Array.IArray', False)],\n",
+       " 'advent13': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Control.Applicative', False),\n",
+       "  ('Data.List', False)],\n",
+       " 'advent14': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Data.List', False),\n",
+       "  ('Data.Ix', False),\n",
+       "  ('Data.Maybe', False),\n",
+       "  ('Data.Set', True),\n",
+       "  ('Linear', False),\n",
+       "  ('Control.Lens', False)],\n",
+       " 'advent15': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Data.Ix', False),\n",
+       "  ('Data.Set', True),\n",
+       "  ('Linear', False)],\n",
+       " 'advent16': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Control.Applicative', False),\n",
+       "  ('Data.PQueue.Prio.Max', True),\n",
+       "  ('Data.Set', True),\n",
+       "  ('Data.Sequence', True),\n",
+       "  ('Data.Map.Strict', True),\n",
+       "  ('Data.Map.Strict', False),\n",
+       "  ('Data.Sequence', False),\n",
+       "  ('Data.List', False),\n",
+       "  ('Data.List.Split', False),\n",
+       "  ('Data.Ord', False),\n",
+       "  ('Control.Monad.Reader', False),\n",
+       "  ('Control.Lens', False)],\n",
+       " 'advent17': [('AoC', False),\n",
+       "  ('Data.Set', True),\n",
+       "  ('Linear', False),\n",
+       "  ('Control.Lens', False),\n",
+       "  ('Data.Maybe', False)],\n",
+       " 'advent18': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Data.Set', True),\n",
+       "  ('Linear', False),\n",
+       "  ('Control.Lens', False),\n",
+       "  ('Data.Ix', False),\n",
+       "  ('Data.Maybe', False)],\n",
+       " 'advent19': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Control.Applicative', False),\n",
+       "  ('Data.PQueue.Prio.Max', True),\n",
+       "  ('Data.Set', True),\n",
+       "  ('Data.Sequence', True),\n",
+       "  ('Data.Map.Strict', True),\n",
+       "  ('Data.Map.Strict', False),\n",
+       "  ('Data.MultiSet', False),\n",
+       "  ('Data.Sequence', False),\n",
+       "  ('Data.List', False),\n",
+       "  ('Data.Maybe', False),\n",
+       "  ('Control.Monad.Reader', False),\n",
+       "  ('Control.Lens', False),\n",
+       "  ('GHC.Generics', False),\n",
+       "  ('Control.Parallel.Strategies', False),\n",
+       "  ('Control.DeepSeq', False)],\n",
+       " 'advent20': [('AoC', False),\n",
+       "  ('Data.List', False),\n",
+       "  ('Data.Maybe', False),\n",
+       "  ('Data.CircularList', False),\n",
+       "  ('Control.Lens', False)],\n",
+       " 'advent21': [('AoC', False),\n",
+       "  ('Data.Text', False),\n",
+       "  ('Data.Text.IO', True),\n",
+       "  ('Data.Attoparsec.Text', False),\n",
+       "  ('Control.Applicative', False),\n",
+       "  ('Data.Map.Strict', True),\n",
+       "  ('Data.Map.Strict', False),\n",
+       "  ('Control.Lens', False)],\n",
+       " 'advent22': [('AoC', False),\n",
+       "  ('Prelude', False),\n",
+       "  ('Data.Map.Strict', True),\n",
+       "  ('Data.Map.Strict', False),\n",
+       "  ('Linear', False),\n",
+       "  ('Control.Lens', False),\n",
+       "  ('Data.Ix', False),\n",
+       "  ('Data.Maybe', False),\n",
+       "  ('Data.Char', False),\n",
+       "  ('Control.Monad.Reader', False)],\n",
+       " 'advent23': [('AoC', False),\n",
+       "  ('Data.Set', True),\n",
+       "  ('Linear', False),\n",
+       "  ('Control.Lens', False),\n",
+       "  ('Data.Ix', False),\n",
+       "  ('Data.Maybe', False),\n",
+       "  ('Data.Monoid', False),\n",
+       "  ('Data.MultiSet', False),\n",
+       "  ('Control.Monad.State.Strict', False)],\n",
+       " 'advent24': [('AoC', False),\n",
+       "  ('Data.PQueue.Prio.Min', True),\n",
+       "  ('Data.Set', True),\n",
+       "  ('Data.IntMap.Strict', True),\n",
+       "  ('Data.Sequence', True),\n",
+       "  ('Data.Sequence', False),\n",
+       "  ('Control.Monad.Reader', False),\n",
+       "  ('Control.Lens', False),\n",
+       "  ('Linear', False),\n",
+       "  ('Data.Array.IArray', False),\n",
+       "  ('Data.List', False),\n",
+       "  ('Data.Maybe', False)],\n",
+       " 'advent25': [('AoC', False), ('Data.List', False)]}"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "main_imports = {}\n",
+    "\n",
+    "for m in mains:\n",
+    "    with open(m) as f:\n",
+    "        lines = f.readlines()\n",
+    "        import_lines = [l for l in lines if l.strip().startswith('import') if 'Debug.Trace' not in l]\n",
+    "        imports = []\n",
+    "        for i in import_lines:\n",
+    "            words = i.strip().split()\n",
+    "            if 'qualified' in i:\n",
+    "                imports.append((words[2], True))\n",
+    "            else:\n",
+    "                imports.append((words[1], False))\n",
+    "    main_imports[m.split('/')[1]] = imports\n",
+    "\n",
+    "main_imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "3260db91-68df-47d3-b4c3-8745ea974033",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[(('AoC', False), 25),\n",
+       " (('Data.List', False), 16),\n",
+       " (('Data.Text', False), 14),\n",
+       " (('Data.Text.IO', True), 14),\n",
+       " (('Data.Attoparsec.Text', False), 14),\n",
+       " (('Control.Lens', False), 13),\n",
+       " (('Data.Set', True), 11),\n",
+       " (('Control.Applicative', False), 10),\n",
+       " (('Data.Maybe', False), 10),\n",
+       " (('Linear', False), 9),\n",
+       " (('Control.Monad.Reader', False), 6),\n",
+       " (('Data.Map.Strict', True), 5),\n",
+       " (('Data.Ix', False), 5),\n",
+       " (('Data.List.Split', False), 4),\n",
+       " (('Data.Char', False), 4),\n",
+       " (('Data.Sequence', True), 4),\n",
+       " (('Data.Sequence', False), 4),\n",
+       " (('Data.Map.Strict', False), 4),\n",
+       " (('Data.IntMap.Strict', True), 3),\n",
+       " (('Data.Ord', False), 2),\n",
+       " (('Control.Monad.State.Strict', False), 2),\n",
+       " (('Data.PQueue.Prio.Min', True), 2),\n",
+       " (('Data.Array.IArray', False), 2),\n",
+       " (('Data.PQueue.Prio.Max', True), 2),\n",
+       " (('Data.MultiSet', False), 2),\n",
+       " (('Data.IntMap.Strict', False), 1),\n",
+       " (('Data.Tree', False), 1),\n",
+       " (('Data.Tree.Zipper', False), 1),\n",
+       " (('Data.IntMap', False), 1),\n",
+       " (('Control.Monad.Writer', False), 1),\n",
+       " (('Control.Monad.RWS.Strict', False), 1),\n",
+       " (('Data.Foldable', False), 1),\n",
+       " (('GHC.Generics', False), 1),\n",
+       " (('Control.Parallel.Strategies', False), 1),\n",
+       " (('Control.DeepSeq', False), 1),\n",
+       " (('Data.CircularList', False), 1),\n",
+       " (('Prelude', False), 1),\n",
+       " (('Data.Monoid', False), 1)]"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import_counts = collections.Counter(l for ls in main_imports.values() for l in ls)\n",
+    "import_counts.most_common()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "3f683faa-4d1d-4269-a66e-0ea848804e03",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{'advent01': {'AoC', 'Data.List', 'Data.List.Split', 'Data.Ord'},\n",
+       " 'advent02': {'AoC',\n",
+       "  'Control.Applicative',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO'},\n",
+       " 'advent03': {'AoC', 'Data.Char', 'Data.List', 'Data.List.Split', 'Data.Set'},\n",
+       " 'advent04': {'AoC', 'Data.Attoparsec.Text', 'Data.Text', 'Data.Text.IO'},\n",
+       " 'advent05': {'AoC',\n",
+       "  'Control.Applicative',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.IntMap.Strict',\n",
+       "  'Data.List',\n",
+       "  'Data.Maybe',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO'},\n",
+       " 'advent06': {'AoC', 'Data.List'},\n",
+       " 'advent07': {'AoC',\n",
+       "  'Control.Applicative',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.Char',\n",
+       "  'Data.List',\n",
+       "  'Data.Map.Strict',\n",
+       "  'Data.Maybe',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO',\n",
+       "  'Data.Tree',\n",
+       "  'Data.Tree.Zipper'},\n",
+       " 'advent08': {'AoC', 'Data.List'},\n",
+       " 'advent09': {'AoC',\n",
+       "  'Control.Applicative',\n",
+       "  'Control.Lens',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.List',\n",
+       "  'Data.Set',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO',\n",
+       "  'Linear'},\n",
+       " 'advent10': {'AoC',\n",
+       "  'Control.Applicative',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.List',\n",
+       "  'Data.List.Split',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO'},\n",
+       " 'advent11': {'AoC',\n",
+       "  'Control.Applicative',\n",
+       "  'Control.Lens',\n",
+       "  'Control.Monad.RWS.Strict',\n",
+       "  'Control.Monad.Reader',\n",
+       "  'Control.Monad.State.Strict',\n",
+       "  'Control.Monad.Writer',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.IntMap',\n",
+       "  'Data.IntMap.Strict',\n",
+       "  'Data.List',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO'},\n",
+       " 'advent12': {'AoC',\n",
+       "  'Control.Lens',\n",
+       "  'Control.Monad.Reader',\n",
+       "  'Data.Array.IArray',\n",
+       "  'Data.Char',\n",
+       "  'Data.Foldable',\n",
+       "  'Data.PQueue.Prio.Min',\n",
+       "  'Data.Sequence',\n",
+       "  'Data.Set',\n",
+       "  'Linear'},\n",
+       " 'advent13': {'AoC',\n",
+       "  'Control.Applicative',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.List',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO'},\n",
+       " 'advent14': {'AoC',\n",
+       "  'Control.Lens',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.Ix',\n",
+       "  'Data.List',\n",
+       "  'Data.Maybe',\n",
+       "  'Data.Set',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO',\n",
+       "  'Linear'},\n",
+       " 'advent15': {'AoC',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.Ix',\n",
+       "  'Data.Set',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO',\n",
+       "  'Linear'},\n",
+       " 'advent16': {'AoC',\n",
+       "  'Control.Applicative',\n",
+       "  'Control.Lens',\n",
+       "  'Control.Monad.Reader',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.List',\n",
+       "  'Data.List.Split',\n",
+       "  'Data.Map.Strict',\n",
+       "  'Data.Ord',\n",
+       "  'Data.PQueue.Prio.Max',\n",
+       "  'Data.Sequence',\n",
+       "  'Data.Set',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO'},\n",
+       " 'advent17': {'AoC', 'Control.Lens', 'Data.Maybe', 'Data.Set', 'Linear'},\n",
+       " 'advent18': {'AoC',\n",
+       "  'Control.Lens',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.Ix',\n",
+       "  'Data.Maybe',\n",
+       "  'Data.Set',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO',\n",
+       "  'Linear'},\n",
+       " 'advent19': {'AoC',\n",
+       "  'Control.Applicative',\n",
+       "  'Control.DeepSeq',\n",
+       "  'Control.Lens',\n",
+       "  'Control.Monad.Reader',\n",
+       "  'Control.Parallel.Strategies',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.List',\n",
+       "  'Data.Map.Strict',\n",
+       "  'Data.Maybe',\n",
+       "  'Data.MultiSet',\n",
+       "  'Data.PQueue.Prio.Max',\n",
+       "  'Data.Sequence',\n",
+       "  'Data.Set',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO',\n",
+       "  'GHC.Generics'},\n",
+       " 'advent20': {'AoC',\n",
+       "  'Control.Lens',\n",
+       "  'Data.CircularList',\n",
+       "  'Data.List',\n",
+       "  'Data.Maybe'},\n",
+       " 'advent21': {'AoC',\n",
+       "  'Control.Applicative',\n",
+       "  'Control.Lens',\n",
+       "  'Data.Attoparsec.Text',\n",
+       "  'Data.Map.Strict',\n",
+       "  'Data.Text',\n",
+       "  'Data.Text.IO'},\n",
+       " 'advent22': {'AoC',\n",
+       "  'Control.Lens',\n",
+       "  'Control.Monad.Reader',\n",
+       "  'Data.Char',\n",
+       "  'Data.Ix',\n",
+       "  'Data.Map.Strict',\n",
+       "  'Data.Maybe',\n",
+       "  'Linear',\n",
+       "  'Prelude'},\n",
+       " 'advent23': {'AoC',\n",
+       "  'Control.Lens',\n",
+       "  'Control.Monad.State.Strict',\n",
+       "  'Data.Ix',\n",
+       "  'Data.Maybe',\n",
+       "  'Data.Monoid',\n",
+       "  'Data.MultiSet',\n",
+       "  'Data.Set',\n",
+       "  'Linear'},\n",
+       " 'advent24': {'AoC',\n",
+       "  'Control.Lens',\n",
+       "  'Control.Monad.Reader',\n",
+       "  'Data.Array.IArray',\n",
+       "  'Data.IntMap.Strict',\n",
+       "  'Data.List',\n",
+       "  'Data.Maybe',\n",
+       "  'Data.PQueue.Prio.Min',\n",
+       "  'Data.Sequence',\n",
+       "  'Data.Set',\n",
+       "  'Linear'},\n",
+       " 'advent25': {'AoC', 'Data.List'}}"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "main_imports_unqualified = {m: set(i[0] for i in main_imports[m]) for m in main_imports}\n",
+    "main_imports_unqualified"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "e5ff5780-e511-41ab-9207-0cc6bdaecb64",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[('AoC', 25),\n",
+       " ('Data.List', 16),\n",
+       " ('Data.Text', 14),\n",
+       " ('Data.Attoparsec.Text', 14),\n",
+       " ('Data.Text.IO', 14),\n",
+       " ('Control.Lens', 13),\n",
+       " ('Data.Set', 11),\n",
+       " ('Control.Applicative', 10),\n",
+       " ('Data.Maybe', 10),\n",
+       " ('Linear', 9),\n",
+       " ('Control.Monad.Reader', 6),\n",
+       " ('Data.Map.Strict', 5),\n",
+       " ('Data.Ix', 5),\n",
+       " ('Data.List.Split', 4),\n",
+       " ('Data.Char', 4),\n",
+       " ('Data.Sequence', 4),\n",
+       " ('Data.IntMap.Strict', 3),\n",
+       " ('Data.Ord', 2),\n",
+       " ('Control.Monad.State.Strict', 2),\n",
+       " ('Data.PQueue.Prio.Min', 2),\n",
+       " ('Data.Array.IArray', 2),\n",
+       " ('Data.PQueue.Prio.Max', 2),\n",
+       " ('Data.MultiSet', 2),\n",
+       " ('Data.Tree', 1),\n",
+       " ('Data.Tree.Zipper', 1),\n",
+       " ('Control.Monad.Writer', 1),\n",
+       " ('Control.Monad.RWS.Strict', 1),\n",
+       " ('Data.IntMap', 1),\n",
+       " ('Data.Foldable', 1),\n",
+       " ('Control.DeepSeq', 1),\n",
+       " ('GHC.Generics', 1),\n",
+       " ('Control.Parallel.Strategies', 1),\n",
+       " ('Data.CircularList', 1),\n",
+       " ('Prelude', 1),\n",
+       " ('Data.Monoid', 1)]"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import_counts_unqualified = collections.Counter(l for ls in main_imports_unqualified.values() for l in ls)\n",
+    "import_counts_unqualified.most_common()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "e0580f26-9f6d-49f9-83ff-92dbd190aad6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>AoC</th>\n",
+       "      <th>Control.Applicative</th>\n",
+       "      <th>Control.DeepSeq</th>\n",
+       "      <th>Control.Lens</th>\n",
+       "      <th>Control.Monad.RWS.Strict</th>\n",
+       "      <th>Control.Monad.Reader</th>\n",
+       "      <th>Control.Monad.State.Strict</th>\n",
+       "      <th>Control.Monad.Writer</th>\n",
+       "      <th>Control.Parallel.Strategies</th>\n",
+       "      <th>Data.Array.IArray</th>\n",
+       "      <th>...</th>\n",
+       "      <th>Data.PQueue.Prio.Min</th>\n",
+       "      <th>Data.Sequence</th>\n",
+       "      <th>Data.Set</th>\n",
+       "      <th>Data.Text</th>\n",
+       "      <th>Data.Text.IO</th>\n",
+       "      <th>Data.Tree</th>\n",
+       "      <th>Data.Tree.Zipper</th>\n",
+       "      <th>GHC.Generics</th>\n",
+       "      <th>Linear</th>\n",
+       "      <th>Prelude</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>advent01</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent02</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent03</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent04</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent05</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent06</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent07</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent08</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent09</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent10</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent11</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent12</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent13</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent14</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent15</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent16</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent17</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent18</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent19</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent20</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent21</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent22</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent23</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent24</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent25</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>25 rows × 35 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           AoC  Control.Applicative  Control.DeepSeq  Control.Lens  \\\n",
+       "advent01  True                False            False         False   \n",
+       "advent02  True                 True            False         False   \n",
+       "advent03  True                False            False         False   \n",
+       "advent04  True                False            False         False   \n",
+       "advent05  True                 True            False         False   \n",
+       "advent06  True                False            False         False   \n",
+       "advent07  True                 True            False         False   \n",
+       "advent08  True                False            False         False   \n",
+       "advent09  True                 True            False          True   \n",
+       "advent10  True                 True            False         False   \n",
+       "advent11  True                 True            False          True   \n",
+       "advent12  True                False            False          True   \n",
+       "advent13  True                 True            False         False   \n",
+       "advent14  True                False            False          True   \n",
+       "advent15  True                False            False         False   \n",
+       "advent16  True                 True            False          True   \n",
+       "advent17  True                False            False          True   \n",
+       "advent18  True                False            False          True   \n",
+       "advent19  True                 True             True          True   \n",
+       "advent20  True                False            False          True   \n",
+       "advent21  True                 True            False          True   \n",
+       "advent22  True                False            False          True   \n",
+       "advent23  True                False            False          True   \n",
+       "advent24  True                False            False          True   \n",
+       "advent25  True                False            False         False   \n",
+       "\n",
+       "          Control.Monad.RWS.Strict  Control.Monad.Reader  \\\n",
+       "advent01                     False                 False   \n",
+       "advent02                     False                 False   \n",
+       "advent03                     False                 False   \n",
+       "advent04                     False                 False   \n",
+       "advent05                     False                 False   \n",
+       "advent06                     False                 False   \n",
+       "advent07                     False                 False   \n",
+       "advent08                     False                 False   \n",
+       "advent09                     False                 False   \n",
+       "advent10                     False                 False   \n",
+       "advent11                      True                  True   \n",
+       "advent12                     False                  True   \n",
+       "advent13                     False                 False   \n",
+       "advent14                     False                 False   \n",
+       "advent15                     False                 False   \n",
+       "advent16                     False                  True   \n",
+       "advent17                     False                 False   \n",
+       "advent18                     False                 False   \n",
+       "advent19                     False                  True   \n",
+       "advent20                     False                 False   \n",
+       "advent21                     False                 False   \n",
+       "advent22                     False                  True   \n",
+       "advent23                     False                 False   \n",
+       "advent24                     False                  True   \n",
+       "advent25                     False                 False   \n",
+       "\n",
+       "          Control.Monad.State.Strict  Control.Monad.Writer  \\\n",
+       "advent01                       False                 False   \n",
+       "advent02                       False                 False   \n",
+       "advent03                       False                 False   \n",
+       "advent04                       False                 False   \n",
+       "advent05                       False                 False   \n",
+       "advent06                       False                 False   \n",
+       "advent07                       False                 False   \n",
+       "advent08                       False                 False   \n",
+       "advent09                       False                 False   \n",
+       "advent10                       False                 False   \n",
+       "advent11                        True                  True   \n",
+       "advent12                       False                 False   \n",
+       "advent13                       False                 False   \n",
+       "advent14                       False                 False   \n",
+       "advent15                       False                 False   \n",
+       "advent16                       False                 False   \n",
+       "advent17                       False                 False   \n",
+       "advent18                       False                 False   \n",
+       "advent19                       False                 False   \n",
+       "advent20                       False                 False   \n",
+       "advent21                       False                 False   \n",
+       "advent22                       False                 False   \n",
+       "advent23                        True                 False   \n",
+       "advent24                       False                 False   \n",
+       "advent25                       False                 False   \n",
+       "\n",
+       "          Control.Parallel.Strategies  Data.Array.IArray  ...  \\\n",
+       "advent01                        False              False  ...   \n",
+       "advent02                        False              False  ...   \n",
+       "advent03                        False              False  ...   \n",
+       "advent04                        False              False  ...   \n",
+       "advent05                        False              False  ...   \n",
+       "advent06                        False              False  ...   \n",
+       "advent07                        False              False  ...   \n",
+       "advent08                        False              False  ...   \n",
+       "advent09                        False              False  ...   \n",
+       "advent10                        False              False  ...   \n",
+       "advent11                        False              False  ...   \n",
+       "advent12                        False               True  ...   \n",
+       "advent13                        False              False  ...   \n",
+       "advent14                        False              False  ...   \n",
+       "advent15                        False              False  ...   \n",
+       "advent16                        False              False  ...   \n",
+       "advent17                        False              False  ...   \n",
+       "advent18                        False              False  ...   \n",
+       "advent19                         True              False  ...   \n",
+       "advent20                        False              False  ...   \n",
+       "advent21                        False              False  ...   \n",
+       "advent22                        False              False  ...   \n",
+       "advent23                        False              False  ...   \n",
+       "advent24                        False               True  ...   \n",
+       "advent25                        False              False  ...   \n",
+       "\n",
+       "          Data.PQueue.Prio.Min  Data.Sequence  Data.Set  Data.Text  \\\n",
+       "advent01                 False          False     False      False   \n",
+       "advent02                 False          False     False       True   \n",
+       "advent03                 False          False      True      False   \n",
+       "advent04                 False          False     False       True   \n",
+       "advent05                 False          False     False       True   \n",
+       "advent06                 False          False     False      False   \n",
+       "advent07                 False          False     False       True   \n",
+       "advent08                 False          False     False      False   \n",
+       "advent09                 False          False      True       True   \n",
+       "advent10                 False          False     False       True   \n",
+       "advent11                 False          False     False       True   \n",
+       "advent12                  True           True      True      False   \n",
+       "advent13                 False          False     False       True   \n",
+       "advent14                 False          False      True       True   \n",
+       "advent15                 False          False      True       True   \n",
+       "advent16                 False           True      True       True   \n",
+       "advent17                 False          False      True      False   \n",
+       "advent18                 False          False      True       True   \n",
+       "advent19                 False           True      True       True   \n",
+       "advent20                 False          False     False      False   \n",
+       "advent21                 False          False     False       True   \n",
+       "advent22                 False          False     False      False   \n",
+       "advent23                 False          False      True      False   \n",
+       "advent24                  True           True      True      False   \n",
+       "advent25                 False          False     False      False   \n",
+       "\n",
+       "          Data.Text.IO  Data.Tree  Data.Tree.Zipper  GHC.Generics  Linear  \\\n",
+       "advent01         False      False             False         False   False   \n",
+       "advent02          True      False             False         False   False   \n",
+       "advent03         False      False             False         False   False   \n",
+       "advent04          True      False             False         False   False   \n",
+       "advent05          True      False             False         False   False   \n",
+       "advent06         False      False             False         False   False   \n",
+       "advent07          True       True              True         False   False   \n",
+       "advent08         False      False             False         False   False   \n",
+       "advent09          True      False             False         False    True   \n",
+       "advent10          True      False             False         False   False   \n",
+       "advent11          True      False             False         False   False   \n",
+       "advent12         False      False             False         False    True   \n",
+       "advent13          True      False             False         False   False   \n",
+       "advent14          True      False             False         False    True   \n",
+       "advent15          True      False             False         False    True   \n",
+       "advent16          True      False             False         False   False   \n",
+       "advent17         False      False             False         False    True   \n",
+       "advent18          True      False             False         False    True   \n",
+       "advent19          True      False             False          True   False   \n",
+       "advent20         False      False             False         False   False   \n",
+       "advent21          True      False             False         False   False   \n",
+       "advent22         False      False             False         False    True   \n",
+       "advent23         False      False             False         False    True   \n",
+       "advent24         False      False             False         False    True   \n",
+       "advent25         False      False             False         False   False   \n",
+       "\n",
+       "          Prelude  \n",
+       "advent01    False  \n",
+       "advent02    False  \n",
+       "advent03    False  \n",
+       "advent04    False  \n",
+       "advent05    False  \n",
+       "advent06    False  \n",
+       "advent07    False  \n",
+       "advent08    False  \n",
+       "advent09    False  \n",
+       "advent10    False  \n",
+       "advent11    False  \n",
+       "advent12    False  \n",
+       "advent13    False  \n",
+       "advent14    False  \n",
+       "advent15    False  \n",
+       "advent16    False  \n",
+       "advent17    False  \n",
+       "advent18    False  \n",
+       "advent19    False  \n",
+       "advent20    False  \n",
+       "advent21    False  \n",
+       "advent22     True  \n",
+       "advent23    False  \n",
+       "advent24    False  \n",
+       "advent25    False  \n",
+       "\n",
+       "[25 rows x 35 columns]"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "all_imports = set(m for p in main_imports_unqualified for m in main_imports_unqualified[p])\n",
+    "imports_df = pd.DataFrame.from_dict(\n",
+    "    {p: {m: m in main_imports_unqualified[p] \n",
+    "         for m in sorted(all_imports)} \n",
+    "     for p in main_imports_unqualified}, \n",
+    "    orient='index').sort_index()\n",
+    "imports_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "3668bdab-5b8f-4ab0-b788-002f0ced7b8c",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "|                             |   0 |\n",
+      "|:----------------------------|----:|\n",
+      "| AoC                         |  25 |\n",
+      "| Data.List                   |  16 |\n",
+      "| Data.Text                   |  14 |\n",
+      "| Data.Attoparsec.Text        |  14 |\n",
+      "| Data.Text.IO                |  14 |\n",
+      "| Control.Lens                |  13 |\n",
+      "| Data.Set                    |  11 |\n",
+      "| Data.Maybe                  |  10 |\n",
+      "| Control.Applicative         |  10 |\n",
+      "| Linear                      |   9 |\n",
+      "| Control.Monad.Reader        |   6 |\n",
+      "| Data.Map.Strict             |   5 |\n",
+      "| Data.Ix                     |   5 |\n",
+      "| Data.Sequence               |   4 |\n",
+      "| Data.List.Split             |   4 |\n",
+      "| Data.Char                   |   4 |\n",
+      "| Data.IntMap.Strict          |   3 |\n",
+      "| Data.Array.IArray           |   2 |\n",
+      "| Control.Monad.State.Strict  |   2 |\n",
+      "| Data.MultiSet               |   2 |\n",
+      "| Data.Ord                    |   2 |\n",
+      "| Data.PQueue.Prio.Max        |   2 |\n",
+      "| Data.PQueue.Prio.Min        |   2 |\n",
+      "| Data.Tree                   |   1 |\n",
+      "| Data.Tree.Zipper            |   1 |\n",
+      "| GHC.Generics                |   1 |\n",
+      "| Control.DeepSeq             |   1 |\n",
+      "| Data.Monoid                 |   1 |\n",
+      "| Data.IntMap                 |   1 |\n",
+      "| Data.Foldable               |   1 |\n",
+      "| Data.CircularList           |   1 |\n",
+      "| Control.Parallel.Strategies |   1 |\n",
+      "| Control.Monad.Writer        |   1 |\n",
+      "| Control.Monad.RWS.Strict    |   1 |\n",
+      "| Prelude                     |   1 |\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(imports_df.sum().sort_values(ascending=False).to_markdown())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "3f3e9d52-87b4-4a2d-889d-0bd925f967b0",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>program</th>\n",
+       "      <th>module</th>\n",
+       "      <th>present</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>advent01</td>\n",
+       "      <td>AoC</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>advent01</td>\n",
+       "      <td>Data.List</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>advent01</td>\n",
+       "      <td>Data.List.Split</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>advent01</td>\n",
+       "      <td>Data.Ord</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>35</th>\n",
+       "      <td>advent02</td>\n",
+       "      <td>AoC</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>831</th>\n",
+       "      <td>advent24</td>\n",
+       "      <td>Data.Sequence</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>832</th>\n",
+       "      <td>advent24</td>\n",
+       "      <td>Data.Set</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>838</th>\n",
+       "      <td>advent24</td>\n",
+       "      <td>Linear</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>840</th>\n",
+       "      <td>advent25</td>\n",
+       "      <td>AoC</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>857</th>\n",
+       "      <td>advent25</td>\n",
+       "      <td>Data.List</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>191 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      program           module  present\n",
+       "0    advent01              AoC     True\n",
+       "17   advent01        Data.List     True\n",
+       "18   advent01  Data.List.Split     True\n",
+       "23   advent01         Data.Ord     True\n",
+       "35   advent02              AoC     True\n",
+       "..        ...              ...      ...\n",
+       "831  advent24    Data.Sequence     True\n",
+       "832  advent24         Data.Set     True\n",
+       "838  advent24           Linear     True\n",
+       "840  advent25              AoC     True\n",
+       "857  advent25        Data.List     True\n",
+       "\n",
+       "[191 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "imports_scatter = imports_df.stack().reset_index()\n",
+    "imports_scatter.columns = ['program', 'module', 'present']\n",
+    "imports_scatter = imports_scatter[imports_scatter.present]\n",
+    "imports_scatter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "1b22b8c9-a14f-406d-bd77-ba7d7b3c3ffa",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='program', ylabel='module'>"
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "imports_scatter.plot.scatter(x='program', y='module', s=80, rot=45, figsize=(10, 10))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "9552d5f9-cc44-4d49-b97e-8961556878c5",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "35"
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "imports_df.columns.size"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "fa42c909-7c89-4351-97fd-150138892255",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['AoC', 'Data.List', 'Data.Text', 'Data.Attoparsec.Text',\n",
+       "       'Data.Text.IO', 'Control.Lens', 'Data.Set', 'Data.Maybe',\n",
+       "       'Control.Applicative', 'Linear', 'Control.Monad.Reader',\n",
+       "       'Data.Map.Strict', 'Data.Ix', 'Data.Sequence', 'Data.List.Split',\n",
+       "       'Data.Char', 'Data.IntMap.Strict', 'Data.Array.IArray',\n",
+       "       'Control.Monad.State.Strict', 'Data.MultiSet', 'Data.Ord',\n",
+       "       'Data.PQueue.Prio.Max', 'Data.PQueue.Prio.Min', 'Data.Tree',\n",
+       "       'Data.Tree.Zipper', 'GHC.Generics', 'Control.DeepSeq',\n",
+       "       'Data.Monoid', 'Data.IntMap', 'Data.Foldable', 'Data.CircularList',\n",
+       "       'Control.Parallel.Strategies', 'Control.Monad.Writer',\n",
+       "       'Control.Monad.RWS.Strict', 'Prelude'], dtype=object)"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sorted_imports = imports_df.sum().sort_values(ascending=False).index.values\n",
+    "sorted_imports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "8d845f2f-4b8f-49cf-92a8-342fd368c71f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>AoC</th>\n",
+       "      <th>Data.List</th>\n",
+       "      <th>Data.Text</th>\n",
+       "      <th>Data.Attoparsec.Text</th>\n",
+       "      <th>Data.Text.IO</th>\n",
+       "      <th>Control.Lens</th>\n",
+       "      <th>Data.Set</th>\n",
+       "      <th>Data.Maybe</th>\n",
+       "      <th>Control.Applicative</th>\n",
+       "      <th>Linear</th>\n",
+       "      <th>...</th>\n",
+       "      <th>GHC.Generics</th>\n",
+       "      <th>Control.DeepSeq</th>\n",
+       "      <th>Data.Monoid</th>\n",
+       "      <th>Data.IntMap</th>\n",
+       "      <th>Data.Foldable</th>\n",
+       "      <th>Data.CircularList</th>\n",
+       "      <th>Control.Parallel.Strategies</th>\n",
+       "      <th>Control.Monad.Writer</th>\n",
+       "      <th>Control.Monad.RWS.Strict</th>\n",
+       "      <th>Prelude</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>advent01</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent02</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent03</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent04</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent05</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent06</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent07</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent08</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent09</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent10</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent11</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent12</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent13</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent14</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent15</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent16</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent17</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent18</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent19</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent20</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent21</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent22</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent23</th>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent24</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>True</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent25</th>\n",
+       "      <td>True</td>\n",
+       "      <td>True</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>25 rows × 35 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           AoC  Data.List  Data.Text  Data.Attoparsec.Text  Data.Text.IO  \\\n",
+       "advent01  True       True      False                 False         False   \n",
+       "advent02  True      False       True                  True          True   \n",
+       "advent03  True       True      False                 False         False   \n",
+       "advent04  True      False       True                  True          True   \n",
+       "advent05  True       True       True                  True          True   \n",
+       "advent06  True       True      False                 False         False   \n",
+       "advent07  True       True       True                  True          True   \n",
+       "advent08  True       True      False                 False         False   \n",
+       "advent09  True       True       True                  True          True   \n",
+       "advent10  True       True       True                  True          True   \n",
+       "advent11  True       True       True                  True          True   \n",
+       "advent12  True      False      False                 False         False   \n",
+       "advent13  True       True       True                  True          True   \n",
+       "advent14  True       True       True                  True          True   \n",
+       "advent15  True      False       True                  True          True   \n",
+       "advent16  True       True       True                  True          True   \n",
+       "advent17  True      False      False                 False         False   \n",
+       "advent18  True      False       True                  True          True   \n",
+       "advent19  True       True       True                  True          True   \n",
+       "advent20  True       True      False                 False         False   \n",
+       "advent21  True      False       True                  True          True   \n",
+       "advent22  True      False      False                 False         False   \n",
+       "advent23  True      False      False                 False         False   \n",
+       "advent24  True       True      False                 False         False   \n",
+       "advent25  True       True      False                 False         False   \n",
+       "\n",
+       "          Control.Lens  Data.Set  Data.Maybe  Control.Applicative  Linear  \\\n",
+       "advent01         False     False       False                False   False   \n",
+       "advent02         False     False       False                 True   False   \n",
+       "advent03         False      True       False                False   False   \n",
+       "advent04         False     False       False                False   False   \n",
+       "advent05         False     False        True                 True   False   \n",
+       "advent06         False     False       False                False   False   \n",
+       "advent07         False     False        True                 True   False   \n",
+       "advent08         False     False       False                False   False   \n",
+       "advent09          True      True       False                 True    True   \n",
+       "advent10         False     False       False                 True   False   \n",
+       "advent11          True     False       False                 True   False   \n",
+       "advent12          True      True       False                False    True   \n",
+       "advent13         False     False       False                 True   False   \n",
+       "advent14          True      True        True                False    True   \n",
+       "advent15         False      True       False                False    True   \n",
+       "advent16          True      True       False                 True   False   \n",
+       "advent17          True      True        True                False    True   \n",
+       "advent18          True      True        True                False    True   \n",
+       "advent19          True      True        True                 True   False   \n",
+       "advent20          True     False        True                False   False   \n",
+       "advent21          True     False       False                 True   False   \n",
+       "advent22          True     False        True                False    True   \n",
+       "advent23          True      True        True                False    True   \n",
+       "advent24          True      True        True                False    True   \n",
+       "advent25         False     False       False                False   False   \n",
+       "\n",
+       "          ...  GHC.Generics  Control.DeepSeq  Data.Monoid  Data.IntMap  \\\n",
+       "advent01  ...         False            False        False        False   \n",
+       "advent02  ...         False            False        False        False   \n",
+       "advent03  ...         False            False        False        False   \n",
+       "advent04  ...         False            False        False        False   \n",
+       "advent05  ...         False            False        False        False   \n",
+       "advent06  ...         False            False        False        False   \n",
+       "advent07  ...         False            False        False        False   \n",
+       "advent08  ...         False            False        False        False   \n",
+       "advent09  ...         False            False        False        False   \n",
+       "advent10  ...         False            False        False        False   \n",
+       "advent11  ...         False            False        False         True   \n",
+       "advent12  ...         False            False        False        False   \n",
+       "advent13  ...         False            False        False        False   \n",
+       "advent14  ...         False            False        False        False   \n",
+       "advent15  ...         False            False        False        False   \n",
+       "advent16  ...         False            False        False        False   \n",
+       "advent17  ...         False            False        False        False   \n",
+       "advent18  ...         False            False        False        False   \n",
+       "advent19  ...          True             True        False        False   \n",
+       "advent20  ...         False            False        False        False   \n",
+       "advent21  ...         False            False        False        False   \n",
+       "advent22  ...         False            False        False        False   \n",
+       "advent23  ...         False            False         True        False   \n",
+       "advent24  ...         False            False        False        False   \n",
+       "advent25  ...         False            False        False        False   \n",
+       "\n",
+       "          Data.Foldable  Data.CircularList  Control.Parallel.Strategies  \\\n",
+       "advent01          False              False                        False   \n",
+       "advent02          False              False                        False   \n",
+       "advent03          False              False                        False   \n",
+       "advent04          False              False                        False   \n",
+       "advent05          False              False                        False   \n",
+       "advent06          False              False                        False   \n",
+       "advent07          False              False                        False   \n",
+       "advent08          False              False                        False   \n",
+       "advent09          False              False                        False   \n",
+       "advent10          False              False                        False   \n",
+       "advent11          False              False                        False   \n",
+       "advent12           True              False                        False   \n",
+       "advent13          False              False                        False   \n",
+       "advent14          False              False                        False   \n",
+       "advent15          False              False                        False   \n",
+       "advent16          False              False                        False   \n",
+       "advent17          False              False                        False   \n",
+       "advent18          False              False                        False   \n",
+       "advent19          False              False                         True   \n",
+       "advent20          False               True                        False   \n",
+       "advent21          False              False                        False   \n",
+       "advent22          False              False                        False   \n",
+       "advent23          False              False                        False   \n",
+       "advent24          False              False                        False   \n",
+       "advent25          False              False                        False   \n",
+       "\n",
+       "          Control.Monad.Writer  Control.Monad.RWS.Strict  Prelude  \n",
+       "advent01                 False                     False    False  \n",
+       "advent02                 False                     False    False  \n",
+       "advent03                 False                     False    False  \n",
+       "advent04                 False                     False    False  \n",
+       "advent05                 False                     False    False  \n",
+       "advent06                 False                     False    False  \n",
+       "advent07                 False                     False    False  \n",
+       "advent08                 False                     False    False  \n",
+       "advent09                 False                     False    False  \n",
+       "advent10                 False                     False    False  \n",
+       "advent11                  True                      True    False  \n",
+       "advent12                 False                     False    False  \n",
+       "advent13                 False                     False    False  \n",
+       "advent14                 False                     False    False  \n",
+       "advent15                 False                     False    False  \n",
+       "advent16                 False                     False    False  \n",
+       "advent17                 False                     False    False  \n",
+       "advent18                 False                     False    False  \n",
+       "advent19                 False                     False    False  \n",
+       "advent20                 False                     False    False  \n",
+       "advent21                 False                     False    False  \n",
+       "advent22                 False                     False     True  \n",
+       "advent23                 False                     False    False  \n",
+       "advent24                 False                     False    False  \n",
+       "advent25                 False                     False    False  \n",
+       "\n",
+       "[25 rows x 35 columns]"
+      ]
+     },
+     "execution_count": 50,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "imports_sorted_cols = imports_df[sorted_imports]\n",
+    "imports_sorted_cols"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "4b70002e-f12e-4067-b8b8-119504e4d86b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cmap = mpl.colors.ListedColormap(['white', 'blue'])\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 10))\n",
+    "ax.imshow(imports_df.to_numpy().T, cmap=cmap)\n",
+    "plt.xticks(range(imports_df.index.size), labels=imports_df.index.values, rotation=90);\n",
+    "plt.yticks(range(imports_df.columns.size), labels=imports_df.columns.values);\n",
+    "\n",
+    "ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))\n",
+    "ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))\n",
+    "ax.grid(which='minor', axis='both', linestyle='-', color='silver', linewidth=1.5);\n",
+    "plt.savefig('imports.png');"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "280a262c-13d5-44c9-ab5f-9e166a76a2dc",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "cmap = mpl.colors.ListedColormap(['white', 'blue'])\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(10, 10))\n",
+    "ax.imshow(imports_sorted_cols.to_numpy().T, cmap=cmap)\n",
+    "plt.xticks(range(imports_sorted_cols.index.size), labels=imports_sorted_cols.index.values, rotation=90);\n",
+    "plt.yticks(range(imports_sorted_cols.columns.size), labels=imports_sorted_cols.columns.values);\n",
+    "\n",
+    "ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))\n",
+    "ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))\n",
+    "ax.grid(which='minor', axis='both', linestyle='-', color='silver', linewidth=1.5);\n",
+    "plt.savefig('imports_sorted.png');"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "id": "684eb890-3729-4d68-a862-798c9ca152ce",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'3.4.2'"
+      ]
+     },
+     "execution_count": 82,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import matplotlib as mpl\n",
+    "mpl.__version__"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0c6ccc03-f87d-437f-aecf-e6cf1fcd0698",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "jupytext": {
+   "formats": "ipynb,md"
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/profiling/modules.md b/profiling/modules.md
new file mode 100644
index 0000000..7af56ce
--- /dev/null
+++ b/profiling/modules.md
@@ -0,0 +1,232 @@
+---
+jupyter:
+  jupytext:
+    formats: ipynb,md
+    text_representation:
+      extension: .md
+      format_name: markdown
+      format_version: '1.3'
+      jupytext_version: 1.11.1
+  kernelspec:
+    display_name: Python 3 (ipykernel)
+    language: python
+    name: python3
+---
+
+```python
+import os, glob
+import collections
+import pandas as pd
+import numpy as np
+
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+%matplotlib inline
+```
+
+```python
+with open('../advent-of-code22.cabal') as f:
+    build_depends = [l for l in f.readlines() if 'build-depends' in l]
+build_depends
+```
+
+```python
+cabal_file = open('../advent-of-code22.cabal').read()
+executables = cabal_file.split('executable')[2:]
+executables[:3]
+```
+
+```python
+e = executables[1]
+e.strip().split('build-depends: ')[1].split(',')
+```
+
+```python
+def extract(line):
+    parts = line.strip().split('build-depends: ')
+    name = parts[0].split()[0]
+    if len(parts) > 1:
+        depends = [p.strip() for p in parts[1].split('\n')[0].split(',') if 'base' not in p]
+    else:
+        depends = []
+    return name, depends       
+```
+
+```python
+modules = {e: ms for e, ms in [extract(e) for e in executables] if e.endswith(tuple(str(i) for i in range(10)))}
+modules
+```
+
+```python
+all_modules = set(m for p in modules for m in modules[p])
+modules_df = pd.DataFrame.from_dict({p: {m: m in modules[p] for m in sorted(all_modules)} for p in modules}, orient='index').sort_index()
+modules_df
+```
+
+```python
+print(modules_df.sum().sort_values(ascending=False).to_markdown())
+```
+
+```python tags=[]
+sorted_modules = modules_df.sum().sort_values(ascending=False).index.values
+sorted_modules
+```
+
+```python tags=[]
+modules_sorted_cols = modules_df[sorted_modules]
+modules_sorted_cols
+```
+
+```python
+modules_scatter = modules_df.stack().reset_index()
+modules_scatter.columns = ['program', 'module', 'present']
+modules_scatter = modules_scatter[modules_scatter.present]
+modules_scatter
+```
+
+```python tags=[]
+modules_scatter.plot.scatter(x='program', y='module', s=80, rot=45, figsize=(10, 6))
+```
+
+```python
+cmap = mpl.colors.ListedColormap(['white', 'blue'])
+
+fig, ax = plt.subplots(figsize=(10, 10))
+ax.imshow(modules_df.to_numpy().T, cmap=cmap)
+plt.xticks(range(modules_df.index.size), labels=modules_df.index.values, rotation=90);
+plt.yticks(range(modules_df.columns.size), labels=modules_df.columns.values);
+
+ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))
+ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))
+ax.grid(which='minor', axis='both', linestyle='-', color='silver', linewidth=1.5);
+plt.savefig('packages.png');
+```
+
+```python
+cmap = mpl.colors.ListedColormap(['white', 'blue'])
+
+fig, ax = plt.subplots(figsize=(10, 10))
+ax.imshow(modules_sorted_cols.to_numpy().T, cmap=cmap)
+plt.xticks(range(modules_sorted_cols.index.size), labels=modules_sorted_cols.index.values, rotation=90);
+plt.yticks(range(modules_sorted_cols.columns.size), labels=modules_sorted_cols.columns.values);
+
+ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))
+ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))
+ax.grid(which='minor', axis='both', linestyle='-', color='silver', linewidth=1.5);
+plt.savefig('packages_sorted.png');
+```
+
+```python
+mains = list(sorted(f for f in glob.glob('../advent*/Main.hs')))
+mains
+```
+
+```python
+main_imports = {}
+
+for m in mains:
+    with open(m) as f:
+        lines = f.readlines()
+        import_lines = [l for l in lines if l.strip().startswith('import') if 'Debug.Trace' not in l]
+        imports = []
+        for i in import_lines:
+            words = i.strip().split()
+            if 'qualified' in i:
+                imports.append((words[2], True))
+            else:
+                imports.append((words[1], False))
+    main_imports[m.split('/')[1]] = imports
+
+main_imports
+```
+
+```python
+import_counts = collections.Counter(l for ls in main_imports.values() for l in ls)
+import_counts.most_common()
+```
+
+```python
+main_imports_unqualified = {m: set(i[0] for i in main_imports[m]) for m in main_imports}
+main_imports_unqualified
+```
+
+```python
+import_counts_unqualified = collections.Counter(l for ls in main_imports_unqualified.values() for l in ls)
+import_counts_unqualified.most_common()
+```
+
+```python
+all_imports = set(m for p in main_imports_unqualified for m in main_imports_unqualified[p])
+imports_df = pd.DataFrame.from_dict(
+    {p: {m: m in main_imports_unqualified[p] 
+         for m in sorted(all_imports)} 
+     for p in main_imports_unqualified}, 
+    orient='index').sort_index()
+imports_df
+```
+
+```python
+print(imports_df.sum().sort_values(ascending=False).to_markdown())
+```
+
+```python
+imports_scatter = imports_df.stack().reset_index()
+imports_scatter.columns = ['program', 'module', 'present']
+imports_scatter = imports_scatter[imports_scatter.present]
+imports_scatter
+```
+
+```python tags=[]
+imports_scatter.plot.scatter(x='program', y='module', s=80, rot=45, figsize=(10, 10))
+```
+
+```python
+imports_df.columns.size
+```
+
+```python tags=[]
+sorted_imports = imports_df.sum().sort_values(ascending=False).index.values
+sorted_imports
+```
+
+```python tags=[]
+imports_sorted_cols = imports_df[sorted_imports]
+imports_sorted_cols
+```
+
+```python
+cmap = mpl.colors.ListedColormap(['white', 'blue'])
+
+fig, ax = plt.subplots(figsize=(10, 10))
+ax.imshow(imports_df.to_numpy().T, cmap=cmap)
+plt.xticks(range(imports_df.index.size), labels=imports_df.index.values, rotation=90);
+plt.yticks(range(imports_df.columns.size), labels=imports_df.columns.values);
+
+ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))
+ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))
+ax.grid(which='minor', axis='both', linestyle='-', color='silver', linewidth=1.5);
+plt.savefig('imports.png');
+```
+
+```python
+cmap = mpl.colors.ListedColormap(['white', 'blue'])
+
+fig, ax = plt.subplots(figsize=(10, 10))
+ax.imshow(imports_sorted_cols.to_numpy().T, cmap=cmap)
+plt.xticks(range(imports_sorted_cols.index.size), labels=imports_sorted_cols.index.values, rotation=90);
+plt.yticks(range(imports_sorted_cols.columns.size), labels=imports_sorted_cols.columns.values);
+
+ax.xaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))
+ax.yaxis.set_minor_locator(mpl.ticker.MultipleLocator(0.5))
+ax.grid(which='minor', axis='both', linestyle='-', color='silver', linewidth=1.5);
+plt.savefig('imports_sorted.png');
+```
+
+```python
+import matplotlib as mpl
+mpl.__version__
+```
+
+```python
+
+```
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diff --git a/profiling/performance.csv b/profiling/performance.csv
new file mode 100644
index 0000000..92bd582
--- /dev/null
+++ b/profiling/performance.csv
@@ -0,0 +1,26 @@
+program,total_alloc,memory,elapsed
+advent01,11516576,10488,0.02
+advent02,9613016,11112,0.02
+advent03,6018112,10408,0.02
+advent04,2913824,9040,0.01
+advent05,3396888,9324,0.01
+advent06,5025888,10124,0.02
+advent07,3049136,9192,0.01
+advent08,214597512,12204,0.09
+advent09,39708256,23660,0.06
+advent10,631808,6800,0.01
+advent11,655812832,66664,0.36
+advent12,1598902400,13264,1.09
+advent13,10281760,12300,0.01
+advent14,258169680,15068,0.85
+advent15,126607950592,18101260,137.27
+advent16,296137053800,45628,144.64
+advent17,77649009464,22000,20.67
+advent18,68244096,14060,0.06
+advent19,1964531122296,14295324,1134.12
+advent20,55860434768,13940,15.04
+advent21,351135824,12680,0.4
+advent22,528445105288,15908,0.23
+advent23,26387446504,13628,370.18
+advent24,3268072336,74820,2.74
+advent25,642496,5896,0.01
diff --git a/profiling/performance.md b/profiling/performance.md
new file mode 100644
index 0000000..d224b26
--- /dev/null
+++ b/profiling/performance.md
@@ -0,0 +1,27 @@
+| Program  | Total allocations | Max memory | Time |
+|----------|------------------:|-----------:|-----:|
+| advent01 | 107029176 | 72440 | 0.04 |
+| advent02 | 35370072 | 72440 | 0.06 |
+| advent03 | 4017640 | 72504 | 0.02 |
+| advent04 | 60820368 | 72504 | 0.08 |
+| advent05 | 27810256 | 72440 | 0.08 |
+| advent06 | 11624856 | 72504 | 0.06 |
+| advent07 | 21605440 | 72444 | 0.04 |
+| advent08 | 74894192 | 72508 | 0.09 |
+| advent09 | 793279616 | 72508 | 0.31 |
+| advent10 | 924456 | 72444 | 0.01 |
+| advent11 | 35282262592 | 72504 | 16.4 |
+| advent12 | 2206400 | 72508 | 0.03 |
+| advent13 | 542152 | 72436 | 0.01 |
+| advent14 | 259113488 | 72508 | 0.26 |
+| advent15 | 6662932672 | 240372 | 1.80 |
+| advent16 | 17242880 | 72444 | 0.03 |
+| advent17 | 4808712520 | 72444 | 1.42 |
+| advent18 | 21509984 | 72444 | 0.04 |
+| advent19 | 44456496 | 72504 | 0.11 |
+| advent20 | 3860804096 | 72436 | 3.77 |
+| advent21 | 9561880 | 72508 | 0.04 |
+| advent22 | 3242847728 | 72500 | 1.67 |
+| advent23 | 10263690000 | 95500 | 1.56 |
+| advent24 | 4352105528 | 72504 | 3.13 |
+| advent25 | 39231576 | 72504 | 0.06 |
diff --git a/profiling/profiling.ipynb b/profiling/profiling.ipynb
new file mode 100644
index 0000000..142d6de
--- /dev/null
+++ b/profiling/profiling.ipynb
@@ -0,0 +1,4081 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 201,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [],
+   "source": [
+    "import glob\n",
+    "import json\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import datetime\n",
+    "import re\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "! cd .. && cabal install"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "Collapsed": "false",
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - split-0.2.3.5 (lib) (requires build)\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent01)  --enable-profiling (configuration changed)\n",
+      "Starting     split-0.2.3.5 (lib)\n",
+      "Building     split-0.2.3.5 (lib)\n",
+      "Installing   split-0.2.3.5 (lib)\n",
+      "Completed    split-0.2.3.5 (lib)\n",
+      "Configuring executable 'advent01' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent01' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent01' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent01/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent01/build/advent01/advent01-tmp/Main.dyn_o ) [Data.List.Split changed]\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent01/build/advent01/advent01-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent01/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent01/build/advent01/advent01-tmp/Main.p_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent01/build/advent01/advent01 ...\n",
+      "66719\n",
+      "198551\n",
+      "      19,449,616 bytes allocated in the heap\n",
+      "       1,325,784 bytes copied during GC\n",
+      "         408,784 bytes maximum residency (2 sample(s))\n",
+      "         144,176 bytes maximum slop\n",
+      "              63 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0         3 colls,     3 par    0.002s   0.001s     0.0003s    0.0003s\n",
+      "  Gen  1         2 colls,     1 par    0.002s   0.001s     0.0004s    0.0005s\n",
+      "\n",
+      "  Parallel GC work balance: 29.84% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.002s elapsed)\n",
+      "  MUT     time    0.013s  (  0.012s elapsed)\n",
+      "  GC      time    0.004s  (  0.002s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.000s  (  0.000s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.023s  (  0.017s elapsed)\n",
+      "\n",
+      "  Alloc rate    1,512,211,092 bytes per MUT second\n",
+      "\n",
+      "  Productivity  56.0% of total user, 69.2% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - attoparsec-0.14.4 (lib:attoparsec-internal) (requires build)\n",
+      " - attoparsec-0.14.4 (lib) (requires build)\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent02)  --enable-profiling (configuration changed)\n",
+      "Starting     attoparsec-0.14.4 (lib:attoparsec-internal)\n",
+      "Building     attoparsec-0.14.4 (lib:attoparsec-internal)\n",
+      "Installing   attoparsec-0.14.4 (lib:attoparsec-internal)\n",
+      "Completed    attoparsec-0.14.4 (lib:attoparsec-internal)\n",
+      "Starting     attoparsec-0.14.4 (lib)\n",
+      "Building     attoparsec-0.14.4 (lib)\n",
+      "Installing   attoparsec-0.14.4 (lib)\n",
+      "Completed    attoparsec-0.14.4 (lib)\n",
+      "Configuring executable 'advent02' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent02' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent02' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent02/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent02/build/advent02/advent02-tmp/Main.dyn_o ) [Data.Attoparsec.Text changed]\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:55:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      match1P :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                   Data.Text.Internal.Text [Round]\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m55 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmatch1P\u001b[0m\u001b[0m = roundP `sepBy` endOfLine\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:56:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      roundP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                  Data.Text.Internal.Text Round\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m56 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mroundP\u001b[0m\u001b[0m = Round <$> p1ShapeP <*> (\" \" *> p2ShapeP)\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:58:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      match2P :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                   Data.Text.Internal.Text [ShapeResult]\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m58 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmatch2P\u001b[0m\u001b[0m = shapeResultP `sepBy` endOfLine\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:59:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      shapeResultP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                        Data.Text.Internal.Text ShapeResult\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m59 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mshapeResultP\u001b[0m\u001b[0m = ShapeResult <$> p1ShapeP <*> (\" \" *> resultP)\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:61:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      p1ShapeP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                    Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m61 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mp1ShapeP\u001b[0m\u001b[0m = aP <|> bP <|> cP\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:62:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      aP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m62 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35maP\u001b[0m\u001b[0m = Rock <$ \"A\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:63:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      bP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m63 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mbP\u001b[0m\u001b[0m = Paper <$ \"B\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:64:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      cP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m64 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mcP\u001b[0m\u001b[0m = Scissors <$ \"C\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:66:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      p2ShapeP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                    Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m66 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mp2ShapeP\u001b[0m\u001b[0m = xP <|> yP <|> zP\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:67:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      xP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m67 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mxP\u001b[0m\u001b[0m = Rock <$ \"X\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:68:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      yP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m68 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35myP\u001b[0m\u001b[0m = Paper <$ \"Y\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:69:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      zP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m69 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mzP\u001b[0m\u001b[0m = Scissors <$ \"Z\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:71:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      resultP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                   Data.Text.Internal.Text Result\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m71 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mresultP\u001b[0m\u001b[0m = xrP <|> yrP <|> zrP\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:72:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      xrP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "               Data.Text.Internal.Text Result\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m72 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mxrP\u001b[0m\u001b[0m = Loss <$ \"X\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:73:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      yrP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "               Data.Text.Internal.Text Result\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m73 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35myrP\u001b[0m\u001b[0m = Draw <$ \"Y\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:74:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      zrP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "               Data.Text.Internal.Text Result\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m74 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mzrP\u001b[0m\u001b[0m = Win <$ \"Z\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:77:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      successfulParse1 :: Data.Text.Internal.Text -> [Round]\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m77 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35msuccessfulParse1\u001b[0m\u001b[0m input = \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:80:11: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘match’ shadows the existing binding\n",
+      "      imported from ‘Data.Attoparsec.Text’ at advent02/Main.hs:6:1-43\n",
+      "      (and originally defined in ‘attoparsec-0.14.4-6c5af65faab69e2a5d91c97faaf49696df50d10719db2c6a1db14bb260536cd8:Data.Attoparsec.Text.Internal’)\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m80 |\u001b[0m\u001b[0m     Right \u001b[;1m\u001b[35mmatch\u001b[0m\u001b[0m -> match\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m           ^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:82:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      successfulParse2 :: Data.Text.Internal.Text -> [ShapeResult]\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m82 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35msuccessfulParse2\u001b[0m\u001b[0m input = \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:85:11: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘match’ shadows the existing binding\n",
+      "      imported from ‘Data.Attoparsec.Text’ at advent02/Main.hs:6:1-43\n",
+      "      (and originally defined in ‘attoparsec-0.14.4-6c5af65faab69e2a5d91c97faaf49696df50d10719db2c6a1db14bb260536cd8:Data.Attoparsec.Text.Internal’)\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m85 |\u001b[0m\u001b[0m     Right \u001b[;1m\u001b[35mmatch\u001b[0m\u001b[0m -> match\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m           ^^^^^\u001b[0m\u001b[0m\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent02/build/advent02/advent02-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent02/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent02/build/advent02/advent02-tmp/Main.p_o )\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:55:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      match1P :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                   Data.Text.Internal.Text [Round]\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m55 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmatch1P\u001b[0m\u001b[0m = roundP `sepBy` endOfLine\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:56:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      roundP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                  Data.Text.Internal.Text Round\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m56 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mroundP\u001b[0m\u001b[0m = Round <$> p1ShapeP <*> (\" \" *> p2ShapeP)\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:58:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      match2P :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                   Data.Text.Internal.Text [ShapeResult]\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m58 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmatch2P\u001b[0m\u001b[0m = shapeResultP `sepBy` endOfLine\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:59:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      shapeResultP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                        Data.Text.Internal.Text ShapeResult\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m59 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mshapeResultP\u001b[0m\u001b[0m = ShapeResult <$> p1ShapeP <*> (\" \" *> resultP)\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:61:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      p1ShapeP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                    Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m61 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mp1ShapeP\u001b[0m\u001b[0m = aP <|> bP <|> cP\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:62:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      aP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m62 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35maP\u001b[0m\u001b[0m = Rock <$ \"A\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:63:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      bP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m63 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mbP\u001b[0m\u001b[0m = Paper <$ \"B\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:64:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      cP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m64 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mcP\u001b[0m\u001b[0m = Scissors <$ \"C\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:66:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      p2ShapeP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                    Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m66 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mp2ShapeP\u001b[0m\u001b[0m = xP <|> yP <|> zP\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:67:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      xP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m67 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mxP\u001b[0m\u001b[0m = Rock <$ \"X\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:68:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      yP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m68 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35myP\u001b[0m\u001b[0m = Paper <$ \"Y\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:69:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      zP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "              Data.Text.Internal.Text Shape\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m69 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mzP\u001b[0m\u001b[0m = Scissors <$ \"Z\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:71:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      resultP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "                   Data.Text.Internal.Text Result\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m71 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mresultP\u001b[0m\u001b[0m = xrP <|> yrP <|> zrP\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:72:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      xrP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "               Data.Text.Internal.Text Result\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m72 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mxrP\u001b[0m\u001b[0m = Loss <$ \"X\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:73:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      yrP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "               Data.Text.Internal.Text Result\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m73 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35myrP\u001b[0m\u001b[0m = Draw <$ \"Y\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:74:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      zrP :: Data.Attoparsec.Internal.Types.Parser\n",
+      "               Data.Text.Internal.Text Result\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m74 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mzrP\u001b[0m\u001b[0m = Win <$ \"Z\"\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:77:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      successfulParse1 :: Data.Text.Internal.Text -> [Round]\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m77 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35msuccessfulParse1\u001b[0m\u001b[0m input = \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:80:11: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘match’ shadows the existing binding\n",
+      "      imported from ‘Data.Attoparsec.Text’ at advent02/Main.hs:6:1-43\n",
+      "      (and originally defined in ‘attoparsec-0.14.4-6c5af65faab69e2a5d91c97faaf49696df50d10719db2c6a1db14bb260536cd8:Data.Attoparsec.Text.Internal’)\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m80 |\u001b[0m\u001b[0m     Right \u001b[;1m\u001b[35mmatch\u001b[0m\u001b[0m -> match\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m           ^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:82:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wmissing-signatures\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Top-level binding with no type signature:\n",
+      "      successfulParse2 :: Data.Text.Internal.Text -> [ShapeResult]\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m82 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35msuccessfulParse2\u001b[0m\u001b[0m input = \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent02/Main.hs:85:11: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘match’ shadows the existing binding\n",
+      "      imported from ‘Data.Attoparsec.Text’ at advent02/Main.hs:6:1-43\n",
+      "      (and originally defined in ‘attoparsec-0.14.4-6c5af65faab69e2a5d91c97faaf49696df50d10719db2c6a1db14bb260536cd8:Data.Attoparsec.Text.Internal’)\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m85 |\u001b[0m\u001b[0m     Right \u001b[;1m\u001b[35mmatch\u001b[0m\u001b[0m -> match\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m           ^^^^^\u001b[0m\u001b[0m\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent02/build/advent02/advent02 ...\n",
+      "13009\n",
+      "10398\n",
+      "      15,142,040 bytes allocated in the heap\n",
+      "       1,016,576 bytes copied during GC\n",
+      "         294,736 bytes maximum residency (2 sample(s))\n",
+      "         143,536 bytes maximum slop\n",
+      "              63 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0         2 colls,     2 par    0.001s   0.001s     0.0004s    0.0004s\n",
+      "  Gen  1         2 colls,     1 par    0.002s   0.001s     0.0003s    0.0003s\n",
+      "\n",
+      "  Parallel GC work balance: 31.81% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.002s elapsed)\n",
+      "  MUT     time    0.014s  (  0.013s elapsed)\n",
+      "  GC      time    0.003s  (  0.001s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.000s  (  0.000s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.023s  (  0.017s elapsed)\n",
+      "\n",
+      "  Alloc rate    1,119,000,702 bytes per MUT second\n",
+      "\n",
+      "  Productivity  59.2% of total user, 73.6% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent03)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent03' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent03' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent03' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent03/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent03/build/advent03/advent03-tmp/Main.dyn_o ) [Data.List.Split changed]\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent03/build/advent03/advent03-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent03/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent03/build/advent03/advent03-tmp/Main.p_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent03/build/advent03/advent03 ...\n",
+      "7727\n",
+      "2609\n",
+      "       9,004,224 bytes allocated in the heap\n",
+      "         886,400 bytes copied during GC\n",
+      "         214,088 bytes maximum residency (1 sample(s))\n",
+      "         121,784 bytes maximum slop\n",
+      "              62 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0         2 colls,     2 par    0.002s   0.001s     0.0006s    0.0010s\n",
+      "  Gen  1         1 colls,     0 par    0.000s   0.000s     0.0003s    0.0003s\n",
+      "\n",
+      "  Parallel GC work balance: 24.28% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.002s elapsed)\n",
+      "  MUT     time    0.007s  (  0.006s elapsed)\n",
+      "  GC      time    0.002s  (  0.002s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.000s  (  0.000s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.015s  (  0.011s elapsed)\n",
+      "\n",
+      "  Alloc rate    1,362,247,646 bytes per MUT second\n",
+      "\n",
+      "  Productivity  43.5% of total user, 54.5% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent04)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent04' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent04' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent04' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent04/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent04/build/advent04/advent04-tmp/Main.dyn_o ) [Data.Attoparsec.Text changed]\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent04/build/advent04/advent04-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent04/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent04/build/advent04/advent04-tmp/Main.p_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent04/build/advent04/advent04 ...\n",
+      "513\n",
+      "878\n",
+      "       4,443,080 bytes allocated in the heap\n",
+      "         164,040 bytes copied during GC\n",
+      "         223,280 bytes maximum residency (1 sample(s))\n",
+      "         124,880 bytes maximum slop\n",
+      "              62 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0         0 colls,     0 par    0.000s   0.000s     0.0000s    0.0000s\n",
+      "  Gen  1         1 colls,     0 par    0.000s   0.000s     0.0003s    0.0003s\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.005s  (  0.003s elapsed)\n",
+      "  MUT     time    0.005s  (  0.005s elapsed)\n",
+      "  GC      time    0.000s  (  0.000s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.000s  (  0.000s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.013s  (  0.009s elapsed)\n",
+      "\n",
+      "  Alloc rate    853,932,014 bytes per MUT second\n",
+      "\n",
+      "  Productivity  40.5% of total user, 54.6% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent05)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent05' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent05' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent05' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent05/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent05/build/advent05/advent05-tmp/Main.dyn_o ) [Data.Attoparsec.Text changed]\n",
+      "\n",
+      "\u001b[;1madvent05/Main.hs:54:9: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wincomplete-uni-patterns\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Pattern match(es) are non-exhaustive\n",
+      "    In a pattern binding: Patterns of type ‘[Crate]’ not matched: []\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m54 |\u001b[0m\u001b[0m   where \u001b[;1m\u001b[35m(c:origin) = wharf!from\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m         ^^^^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent05/build/advent05/advent05-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent05/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent05/build/advent05/advent05-tmp/Main.p_o )\n",
+      "\n",
+      "\u001b[;1madvent05/Main.hs:54:9: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wincomplete-uni-patterns\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Pattern match(es) are non-exhaustive\n",
+      "    In a pattern binding: Patterns of type ‘[Crate]’ not matched: []\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m54 |\u001b[0m\u001b[0m   where \u001b[;1m\u001b[35m(c:origin) = wharf!from\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m         ^^^^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent05/build/advent05/advent05 ...\n",
+      "TGWSMRBPN\n",
+      "TZLTLWRNF\n",
+      "       5,094,344 bytes allocated in the heap\n",
+      "         425,056 bytes copied during GC\n",
+      "         214,088 bytes maximum residency (1 sample(s))\n",
+      "         125,880 bytes maximum slop\n",
+      "              62 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0         1 colls,     1 par    0.001s   0.000s     0.0003s    0.0003s\n",
+      "  Gen  1         1 colls,     0 par    0.000s   0.000s     0.0003s    0.0003s\n",
+      "\n",
+      "  Parallel GC work balance: 49.39% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.002s elapsed)\n",
+      "  MUT     time    0.005s  (  0.004s elapsed)\n",
+      "  GC      time    0.001s  (  0.001s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.000s  (  0.000s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.012s  (  0.008s elapsed)\n",
+      "\n",
+      "  Alloc rate    1,061,113,423 bytes per MUT second\n",
+      "\n",
+      "  Productivity  40.8% of total user, 53.4% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent06)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent06' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent06' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent06' for advent-of-code22-0.1.0.0..\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent06/build/advent06/advent06-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent06/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent06/build/advent06/advent06-tmp/Main.p_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent06/build/advent06/advent06 ...\n",
+      "1080\n",
+      "3645\n",
+      "       7,728,352 bytes allocated in the heap\n",
+      "         340,432 bytes copied during GC\n",
+      "         231,824 bytes maximum residency (1 sample(s))\n",
+      "         132,720 bytes maximum slop\n",
+      "              61 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0         1 colls,     1 par    0.001s   0.000s     0.0002s    0.0002s\n",
+      "  Gen  1         1 colls,     0 par    0.000s   0.000s     0.0003s    0.0003s\n",
+      "\n",
+      "  Parallel GC work balance: 57.64% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.003s elapsed)\n",
+      "  MUT     time    0.004s  (  0.004s elapsed)\n",
+      "  GC      time    0.001s  (  0.000s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.000s  (  0.000s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.012s  (  0.008s elapsed)\n",
+      "\n",
+      "  Alloc rate    1,749,470,406 bytes per MUT second\n",
+      "\n",
+      "  Productivity  37.0% of total user, 50.2% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - rosezipper-0.2 (lib:rosezipper) (requires build)\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent07)  --enable-profiling (configuration changed)\n",
+      "Starting     rosezipper-0.2 (all, legacy fallback)\n",
+      "Building     rosezipper-0.2 (all, legacy fallback)\n",
+      "Installing   rosezipper-0.2 (all, legacy fallback)\n",
+      "Completed    rosezipper-0.2 (all, legacy fallback)\n",
+      "Configuring executable 'advent07' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent07' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent07' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent07/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent07/build/advent07/advent07-tmp/Main.dyn_o )\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent07/build/advent07/advent07-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent07/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent07/build/advent07/advent07-tmp/Main.p_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent07/build/advent07/advent07 ...\n",
+      "1084134\n",
+      "6183184\n",
+      "       4,838,856 bytes allocated in the heap\n",
+      "         510,704 bytes copied during GC\n",
+      "         214,088 bytes maximum residency (1 sample(s))\n",
+      "         125,880 bytes maximum slop\n",
+      "              63 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0         1 colls,     1 par    0.001s   0.000s     0.0005s    0.0005s\n",
+      "  Gen  1         1 colls,     0 par    0.000s   0.000s     0.0004s    0.0004s\n",
+      "\n",
+      "  Parallel GC work balance: 41.61% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.002s elapsed)\n",
+      "  MUT     time    0.006s  (  0.006s elapsed)\n",
+      "  GC      time    0.001s  (  0.001s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.000s  (  0.000s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.013s  (  0.010s elapsed)\n",
+      "\n",
+      "  Alloc rate    792,510,382 bytes per MUT second\n",
+      "\n",
+      "  Productivity  45.7% of total user, 56.1% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent08)  --enable-profiling (first run)\n",
+      "Configuring executable 'advent08' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent08' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent08' for advent-of-code22-0.1.0.0..\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent08/build/advent08/advent08-tmp/AoC.dyn_o )\n",
+      "[2 of 2] Compiling Main             ( advent08/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent08/build/advent08/advent08-tmp/Main.dyn_o )\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent08/build/advent08/advent08-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent08/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent08/build/advent08/advent08-tmp/Main.p_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent08/build/advent08/advent08 ...\n",
+      "1823\n",
+      "211680\n",
+      "     351,652,392 bytes allocated in the heap\n",
+      "      11,062,736 bytes copied during GC\n",
+      "       1,485,704 bytes maximum residency (6 sample(s))\n",
+      "         138,792 bytes maximum slop\n",
+      "              63 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0        80 colls,    80 par    0.077s   0.025s     0.0003s    0.0069s\n",
+      "  Gen  1         6 colls,     5 par    0.016s   0.004s     0.0007s    0.0013s\n",
+      "\n",
+      "  Parallel GC work balance: 45.01% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.005s  (  0.003s elapsed)\n",
+      "  MUT     time    0.174s  (  0.164s elapsed)\n",
+      "  GC      time    0.092s  (  0.029s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.001s  (  0.001s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.273s  (  0.197s elapsed)\n",
+      "\n",
+      "  Alloc rate    2,024,427,305 bytes per MUT second\n",
+      "\n",
+      "  Productivity  63.9% of total user, 83.3% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent09)  --enable-profiling (first run)\n",
+      "Configuring executable 'advent09' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent09' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent09' for advent-of-code22-0.1.0.0..\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent09/build/advent09/advent09-tmp/AoC.dyn_o )\n",
+      "[2 of 2] Compiling Main             ( advent09/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent09/build/advent09/advent09-tmp/Main.dyn_o )\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent09/build/advent09/advent09-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent09/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent09/build/advent09/advent09-tmp/Main.p_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent09/build/advent09/advent09 ...\n",
+      "6243\n",
+      "2630\n",
+      "      59,497,800 bytes allocated in the heap\n",
+      "      40,326,560 bytes copied during GC\n",
+      "       8,220,544 bytes maximum residency (6 sample(s))\n",
+      "       2,878,880 bytes maximum slop\n",
+      "              77 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0         7 colls,     7 par    0.029s   0.027s     0.0038s    0.0066s\n",
+      "  Gen  1         6 colls,     5 par    0.054s   0.037s     0.0061s    0.0125s\n",
+      "\n",
+      "  Parallel GC work balance: 7.47% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.002s elapsed)\n",
+      "  MUT     time    0.041s  (  0.039s elapsed)\n",
+      "  GC      time    0.083s  (  0.063s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.000s  (  0.000s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.131s  (  0.105s elapsed)\n",
+      "\n",
+      "  Alloc rate    1,443,718,624 bytes per MUT second\n",
+      "\n",
+      "  Productivity  31.6% of total user, 36.9% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent10)  --enable-profiling (first run)\n",
+      "Configuring executable 'advent10' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent10' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent10' for advent-of-code22-0.1.0.0..\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent10/build/advent10/advent10-tmp/AoC.dyn_o )\n",
+      "[2 of 2] Compiling Main             ( advent10/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent10/build/advent10/advent10-tmp/Main.dyn_o )\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent10/build/advent10/advent10-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent10/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent10/build/advent10/advent10-tmp/Main.p_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent10/build/advent10/advent10 ...\n",
+      "15140\n",
+      "███  ███    ██  ██  ████  ██   ██  ███  \n",
+      "█  █ █  █    █ █  █    █ █  █ █  █ █  █ \n",
+      "███  █  █    █ █  █   █  █    █  █ █  █ \n",
+      "█  █ ███     █ ████  █   █ ██ ████ ███  \n",
+      "█  █ █    █  █ █  █ █    █  █ █  █ █    \n",
+      "███  █     ██  █  █ ████  ███ █  █ █    \n",
+      " \n",
+      "\n",
+      "         900,472 bytes allocated in the heap\n",
+      "         164,040 bytes copied during GC\n",
+      "         223,280 bytes maximum residency (1 sample(s))\n",
+      "         124,880 bytes maximum slop\n",
+      "              62 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0         0 colls,     0 par    0.000s   0.000s     0.0000s    0.0000s\n",
+      "  Gen  1         1 colls,     0 par    0.000s   0.000s     0.0005s    0.0005s\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.002s elapsed)\n",
+      "  MUT     time    0.001s  (  0.001s elapsed)\n",
+      "  GC      time    0.000s  (  0.000s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.000s  (  0.000s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.008s  (  0.005s elapsed)\n",
+      "\n",
+      "  Alloc rate    680,385,621 bytes per MUT second\n",
+      "\n",
+      "  Productivity  16.9% of total user, 23.5% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent11)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent11' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent11' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent11' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent11/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent11/build/advent11/advent11-tmp/Main.dyn_o )\n",
+      "\n",
+      "\u001b[;1madvent11/Main.hs:89:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wincomplete-patterns\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Pattern match(es) are non-exhaustive\n",
+      "    In an equation for ‘updateWorry’:\n",
+      "        Patterns of type ‘Int’, ‘Expression’, ‘Int -> Int’ not matched:\n",
+      "            _ (Expression Plus (Literal _)) _\n",
+      "            _ (Expression Plus Old) _\n",
+      "            _ (Expression Times (Literal _)) _\n",
+      "            _ (Expression Times Old) _\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m89 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mupdateWorry current (Expression operator operand) threshold\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^...\u001b[0m\u001b[0m\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent11/build/advent11/advent11-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent11/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent11/build/advent11/advent11-tmp/Main.p_o )\n",
+      "\n",
+      "\u001b[;1madvent11/Main.hs:89:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wincomplete-patterns\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Pattern match(es) are non-exhaustive\n",
+      "    In an equation for ‘updateWorry’:\n",
+      "        Patterns of type ‘Int’, ‘Expression’, ‘Int -> Int’ not matched:\n",
+      "            _ (Expression Plus (Literal _)) _\n",
+      "            _ (Expression Plus Old) _\n",
+      "            _ (Expression Times (Literal _)) _\n",
+      "            _ (Expression Times Old) _\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m89 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mupdateWorry current (Expression operator operand) threshold\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^...\u001b[0m\u001b[0m\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent11/build/advent11/advent11 ...\n",
+      "112815\n",
+      "25738411485\n",
+      "   1,017,483,040 bytes allocated in the heap\n",
+      "     383,219,896 bytes copied during GC\n",
+      "      59,332,752 bytes maximum residency (11 sample(s))\n",
+      "         748,528 bytes maximum slop\n",
+      "             179 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0       231 colls,   231 par    0.216s   0.175s     0.0008s    0.0086s\n",
+      "  Gen  1        11 colls,    10 par    0.733s   0.215s     0.0195s    0.0584s\n",
+      "\n",
+      "  Parallel GC work balance: 49.26% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.003s elapsed)\n",
+      "  MUT     time    0.508s  (  0.467s elapsed)\n",
+      "  GC      time    0.860s  (  0.301s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.089s  (  0.088s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    1.464s  (  0.860s elapsed)\n",
+      "\n",
+      "  Alloc rate    2,004,482,550 bytes per MUT second\n",
+      "\n",
+      "  Productivity  40.8% of total user, 64.5% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - pqueue-1.4.3.0 (lib) (requires build)\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent12)  --enable-profiling (configuration changed)\n",
+      "Starting     pqueue-1.4.3.0 (lib)\n",
+      "Building     pqueue-1.4.3.0 (lib)\n",
+      "Installing   pqueue-1.4.3.0 (lib)\n",
+      "Completed    pqueue-1.4.3.0 (lib)\n",
+      "Configuring executable 'advent12' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent12' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent12' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent12/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent12/build/advent12/advent12-tmp/Main.dyn_o )\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:29:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘goal’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m29 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmakeLenses ''Mountain\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:39:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘cost’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m39 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmakeLenses ''Agendum\u001b[0m\u001b[0m   \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:81:9: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘grid’ shadows the existing binding\n",
+      "      defined at advent12/Main.hs:29:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m81 |\u001b[0m\u001b[0m         \u001b[;1m\u001b[35mgrid\u001b[0m\u001b[0m = grid0 // [(s, mkCell 'a'), (g, mkCell 'z')]\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m         ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:123:8: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘grid’ shadows the existing binding\n",
+      "      defined at advent12/Main.hs:29:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m123 |\u001b[0m\u001b[0m        \u001b[;1m\u001b[35mgrid\u001b[0m\u001b[0m <- asks _grid\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m        ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:123:8: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-matches\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘grid’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m123 |\u001b[0m\u001b[0m        \u001b[;1m\u001b[35mgrid\u001b[0m\u001b[0m <- asks _grid\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m        ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:134:6: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘goal’ shadows the existing binding\n",
+      "      defined at advent12/Main.hs:29:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m134 |\u001b[0m\u001b[0m   do \u001b[;1m\u001b[35mgoal\u001b[0m\u001b[0m <- asks _goal\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m      ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:139:6: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘grid’ shadows the existing binding\n",
+      "      defined at advent12/Main.hs:29:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m139 |\u001b[0m\u001b[0m   do \u001b[;1m\u001b[35mgrid\u001b[0m\u001b[0m <- asks _grid\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m      ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:153:6: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘goal’ shadows the existing binding\n",
+      "      defined at advent12/Main.hs:29:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m153 |\u001b[0m\u001b[0m   do \u001b[;1m\u001b[35mgoal\u001b[0m\u001b[0m <- asks _goal\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m      ^^^^\u001b[0m\u001b[0m\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent12/build/advent12/advent12-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent12/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent12/build/advent12/advent12-tmp/Main.p_o )\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:29:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘goal’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m29 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmakeLenses ''Mountain\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:39:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘cost’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m39 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmakeLenses ''Agendum\u001b[0m\u001b[0m   \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:81:9: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘grid’ shadows the existing binding\n",
+      "      defined at advent12/Main.hs:29:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m81 |\u001b[0m\u001b[0m         \u001b[;1m\u001b[35mgrid\u001b[0m\u001b[0m = grid0 // [(s, mkCell 'a'), (g, mkCell 'z')]\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m         ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:123:8: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘grid’ shadows the existing binding\n",
+      "      defined at advent12/Main.hs:29:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m123 |\u001b[0m\u001b[0m        \u001b[;1m\u001b[35mgrid\u001b[0m\u001b[0m <- asks _grid\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m        ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:123:8: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-matches\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘grid’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m123 |\u001b[0m\u001b[0m        \u001b[;1m\u001b[35mgrid\u001b[0m\u001b[0m <- asks _grid\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m        ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:134:6: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘goal’ shadows the existing binding\n",
+      "      defined at advent12/Main.hs:29:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m134 |\u001b[0m\u001b[0m   do \u001b[;1m\u001b[35mgoal\u001b[0m\u001b[0m <- asks _goal\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m      ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:139:6: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘grid’ shadows the existing binding\n",
+      "      defined at advent12/Main.hs:29:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m139 |\u001b[0m\u001b[0m   do \u001b[;1m\u001b[35mgrid\u001b[0m\u001b[0m <- asks _grid\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m      ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent12/Main.hs:153:6: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘goal’ shadows the existing binding\n",
+      "      defined at advent12/Main.hs:29:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m153 |\u001b[0m\u001b[0m   do \u001b[;1m\u001b[35mgoal\u001b[0m\u001b[0m <- asks _goal\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m      ^^^^\u001b[0m\u001b[0m\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent12/build/advent12/advent12 ...\n",
+      "468\n",
+      "459\n",
+      "   2,329,680,024 bytes allocated in the heap\n",
+      "      94,728,104 bytes copied during GC\n",
+      "         849,440 bytes maximum residency (43 sample(s))\n",
+      "         186,352 bytes maximum slop\n",
+      "              62 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0       521 colls,   521 par    0.250s   0.156s     0.0003s    0.0014s\n",
+      "  Gen  1        43 colls,    42 par    0.086s   0.028s     0.0007s    0.0016s\n",
+      "\n",
+      "  Parallel GC work balance: 16.10% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.005s  (  0.003s elapsed)\n",
+      "  MUT     time    2.081s  (  1.966s elapsed)\n",
+      "  GC      time    0.331s  (  0.179s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.005s  (  0.005s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    2.423s  (  2.154s elapsed)\n",
+      "\n",
+      "  Alloc rate    1,119,659,454 bytes per MUT second\n",
+      "\n",
+      "  Productivity  86.0% of total user, 91.5% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent13)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent13' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent13' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent13' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent13/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent13/build/advent13/advent13-tmp/Main.dyn_o )\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent13/build/advent13/advent13-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent13/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent13/build/advent13/advent13-tmp/Main.p_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent13/build/advent13/advent13 ...\n",
+      "5675\n",
+      "20383\n",
+      "      15,983,552 bytes allocated in the heap\n",
+      "       2,677,272 bytes copied during GC\n",
+      "       1,145,232 bytes maximum residency (2 sample(s))\n",
+      "         136,816 bytes maximum slop\n",
+      "              64 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0         2 colls,     2 par    0.003s   0.002s     0.0011s    0.0011s\n",
+      "  Gen  1         2 colls,     1 par    0.004s   0.001s     0.0007s    0.0010s\n",
+      "\n",
+      "  Parallel GC work balance: 30.00% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.005s  (  0.003s elapsed)\n",
+      "  MUT     time    0.016s  (  0.016s elapsed)\n",
+      "  GC      time    0.007s  (  0.004s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.000s  (  0.000s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.030s  (  0.023s elapsed)\n",
+      "\n",
+      "  Alloc rate    975,509,592 bytes per MUT second\n",
+      "\n",
+      "  Productivity  55.1% of total user, 67.1% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent14)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent14' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent14' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent14' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent14/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent14/build/advent14/advent14-tmp/Main.dyn_o )\n",
+      "\n",
+      "\u001b[;1madvent14/Main.hs:7:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Control.Applicative’ is redundant\n",
+      "      except perhaps to import instances from ‘Control.Applicative’\n",
+      "    To import instances alone, use: import Control.Applicative()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m7 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Control.Applicative\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent14/build/advent14/advent14-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent14/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent14/build/advent14/advent14-tmp/Main.p_o )\n",
+      "\n",
+      "\u001b[;1madvent14/Main.hs:7:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Control.Applicative’ is redundant\n",
+      "      except perhaps to import instances from ‘Control.Applicative’\n",
+      "    To import instances alone, use: import Control.Applicative()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m7 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Control.Applicative\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent14/build/advent14/advent14 ...\n",
+      "644\n",
+      "27324\n",
+      "     474,666,344 bytes allocated in the heap\n",
+      "      44,189,776 bytes copied during GC\n",
+      "       3,669,176 bytes maximum residency (17 sample(s))\n",
+      "         160,312 bytes maximum slop\n",
+      "              66 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0        99 colls,    99 par    0.047s   0.027s     0.0003s    0.0009s\n",
+      "  Gen  1        17 colls,    16 par    0.080s   0.028s     0.0017s    0.0031s\n",
+      "\n",
+      "  Parallel GC work balance: 50.21% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.003s elapsed)\n",
+      "  MUT     time    1.617s  (  1.592s elapsed)\n",
+      "  GC      time    0.112s  (  0.040s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.015s  (  0.015s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    1.751s  (  1.650s elapsed)\n",
+      "\n",
+      "  Alloc rate    293,505,646 bytes per MUT second\n",
+      "\n",
+      "  Productivity  93.3% of total user, 97.4% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent15)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent15' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent15' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent15' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent15/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent15/build/advent15/advent15-tmp/Main.dyn_o )\n",
+      "\n",
+      "\u001b[;1madvent15/Main.hs:7:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Control.Applicative’ is redundant\n",
+      "      except perhaps to import instances from ‘Control.Applicative’\n",
+      "    To import instances alone, use: import Control.Applicative()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m7 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Control.Applicative\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent15/Main.hs:8:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Data.List’ is redundant\n",
+      "      except perhaps to import instances from ‘Data.List’\n",
+      "    To import instances alone, use: import Data.List()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m8 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Data.List\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent15/Main.hs:12:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Control.Lens’ is redundant\n",
+      "      except perhaps to import instances from ‘Control.Lens’\n",
+      "    To import instances alone, use: import Control.Lens()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m12 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Control.Lens\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent15/Main.hs:25:21: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-matches\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘p’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m25 |\u001b[0m\u001b[0m   mempty = Region (\\\u001b[;1m\u001b[35mp\u001b[0m\u001b[0m -> False)\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m                     ^\u001b[0m\u001b[0m\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent15/build/advent15/advent15-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent15/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent15/build/advent15/advent15-tmp/Main.p_o )\n",
+      "\n",
+      "\u001b[;1madvent15/Main.hs:7:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Control.Applicative’ is redundant\n",
+      "      except perhaps to import instances from ‘Control.Applicative’\n",
+      "    To import instances alone, use: import Control.Applicative()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m7 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Control.Applicative\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent15/Main.hs:8:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Data.List’ is redundant\n",
+      "      except perhaps to import instances from ‘Data.List’\n",
+      "    To import instances alone, use: import Data.List()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m8 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Data.List\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent15/Main.hs:12:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Control.Lens’ is redundant\n",
+      "      except perhaps to import instances from ‘Control.Lens’\n",
+      "    To import instances alone, use: import Control.Lens()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m12 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Control.Lens\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent15/Main.hs:25:21: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-matches\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘p’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m25 |\u001b[0m\u001b[0m   mempty = Region (\\\u001b[;1m\u001b[35mp\u001b[0m\u001b[0m -> False)\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m                     ^\u001b[0m\u001b[0m\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent15/build/advent15/advent15 ...\n",
+      "5147333\n",
+      "13734006908372\n",
+      " 189,084,295,488 bytes allocated in the heap\n",
+      "10,329,767,309,344 bytes copied during GC\n",
+      "  13,185,529,696 bytes maximum residency (1550 sample(s))\n",
+      "      64,387,232 bytes maximum slop\n",
+      "           25723 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0     44034 colls, 44034 par   69.955s  59.862s     0.0014s    0.0142s\n",
+      "  Gen  1      1550 colls,  1549 par   18709.588s  6375.071s     4.1129s    9.0665s\n",
+      "\n",
+      "  Parallel GC work balance: 91.17% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.005s  (  0.003s elapsed)\n",
+      "  MUT     time  257.456s  (161.075s elapsed)\n",
+      "  GC      time  14408.495s  (2094.011s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time  4371.048s  (4340.921s elapsed)\n",
+      "  EXIT    time    1.473s  (  0.001s elapsed)\n",
+      "  Total   time  19038.476s  (6596.011s elapsed)\n",
+      "\n",
+      "  Alloc rate    734,434,270 bytes per MUT second\n",
+      "\n",
+      "  Productivity  24.3% of total user, 68.3% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent16)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent16' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent16' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent16' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent16/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent16/build/advent16/advent16-tmp/Main.dyn_o )\n",
+      "\n",
+      "\u001b[;1madvent16/Main.hs:58:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘benefit’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m58 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmakeLenses ''Agendum\u001b[0m\u001b[0m   \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent16/build/advent16/advent16-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent16/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent16/build/advent16/advent16-tmp/Main.p_o )\n",
+      "\n",
+      "\u001b[;1madvent16/Main.hs:58:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘benefit’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m58 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmakeLenses ''Agendum\u001b[0m\u001b[0m   \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent16/build/advent16/advent16 ...\n",
+      "1792\n",
+      "2587\n",
+      " 436,836,396,688 bytes allocated in the heap\n",
+      "  48,620,803,928 bytes copied during GC\n",
+      "      20,171,424 bytes maximum residency (2171 sample(s))\n",
+      "         351,712 bytes maximum slop\n",
+      "              97 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0     103284 colls, 103284 par   56.327s  37.400s     0.0004s    0.0132s\n",
+      "  Gen  1      2171 colls,  2170 par   47.089s  15.604s     0.0072s    0.0351s\n",
+      "\n",
+      "  Parallel GC work balance: 31.48% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.002s elapsed)\n",
+      "  MUT     time  224.034s  (206.413s elapsed)\n",
+      "  GC      time   93.183s  ( 42.812s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time   10.234s  ( 10.192s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time  327.457s  (259.420s elapsed)\n",
+      "\n",
+      "  Alloc rate    1,949,862,696 bytes per MUT second\n",
+      "\n",
+      "  Productivity  71.5% of total user, 83.5% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent17)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent17' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent17' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent17' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent17/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent17/build/advent17/advent17-tmp/Main.dyn_o )\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:7:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The qualified import of ‘Data.Map.Strict’ is redundant\n",
+      "      except perhaps to import instances from ‘Data.Map.Strict’\n",
+      "    To import instances alone, use: import Data.Map.Strict()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m7 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport qualified Data.Map.Strict as M\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:70:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘simSome’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m70 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35msimSome\u001b[0m\u001b[0m oneJetCycle n = fromMaybe -1 $ maximumOf (folded . _y) (final ^. chamber)\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:74:10: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘rocks’ shadows the existing binding\n",
+      "      defined at advent17/Main.hs:22:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m74 |\u001b[0m\u001b[0m simulate \u001b[;1m\u001b[35mrocks\u001b[0m\u001b[0m jets n = (!!n) $ iterate dropFromTop initState\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m          ^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:74:16: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘jets’ shadows the existing binding\n",
+      "      defined at advent17/Main.hs:22:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m74 |\u001b[0m\u001b[0m simulate rocks \u001b[;1m\u001b[35mjets\u001b[0m\u001b[0m n = (!!n) $ iterate dropFromTop initState\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m                ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:96:6: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘chamber’ shadows the existing binding\n",
+      "      defined at advent17/Main.hs:22:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m96 |\u001b[0m\u001b[0m push \u001b[;1m\u001b[35mchamber\u001b[0m\u001b[0m rock direction \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m      ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:106:6: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘chamber’ shadows the existing binding\n",
+      "      defined at advent17/Main.hs:22:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m106 |\u001b[0m\u001b[0m fall \u001b[;1m\u001b[35mchamber\u001b[0m\u001b[0m rock \n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m      ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:143:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘showChamber’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m143 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mshowChamber\u001b[0m\u001b[0m chamber = unlines \n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:143:13: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘chamber’ shadows the existing binding\n",
+      "      defined at advent17/Main.hs:22:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m143 |\u001b[0m\u001b[0m showChamber \u001b[;1m\u001b[35mchamber\u001b[0m\u001b[0m = unlines \n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m             ^^^^^^^\u001b[0m\u001b[0m\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent17/build/advent17/advent17-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent17/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent17/build/advent17/advent17-tmp/Main.p_o )\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:7:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The qualified import of ‘Data.Map.Strict’ is redundant\n",
+      "      except perhaps to import instances from ‘Data.Map.Strict’\n",
+      "    To import instances alone, use: import Data.Map.Strict()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m7 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport qualified Data.Map.Strict as M\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:70:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘simSome’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m70 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35msimSome\u001b[0m\u001b[0m oneJetCycle n = fromMaybe -1 $ maximumOf (folded . _y) (final ^. chamber)\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:74:10: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘rocks’ shadows the existing binding\n",
+      "      defined at advent17/Main.hs:22:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m74 |\u001b[0m\u001b[0m simulate \u001b[;1m\u001b[35mrocks\u001b[0m\u001b[0m jets n = (!!n) $ iterate dropFromTop initState\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m          ^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:74:16: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘jets’ shadows the existing binding\n",
+      "      defined at advent17/Main.hs:22:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m74 |\u001b[0m\u001b[0m simulate rocks \u001b[;1m\u001b[35mjets\u001b[0m\u001b[0m n = (!!n) $ iterate dropFromTop initState\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m                ^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:96:6: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘chamber’ shadows the existing binding\n",
+      "      defined at advent17/Main.hs:22:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m96 |\u001b[0m\u001b[0m push \u001b[;1m\u001b[35mchamber\u001b[0m\u001b[0m rock direction \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m      ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:106:6: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘chamber’ shadows the existing binding\n",
+      "      defined at advent17/Main.hs:22:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m106 |\u001b[0m\u001b[0m fall \u001b[;1m\u001b[35mchamber\u001b[0m\u001b[0m rock \n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m      ^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:143:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘showChamber’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m143 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mshowChamber\u001b[0m\u001b[0m chamber = unlines \n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent17/Main.hs:143:13: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘chamber’ shadows the existing binding\n",
+      "      defined at advent17/Main.hs:22:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m143 |\u001b[0m\u001b[0m showChamber \u001b[;1m\u001b[35mchamber\u001b[0m\u001b[0m = unlines \n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m             ^^^^^^^\u001b[0m\u001b[0m\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent17/build/advent17/advent17 ...\n",
+      "3211\n",
+      "1589142857183\n",
+      " 112,643,551,288 bytes allocated in the heap\n",
+      "   3,363,497,384 bytes copied during GC\n",
+      "       4,914,576 bytes maximum residency (500 sample(s))\n",
+      "         766,208 bytes maximum slop\n",
+      "              65 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0     24300 colls, 24300 par    7.144s   3.060s     0.0001s    0.0112s\n",
+      "  Gen  1       500 colls,   499 par    2.683s   1.091s     0.0022s    0.0114s\n",
+      "\n",
+      "  Parallel GC work balance: 32.92% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.002s elapsed)\n",
+      "  MUT     time   56.213s  ( 52.282s elapsed)\n",
+      "  GC      time    9.185s  (  3.513s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.641s  (  0.638s elapsed)\n",
+      "  EXIT    time    0.003s  (  0.002s elapsed)\n",
+      "  Total   time   66.046s  ( 56.437s elapsed)\n",
+      "\n",
+      "  Alloc rate    2,003,871,640 bytes per MUT second\n",
+      "\n",
+      "  Productivity  86.1% of total user, 93.8% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent18)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent18' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent18' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent18' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent18/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent18/build/advent18/advent18-tmp/Main.dyn_o )\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent18/build/advent18/advent18-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent18/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent18/build/advent18/advent18-tmp/Main.p_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent18/build/advent18/advent18 ...\n",
+      "3364\n",
+      "2006\n",
+      "     101,387,336 bytes allocated in the heap\n",
+      "       7,046,080 bytes copied during GC\n",
+      "       1,772,120 bytes maximum residency (3 sample(s))\n",
+      "         198,056 bytes maximum slop\n",
+      "              64 MiB total memory in use (0 MB lost due to fragmentation)\n",
+      "\n",
+      "                                     Tot time (elapsed)  Avg pause  Max pause\n",
+      "  Gen  0        22 colls,    22 par    0.011s   0.007s     0.0003s    0.0015s\n",
+      "  Gen  1         3 colls,     2 par    0.006s   0.001s     0.0005s    0.0005s\n",
+      "\n",
+      "  Parallel GC work balance: 27.29% (serial 0%, perfect 100%)\n",
+      "\n",
+      "  TASKS: 26 (1 bound, 25 peak workers (25 total), using -N12)\n",
+      "\n",
+      "  SPARKS: 0 (0 converted, 0 overflowed, 0 dud, 0 GC'd, 0 fizzled)\n",
+      "\n",
+      "  INIT    time    0.004s  (  0.002s elapsed)\n",
+      "  MUT     time    0.095s  (  0.092s elapsed)\n",
+      "  GC      time    0.017s  (  0.008s elapsed)\n",
+      "  RP      time    0.000s  (  0.000s elapsed)\n",
+      "  PROF    time    0.000s  (  0.000s elapsed)\n",
+      "  EXIT    time    0.002s  (  0.001s elapsed)\n",
+      "  Total   time    0.118s  (  0.103s elapsed)\n",
+      "\n",
+      "  Alloc rate    1,068,522,257 bytes per MUT second\n",
+      "\n",
+      "  Productivity  80.4% of total user, 88.9% of total elapsed\n",
+      "\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent19)  --enable-profiling (configuration changed)\n",
+      "Configuring executable 'advent19' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent19' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent19' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent19/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent19/build/advent19/advent19-tmp/Main.dyn_o ) [Control.Parallel.Strategies changed]\n",
+      "\n",
+      "\u001b[;1madvent19/Main.hs:3:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Debug.Trace’ is redundant\n",
+      "      except perhaps to import instances from ‘Debug.Trace’\n",
+      "    To import instances alone, use: import Debug.Trace()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m3 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Debug.Trace\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent19/Main.hs:19:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Data.Ord’ is redundant\n",
+      "      except perhaps to import instances from ‘Data.Ord’\n",
+      "    To import instances alone, use: import Data.Ord()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m19 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Data.Ord\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent19/Main.hs:56:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘benefit’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m56 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmakeLenses ''Agendum\u001b[0m\u001b[0m   \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent19/Main.hs:166:22: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-matches\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘prevBenefit’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m166 |\u001b[0m\u001b[0m makeAgendum previous \u001b[;1m\u001b[35mprevBenefit\u001b[0m\u001b[0m newState = \n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m                      ^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent19/Main.hs:193:24: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘robots’ shadows the existing binding\n",
+      "      defined at advent19/Main.hs:45:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m193 |\u001b[0m\u001b[0m   where blueprintify n \u001b[;1m\u001b[35mrobots\u001b[0m\u001b[0m = \n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m                        ^^^^^^\u001b[0m\u001b[0m\n",
+      "[1 of 2] Compiling AoC              ( src/AoC.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent19/build/advent19/advent19-tmp/AoC.p_o )\n",
+      "[2 of 2] Compiling Main             ( advent19/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent19/build/advent19/advent19-tmp/Main.p_o )\n",
+      "\n",
+      "\u001b[;1madvent19/Main.hs:3:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Debug.Trace’ is redundant\n",
+      "      except perhaps to import instances from ‘Debug.Trace’\n",
+      "    To import instances alone, use: import Debug.Trace()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m3 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Debug.Trace\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m  |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent19/Main.hs:19:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-imports\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    The import of ‘Data.Ord’ is redundant\n",
+      "      except perhaps to import instances from ‘Data.Ord’\n",
+      "    To import instances alone, use: import Data.Ord()\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m19 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mimport Data.Ord\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent19/Main.hs:56:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘benefit’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m56 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmakeLenses ''Agendum\u001b[0m\u001b[0m   \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent19/Main.hs:166:22: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-matches\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘prevBenefit’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m166 |\u001b[0m\u001b[0m makeAgendum previous \u001b[;1m\u001b[35mprevBenefit\u001b[0m\u001b[0m newState = \n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m                      ^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent19/Main.hs:193:24: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wname-shadowing\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    This binding for ‘robots’ shadows the existing binding\n",
+      "      defined at advent19/Main.hs:45:1\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m193 |\u001b[0m\u001b[0m   where blueprintify n \u001b[;1m\u001b[35mrobots\u001b[0m\u001b[0m = \n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m                        ^^^^^^\u001b[0m\u001b[0m\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent19/build/advent19/advent19 ...\n",
+      "1199\n"
+     ]
+    }
+   ],
+   "source": [
+    "! cd .. && for i in {01..25}; do cabal run advent${i} --enable-profiling -- +RTS -N -pj -s -hT ; done"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "rm: cannot remove '../times.csv': No such file or directory\n",
+      "rm: cannot remove '../times_raw.csv': No such file or directory\n"
+     ]
+    }
+   ],
+   "source": [
+    "! rm ../times.csv\n",
+    "! rm ../times_raw.csv"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "Collapsed": "false",
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Up to date\n",
+      "66719\n",
+      "198551\n",
+      "Up to date\n",
+      "13009\n",
+      "10398\n",
+      "Up to date\n",
+      "7727\n",
+      "2609\n",
+      "Up to date\n",
+      "513\n",
+      "878\n",
+      "Up to date\n",
+      "TGWSMRBPN\n",
+      "TZLTLWRNF\n",
+      "Up to date\n",
+      "1080\n",
+      "3645\n",
+      "Up to date\n",
+      "1084134\n",
+      "6183184\n",
+      "Up to date\n",
+      "1823\n",
+      "211680\n",
+      "Up to date\n",
+      "6243\n",
+      "2630\n",
+      "Up to date\n",
+      "15140\n",
+      "███  ███    ██  ██  ████  ██   ██  ███  \n",
+      "█  █ █  █    █ █  █    █ █  █ █  █ █  █ \n",
+      "███  █  █    █ █  █   █  █    █  █ █  █ \n",
+      "█  █ ███     █ ████  █   █ ██ ████ ███  \n",
+      "█  █ █    █  █ █  █ █    █  █ █  █ █    \n",
+      "███  █     ██  █  █ ████  ███ █  █ █    \n",
+      " \n",
+      "\n",
+      "Up to date\n",
+      "112815\n",
+      "25738411485\n",
+      "Up to date\n",
+      "468\n",
+      "459\n",
+      "Up to date\n",
+      "5675\n",
+      "20383\n",
+      "Up to date\n",
+      "644\n",
+      "27324\n",
+      "Up to date\n",
+      "5147333\n",
+      "13734006908372\n",
+      "Up to date\n",
+      "1792\n",
+      "2587\n",
+      "Up to date\n",
+      "3211\n",
+      "1589142857183\n",
+      "Up to date\n",
+      "3364\n",
+      "2006\n",
+      "Up to date\n",
+      "1199\n",
+      "3510\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent20) (file advent20/Main.hs changed)\n",
+      "Preprocessing executable 'advent20' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent20' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent20/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent20/build/advent20/advent20-tmp/Main.o, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent20/build/advent20/advent20-tmp/Main.dyn_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent20/build/advent20/advent20 ...\n",
+      "8721\n",
+      "831878881825\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent21) (file advent21/Main.hs changed)\n",
+      "Preprocessing executable 'advent21' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent21' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent21/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent21/build/advent21/advent21-tmp/Main.o, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent21/build/advent21/advent21-tmp/Main.dyn_o )\n",
+      "\n",
+      "\u001b[;1madvent21/Main.hs:38:9: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wincomplete-uni-patterns\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Pattern match(es) are non-exhaustive\n",
+      "    In a pattern binding:\n",
+      "        Patterns of type ‘Shout’ not matched: Literal _\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m38 |\u001b[0m\u001b[0m   where \u001b[;1m\u001b[35m(Operation _ rootL rootR) = monkeys ! \"root\"\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent21/Main.hs:50:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wincomplete-patterns\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Pattern match(es) are non-exhaustive\n",
+      "    In an equation for ‘binarySearch’:\n",
+      "        Patterns of type ‘Monkeys’, ‘Monkeys’, ‘Int’, ‘Int’ not matched:\n",
+      "            (Data.Map.Internal.Bin _ _ _ _ _) (Data.Map.Internal.Bin _ _ _ _ _)\n",
+      "            _ _\n",
+      "            (Data.Map.Internal.Bin _ _ _ _ _) Data.Map.Internal.Tip _ _\n",
+      "            Data.Map.Internal.Tip (Data.Map.Internal.Bin _ _ _ _ _) _ _\n",
+      "            Data.Map.Internal.Tip Data.Map.Internal.Tip _ _\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m50 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mbinarySearch values operations lower upper \u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^...\u001b[0m\u001b[0m\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent21/build/advent21/advent21 ...\n",
+      "21120928600114\n",
+      "3453748220116\n",
+      "Up to date\n",
+      "26558\n",
+      "110400\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent23) (file advent23/Main.hs changed)\n",
+      "Preprocessing executable 'advent23' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent23' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent23/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent23/build/advent23/advent23-tmp/Main.o, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent23/build/advent23/advent23-tmp/Main.dyn_o )\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent23/build/advent23/advent23 ...\n",
+      "4236\n",
+      "1023\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent24) (file advent24/Main.hs changed)\n",
+      "Preprocessing executable 'advent24' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent24' for advent-of-code22-0.1.0.0..\n",
+      "[2 of 2] Compiling Main             ( advent24/Main.hs, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent24/build/advent24/advent24-tmp/Main.o, /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent24/build/advent24/advent24-tmp/Main.dyn_o )\n",
+      "\n",
+      "\u001b[;1madvent24/Main.hs:53:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘cost’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m53 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mmakeLenses ''Agendum\u001b[0m\u001b[0m   \n",
+      "\u001b[;1m\u001b[34m   |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^^^^^^^^^^^^^\u001b[0m\u001b[0m\n",
+      "\n",
+      "\u001b[;1madvent24/Main.hs:221:1: \u001b[;1m\u001b[35mwarning:\u001b[0m\u001b[0m\u001b[;1m [\u001b[;1m\u001b[35m-Wunused-top-binds\u001b[0m\u001b[0m\u001b[;1m]\u001b[0m\u001b[0m\u001b[;1m\n",
+      "    Defined but not used: ‘showSafe’\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\n",
+      "\u001b[;1m\u001b[34m221 |\u001b[0m\u001b[0m \u001b[;1m\u001b[35mshowSafe\u001b[0m\u001b[0m valley = unlines $ reverse rows\n",
+      "\u001b[;1m\u001b[34m    |\u001b[0m\u001b[0m\u001b[;1m\u001b[35m ^^^^^^^^\u001b[0m\u001b[0m\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent24/build/advent24/advent24 ...\n",
+      "288\n",
+      "861\n",
+      "Build profile: -w ghc-9.2.5 -O1\n",
+      "In order, the following will be built (use -v for more details):\n",
+      " - advent-of-code22-0.1.0.0 (exe:advent25) (configuration changed)\n",
+      "Configuring executable 'advent25' for advent-of-code22-0.1.0.0..\n",
+      "Preprocessing executable 'advent25' for advent-of-code22-0.1.0.0..\n",
+      "Building executable 'advent25' for advent-of-code22-0.1.0.0..\n",
+      "Linking /home/neil/Programming/advent-of-code-22/dist-newstyle/build/x86_64-linux/ghc-9.2.5/advent-of-code22-0.1.0.0/x/advent25/build/advent25/advent25 ...\n",
+      "20==1==12=0111=2--20\n"
+     ]
+    }
+   ],
+   "source": [
+    "! cd .. && for i in {01..25}; do /usr/bin/time -f \"%C,%S,%E,%M\" -o times.csv -a cabal run advent${i}; done"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "Collapsed": "false",
+    "scrolled": true,
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "66719\n",
+      "198551\n",
+      "13009\n",
+      "10398\n",
+      "7727\n",
+      "2609\n",
+      "513\n",
+      "878\n",
+      "TGWSMRBPN\n",
+      "TZLTLWRNF\n",
+      "1080\n",
+      "3645\n",
+      "1084134\n",
+      "6183184\n",
+      "1823\n",
+      "211680\n",
+      "6243\n",
+      "2630\n",
+      "15140\n",
+      "███  ███    ██  ██  ████  ██   ██  ███  \n",
+      "█  █ █  █    █ █  █    █ █  █ █  █ █  █ \n",
+      "███  █  █    █ █  █   █  █    █  █ █  █ \n",
+      "█  █ ███     █ ████  █   █ ██ ████ ███  \n",
+      "█  █ █    █  █ █  █ █    █  █ █  █ █    \n",
+      "███  █     ██  █  █ ████  ███ █  █ █    \n",
+      " \n",
+      "\n",
+      "112815\n",
+      "25738411485\n",
+      "468\n",
+      "459\n",
+      "5675\n",
+      "20383\n",
+      "644\n",
+      "27324\n",
+      "5147333\n",
+      "13734006908372\n",
+      "1792\n",
+      "2587\n",
+      "3211\n",
+      "1589142857183\n",
+      "3364\n",
+      "2006\n",
+      "1199\n",
+      "3510\n",
+      "8721\n",
+      "831878881825\n",
+      "21120928600114\n",
+      "3453748220116\n",
+      "26558\n",
+      "110400\n",
+      "4236\n",
+      "1023\n",
+      "288\n",
+      "861\n",
+      "20==1==12=0111=2--20\n"
+     ]
+    }
+   ],
+   "source": [
+    "! cd .. && for i in {01..25}; do /usr/bin/time -f \"%C,%S,%E,%M\" -o times_raw.csv -a advent${i}; done"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!mv ../*prof ."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!mv ../times.csv ."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!mv ../times_raw.csv ."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!mv ../*hp ."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/bin/bash: -c: line 1: syntax error near unexpected token `;'\n",
+      "/bin/bash: -c: line 1: ` for f in *hp ; do hp2ps $<_io.TextIOWrapper name='advent24.prof' mode='r' encoding='UTF-8'> ; done'\n"
+     ]
+    }
+   ],
+   "source": [
+    "! for f in *hp ; do hp2ps ${f} ; done"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['advent13.prof',\n",
+       " 'advent10.prof',\n",
+       " 'advent03.prof',\n",
+       " 'advent07.prof',\n",
+       " 'advent20.prof',\n",
+       " 'advent19.prof',\n",
+       " 'advent01.prof',\n",
+       " 'advent18.prof',\n",
+       " 'advent06.prof',\n",
+       " 'advent09.prof',\n",
+       " 'advent08.prof',\n",
+       " 'advent23.prof',\n",
+       " 'advent21.prof',\n",
+       " 'advent22.prof',\n",
+       " 'advent16.prof',\n",
+       " 'advent25.prof',\n",
+       " 'advent11.prof',\n",
+       " 'advent02.prof',\n",
+       " 'advent15.prof',\n",
+       " 'advent17.prof',\n",
+       " 'advent05.prof',\n",
+       " 'advent12.prof',\n",
+       " 'advent04.prof',\n",
+       " 'advent14.prof',\n",
+       " 'advent24.prof']"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "glob.glob('*prof')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "Collapsed": "false",
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'program': 'advent13',\n",
+       "  'total_time': 0.08,\n",
+       "  'total_alloc': 10281760,\n",
+       "  'total_ticks': 264,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent10',\n",
+       "  'total_time': 0.01,\n",
+       "  'total_alloc': 631808,\n",
+       "  'total_ticks': 48,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent03',\n",
+       "  'total_time': 0.04,\n",
+       "  'total_alloc': 6018112,\n",
+       "  'total_ticks': 120,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent07',\n",
+       "  'total_time': 0.03,\n",
+       "  'total_alloc': 3049136,\n",
+       "  'total_ticks': 108,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent20',\n",
+       "  'total_time': 116.93,\n",
+       "  'total_alloc': 55860434768,\n",
+       "  'total_ticks': 398748,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent19',\n",
+       "  'total_time': 125807.27,\n",
+       "  'total_alloc': 1964531122296,\n",
+       "  'total_ticks': 429011004,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent01',\n",
+       "  'total_time': 0.06,\n",
+       "  'total_alloc': 11516576,\n",
+       "  'total_ticks': 192,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent18',\n",
+       "  'total_time': 0.36,\n",
+       "  'total_alloc': 68244096,\n",
+       "  'total_ticks': 1224,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent06',\n",
+       "  'total_time': 0.02,\n",
+       "  'total_alloc': 5025888,\n",
+       "  'total_ticks': 84,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent09',\n",
+       "  'total_time': 0.37,\n",
+       "  'total_alloc': 39708256,\n",
+       "  'total_ticks': 1248,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent08',\n",
+       "  'total_time': 0.69,\n",
+       "  'total_alloc': 214597512,\n",
+       "  'total_ticks': 2352,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent23',\n",
+       "  'total_time': 1977.02,\n",
+       "  'total_alloc': 26387446504,\n",
+       "  'total_ticks': 6741780,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent21',\n",
+       "  'total_time': 1.97,\n",
+       "  'total_alloc': 351135824,\n",
+       "  'total_ticks': 6720,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent22',\n",
+       "  'total_time': 3671.94,\n",
+       "  'total_alloc': 528445105288,\n",
+       "  'total_ticks': 12521556,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent16',\n",
+       "  'total_time': 910.42,\n",
+       "  'total_alloc': 296137053800,\n",
+       "  'total_ticks': 3104592,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent25',\n",
+       "  'total_time': 0.01,\n",
+       "  'total_alloc': 642496,\n",
+       "  'total_ticks': 48,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent11',\n",
+       "  'total_time': 3.02,\n",
+       "  'total_alloc': 655812832,\n",
+       "  'total_ticks': 10308,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent02',\n",
+       "  'total_time': 0.06,\n",
+       "  'total_alloc': 9613016,\n",
+       "  'total_ticks': 192,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent15',\n",
+       "  'total_time': 23014.42,\n",
+       "  'total_alloc': 126607950592,\n",
+       "  'total_ticks': 78480684,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent17',\n",
+       "  'total_time': 198.34,\n",
+       "  'total_alloc': 77649009464,\n",
+       "  'total_ticks': 676368,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent05',\n",
+       "  'total_time': 0.02,\n",
+       "  'total_alloc': 3396888,\n",
+       "  'total_ticks': 84,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent12',\n",
+       "  'total_time': 7.58,\n",
+       "  'total_alloc': 1598902400,\n",
+       "  'total_ticks': 25836,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent04',\n",
+       "  'total_time': 0.03,\n",
+       "  'total_alloc': 2913824,\n",
+       "  'total_ticks': 96,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent14',\n",
+       "  'total_time': 5.8,\n",
+       "  'total_alloc': 258169680,\n",
+       "  'total_ticks': 19788,\n",
+       "  'initial_capabilities': 12},\n",
+       " {'program': 'advent24',\n",
+       "  'total_time': 18.13,\n",
+       "  'total_alloc': 3268072336,\n",
+       "  'total_ticks': 61836,\n",
+       "  'initial_capabilities': 12}]"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "profs = []\n",
+    "for fn in glob.glob('*prof'):\n",
+    "    with open(fn) as f:\n",
+    "        j = json.load(f)\n",
+    "        prof = {}\n",
+    "        for n in 'program total_time total_alloc total_ticks initial_capabilities'.split():\n",
+    "            prof[n] = j[n]\n",
+    "        profs.append(prof)\n",
+    "profs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 158,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>total_time</th>\n",
+       "      <th>total_alloc</th>\n",
+       "      <th>total_ticks</th>\n",
+       "      <th>initial_capabilities</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>program</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>advent01</th>\n",
+       "      <td>0.06</td>\n",
+       "      <td>11516576</td>\n",
+       "      <td>192</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent02</th>\n",
+       "      <td>0.06</td>\n",
+       "      <td>9613016</td>\n",
+       "      <td>192</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent03</th>\n",
+       "      <td>0.04</td>\n",
+       "      <td>6018112</td>\n",
+       "      <td>120</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent04</th>\n",
+       "      <td>0.03</td>\n",
+       "      <td>2913824</td>\n",
+       "      <td>96</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent05</th>\n",
+       "      <td>0.02</td>\n",
+       "      <td>3396888</td>\n",
+       "      <td>84</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent06</th>\n",
+       "      <td>0.02</td>\n",
+       "      <td>5025888</td>\n",
+       "      <td>84</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent07</th>\n",
+       "      <td>0.03</td>\n",
+       "      <td>3049136</td>\n",
+       "      <td>108</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent08</th>\n",
+       "      <td>0.69</td>\n",
+       "      <td>214597512</td>\n",
+       "      <td>2352</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent09</th>\n",
+       "      <td>0.37</td>\n",
+       "      <td>39708256</td>\n",
+       "      <td>1248</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent10</th>\n",
+       "      <td>0.01</td>\n",
+       "      <td>631808</td>\n",
+       "      <td>48</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent11</th>\n",
+       "      <td>3.02</td>\n",
+       "      <td>655812832</td>\n",
+       "      <td>10308</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent12</th>\n",
+       "      <td>7.58</td>\n",
+       "      <td>1598902400</td>\n",
+       "      <td>25836</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent13</th>\n",
+       "      <td>0.08</td>\n",
+       "      <td>10281760</td>\n",
+       "      <td>264</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent14</th>\n",
+       "      <td>5.80</td>\n",
+       "      <td>258169680</td>\n",
+       "      <td>19788</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent15</th>\n",
+       "      <td>23014.42</td>\n",
+       "      <td>126607950592</td>\n",
+       "      <td>78480684</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent16</th>\n",
+       "      <td>910.42</td>\n",
+       "      <td>296137053800</td>\n",
+       "      <td>3104592</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent17</th>\n",
+       "      <td>198.34</td>\n",
+       "      <td>77649009464</td>\n",
+       "      <td>676368</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent18</th>\n",
+       "      <td>0.36</td>\n",
+       "      <td>68244096</td>\n",
+       "      <td>1224</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent19</th>\n",
+       "      <td>125807.27</td>\n",
+       "      <td>1964531122296</td>\n",
+       "      <td>429011004</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent20</th>\n",
+       "      <td>116.93</td>\n",
+       "      <td>55860434768</td>\n",
+       "      <td>398748</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent21</th>\n",
+       "      <td>1.97</td>\n",
+       "      <td>351135824</td>\n",
+       "      <td>6720</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent22</th>\n",
+       "      <td>3671.94</td>\n",
+       "      <td>528445105288</td>\n",
+       "      <td>12521556</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent23</th>\n",
+       "      <td>1977.02</td>\n",
+       "      <td>26387446504</td>\n",
+       "      <td>6741780</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent24</th>\n",
+       "      <td>18.13</td>\n",
+       "      <td>3268072336</td>\n",
+       "      <td>61836</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent25</th>\n",
+       "      <td>0.01</td>\n",
+       "      <td>642496</td>\n",
+       "      <td>48</td>\n",
+       "      <td>12</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          total_time    total_alloc  total_ticks  initial_capabilities\n",
+       "program                                                               \n",
+       "advent01        0.06       11516576          192                    12\n",
+       "advent02        0.06        9613016          192                    12\n",
+       "advent03        0.04        6018112          120                    12\n",
+       "advent04        0.03        2913824           96                    12\n",
+       "advent05        0.02        3396888           84                    12\n",
+       "advent06        0.02        5025888           84                    12\n",
+       "advent07        0.03        3049136          108                    12\n",
+       "advent08        0.69      214597512         2352                    12\n",
+       "advent09        0.37       39708256         1248                    12\n",
+       "advent10        0.01         631808           48                    12\n",
+       "advent11        3.02      655812832        10308                    12\n",
+       "advent12        7.58     1598902400        25836                    12\n",
+       "advent13        0.08       10281760          264                    12\n",
+       "advent14        5.80      258169680        19788                    12\n",
+       "advent15    23014.42   126607950592     78480684                    12\n",
+       "advent16      910.42   296137053800      3104592                    12\n",
+       "advent17      198.34    77649009464       676368                    12\n",
+       "advent18        0.36       68244096         1224                    12\n",
+       "advent19   125807.27  1964531122296    429011004                    12\n",
+       "advent20      116.93    55860434768       398748                    12\n",
+       "advent21        1.97      351135824         6720                    12\n",
+       "advent22     3671.94   528445105288     12521556                    12\n",
+       "advent23     1977.02    26387446504      6741780                    12\n",
+       "advent24       18.13     3268072336        61836                    12\n",
+       "advent25        0.01         642496           48                    12"
+      ]
+     },
+     "execution_count": 158,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "performance = pd.DataFrame(profs).set_index('program').sort_index()\n",
+    "performance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 159,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='program'>"
+      ]
+     },
+     "execution_count": 159,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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XEXG37N887PcmH0d3hMZ9F8k3ybrqsybNdyuzfjNxP7pfLN/67i9wamaO/AXzSda0nFU9X6tZ0R0NcH0u453rSddVn1U9X8tZEXEoMJ+ZX9nu+j2BF2bmP05rXfVZk+YbajkvaE9yAl40znU7uqblrOr53BZui5WeVT3fatgW29x/OXee5MSQdzdZ4qD9Sda0nFU9n9vCbbHSs6rnWw3bYvA0s9eoI2Ij8CfAfSJi8Mdw70T3+fqprGk5q3q+lrOq52s5q3q+lrOq52s5a9J8w8zyzcQv0n1Gfz3whoHrrwW2/yaqHVnTclb1fC1nVc/Xclb1fC1nVc/Xctak+W6l1EfIJUm3NstvzwMgIv4wIi6NiJ9GxDURcW1EXDPtNS1nVc/Xclb1fC1nVc/Xclb1fC1nTZpvG8t5QXuSE93HkPeb9ZqWs6rnc1u4LVZ6VvV8q2FbDJ5mvkdN94sJWxqsaTmrer6Ws6rnazmrer6Ws6rnazlr0nxbzfw16oh4M933vH6EgY+iZuaHprmm5azq+VrOqp6v5azq+VrOqp6v5axJ8w2a5VEfC/YAfk73DW0LElgs5CRrWs6qnq/lrOr5Ws6qnq/lrOr5Ws6aNN9WHvUhScW1OOrj/hHxmYi4uL/8oOh+kXeqa1rOqp6v5azq+VrOqp6v5azq+VrOmjTfNnbkncgx3/H8LN0vh1wwcN3QXzDekTUtZ1XP57ZwW6z0rOr5VsO2GDy1OOrjjpl57nbX3TiDNS1nVc/Xclb1fC1nVc/Xclb1fC1nTZpvqxZF/cOIuC/9F2VH90sHI39McwfWtJxVPV/LWdXztZxVPV/LWdXztZw1ab5bLGf3e5IT3S8Yf5ruXc8rgc8D+0x7TctZ1fO5LdwWKz2rer7VsC0GTy2Oo16TmTdF91Pst8vMa2expuWs6vlazqqer+Ws6vlazqqer+WsSfMNavHSx2URcQLw28B1M1zTclb1fC1nVc/Xclb1fC1nVc/Xctak+W6xnN3vSU7AHYBn0h3cfTnwNuBR017Tclb1fG4Lt8VKz6qebzVsi20eYzl33tETsBfwLuCmWa5pOat6PreF22KlZ1XPtxq2RYuXPoiIQyLi7cBmYFe6v12mvqblrOr5Ws6qnq/lrOr5Ws6qnq/lrEnzbbWcVp/kBFwGfBjYCOw2qzUtZ1XP57ZwW6z0rOr5VsO2GDy1OOpjj8xc1pdkT7Km5azq+VrOqp6v5azq+VrOqp6v5axJ823zGLMq6oh4K/0B3sNk5l9NY03LWdXztZxVPV/LWdXztZxVPV/LWZPmG2aWr1FvAs6nez3mIcCl/ekA4KYprmk5q3q+lrOq52s5q3q+lrOq52s5a9J8tzbJ6yXLOQFnAesGLq8Dzpr2mpazqudzW7gtVnpW9XyrYVsMnloc9XEP4E4Dl3fvr5v2mpazqudrOat6vpazqudrOat6vpazJs23VYtfeDkWuCAizuovHwIcM4M1LWdVz9dyVvV8LWdVz9dyVvV8LWdNmm+rJr/wEhH3AI4EtgB3BL6XmZ+b9pqWs6rnazmrer6Ws6rnazmrer6WsybNt9VyXieZ5AQ8H7gI+AndazW/AM6c9pqWs6rnc1u4LVZ6VvV8q2FbbPMYy7nzJKc+4K7Ahf3lfYGTp72m5azq+dwWbouVnlU932rYFoOnFm8mXp+Z1wNExO0z8+vAA2awpuWs6vlazqqer+Ws6vlazqqer+WsSfNt1eLNxCsi4s7AR4AzIuInwPdmsKblrOr5Ws6qnq/lrOr5Ws6qnq/lrEnzbdXkzcStwyIOAfYEPpWZv5zVmpazqudrOat6vpazqudrOat6vpazJs7XsqglScvX5GtOJUmTs6glqTiLWpKKs6i16kXEmh1c3+LoJ2livpmo0iJiA/Ap4BzgQOCbwHOArwEnAk+g+7HQAP62//PjmfnSfv1RwEvpDoe6FLghM18YEScBP+4fczNwMnAc3Q+R/gJ4XmZ+IyKeCzwNWAPsD7wB2IXu48A3AIdn5o9ntwWkNsdRSzvqAcBRmfmFiDgReEF//fWZ+aj+exS+DDyU7mO6p0fE04BzgVfSfRfwtcCZwFcGHvf+wKGZeVNE7AE8OjNvjIhDgdcBT+/vtz9doe8KfAt4aWYeGBFvovtL47gZ/XdLgEWt1eG7mfmF/vy7gYVfxji5//NhwNmZOQ8QEe8BHt3f9tmFPd6IOIWunBeckpkLX+C+J/DOiLgf3a9yrBu431mZeS1wbUT8FPhYf/1FwIOm8R8oLcbXqLUabP/63MLln/V/xoh1o65f8LOB86+lK+T9gSfT7T0vuGHg/M0Dl2/GnR01YFFrNbh3RDyiP78R+Px2t58DHBIR6/s3FjcCn6V76eOQiNirf8Pw6Yy2J3Blf/65U0suTYFFrdVgC/BnEfFV4C7A8YM3Zub3gZfTfYXkV4DNmfnRzLyS7rXmc4BP070B+dMRM14P/FNEfIHujUOpDI/6UGn9UR+n9S9JTLJ+98y8rt+j/jBwYmZ+eJoZpVlzj1q3dcdExIXAxcBldN9gJq0q7lFLUnHuUUtScRa1JBVnUUtScRa1JBVnUUtScRa1JBX3/4O+JdWqoFOMAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "performance.total_ticks.plot.bar()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 160,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='program'>"
+      ]
+     },
+     "execution_count": 160,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "performance.total_ticks.plot.bar(logy=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 161,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='program'>"
+      ]
+     },
+     "execution_count": 161,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "performance.total_alloc.plot.bar()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 162,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='program'>"
+      ]
+     },
+     "execution_count": 162,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "performance.total_alloc.plot.bar(logy=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 163,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "performance[['total_ticks', 'total_alloc']].plot.bar(\n",
+    "    logy=True, secondary_y=['total_alloc'], \n",
+    "    figsize=(8, 6), title=\"Internal time and memory\")\n",
+    "plt.savefig('internal_time_and_memory_log.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 164,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "performance[['total_ticks', 'total_alloc']].plot.bar(\n",
+    "    logy=False, secondary_y=['total_alloc'], \n",
+    "    figsize=(8, 6), title=\"Internal time and memory\")\n",
+    "plt.savefig('internal_time_and_memory_linear.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 165,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# times = pd.read_csv('times.csv', \n",
+    "#                     names=['program', 'system', 'elapsed', 'memory'], \n",
+    "#                     index_col='program')\n",
+    "# times.index = times.index.str.slice(start=len('cabal run '))\n",
+    "# times.elapsed = pd.to_numeric(times.elapsed.str.slice(start=2))\n",
+    "# times"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 166,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "datetime.datetime(2022, 12, 26, 23, 59, 59)"
+      ]
+     },
+     "execution_count": 166,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "today = datetime.date.today()\n",
+    "today = datetime.datetime(year=today.year, month=today.month, day=today.day) - datetime.timedelta(seconds=1)\n",
+    "today"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 167,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "datetime.datetime(1900, 1, 1, 0, 0)"
+      ]
+     },
+     "execution_count": 167,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "epoch = datetime.datetime(year=1900, month=1, day=1)\n",
+    "epoch"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 168,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>system</th>\n",
+       "      <th>elapsed</th>\n",
+       "      <th>memory</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>program</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>advent01</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>10488</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent02</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>11112</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent03</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>10408</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent04</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>9040</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent05</th>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>9324</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent06</th>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>10124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent07</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>9192</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent08</th>\n",
+       "      <td>0.02</td>\n",
+       "      <td>0.09</td>\n",
+       "      <td>12204</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent09</th>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>23660</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent10</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>6800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent11</th>\n",
+       "      <td>0.07</td>\n",
+       "      <td>0.36</td>\n",
+       "      <td>66664</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent12</th>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>13264</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent13</th>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>12300</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent14</th>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.85</td>\n",
+       "      <td>15068</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent15</th>\n",
+       "      <td>20.65</td>\n",
+       "      <td>137.27</td>\n",
+       "      <td>18101260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent16</th>\n",
+       "      <td>15.74</td>\n",
+       "      <td>144.64</td>\n",
+       "      <td>45628</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent17</th>\n",
+       "      <td>3.94</td>\n",
+       "      <td>20.67</td>\n",
+       "      <td>22000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent18</th>\n",
+       "      <td>0.02</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>14060</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent19</th>\n",
+       "      <td>87.22</td>\n",
+       "      <td>1134.12</td>\n",
+       "      <td>14295324</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent20</th>\n",
+       "      <td>2.81</td>\n",
+       "      <td>15.04</td>\n",
+       "      <td>13940</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent21</th>\n",
+       "      <td>0.02</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>12680</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent22</th>\n",
+       "      <td>0.02</td>\n",
+       "      <td>0.23</td>\n",
+       "      <td>15908</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent23</th>\n",
+       "      <td>1.87</td>\n",
+       "      <td>370.18</td>\n",
+       "      <td>13628</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent24</th>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>74820</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent25</th>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>5896</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          system  elapsed    memory\n",
+       "program                            \n",
+       "advent01    0.00     0.02     10488\n",
+       "advent02    0.00     0.02     11112\n",
+       "advent03    0.00     0.02     10408\n",
+       "advent04    0.00     0.01      9040\n",
+       "advent05    0.01     0.01      9324\n",
+       "advent06    0.01     0.02     10124\n",
+       "advent07    0.00     0.01      9192\n",
+       "advent08    0.02     0.09     12204\n",
+       "advent09    0.01     0.06     23660\n",
+       "advent10    0.00     0.01      6800\n",
+       "advent11    0.07     0.36     66664\n",
+       "advent12    0.06     1.09     13264\n",
+       "advent13    0.01     0.01     12300\n",
+       "advent14    0.01     0.85     15068\n",
+       "advent15   20.65   137.27  18101260\n",
+       "advent16   15.74   144.64     45628\n",
+       "advent17    3.94    20.67     22000\n",
+       "advent18    0.02     0.06     14060\n",
+       "advent19   87.22  1134.12  14295324\n",
+       "advent20    2.81    15.04     13940\n",
+       "advent21    0.02     0.40     12680\n",
+       "advent22    0.02     0.23     15908\n",
+       "advent23    1.87   370.18     13628\n",
+       "advent24    0.24     2.74     74820\n",
+       "advent25    0.00     0.01      5896"
+      ]
+     },
+     "execution_count": 168,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "times = pd.read_csv('times_raw.csv', \n",
+    "                    names=['program', 'system', 'elapsed', 'memory'], \n",
+    "                    index_col='program')\n",
+    "times.elapsed = (pd.to_datetime(times.elapsed, format=\"%M:%S.%f\") - epoch)\n",
+    "times.elapsed = times.elapsed.apply(lambda x: x.total_seconds())\n",
+    "times"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 169,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "system     float64\n",
+       "elapsed    float64\n",
+       "memory       int64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 169,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "times.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 170,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>system</th>\n",
+       "      <th>elapsed</th>\n",
+       "      <th>memory</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>2.500000e+01</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>5.309200</td>\n",
+       "      <td>73.117600</td>\n",
+       "      <td>1.313392e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>17.799571</td>\n",
+       "      <td>235.410442</td>\n",
+       "      <td>4.513418e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.010000</td>\n",
+       "      <td>5.896000e+03</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.020000</td>\n",
+       "      <td>1.040800e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>0.020000</td>\n",
+       "      <td>0.090000</td>\n",
+       "      <td>1.326400e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>0.240000</td>\n",
+       "      <td>2.740000</td>\n",
+       "      <td>2.200000e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>87.220000</td>\n",
+       "      <td>1134.120000</td>\n",
+       "      <td>1.810126e+07</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          system      elapsed        memory\n",
+       "count  25.000000    25.000000  2.500000e+01\n",
+       "mean    5.309200    73.117600  1.313392e+06\n",
+       "std    17.799571   235.410442  4.513418e+06\n",
+       "min     0.000000     0.010000  5.896000e+03\n",
+       "25%     0.000000     0.020000  1.040800e+04\n",
+       "50%     0.020000     0.090000  1.326400e+04\n",
+       "75%     0.240000     2.740000  2.200000e+04\n",
+       "max    87.220000  1134.120000  1.810126e+07"
+      ]
+     },
+     "execution_count": 170,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "times.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 171,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>total_time</th>\n",
+       "      <th>total_alloc</th>\n",
+       "      <th>total_ticks</th>\n",
+       "      <th>initial_capabilities</th>\n",
+       "      <th>system</th>\n",
+       "      <th>elapsed</th>\n",
+       "      <th>memory</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>program</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>advent01</th>\n",
+       "      <td>0.06</td>\n",
+       "      <td>11516576</td>\n",
+       "      <td>192</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>10488</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent02</th>\n",
+       "      <td>0.06</td>\n",
+       "      <td>9613016</td>\n",
+       "      <td>192</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>11112</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent03</th>\n",
+       "      <td>0.04</td>\n",
+       "      <td>6018112</td>\n",
+       "      <td>120</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>10408</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent04</th>\n",
+       "      <td>0.03</td>\n",
+       "      <td>2913824</td>\n",
+       "      <td>96</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>9040</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent05</th>\n",
+       "      <td>0.02</td>\n",
+       "      <td>3396888</td>\n",
+       "      <td>84</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>9324</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent06</th>\n",
+       "      <td>0.02</td>\n",
+       "      <td>5025888</td>\n",
+       "      <td>84</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>10124</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent07</th>\n",
+       "      <td>0.03</td>\n",
+       "      <td>3049136</td>\n",
+       "      <td>108</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>9192</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent08</th>\n",
+       "      <td>0.69</td>\n",
+       "      <td>214597512</td>\n",
+       "      <td>2352</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>0.09</td>\n",
+       "      <td>12204</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent09</th>\n",
+       "      <td>0.37</td>\n",
+       "      <td>39708256</td>\n",
+       "      <td>1248</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>23660</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent10</th>\n",
+       "      <td>0.01</td>\n",
+       "      <td>631808</td>\n",
+       "      <td>48</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>6800</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent11</th>\n",
+       "      <td>3.02</td>\n",
+       "      <td>655812832</td>\n",
+       "      <td>10308</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.07</td>\n",
+       "      <td>0.36</td>\n",
+       "      <td>66664</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent12</th>\n",
+       "      <td>7.58</td>\n",
+       "      <td>1598902400</td>\n",
+       "      <td>25836</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>1.09</td>\n",
+       "      <td>13264</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent13</th>\n",
+       "      <td>0.08</td>\n",
+       "      <td>10281760</td>\n",
+       "      <td>264</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>12300</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent14</th>\n",
+       "      <td>5.80</td>\n",
+       "      <td>258169680</td>\n",
+       "      <td>19788</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>0.85</td>\n",
+       "      <td>15068</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent15</th>\n",
+       "      <td>23014.42</td>\n",
+       "      <td>126607950592</td>\n",
+       "      <td>78480684</td>\n",
+       "      <td>12</td>\n",
+       "      <td>20.65</td>\n",
+       "      <td>137.27</td>\n",
+       "      <td>18101260</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent16</th>\n",
+       "      <td>910.42</td>\n",
+       "      <td>296137053800</td>\n",
+       "      <td>3104592</td>\n",
+       "      <td>12</td>\n",
+       "      <td>15.74</td>\n",
+       "      <td>144.64</td>\n",
+       "      <td>45628</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent17</th>\n",
+       "      <td>198.34</td>\n",
+       "      <td>77649009464</td>\n",
+       "      <td>676368</td>\n",
+       "      <td>12</td>\n",
+       "      <td>3.94</td>\n",
+       "      <td>20.67</td>\n",
+       "      <td>22000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent18</th>\n",
+       "      <td>0.36</td>\n",
+       "      <td>68244096</td>\n",
+       "      <td>1224</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>14060</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent19</th>\n",
+       "      <td>125807.27</td>\n",
+       "      <td>1964531122296</td>\n",
+       "      <td>429011004</td>\n",
+       "      <td>12</td>\n",
+       "      <td>87.22</td>\n",
+       "      <td>1134.12</td>\n",
+       "      <td>14295324</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent20</th>\n",
+       "      <td>116.93</td>\n",
+       "      <td>55860434768</td>\n",
+       "      <td>398748</td>\n",
+       "      <td>12</td>\n",
+       "      <td>2.81</td>\n",
+       "      <td>15.04</td>\n",
+       "      <td>13940</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent21</th>\n",
+       "      <td>1.97</td>\n",
+       "      <td>351135824</td>\n",
+       "      <td>6720</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>0.40</td>\n",
+       "      <td>12680</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent22</th>\n",
+       "      <td>3671.94</td>\n",
+       "      <td>528445105288</td>\n",
+       "      <td>12521556</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.02</td>\n",
+       "      <td>0.23</td>\n",
+       "      <td>15908</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent23</th>\n",
+       "      <td>1977.02</td>\n",
+       "      <td>26387446504</td>\n",
+       "      <td>6741780</td>\n",
+       "      <td>12</td>\n",
+       "      <td>1.87</td>\n",
+       "      <td>370.18</td>\n",
+       "      <td>13628</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent24</th>\n",
+       "      <td>18.13</td>\n",
+       "      <td>3268072336</td>\n",
+       "      <td>61836</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.24</td>\n",
+       "      <td>2.74</td>\n",
+       "      <td>74820</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>advent25</th>\n",
+       "      <td>0.01</td>\n",
+       "      <td>642496</td>\n",
+       "      <td>48</td>\n",
+       "      <td>12</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.01</td>\n",
+       "      <td>5896</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          total_time    total_alloc  total_ticks  initial_capabilities  \\\n",
+       "program                                                                  \n",
+       "advent01        0.06       11516576          192                    12   \n",
+       "advent02        0.06        9613016          192                    12   \n",
+       "advent03        0.04        6018112          120                    12   \n",
+       "advent04        0.03        2913824           96                    12   \n",
+       "advent05        0.02        3396888           84                    12   \n",
+       "advent06        0.02        5025888           84                    12   \n",
+       "advent07        0.03        3049136          108                    12   \n",
+       "advent08        0.69      214597512         2352                    12   \n",
+       "advent09        0.37       39708256         1248                    12   \n",
+       "advent10        0.01         631808           48                    12   \n",
+       "advent11        3.02      655812832        10308                    12   \n",
+       "advent12        7.58     1598902400        25836                    12   \n",
+       "advent13        0.08       10281760          264                    12   \n",
+       "advent14        5.80      258169680        19788                    12   \n",
+       "advent15    23014.42   126607950592     78480684                    12   \n",
+       "advent16      910.42   296137053800      3104592                    12   \n",
+       "advent17      198.34    77649009464       676368                    12   \n",
+       "advent18        0.36       68244096         1224                    12   \n",
+       "advent19   125807.27  1964531122296    429011004                    12   \n",
+       "advent20      116.93    55860434768       398748                    12   \n",
+       "advent21        1.97      351135824         6720                    12   \n",
+       "advent22     3671.94   528445105288     12521556                    12   \n",
+       "advent23     1977.02    26387446504      6741780                    12   \n",
+       "advent24       18.13     3268072336        61836                    12   \n",
+       "advent25        0.01         642496           48                    12   \n",
+       "\n",
+       "          system  elapsed    memory  \n",
+       "program                              \n",
+       "advent01    0.00     0.02     10488  \n",
+       "advent02    0.00     0.02     11112  \n",
+       "advent03    0.00     0.02     10408  \n",
+       "advent04    0.00     0.01      9040  \n",
+       "advent05    0.01     0.01      9324  \n",
+       "advent06    0.01     0.02     10124  \n",
+       "advent07    0.00     0.01      9192  \n",
+       "advent08    0.02     0.09     12204  \n",
+       "advent09    0.01     0.06     23660  \n",
+       "advent10    0.00     0.01      6800  \n",
+       "advent11    0.07     0.36     66664  \n",
+       "advent12    0.06     1.09     13264  \n",
+       "advent13    0.01     0.01     12300  \n",
+       "advent14    0.01     0.85     15068  \n",
+       "advent15   20.65   137.27  18101260  \n",
+       "advent16   15.74   144.64     45628  \n",
+       "advent17    3.94    20.67     22000  \n",
+       "advent18    0.02     0.06     14060  \n",
+       "advent19   87.22  1134.12  14295324  \n",
+       "advent20    2.81    15.04     13940  \n",
+       "advent21    0.02     0.40     12680  \n",
+       "advent22    0.02     0.23     15908  \n",
+       "advent23    1.87   370.18     13628  \n",
+       "advent24    0.24     2.74     74820  \n",
+       "advent25    0.00     0.01      5896  "
+      ]
+     },
+     "execution_count": 171,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "performance = performance.merge(times, left_index=True, right_index=True)\n",
+    "# performance.drop(index='advent15loop', inplace=True)\n",
+    "performance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 172,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['total_time', 'total_alloc', 'total_ticks', 'initial_capabilities',\n",
+       "       'system', 'elapsed', 'memory'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 172,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "performance.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 173,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)\n",
+    "performance.elapsed.plot.bar(\n",
+    "    figsize=(8, 6), title=\"External time\")\n",
+    "plt.savefig('external_time.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 174,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)\n",
+    "performance[['elapsed', 'memory']].plot.bar(\n",
+    "    logy=False, secondary_y=['memory'], \n",
+    "    figsize=(8, 6), title=\"External time and memory\")\n",
+    "plt.savefig('external_time_and_memory.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 175,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)\n",
+    "performance[['elapsed', 'memory']].plot.bar(\n",
+    "    logy=True, secondary_y=['memory'], \n",
+    "    figsize=(8, 6), title=\"External time and memory\")\n",
+    "plt.savefig('external_time_and_memory_log.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 176,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)\n",
+    "performance[['elapsed', 'memory']].plot.bar(\n",
+    "    logy=False, secondary_y=['memory'], \n",
+    "    figsize=(8, 6), title=\"External time and memory\")\n",
+    "plt.savefig('external_time_and_memory_linear.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 177,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)\n",
+    "performance[['total_ticks', 'elapsed']].plot.bar(\n",
+    "    logy=True, secondary_y=['elapsed'], \n",
+    "    figsize=(8, 6), title=\"Internal vs external time\")\n",
+    "plt.savefig('internal_external_time.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 178,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)\n",
+    "performance[['total_ticks', 'elapsed']].plot.bar(\n",
+    "    logy=False, secondary_y=['elapsed'], \n",
+    "    figsize=(8, 6), title=\"Internal vs external time\")\n",
+    "plt.savefig('internal_external_time_linear.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 179,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)\n",
+    "performance[['total_alloc', 'memory']].plot.bar(\n",
+    "    logy=True, secondary_y=['memory'], \n",
+    "    figsize=(8, 6), title=\"Internal vs external memory\")\n",
+    "plt.savefig('internal_external_memory_log.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 576x432 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)\n",
+    "performance[['total_alloc', 'memory']].plot.bar(\n",
+    "    logy=False, secondary_y=['memory'], \n",
+    "    figsize=(8, 6), title=\"Internal vs external memory\")\n",
+    "plt.savefig('internal_external_memory_linear.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 181,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [],
+   "source": [
+    "# performance['elapsed_adj'] = performance['elapsed'] - 0.28\n",
+    "# performance"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [],
+   "source": [
+    "# performance[['total_time', 'elapsed_adj']].plot.bar(logy=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 194,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1440x360 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(ncols=3, figsize=(20,5))\n",
+    "\n",
+    "performance['elapsed'].plot.bar(ax=ax[2],\n",
+    "    logy=True, \n",
+    "    title=\"Run times (wall clock), log scale\",\n",
+    "#     figsize=(10,8)\n",
+    "    )\n",
+    "ax[2].set_xlabel('Program')\n",
+    "\n",
+    "performance['elapsed'].plot.bar(ax=ax[0],\n",
+    "    logy=False, \n",
+    "    title=\"Run times (wall clock), linear scale\",\n",
+    "#     figsize=(10,8)\n",
+    "    )\n",
+    "ax[0].set_xlabel('Program')\n",
+    "\n",
+    "performance['elapsed'].plot.bar(ax=ax[1],\n",
+    "    logy=False, \n",
+    "    ylim=(0, 22),\n",
+    "    title=\"Run times (wall clock), truncated linear scale\",\n",
+    "#     figsize=(10,8)\n",
+    "    )\n",
+    "ax[1].set_xlabel('Program')\n",
+    "\n",
+    "plt.savefig('run_times_combined.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 184,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 936x360 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(ncols=2, figsize=(13,5))\n",
+    "\n",
+    "performance['memory'].plot.bar(ax=ax[0],\n",
+    "    logy=True, \n",
+    "    title=\"Memory used, log scale\",\n",
+    "#     figsize=(10,8)\n",
+    "    )\n",
+    "ax[0].set_xlabel('Program')\n",
+    "\n",
+    "performance['memory'].plot.bar(ax=ax[1],\n",
+    "    logy=False, \n",
+    "    title=\"Memory used, linear scale\",\n",
+    "#     figsize=(10,8)\n",
+    "    )\n",
+    "ax[1].set_xlabel('Program')\n",
+    "\n",
+    "plt.savefig('memory_combined.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 251,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 936x360 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, ax = plt.subplots(ncols=2, figsize=(13,5))\n",
+    "\n",
+    "performance[['total_alloc', 'memory']].plot.bar(ax=ax[0],\n",
+    "    logy=False, secondary_y=['memory'], \n",
+    "    title=\"Internal vs external memory, linear scale\")\n",
+    "ax[0].set_xlabel('Program')\n",
+    "\n",
+    "performance[['total_alloc', 'memory']].plot.bar(ax=ax[1],\n",
+    "    logy=True, secondary_y=['memory'], \n",
+    "    title=\"Internal vs external memory. log scale\")\n",
+    "\n",
+    "plt.savefig('internal_external_memory_combined.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 185,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [],
+   "source": [
+    "# ax = performance['elapsed_adj'].plot.bar(logy=False, \n",
+    "#     title=\"Run times (wall clock), linear scale\",\n",
+    "#     figsize=(10,8))\n",
+    "# ax.set_xlabel('Program')\n",
+    "# plt.savefig('run_times_linear.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 186,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['total_time', 'total_alloc', 'total_ticks', 'initial_capabilities',\n",
+       "       'system', 'elapsed', 'memory'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 186,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "performance.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 187,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='program'>"
+      ]
+     },
+     "execution_count": 187,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "performance['memory'].plot.bar()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 188,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='elapsed', ylabel='total_alloc'>"
+      ]
+     },
+     "execution_count": 188,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "performance.plot.scatter('elapsed', 'total_alloc', logx=True, logy=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 189,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='memory', ylabel='total_alloc'>"
+      ]
+     },
+     "execution_count": 189,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEKCAYAAAAMzhLIAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8rg+JYAAAACXBIWXMAAAsTAAALEwEAmpwYAAAaoklEQVR4nO3df5DU9Z3n8edrxmEw4g8OqKvaAU481CvOI7rpJXshZr3U/sBLkGzwbiG5bMwSOfeW7NamLmI2SVE5K7cR97KVNdYmrBLjVRbXlazKao6rO2OwjLliSBRBY5YySTGQKnBEdBSGgXnfH92jzdjT0zPd3/7+6Nejiqrpz/dHv/mUzNvPb0UEZmZmE+lKOwAzM8s2JwozM6vLicLMzOpyojAzs7qcKMzMrC4nCjMzq+uctANoFUkrgZXnn3/+jZdddlna4ZiZ5cqePXteioh5ta6paOsoSqVS9Pf3px2GmVmuSNoTEaVa19z1ZGZmdTlRmJlZXYVJFJJWStpy/PjxtEMxMyuUwiSKiNgREesvvPDCtEMxMyuUwiQKM7OiGhwa5pmDrzA4NJzK9xdmeqyZWRE99PQhNm7fS09XFyOjo2xevZTrruxrawxuUZiZZdTg0DAbt+/l5Mgorw2f5uTIKDdv39v2lkVhEoUHs82saAaOnaCn6+xf0z1dXQwcO9HWOAqTKDyYbWZFM3/2uYyMjp5VNjI6yvzZ57Y1jsIkCjOzopkzq5fNq5cys6eL83vPYWZPF5tXL2XOrN62xuHBbDOzDLvuyj6WL57LwLETzJ99btuTBDhRmJll3pxZvakkiDHuejIzs7oylSgkXSLpbkkPVJV9SNLfSHpI0m+nGZ+ZWSdKPFFI2irpiKR948pXSHpB0gFJtwBExIsRsa76voh4MCJuBG4Afi/peM3M7GztaFHcA6yoLpDUDdwJXAssAdZKWjLJez5fecbMzNoo8UQREbuAl8cVLwMOVFoQp4D7gFW1nlfZbcB3I+JHE9yzXlK/pP6jR4+2Mnwzs46X1hhFH3Cw6vMA0CdpjqSvA1dJ+mzl2qeA3wSul3RTrZdFxJaIKEVEad68mif5mZnZNKU1PVY1yiIiBoGbxhX+FfBXk76wcmb24sWLWxOhmZkB6bUoBoAFVZ/nA4dTisXMzOpIK1HsBi6VtEjSDGAN8HAzL/ReT2ZmyWjH9NhtwFPA5ZIGJK2LiNPABmAn8Dxwf0Tsb/J7vHusmVkCFBFpx9BSpVIp+vv70w6jZQaHhlPd48XMOoOkPRFRqnWtMHs9FXEwOwsnW5mZZWoLj2YUbYwiKydbmZkVJlEUTVZOtjIzK0yiKNpgdlZOtjIzK0yiKFrXU1ZOtjIz82B2hmXhZCszM7coMm7OrF7eueCizCaJwaFhnjn4igfZzQqsMC0Kaz9P3zXrDIVpUVh7efquWecoTKIo2qynrPP0XbPOUZhEUdQxiqzy9F2zzlGYRGHt5em7Zp3Dg9k2bZ6+a9YZnCisKXNm9TpBmBWcu57MzKyuwiQKz3oyM0tGYRKFZz2ZmSWjMInCzMyS4URhZlYASe675llPZmY5l/S+a5lqUUi6RNLdkh6oV2ZmZmXt2Hct8UQhaaukI5L2jStfIekFSQck3QIQES9GxLrq+2qVmZlZWTv2XWtHi+IeYEV1gaRu4E7gWmAJsFbSkjbEYmZWKO3Ydy3xRBERu4CXxxUvAw5UWgungPuAVUnHYmZWNO3Ydy2twew+4GDV5wHg3ZLmAF8CrpL02Yj481pl418maT2wHmDhwoXJR59xg0PD3n/JrIMkve9aWolCNcoiIgaBm8YVvq2sxoNbJP0SWDljxox3tS7M/PGpc2adKcl919Ka9TQALKj6PB843MwLvTLbp86ZWTLSShS7gUslLZI0A1gDPNzMC73Xk0+dM7NktGN67DbgKeBySQOS1kXEaWADsBN4Hrg/IvY38z1uUfjUOTNLRuJjFBGxdoLyR4FHW/U9klYCKxcvXtyqV7Zds4PQY7Mfbh43RuEBbTNrhiIi7RhaqlQqRX9/f9phTFkrB6E968nMpkrSnogo1bqWqS08mpHnMYpWD0LPmdXLOxdc5CRhZi1RmESR5zEKD0KbWZYVJlHkuUXhQWgzy7LCJIo8tyjasQTfzGy6fB5FRiS9BN/MbLoKkyiKMD02ySX4ZmbT5a4nMzOrqzCJIu+SPO/WzKwZhel6yjPv+GpmWVaYFkVep8d6x1czy7rCJIq8jlF4sZ2ZZV1hEkVeebGdmWWdE0XKvNjOzLLOg9kZ4MV2ZpZlhUkUeV9w58V2ZpZVhel6yutgtplZ1hUmUZiZWTKcKMzMrC4nCjMzq8uJwszM6spUopB0iaS7JT1QVXaepG9J+htJH00zPjOzTpR4opC0VdIRSfvGla+Q9IKkA5JuAYiIFyNi3bhXfBh4ICJuBK5LOl4zMztbO1oU9wArqgskdQN3AtcCS4C1kpZM8Px84GDl5zMJxWhmZhNIPFFExC7g5XHFy4ADlRbEKeA+YNUErxignCxggnglrZfUL6n/6NGjrQjbzMwq0hqj6OOtVgKUk0GfpDmSvg5cJemzlWvfAVZL+mtgR62XRcSWiChFRGnevHmJBm5m1mnS2sJDNcoiIgaBm8YVvg58YtIX5nwLDzOzrEqrRTEALKj6PB84nFIsZmZWR1qJYjdwqaRFkmYAa4CHm3mh93oyM0tGO6bHbgOeAi6XNCBpXUScBjYAO4HngfsjYn+T35PLo1DNzLJOETH5TdLvAo9FxPHK54uAayLiwUSjm4ZSqRT9/f1ph2FmliuS9kREqda1RlsUm8aSBEBEvAJsakFsLeMWhZlZMhpNFLXuy9ShRx6jMDNLRqOJol/SVyT9y8p+TH8J7EkysKlyi8LMLBmNJopPAaeAvwP+HjgJ/FFSQU2HWxRmZsloqPuosujtFkkXAKMRMZRsWGZmlhUNtSgk/RtJPwaeBfZL2iPpimRDmxp3PeXf4NAwzxx8hcGh4bRDMbMqjQ5IfwP4dER8D0DSNcAW4D3JhDV1EbED2FEqlW5MOxabuoeePsTG7Xvp6epiZHSUzauXct2VfWmHZWY0PkZx3liSAIiIx4HzEonIOs7g0DAbt+/l5Mgorw2f5uTIKDdv3+uWhVlGNJooXpT0BUkXV/58HvhZkoFZ5xg4doKerrP/U+zp6mLg2ImUIjKzao0mij8A5lHe8vsfKj9PuqNrO3mMIr/mzz6XkdHRs8pGRkeZP/vclCIys2oNJYqIOBYRfxwRvxoRV0XEn0TEsaSDmwpPj82vObN62bx6KTN7uji/9xxm9nSxefVS5szqTTs0M2OSwWxJO4AJN4OKCJ9hbS1x3ZV9LF88l4FjJ5g/+1wnCbMMmWzW01+0JQozyi0LJwiz7KmbKCLi++0KxMzMsmmyrqdnqd/1tLTlEZmZWaZM1vX0wbZE0QJ5PjN7cGjYffNmllkNHVyUJ3k7uMgrks0sC5o+uEjSr0vaLWlI0ilJZyS92towO49XJJtZHjS64O5rwFrgn4BzgU8CdyQVVKfwimQzy4OGT6mLiAOSuiPiDPBNST9IMK6O4BXJZpYHjbYo3pA0A3ha0mZJf0qbNgWUtETS/ZL+WtL17fjOdvGKZDPLg0ZbFB+jnFQ2AH8KLABWT/dLJW2lPKPqSERcUVW+Avgq0A3cFRFfBq4F7oiIJyQ9DDww3e/NIq9INrOsa8msJ0nbI6LhxCHpfcAQcO9YopDUDfwU+C1gANhNeVzkJWAT8AbwnohYXu/deZv1ZGaWBU3PemrAJVO5OSJ2AS+PK14GHIiIFyPiFHAfsCoijkTEHwG3UE4aZmbWRg0PZk+iFYsx+oCDVZ8HgHdLuhj4M8pjIrfXelDSemA9wMKFC1sQipmZjWlVomgF1SiLiPg5lSQwkYjYIumXwMoZM2a8K4ngzMw6Vau6nmr9kp+qAcqD5GPmA4cbfdjnUeTP4NAwzxx8xQsMzTKuVS2KjS14x27gUkmLgEPAGuAjjT6c572eOpG3LjHLj+nuHivK3UJLKf/wv6fypZK2AdcAcyUNAJsi4m5JG4CdlKfHbo2I/VN5r+VD9dYlJykvOLx5+16WL57r6cFmGZTK7rERsXaC8keBR6f5zh3AjlKpdGMzsVnyxrYuGUsS8NbWJU4UZtkz2cFFv2hXIM1y11N+eOsSs3wpzO6xHszOD29dYpYvjQ5mf43y4PLfAyXg9wH/r7tNm7cuMcuPwuwe666n/Jkzq9cJwiwHMr97bKPc9WRmloxGE0X17rGvU14Y9+GkguokXnRmZlnXaNfThyLiq8BJ4IsAkv6E8pbgmZDHricvOjOzPGi0RfHxGmU3tDCOpuWt68nnZZtZXky2Mnst5W00FlUODRpzATCYZGBF50VnZpYXk3U9/QD4JTAX+B9V5a8Be5MKqhNMtuhscGjYU0fNLBPqdj1FxC8i4vGI+LfAT4DzK38GIuJ0OwJslKSVkrYcP3487VAaUm/R2UNPH2L5bY/xn+76fyy/7TEefvpQ2uGaWQdr6ChUSf8B+AvgccobAl4NfCYiMnd+dV6OQh1rMZw3o5vXT515s+UwODTM8tse4+TIW62NmT1dPLnx/W5ZmFli6h2F2uisp88DvxYRRyovnAf8HyBziSIPas12eueCiwCPXZhZ9jQ666lrLElUDE7hWasy2Wwnb5hnZlnT6C/770raKekGSTcAjzDN7cA73ViLodpYiwG8YZ6ZZU+jXU8BfAN4L+Uxii3ArycV1HTkZcFdIy0Gb5hnZlnS6GD2jyLiV8eV7R074S5L8jCY/fDTh7jZK7LNLEOmPZgt6Q+B/wJcIql63cT5wJOtC7GzuMVgZnkyWdfT3wLfBf4cuKWq/LWIeDmxqDqAt9g2s7yY7CjU48BxoOYZ12ZmVnye4mpmZnU1fMJdWiQtpHwU60vATyPiyymHZGbWUVJpUUjaKumIpH3jyldIekHSAUljYyKXAY9ExB8AS9oerJlZh0ur6+keYEV1gaRu4E7gWsoJYa2kJcCPgTWSHgO+1+Y4zcw6XiqJIiJ2AeNnTS0DDkTEixFxCrgPWAV8AtgUEe8HPlDrfZLWS+qX1H/06NEkQzcz6zhZGszuAw5WfR6olP0v4I8lfR34ea0HI2JLRJQiojRv3rzEAzUz6yRZGsxWjbKIiH3A9ZM+nJMtPCbjA4vMLGuylCgGgAVVn+cDh1OKJRW1th/31h5mlrYsdT3tBi6VtEjSDGAN8PAkz7wpInZExPoLL7wwsQCTNNn242ZmaUlreuw24CngckkDktZVjlbdAOwEngfuj4j9U3hnro5CHW+y7cfNzNKSStdTRNTcEiQiHmWa51xExA5gR6lUurGZ2NLiA4vMLKuy1PXUlLy3KHxgkZllVUPnUeRJHs6jqMeznswsDdM+jyJPijI9tpXbjzvpmFkrFCZR5H2MotU81dbMWqUwYxT2Fk+1NbNWKkyiyPtgdit5qq2ZtVJhEkXeF9y1kqfamlkrFSZR2Fs81dbMWqkwg9l2tuuu7GP54rme9WRmTStMoijK9NhWauVUWzPrXIXpevIYhZlZMgqTKMzMLBlOFGZmVpcThZmZ1VWYROEFd2ZmyShMovBgtplZMgqTKMzMLBlOFGZmVpcThZmZ1eVEkbDBoWGeOfiKt/g2s9zK/BYekq4GPko51iUR8Z6UQ2pYvcODfPqcmeVFKolC0lbgg8CRiLiiqnwF8FWgG7grIr4cEU8AT0j6ELA7jXino/rwoJOUt/z+zAPPcNE7ejj48glufeQ5nz5nZrmQVtfTPcCK6gJJ3cCdwLXAEmCtpCVVt3wE2NauAJtV6/Cg4dPBf/6fe/jcg/t8+pyZ5UYqiSIidgEvjyteBhyIiBcj4hRwH7AKQNJC4HhEvNreSKev1uFBACdG3l7m0+fMLMuyNJjdBxys+jxQKQNYB3xzogclrZfUL6n/6NGjCYbYuOrDg97R0133Xp8+Z2ZZlqXBbNUoC4CI2FTvwYjYIumXwMoZM2a8K4ngpmPs8KD9h1/lxnv7GT59dmvivN5uzoyGT58zs0zLUqIYABZUfZ4PHG704YjYAewolUo3tjqwZsyZ1cv7LpvH7dcv5eaqGVBf+MASrui70LOezCzzspQodgOXSloEHALWUB7AbkhWT7gbmwa7fPFcntz4fk+JNbPcSWt67DbgGmCupAFgU0TcLWkDsJPy9NitEbE/jfhapd46CjOzvFBEpB1DS5VKpejv7087DAaHhll+22OcrJrlNLOniyc3vt+tCTPLHEl7IqJU61qWZj01JWvnUQwcO0G3zh6f9zRYM8ujwiSKrJ1Hse/QcV4/deasMk+DNbM8KkyiyJLBoWFufeS5t5V/4QNL3O1kZrlTmESRpa6nWtt3nNfbzRV92WjtmJlNRWESRZa6nmpt33FmNNztZGa5VJhEkRVj6ya+8MElzOzp4vzec5jZ0+XV12aWW1lacNeULCy4+/YPf8EXd+ynp7uLMxFefW1mhVCYFkXaXU/f/uEv+NyD+zh1Jnj91BlOjoxy6yPPOUmYWe4VJlGkaXBomE0Pv30RebfkdRNmlntOFC2w//BxTo++fYX7qTNeN2Fm+VeYRJHu9NhaO6TDJ9+7yN1OZpZ7hUkUaY5R/OtfuYBzxtVkt+CTV1/S9ljMzFqtMIkiTXNm9fKV/3glveeId/R003uO+Mvfu9KtCTMrhMJMj03b2Gl2Pm/CzIrGiaKF5szqdYIws8IpTNdTlvZ6MjMrksIkirQX3JmZFVVhEoWZmSXDicLMzOpyojAzs7qcKMzMrK7MT4+V1AXcClwA9EfEt1IOycyso6TSopC0VdIRSfvGla+Q9IKkA5JuqRSvAvqAEWCg3bGamXW6tLqe7gFWVBdI6gbuBK4FlgBrJS0BLgeeiohPA3/Y5jjNzDpeKokiInYBL48rXgYciIgXI+IUcB/l1sQAcKxyz5la75O0XlK/pP6jR48mFbaZWUfK0mB2H3Cw6vNApew7wO9IugPYVevBiNgCfBH40YwZM5KO08yso2RpMLvWoQ4REW8A6yZ7OCJ2ADtKpdKNLY/MzKyDZalFMQAsqPo8Hzjc6MOt2OtpcGiYZw6+wuDQcN0yM7NOkqUWxW7gUkmLgEPAGuAjjT7cbIvioacPsXH7Xnq6uhgZHWXz6qUEvK3suiv7pvN6M7PcSiVRSNoGXAPMlTQAbIqIuyVtAHYC3cDWiNg/hXeuBFYuXrx4yvEMDg2zcfteTo6McpJRAD7zwF4gGD4db5bdvH0vyxfP9VbiZtZRUkkUEbF2gvJHgUen+c5ptygGjp2gp6vrzYQA0N0lCFE90aqnq4uBYyecKMyso2RpjKIpzYxRzJ99LiOjo2eVnRkNzsTZZSOjo8yffW5TcZqZ5U1hEkUz51HMmdXL5tVLmdnTxfm95zCzp4vbr1/K7de/86yyzauXujVhZh0nS4PZTWlmjAImPvPa52CbWadTRKQdQ0uVSqXo7+9POwwzs1yRtCciSrWuFabryczMklGYRNGKBXdmZvZ2hUkUzQxmm5nZxAqTKMzMLBlOFGZmVlfhpscCr0o6AtQbrLiwzvWJrtUqb6RsLvBSnVhapd7fqZXPNnLvVOu3yHU7leeTqNuJyseXFb1uG7m3aHVb67vr+RcTXomIwv0Btkz3+kTXapU3Ukb5nO/U/86teraRe6dav0Wu26k8n0TdTqEuC123jdxbtLptRf2O/Slq19OOJq5PdK1WeaNl7dDM907l2UbunWr9Frlup/J8EnU7Ufn4sqLXbSP3Fq1uW/bdhVtwlzWS+mOCRSzWHNdtcly3yclj3Ra1RZElW9IOoMBct8lx3SYnd3XrFoWZmdXlFoWZmdXlRGFmZnU5UZiZWV1OFG0m6TxJeyR9MO1YikbSNZKekPR1SdekHU+RSOqS9CVJd0j6eNrxFImkqyv/zd4l6Qdpx1OLE0WTJG2VdETSvnHlKyS9IOmApFuqLm0E7m9vlPk1xfoNYAiYCQy0O9a8mWLdrgL6gBFct5OaSt1GxBMRcRPwj8C30oh3Mp711CRJ76P8y+neiLiiUtYN/BT4Lcr/qHYDa4Ffobx8fybwUkT8YypB58gU6/cnETEq6Z8DX4mIj6YUdi5MsW6vA45FxDckPRAR16cUdi5MpW4j4rnK9fuBT0bEq+lEPbHC7PWUlojYJeniccXLgAMR8SKApPso/x/ZLOA8YAlwQtKjETHaznjzZir1O/YPDjgG+NzaSUzxv92DwKnKPWfaFmROTbFun5O0EDiexSQBThRJ6aP8D2vMAPDuiNgAIOkGyi0KJ4npqVm/kj4M/A5wEfC1FOIqgpp1C3wVuEPS1cCuNAIrgInqFmAd8M22R9QgJ4pkqEbZm318EXFP+0IppJr1GxHfAb7T7mAKZqK6fYPyLzObvgl/L0TEpjbHMiUezE7GALCg6vN84HBKsRSR6zc5rtvk5LZunSiSsRu4VNIiSTOANcDDKcdUJK7f5Lhuk5PbunWiaJKkbcBTwOWSBiSti4jTwAZgJ/A8cH9E7E8zzrxy/SbHdZucotWtp8eamVldblGYmVldThRmZlaXE4WZmdXlRGFmZnU5UZiZWV1OFGZmVpcThZmZ1eVEYZYDkrwvm6XGicKsDkkXS/pJ5fSxfZK+Lek3JT0p6Z8kLaucWrhV0m5JP5a0qvLsDZIelLRD0s8kbZD06co9P5T0zyr3XVn5vFfSP0iaXSl/XNJ/l/R94HOVd/RUrl0g6edjn82S5ERhNrnFlLfZXgr8K+AjwHuB/wr8GfA54LGI+DXg3wG3Szqv8uwVlfuXAV8C3oiIqyhv7/D7lXvuBTZGxFLgWaB6J9GLIuI3IuKLwOPAByrla4DtETHS+r+u2dmcKMwm97OIeLZyfsh+4P9Gee+bZ4GLgd8GbpH0NOVf5jOBhZVnvxcRr0XEUeA4sKNS/ixwsaQLKSeD71fKvwW8r+q7/67q57uAT1R+/gQZPr/AisX9nmaTG676ebTq8yjlf0NngNUR8UL1Q5Le3cCzk3l97IeIeLLSFfYbQHdE7KvznFnLuEVh1rydwKckCUDSVY0+GBHHgWOVk+MAPgZ8v84j9wLbcGvC2siJwqx5twI9wF5J+yqfp+LjlMc19gJXAv+tzr3fBmZTThZmbeFtxs1yRNL1wKqI+FjasVjn8BiFWU5IugO4Fvj3acdincUtCjMzq8tjFGZmVpcThZmZ1eVEYWZmdTlRmJlZXU4UZmZWlxOFmZnV9f8B+ksII1Y51DQAAAAASUVORK5CYII=\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "performance.plot.scatter('memory', 'total_alloc', logx=True, logy=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 190,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='elapsed', ylabel='total_ticks'>"
+      ]
+     },
+     "execution_count": 190,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "performance.plot.scatter('elapsed', 'total_ticks', logx=True, logy=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 191,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [],
+   "source": [
+    "performance[['total_alloc', 'memory', 'elapsed']].to_csv('performance.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 192,
+   "metadata": {
+    "Collapsed": "false"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "| program   |   total_alloc |   elapsed |   memory |\n",
+      "|:----------|--------------:|----------:|---------:|\n",
+      "| advent01  |      11516576 |      0.02 |    10488 |\n",
+      "| advent02  |       9613016 |      0.02 |    11112 |\n",
+      "| advent03  |       6018112 |      0.02 |    10408 |\n",
+      "| advent04  |       2913824 |      0.01 |     9040 |\n",
+      "| advent05  |       3396888 |      0.01 |     9324 |\n",
+      "| advent06  |       5025888 |      0.02 |    10124 |\n",
+      "| advent07  |       3049136 |      0.01 |     9192 |\n",
+      "| advent08  |     214597512 |      0.09 |    12204 |\n",
+      "| advent09  |      39708256 |      0.06 |    23660 |\n",
+      "| advent10  |        631808 |      0.01 |     6800 |\n",
+      "| advent11  |     655812832 |      0.36 |    66664 |\n",
+      "| advent12  |    1598902400 |      1.09 |    13264 |\n",
+      "| advent13  |      10281760 |      0.01 |    12300 |\n",
+      "| advent14  |     258169680 |      0.85 |    15068 |\n",
+      "| advent15  |  126607950592 |    137.27 | 18101260 |\n",
+      "| advent16  |  296137053800 |    144.64 |    45628 |\n",
+      "| advent17  |   77649009464 |     20.67 |    22000 |\n",
+      "| advent18  |      68244096 |      0.06 |    14060 |\n",
+      "| advent19  | 1964531122296 |   1134.12 | 14295324 |\n",
+      "| advent20  |   55860434768 |     15.04 |    13940 |\n",
+      "| advent21  |     351135824 |      0.40 |    12680 |\n",
+      "| advent22  |  528445105288 |      0.23 |    15908 |\n",
+      "| advent23  |   26387446504 |    370.18 |    13628 |\n",
+      "| advent24  |    3268072336 |      2.74 |    74820 |\n",
+      "| advent25  |        642496 |      0.01 |     5896 |\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(performance[['total_alloc', 'elapsed', 'memory']].to_markdown(floatfmt=['0.0f', '0.0f', '.2f', '0.0f']))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 232,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "advent01     22\n",
+       "advent02     93\n",
+       "advent03     51\n",
+       "advent04     57\n",
+       "advent05    105\n",
+       "advent06     30\n",
+       "advent07    137\n",
+       "advent08     76\n",
+       "advent09     97\n",
+       "advent10     76\n",
+       "advent11    148\n",
+       "advent12    155\n",
+       "advent13     61\n",
+       "advent14    107\n",
+       "advent15     91\n",
+       "advent16    274\n",
+       "advent17    171\n",
+       "advent18     72\n",
+       "advent19    221\n",
+       "advent20     56\n",
+       "advent21    118\n",
+       "advent22    269\n",
+       "advent23    215\n",
+       "advent24    224\n",
+       "advent25     52\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 232,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "line_counts = ! find .. -path ../dist-newstyle -prune -o -type f -name \"Main.hs\" -exec wc -l {} \\;\n",
+    "count_names = [re.search(\"(\\d+) \\.\\./([^/]+)\", l).groups([2, 1]) for l in line_counts if 'advent' in l if 'Main' in l]\n",
+    "program_counts = pd.Series({n: int(c) for n, c in sorted([(c, n) for n, c in count_names])})\n",
+    "program_counts"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 243,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "program_counts[::-1].plot.barh(figsize=(6, 9))\n",
+    "plt.savefig('lines_of_code.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 236,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "|          |   0 |\n",
+      "|:---------|----:|\n",
+      "| advent01 |  22 |\n",
+      "| advent02 |  93 |\n",
+      "| advent03 |  51 |\n",
+      "| advent04 |  57 |\n",
+      "| advent05 | 105 |\n",
+      "| advent06 |  30 |\n",
+      "| advent07 | 137 |\n",
+      "| advent08 |  76 |\n",
+      "| advent09 |  97 |\n",
+      "| advent10 |  76 |\n",
+      "| advent11 | 148 |\n",
+      "| advent12 | 155 |\n",
+      "| advent13 |  61 |\n",
+      "| advent14 | 107 |\n",
+      "| advent15 |  91 |\n",
+      "| advent16 | 274 |\n",
+      "| advent17 | 171 |\n",
+      "| advent18 |  72 |\n",
+      "| advent19 | 221 |\n",
+      "| advent20 |  56 |\n",
+      "| advent21 | 118 |\n",
+      "| advent22 | 269 |\n",
+      "| advent23 | 215 |\n",
+      "| advent24 | 224 |\n",
+      "| advent25 |  52 |\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(program_counts.to_markdown())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 245,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "97.0"
+      ]
+     },
+     "execution_count": 245,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "program_counts.median()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "jupytext": {
+   "formats": "ipynb,md"
+  },
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/profiling/profiling.md b/profiling/profiling.md
new file mode 100644
index 0000000..88811ae
--- /dev/null
+++ b/profiling/profiling.md
@@ -0,0 +1,360 @@
+---
+jupyter:
+  jupytext:
+    formats: ipynb,md
+    text_representation:
+      extension: .md
+      format_name: markdown
+      format_version: '1.3'
+      jupytext_version: 1.11.1
+  kernelspec:
+    display_name: Python 3 (ipykernel)
+    language: python
+    name: python3
+---
+
+```python Collapsed="false"
+import glob
+import json
+import pandas as pd
+import numpy as np
+import datetime
+import re
+
+import matplotlib.pyplot as plt
+%matplotlib inline
+```
+
+```python
+! cd .. && cabal install
+```
+
+```python Collapsed="false" tags=[]
+! cd .. && for i in {01..25}; do cabal run advent${i} --enable-profiling -- +RTS -N -pj -s -hT ; done
+```
+
+```python
+! rm ../times.csv
+! rm ../times_raw.csv
+```
+
+```python Collapsed="false" tags=[]
+! cd .. && for i in {01..25}; do /usr/bin/time -f "%C,%S,%E,%M" -o times.csv -a cabal run advent${i}; done
+```
+
+```python Collapsed="false" tags=[]
+! cd .. && for i in {01..25}; do /usr/bin/time -f "%C,%S,%E,%M" -o times_raw.csv -a advent${i}; done
+```
+
+```python
+!mv ../*prof .
+```
+
+```python
+!mv ../times.csv .
+```
+
+```python
+!mv ../times_raw.csv .
+```
+
+```python
+!mv ../*hp .
+```
+
+```python
+! for f in *hp ; do hp2ps ${f} ; done
+```
+
+```python Collapsed="false"
+glob.glob('*prof')
+```
+
+```python Collapsed="false"
+profs = []
+for fn in glob.glob('*prof'):
+    with open(fn) as f:
+        j = json.load(f)
+        prof = {}
+        for n in 'program total_time total_alloc total_ticks initial_capabilities'.split():
+            prof[n] = j[n]
+        profs.append(prof)
+profs
+```
+
+```python Collapsed="false"
+performance = pd.DataFrame(profs).set_index('program').sort_index()
+performance
+```
+
+```python Collapsed="false"
+performance.total_ticks.plot.bar()
+```
+
+```python Collapsed="false"
+performance.total_ticks.plot.bar(logy=True)
+```
+
+```python Collapsed="false"
+performance.total_alloc.plot.bar()
+```
+
+```python Collapsed="false"
+performance.total_alloc.plot.bar(logy=True)
+```
+
+```python Collapsed="false"
+performance[['total_ticks', 'total_alloc']].plot.bar(
+    logy=True, secondary_y=['total_alloc'], 
+    figsize=(8, 6), title="Internal time and memory")
+plt.savefig('internal_time_and_memory_log.png')
+```
+
+```python Collapsed="false"
+performance[['total_ticks', 'total_alloc']].plot.bar(
+    logy=False, secondary_y=['total_alloc'], 
+    figsize=(8, 6), title="Internal time and memory")
+plt.savefig('internal_time_and_memory_linear.png')
+```
+
+```python
+# times = pd.read_csv('times.csv', 
+#                     names=['program', 'system', 'elapsed', 'memory'], 
+#                     index_col='program')
+# times.index = times.index.str.slice(start=len('cabal run '))
+# times.elapsed = pd.to_numeric(times.elapsed.str.slice(start=2))
+# times
+```
+
+```python
+today = datetime.date.today()
+today = datetime.datetime(year=today.year, month=today.month, day=today.day) - datetime.timedelta(seconds=1)
+today
+```
+
+```python
+epoch = datetime.datetime(year=1900, month=1, day=1)
+epoch
+```
+
+```python
+times = pd.read_csv('times_raw.csv', 
+                    names=['program', 'system', 'elapsed', 'memory'], 
+                    index_col='program')
+times.elapsed = (pd.to_datetime(times.elapsed, format="%M:%S.%f") - epoch)
+times.elapsed = times.elapsed.apply(lambda x: x.total_seconds())
+times
+```
+
+```python
+times.dtypes
+```
+
+```python Collapsed="false"
+times.describe()
+```
+
+```python Collapsed="false"
+performance = performance.merge(times, left_index=True, right_index=True)
+# performance.drop(index='advent15loop', inplace=True)
+performance
+```
+
+```python Collapsed="false"
+performance.columns
+```
+
+```python
+# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)
+performance.elapsed.plot.bar(
+    figsize=(8, 6), title="External time")
+plt.savefig('external_time.png')
+```
+
+```python
+# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)
+performance[['elapsed', 'memory']].plot.bar(
+    logy=False, secondary_y=['memory'], 
+    figsize=(8, 6), title="External time and memory")
+plt.savefig('external_time_and_memory.png')
+```
+
+```python
+# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)
+performance[['elapsed', 'memory']].plot.bar(
+    logy=True, secondary_y=['memory'], 
+    figsize=(8, 6), title="External time and memory")
+plt.savefig('external_time_and_memory_log.png')
+```
+
+```python Collapsed="false"
+# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)
+performance[['elapsed', 'memory']].plot.bar(
+    logy=False, secondary_y=['memory'], 
+    figsize=(8, 6), title="External time and memory")
+plt.savefig('external_time_and_memory_linear.png')
+```
+
+```python Collapsed="false"
+# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)
+performance[['total_ticks', 'elapsed']].plot.bar(
+    logy=True, secondary_y=['elapsed'], 
+    figsize=(8, 6), title="Internal vs external time")
+plt.savefig('internal_external_time.png')
+```
+
+```python Collapsed="false"
+# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)
+performance[['total_ticks', 'elapsed']].plot.bar(
+    logy=False, secondary_y=['elapsed'], 
+    figsize=(8, 6), title="Internal vs external time")
+plt.savefig('internal_external_time_linear.png')
+```
+
+```python Collapsed="false"
+# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)
+performance[['total_alloc', 'memory']].plot.bar(
+    logy=True, secondary_y=['memory'], 
+    figsize=(8, 6), title="Internal vs external memory")
+plt.savefig('internal_external_memory_log.png')
+```
+
+```python Collapsed="false"
+# performance[['total_ticks', 'elapsed']].plot.bar(logy=True)
+performance[['total_alloc', 'memory']].plot.bar(
+    logy=False, secondary_y=['memory'], 
+    figsize=(8, 6), title="Internal vs external memory")
+plt.savefig('internal_external_memory_linear.png')
+```
+
+```python Collapsed="false"
+# performance['elapsed_adj'] = performance['elapsed'] - 0.28
+# performance
+```
+
+```python Collapsed="false"
+# performance[['total_time', 'elapsed_adj']].plot.bar(logy=True)
+```
+
+```python Collapsed="false"
+fig, ax = plt.subplots(ncols=3, figsize=(20,5))
+
+performance['elapsed'].plot.bar(ax=ax[2],
+    logy=True, 
+    title="Run times (wall clock), log scale",
+#     figsize=(10,8)
+    )
+ax[2].set_xlabel('Program')
+
+performance['elapsed'].plot.bar(ax=ax[0],
+    logy=False, 
+    title="Run times (wall clock), linear scale",
+#     figsize=(10,8)
+    )
+ax[0].set_xlabel('Program')
+
+performance['elapsed'].plot.bar(ax=ax[1],
+    logy=False, 
+    ylim=(0, 22),
+    title="Run times (wall clock), truncated linear scale",
+#     figsize=(10,8)
+    )
+ax[1].set_xlabel('Program')
+
+plt.savefig('run_times_combined.png')
+```
+
+```python Collapsed="false"
+fig, ax = plt.subplots(ncols=2, figsize=(13,5))
+
+performance['memory'].plot.bar(ax=ax[0],
+    logy=True, 
+    title="Memory used, log scale",
+#     figsize=(10,8)
+    )
+ax[0].set_xlabel('Program')
+
+performance['memory'].plot.bar(ax=ax[1],
+    logy=False, 
+    title="Memory used, linear scale",
+#     figsize=(10,8)
+    )
+ax[1].set_xlabel('Program')
+
+plt.savefig('memory_combined.png')
+```
+
+```python
+fig, ax = plt.subplots(ncols=2, figsize=(13,5))
+
+performance[['total_alloc', 'memory']].plot.bar(ax=ax[0],
+    logy=False, secondary_y=['memory'], 
+    title="Internal vs external memory, linear scale")
+ax[0].set_xlabel('Program')
+
+performance[['total_alloc', 'memory']].plot.bar(ax=ax[1],
+    logy=True, secondary_y=['memory'], 
+    title="Internal vs external memory. log scale")
+
+plt.savefig('internal_external_memory_combined.png')
+```
+
+```python Collapsed="false"
+# ax = performance['elapsed_adj'].plot.bar(logy=False, 
+#     title="Run times (wall clock), linear scale",
+#     figsize=(10,8))
+# ax.set_xlabel('Program')
+# plt.savefig('run_times_linear.png')
+```
+
+```python Collapsed="false"
+performance.columns
+```
+
+```python Collapsed="false"
+performance['memory'].plot.bar()
+```
+
+```python Collapsed="false"
+performance.plot.scatter('elapsed', 'total_alloc', logx=True, logy=True)
+```
+
+```python Collapsed="false"
+performance.plot.scatter('memory', 'total_alloc', logx=True, logy=True)
+```
+
+```python Collapsed="false"
+performance.plot.scatter('elapsed', 'total_ticks', logx=True, logy=True)
+```
+
+```python Collapsed="false"
+performance[['total_alloc', 'memory', 'elapsed']].to_csv('performance.csv')
+```
+
+```python Collapsed="false"
+print(performance[['total_alloc', 'elapsed', 'memory']].to_markdown(floatfmt=['0.0f', '0.0f', '.2f', '0.0f']))
+```
+
+```python
+line_counts = ! find .. -path ../dist-newstyle -prune -o -type f -name "Main.hs" -exec wc -l {} \;
+count_names = [re.search("(\d+) \.\./([^/]+)", l).groups([2, 1]) for l in line_counts if 'advent' in l if 'Main' in l]
+program_counts = pd.Series({n: int(c) for n, c in sorted([(c, n) for n, c in count_names])})
+program_counts
+```
+
+```python
+program_counts[::-1].plot.barh(figsize=(6, 9))
+plt.savefig('lines_of_code.png')
+```
+
+```python
+print(program_counts.to_markdown())
+```
+
+```python
+program_counts.median()
+```
+
+```python
+
+```
diff --git a/profiling/run_times_combined.png b/profiling/run_times_combined.png
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literal 0
HcmV?d00001

diff --git a/profiling/time-results.csv b/profiling/time-results.csv
new file mode 100644
index 0000000..04e90b6
--- /dev/null
+++ b/profiling/time-results.csv
@@ -0,0 +1,27 @@
+Program,Elapsed time (s),Max memory
+advent01, 00.39, 72440
+advent02, 00.41, 72440
+advent03, 00.37, 72504
+advent04, 00.43, 72504
+advent05, 00.43, 72440
+advent06, 00.41, 72504
+advent07, 00.39, 72444
+advent08, 00.44, 72508
+advent09, 00.66, 72508
+advent10, 00.36, 72444
+advent11, 16.75, 72504
+advent12, 00.38, 72508
+advent13, 00.36, 72436
+advent14, 00.61, 72508
+advent15, 02.15, 240372
+advent15loop, 01.88, 240444
+advent16, 00.38, 72444
+advent17, 01.77, 72444
+advent18, 00.39, 72444
+advent19, 00.46, 72504
+advent20, 04.12, 72436
+advent21, 00.39, 72508
+advent22, 02.02, 72500
+advent23, 01.91, 95500
+advent24, 03.48, 72504
+advent25, 00.41, 72504
diff --git a/profiling/time-results.md b/profiling/time-results.md
new file mode 100644
index 0000000..70c50c0
--- /dev/null
+++ b/profiling/time-results.md
@@ -0,0 +1,27 @@
+| Program  | Elapsed time (mm:ss) | Max memory  |
+| advent01 | 0:00.39 | 72440 |
+| advent02 | 0:00.41 | 72440 |
+| advent03 | 0:00.37 | 72504 |
+| advent04 | 0:00.43 | 72504 |
+| advent05 | 0:00.43 | 72440 |
+| advent06 | 0:00.41 | 72504 |
+| advent07 | 0:00.39 | 72444 |
+| advent08 | 0:00.44 | 72508 |
+| advent09 | 0:00.66 | 72508 |
+| advent10 | 0:00.36 | 72444 |
+| advent11 | 0:16.75 | 72504 |
+| advent12 | 0:00.38 | 72508 |
+| advent13 | 0:00.36 | 72436 |
+| advent14 | 0:00.61 | 72508 |
+| advent15 | 0:02.15 | 240372 |
+| advent15loop | 0:01.88 | 240444 |
+| advent16 | 0:00.38 | 72444 |
+| advent17 | 0:01.77 | 72444 |
+| advent18 | 0:00.39 | 72444 |
+| advent19 | 0:00.46 | 72504 |
+| advent20 | 0:04.12 | 72436 |
+| advent21 | 0:00.39 | 72508 |
+| advent22 | 0:02.02 | 72500 |
+| advent23 | 0:01.91 | 95500 |
+| advent24 | 0:03.48 | 72504 |
+| advent25 | 0:00.41 | 72504 |
diff --git a/profiling/times.csv b/profiling/times.csv
new file mode 100644
index 0000000..89d3e47
--- /dev/null
+++ b/profiling/times.csv
@@ -0,0 +1,25 @@
+cabal run advent01,0.03,0:00.35,81704
+cabal run advent02,0.03,0:00.28,81708
+cabal run advent03,0.03,0:00.29,81712
+cabal run advent04,0.03,0:00.28,81212
+cabal run advent05,0.03,0:00.29,81708
+cabal run advent06,0.03,0:00.33,81700
+cabal run advent07,0.04,0:00.33,81704
+cabal run advent08,0.07,0:00.35,81216
+cabal run advent09,0.02,0:00.34,81708
+cabal run advent10,0.03,0:00.27,81700
+cabal run advent11,0.13,0:00.71,81712
+cabal run advent12,0.14,0:01.16,81708
+cabal run advent13,0.04,0:00.27,81212
+cabal run advent14,0.04,0:01.18,81708
+cabal run advent15,19.38,2:13.30,18018836
+cabal run advent16,16.38,2:26.46,81704
+cabal run advent17,4.27,0:21.79,81220
+cabal run advent18,0.05,0:00.36,81712
+cabal run advent19,86.14,19:05.60,15398736
+cabal run advent20,3.22,0:18.54,210392
+cabal run advent21,0.34,0:03.20,271008
+cabal run advent22,0.05,0:00.49,81712
+cabal run advent23,2.61,6:20.63,331416
+cabal run advent24,0.63,0:07.22,331760
+cabal run advent25,0.43,0:01.86,144388
diff --git a/profiling/times_raw.csv b/profiling/times_raw.csv
new file mode 100644
index 0000000..5247c14
--- /dev/null
+++ b/profiling/times_raw.csv
@@ -0,0 +1,25 @@
+advent01,0.00,0:00.02,10488
+advent02,0.00,0:00.02,11112
+advent03,0.00,0:00.02,10408
+advent04,0.00,0:00.01,9040
+advent05,0.01,0:00.01,9324
+advent06,0.01,0:00.02,10124
+advent07,0.00,0:00.01,9192
+advent08,0.02,0:00.09,12204
+advent09,0.01,0:00.06,23660
+advent10,0.00,0:00.01,6800
+advent11,0.07,0:00.36,66664
+advent12,0.06,0:01.09,13264
+advent13,0.01,0:00.01,12300
+advent14,0.01,0:00.85,15068
+advent15,20.65,2:17.27,18101260
+advent16,15.74,2:24.64,45628
+advent17,3.94,0:20.67,22000
+advent18,0.02,0:00.06,14060
+advent19,87.22,18:54.12,14295324
+advent20,2.81,0:15.04,13940
+advent21,0.02,0:00.40,12680
+advent22,0.02,0:00.23,15908
+advent23,1.87,6:10.18,13628
+advent24,0.24,0:02.74,74820
+advent25,0.00,0:00.01,5896
-- 
2.34.1


From ef8354646420ae6364603d2fea33955cf87c3a53 Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Thu, 29 Dec 2022 16:09:33 +0000
Subject: [PATCH 10/16] Optimising day 15

---
 README.md                      |   3 +
 advent-of-code22.cabal         |  34 +++++++++-
 advent15/Main.hs               |  54 ++++++++++++----
 advent15/MainDirectParallel.hs | 115 +++++++++++++++++++++++++++++++++
 advent15/MainLazy.hs           |  99 ++++++++++++++++++++++++++++
 advent15/MainOriginal.hs       |  91 ++++++++++++++++++++++++++
 advent15/MainSorted.hs         | 102 +++++++++++++++++++++++++++++
 advent15/advent15.png          | Bin 0 -> 67626 bytes
 advent15/advent15directpar.png | Bin 0 -> 46558 bytes
 advent15/advent15lazy.png      | Bin 0 -> 25751 bytes
 advent15/advent15times.csv     |   9 +++
 advent15/advent15times.md      |   7 ++
 12 files changed, 499 insertions(+), 15 deletions(-)
 create mode 100644 advent15/MainDirectParallel.hs
 create mode 100644 advent15/MainLazy.hs
 create mode 100644 advent15/MainOriginal.hs
 create mode 100644 advent15/MainSorted.hs
 create mode 100644 advent15/advent15.png
 create mode 100644 advent15/advent15directpar.png
 create mode 100644 advent15/advent15lazy.png
 create mode 100644 advent15/advent15times.csv
 create mode 100644 advent15/advent15times.md

diff --git a/README.md b/README.md
index 7dcb1e7..a617b7c 100644
--- a/README.md
+++ b/README.md
@@ -86,9 +86,12 @@ executable advent01prof
   ghc-options:         -O2 
                        -Wall 
                        -threaded 
+                       -eventlog
                        -rtsopts "-with-rtsopts=-N -p -s -hT"
 ```
 
+Only include the `-eventlog` directive if you want to use Threadscope to investigate parallel behaviour.
+
 then running 
 
 ```
diff --git a/advent-of-code22.cabal b/advent-of-code22.cabal
index 76f7671..54649c9 100644
--- a/advent-of-code22.cabal
+++ b/advent-of-code22.cabal
@@ -62,7 +62,7 @@ common common-extensions
                         , RecordWildCards
                         , ScopedTypeVariables
                         , TemplateHaskell
-                        , TransformListComp
+                        -- , TransformListComp
                         , TupleSections
                         , TypeApplications
                         , TypeFamilies
@@ -171,10 +171,40 @@ executable advent14
   main-is: advent14/Main.hs
   build-depends: text, attoparsec, containers, linear, lens
 
+executable advent15original
+  import: common-extensions, build-directives
+  main-is: advent15/MainOriginal.hs
+  build-depends: text, attoparsec, containers, linear, lens
+
+executable advent15sorted
+  import: common-extensions, build-directives
+  main-is: advent15/MainSorted.hs
+  build-depends: text, attoparsec, containers, linear, lens
+
+executable advent15lazy
+  import: common-extensions, build-directives
+  main-is: advent15/MainLazy.hs
+  build-depends: text, attoparsec, containers, linear, lens
+
+executable advent15directpar
+  import: common-extensions, build-directives
+  main-is: advent15/MainDirectParallel.hs
+  build-depends: text, attoparsec, containers, linear, lens, parallel, deepseq
+  
 executable advent15
   import: common-extensions, build-directives
   main-is: advent15/Main.hs
-  build-depends: text, attoparsec, containers, linear, lens
+  build-depends: text, attoparsec, containers, linear, lens, parallel, deepseq, split
+
+executable advent15prof
+  import: common-extensions, build-directives
+  main-is: advent15/Main.hs
+  build-depends: text, attoparsec, containers, linear, lens, parallel, deepseq, split
+  ghc-options:         -O2 
+                       -Wall 
+                       -threaded 
+                       -eventlog
+                       -rtsopts "-with-rtsopts=-N -p -s -hT -ls"
 
 executable advent16
   import: common-extensions, build-directives
diff --git a/advent15/Main.hs b/advent15/Main.hs
index 96f3213..097cf6b 100644
--- a/advent15/Main.hs
+++ b/advent15/Main.hs
@@ -5,14 +5,24 @@ import Data.Text (Text)
 import qualified Data.Text.IO as TIO
 import Data.Attoparsec.Text hiding (take, D)
 import Data.Ix
-import qualified Data.Set as S
+-- import qualified Data.Set as S
 import Linear hiding (Trace, trace, distance)
+import Data.List (sortOn)
+import Data.List.Split (chunksOf)
+import Data.Ord (Down(..))
+-- import Data.Maybe
+import Control.Parallel.Strategies -- (rpar, using, withStrategy, parList, parMap)
+-- import Control.DeepSeq
+
 
 type Position = V2 Int
 
 data Sensor = Sensor Position Position -- sensor position, beacon position
   deriving (Eq, Show)
 
+instance Ord Sensor where
+  (Sensor s1 b1) `compare` (Sensor s2 b2) = (s1 `manhattan` b1) `compare` (s2 `manhattan` b2)
+
 newtype Region = Region { getRegion :: Position -> Bool }  
 
 instance Semigroup Region where
@@ -27,9 +37,10 @@ main =
   do  dataFileName <- getDataFileName
       text <- TIO.readFile dataFileName
       let sensors = successfulParse text
+      let coverage = mconcat $ fmap nearby $ sortOn Down sensors
       -- print sensors
-      print $ part1 sensors
-      print $ part2 sensors
+      print $ part1 sensors coverage
+      print $ part2 sensors coverage
 
 thisY :: Int
 -- thisY = 10
@@ -39,16 +50,33 @@ searchRange :: (Position, Position)
 -- searchRange = ((V2 0 0), (V2 20 20))
 searchRange = ((V2 0 0), (V2 4000000 4000000))
 
-part1, part2 :: [Sensor] -> Int
-part1 sensors = length $ filter (\p -> p `notElem` occupied) $ filter (getRegion coverage) rowCoords
-  where coverage = mconcat $ fmap nearby sensors
-        rowCoords = range ((V2 (globalMinX sensors) thisY), (V2 (globalMaxX sensors) thisY))
+part1, part2 :: [Sensor] -> Region -> Int
+part1 sensors coverage = sum (fmap countForbidden rowChunks `using` (parList rseq))
+  where -- coverage = mconcat $ fmap nearby $ sortOn Down sensors
+        rowCoords = range ( (V2 (globalMinX sensors) thisY)
+                          , (V2 (globalMaxX sensors) thisY)
+                          )
+        rowChunks = chunksOf 1000 rowCoords
         occupied = concatMap (\(Sensor s b) -> [s, b]) sensors
+        -- forbidden = (filter (\p -> p `notElem` occupied) $ filter (getRegion coverage) rowCoords) `using` (parList rpar)
+        -- forbidden = (fmap (\p -> (getRegion coverage p, p)) rowCoords) `using` (parList rdeepseq)
+        countForbidden positions = 
+          length $ filter (\p -> p `notElem` occupied) 
+                 $ filter (getRegion coverage) positions
+
+part2 sensors coverage = x * 4000000 + y
+  where -- coverage = mconcat $ fmap nearby $ sortOn Down sensors
+        boundaries = fmap (filter (inRange searchRange)) 
+                      $ fmap justOutside sensors
+        -- holes = (fmap (filter (not . (getRegion coverage))) boundaries) `using` (parList rpar)
+        holes = fmap (filter (not . (getRegion coverage))) boundaries
+                   `using` (parList rseq)
+        -- holes = (fmap (filter (not . (getRegion coverage))) boundaries) `using` (parList rpar)
+        -- holes = withStrategy (parList rpar) (fmap (filter (not . (getRegion coverage))) boundaries)
+        -- holes = using (fmap (filter (not . (getRegion coverage))) boundaries) (parList rpar)
+        -- holes = parMap rpar (filter (not . (getRegion coverage))) boundaries
+        V2 x y = head $ concat holes
 
-part2 sensors = x * 4000000 + y
-  where coverage = mconcat $ fmap nearby sensors
-        boundaries = S.filter (inRange searchRange) $ S.unions $ fmap justOutside sensors
-        V2 x y = S.findMin $ S.filter (\p -> not $ getRegion coverage p) boundaries
 
 manhattan :: Position -> Position -> Int
 manhattan p1 p2 = (abs dx) + (abs dy)
@@ -66,8 +94,8 @@ globalMinX, globalMaxX :: [Sensor] -> Int
 globalMinX = minimum . fmap minX
 globalMaxX = maximum . fmap maxX
 
-justOutside :: Sensor -> S.Set Position
-justOutside (Sensor s@(V2 sx sy) b) = S.fromList (topLeft ++ topRight ++ bottomLeft ++ bottomRight)
+justOutside :: Sensor -> [Position]
+justOutside (Sensor s@(V2 sx sy) b) = topLeft ++ topRight ++ bottomLeft ++ bottomRight
   where d = 1 + manhattan s b
         topLeft = [V2 x y | (x, y) <- zip [(sx - d)..sx] [sy..(sy + d)] ]
         topRight = [V2 x y | (x, y) <- zip [(sx + d), (sx + d - 1)..sx] [sy..(sy + d)] ]
diff --git a/advent15/MainDirectParallel.hs b/advent15/MainDirectParallel.hs
new file mode 100644
index 0000000..ccf29d9
--- /dev/null
+++ b/advent15/MainDirectParallel.hs
@@ -0,0 +1,115 @@
+-- Writeup at https://work.njae.me.uk/2022/12/15/advent-of-code-2022-day-15/
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Data.Ix
+-- import qualified Data.Set as S
+import Linear hiding (Trace, trace, distance)
+import Data.List (sortOn)
+import Data.Ord (Down(..))
+-- import Data.Maybe
+import Control.Parallel.Strategies -- (rpar, using, withStrategy, parList, parMap)
+-- import Control.DeepSeq
+
+
+type Position = V2 Int
+
+data Sensor = Sensor Position Position -- sensor position, beacon position
+  deriving (Eq, Show)
+
+instance Ord Sensor where
+  (Sensor s1 b1) `compare` (Sensor s2 b2) = (s1 `manhattan` b1) `compare` (s2 `manhattan` b2)
+
+newtype Region = Region { getRegion :: Position -> Bool }  
+
+instance Semigroup Region where
+  r1 <> r2 = Region (\p -> getRegion r1 p || getRegion r2 p)
+
+instance Monoid Region where
+  -- mempty = Region (\p -> False)
+  mempty = Region (const False)
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let sensors = successfulParse text
+      let coverage = mconcat $ fmap nearby $ sortOn Down sensors
+      -- print sensors
+      print $ part1 sensors coverage
+      print $ part2 sensors coverage
+
+thisY :: Int
+-- thisY = 10
+thisY = 2000000
+
+searchRange :: (Position, Position)
+-- searchRange = ((V2 0 0), (V2 20 20))
+searchRange = ((V2 0 0), (V2 4000000 4000000))
+
+part1, part2 :: [Sensor] -> Region -> Int
+part1 sensors coverage = length $ filter (\p -> p `notElem` occupied) 
+                                $ fmap snd $ filter fst forbidden
+  where -- coverage = mconcat $ fmap nearby $ sortOn Down sensors
+        rowCoords = range ( (V2 (globalMinX sensors) thisY)
+                          , (V2 (globalMaxX sensors) thisY)
+                          )
+        occupied = concatMap (\(Sensor s b) -> [s, b]) sensors
+        -- forbidden = (filter (\p -> p `notElem` occupied) $ filter (getRegion coverage) rowCoords) `using` (parList rpar)
+        forbidden = (fmap (\p -> (getRegion coverage p, p)) rowCoords) 
+                      `using` (parList rdeepseq)
+
+part2 sensors coverage = x * 4000000 + y
+  where -- coverage = mconcat $ fmap nearby $ sortOn Down sensors
+        boundaries = fmap (filter (inRange searchRange)) 
+                        $ fmap justOutside sensors
+        holes = (fmap (filter (not . (getRegion coverage))) boundaries) 
+                  `using` (parList rpar)
+        -- holes = (fmap (filter (not . (getRegion coverage))) boundaries) `using` (parList rpar)
+        -- holes = withStrategy (parList rpar) (fmap (filter (not . (getRegion coverage))) boundaries)
+        -- holes = using (fmap (filter (not . (getRegion coverage))) boundaries) (parList rpar)
+        -- holes = parMap rpar (filter (not . (getRegion coverage))) boundaries
+        V2 x y = head $ concat holes
+
+
+manhattan :: Position -> Position -> Int
+manhattan p1 p2 = (abs dx) + (abs dy)
+  where V2 dx dy = p1 ^-^ p2
+
+nearby :: Sensor -> Region
+nearby (Sensor s b) = Region (\p -> manhattan s p <= dist)
+  where dist = manhattan s b
+
+minX, maxX :: Sensor -> Int
+minX (Sensor s@(V2 sx _) b) = sx - (manhattan s b)
+maxX (Sensor s@(V2 sx _) b) = sx + (manhattan s b)
+
+globalMinX, globalMaxX :: [Sensor] -> Int
+globalMinX = minimum . fmap minX
+globalMaxX = maximum . fmap maxX
+
+justOutside :: Sensor -> [Position]
+justOutside (Sensor s@(V2 sx sy) b) = topLeft ++ topRight ++ bottomLeft ++ bottomRight
+  where d = 1 + manhattan s b
+        topLeft = [V2 x y | (x, y) <- zip [(sx - d)..sx] [sy..(sy + d)] ]
+        topRight = [V2 x y | (x, y) <- zip [(sx + d), (sx + d - 1)..sx] [sy..(sy + d)] ]
+        bottomLeft = [V2 x y | (x, y) <- zip [(sx - d)..sx] [sy, (sy - 1)..(sy - d)] ]
+        bottomRight = [V2 x y | (x, y) <- zip [(sx + d), (sx + d - 1)..sx] [sy, (sy - 1)..(sy - d)] ]
+
+-- Parse the input file
+
+sensorsP :: Parser [Sensor]
+sensorP :: Parser Sensor
+positionP :: Parser Position
+
+sensorsP = sensorP `sepBy` endOfLine
+sensorP = Sensor <$> ("Sensor at " *> positionP) <*> (": closest beacon is at " *> positionP)
+positionP = V2 <$> (("x=" *> signed decimal) <* ", ") <*> ("y=" *> signed decimal)
+
+successfulParse :: Text -> [Sensor]
+successfulParse input = 
+  case parseOnly sensorsP input of
+    Left  _err -> [] -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right sensors -> sensors
diff --git a/advent15/MainLazy.hs b/advent15/MainLazy.hs
new file mode 100644
index 0000000..8b85ccc
--- /dev/null
+++ b/advent15/MainLazy.hs
@@ -0,0 +1,99 @@
+-- Writeup at https://work.njae.me.uk/2022/12/15/advent-of-code-2022-day-15/
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Data.Ix
+-- import qualified Data.Set as S
+import Linear hiding (Trace, trace, distance)
+import Data.List (sortOn)
+import Data.Ord (Down(..))
+-- import Data.Maybe
+
+
+type Position = V2 Int
+
+data Sensor = Sensor Position Position -- sensor position, beacon position
+  deriving (Eq, Show)
+
+instance Ord Sensor where
+  (Sensor s1 b1) `compare` (Sensor s2 b2) = (s1 `manhattan` b1) `compare` (s2 `manhattan` b2)
+
+newtype Region = Region { getRegion :: Position -> Bool }  
+
+instance Semigroup Region where
+  r1 <> r2 = Region (\p -> getRegion r1 p || getRegion r2 p)
+
+instance Monoid Region where
+  -- mempty = Region (\p -> False)
+  mempty = Region (const False)
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let sensors = successfulParse text
+      -- print sensors
+      print $ part1 sensors
+      print $ part2 sensors
+
+thisY :: Int
+-- thisY = 10
+thisY = 2000000
+
+searchRange :: (Position, Position)
+-- searchRange = ((V2 0 0), (V2 20 20))
+searchRange = ((V2 0 0), (V2 4000000 4000000))
+
+part1, part2 :: [Sensor] -> Int
+part1 sensors = length $ filter (\p -> p `notElem` occupied) $ filter (getRegion coverage) rowCoords
+  where coverage = mconcat $ fmap nearby $ sortOn Down sensors
+        rowCoords = range ((V2 (globalMinX sensors) thisY), (V2 (globalMaxX sensors) thisY))
+        occupied = concatMap (\(Sensor s b) -> [s, b]) sensors
+
+part2 sensors = x * 4000000 + y
+  where coverage = mconcat $ fmap nearby $ sortOn Down sensors
+        boundaries = fmap (filter (inRange searchRange)) $ fmap justOutside sensors
+        V2 x y = head $ concat $ fmap (filter (not . (getRegion coverage))) boundaries
+
+
+manhattan :: Position -> Position -> Int
+manhattan p1 p2 = (abs dx) + (abs dy)
+  where V2 dx dy = p1 ^-^ p2
+
+nearby :: Sensor -> Region
+nearby (Sensor s b) = Region (\p -> manhattan s p <= dist)
+  where dist = manhattan s b
+
+minX, maxX :: Sensor -> Int
+minX (Sensor s@(V2 sx _) b) = sx - (manhattan s b)
+maxX (Sensor s@(V2 sx _) b) = sx + (manhattan s b)
+
+globalMinX, globalMaxX :: [Sensor] -> Int
+globalMinX = minimum . fmap minX
+globalMaxX = maximum . fmap maxX
+
+justOutside :: Sensor -> [Position]
+justOutside (Sensor s@(V2 sx sy) b) = topLeft ++ topRight ++ bottomLeft ++ bottomRight
+  where d = 1 + manhattan s b
+        topLeft = [V2 x y | (x, y) <- zip [(sx - d)..sx] [sy..(sy + d)] ]
+        topRight = [V2 x y | (x, y) <- zip [(sx + d), (sx + d - 1)..sx] [sy..(sy + d)] ]
+        bottomLeft = [V2 x y | (x, y) <- zip [(sx - d)..sx] [sy, (sy - 1)..(sy - d)] ]
+        bottomRight = [V2 x y | (x, y) <- zip [(sx + d), (sx + d - 1)..sx] [sy, (sy - 1)..(sy - d)] ]
+
+-- Parse the input file
+
+sensorsP :: Parser [Sensor]
+sensorP :: Parser Sensor
+positionP :: Parser Position
+
+sensorsP = sensorP `sepBy` endOfLine
+sensorP = Sensor <$> ("Sensor at " *> positionP) <*> (": closest beacon is at " *> positionP)
+positionP = V2 <$> (("x=" *> signed decimal) <* ", ") <*> ("y=" *> signed decimal)
+
+successfulParse :: Text -> [Sensor]
+successfulParse input = 
+  case parseOnly sensorsP input of
+    Left  _err -> [] -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right sensors -> sensors
diff --git a/advent15/MainOriginal.hs b/advent15/MainOriginal.hs
new file mode 100644
index 0000000..d04b1ea
--- /dev/null
+++ b/advent15/MainOriginal.hs
@@ -0,0 +1,91 @@
+-- Writeup at https://work.njae.me.uk/2022/12/15/advent-of-code-2022-day-15/
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Data.Ix
+import qualified Data.Set as S
+import Linear hiding (Trace, trace, distance)
+
+type Position = V2 Int
+
+data Sensor = Sensor Position Position -- sensor position, beacon position
+  deriving (Eq, Show)
+
+newtype Region = Region { getRegion :: Position -> Bool }  
+
+instance Semigroup Region where
+  r1 <> r2 = Region (\p -> getRegion r1 p || getRegion r2 p)
+
+instance Monoid Region where
+  -- mempty = Region (\p -> False)
+  mempty = Region (const False)
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let sensors = successfulParse text
+      -- print sensors
+      print $ part1 sensors
+      print $ part2 sensors
+
+thisY :: Int
+-- thisY = 10
+thisY = 2000000
+
+searchRange :: (Position, Position)
+-- searchRange = ((V2 0 0), (V2 20 20))
+searchRange = ((V2 0 0), (V2 4000000 4000000))
+
+part1, part2 :: [Sensor] -> Int
+part1 sensors = length $ filter (\p -> p `notElem` occupied) $ filter (getRegion coverage) rowCoords
+  where coverage = mconcat $ fmap nearby sensors
+        rowCoords = range ((V2 (globalMinX sensors) thisY), (V2 (globalMaxX sensors) thisY))
+        occupied = concatMap (\(Sensor s b) -> [s, b]) sensors
+
+part2 sensors = x * 4000000 + y
+  where coverage = mconcat $ fmap nearby sensors
+        boundaries = {-# SCC boundaries #-} S.filter (inRange searchRange) $ S.unions $ fmap justOutside sensors
+        V2 x y = {-# SCC findMinV #-} S.findMin $ S.filter (not . (getRegion coverage)) boundaries
+
+manhattan :: Position -> Position -> Int
+manhattan p1 p2 = (abs dx) + (abs dy)
+  where V2 dx dy = p1 ^-^ p2
+
+nearby :: Sensor -> Region
+nearby (Sensor s b) = Region (\p -> manhattan s p <= dist)
+  where dist = manhattan s b
+
+minX, maxX :: Sensor -> Int
+minX (Sensor s@(V2 sx _) b) = sx - (manhattan s b)
+maxX (Sensor s@(V2 sx _) b) = sx + (manhattan s b)
+
+globalMinX, globalMaxX :: [Sensor] -> Int
+globalMinX = minimum . fmap minX
+globalMaxX = maximum . fmap maxX
+
+justOutside :: Sensor -> S.Set Position
+justOutside (Sensor s@(V2 sx sy) b) = S.fromList (topLeft ++ topRight ++ bottomLeft ++ bottomRight)
+  where d = 1 + manhattan s b
+        topLeft = [V2 x y | (x, y) <- zip [(sx - d)..sx] [sy..(sy + d)] ]
+        topRight = [V2 x y | (x, y) <- zip [(sx + d), (sx + d - 1)..sx] [sy..(sy + d)] ]
+        bottomLeft = [V2 x y | (x, y) <- zip [(sx - d)..sx] [sy, (sy - 1)..(sy - d)] ]
+        bottomRight = [V2 x y | (x, y) <- zip [(sx + d), (sx + d - 1)..sx] [sy, (sy - 1)..(sy - d)] ]
+
+-- Parse the input file
+
+sensorsP :: Parser [Sensor]
+sensorP :: Parser Sensor
+positionP :: Parser Position
+
+sensorsP = sensorP `sepBy` endOfLine
+sensorP = Sensor <$> ("Sensor at " *> positionP) <*> (": closest beacon is at " *> positionP)
+positionP = V2 <$> (("x=" *> signed decimal) <* ", ") <*> ("y=" *> signed decimal)
+
+successfulParse :: Text -> [Sensor]
+successfulParse input = 
+  case parseOnly sensorsP input of
+    Left  _err -> [] -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right sensors -> sensors
diff --git a/advent15/MainSorted.hs b/advent15/MainSorted.hs
new file mode 100644
index 0000000..7fcd5e0
--- /dev/null
+++ b/advent15/MainSorted.hs
@@ -0,0 +1,102 @@
+-- Writeup at https://work.njae.me.uk/2022/12/15/advent-of-code-2022-day-15/
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Data.Ix
+import qualified Data.Set as S
+import Linear hiding (Trace, trace, distance)
+import Data.List (sortOn)
+import Data.Ord (Down(..))
+
+
+type Position = V2 Int
+
+data Sensor = Sensor Position Position -- sensor position, beacon position
+  deriving (Eq, Show)
+
+instance Ord Sensor where
+  -- (Sensor s1 b1) `compare` (Sensor s2 b2) 
+  --   | cmp == EQ = s1 `compare` s2
+  --   | otherwise = cmp
+  --   where cmp = (s1 `manhattan` b1) `compare` (s2 `manhattan` b2)
+ (Sensor s1 b1) `compare` (Sensor s2 b2) 
+     = (s1 `manhattan` b1) `compare` (s2 `manhattan` b2)
+
+newtype Region = Region { getRegion :: Position -> Bool }  
+
+instance Semigroup Region where
+  r1 <> r2 = Region (\p -> getRegion r1 p || getRegion r2 p)
+
+instance Monoid Region where
+  -- mempty = Region (\p -> False)
+  mempty = Region (const False)
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let sensors = successfulParse text
+      -- print sensors
+      print $ part1 sensors
+      print $ part2 sensors
+
+thisY :: Int
+-- thisY = 10
+thisY = 2000000
+
+searchRange :: (Position, Position)
+-- searchRange = ((V2 0 0), (V2 20 20))
+searchRange = ((V2 0 0), (V2 4000000 4000000))
+
+part1, part2 :: [Sensor] -> Int
+part1 sensors = length $ filter (\p -> p `notElem` occupied) $ filter (getRegion coverage) rowCoords
+  where coverage = mconcat $ fmap nearby $ sortOn Down sensors
+        rowCoords = range ((V2 (globalMinX sensors) thisY), (V2 (globalMaxX sensors) thisY))
+        occupied = concatMap (\(Sensor s b) -> [s, b]) sensors
+
+part2 sensors = x * 4000000 + y
+  where coverage = mconcat $ fmap nearby $ sortOn Down sensors
+        boundaries = {-# SCC boundaries #-} S.filter (inRange searchRange) $ S.unions $ fmap justOutside sensors
+        V2 x y = {-# SCC findMinV #-} S.findMin $ S.filter (not . (getRegion coverage)) boundaries
+
+manhattan :: Position -> Position -> Int
+manhattan p1 p2 = (abs dx) + (abs dy)
+  where V2 dx dy = p1 ^-^ p2
+
+nearby :: Sensor -> Region
+nearby (Sensor s b) = Region (\p -> manhattan s p <= dist)
+  where dist = manhattan s b
+
+minX, maxX :: Sensor -> Int
+minX (Sensor s@(V2 sx _) b) = sx - (manhattan s b)
+maxX (Sensor s@(V2 sx _) b) = sx + (manhattan s b)
+
+globalMinX, globalMaxX :: [Sensor] -> Int
+globalMinX = minimum . fmap minX
+globalMaxX = maximum . fmap maxX
+
+justOutside :: Sensor -> S.Set Position
+justOutside (Sensor s@(V2 sx sy) b) = S.fromList (topLeft ++ topRight ++ bottomLeft ++ bottomRight)
+  where d = 1 + manhattan s b
+        topLeft = [V2 x y | (x, y) <- zip [(sx - d)..sx] [sy..(sy + d)] ]
+        topRight = [V2 x y | (x, y) <- zip [(sx + d), (sx + d - 1)..sx] [sy..(sy + d)] ]
+        bottomLeft = [V2 x y | (x, y) <- zip [(sx - d)..sx] [sy, (sy - 1)..(sy - d)] ]
+        bottomRight = [V2 x y | (x, y) <- zip [(sx + d), (sx + d - 1)..sx] [sy, (sy - 1)..(sy - d)] ]
+
+-- Parse the input file
+
+sensorsP :: Parser [Sensor]
+sensorP :: Parser Sensor
+positionP :: Parser Position
+
+sensorsP = sensorP `sepBy` endOfLine
+sensorP = Sensor <$> ("Sensor at " *> positionP) <*> (": closest beacon is at " *> positionP)
+positionP = V2 <$> (("x=" *> signed decimal) <* ", ") <*> ("y=" *> signed decimal)
+
+successfulParse :: Text -> [Sensor]
+successfulParse input = 
+  case parseOnly sensorsP input of
+    Left  _err -> [] -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right sensors -> sensors
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zG*qCghBw@+I9;6UPxl5p0`ts|_@<fANYfe8t#=o?=N#aQb9U}xtr5~rYSTS+{gcZC
z#@Jd7QU%c4pw<yQC9#AA^Gry^-7NYfAsi(QkyeZ*wjS#tKn;@yVWt_(eNa)n$eTOV
zW>b+lZ5Wt4=0#h?ZY`ijRV^^3ec;h+I2V_4lE$ybl^WjVCe+FLh(b**#tW*`6g2XC
z+LH_u1BZNF($YK$F}T{&)58lC+MKms&P~zI$<_`Uw6VaixjxMq6lZItMK%iqR08`4
zcq7BTH0lVRw0-}kH65{K;$il2-`5<RMeAiD!WY<vdgM(fp<i7qeoGV2&!M50S?|B0
e&Ee}7gp`*t`#bp{0~C6M-$#Le=YMeG{C@$A_F#Vi

literal 0
HcmV?d00001

diff --git a/advent15/advent15times.csv b/advent15/advent15times.csv
new file mode 100644
index 0000000..c3d17b9
--- /dev/null
+++ b/advent15/advent15times.csv
@@ -0,0 +1,9 @@
+cabal run advent15original advent15,18.47,202.19,2:02.91,17888168
+cabal run advent15sorted advent15,18.09,189.46,2:00.68,17886248
+cabal run advent15lazy advent15,0.10,5.69,0:05.64,80708
+cabal run advent15directpar advent15,3.34,27.14,0:11.49,1322200
+cabal run advent15 advent15,0.82,15.22,0:02.90,726936
+cabal run advent15,0.95,17.88,0:05.89,730904
+cabal run advent15,0.59,14.82,0:02.36,792416
+cabal run advent15,0.84,17.90,0:05.65,690064
+cabal run advent15,0.70,14.46,0:02.36,672592
diff --git a/advent15/advent15times.md b/advent15/advent15times.md
new file mode 100644
index 0000000..7dd8a25
--- /dev/null
+++ b/advent15/advent15times.md
@@ -0,0 +1,7 @@
+| Program                  | &nbsp;System time&nbsp; | &nbsp;User time&nbsp; | &nbsp;Wall time&nbsp; | &nbsp;Memory used (kb)&nbsp; |
+|:-------------------------|------------:|----------:|----------:|------------:|
+| Original                 |       18.47 |    202.19 |   2:02.91 |  17,888,168 |
+| Sorted region            |       18.09 |    189.46 |   2:00.68 |  17,886,248 |
+| Lazy boundary creation   |        0.10 |      5.69 |   0:05.64 |      80,708 |
+| Direct parallelism       |        3.34 |     27.14 |   0:11.49 |   1,322,200 |
+| Parallelism and chunking |        0.59 |     14.82 |   0:02.36 |     672,592 |
-- 
2.34.1


From 74302040c3188f5306aee7b438094f11652a11f8 Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Thu, 29 Dec 2022 16:19:16 +0000
Subject: [PATCH 11/16] Tidying

---
 advent15/Main.hs | 13 ++-----------
 1 file changed, 2 insertions(+), 11 deletions(-)

diff --git a/advent15/Main.hs b/advent15/Main.hs
index 097cf6b..664e47d 100644
--- a/advent15/Main.hs
+++ b/advent15/Main.hs
@@ -52,29 +52,20 @@ searchRange = ((V2 0 0), (V2 4000000 4000000))
 
 part1, part2 :: [Sensor] -> Region -> Int
 part1 sensors coverage = sum (fmap countForbidden rowChunks `using` (parList rseq))
-  where -- coverage = mconcat $ fmap nearby $ sortOn Down sensors
-        rowCoords = range ( (V2 (globalMinX sensors) thisY)
+  where rowCoords = range ( (V2 (globalMinX sensors) thisY)
                           , (V2 (globalMaxX sensors) thisY)
                           )
         rowChunks = chunksOf 1000 rowCoords
         occupied = concatMap (\(Sensor s b) -> [s, b]) sensors
-        -- forbidden = (filter (\p -> p `notElem` occupied) $ filter (getRegion coverage) rowCoords) `using` (parList rpar)
-        -- forbidden = (fmap (\p -> (getRegion coverage p, p)) rowCoords) `using` (parList rdeepseq)
         countForbidden positions = 
           length $ filter (\p -> p `notElem` occupied) 
                  $ filter (getRegion coverage) positions
 
 part2 sensors coverage = x * 4000000 + y
-  where -- coverage = mconcat $ fmap nearby $ sortOn Down sensors
-        boundaries = fmap (filter (inRange searchRange)) 
+  where boundaries = fmap (filter (inRange searchRange)) 
                       $ fmap justOutside sensors
-        -- holes = (fmap (filter (not . (getRegion coverage))) boundaries) `using` (parList rpar)
         holes = fmap (filter (not . (getRegion coverage))) boundaries
                    `using` (parList rseq)
-        -- holes = (fmap (filter (not . (getRegion coverage))) boundaries) `using` (parList rpar)
-        -- holes = withStrategy (parList rpar) (fmap (filter (not . (getRegion coverage))) boundaries)
-        -- holes = using (fmap (filter (not . (getRegion coverage))) boundaries) (parList rpar)
-        -- holes = parMap rpar (filter (not . (getRegion coverage))) boundaries
         V2 x y = head $ concat holes
 
 
-- 
2.34.1


From c96b3e327eb7f937787e9ac846d8f7c354bfa4a1 Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Mon, 2 Jan 2023 16:51:59 +0000
Subject: [PATCH 12/16] Day 23 now using arrays

---
 advent-of-code22.cabal   |   9 +-
 advent23/Main.hs         | 282 +++++++++++++++++++++------------------
 advent23/MainOriginal.hs | 217 ++++++++++++++++++++++++++++++
 3 files changed, 379 insertions(+), 129 deletions(-)
 create mode 100644 advent23/MainOriginal.hs

diff --git a/advent-of-code22.cabal b/advent-of-code22.cabal
index 54649c9..24f58ef 100644
--- a/advent-of-code22.cabal
+++ b/advent-of-code22.cabal
@@ -241,15 +241,20 @@ executable advent22
   main-is: advent22/Main.hs
   build-depends: containers, linear, lens, mtl
 
+executable advent23original
+  import: common-extensions, build-directives
+  main-is: advent23/MainOriginal.hs
+  build-depends: containers, linear, lens, mtl, multiset
+
 executable advent23
   import: common-extensions, build-directives
   main-is: advent23/Main.hs
-  build-depends: containers, linear, lens, mtl, multiset
+  build-depends: linear, lens, mtl, array
 
 executable advent23prof
   import: common-extensions, build-directives
   main-is: advent23/Main.hs
-  build-depends: containers, linear, lens, mtl, multiset
+  build-depends: linear, lens, mtl, array
   ghc-options:         -O2 
                        -Wall 
                        -threaded 
diff --git a/advent23/Main.hs b/advent23/Main.hs
index 194a8ea..08eef6c 100644
--- a/advent23/Main.hs
+++ b/advent23/Main.hs
@@ -1,57 +1,48 @@
--- Writeup at https://work.njae.me.uk/2022/12/23/advent-of-code-2022-day-23/
+-- Writeup at https://work.njae.me.uk/2023/01/02/optimising-haskell-example-2/
 
 -- import Debug.Trace
 
 import AoC
-import qualified Data.Set as S
 import Linear
-import Control.Lens
 import Data.Ix
-import Data.Maybe
--- import Data.Char
 import Data.Monoid
-import Data.MultiSet as MS
 import Control.Monad.State.Strict
+import Control.Monad.ST
+import qualified Data.Array.IArray as A
+import qualified Data.Array.MArray as M
+import Data.Array.ST
+import Data.Maybe
 
 
-type Position = V2 Int -- r, c
+type Position = V2 Int -- x, y
 
 data Direction = North | South | West | East
   deriving (Show, Eq, Ord, Enum, Bounded)
 
-data Elf = Elf { _current :: Position, _proposed :: Position}
-  -- deriving (Show, Eq, Ord)
-  -- deriving (Eq, Ord)
-makeLenses ''Elf  
-
-instance Show Elf where
-  show elf = "Elf {c= " ++ (show (elf ^. current)) 
-                        ++ ", p= " ++ (show (elf ^. proposed)) 
-                        ++ " -> " ++ (show (directionOfElf elf)) 
-                        ++ "}"
+newtype Elf = Elf Position
+  deriving (Eq, Ord, Show)
 
-instance Eq Elf where
-  e1 == e2 = (_current e1) == (_current e2)
+type Population = A.Array Position (Maybe Elf)
 
-instance Ord Elf where
-  e1 `compare` e2 = (_current e1) `compare` (_current e2)
+type MPopulation s = STArray s Position (Maybe Elf)
+type MClashCounts s = STArray s Position Int
 
-data Grove = Grove { currentGrove :: S.Set Elf, proposalDirections :: [Direction], elapsedRounds :: Int}
+data Grove = Grove { currentGrove :: Population, proposalDirections :: [Direction], elapsedRounds :: Int}
   deriving (Eq)
 
 instance Show Grove where
-  show grove = (show $ currentGrove grove) ++ ", " ++ (show $ take 4 $ proposalDirections grove) ++ ", e = " ++ (show $ elapsedRounds grove)
+  show grove = (showElves $ currentGrove grove) ++ ", " ++ (show $ take 4 $ proposalDirections grove) ++ ", e = " ++ (show $ elapsedRounds grove)
+    where showElves g = "Grove " ++ (show $ A.bounds g) ++ " " ++ (show $ filter (isJust . snd) $ A.assocs g)
 
 type GroveState = State Grove
 
-
 main :: IO ()
 main = 
   do  dataFileName <- getDataFileName
       text <- readFile dataFileName
       let grove = Grove (mkGrove text) (cycle [North .. East]) 0
       -- print grove
-      -- print $ execState simulateOnce grove
+      -- print $ runState simulateOnce grove
       -- print $ execState (simulateN 4) grove
       print $ part1 grove
       print $ part2 grove
@@ -64,16 +55,9 @@ part1 grove = countEmpty grove' bounds
 part2 grove = elapsedRounds grove'
   where grove' = execState simulateToCompletion grove
 
-directionOfElf :: Elf -> Maybe Direction
-directionOfElf elf
-  | delta == V2 0 1 = Just North
-  | delta == V2 0 -1 = Just South
-  | delta == V2 1 0 = Just East
-  | delta == V2 -1 0 = Just West
-  | otherwise = Nothing
-  where delta = (elf ^. proposed) ^-^ (elf ^. current) 
 
-simulateToCompletion, simulateOnce, proposeMoves, removeClashes, moveElves, updateDirections, updateCount :: GroveState ()
+simulateToCompletion, simulateOnce, growGrove, updateDirections, updateCount :: GroveState ()
+
 simulateToCompletion =
   do oldGrove <- gets currentGrove
      simulateOnce
@@ -89,27 +73,27 @@ simulateN n =
      simulateN (n - 1)
 
 simulateOnce =
-  do proposeMoves
-     removeClashes
-     moveElves
-     updateDirections
-     updateCount
-
-proposeMoves =
-  do grove <- gets currentGrove
-     proposalsInf <- gets proposalDirections
-     let proposals = take 4 proposalsInf
-     let grove' = S.map (makeProposal grove proposals) grove
-     modify' (\g -> g { currentGrove = grove'})
-
-removeClashes =
-  do grove <- gets currentGrove
-     let clashes = findClashes grove
-     stopClashingElves clashes
-
-moveElves = 
+  do  grove <- gets currentGrove
+      proposalsInf <- gets proposalDirections
+      let proposals = take 4 proposalsInf
+      let newGrove = 
+            runSTArray $ 
+              do mPopulation <- M.thaw grove
+                 mCounts <- M.mapArray (const 0) mPopulation
+                 proposeMoves mPopulation mCounts proposals
+                 removeClashes mPopulation mCounts
+                 moveElves mPopulation
+                 return mPopulation
+      modify' (\g -> g { currentGrove = newGrove})
+      growGrove
+      updateDirections
+      updateCount
+
+growGrove = 
   do grove <- gets currentGrove
-     let grove' = S.map moveElf grove
+     let (b0, b1) = findBounds grove
+     let bounds' = (b0 ^+^ (V2 -1 -1), b1 ^+^ (V2 1 1))
+     let grove' = A.accumArray (flip const) Nothing bounds' $ filter ((inRange bounds') . fst ) $ A.assocs grove
      modify' (\g -> g { currentGrove = grove'})
 
 updateDirections = modify' (\g -> g { proposalDirections = tail (proposalDirections g)})
@@ -117,99 +101,143 @@ updateCount = modify' (\g -> g { elapsedRounds = (elapsedRounds g) + 1})
 
 -- position changing utilities
 
-anyNeighbour :: S.Set Position
-anyNeighbour = S.fromList [ V2 dx dy 
-                          | dx <- [-1, 0, 1]
-                          , dy <- [-1, 0, 1]
-                          , not ((dx == 0) && (dy == 0))
-                          ]
+anyNeighbour :: [Position]
+anyNeighbour =  [ V2 dx dy 
+                | dx <- [-1, 0, 1]
+                , dy <- [-1, 0, 1]
+                , not ((dx == 0) && (dy == 0))
+                ]
 
-directionNeighbour :: Direction -> S.Set Position
-directionNeighbour North = S.filter (\d -> d ^. _y ==  1) anyNeighbour
-directionNeighbour South = S.filter (\d -> d ^. _y == -1) anyNeighbour
-directionNeighbour West  = S.filter (\d -> d ^. _x == -1) anyNeighbour
-directionNeighbour East  = S.filter (\d -> d ^. _x ==  1) anyNeighbour
+directionNeighbour :: Direction -> [Position]
+directionNeighbour North = filter (\(V2 _x y) -> y ==  1) anyNeighbour
+directionNeighbour South = filter (\(V2 _x y) -> y == -1) anyNeighbour
+directionNeighbour West  = filter (\(V2 x _y) -> x == -1) anyNeighbour
+directionNeighbour East  = filter (\(V2 x _y) -> x ==  1) anyNeighbour
 
-stepDelta ::Direction -> Position
+stepDelta :: Direction -> Position
 stepDelta North = V2  0  1
 stepDelta South = V2  0 -1
 stepDelta West  = V2 -1  0
 stepDelta East  = V2  1  0
 
-translateTo :: Position -> S.Set Position -> S.Set Position
-translateTo here deltas = S.map (here ^+^) deltas
+noElves :: MPopulation s -> [Position] -> ST s Bool
+noElves elves tests = 
+  do others <- mapM (M.readArray elves) tests
+     return $ all isNothing others
 
-noElves :: S.Set Elf -> S.Set Position -> Bool
-noElves elves tests = S.null $ S.intersection tests $ S.map _current elves
+isolated :: MPopulation s -> Position -> ST s Bool
+isolated elves here = noElves elves $ fmap (here ^+^) anyNeighbour
 
 -- get elves to make proposals 
 
-isolated :: S.Set Elf -> Elf -> Bool
-isolated elves elf = noElves elves $ translateTo (elf ^. current) $ anyNeighbour
-
-nearby :: S.Set Elf -> Elf -> S.Set Elf
-nearby elves elf = S.filter (\e -> (e ^. current) `S.member` nbrs) elves 
-  where nbrs = translateTo (elf ^. current) $ anyNeighbour
-
-makeProposal :: S.Set Elf -> [Direction] -> Elf -> Elf
-makeProposal grove directions elf 
-  | isolated localElves elf = elf
-  | otherwise = fromMaybe elf $ getFirst $ mconcat $ fmap First $ fmap (proposedStep localElves elf) directions
-  where localElves = nearby grove elf
-
-proposedStep :: S.Set Elf -> Elf -> Direction -> Maybe Elf
-proposedStep grove elf direction
-  | noElves grove interfering = Just $ elf & proposed .~ (here ^+^ (stepDelta direction))
-  | otherwise = Nothing 
-  where here = elf ^. current
-        interfering = translateTo here $ directionNeighbour direction
+proposeMoves :: MPopulation s -> MClashCounts s -> [Direction] -> ST s ()
+proposeMoves mPopulation mCounts proposals =
+  do assocs <- M.getAssocs mPopulation
+     mapM_ (makeProposal mPopulation mCounts proposals) assocs
+
+makeProposal :: MPopulation s -> MClashCounts s -> [Direction] -> (Position, Maybe Elf) -> ST s ()
+makeProposal elves clashes directions (here, elf)
+  | isNothing elf = return ()
+  | otherwise = do isIsolated <- isolated elves here 
+                   unless isIsolated
+                      do  proposals <- mapM (proposedStep elves here) directions
+                          let step = fromMaybe (V2 0 0) $ getFirst $ mconcat $ fmap First proposals
+                          let there = here ^+^ step
+                          thereCount <- M.readArray clashes there
+                          M.writeArray clashes there (thereCount + 1)
+                          M.writeArray elves here (Just (Elf there))
+
+proposedStep :: MPopulation s -> Position -> Direction -> ST s (Maybe Position)
+proposedStep elves here direction =
+  do isFree <- noElves elves interfering 
+     if isFree 
+     then return $ Just $ stepDelta direction
+     else return Nothing
+  where interfering = fmap (here ^+^) $ directionNeighbour direction
 
 -- find clashing elves and prevent them moving
 
-findClashes :: S.Set Elf -> S.Set Position
-findClashes grove = MS.toSet $ MS.foldOccur ifMany MS.empty targets
-  where targets = MS.map _proposed $ MS.fromSet grove
-        ifMany t n s 
-          | n == 1 = s
-          | otherwise = MS.insert t s
-
-stopClashingElves :: S.Set Position -> GroveState ()
-stopClashingElves clashes =
-  do grove <- gets currentGrove
-     let grove' = S.map (notClash clashes) grove
-     modify' (\g -> g { currentGrove = grove'})
+removeClashes :: MPopulation s -> MClashCounts s -> ST s ()
+removeClashes elves counts = 
+  do cts <- M.getAssocs counts
+     let clashes = fmap fst $ filter ((> 1) . snd) cts
+     stopClashingElves clashes elves
 
-notClash :: S.Set Position -> Elf -> Elf
-notClash clashes elf 
-  | (elf ^. proposed) `S.member` clashes = elf & proposed .~ (elf ^. current)
-  | otherwise = elf
+stopClashingElves :: [Position] -> MPopulation s -> ST s ()
+stopClashingElves clashes elves = mapM_ stopClash targets
+  where targets = concatMap findNbrs clashes
+        findNbrs c = fmap (^+^ c) $ fmap stepDelta [North .. East]
+        stopClash here =
+          do target <- M.readArray elves here
+             when (isJust target) $ M.writeArray elves here (Just (Elf here))
 
 -- the elves move
 
-moveElf :: Elf -> Elf
-moveElf elf = elf & current .~ (elf ^. proposed)
-
--- part 1 solution utilities
-
-findBounds :: S.Set Elf -> (Position, Position)
-findBounds grove = ((V2 minX minY), (V2 maxX maxY))
-  where minX = fromJust $ minimumOf (folded . current . _x) grove
-        minY = fromJust $ minimumOf (folded . current . _y) grove
-        maxX = fromJust $ maximumOf (folded . current . _x) grove
-        maxY = fromJust $ maximumOf (folded . current . _y) grove
-
-countEmpty :: S.Set Elf -> (Position, Position) -> Int
-countEmpty grove bounds = (rangeSize bounds) - (S.size grove)
+moveElves :: MPopulation s -> ST s ()
+moveElves elves = 
+  do assocs <- M.getAssocs elves
+     mapM_ (moveElf elves) assocs
+
+moveElf :: MPopulation s -> (Position, Maybe Elf) -> ST s ()
+moveElf _elves (_here, Nothing) = return ()
+moveElf elves (here, Just (Elf there)) =
+  do M.writeArray elves here Nothing
+     M.writeArray elves there (Just (Elf there))
+
+-- reset the array bounds
+
+findBounds :: Population -> (Position, Position)
+findBounds grove = boundsR
+  where bounds0 = A.bounds grove
+        boundsT = shrink grove topStrip    topShrink    bounds0
+        boundsB = shrink grove bottomStrip bottomShrink boundsT
+        boundsL = shrink grove leftStrip   leftShrink   boundsB
+        boundsR = shrink grove rightStrip  rightShrink  boundsL
+
+shrink :: Population 
+          -> ((Position, Position) -> (Position, Position))
+          -> (Position, Position)
+          -> (Position, Position)
+          -> (Position, Position)
+shrink grove findStrip stripDirection currentBounds 
+  | emptyStrip grove (findStrip currentBounds) = 
+        shrink grove findStrip stripDirection (shiftBounds currentBounds stripDirection)
+  | otherwise =   currentBounds
+  where shiftBounds (b0, b1) (d0, d1) = (b0 ^+^ d0, b1 ^+^ d1)
+
+emptyStrip :: Population -> (Position, Position) -> Bool
+emptyStrip grove strip = all isNothing $ fmap (grove A.!) $ range strip
+
+topStrip, bottomStrip, leftStrip, rightStrip :: (Position, Position) -> (Position, Position)
+topStrip    (V2 minX _minY, V2 maxX maxY) = (V2 minX maxY, V2 maxX maxY)
+bottomStrip (V2 minX minY, V2 maxX _maxY) = (V2 minX minY, V2 maxX minY)
+leftStrip   (V2 minX minY, V2 _maxX maxY) = (V2 minX minY, V2 minX maxY)
+rightStrip  (V2 _minX minY, V2 maxX maxY) = (V2 maxX minY, V2 maxX maxY)
+
+topShrink, bottomShrink, leftShrink, rightShrink :: (Position, Position)
+topShrink = (V2 0 0, V2 0 -1)
+bottomShrink = (V2 0 1, V2 0 0)
+leftShrink = (V2 1 0, V2 0 0)
+rightShrink = (V2 0 0, V2 -1 0)
+
+countEmpty :: Population -> (Position, Position) -> Int
+countEmpty grove bounds = length $ filter isNothing $ fmap (grove A.!) cells
+  where cells = range bounds
 
 -- Parse the input file
 
-mkGrove :: String -> S.Set Elf
-mkGrove text = S.fromList
-      [ Elf (V2 x y) (V2 x y) 
-      | x <- [0..maxX], y <- [0..maxY]
-      , isElf x y
+mkGrove :: String -> Population
+mkGrove text = A.accumArray
+      (\_ e -> e)
+      Nothing
+      (V2 -1 -1, V2 maxX maxY)
+      [ mkElf x y -- Elf (V2 x y) (V2 x y) 
+      | x <- [0..(maxX - 1)], y <- [0..(maxY - 1)]
+      -- , isElf x y
       ]
   where rows = reverse $ lines text
-        maxY = length rows - 1
-        maxX = (length $ head rows) - 1
-        isElf x y = ((rows !! y) !! x) == '#'
+        maxY = length rows
+        maxX = (length $ head rows)
+        mkElf x y 
+          | ((rows !! y) !! x) == '#' = ((V2 x y), Just ( Elf (V2 x y) ))
+          | otherwise = ((V2 x y), Nothing)
diff --git a/advent23/MainOriginal.hs b/advent23/MainOriginal.hs
new file mode 100644
index 0000000..6296489
--- /dev/null
+++ b/advent23/MainOriginal.hs
@@ -0,0 +1,217 @@
+-- Writeup at https://work.njae.me.uk/2022/12/23/advent-of-code-2022-day-23/
+
+-- import Debug.Trace
+
+import AoC
+import qualified Data.Set as S
+import Linear
+import Control.Lens
+import Data.Ix
+import Data.Maybe
+-- import Data.Char
+import Data.Monoid
+import Data.MultiSet as MS
+import Control.Monad.State.Strict
+
+
+type Position = V2 Int -- r, c
+
+data Direction = North | South | West | East
+  deriving (Show, Eq, Ord, Enum, Bounded)
+
+data Elf = Elf { _current :: Position, _proposed :: Position}
+  -- deriving (Show, Eq, Ord)
+  -- deriving (Eq, Ord)
+makeLenses ''Elf  
+
+instance Show Elf where
+  show elf = "Elf {c= " ++ (show (elf ^. current)) 
+                        ++ ", p= " ++ (show (elf ^. proposed)) 
+                        ++ " -> " ++ (show (directionOfElf elf)) 
+                        ++ "}"
+
+instance Eq Elf where
+  e1 == e2 = (_current e1) == (_current e2)
+
+instance Ord Elf where
+  e1 `compare` e2 = (_current e1) `compare` (_current e2)
+
+type Population = S.Set Elf
+
+data Grove = Grove { currentGrove :: Population, proposalDirections :: [Direction], elapsedRounds :: Int}
+  deriving (Eq)
+
+instance Show Grove where
+  show grove = (show $ currentGrove grove) ++ ", " ++ (show $ take 4 $ proposalDirections grove) ++ ", e = " ++ (show $ elapsedRounds grove)
+
+type GroveState = State Grove
+
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- readFile dataFileName
+      let grove = Grove (mkGrove text) (cycle [North .. East]) 0
+      -- print grove
+      -- print $ execState simulateOnce grove
+      -- print $ execState (simulateN 4) grove
+      print $ part1 grove
+      print $ part2 grove
+
+part1, part2 :: Grove -> Int
+part1 grove = countEmpty grove' bounds
+  where grove' = currentGrove $ execState (simulateN 10) grove
+        bounds = findBounds grove'
+
+part2 grove = elapsedRounds grove'
+  where grove' = execState simulateToCompletion grove
+
+directionOfElf :: Elf -> Maybe Direction
+directionOfElf elf
+  | delta == V2 0 1 = Just North
+  | delta == V2 0 -1 = Just South
+  | delta == V2 1 0 = Just East
+  | delta == V2 -1 0 = Just West
+  | otherwise = Nothing
+  where delta = (elf ^. proposed) ^-^ (elf ^. current) 
+
+simulateToCompletion, simulateOnce, proposeMoves, removeClashes, moveElves, updateDirections, updateCount :: GroveState ()
+simulateToCompletion =
+  do oldGrove <- gets currentGrove
+     simulateOnce
+     newGrove <- gets currentGrove
+     if oldGrove == newGrove
+     then return ()
+     else simulateToCompletion
+
+simulateN :: Int -> GroveState ()
+simulateN 0 = return ()
+simulateN n = 
+  do simulateOnce
+     simulateN (n - 1)
+
+simulateOnce =
+  do proposeMoves
+     removeClashes
+     moveElves
+     updateDirections
+     updateCount
+
+proposeMoves =
+  do grove <- gets currentGrove
+     proposalsInf <- gets proposalDirections
+     let proposals = take 4 proposalsInf
+     let grove' = S.map (makeProposal grove proposals) grove
+     modify' (\g -> g { currentGrove = grove'})
+
+removeClashes =
+  do grove <- gets currentGrove
+     let clashes = findClashes grove
+     stopClashingElves clashes
+
+moveElves = 
+  do grove <- gets currentGrove
+     let grove' = S.map moveElf grove
+     modify' (\g -> g { currentGrove = grove'})
+
+updateDirections = modify' (\g -> g { proposalDirections = tail (proposalDirections g)})
+updateCount = modify' (\g -> g { elapsedRounds = (elapsedRounds g) + 1})
+
+-- position changing utilities
+
+anyNeighbour :: S.Set Position
+anyNeighbour = S.fromList [ V2 dx dy 
+                          | dx <- [-1, 0, 1]
+                          , dy <- [-1, 0, 1]
+                          , not ((dx == 0) && (dy == 0))
+                          ]
+
+directionNeighbour :: Direction -> S.Set Position
+directionNeighbour North = S.filter (\d -> d ^. _y ==  1) anyNeighbour
+directionNeighbour South = S.filter (\d -> d ^. _y == -1) anyNeighbour
+directionNeighbour West  = S.filter (\d -> d ^. _x == -1) anyNeighbour
+directionNeighbour East  = S.filter (\d -> d ^. _x ==  1) anyNeighbour
+
+stepDelta :: Direction -> Position
+stepDelta North = V2  0  1
+stepDelta South = V2  0 -1
+stepDelta West  = V2 -1  0
+stepDelta East  = V2  1  0
+
+translateTo :: Position -> S.Set Position -> S.Set Position
+translateTo here deltas = S.map (here ^+^) deltas
+
+noElves :: Population -> S.Set Position -> Bool
+noElves elves tests = S.null $ S.intersection tests $ S.map _current elves
+
+-- get elves to make proposals 
+
+isolated :: Population -> Elf -> Bool
+isolated elves elf = noElves elves $ translateTo (elf ^. current) $ anyNeighbour
+
+nearby :: Population -> Elf -> Population
+nearby elves elf = S.filter (\e -> (e ^. current) `S.member` nbrs) elves 
+  where nbrs = translateTo (elf ^. current) $ anyNeighbour
+
+makeProposal :: Population -> [Direction] -> Elf -> Elf
+makeProposal grove directions elf 
+  | isolated localElves elf = elf
+  | otherwise = fromMaybe elf $ getFirst $ mconcat $ fmap First $ fmap (proposedStep localElves elf) directions
+  where localElves = nearby grove elf
+
+proposedStep :: Population -> Elf -> Direction -> Maybe Elf
+proposedStep grove elf direction
+  | noElves grove interfering = Just $ elf & proposed .~ (here ^+^ (stepDelta direction))
+  | otherwise = Nothing 
+  where here = elf ^. current
+        interfering = translateTo here $ directionNeighbour direction
+
+-- find clashing elves and prevent them moving
+
+findClashes :: Population -> S.Set Position
+findClashes grove = MS.toSet $ MS.foldOccur ifMany MS.empty targets
+  where targets = MS.map _proposed $ MS.fromSet grove
+        ifMany t n s 
+          | n == 1 = s
+          | otherwise = MS.insert t s
+
+stopClashingElves :: S.Set Position -> GroveState ()
+stopClashingElves clashes =
+  do grove <- gets currentGrove
+     let grove' = S.map (notClash clashes) grove
+     modify' (\g -> g { currentGrove = grove'})
+
+notClash :: S.Set Position -> Elf -> Elf
+notClash clashes elf 
+  | (elf ^. proposed) `S.member` clashes = elf & proposed .~ (elf ^. current)
+  | otherwise = elf
+
+-- the elves move
+
+moveElf :: Elf -> Elf
+moveElf elf = elf & current .~ (elf ^. proposed)
+
+-- part 1 solution utilities
+
+findBounds :: Population -> (Position, Position)
+findBounds grove = ((V2 minX minY), (V2 maxX maxY))
+  where minX = fromJust $ minimumOf (folded . current . _x) grove
+        minY = fromJust $ minimumOf (folded . current . _y) grove
+        maxX = fromJust $ maximumOf (folded . current . _x) grove
+        maxY = fromJust $ maximumOf (folded . current . _y) grove
+
+countEmpty :: Population -> (Position, Position) -> Int
+countEmpty grove bounds = (rangeSize bounds) - (S.size grove)
+
+-- Parse the input file
+
+mkGrove :: String -> Population
+mkGrove text = S.fromList
+      [ Elf (V2 x y) (V2 x y) 
+      | x <- [0..maxX], y <- [0..maxY]
+      , isElf x y
+      ]
+  where rows = reverse $ lines text
+        maxY = length rows - 1
+        maxX = (length $ head rows) - 1
+        isElf x y = ((rows !! y) !! x) == '#'
-- 
2.34.1


From 549425defbc1482abcef0e926094f0817842a4f5 Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Tue, 3 Jan 2023 15:14:57 +0000
Subject: [PATCH 13/16] Added HashSet implementation

---
 advent-of-code22.cabal    |   5 +
 advent23/Main.hs          |  15 ++-
 advent23/MainUnordered.hs | 221 ++++++++++++++++++++++++++++++++++++++
 3 files changed, 236 insertions(+), 5 deletions(-)
 create mode 100644 advent23/MainUnordered.hs

diff --git a/advent-of-code22.cabal b/advent-of-code22.cabal
index 24f58ef..5a5315d 100644
--- a/advent-of-code22.cabal
+++ b/advent-of-code22.cabal
@@ -246,6 +246,11 @@ executable advent23original
   main-is: advent23/MainOriginal.hs
   build-depends: containers, linear, lens, mtl, multiset
 
+executable advent23u
+  import: common-extensions, build-directives
+  main-is: advent23/MainUnordered.hs
+  build-depends: unordered-containers, hashable, linear, lens, mtl, multiset
+
 executable advent23
   import: common-extensions, build-directives
   main-is: advent23/Main.hs
diff --git a/advent23/Main.hs b/advent23/Main.hs
index 08eef6c..e604a96 100644
--- a/advent23/Main.hs
+++ b/advent23/Main.hs
@@ -9,6 +9,7 @@ import Data.Monoid
 import Control.Monad.State.Strict
 import Control.Monad.ST
 import qualified Data.Array.IArray as A
+import Data.Array.IArray ((!))
 import qualified Data.Array.MArray as M
 import Data.Array.ST
 import Data.Maybe
@@ -73,6 +74,13 @@ simulateN n =
      simulateN (n - 1)
 
 simulateOnce =
+  do  updateGrove
+      growGrove
+      updateDirections
+      updateCount
+
+updateGrove :: GroveState ()
+updateGrove  = 
   do  grove <- gets currentGrove
       proposalsInf <- gets proposalDirections
       let proposals = take 4 proposalsInf
@@ -85,9 +93,6 @@ simulateOnce =
                  moveElves mPopulation
                  return mPopulation
       modify' (\g -> g { currentGrove = newGrove})
-      growGrove
-      updateDirections
-      updateCount
 
 growGrove = 
   do grove <- gets currentGrove
@@ -206,7 +211,7 @@ shrink grove findStrip stripDirection currentBounds
   where shiftBounds (b0, b1) (d0, d1) = (b0 ^+^ d0, b1 ^+^ d1)
 
 emptyStrip :: Population -> (Position, Position) -> Bool
-emptyStrip grove strip = all isNothing $ fmap (grove A.!) $ range strip
+emptyStrip grove strip = all isNothing $ fmap (grove !) $ range strip
 
 topStrip, bottomStrip, leftStrip, rightStrip :: (Position, Position) -> (Position, Position)
 topStrip    (V2 minX _minY, V2 maxX maxY) = (V2 minX maxY, V2 maxX maxY)
@@ -221,7 +226,7 @@ leftShrink = (V2 1 0, V2 0 0)
 rightShrink = (V2 0 0, V2 -1 0)
 
 countEmpty :: Population -> (Position, Position) -> Int
-countEmpty grove bounds = length $ filter isNothing $ fmap (grove A.!) cells
+countEmpty grove bounds = length $ filter isNothing $ fmap (grove !) cells
   where cells = range bounds
 
 -- Parse the input file
diff --git a/advent23/MainUnordered.hs b/advent23/MainUnordered.hs
new file mode 100644
index 0000000..a765b1a
--- /dev/null
+++ b/advent23/MainUnordered.hs
@@ -0,0 +1,221 @@
+-- Writeup at https://work.njae.me.uk/2022/12/23/advent-of-code-2022-day-23/
+
+-- import Debug.Trace
+
+import AoC
+import qualified Data.HashSet as S
+import Linear
+import Control.Lens
+import Data.Ix
+import Data.Maybe
+-- import Data.Char
+import Data.Monoid
+import Data.MultiSet as MS
+import Control.Monad.State.Strict
+import Data.Hashable
+
+
+type Position = V2 Int -- r, c
+
+data Direction = North | South | West | East
+  deriving (Show, Eq, Ord, Enum, Bounded)
+
+data Elf = Elf { _current :: Position, _proposed :: Position}
+  -- deriving (Show, Eq, Ord)
+  -- deriving (Eq, Ord)
+makeLenses ''Elf  
+
+instance Show Elf where
+  show elf = "Elf {c= " ++ (show (elf ^. current)) 
+                        ++ ", p= " ++ (show (elf ^. proposed)) 
+                        ++ " -> " ++ (show (directionOfElf elf)) 
+                        ++ "}"
+
+instance Eq Elf where
+  e1 == e2 = (_current e1) == (_current e2)
+
+instance Ord Elf where
+  e1 `compare` e2 = (_current e1) `compare` (_current e2)
+
+instance Hashable Elf where
+  hashWithSalt s e = hashWithSalt s (e ^. current)
+
+type Population = S.HashSet Elf
+
+data Grove = Grove { currentGrove :: Population, proposalDirections :: [Direction], elapsedRounds :: Int}
+  deriving (Eq)
+
+instance Show Grove where
+  show grove = (show $ currentGrove grove) ++ ", " ++ (show $ take 4 $ proposalDirections grove) ++ ", e = " ++ (show $ elapsedRounds grove)
+
+type GroveState = State Grove
+
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- readFile dataFileName
+      let grove = Grove (mkGrove text) (cycle [North .. East]) 0
+      -- print grove
+      -- print $ execState simulateOnce grove
+      -- print $ execState (simulateN 4) grove
+      print $ part1 grove
+      print $ part2 grove
+
+part1, part2 :: Grove -> Int
+part1 grove = countEmpty grove' bounds
+  where grove' = currentGrove $ execState (simulateN 10) grove
+        bounds = findBounds grove'
+
+part2 grove = elapsedRounds grove'
+  where grove' = execState simulateToCompletion grove
+
+directionOfElf :: Elf -> Maybe Direction
+directionOfElf elf
+  | delta == V2 0 1 = Just North
+  | delta == V2 0 -1 = Just South
+  | delta == V2 1 0 = Just East
+  | delta == V2 -1 0 = Just West
+  | otherwise = Nothing
+  where delta = (elf ^. proposed) ^-^ (elf ^. current) 
+
+simulateToCompletion, simulateOnce, proposeMoves, removeClashes, moveElves, updateDirections, updateCount :: GroveState ()
+simulateToCompletion =
+  do oldGrove <- gets currentGrove
+     simulateOnce
+     newGrove <- gets currentGrove
+     if oldGrove == newGrove
+     then return ()
+     else simulateToCompletion
+
+simulateN :: Int -> GroveState ()
+simulateN 0 = return ()
+simulateN n = 
+  do simulateOnce
+     simulateN (n - 1)
+
+simulateOnce =
+  do proposeMoves
+     removeClashes
+     moveElves
+     updateDirections
+     updateCount
+
+proposeMoves =
+  do grove <- gets currentGrove
+     proposalsInf <- gets proposalDirections
+     let proposals = take 4 proposalsInf
+     let grove' = S.map (makeProposal grove proposals) grove
+     modify' (\g -> g { currentGrove = grove'})
+
+removeClashes =
+  do grove <- gets currentGrove
+     let clashes = findClashes grove
+     stopClashingElves clashes
+
+moveElves = 
+  do grove <- gets currentGrove
+     let grove' = S.map moveElf grove
+     modify' (\g -> g { currentGrove = grove'})
+
+updateDirections = modify' (\g -> g { proposalDirections = tail (proposalDirections g)})
+updateCount = modify' (\g -> g { elapsedRounds = (elapsedRounds g) + 1})
+
+-- position changing utilities
+
+anyNeighbour :: S.HashSet Position
+anyNeighbour = S.fromList [ V2 dx dy 
+                          | dx <- [-1, 0, 1]
+                          , dy <- [-1, 0, 1]
+                          , not ((dx == 0) && (dy == 0))
+                          ]
+
+directionNeighbour :: Direction -> S.HashSet Position
+directionNeighbour North = S.filter (\d -> d ^. _y ==  1) anyNeighbour
+directionNeighbour South = S.filter (\d -> d ^. _y == -1) anyNeighbour
+directionNeighbour West  = S.filter (\d -> d ^. _x == -1) anyNeighbour
+directionNeighbour East  = S.filter (\d -> d ^. _x ==  1) anyNeighbour
+
+stepDelta :: Direction -> Position
+stepDelta North = V2  0  1
+stepDelta South = V2  0 -1
+stepDelta West  = V2 -1  0
+stepDelta East  = V2  1  0
+
+translateTo :: Position -> S.HashSet Position -> S.HashSet Position
+translateTo here deltas = S.map (here ^+^) deltas
+
+noElves :: Population -> S.HashSet Position -> Bool
+noElves elves tests = S.null $ S.intersection tests $ S.map _current elves
+
+-- get elves to make proposals 
+
+isolated :: Population -> Elf -> Bool
+isolated elves elf = noElves elves $ translateTo (elf ^. current) $ anyNeighbour
+
+nearby :: Population -> Elf -> Population
+nearby elves elf = S.filter (\e -> (e ^. current) `S.member` nbrs) elves 
+  where nbrs = translateTo (elf ^. current) $ anyNeighbour
+
+makeProposal :: Population -> [Direction] -> Elf -> Elf
+makeProposal grove directions elf 
+  | isolated localElves elf = elf
+  | otherwise = fromMaybe elf $ getFirst $ mconcat $ fmap First $ fmap (proposedStep localElves elf) directions
+  where localElves = nearby grove elf
+
+proposedStep :: Population -> Elf -> Direction -> Maybe Elf
+proposedStep grove elf direction
+  | noElves grove interfering = Just $ elf & proposed .~ (here ^+^ (stepDelta direction))
+  | otherwise = Nothing 
+  where here = elf ^. current
+        interfering = translateTo here $ directionNeighbour direction
+
+-- find clashing elves and prevent them moving
+
+findClashes :: Population -> S.HashSet Position
+findClashes grove = S.fromList $ MS.distinctElems $ MS.foldOccur ifMany MS.empty targets
+  where targets = MS.map _proposed $ MS.fromList $ S.toList grove
+        ifMany t n s 
+          | n == 1 = s
+          | otherwise = MS.insert t s
+
+stopClashingElves :: S.HashSet Position -> GroveState ()
+stopClashingElves clashes =
+  do grove <- gets currentGrove
+     let grove' = S.map (notClash clashes) grove
+     modify' (\g -> g { currentGrove = grove'})
+
+notClash :: S.HashSet Position -> Elf -> Elf
+notClash clashes elf 
+  | (elf ^. proposed) `S.member` clashes = elf & proposed .~ (elf ^. current)
+  | otherwise = elf
+
+-- the elves move
+
+moveElf :: Elf -> Elf
+moveElf elf = elf & current .~ (elf ^. proposed)
+
+-- part 1 solution utilities
+
+findBounds :: Population -> (Position, Position)
+findBounds grove = ((V2 minX minY), (V2 maxX maxY))
+  where minX = fromJust $ minimumOf (folded . current . _x) grove
+        minY = fromJust $ minimumOf (folded . current . _y) grove
+        maxX = fromJust $ maximumOf (folded . current . _x) grove
+        maxY = fromJust $ maximumOf (folded . current . _y) grove
+
+countEmpty :: Population -> (Position, Position) -> Int
+countEmpty grove bounds = (rangeSize bounds) - (S.size grove)
+
+-- Parse the input file
+
+mkGrove :: String -> Population
+mkGrove text = S.fromList
+      [ Elf (V2 x y) (V2 x y) 
+      | x <- [0..maxX], y <- [0..maxY]
+      , isElf x y
+      ]
+  where rows = reverse $ lines text
+        maxY = length rows - 1
+        maxX = (length $ head rows) - 1
+        isElf x y = ((rows !! y) !! x) == '#'
-- 
2.34.1


From 4087698696ed09477c3b5073f3d4d93d85c0a632 Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Tue, 18 Jul 2023 15:22:56 +0100
Subject: [PATCH 14/16] Reworking day 16

---
 advent-of-code22.cabal         |  57 +++++
 advent16/Main.hs               | 252 ++++++++++++++-------
 advent16/MainBeam.hs           | 362 +++++++++++++++++++++++++++++
 advent16/MainCustomClosed.hs   | 401 +++++++++++++++++++++++++++++++++
 advent16/MainEstSort.hs        | 352 +++++++++++++++++++++++++++++
 advent16/MainOriginal.hs       | 275 ++++++++++++++++++++++
 advent16/MainOriginalNoBeam.hs | 275 ++++++++++++++++++++++
 advent16/MainSPar.hs           | 323 ++++++++++++++++++++++++++
 advent16/MainSubsets.hs        | 309 +++++++++++++++++++++++++
 advent16/a16-solution.dot.png  | Bin 0 -> 202269 bytes
 advent16/a16.dot               |  94 ++++++++
 11 files changed, 2618 insertions(+), 82 deletions(-)
 create mode 100644 advent16/MainBeam.hs
 create mode 100644 advent16/MainCustomClosed.hs
 create mode 100644 advent16/MainEstSort.hs
 create mode 100644 advent16/MainOriginal.hs
 create mode 100644 advent16/MainOriginalNoBeam.hs
 create mode 100644 advent16/MainSPar.hs
 create mode 100644 advent16/MainSubsets.hs
 create mode 100644 advent16/a16-solution.dot.png
 create mode 100644 advent16/a16.dot

diff --git a/advent-of-code22.cabal b/advent-of-code22.cabal
index 5a5315d..8a1b109 100644
--- a/advent-of-code22.cabal
+++ b/advent-of-code22.cabal
@@ -206,6 +206,63 @@ executable advent15prof
                        -eventlog
                        -rtsopts "-with-rtsopts=-N -p -s -hT -ls"
 
+executable advent16original
+  import: common-extensions, build-directives
+  main-is: advent16/MainOriginal.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, split
+
+executable advent16originalnobeam
+  import: common-extensions, build-directives
+  main-is: advent16/MainOriginalNoBeam.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, split
+
+executable advent16sort
+  import: common-extensions, build-directives
+  main-is: advent16/MainEstSort.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, split
+
+executable advent16beam
+  import: common-extensions, build-directives
+  main-is: advent16/MainBeam.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, split
+
+executable advent16customclosed
+  import: common-extensions, build-directives
+  main-is: advent16/MainCustomClosed.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, split
+
+executable advent16spar
+  import: common-extensions, build-directives
+  main-is: advent16/MainSPar.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, split, parallel, deepseq
+
+executable advent16sparprof
+  import: common-extensions, build-directives
+  main-is: advent16/MainSPar.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, split, parallel, deepseq
+  ghc-options:         -O2 
+                       -Wall 
+                       -threaded 
+                       -eventlog
+                       -fprof-auto
+                       -rtsopts "-with-rtsopts=-N -p -s -hT -ls"
+
+executable advent16subsets
+  import: common-extensions, build-directives
+  main-is: advent16/MainSubsets.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, split
+
+executable advent16subsetsprof
+  import: common-extensions, build-directives
+  main-is: advent16/MainSubsets.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, split
+  ghc-options:         -O2 
+                       -Wall 
+                       -threaded 
+                       -eventlog
+                       -fprof-auto
+                       -rtsopts "-with-rtsopts=-N -p -s -hT -ls"
+
 executable advent16
   import: common-extensions, build-directives
   main-is: advent16/Main.hs
diff --git a/advent16/Main.hs b/advent16/Main.hs
index 7db601d..30d0843 100644
--- a/advent16/Main.hs
+++ b/advent16/Main.hs
@@ -1,6 +1,6 @@
 -- Writeup at https://work.njae.me.uk/2022/12/17/advent-of-code-2022-day-16/
 
--- import Debug.Trace
+import Debug.Trace
 
 import AoC
 import Data.Text (Text)
@@ -12,39 +12,44 @@ import qualified Data.Set as S
 import qualified Data.Sequence as Q
 import qualified Data.Map.Strict as M
 import Data.Map.Strict ((!))
-import Data.Sequence ((|>)) 
+-- import Data.Sequence ((|>), Seq((:|>)), ViewR ((:>))) 
+import Data.Sequence ( (|>), Seq((:|>)) )
 import Data.List
 import Data.List.Split (chunksOf)
 import Data.Ord
 import Control.Monad.Reader
 import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
 
--- pattern Empty   <- (Q.viewl -> Q.EmptyL)  where Empty = Q.empty
--- pattern x :< xs <- (Q.viewl -> x Q.:< xs) where (:<)  = (Q.<|) 
--- pattern xs :> x <- (Q.viewr -> xs Q.:> x) where (:>)  = (Q.|>) 
 
 type RoomID = String
 
+data Tunnel = Tunnel { _tunnelTo :: RoomID, _tunnelLength :: Int}
+    deriving (Eq, Show, Ord)
+makeLenses ''Tunnel
+
 data Room = Room 
     { _flowRate :: Int
-    , _tunnels :: [RoomID]
+    , _tunnels :: S.Set Tunnel
     } deriving (Eq, Show, Ord)
 makeLenses ''Room
 
 type Cave = M.Map RoomID Room
-data TimedCave = TimedCave { getCave :: Cave, getTimeLimit :: Int}
+data TimedCave = TimedCave { getCave :: Cave, getTimeLimit :: Int , getSortedRooms :: [RoomID]}
 
 type CaveContext = Reader TimedCave
 
 data SingleSearchState = SingleSearchState
     { _currentRoom :: RoomID
+    , _currentTime :: Int
     , _sOpenValves :: S.Set RoomID
     } deriving (Eq, Show, Ord)
 makeLenses ''SingleSearchState
 
 data DoubleSearchState = DoubleSearchState
     { _personRoom :: RoomID
+    , _personTime :: Int
     , _elephantRoom :: RoomID
+    , _elephantTime :: Int
     , _dOpenValves :: S.Set RoomID
     } deriving (Eq, Show, Ord)
 makeLenses ''DoubleSearchState
@@ -59,17 +64,24 @@ makeLenses ''Agendum
 
 type Agenda s = P.MaxPQueue Int (Agendum s)
 
-type ExploredStates s = S.Set (s, Int, Int)
+-- state, total flowed so far
+type ExploredStates s = S.Set (s, Int)
 
 
 class (Eq s, Ord s, Show s) => SearchState s where
   emptySearchState :: RoomID -> s
   currentFlow :: s -> CaveContext Int
+  timeOf :: s -> Int
   successors :: s -> CaveContext (Q.Seq s)
-  estimateBenefit :: s -> Int -> CaveContext Int
+  -- estimateBenefit :: s -> Int -> CaveContext Int
+  estimateBenefit :: s -> CaveContext Int
 
 instance SearchState SingleSearchState where
-  emptySearchState startID = SingleSearchState { _currentRoom = startID, _sOpenValves = S.empty }
+  emptySearchState startID = SingleSearchState 
+        { _currentRoom = startID
+        , _currentTime = 0
+        , _sOpenValves = S.empty 
+        }
 
   currentFlow state =
     do cave <- asks getCave
@@ -77,29 +89,31 @@ instance SearchState SingleSearchState where
        let presentRooms = cave `M.restrictKeys` valves
        return $ sumOf (folded . flowRate) presentRooms
 
+  timeOf state = state ^. currentTime
+
   successors state = 
     do isFF <- isFullFlow state
+       -- cave <- asks getCave
+       timeLimit <- asks getTimeLimit
        let here = state ^. currentRoom
        let opened = state ^. sOpenValves
-       succPairs <- personSuccessor here opened
-       let succStates = 
-              [ SingleSearchState 
-                  { _currentRoom = r
-                  , _sOpenValves = o
-                  }
-              | (r, o) <- succPairs
-              ]
-       if isFF
-       then return $ Q.singleton state
-       else return $ Q.fromList succStates
-
-  estimateBenefit here timeElapsed = 
+       let now = state ^. currentTime
+       succs <- agentSuccessor now opened now here
+       let succStates = Q.fromList succs
+       if isFF || (Q.null succStates)
+       then return $ Q.singleton (state & currentTime .~ timeLimit)
+       else return succStates
+
+  estimateBenefit here =  
     do cave <- asks getCave
        timeLimit <- asks getTimeLimit
-       let timeRemaining = timeLimit - (timeElapsed + 2)
+       let timeRemaining = timeLimit - (timeOf here)
        cf <- currentFlow here
-       let closedValves = (cave `M.withoutKeys` (here ^. sOpenValves)) ^.. folded . flowRate
-       let sortedClosedValves = sortOn Down closedValves
+       -- let closedValves = (cave `M.withoutKeys` (here ^. sOpenValves)) ^.. folded . flowRate
+       -- let sortedClosedValves = sortOn Down closedValves
+       sortedValves <- asks getSortedRooms
+       let opened = here ^. sOpenValves
+       let sortedClosedValves = [(cave ! v) ^. flowRate | v <- sortedValves, v `S.notMember` opened]
        let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
        return $ (cf * timeRemaining) + otherValveFlows
 
@@ -107,44 +121,64 @@ instance SearchState SingleSearchState where
 instance SearchState DoubleSearchState where
   emptySearchState startID = DoubleSearchState 
       { _personRoom = startID
+      , _personTime = 0
       , _elephantRoom = startID
+      , _elephantTime = 0
       , _dOpenValves = S.empty 
       }
 
   currentFlow state =
     do cave <- asks getCave
-       let valves = state ^. dOpenValves
-       let presentRooms = cave `M.restrictKeys` valves
-       return $ sumOf (folded . flowRate) presentRooms
+       let valves = S.toList $ state ^. dOpenValves
+       return $ sum $ fmap (\v -> (cave ! v) ^. flowRate) valves
+       -- let presentRooms = cave `M.restrictKeys` valves
+       -- return $ sumOf (folded . flowRate) presentRooms
+
+  timeOf state = min (state ^. personTime) (state ^. elephantTime)
 
   successors state = 
     do isFF <- isFullFlow state
+       -- cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let opened = state ^. dOpenValves
+       let pNow = state ^. personTime
+       let eNow = state ^. elephantTime
+       let now = min pNow eNow
        let pHere = state ^. personRoom
        let eHere = state ^. elephantRoom
-       let opened = state ^. dOpenValves
-       pSuccPairs <- personSuccessor pHere opened
-       eSuccPairs <- personSuccessor eHere opened
-       let succStates = 
-              [ DoubleSearchState 
-                  { _personRoom = p
-                  , _elephantRoom = e
-                  , _dOpenValves = S.union po eo
-                  }
-              | (p, po) <- pSuccPairs
-              , (e, eo) <- eSuccPairs
-              ]
-       if isFF
-       then return $ Q.singleton state
-       else return $ Q.fromList succStates
-
-  estimateBenefit here timeElapsed = 
+       pNexts <- agentSuccessor now opened pNow pHere
+       eNexts <- agentSuccessor now opened eNow eHere
+       let nexts =  [ state & personRoom .~ (p ^. currentRoom)
+                            & personTime .~ (p ^. currentTime)
+                            & elephantRoom .~ (e ^. currentRoom)
+                            & elephantTime .~ (e ^. currentTime)
+                            & dOpenValves %~ (S.union (p ^. sOpenValves) . S.union (e ^. sOpenValves))
+                    | p <- pNexts
+                    , e <- eNexts
+                    ]
+       let dedups = if pNow == eNow && pHere == eHere
+                    then filter (\s -> (s ^. personRoom) < (s ^. elephantRoom)) nexts
+                    -- else nexts
+                    else filter (\s -> (s ^. personRoom) /= (s ^. elephantRoom)) nexts
+       -- let succStates = trace ("Succs: in " ++ (show state) ++ " out " ++ (show dedups)) (Q.fromList dedups)
+       let succStates = Q.fromList dedups
+       if isFF || (Q.null succStates)
+       then return $ Q.singleton (state & personTime .~ timeLimit & elephantTime .~ timeLimit)
+       else return succStates
+
+  estimateBenefit here =  
     do cave <- asks getCave
        timeLimit <- asks getTimeLimit
-       let timeRemaining = timeLimit - (timeElapsed + 2)
+       let timeRemaining = timeLimit - (timeOf here)
        cf <- currentFlow here
-       let closedValves = (cave `M.withoutKeys` (here ^. dOpenValves)) ^.. folded . flowRate
-       let sortedClosedValves = fmap sum $ chunksOf 2 $ sortOn Down closedValves
+       -- let closedValves = (cave `M.withoutKeys` (here ^. dOpenValves)) ^.. folded . flowRate
+       -- let sortedClosedValves = fmap sum $ chunksOf 2 $  {-# SCC estSort #-} sortOn Down closedValves
+       -- let sortedClosedValves = fmap sum $ chunksOf 2 $ reverse $ sort closedValves -- no significant improvement
+       sortedValves <- asks getSortedRooms
+       let opened = here ^. dOpenValves
+       let sortedClosedValves = fmap sum $ chunksOf 2 $ [(cave ! v) ^. flowRate | v <- sortedValves, v `S.notMember` opened]
        let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       -- let otherValveFlows = timeRemaining * (sum closedValves) -- 8 minute runtime rather than 1:50
        return $ (cf * timeRemaining) + otherValveFlows
 
 
@@ -152,8 +186,11 @@ main :: IO ()
 main = 
   do  dataFileName <- getDataFileName
       text <- TIO.readFile dataFileName
-      let cave = successfulParse text
+      let expandedCave = successfulParse text
       -- print cave
+      -- print $ reachableFrom cave [Tunnel "AA" 0] S.empty []
+      -- print $ compress cave
+      let cave = compress expandedCave
       print $ part1 cave
       print $ part2 cave
 
@@ -164,10 +201,14 @@ main =
 -- part2 cave = runReader (searchCave "AA") (TimedCave cave 26)
 
 part1, part2 :: Cave -> Int
+-- part1 :: Cave -> Int
 part1 cave = maybe 0 _benefit result
-    where result = runReader (searchCave "AA") (TimedCave cave 30) :: Maybe (Agendum SingleSearchState)
+    where result = runReader (searchCave "AA") (TimedCave cave 30 sortedRooms) :: Maybe (Agendum SingleSearchState)
+          sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys $ M.filter (\r -> r ^. flowRate > 0) cave
 part2 cave = maybe 0 _benefit result
-    where result = runReader (searchCave "AA") (TimedCave cave 26) :: Maybe (Agendum DoubleSearchState)
+    where result = runReader (searchCave "AA") (TimedCave cave 26 sortedRooms) :: Maybe (Agendum DoubleSearchState)
+          sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys $ M.filter (\r -> r ^. flowRate > 0) cave
+          -- sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys cave
 
 searchCave :: SearchState s => String -> CaveContext (Maybe (Agendum s))
 searchCave startRoom = 
@@ -177,13 +218,15 @@ searchCave startRoom =
 initAgenda :: SearchState s => String -> CaveContext (Agenda s)
 initAgenda startID = 
     do let startState = emptySearchState startID
-       b <- estimateBenefit startState 0
+       b <- estimateBenefit startState 
        return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
 
 aStar ::  SearchState s => Agenda s -> ExploredStates s -> CaveContext (Maybe (Agendum s))
 aStar agenda closed 
     -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
-    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : len " ++ (show $ Q.length $ _trail $ snd $ P.findMax agenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : foundFlow " ++ (show $ _trailBenefit $ snd $ P.findMax agenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : foundFlow " ++ (show $ _trailBenefit $ snd $ P.findMax agenda) ++ " : trail " ++ (show $ _trail $ snd $ P.findMax agenda) ++ " : closed " ++ (show closed)) False = undefined
+    -- | trace ("Peeping " ++ (show $ P.findMax agenda)) False = undefined
     | P.null agenda = return Nothing
     | otherwise = 
         do  let (_, currentAgendum) = P.findMax agenda
@@ -191,15 +234,17 @@ aStar agenda closed
             nexts <- candidates currentAgendum closed
             let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
             -- let beamAgenda = P.fromDescList $ P.take 10000 newAgenda -- agenda beam width
-            let beamAgenda = P.fromDescList $ P.take 5000 newAgenda -- agenda beam width
+            -- let beamAgenda = P.fromDescList $ P.take 5000 newAgenda -- agenda beam width
+            -- let beamAgenda = P.fromDescList $ P.take 1000 newAgenda -- agenda beam width
             reachedGoal <- isGoal currentAgendum
-            let cl = (reached, currentAgendum ^. trailBenefit, Q.length $ currentAgendum ^. trail)
+            -- let cl = (reached, currentAgendum ^. trailBenefit, Q.length $ currentAgendum ^. trail)
+            let cl = (reached, currentAgendum ^. trailBenefit)
             if reachedGoal
             then return (Just currentAgendum)
             else if (cl `S.member` closed)
                  then aStar (P.deleteMax agenda) closed
-                 -- else aStar newAgenda (S.insert cl closed)
-                 else aStar beamAgenda (S.insert cl closed)
+                 else aStar newAgenda (S.insert cl closed)
+                 -- else aStar beamAgenda (S.insert cl closed)
 
 
 candidates :: SearchState s => Agendum s -> ExploredStates s -> CaveContext (Q.Seq (Agendum s))
@@ -209,41 +254,65 @@ candidates agendum closed =
         let prevBenefit = agendum ^. trailBenefit
         succs <- successors candidate
         succAgs <- mapM (makeAgendum previous prevBenefit) succs
-        let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit, Q.length $ s ^. trail) `S.notMember` closed) succAgs
+        -- let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit, Q.length $ s ^. trail) `S.notMember` closed) succAgs
+        let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit) `S.notMember` closed) succAgs
         return nonloops
 
-personSuccessor, openValveSuccessor, walkSuccessor ::  RoomID -> S.Set RoomID -> CaveContext [(RoomID, S.Set RoomID)]
-personSuccessor here opened =
-  do ovs <- openValveSuccessor here opened
-     ws <- walkSuccessor here opened
-     return (ovs ++ ws)
 
-openValveSuccessor here opened
-  | here `S.member` opened = return []
-  | otherwise = return [(here, S.insert here opened)]
-
-walkSuccessor here opened = 
-  do cave <- asks getCave
-     let neighbours = (cave ! here) ^. tunnels
-     return [(n, opened) | n <- neighbours]
+agentSuccessor :: Int -> S.Set RoomID -> Int -> RoomID -> CaveContext [SingleSearchState]
+agentSuccessor now opened aTime here 
+  | aTime /= now = return [SingleSearchState { _currentRoom = here, _currentTime = aTime, _sOpenValves = opened }]
+  | otherwise = 
+      do  cave <- asks getCave 
+          timeLimit <- asks getTimeLimit
+          let remaining = S.toList $ S.filter (\t -> (t ^. tunnelTo) `S.notMember` opened) ((cave ! here) ^. tunnels)
+          let moves = [ SingleSearchState 
+                            { _currentRoom = (t ^. tunnelTo)
+                            , _currentTime = now + (t ^. tunnelLength)
+                            , _sOpenValves = opened
+                            }
+                      | t <- remaining
+                      , now + (t ^. tunnelLength) <= timeLimit
+                      ]
+          let opens = if here `S.notMember` opened && (cave ! here) ^. flowRate > 0
+                      then [SingleSearchState { _currentRoom = here, _currentTime = aTime + 1, _sOpenValves = S.insert here opened }]
+                      else []
+          -- let nexts = moves ++ opens
+          let nexts = if null opens then moves else opens
+          let nexts' =  if null nexts
+                        then [ SingleSearchState 
+                                { _currentRoom = here
+                                , _currentTime = timeLimit
+                                , _sOpenValves = opened
+                                } ]
+                        else nexts
+          return nexts'
 
 makeAgendum :: SearchState s => Q.Seq s -> Int -> s -> CaveContext (Agendum s)
 makeAgendum previous prevBenefit newState = 
-    do predicted <- estimateBenefit newState (Q.length previous)
-       cf <- currentFlow newState
+    do predicted <- estimateBenefit newState --  (Q.length previous)
+       -- cf <- currentFlow newState
+       oldFlow <- lastFlow previous (timeOf newState)
        let newTrail = previous |> newState
-       let incurred = prevBenefit + cf
+       let incurred = prevBenefit + oldFlow
        return Agendum { _current = newState
                       , _trail = newTrail
                       , _trailBenefit = incurred
                       , _benefit = incurred + predicted
                       }
 
+lastFlow :: SearchState s => Q.Seq s -> Int -> CaveContext Int
+lastFlow Q.Empty _ = return 0
+lastFlow (_ :|> previous) newTime = 
+  do cf <- currentFlow previous
+     let dt = newTime - (timeOf previous)
+     return (cf * dt)
 
 isGoal :: SearchState s => Agendum s -> CaveContext Bool
 isGoal agendum = 
   do timeLimit <- asks getTimeLimit
-     return $ Q.length (agendum ^. trail) == (timeLimit - 1)
+     let s = agendum ^. current
+     return $ (timeOf s) == timeLimit
 
 isFullFlow :: SearchState s => s -> CaveContext Bool
 isFullFlow state = 
@@ -252,21 +321,40 @@ isFullFlow state =
      let ff = sumOf (folded . flowRate) cave
      return (cf == ff)
 
+compress :: Cave -> Cave
+compress cave = M.mapWithKey (compressRoom cave) cave
+
+compressRoom :: Cave -> RoomID -> Room -> Room
+compressRoom cave here room = room & tunnels .~ t'
+  where t' = reachableFrom cave [Tunnel here 0] S.empty S.empty
+
+reachableFrom :: Cave -> [Tunnel] -> S.Set RoomID -> S.Set Tunnel -> S.Set Tunnel
+reachableFrom _ [] _ routes = routes
+reachableFrom cave (tunnel@(Tunnel here len):boundary) found routes
+  | here `S.member` found = reachableFrom cave boundary found routes
+  | otherwise = reachableFrom cave (boundary ++ (S.toList legs)) (S.insert here found) routes'
+  where exits = (cave ! here) ^. tunnels
+        exits' = S.filter (\t -> (t ^. tunnelTo) `S.notMember` found) exits
+        legs = S.map (\t -> t & tunnelLength .~ (len + 1)) exits'
+        routes' = if (len == 0) || ((cave ! here) ^. flowRate) == 0
+                  then routes
+                  else S.insert tunnel routes
+
 
 -- Parse the input file
 
 caveP :: Parser Cave
 valveP :: Parser (RoomID, Room)
 roomP :: Parser Room
-tunnelsP :: Parser [RoomID]
-turnnelTextP :: Parser Text
+tunnelsP :: Parser (S.Set Tunnel)
+tunnelTextP :: Parser Text
 
 caveP = M.fromList <$> valveP `sepBy` endOfLine
 valveP = (,) <$> ("Valve " *> (many1 letter)) <*> roomP
-roomP = roomify <$> (" has flow rate=" *> decimal) <*> (turnnelTextP *> tunnelsP)
-    where roomify v ts = Room {_flowRate = v, _tunnels = ts }
-tunnelsP = (many1 letter) `sepBy` ", "
-turnnelTextP = "; tunnels lead to valves " <|> "; tunnel leads to valve "
+roomP = Room <$> (" has flow rate=" *> decimal) <*> (tunnelTextP *> tunnelsP)
+    -- where roomify v ts = Room {flowRate = v, tunnels = ts }
+tunnelsP = (S.fromList . (fmap (flip Tunnel 1))) <$> (many1 letter) `sepBy` ", "
+tunnelTextP = "; tunnels lead to valves " <|> "; tunnel leads to valve "
 
 successfulParse :: Text -> Cave
 successfulParse input = 
diff --git a/advent16/MainBeam.hs b/advent16/MainBeam.hs
new file mode 100644
index 0000000..f82731c
--- /dev/null
+++ b/advent16/MainBeam.hs
@@ -0,0 +1,362 @@
+-- Writeup at https://work.njae.me.uk/2022/12/17/advent-of-code-2022-day-16/
+
+-- import Debug.Trace
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Control.Applicative
+import qualified Data.PQueue.Prio.Max as P
+import qualified Data.Set as S
+import qualified Data.Sequence as Q
+import qualified Data.Map.Strict as M
+import Data.Map.Strict ((!))
+-- import Data.Sequence ((|>), Seq((:|>)), ViewR ((:>))) 
+import Data.Sequence ( (|>), Seq((:|>)) )
+import Data.List
+import Data.List.Split (chunksOf)
+import Data.Ord
+import Control.Monad.Reader
+import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+
+
+type RoomID = String
+
+data Tunnel = Tunnel { _tunnelTo :: RoomID, _tunnelLength :: Int}
+    deriving (Eq, Show, Ord)
+makeLenses ''Tunnel
+
+data Room = Room 
+    { _flowRate :: Int
+    , _tunnels :: S.Set Tunnel
+    } deriving (Eq, Show, Ord)
+makeLenses ''Room
+
+type Cave = M.Map RoomID Room
+data TimedCave = TimedCave { getCave :: Cave, getTimeLimit :: Int , getSortedRooms :: [RoomID]}
+
+type CaveContext = Reader TimedCave
+
+data SingleSearchState = SingleSearchState
+    { _currentRoom :: RoomID
+    , _currentTime :: Int
+    , _sOpenValves :: S.Set RoomID
+    } deriving (Eq, Show, Ord)
+makeLenses ''SingleSearchState
+
+data DoubleSearchState = DoubleSearchState
+    { _personRoom :: RoomID
+    , _personTime :: Int
+    , _elephantRoom :: RoomID
+    , _elephantTime :: Int
+    , _dOpenValves :: S.Set RoomID
+    } deriving (Eq, Show, Ord)
+makeLenses ''DoubleSearchState
+
+data Agendum s = 
+    Agendum { _current :: s
+            , _trail :: Q.Seq s
+            , _trailBenefit :: Int
+            , _benefit :: Int
+            } deriving (Show, Eq, Ord)
+makeLenses ''Agendum   
+
+type Agenda s = P.MaxPQueue Int (Agendum s)
+
+-- state, total flowed so far
+type ExploredStates s = S.Set (s, Int)
+
+
+class (Eq s, Ord s, Show s) => SearchState s where
+  emptySearchState :: RoomID -> s
+  currentFlow :: s -> CaveContext Int
+  timeOf :: s -> Int
+  successors :: s -> CaveContext (Q.Seq s)
+  -- estimateBenefit :: s -> Int -> CaveContext Int
+  estimateBenefit :: s -> CaveContext Int
+
+instance SearchState SingleSearchState where
+  emptySearchState startID = SingleSearchState 
+        { _currentRoom = startID
+        , _currentTime = 0
+        , _sOpenValves = S.empty 
+        }
+
+  currentFlow state =
+    do cave <- asks getCave
+       let valves = state ^. sOpenValves
+       let presentRooms = cave `M.restrictKeys` valves
+       return $ sumOf (folded . flowRate) presentRooms
+
+  timeOf state = state ^. currentTime
+
+  successors state = 
+    do isFF <- isFullFlow state
+       -- cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let here = state ^. currentRoom
+       let opened = state ^. sOpenValves
+       let now = state ^. currentTime
+       succs <- agentSuccessor now opened now here
+       let succStates = Q.fromList succs
+       if isFF || (Q.null succStates)
+       then return $ Q.singleton (state & currentTime .~ timeLimit)
+       else return succStates
+
+  estimateBenefit here =  
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeOf here)
+       cf <- currentFlow here
+       -- let closedValves = (cave `M.withoutKeys` (here ^. sOpenValves)) ^.. folded . flowRate
+       -- let sortedClosedValves = sortOn Down closedValves
+       sortedValves <- asks getSortedRooms
+       let opened = here ^. sOpenValves
+       let sortedClosedValves = [(cave ! v) ^. flowRate | v <- sortedValves, v `S.notMember` opened]
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       return $ (cf * timeRemaining) + otherValveFlows
+
+
+instance SearchState DoubleSearchState where
+  emptySearchState startID = DoubleSearchState 
+      { _personRoom = startID
+      , _personTime = 0
+      , _elephantRoom = startID
+      , _elephantTime = 0
+      , _dOpenValves = S.empty 
+      }
+
+  currentFlow state =
+    do cave <- asks getCave
+       let valves = S.toList $ state ^. dOpenValves
+       return $ sum $ fmap (\v -> (cave ! v) ^. flowRate) valves
+       -- let presentRooms = cave `M.restrictKeys` valves
+       -- return $ sumOf (folded . flowRate) presentRooms
+
+  timeOf state = min (state ^. personTime) (state ^. elephantTime)
+
+  successors state = 
+    do isFF <- isFullFlow state
+       -- cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let opened = state ^. dOpenValves
+       let pNow = state ^. personTime
+       let eNow = state ^. elephantTime
+       let now = min pNow eNow
+       let pHere = state ^. personRoom
+       let eHere = state ^. elephantRoom
+       pNexts <- agentSuccessor now opened pNow pHere
+       eNexts <- agentSuccessor now opened eNow eHere
+       let nexts =  [ state & personRoom .~ (p ^. currentRoom)
+                            & personTime .~ (p ^. currentTime)
+                            & elephantRoom .~ (e ^. currentRoom)
+                            & elephantTime .~ (e ^. currentTime)
+                            & dOpenValves %~ (S.union (p ^. sOpenValves) . S.union (e ^. sOpenValves))
+                    | p <- pNexts
+                    , e <- eNexts
+                    ]
+       let dedups = if pNow == eNow && pHere == eHere
+                    then filter (\s -> (s ^. personRoom) < (s ^. elephantRoom)) nexts
+                    -- else nexts
+                    else filter (\s -> (s ^. personRoom) /= (s ^. elephantRoom)) nexts
+       -- let succStates = trace ("Succs: in " ++ (show state) ++ " out " ++ (show dedups)) (Q.fromList dedups)
+       let succStates = Q.fromList dedups
+       if isFF || (Q.null succStates)
+       then return $ Q.singleton (state & personTime .~ timeLimit & elephantTime .~ timeLimit)
+       else return succStates
+
+  estimateBenefit here =  
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeOf here)
+       cf <- currentFlow here
+       -- let closedValves = (cave `M.withoutKeys` (here ^. dOpenValves)) ^.. folded . flowRate
+       -- let sortedClosedValves = fmap sum $ chunksOf 2 $  {-# SCC estSort #-} sortOn Down closedValves
+       -- let sortedClosedValves = fmap sum $ chunksOf 2 $ reverse $ sort closedValves -- no significant improvement
+       sortedValves <- asks getSortedRooms
+       let opened = here ^. dOpenValves
+       let sortedClosedValves = fmap sum $ chunksOf 2 $ [(cave ! v) ^. flowRate | v <- sortedValves, v `S.notMember` opened]
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       -- let otherValveFlows = timeRemaining * (sum closedValves) -- 8 minute runtime rather than 1:50
+       return $ (cf * timeRemaining) + otherValveFlows
+
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let expandedCave = successfulParse text
+      -- print cave
+      -- print $ reachableFrom cave [Tunnel "AA" 0] S.empty []
+      -- print $ compress cave
+      let cave = compress expandedCave
+      print $ part1 cave
+      print $ part2 cave
+
+-- part1 :: Cave -> Maybe (Agendum SingleSearchState)
+-- part1 cave = runReader (searchCave "AA") (TimedCave cave 30)
+
+-- part2 :: Cave -> Maybe (Agendum DoubleSearchState)
+-- part2 cave = runReader (searchCave "AA") (TimedCave cave 26)
+
+part1, part2 :: Cave -> Int
+-- part1 :: Cave -> Int
+part1 cave = maybe 0 _benefit result
+    where result = runReader (searchCave "AA") (TimedCave cave 30 sortedRooms) :: Maybe (Agendum SingleSearchState)
+          sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys $ M.filter (\r -> r ^. flowRate > 0) cave
+part2 cave = maybe 0 _benefit result
+    where result = runReader (searchCave "AA") (TimedCave cave 26 sortedRooms) :: Maybe (Agendum DoubleSearchState)
+          sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys $ M.filter (\r -> r ^. flowRate > 0) cave
+          -- sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys cave
+
+searchCave :: SearchState s => String -> CaveContext (Maybe (Agendum s))
+searchCave startRoom = 
+    do agenda <- initAgenda startRoom
+       aStar agenda S.empty
+
+initAgenda :: SearchState s => String -> CaveContext (Agenda s)
+initAgenda startID = 
+    do let startState = emptySearchState startID
+       b <- estimateBenefit startState 
+       return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
+
+aStar ::  SearchState s => Agenda s -> ExploredStates s -> CaveContext (Maybe (Agendum s))
+aStar agenda closed 
+    -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : foundFlow " ++ (show $ _trailBenefit $ snd $ P.findMax agenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ P.findMax agenda)) False = undefined
+    | P.null agenda = return Nothing
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            -- let beamAgenda = P.fromDescList $ P.take 10000 newAgenda -- agenda beam width
+            -- let beamAgenda = P.fromDescList $ P.take 5000 newAgenda -- agenda beam width
+            let beamAgenda = P.fromDescList $ P.take 1000 newAgenda -- agenda beam width
+            reachedGoal <- isGoal currentAgendum
+            -- let cl = (reached, currentAgendum ^. trailBenefit, Q.length $ currentAgendum ^. trail)
+            let cl = (reached, currentAgendum ^. trailBenefit)
+            if reachedGoal
+            then return (Just currentAgendum)
+            else if (cl `S.member` closed)
+                 then aStar (P.deleteMax agenda) closed
+                 -- else aStar newAgenda (S.insert cl closed)
+                 else aStar beamAgenda (S.insert cl closed)
+
+
+candidates :: SearchState s => Agendum s -> ExploredStates s -> CaveContext (Q.Seq (Agendum s))
+candidates agendum closed = 
+    do  let candidate = agendum ^. current
+        let previous = agendum ^. trail
+        let prevBenefit = agendum ^. trailBenefit
+        succs <- successors candidate
+        succAgs <- mapM (makeAgendum previous prevBenefit) succs
+        -- let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit, Q.length $ s ^. trail) `S.notMember` closed) succAgs
+        let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit) `S.notMember` closed) succAgs
+        return nonloops
+
+
+agentSuccessor :: Int -> S.Set RoomID -> Int -> RoomID -> CaveContext [SingleSearchState]
+agentSuccessor now opened aTime here 
+  | aTime /= now = return [SingleSearchState { _currentRoom = here, _currentTime = aTime, _sOpenValves = opened }]
+  | otherwise = 
+      do  cave <- asks getCave 
+          timeLimit <- asks getTimeLimit
+          let remaining = S.toList $ S.filter (\t -> (t ^. tunnelTo) `S.notMember` opened) ((cave ! here) ^. tunnels)
+          let moves = [ SingleSearchState 
+                            { _currentRoom = (t ^. tunnelTo)
+                            , _currentTime = now + (t ^. tunnelLength)
+                            , _sOpenValves = opened
+                            }
+                      | t <- remaining
+                      , now + (t ^. tunnelLength) <= timeLimit
+                      ]
+          let opens = if here `S.notMember` opened && (cave ! here) ^. flowRate > 0
+                      then [SingleSearchState { _currentRoom = here, _currentTime = aTime + 1, _sOpenValves = S.insert here opened }]
+                      else []
+          -- let nexts = moves ++ opens
+          let nexts = if null opens then moves else opens
+          let nexts' =  if null nexts
+                        then [ SingleSearchState 
+                                { _currentRoom = here
+                                , _currentTime = timeLimit
+                                , _sOpenValves = opened
+                                } ]
+                        else nexts
+          return nexts'
+
+makeAgendum :: SearchState s => Q.Seq s -> Int -> s -> CaveContext (Agendum s)
+makeAgendum previous prevBenefit newState = 
+    do predicted <- estimateBenefit newState --  (Q.length previous)
+       -- cf <- currentFlow newState
+       oldFlow <- lastFlow previous (timeOf newState)
+       let newTrail = previous |> newState
+       let incurred = prevBenefit + oldFlow
+       return Agendum { _current = newState
+                      , _trail = newTrail
+                      , _trailBenefit = incurred
+                      , _benefit = incurred + predicted
+                      }
+
+lastFlow :: SearchState s => Q.Seq s -> Int -> CaveContext Int
+lastFlow Q.Empty _ = return 0
+lastFlow (_ :|> previous) newTime = 
+  do cf <- currentFlow previous
+     let dt = newTime - (timeOf previous)
+     return (cf * dt)
+
+isGoal :: SearchState s => Agendum s -> CaveContext Bool
+isGoal agendum = 
+  do timeLimit <- asks getTimeLimit
+     let s = agendum ^. current
+     return $ (timeOf s) == timeLimit
+
+isFullFlow :: SearchState s => s -> CaveContext Bool
+isFullFlow state = 
+  do cave <- asks getCave
+     cf <- currentFlow state
+     let ff = sumOf (folded . flowRate) cave
+     return (cf == ff)
+
+compress :: Cave -> Cave
+compress cave = M.mapWithKey (compressRoom cave) cave
+
+compressRoom :: Cave -> RoomID -> Room -> Room
+compressRoom cave here room = room & tunnels .~ t'
+  where t' = reachableFrom cave [Tunnel here 0] S.empty S.empty
+
+reachableFrom :: Cave -> [Tunnel] -> S.Set RoomID -> S.Set Tunnel -> S.Set Tunnel
+reachableFrom _ [] _ routes = routes
+reachableFrom cave (tunnel@(Tunnel here len):boundary) found routes
+  | here `S.member` found = reachableFrom cave boundary found routes
+  | otherwise = reachableFrom cave (boundary ++ (S.toList legs)) (S.insert here found) routes'
+  where exits = (cave ! here) ^. tunnels
+        exits' = S.filter (\t -> (t ^. tunnelTo) `S.notMember` found) exits
+        legs = S.map (\t -> t & tunnelLength .~ (len + 1)) exits'
+        routes' = if (len == 0) || ((cave ! here) ^. flowRate) == 0
+                  then routes
+                  else S.insert tunnel routes
+
+
+-- Parse the input file
+
+caveP :: Parser Cave
+valveP :: Parser (RoomID, Room)
+roomP :: Parser Room
+tunnelsP :: Parser (S.Set Tunnel)
+tunnelTextP :: Parser Text
+
+caveP = M.fromList <$> valveP `sepBy` endOfLine
+valveP = (,) <$> ("Valve " *> (many1 letter)) <*> roomP
+roomP = Room <$> (" has flow rate=" *> decimal) <*> (tunnelTextP *> tunnelsP)
+    -- where roomify v ts = Room {flowRate = v, tunnels = ts }
+tunnelsP = (S.fromList . (fmap (flip Tunnel 1))) <$> (many1 letter) `sepBy` ", "
+tunnelTextP = "; tunnels lead to valves " <|> "; tunnel leads to valve "
+
+successfulParse :: Text -> Cave
+successfulParse input = 
+  case parseOnly caveP input of
+    Left  _err -> M.empty -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right cave -> cave
\ No newline at end of file
diff --git a/advent16/MainCustomClosed.hs b/advent16/MainCustomClosed.hs
new file mode 100644
index 0000000..63fdf60
--- /dev/null
+++ b/advent16/MainCustomClosed.hs
@@ -0,0 +1,401 @@
+-- Writeup at https://work.njae.me.uk/2022/12/17/advent-of-code-2022-day-16/
+
+import Debug.Trace
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Control.Applicative
+import qualified Data.PQueue.Prio.Max as P
+import qualified Data.Set as S
+import qualified Data.Sequence as Q
+import qualified Data.Map.Strict as M
+import Data.Map.Strict ((!))
+-- import Data.Sequence ((|>), Seq((:|>)), ViewR ((:>))) 
+import Data.Sequence ( (<|), (|>), Seq((:|>)) )
+import Data.List
+import Data.List.Split (chunksOf)
+import Data.Ord
+import Control.Monad.Reader
+import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+
+
+type RoomID = String
+
+data Tunnel = Tunnel { _tunnelTo :: RoomID, _tunnelLength :: Int}
+    deriving (Eq, Show, Ord)
+makeLenses ''Tunnel
+
+data Room = Room 
+    { _flowRate :: Int
+    , _tunnels :: S.Set Tunnel
+    } deriving (Eq, Show, Ord)
+makeLenses ''Room
+
+type Cave = M.Map RoomID Room
+data TimedCave = TimedCave { getCave :: Cave, getTimeLimit :: Int , getSortedRooms :: [RoomID]}
+
+type CaveContext = Reader TimedCave
+
+data SingleSearchState = SingleSearchState
+    { _currentRoom :: RoomID
+    , _currentTime :: Int
+    , _sOpenValves :: [RoomID]
+    } deriving (Eq, Show, Ord)
+makeLenses ''SingleSearchState
+
+data DoubleSearchState = DoubleSearchState
+    { _personRoom :: RoomID
+    , _personTime :: Int
+    , _elephantRoom :: RoomID
+    , _elephantTime :: Int
+    , _dOpenValves :: [RoomID]
+    } deriving (Eq, Show, Ord)
+makeLenses ''DoubleSearchState
+
+data Agendum s = 
+    Agendum { _current :: s
+            , _trail :: Q.Seq s
+            , _trailBenefit :: Int
+            , _benefit :: Int
+            } deriving (Show, Eq, Ord)
+makeLenses ''Agendum   
+
+type Agenda s = P.MaxPQueue Int (Agendum s)
+
+-- state, total flowed so far
+-- type ExploredStates s = S.Set (s, Int)
+
+
+class (Eq s, Ord s, Show s) => SearchState s where
+  emptySearchState :: RoomID -> s
+  currentFlow :: s -> CaveContext Int
+  timeOf :: s -> Int
+  successors :: s -> CaveContext (Q.Seq s)
+  -- estimateBenefit :: s -> Int -> CaveContext Int
+  estimateBenefit :: s -> CaveContext Int
+
+  data ExploredStateKey s
+  -- type ExploredStates s
+
+  mkExploredKey :: s -> (ExploredStateKey s)
+
+-- type ExploredStates s = M.Map (ExploredStateKey s) Int -- room/valves to time
+type ExploredStates s = S.Set ((ExploredStateKey s), Int) -- room & valves, trail benefit
+
+instance SearchState SingleSearchState where
+  emptySearchState startID = SingleSearchState 
+        { _currentRoom = startID
+        , _currentTime = 0
+        , _sOpenValves = []
+        }
+
+  data ExploredStateKey SingleSearchState = SingleExploredStateKey RoomID [RoomID] -- current room and open valves
+    deriving (Show, Eq, Ord)
+
+  mkExploredKey s = SingleExploredStateKey (s ^. currentRoom) (s ^. sOpenValves)
+
+  currentFlow state =
+    do cave <- asks getCave
+       let valves = state ^. sOpenValves
+       let presentRooms = cave `M.restrictKeys` (S.fromList valves)
+       -- let presentRooms = M.filter (\v -> v `elem` valves) cave
+       return $ sumOf (folded . flowRate) presentRooms
+
+  timeOf state = state ^. currentTime
+
+  successors state = 
+    do isFF <- isFullFlow state
+       -- cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let here = state ^. currentRoom
+       let opened = state ^. sOpenValves
+       let now = state ^. currentTime
+       succs <- agentSuccessor now opened now here
+       let succStates = Q.fromList succs
+       if isFF || (Q.null succStates)
+       then return $ Q.singleton (state & currentTime .~ timeLimit)
+       else return succStates
+
+  estimateBenefit here =  
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeOf here)
+       cf <- currentFlow here
+       -- let closedValves = (cave `M.withoutKeys` (here ^. sOpenValves)) ^.. folded . flowRate
+       -- let sortedClosedValves = sortOn Down closedValves
+       sortedValves <- asks getSortedRooms
+       let opened = here ^. sOpenValves
+       let sortedClosedValves = [(cave ! v) ^. flowRate | v <- sortedValves, v `notElem` opened]
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       return $ (cf * timeRemaining) + otherValveFlows
+
+
+instance SearchState DoubleSearchState where
+  emptySearchState startID = DoubleSearchState 
+      { _personRoom = startID
+      , _personTime = 0
+      , _elephantRoom = startID
+      , _elephantTime = 0
+      , _dOpenValves = []
+      }
+
+  data ExploredStateKey DoubleSearchState = DoubleExploredStateKey RoomID RoomID [RoomID] -- current room (person, elephant) and open valves
+    -- deriving (Show)
+    deriving (Show, Eq, Ord)
+  -- type ExploredStates DoubleSearchState = M.Map (DoubleExploredStateKey DoubleSearchState) Int -- room/valves to time
+
+  mkExploredKey s = DoubleExploredStateKey minRoom maxRoom (s ^. dOpenValves)
+    where minRoom = min (s ^. personRoom) (s ^. elephantRoom)
+          maxRoom = max (s ^. personRoom) (s ^. elephantRoom)
+
+  currentFlow state =
+    do cave <- asks getCave
+       -- let valves = S.toList $ state ^. dOpenValves
+       let valves = state ^. dOpenValves
+       return $ sum $ fmap (\v -> (cave ! v) ^. flowRate) valves
+       -- let presentRooms = cave `M.restrictKeys` valves
+       -- return $ sumOf (folded . flowRate) presentRooms
+
+  timeOf state = min (state ^. personTime) (state ^. elephantTime)
+
+  successors state = 
+    do isFF <- isFullFlow state
+       -- cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let opened = state ^. dOpenValves
+       let pNow = state ^. personTime
+       let eNow = state ^. elephantTime
+       let now = min pNow eNow
+       let pHere = state ^. personRoom
+       let eHere = state ^. elephantRoom
+       pNexts <- agentSuccessor now opened pNow pHere
+       eNexts <- agentSuccessor now opened eNow eHere
+       let nexts =  [ state & personRoom .~ (p ^. currentRoom)
+                            & personTime .~ (p ^. currentTime)
+                            & elephantRoom .~ (e ^. currentRoom)
+                            & elephantTime .~ (e ^. currentTime)
+                            -- & dOpenValves %~ (S.union (p ^. sOpenValves) . S.union (e ^. sOpenValves))
+                            & dOpenValves .~ (union (union opened (p ^. sOpenValves)) (e ^. sOpenValves))
+                    | p <- pNexts
+                    , e <- eNexts
+                    ]
+       let dedups = if pNow == eNow && pHere == eHere
+                    then filter (\s -> (s ^. personRoom) < (s ^. elephantRoom)) nexts
+                    else nexts
+       -- let succStates = trace ("Succs: in " ++ (show state) ++ " out " ++ (show dedups)) (Q.fromList dedups)
+       let succStates = Q.fromList dedups
+       if isFF || (Q.null succStates)
+       then return $ Q.singleton (state & personTime .~ timeLimit & elephantTime .~ timeLimit)
+       else return succStates
+
+  estimateBenefit here =  
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeOf here)
+       cf <- currentFlow here
+       -- let closedValves = (cave `M.withoutKeys` (here ^. dOpenValves)) ^.. folded . flowRate
+       -- let sortedClosedValves = fmap sum $ chunksOf 2 $  {-# SCC estSort #-} sortOn Down closedValves
+       -- let sortedClosedValves = fmap sum $ chunksOf 2 $ reverse $ sort closedValves -- no significant improvement
+       sortedValves <- asks getSortedRooms
+       let opened = here ^. dOpenValves
+       let sortedClosedValves = fmap sum $ chunksOf 2 $ [(cave ! v) ^. flowRate | v <- sortedValves, v `notElem` opened]
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       -- let otherValveFlows = timeRemaining * (sum closedValves) -- 8 minute runtime rather than 1:50
+       return $ (cf * timeRemaining) + otherValveFlows
+
+-- instance Eq (ExploredStateKey DoubleSearchState) where 
+--     (DoubleExploredStateKey r1a r1b v1) == (DoubleExploredStateKey r2a r2b v2) = 
+--       -- ((r1a == r2a && r1b == r2b) || (r1a == r2b && r1b == r2a)) && v1 == v2
+--       ((min r1a r1b), (max r1a r1b), v1) == ((min r2a r2b), (max r2a r2b), v2)
+--   -- data instance Ord DoubleExploredStateKey where 
+-- instance Ord (ExploredStateKey DoubleSearchState) where 
+--     (DoubleExploredStateKey r1a r1b v1) `compare` (DoubleExploredStateKey r2a r2b v2) = 
+--       ((min r1a r1b), (max r1a r1b), v1) `compare` ((min r2a r2b), (max r2a r2b), v2)
+
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let expandedCave = successfulParse text
+      -- print cave
+      -- print $ reachableFrom cave [Tunnel "AA" 0] S.empty []
+      -- print $ compress cave
+      let cave = compress expandedCave
+      print $ part1 cave
+      print $ part2 cave
+
+-- part1 :: Cave -> Maybe (Agendum SingleSearchState)
+-- part1 cave = runReader (searchCave "AA") (TimedCave cave 30)
+
+-- part2 :: Cave -> Maybe (Agendum DoubleSearchState)
+-- part2 cave = runReader (searchCave "AA") (TimedCave cave 26)
+
+part1, part2 :: Cave -> Int
+-- part1 :: Cave -> Int
+part1 cave = maybe 0 _benefit result
+-- part1 cave = result
+    where result = runReader (searchCave "AA") (TimedCave cave 30 sortedRooms) :: Maybe (Agendum SingleSearchState)
+          sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys $ M.filter (\r -> r ^. flowRate > 0) cave
+part2 cave = maybe 0 _benefit result
+-- part2 cave = result
+    where result = runReader (searchCave "AA") (TimedCave cave 26 sortedRooms) :: Maybe (Agendum DoubleSearchState)
+          sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys $ M.filter (\r -> r ^. flowRate > 0) cave
+          -- sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys cave
+
+searchCave :: ((Ord (ExploredStateKey s)), (Show (ExploredStateKey s)), SearchState s) => String -> CaveContext (Maybe (Agendum s))
+searchCave startRoom = 
+    do agenda <- initAgenda startRoom
+       aStar agenda S.empty
+
+initAgenda :: ((Ord (ExploredStateKey s)), (Show (ExploredStateKey s)), SearchState s) => String -> CaveContext (Agenda s)
+initAgenda startID = 
+    do let startState = emptySearchState startID
+       b <- estimateBenefit startState 
+       return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
+
+aStar :: ((Ord (ExploredStateKey s)), (Show (ExploredStateKey s)), SearchState s) => Agenda s -> ExploredStates s -> CaveContext (Maybe (Agendum s))
+aStar agenda closed 
+       -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : foundFlow " ++ (show $ _trailBenefit $ snd $ P.findMax agenda) ++ " : trail " ++ (show $ _trail $ snd $ P.findMax agenda) ++ " : closed " ++ (show closed)) False = undefined
+       -- | trace ("Peeping " ++ (show $ P.findMax agenda)) False = undefined
+    | P.null agenda = return Nothing
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            -- let beamAgenda = P.fromDescList $ P.take 10000 newAgenda -- agenda beam width
+            -- let beamAgenda = P.fromDescList $ P.take 5000 newAgenda -- agenda beam width
+            -- let beamAgenda = P.fromDescList $ P.take 1000 newAgenda -- agenda beam width
+            reachedGoal <- isGoal currentAgendum
+            -- let cl = (reached, currentAgendum ^. trailBenefit, Q.length $ currentAgendum ^. trail)
+            -- let cl = (reached, currentAgendum ^. trailBenefit)
+            let cl = (mkExploredKey reached, currentAgendum ^. trailBenefit)
+            if reachedGoal
+            then return (Just currentAgendum)
+            else if (cl `elem` closed)
+                 then aStar (P.deleteMax agenda) closed
+                 else aStar newAgenda (S.insert cl closed)
+
+
+candidates :: ((Ord (ExploredStateKey s)), SearchState s) => Agendum s -> ExploredStates s -> CaveContext (Q.Seq (Agendum s))
+candidates agendum closed = 
+    do  let candidate = agendum ^. current
+        let previous = agendum ^. trail
+        let prevBenefit = agendum ^. trailBenefit
+        succs <- successors candidate
+        succAgs <- mapM (makeAgendum previous prevBenefit) succs
+        -- let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit, Q.length $ s ^. trail) `S.notMember` closed) succAgs
+        -- let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit) `S.notMember` closed) succAgs
+        let nonloops = Q.filter (\l -> ((mkExploredKey (l ^. current)), l ^. trailBenefit) `notElem` closed) succAgs
+        return nonloops
+
+
+agentSuccessor :: Int -> [RoomID] -> Int -> RoomID -> CaveContext [SingleSearchState]
+agentSuccessor now opened aTime here 
+  | aTime /= now = return [SingleSearchState { _currentRoom = here, _currentTime = aTime, _sOpenValves = opened }]
+  | otherwise = 
+      do  cave <- asks getCave 
+          timeLimit <- asks getTimeLimit
+          -- let remaining = S.toList $ S.filter (\t -> (t ^. tunnelTo) `S.notMember` opened) ((cave ! here) ^. tunnels)
+          let remaining = [ t 
+                          | t <- (S.toList ((cave ! here) ^. tunnels))
+                          , (t ^. tunnelTo) `notElem` opened
+                          ]
+          let moves = [ SingleSearchState 
+                            { _currentRoom = (t ^. tunnelTo)
+                            , _currentTime = now + (t ^. tunnelLength)
+                            , _sOpenValves = opened
+                            }
+                      | t <- remaining
+                      , now + (t ^. tunnelLength) <= timeLimit
+                      ]
+          let moves' = ( SingleSearchState 
+                                { _currentRoom = here
+                                , _currentTime = timeLimit
+                                , _sOpenValves = opened
+                                } 
+                       : moves)   
+          let opens = if here `notElem` opened && (cave ! here) ^. flowRate > 0
+                      then [SingleSearchState { _currentRoom = here, _currentTime = aTime + 1, _sOpenValves = opened ++ [here] }]
+                      else []
+          -- let nexts = moves ++ opens
+          let nexts = if null opens then moves' else opens
+          return nexts
+
+makeAgendum :: SearchState s => Q.Seq s -> Int -> s -> CaveContext (Agendum s)
+makeAgendum previous prevBenefit newState = 
+    do predicted <- estimateBenefit newState --  (Q.length previous)
+       -- cf <- currentFlow newState
+       oldFlow <- lastFlow previous (timeOf newState)
+       let newTrail = previous |> newState
+       let incurred = prevBenefit + oldFlow
+       return Agendum { _current = newState
+                      , _trail = newTrail
+                      , _trailBenefit = incurred
+                      , _benefit = incurred + predicted
+                      }
+
+lastFlow :: SearchState s => Q.Seq s -> Int -> CaveContext Int
+lastFlow Q.Empty _ = return 0
+lastFlow (_ :|> previous) newTime = 
+  do cf <- currentFlow previous
+     let dt = newTime - (timeOf previous)
+     return (cf * dt)
+
+isGoal :: SearchState s => Agendum s -> CaveContext Bool
+isGoal agendum = 
+  do timeLimit <- asks getTimeLimit
+     let s = agendum ^. current
+     return $ (timeOf s) == timeLimit
+
+isFullFlow :: SearchState s => s -> CaveContext Bool
+isFullFlow state = 
+  do cave <- asks getCave
+     cf <- currentFlow state
+     let ff = sumOf (folded . flowRate) cave
+     return (cf == ff)
+
+compress :: Cave -> Cave
+compress cave = M.mapWithKey (compressRoom cave) cave
+
+compressRoom :: Cave -> RoomID -> Room -> Room
+compressRoom cave here room = room & tunnels .~ t'
+  where t' = reachableFrom cave [Tunnel here 0] S.empty S.empty
+
+reachableFrom :: Cave -> [Tunnel] -> S.Set RoomID -> S.Set Tunnel -> S.Set Tunnel
+reachableFrom _ [] _ routes = routes
+reachableFrom cave (tunnel@(Tunnel here len):boundary) found routes
+  | here `S.member` found = reachableFrom cave boundary found routes
+  | otherwise = reachableFrom cave (boundary ++ (S.toList legs)) (S.insert here found) routes'
+  where exits = (cave ! here) ^. tunnels
+        exits' = S.filter (\t -> (t ^. tunnelTo) `S.notMember` found) exits
+        legs = S.map (\t -> t & tunnelLength .~ (len + 1)) exits'
+        routes' = if (len == 0) || ((cave ! here) ^. flowRate) == 0
+                  then routes
+                  else S.insert tunnel routes
+
+
+-- Parse the input file
+
+caveP :: Parser Cave
+valveP :: Parser (RoomID, Room)
+roomP :: Parser Room
+tunnelsP :: Parser (S.Set Tunnel)
+tunnelTextP :: Parser Text
+
+caveP = M.fromList <$> valveP `sepBy` endOfLine
+valveP = (,) <$> ("Valve " *> (many1 letter)) <*> roomP
+roomP = Room <$> (" has flow rate=" *> decimal) <*> (tunnelTextP *> tunnelsP)
+    -- where roomify v ts = Room {flowRate = v, tunnels = ts }
+tunnelsP = (S.fromList . (fmap (flip Tunnel 1))) <$> (many1 letter) `sepBy` ", "
+tunnelTextP = "; tunnels lead to valves " <|> "; tunnel leads to valve "
+
+successfulParse :: Text -> Cave
+successfulParse input = 
+  case parseOnly caveP input of
+    Left  _err -> M.empty -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right cave -> cave
\ No newline at end of file
diff --git a/advent16/MainEstSort.hs b/advent16/MainEstSort.hs
new file mode 100644
index 0000000..459a10b
--- /dev/null
+++ b/advent16/MainEstSort.hs
@@ -0,0 +1,352 @@
+-- Writeup at https://work.njae.me.uk/2022/12/17/advent-of-code-2022-day-16/
+
+-- import Debug.Trace
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Control.Applicative
+import qualified Data.PQueue.Prio.Max as P
+import qualified Data.Set as S
+import qualified Data.Sequence as Q
+import qualified Data.Map.Strict as M
+import Data.Map.Strict ((!))
+-- import Data.Sequence ((|>), Seq((:|>)), ViewR ((:>))) 
+import Data.Sequence ( (|>), Seq((:|>)) )
+import Data.List
+import Data.List.Split (chunksOf)
+import Data.Ord
+import Control.Monad.Reader
+import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+
+
+type RoomID = String
+
+data Tunnel = Tunnel { _tunnelTo :: RoomID, _tunnelLength :: Int}
+    deriving (Eq, Show, Ord)
+makeLenses ''Tunnel
+
+data Room = Room 
+    { _flowRate :: Int
+    , _tunnels :: S.Set Tunnel
+    } deriving (Eq, Show, Ord)
+makeLenses ''Room
+
+type Cave = M.Map RoomID Room
+data TimedCave = TimedCave { getCave :: Cave, getTimeLimit :: Int }
+
+type CaveContext = Reader TimedCave
+
+data SingleSearchState = SingleSearchState
+    { _currentRoom :: RoomID
+    , _currentTime :: Int
+    , _sOpenValves :: S.Set RoomID
+    } deriving (Eq, Show, Ord)
+makeLenses ''SingleSearchState
+
+data DoubleSearchState = DoubleSearchState
+    { _personRoom :: RoomID
+    , _personTime :: Int
+    , _elephantRoom :: RoomID
+    , _elephantTime :: Int
+    , _dOpenValves :: S.Set RoomID
+    } deriving (Eq, Show, Ord)
+makeLenses ''DoubleSearchState
+
+data Agendum s = 
+    Agendum { _current :: s
+            , _trail :: Q.Seq s
+            , _trailBenefit :: Int
+            , _benefit :: Int
+            } deriving (Show, Eq, Ord)
+makeLenses ''Agendum   
+
+type Agenda s = P.MaxPQueue Int (Agendum s)
+
+-- state, total flowed so far
+type ExploredStates s = S.Set (s, Int)
+
+
+class (Eq s, Ord s, Show s) => SearchState s where
+  emptySearchState :: RoomID -> s
+  currentFlow :: s -> CaveContext Int
+  timeOf :: s -> Int
+  successors :: s -> CaveContext (Q.Seq s)
+  -- estimateBenefit :: s -> Int -> CaveContext Int
+  estimateBenefit :: s -> CaveContext Int
+
+instance SearchState SingleSearchState where
+  emptySearchState startID = SingleSearchState 
+        { _currentRoom = startID
+        , _currentTime = 0
+        , _sOpenValves = S.empty 
+        }
+
+  currentFlow state =
+    do cave <- asks getCave
+       let valves = state ^. sOpenValves
+       let presentRooms = cave `M.restrictKeys` valves
+       return $ sumOf (folded . flowRate) presentRooms
+
+  timeOf state = state ^. currentTime
+
+  successors state = 
+    do isFF <- isFullFlow state
+       -- cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let here = state ^. currentRoom
+       let opened = state ^. sOpenValves
+       let now = state ^. currentTime
+       succs <- agentSuccessor now opened now here
+       let succStates = Q.fromList succs
+       if isFF || (Q.null succStates)
+       then return $ Q.singleton (state & currentTime .~ timeLimit)
+       else return succStates
+
+  estimateBenefit here =  
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeOf here)
+       cf <- currentFlow here
+       let closedValves = (cave `M.withoutKeys` (here ^. sOpenValves)) ^.. folded . flowRate
+       let sortedClosedValves = sortOn Down closedValves
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       return $ (cf * timeRemaining) + otherValveFlows
+
+
+instance SearchState DoubleSearchState where
+  emptySearchState startID = DoubleSearchState 
+      { _personRoom = startID
+      , _personTime = 0
+      , _elephantRoom = startID
+      , _elephantTime = 0
+      , _dOpenValves = S.empty 
+      }
+
+  currentFlow state =
+    do cave <- asks getCave
+       let valves = S.toList $ state ^. dOpenValves
+       return $ sum $ fmap (\v -> (cave ! v) ^. flowRate) valves
+       -- let presentRooms = cave `M.restrictKeys` valves
+       -- return $ sumOf (folded . flowRate) presentRooms
+
+  timeOf state = min (state ^. personTime) (state ^. elephantTime)
+
+  successors state = 
+    do isFF <- isFullFlow state
+       -- cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let opened = state ^. dOpenValves
+       let pNow = state ^. personTime
+       let eNow = state ^. elephantTime
+       let now = min pNow eNow
+       let pHere = state ^. personRoom
+       let eHere = state ^. elephantRoom
+       pNexts <- agentSuccessor now opened pNow pHere
+       eNexts <- agentSuccessor now opened eNow eHere
+       let nexts =  [ state & personRoom .~ (p ^. currentRoom)
+                            & personTime .~ (p ^. currentTime)
+                            & elephantRoom .~ (e ^. currentRoom)
+                            & elephantTime .~ (e ^. currentTime)
+                            & dOpenValves %~ (S.union (p ^. sOpenValves) . S.union (e ^. sOpenValves))
+                    | p <- pNexts
+                    , e <- eNexts
+                    ]
+       let dedups = if pNow == eNow && pHere == eHere
+                    then filter (\s -> (s ^. personRoom) < (s ^. elephantRoom)) nexts
+                    else nexts
+       -- let succStates = trace ("Succs: in " ++ (show state) ++ " out " ++ (show dedups)) (Q.fromList dedups)
+       let succStates = Q.fromList dedups
+       if isFF || (Q.null succStates)
+       then return $ Q.singleton (state & personTime .~ timeLimit & elephantTime .~ timeLimit)
+       else return succStates
+
+  estimateBenefit here =  
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeOf here)
+       cf <- currentFlow here
+       let closedValves = (cave `M.withoutKeys` (here ^. dOpenValves)) ^.. folded . flowRate
+       let sortedClosedValves = fmap sum $ chunksOf 2 $  {-# SCC estSort #-} sortOn Down closedValves
+       -- let sortedClosedValves = fmap sum $ chunksOf 2 $ reverse $ sort closedValves -- no significant improvement
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       -- let otherValveFlows = timeRemaining * (sum closedValves) -- 8 minute runtime rather than 1:50
+       return $ (cf * timeRemaining) + otherValveFlows
+
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let expandedCave = successfulParse text
+      -- print cave
+      -- print $ reachableFrom cave [Tunnel "AA" 0] S.empty []
+      -- print $ compress cave
+      let cave = compress expandedCave
+      print $ part1 cave
+      print $ part2 cave
+
+-- part1 :: Cave -> Maybe (Agendum SingleSearchState)
+-- part1 cave = runReader (searchCave "AA") (TimedCave cave 30)
+
+-- part2 :: Cave -> Maybe (Agendum DoubleSearchState)
+-- part2 cave = runReader (searchCave "AA") (TimedCave cave 26)
+
+part1, part2 :: Cave -> Int
+-- part1 :: Cave -> Int
+part1 cave = maybe 0 _benefit result
+    where result = runReader (searchCave "AA") (TimedCave cave 30) :: Maybe (Agendum SingleSearchState)
+part2 cave = maybe 0 _benefit result
+    where result = runReader (searchCave "AA") (TimedCave cave 26) :: Maybe (Agendum DoubleSearchState)
+
+searchCave :: SearchState s => String -> CaveContext (Maybe (Agendum s))
+searchCave startRoom = 
+    do agenda <- initAgenda startRoom
+       aStar agenda S.empty
+
+initAgenda :: SearchState s => String -> CaveContext (Agenda s)
+initAgenda startID = 
+    do let startState = emptySearchState startID
+       b <- estimateBenefit startState 
+       return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
+
+aStar ::  SearchState s => Agenda s -> ExploredStates s -> CaveContext (Maybe (Agendum s))
+aStar agenda closed 
+    -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : foundFlow " ++ (show $ _trailBenefit $ snd $ P.findMax agenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ P.findMax agenda)) False = undefined
+    | P.null agenda = return Nothing
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            -- let beamAgenda = P.fromDescList $ P.take 10000 newAgenda -- agenda beam width
+            -- let beamAgenda = P.fromDescList $ P.take 5000 newAgenda -- agenda beam width
+            -- let beamAgenda = P.fromDescList $ P.take 1000 newAgenda -- agenda beam width
+            reachedGoal <- isGoal currentAgendum
+            -- let cl = (reached, currentAgendum ^. trailBenefit, Q.length $ currentAgendum ^. trail)
+            let cl = (reached, currentAgendum ^. trailBenefit)
+            if reachedGoal
+            then return (Just currentAgendum)
+            else if (cl `S.member` closed)
+                 then aStar (P.deleteMax agenda) closed
+                 else aStar newAgenda (S.insert cl closed)
+                 -- else aStar beamAgenda (S.insert cl closed)
+
+
+candidates :: SearchState s => Agendum s -> ExploredStates s -> CaveContext (Q.Seq (Agendum s))
+candidates agendum closed = 
+    do  let candidate = agendum ^. current
+        let previous = agendum ^. trail
+        let prevBenefit = agendum ^. trailBenefit
+        succs <- successors candidate
+        succAgs <- mapM (makeAgendum previous prevBenefit) succs
+        -- let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit, Q.length $ s ^. trail) `S.notMember` closed) succAgs
+        let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit) `S.notMember` closed) succAgs
+        return nonloops
+
+
+agentSuccessor :: Int -> S.Set RoomID -> Int -> RoomID -> CaveContext [SingleSearchState]
+agentSuccessor now opened aTime here 
+  | aTime /= now = return [SingleSearchState { _currentRoom = here, _currentTime = aTime, _sOpenValves = opened }]
+  | otherwise = 
+      do  cave <- asks getCave 
+          timeLimit <- asks getTimeLimit
+          let remaining = S.toList $ S.filter (\t -> (t ^. tunnelTo) `S.notMember` opened) ((cave ! here) ^. tunnels)
+          let moves = [ SingleSearchState 
+                            { _currentRoom = (t ^. tunnelTo)
+                            , _currentTime = now + (t ^. tunnelLength)
+                            , _sOpenValves = opened
+                            }
+                      | t <- remaining
+                      , now + (t ^. tunnelLength) <= timeLimit
+                      ]
+          let opens = if here `S.notMember` opened && (cave ! here) ^. flowRate > 0
+                      then [SingleSearchState { _currentRoom = here, _currentTime = aTime + 1, _sOpenValves = S.insert here opened }]
+                      else []
+          -- let nexts = moves ++ opens
+          let nexts = if null opens then moves else opens
+          let nexts' =  if null nexts
+                        then [ SingleSearchState 
+                                { _currentRoom = here
+                                , _currentTime = timeLimit
+                                , _sOpenValves = opened
+                                } ]
+                        else nexts
+          return nexts'
+
+makeAgendum :: SearchState s => Q.Seq s -> Int -> s -> CaveContext (Agendum s)
+makeAgendum previous prevBenefit newState = 
+    do predicted <- estimateBenefit newState --  (Q.length previous)
+       -- cf <- currentFlow newState
+       oldFlow <- lastFlow previous (timeOf newState)
+       let newTrail = previous |> newState
+       let incurred = prevBenefit + oldFlow
+       return Agendum { _current = newState
+                      , _trail = newTrail
+                      , _trailBenefit = incurred
+                      , _benefit = incurred + predicted
+                      }
+
+lastFlow :: SearchState s => Q.Seq s -> Int -> CaveContext Int
+lastFlow Q.Empty _ = return 0
+lastFlow (_ :|> previous) newTime = 
+  do cf <- currentFlow previous
+     let dt = newTime - (timeOf previous)
+     return (cf * dt)
+
+isGoal :: SearchState s => Agendum s -> CaveContext Bool
+isGoal agendum = 
+  do timeLimit <- asks getTimeLimit
+     let s = agendum ^. current
+     return $ (timeOf s) == timeLimit
+
+isFullFlow :: SearchState s => s -> CaveContext Bool
+isFullFlow state = 
+  do cave <- asks getCave
+     cf <- currentFlow state
+     let ff = sumOf (folded . flowRate) cave
+     return (cf == ff)
+
+compress :: Cave -> Cave
+compress cave = M.mapWithKey (compressRoom cave) cave
+
+compressRoom :: Cave -> RoomID -> Room -> Room
+compressRoom cave here room = room & tunnels .~ t'
+  where t' = reachableFrom cave [Tunnel here 0] S.empty S.empty
+
+reachableFrom :: Cave -> [Tunnel] -> S.Set RoomID -> S.Set Tunnel -> S.Set Tunnel
+reachableFrom _ [] _ routes = routes
+reachableFrom cave (tunnel@(Tunnel here len):boundary) found routes
+  | here `S.member` found = reachableFrom cave boundary found routes
+  | otherwise = reachableFrom cave (boundary ++ (S.toList legs)) (S.insert here found) routes'
+  where exits = (cave ! here) ^. tunnels
+        exits' = S.filter (\t -> (t ^. tunnelTo) `S.notMember` found) exits
+        legs = S.map (\t -> t & tunnelLength .~ (len + 1)) exits'
+        routes' = if (len == 0) || ((cave ! here) ^. flowRate) == 0
+                  then routes
+                  else S.insert tunnel routes
+
+
+-- Parse the input file
+
+caveP :: Parser Cave
+valveP :: Parser (RoomID, Room)
+roomP :: Parser Room
+tunnelsP :: Parser (S.Set Tunnel)
+tunnelTextP :: Parser Text
+
+caveP = M.fromList <$> valveP `sepBy` endOfLine
+valveP = (,) <$> ("Valve " *> (many1 letter)) <*> roomP
+roomP = Room <$> (" has flow rate=" *> decimal) <*> (tunnelTextP *> tunnelsP)
+    -- where roomify v ts = Room {flowRate = v, tunnels = ts }
+tunnelsP = (S.fromList . (fmap (flip Tunnel 1))) <$> (many1 letter) `sepBy` ", "
+tunnelTextP = "; tunnels lead to valves " <|> "; tunnel leads to valve "
+
+successfulParse :: Text -> Cave
+successfulParse input = 
+  case parseOnly caveP input of
+    Left  _err -> M.empty -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right cave -> cave
\ No newline at end of file
diff --git a/advent16/MainOriginal.hs b/advent16/MainOriginal.hs
new file mode 100644
index 0000000..3000671
--- /dev/null
+++ b/advent16/MainOriginal.hs
@@ -0,0 +1,275 @@
+-- Writeup at https://work.njae.me.uk/2022/12/17/advent-of-code-2022-day-16/
+
+-- import Debug.Trace
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Control.Applicative
+import qualified Data.PQueue.Prio.Max as P
+import qualified Data.Set as S
+import qualified Data.Sequence as Q
+import qualified Data.Map.Strict as M
+import Data.Map.Strict ((!))
+import Data.Sequence ((|>)) 
+import Data.List
+import Data.List.Split (chunksOf)
+import Data.Ord
+import Control.Monad.Reader
+import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+
+-- pattern Empty   <- (Q.viewl -> Q.EmptyL)  where Empty = Q.empty
+-- pattern x :< xs <- (Q.viewl -> x Q.:< xs) where (:<)  = (Q.<|) 
+-- pattern xs :> x <- (Q.viewr -> xs Q.:> x) where (:>)  = (Q.|>) 
+
+type RoomID = String
+
+data Room = Room 
+    { _flowRate :: Int
+    , _tunnels :: [RoomID]
+    } deriving (Eq, Show, Ord)
+makeLenses ''Room
+
+type Cave = M.Map RoomID Room
+data TimedCave = TimedCave { getCave :: Cave, getTimeLimit :: Int}
+
+type CaveContext = Reader TimedCave
+
+data SingleSearchState = SingleSearchState
+    { _currentRoom :: RoomID
+    , _sOpenValves :: S.Set RoomID
+    } deriving (Eq, Show, Ord)
+makeLenses ''SingleSearchState
+
+data DoubleSearchState = DoubleSearchState
+    { _personRoom :: RoomID
+    , _elephantRoom :: RoomID
+    , _dOpenValves :: S.Set RoomID
+    } deriving (Eq, Show, Ord)
+makeLenses ''DoubleSearchState
+
+data Agendum s = 
+    Agendum { _current :: s
+            , _trail :: Q.Seq s
+            , _trailBenefit :: Int
+            , _benefit :: Int
+            } deriving (Show, Eq, Ord)
+makeLenses ''Agendum   
+
+type Agenda s = P.MaxPQueue Int (Agendum s)
+
+type ExploredStates s = S.Set (s, Int, Int)
+
+
+class (Eq s, Ord s, Show s) => SearchState s where
+  emptySearchState :: RoomID -> s
+  currentFlow :: s -> CaveContext Int
+  successors :: s -> CaveContext (Q.Seq s)
+  estimateBenefit :: s -> Int -> CaveContext Int
+
+instance SearchState SingleSearchState where
+  emptySearchState startID = SingleSearchState { _currentRoom = startID, _sOpenValves = S.empty }
+
+  currentFlow state =
+    do cave <- asks getCave
+       let valves = state ^. sOpenValves
+       let presentRooms = cave `M.restrictKeys` valves
+       return $ sumOf (folded . flowRate) presentRooms
+
+  successors state = 
+    do isFF <- isFullFlow state
+       let here = state ^. currentRoom
+       let opened = state ^. sOpenValves
+       succPairs <- personSuccessor here opened
+       let succStates = 
+              [ SingleSearchState 
+                  { _currentRoom = r
+                  , _sOpenValves = o
+                  }
+              | (r, o) <- succPairs
+              ]
+       if isFF
+       then return $ Q.singleton state
+       else return $ Q.fromList succStates
+
+  estimateBenefit here timeElapsed = 
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeElapsed + 2)
+       cf <- currentFlow here
+       let closedValves = (cave `M.withoutKeys` (here ^. sOpenValves)) ^.. folded . flowRate
+       let sortedClosedValves = sortOn Down closedValves
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       return $ (cf * timeRemaining) + otherValveFlows
+
+
+instance SearchState DoubleSearchState where
+  emptySearchState startID = DoubleSearchState 
+      { _personRoom = startID
+      , _elephantRoom = startID
+      , _dOpenValves = S.empty 
+      }
+
+  currentFlow state =
+    do cave <- asks getCave
+       let valves = state ^. dOpenValves
+       let presentRooms = cave `M.restrictKeys` valves
+       return $ sumOf (folded . flowRate) presentRooms
+
+  successors state = 
+    do isFF <- isFullFlow state
+       let pHere = state ^. personRoom
+       let eHere = state ^. elephantRoom
+       let opened = state ^. dOpenValves
+       pSuccPairs <- personSuccessor pHere opened
+       eSuccPairs <- personSuccessor eHere opened
+       let succStates = 
+              [ DoubleSearchState 
+                  { _personRoom = p
+                  , _elephantRoom = e
+                  , _dOpenValves = S.union po eo
+                  }
+              | (p, po) <- pSuccPairs
+              , (e, eo) <- eSuccPairs
+              ]
+       if isFF
+       then return $ Q.singleton state
+       else return $ Q.fromList succStates
+
+  estimateBenefit here timeElapsed = 
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeElapsed + 2)
+       cf <- currentFlow here
+       let closedValves = (cave `M.withoutKeys` (here ^. dOpenValves)) ^.. folded . flowRate
+       let sortedClosedValves = fmap sum $ chunksOf 2 $ sortOn Down closedValves
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       return $ (cf * timeRemaining) + otherValveFlows
+
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let cave = successfulParse text
+      -- print cave
+      print $ part1 cave
+      print $ part2 cave
+
+-- part1 :: Cave -> Maybe (Agendum SingleSearchState)
+-- part1 cave = runReader (searchCave "AA") (TimedCave cave 30)
+
+-- part2 :: Cave -> Maybe (Agendum DoubleSearchState)
+-- part2 cave = runReader (searchCave "AA") (TimedCave cave 26)
+
+part1, part2 :: Cave -> Int
+part1 cave = maybe 0 _benefit result
+    where result = runReader (searchCave "AA") (TimedCave cave 30) :: Maybe (Agendum SingleSearchState)
+part2 cave = maybe 0 _benefit result
+    where result = runReader (searchCave "AA") (TimedCave cave 26) :: Maybe (Agendum DoubleSearchState)
+
+searchCave :: SearchState s => String -> CaveContext (Maybe (Agendum s))
+searchCave startRoom = 
+    do agenda <- initAgenda startRoom
+       aStar agenda S.empty
+
+initAgenda :: SearchState s => String -> CaveContext (Agenda s)
+initAgenda startID = 
+    do let startState = emptySearchState startID
+       b <- estimateBenefit startState 0
+       return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
+
+aStar ::  SearchState s => Agenda s -> ExploredStates s -> CaveContext (Maybe (Agendum s))
+aStar agenda closed 
+    -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : len " ++ (show $ Q.length $ _trail $ snd $ P.findMax agenda)) False = undefined
+    | P.null agenda = return Nothing
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            -- let beamAgenda = P.fromDescList $ P.take 10000 newAgenda -- agenda beam width
+            let beamAgenda = P.fromDescList $ P.take 5000 newAgenda -- agenda beam width
+            reachedGoal <- isGoal currentAgendum
+            let cl = (reached, currentAgendum ^. trailBenefit, Q.length $ currentAgendum ^. trail)
+            if reachedGoal
+            then return (Just currentAgendum)
+            else if (cl `S.member` closed)
+                 then aStar (P.deleteMax agenda) closed
+                 -- else aStar newAgenda (S.insert cl closed)
+                 else aStar beamAgenda (S.insert cl closed)
+
+
+candidates :: SearchState s => Agendum s -> ExploredStates s -> CaveContext (Q.Seq (Agendum s))
+candidates agendum closed = 
+    do  let candidate = agendum ^. current
+        let previous = agendum ^. trail
+        let prevBenefit = agendum ^. trailBenefit
+        succs <- successors candidate
+        succAgs <- mapM (makeAgendum previous prevBenefit) succs
+        let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit, Q.length $ s ^. trail) `S.notMember` closed) succAgs
+        return nonloops
+
+personSuccessor, openValveSuccessor, walkSuccessor ::  RoomID -> S.Set RoomID -> CaveContext [(RoomID, S.Set RoomID)]
+personSuccessor here opened =
+  do ovs <- openValveSuccessor here opened
+     ws <- walkSuccessor here opened
+     return (ovs ++ ws)
+
+openValveSuccessor here opened
+  | here `S.member` opened = return []
+  | otherwise = return [(here, S.insert here opened)]
+
+walkSuccessor here opened = 
+  do cave <- asks getCave
+     let neighbours = (cave ! here) ^. tunnels
+     return [(n, opened) | n <- neighbours]
+
+makeAgendum :: SearchState s => Q.Seq s -> Int -> s -> CaveContext (Agendum s)
+makeAgendum previous prevBenefit newState = 
+    do predicted <- estimateBenefit newState (Q.length previous)
+       cf <- currentFlow newState
+       let newTrail = previous |> newState
+       let incurred = prevBenefit + cf
+       return Agendum { _current = newState
+                      , _trail = newTrail
+                      , _trailBenefit = incurred
+                      , _benefit = incurred + predicted
+                      }
+
+
+isGoal :: SearchState s => Agendum s -> CaveContext Bool
+isGoal agendum = 
+  do timeLimit <- asks getTimeLimit
+     return $ Q.length (agendum ^. trail) == (timeLimit - 1)
+
+isFullFlow :: SearchState s => s -> CaveContext Bool
+isFullFlow state = 
+  do cave <- asks getCave
+     cf <- currentFlow state
+     let ff = sumOf (folded . flowRate) cave
+     return (cf == ff)
+
+
+-- Parse the input file
+
+caveP :: Parser Cave
+valveP :: Parser (RoomID, Room)
+roomP :: Parser Room
+tunnelsP :: Parser [RoomID]
+tunnelTextP :: Parser Text
+
+caveP = M.fromList <$> valveP `sepBy` endOfLine
+valveP = (,) <$> ("Valve " *> (many1 letter)) <*> roomP
+roomP = roomify <$> (" has flow rate=" *> decimal) <*> (tunnelTextP *> tunnelsP)
+    where roomify v ts = Room {_flowRate = v, _tunnels = ts }
+tunnelsP = (many1 letter) `sepBy` ", "
+tunnelTextP = "; tunnels lead to valves " <|> "; tunnel leads to valve "
+
+successfulParse :: Text -> Cave
+successfulParse input = 
+  case parseOnly caveP input of
+    Left  _err -> M.empty -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right cave -> cave
\ No newline at end of file
diff --git a/advent16/MainOriginalNoBeam.hs b/advent16/MainOriginalNoBeam.hs
new file mode 100644
index 0000000..b074d93
--- /dev/null
+++ b/advent16/MainOriginalNoBeam.hs
@@ -0,0 +1,275 @@
+-- Writeup at https://work.njae.me.uk/2022/12/17/advent-of-code-2022-day-16/
+
+-- import Debug.Trace
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Control.Applicative
+import qualified Data.PQueue.Prio.Max as P
+import qualified Data.Set as S
+import qualified Data.Sequence as Q
+import qualified Data.Map.Strict as M
+import Data.Map.Strict ((!))
+import Data.Sequence ((|>)) 
+import Data.List
+import Data.List.Split (chunksOf)
+import Data.Ord
+import Control.Monad.Reader
+import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+
+-- pattern Empty   <- (Q.viewl -> Q.EmptyL)  where Empty = Q.empty
+-- pattern x :< xs <- (Q.viewl -> x Q.:< xs) where (:<)  = (Q.<|) 
+-- pattern xs :> x <- (Q.viewr -> xs Q.:> x) where (:>)  = (Q.|>) 
+
+type RoomID = String
+
+data Room = Room 
+    { _flowRate :: Int
+    , _tunnels :: [RoomID]
+    } deriving (Eq, Show, Ord)
+makeLenses ''Room
+
+type Cave = M.Map RoomID Room
+data TimedCave = TimedCave { getCave :: Cave, getTimeLimit :: Int}
+
+type CaveContext = Reader TimedCave
+
+data SingleSearchState = SingleSearchState
+    { _currentRoom :: RoomID
+    , _sOpenValves :: S.Set RoomID
+    } deriving (Eq, Show, Ord)
+makeLenses ''SingleSearchState
+
+data DoubleSearchState = DoubleSearchState
+    { _personRoom :: RoomID
+    , _elephantRoom :: RoomID
+    , _dOpenValves :: S.Set RoomID
+    } deriving (Eq, Show, Ord)
+makeLenses ''DoubleSearchState
+
+data Agendum s = 
+    Agendum { _current :: s
+            , _trail :: Q.Seq s
+            , _trailBenefit :: Int
+            , _benefit :: Int
+            } deriving (Show, Eq, Ord)
+makeLenses ''Agendum   
+
+type Agenda s = P.MaxPQueue Int (Agendum s)
+
+type ExploredStates s = S.Set (s, Int, Int)
+
+
+class (Eq s, Ord s, Show s) => SearchState s where
+  emptySearchState :: RoomID -> s
+  currentFlow :: s -> CaveContext Int
+  successors :: s -> CaveContext (Q.Seq s)
+  estimateBenefit :: s -> Int -> CaveContext Int
+
+instance SearchState SingleSearchState where
+  emptySearchState startID = SingleSearchState { _currentRoom = startID, _sOpenValves = S.empty }
+
+  currentFlow state =
+    do cave <- asks getCave
+       let valves = state ^. sOpenValves
+       let presentRooms = cave `M.restrictKeys` valves
+       return $ sumOf (folded . flowRate) presentRooms
+
+  successors state = 
+    do isFF <- isFullFlow state
+       let here = state ^. currentRoom
+       let opened = state ^. sOpenValves
+       succPairs <- personSuccessor here opened
+       let succStates = 
+              [ SingleSearchState 
+                  { _currentRoom = r
+                  , _sOpenValves = o
+                  }
+              | (r, o) <- succPairs
+              ]
+       if isFF
+       then return $ Q.singleton state
+       else return $ Q.fromList succStates
+
+  estimateBenefit here timeElapsed = 
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeElapsed + 2)
+       cf <- currentFlow here
+       let closedValves = (cave `M.withoutKeys` (here ^. sOpenValves)) ^.. folded . flowRate
+       let sortedClosedValves = sortOn Down closedValves
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       return $ (cf * timeRemaining) + otherValveFlows
+
+
+instance SearchState DoubleSearchState where
+  emptySearchState startID = DoubleSearchState 
+      { _personRoom = startID
+      , _elephantRoom = startID
+      , _dOpenValves = S.empty 
+      }
+
+  currentFlow state =
+    do cave <- asks getCave
+       let valves = state ^. dOpenValves
+       let presentRooms = cave `M.restrictKeys` valves
+       return $ sumOf (folded . flowRate) presentRooms
+
+  successors state = 
+    do isFF <- isFullFlow state
+       let pHere = state ^. personRoom
+       let eHere = state ^. elephantRoom
+       let opened = state ^. dOpenValves
+       pSuccPairs <- personSuccessor pHere opened
+       eSuccPairs <- personSuccessor eHere opened
+       let succStates = 
+              [ DoubleSearchState 
+                  { _personRoom = p
+                  , _elephantRoom = e
+                  , _dOpenValves = S.union po eo
+                  }
+              | (p, po) <- pSuccPairs
+              , (e, eo) <- eSuccPairs
+              ]
+       if isFF
+       then return $ Q.singleton state
+       else return $ Q.fromList succStates
+
+  estimateBenefit here timeElapsed = 
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeElapsed + 2)
+       cf <- currentFlow here
+       let closedValves = (cave `M.withoutKeys` (here ^. dOpenValves)) ^.. folded . flowRate
+       let sortedClosedValves = fmap sum $ chunksOf 2 $ sortOn Down closedValves
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       return $ (cf * timeRemaining) + otherValveFlows
+
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let cave = successfulParse text
+      -- print cave
+      print $ part1 cave
+      print $ part2 cave
+
+-- part1 :: Cave -> Maybe (Agendum SingleSearchState)
+-- part1 cave = runReader (searchCave "AA") (TimedCave cave 30)
+
+-- part2 :: Cave -> Maybe (Agendum DoubleSearchState)
+-- part2 cave = runReader (searchCave "AA") (TimedCave cave 26)
+
+part1, part2 :: Cave -> Int
+part1 cave = maybe 0 _benefit result
+    where result = runReader (searchCave "AA") (TimedCave cave 30) :: Maybe (Agendum SingleSearchState)
+part2 cave = maybe 0 _benefit result
+    where result = runReader (searchCave "AA") (TimedCave cave 26) :: Maybe (Agendum DoubleSearchState)
+
+searchCave :: SearchState s => String -> CaveContext (Maybe (Agendum s))
+searchCave startRoom = 
+    do agenda <- initAgenda startRoom
+       aStar agenda S.empty
+
+initAgenda :: SearchState s => String -> CaveContext (Agenda s)
+initAgenda startID = 
+    do let startState = emptySearchState startID
+       b <- estimateBenefit startState 0
+       return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
+
+aStar ::  SearchState s => Agenda s -> ExploredStates s -> CaveContext (Maybe (Agendum s))
+aStar agenda closed 
+    -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : len " ++ (show $ Q.length $ _trail $ snd $ P.findMax agenda)) False = undefined
+    | P.null agenda = return Nothing
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            -- let beamAgenda = P.fromDescList $ P.take 10000 newAgenda -- agenda beam width
+            -- let beamAgenda = P.fromDescList $ P.take 5000 newAgenda -- agenda beam width
+            reachedGoal <- isGoal currentAgendum
+            let cl = (reached, currentAgendum ^. trailBenefit, Q.length $ currentAgendum ^. trail)
+            if reachedGoal
+            then return (Just currentAgendum)
+            else if (cl `S.member` closed)
+                 then aStar (P.deleteMax agenda) closed
+                 else aStar newAgenda (S.insert cl closed)
+                 -- else aStar beamAgenda (S.insert cl closed)
+
+
+candidates :: SearchState s => Agendum s -> ExploredStates s -> CaveContext (Q.Seq (Agendum s))
+candidates agendum closed = 
+    do  let candidate = agendum ^. current
+        let previous = agendum ^. trail
+        let prevBenefit = agendum ^. trailBenefit
+        succs <- successors candidate
+        succAgs <- mapM (makeAgendum previous prevBenefit) succs
+        let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit, Q.length $ s ^. trail) `S.notMember` closed) succAgs
+        return nonloops
+
+personSuccessor, openValveSuccessor, walkSuccessor ::  RoomID -> S.Set RoomID -> CaveContext [(RoomID, S.Set RoomID)]
+personSuccessor here opened =
+  do ovs <- openValveSuccessor here opened
+     ws <- walkSuccessor here opened
+     return (ovs ++ ws)
+
+openValveSuccessor here opened
+  | here `S.member` opened = return []
+  | otherwise = return [(here, S.insert here opened)]
+
+walkSuccessor here opened = 
+  do cave <- asks getCave
+     let neighbours = (cave ! here) ^. tunnels
+     return [(n, opened) | n <- neighbours]
+
+makeAgendum :: SearchState s => Q.Seq s -> Int -> s -> CaveContext (Agendum s)
+makeAgendum previous prevBenefit newState = 
+    do predicted <- estimateBenefit newState (Q.length previous)
+       cf <- currentFlow newState
+       let newTrail = previous |> newState
+       let incurred = prevBenefit + cf
+       return Agendum { _current = newState
+                      , _trail = newTrail
+                      , _trailBenefit = incurred
+                      , _benefit = incurred + predicted
+                      }
+
+
+isGoal :: SearchState s => Agendum s -> CaveContext Bool
+isGoal agendum = 
+  do timeLimit <- asks getTimeLimit
+     return $ Q.length (agendum ^. trail) == (timeLimit - 1)
+
+isFullFlow :: SearchState s => s -> CaveContext Bool
+isFullFlow state = 
+  do cave <- asks getCave
+     cf <- currentFlow state
+     let ff = sumOf (folded . flowRate) cave
+     return (cf == ff)
+
+
+-- Parse the input file
+
+caveP :: Parser Cave
+valveP :: Parser (RoomID, Room)
+roomP :: Parser Room
+tunnelsP :: Parser [RoomID]
+tunnelTextP :: Parser Text
+
+caveP = M.fromList <$> valveP `sepBy` endOfLine
+valveP = (,) <$> ("Valve " *> (many1 letter)) <*> roomP
+roomP = roomify <$> (" has flow rate=" *> decimal) <*> (tunnelTextP *> tunnelsP)
+    where roomify v ts = Room {_flowRate = v, _tunnels = ts }
+tunnelsP = (many1 letter) `sepBy` ", "
+tunnelTextP = "; tunnels lead to valves " <|> "; tunnel leads to valve "
+
+successfulParse :: Text -> Cave
+successfulParse input = 
+  case parseOnly caveP input of
+    Left  _err -> M.empty -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right cave -> cave
\ No newline at end of file
diff --git a/advent16/MainSPar.hs b/advent16/MainSPar.hs
new file mode 100644
index 0000000..d3be5ec
--- /dev/null
+++ b/advent16/MainSPar.hs
@@ -0,0 +1,323 @@
+-- Writeup at https://work.njae.me.uk/2022/12/17/advent-of-code-2022-day-16/
+
+import Debug.Trace
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Control.Applicative
+import qualified Data.PQueue.Prio.Max as P
+import qualified Data.Set as S
+import qualified Data.Sequence as Q
+import qualified Data.Map.Strict as M
+import Data.Map.Strict ((!))
+-- import Data.Sequence ((|>), Seq((:|>)), ViewR ((:>))) 
+import Data.Sequence ( (|>), Seq((:|>)) )
+import Data.List
+import Data.List.Split (chunksOf)
+import Data.Ord
+import Control.Monad.Reader
+import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+import Control.Parallel.Strategies
+
+
+type RoomID = String
+
+data Tunnel = Tunnel { _tunnelTo :: RoomID, _tunnelLength :: Int}
+    deriving (Eq, Show, Ord)
+makeLenses ''Tunnel
+
+data Room = Room 
+    { _flowRate :: Int
+    , _tunnels :: S.Set Tunnel
+    } deriving (Eq, Show, Ord)
+makeLenses ''Room
+
+type Cave = M.Map RoomID Room
+data TimedCave = TimedCave { getCave :: Cave, getTimeLimit :: Int , getSortedRooms :: [RoomID]}
+
+type CaveContext = Reader TimedCave
+
+data SearchState = SearchState
+    { _currentRoom :: RoomID
+    , _currentTime :: Int
+    , _openValves :: S.Set RoomID
+    } deriving (Eq, Show, Ord)
+makeLenses ''SearchState
+
+data Agendum = 
+    Agendum { _current :: SearchState
+            , _trail :: Q.Seq SearchState
+            , _trailBenefit :: Int
+            , _benefit :: Int
+            } deriving (Show, Eq, Ord)
+makeLenses ''Agendum   
+
+type Agenda = P.MaxPQueue Int Agendum
+
+-- state, total flowed so far
+type ExploredStates = S.Set (SearchState, Int)
+
+type PartSolutions = M.Map (S.Set RoomID) Int
+
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let expandedCave = successfulParse text
+      -- print cave
+      -- print $ reachableFrom cave [Tunnel "AA" 0] S.empty []
+      -- print $ compress cave
+      -- putStrLn $ dotify expandedCave
+      let cave = compress expandedCave
+      print $ part1 cave
+      print $ part2 cave
+
+-- dotify cave = "graph G {\n" ++ (unlines $ concat $ M.elems $ M.mapWithKey showCRoom cave) ++ "\n}\n"
+--   where showCRoom roomID room = filter (not . null) ((showCRoomShape roomID room) : (showCRoomLinks roomID room))
+
+-- showCRoomShape roomID room 
+--   | room ^. flowRate > 0 = roomID ++ " [fillcolor=grey label=\"" ++ roomID ++ ": " ++ (show $ room ^. flowRate) ++ "\"];"
+--   | otherwise = ""
+
+-- showCRoomLinks roomID room = [roomID ++ " -- " ++ (t ^. tunnelTo) ++ ";" | t <- S.toList $ room ^. tunnels, (t ^. tunnelTo) > roomID ]
+
+part1, part2 :: Cave -> Int
+-- part1 :: Cave -> Int
+part1 cave = runSearch 30 cave
+part2 cave = maximum (fmap maximum chunkSolns `using` parList rdeepseq)
+  where rawSolutions = runSearchAll 26 cave
+        solutionList = M.toList rawSolutions
+        combinations = [ fp + fe 
+                       | (p, fp) <- solutionList
+                       , (e, fe) <- solutionList
+                       , p < e
+                       , S.disjoint p e
+                       ]
+        chunkSolns = chunksOf 10000 combinations
+
+includeAgendum :: PartSolutions -> Agendum -> CaveContext PartSolutions
+includeAgendum results agendum =
+  do cf <- currentFlow (agendum ^. current)
+     timeLimit <- asks getTimeLimit
+     let timeLeft = timeLimit - timeOf (agendum ^. current)
+     let remainingFlow = cf * timeLeft
+     let totalFlow = remainingFlow + agendum ^. trailBenefit
+     let visitedSet = agendum ^. current . openValves
+     let currentBest = M.findWithDefault 0 visitedSet results
+     if totalFlow > currentBest
+     then return (M.insert visitedSet totalFlow results)
+     else return results
+
+runSearch :: Int -> Cave -> Int
+runSearch timeLimit cave = maybe 0 _benefit result
+    where result = runReader (searchCave "AA") (TimedCave cave timeLimit sortedRooms)
+          sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys $ M.filter (\r -> r ^. flowRate > 0) cave
+
+runSearchAll :: Int -> Cave -> PartSolutions
+runSearchAll timeLimit cave = result
+    where result = runReader (searchCaveAll "AA") (TimedCave cave timeLimit sortedRooms)
+          sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys $ M.filter (\r -> r ^. flowRate > 0) cave
+
+
+searchCave :: String -> CaveContext (Maybe Agendum)
+searchCave startRoom = 
+    do agenda <- initAgenda startRoom
+       aStar agenda S.empty
+
+searchCaveAll :: String -> CaveContext PartSolutions
+searchCaveAll startRoom = 
+    do agenda <- initAgenda startRoom
+       allSolutions agenda S.empty M.empty
+
+initAgenda :: String -> CaveContext Agenda
+initAgenda startID = 
+    do let startState = emptySearchState startID
+       b <- estimateBenefit startState 
+       return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
+
+aStar ::  Agenda -> ExploredStates -> CaveContext (Maybe Agendum)
+aStar agenda closed 
+    -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : foundFlow " ++ (show $ _trailBenefit $ snd $ P.findMax agenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : foundFlow " ++ (show $ _trailBenefit $ snd $ P.findMax agenda) ++ " : trail " ++ (show $ _trail $ snd $ P.findMax agenda) ++ " : closed " ++ (show closed)) False = undefined
+    -- | trace ("Peeping " ++ (show $ P.findMax agenda)) False = undefined
+    | P.null agenda = return Nothing
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            reachedGoal <- isGoal currentAgendum
+            let cl = (reached, currentAgendum ^. trailBenefit)
+            if reachedGoal
+            then return (Just currentAgendum)
+            else if (cl `S.member` closed)
+                 then aStar (P.deleteMax agenda) closed
+                 else aStar newAgenda (S.insert cl closed)
+
+allSolutions ::  Agenda -> ExploredStates -> PartSolutions -> CaveContext PartSolutions
+allSolutions agenda closed foundSolutions
+    | P.null agenda = return foundSolutions
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            reachedGoal <- isGoal currentAgendum
+            let cl = (reached, currentAgendum ^. trailBenefit)
+            newFoundSolutions <- includeAgendum foundSolutions currentAgendum
+            if reachedGoal
+            then allSolutions (P.deleteMax agenda) closed newFoundSolutions 
+            else if (cl `S.member` closed)
+                 then allSolutions (P.deleteMax agenda) closed foundSolutions 
+                 else allSolutions newAgenda (S.insert cl closed) newFoundSolutions 
+
+
+candidates :: Agendum -> ExploredStates -> CaveContext (Q.Seq Agendum)
+candidates agendum closed = 
+    do  let candidate = agendum ^. current
+        let previous = agendum ^. trail
+        let prevBenefit = agendum ^. trailBenefit
+        succs <- successors candidate
+        succAgs <- mapM (makeAgendum previous prevBenefit) succs
+        let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit) `S.notMember` closed) succAgs
+        return nonloops
+
+emptySearchState :: RoomID -> SearchState
+emptySearchState startID = SearchState 
+    { _currentRoom = startID
+    , _currentTime = 0
+    , _openValves = S.empty 
+    }
+
+currentFlow :: SearchState -> CaveContext Int
+currentFlow state =
+    do cave <- asks getCave
+       let valves = state ^. openValves
+       let presentRooms = cave `M.restrictKeys` valves
+       return $ sumOf (folded . flowRate) presentRooms
+
+timeOf :: SearchState -> Int
+timeOf state = state ^. currentTime
+
+successors :: SearchState -> CaveContext (Q.Seq SearchState)
+successors state = 
+    do isFF <- isFullFlow state
+       cave <- asks getCave 
+       timeLimit <- asks getTimeLimit
+       let here = state ^. currentRoom
+       let opened = state ^. openValves
+       let now = state ^. currentTime
+       let remaining = S.toList $ S.filter (\t -> (t ^. tunnelTo) `S.notMember` opened) ((cave ! here) ^. tunnels)
+       let moves = [ SearchState 
+                         { _currentRoom = (t ^. tunnelTo)
+                         , _currentTime = now + (t ^. tunnelLength)
+                         , _openValves = opened
+                         }
+                   | t <- remaining
+                   , now + (t ^. tunnelLength) <= timeLimit
+                   ]
+       let opens = if here `S.notMember` opened && (cave ! here) ^. flowRate > 0 && now < timeLimit
+                   then [SearchState { _currentRoom = here, _currentTime = now + 1, _openValves = S.insert here opened }]
+                   else []
+       let nexts = if null opens then moves else opens
+       let nexts' =  if null nexts
+                     then [ SearchState 
+                             { _currentRoom = here
+                             , _currentTime = timeLimit
+                             , _openValves = opened
+                             } ]
+                     else nexts
+       let succs = Q.fromList nexts'
+       if isFF || (Q.null succs)
+          then return $ Q.singleton (state & currentTime .~ timeLimit)
+          else return succs
+
+
+estimateBenefit :: SearchState -> CaveContext Int
+estimateBenefit here =  
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeOf here)
+       cf <- currentFlow here
+       sortedValves <- asks getSortedRooms
+       let opened = here ^. openValves
+       let sortedClosedValves = [(cave ! v) ^. flowRate | v <- sortedValves, v `S.notMember` opened]
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       return $ (cf * timeRemaining) + otherValveFlows
+
+makeAgendum :: Q.Seq SearchState -> Int -> SearchState -> CaveContext Agendum
+makeAgendum previous prevBenefit newState = 
+    do predicted <- estimateBenefit newState --  (Q.length previous)
+       -- cf <- currentFlow newState
+       oldFlow <- lastFlow previous (timeOf newState)
+       let newTrail = previous |> newState
+       let incurred = prevBenefit + oldFlow
+       return Agendum { _current = newState
+                      , _trail = newTrail
+                      , _trailBenefit = incurred
+                      , _benefit = incurred + predicted
+                      }
+
+lastFlow :: Q.Seq SearchState -> Int -> CaveContext Int
+lastFlow Q.Empty _ = return 0
+lastFlow (_ :|> previous) newTime = 
+  do cf <- currentFlow previous
+     let dt = newTime - (timeOf previous)
+     return (cf * dt)
+
+isGoal :: Agendum -> CaveContext Bool
+isGoal agendum = 
+  do timeLimit <- asks getTimeLimit
+     let s = agendum ^. current
+     return $ (timeOf s) == timeLimit
+
+isFullFlow :: SearchState -> CaveContext Bool
+isFullFlow state = 
+  do cave <- asks getCave
+     cf <- currentFlow state
+     let ff = sumOf (folded . flowRate) cave
+     return (cf == ff)
+
+compress :: Cave -> Cave
+compress cave = M.mapWithKey (compressRoom cave) cave
+
+compressRoom :: Cave -> RoomID -> Room -> Room
+compressRoom cave here room = room & tunnels .~ t'
+  where t' = reachableFrom cave [Tunnel here 0] S.empty S.empty
+
+reachableFrom :: Cave -> [Tunnel] -> S.Set RoomID -> S.Set Tunnel -> S.Set Tunnel
+reachableFrom _ [] _ routes = routes
+reachableFrom cave (tunnel@(Tunnel here len):boundary) found routes
+  | here `S.member` found = reachableFrom cave boundary found routes
+  | otherwise = reachableFrom cave (boundary ++ (S.toList legs)) (S.insert here found) routes'
+  where exits = (cave ! here) ^. tunnels
+        exits' = S.filter (\t -> (t ^. tunnelTo) `S.notMember` found) exits
+        legs = S.map (\t -> t & tunnelLength .~ (len + 1)) exits'
+        routes' = if (len == 0) || ((cave ! here) ^. flowRate) == 0
+                  then routes
+                  else S.insert tunnel routes
+
+-- Parse the input file
+
+caveP :: Parser Cave
+valveP :: Parser (RoomID, Room)
+roomP :: Parser Room
+tunnelsP :: Parser (S.Set Tunnel)
+tunnelTextP :: Parser Text
+
+caveP = M.fromList <$> valveP `sepBy` endOfLine
+valveP = (,) <$> ("Valve " *> (many1 letter)) <*> roomP
+roomP = Room <$> (" has flow rate=" *> decimal) <*> (tunnelTextP *> tunnelsP)
+    -- where roomify v ts = Room {flowRate = v, tunnels = ts }
+tunnelsP = (S.fromList . (fmap (flip Tunnel 1))) <$> (many1 letter) `sepBy` ", "
+tunnelTextP = "; tunnels lead to valves " <|> "; tunnel leads to valve "
+
+successfulParse :: Text -> Cave
+successfulParse input = 
+  case parseOnly caveP input of
+    Left  _err -> M.empty -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right cave -> cave
\ No newline at end of file
diff --git a/advent16/MainSubsets.hs b/advent16/MainSubsets.hs
new file mode 100644
index 0000000..b927188
--- /dev/null
+++ b/advent16/MainSubsets.hs
@@ -0,0 +1,309 @@
+-- Writeup at https://work.njae.me.uk/2022/12/17/advent-of-code-2022-day-16/
+
+import Debug.Trace
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Control.Applicative
+import qualified Data.PQueue.Prio.Max as P
+import qualified Data.Set as S
+import qualified Data.Sequence as Q
+import qualified Data.Map.Strict as M
+import Data.Map.Strict ((!))
+-- import Data.Sequence ((|>), Seq((:|>)), ViewR ((:>))) 
+import Data.Sequence ( (|>), Seq((:|>)) )
+import Data.List
+-- import Data.List.Split (chunksOf)
+import Data.Ord
+import Control.Monad.Reader
+import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+
+type RoomID = String
+
+data Tunnel = Tunnel { _tunnelTo :: RoomID, _tunnelLength :: Int}
+    deriving (Eq, Show, Ord)
+makeLenses ''Tunnel
+
+data Room = Room 
+    { _flowRate :: Int
+    , _tunnels :: S.Set Tunnel
+    } deriving (Eq, Show, Ord)
+makeLenses ''Room
+
+type Cave = M.Map RoomID Room
+data TimedCave = TimedCave { getCave :: Cave, getTimeLimit :: Int , getSortedRooms :: [RoomID]}
+
+type CaveContext = Reader TimedCave
+
+data SearchState = SearchState
+    { _currentRoom :: RoomID
+    , _currentTime :: Int
+    , _openValves :: S.Set RoomID
+    } deriving (Eq, Show, Ord)
+makeLenses ''SearchState
+
+data Agendum = 
+    Agendum { _current :: SearchState
+            , _trail :: Q.Seq SearchState
+            , _trailBenefit :: Int
+            , _benefit :: Int
+            } deriving (Show, Eq, Ord)
+makeLenses ''Agendum   
+
+type Agenda = P.MaxPQueue Int Agendum
+
+-- state, total flowed so far
+type ExploredStates = S.Set (SearchState, Int)
+
+type PartSolutions = M.Map (S.Set RoomID) Int
+
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let expandedCave = successfulParse text
+      -- print cave
+      -- print $ reachableFrom cave [Tunnel "AA" 0] S.empty []
+      -- print $ compress cave
+      let cave = compress expandedCave
+      print $ part1 cave
+      print $ part2 cave
+
+part1, part2 :: Cave -> Int
+-- part1 :: Cave -> Int
+part1 cave = runSearch 30 cave
+part2 cave = maximum combinations 
+  where rawSolutions = runSearchAll 26 cave
+        solutionList = M.toList rawSolutions
+        combinations = [ (f1 + f2) 
+                       | (p, f1) <- solutionList
+                       , (e, f2) <- solutionList
+                       , p < e
+                       , S.disjoint p e
+                       ]
+
+includeAgendum :: PartSolutions -> Agendum -> CaveContext PartSolutions
+includeAgendum results agendum =
+  do cf <- currentFlow (agendum ^. current)
+     timeLimit <- asks getTimeLimit
+     let timeLeft = timeLimit - timeOf (agendum ^. current)
+     let remainingFlow = cf * timeLeft
+     let totalFlow = remainingFlow + agendum ^. trailBenefit
+     let visitedSet = agendum ^. current . openValves
+     let currentBest = M.findWithDefault 0 visitedSet results
+     if totalFlow > currentBest
+     then return (M.insert visitedSet totalFlow results)
+     else return results
+
+runSearch :: Int -> Cave -> Int
+runSearch timeLimit cave = maybe 0 _benefit result
+    where result = runReader (searchCave "AA") (TimedCave cave timeLimit sortedRooms)
+          sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys $ M.filter (\r -> r ^. flowRate > 0) cave
+
+runSearchAll :: Int -> Cave -> PartSolutions
+runSearchAll timeLimit cave = result
+    where result = runReader (searchCaveAll "AA") (TimedCave cave timeLimit sortedRooms)
+          sortedRooms = sortOn (\r -> Down $ (cave ! r) ^. flowRate ) $ M.keys $ M.filter (\r -> r ^. flowRate > 0) cave
+
+
+searchCave :: String -> CaveContext (Maybe Agendum)
+searchCave startRoom = 
+    do agenda <- initAgenda startRoom
+       aStar agenda S.empty
+
+searchCaveAll :: String -> CaveContext PartSolutions
+searchCaveAll startRoom = 
+    do agenda <- initAgenda startRoom
+       allSolutions agenda S.empty M.empty
+
+initAgenda :: String -> CaveContext Agenda
+initAgenda startID = 
+    do let startState = emptySearchState startID
+       b <- estimateBenefit startState 
+       return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
+
+aStar ::  Agenda -> ExploredStates -> CaveContext (Maybe Agendum)
+aStar agenda closed 
+    -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : foundFlow " ++ (show $ _trailBenefit $ snd $ P.findMax agenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " : foundFlow " ++ (show $ _trailBenefit $ snd $ P.findMax agenda) ++ " : trail " ++ (show $ _trail $ snd $ P.findMax agenda) ++ " : closed " ++ (show closed)) False = undefined
+    -- | trace ("Peeping " ++ (show $ P.findMax agenda)) False = undefined
+    | P.null agenda = return Nothing
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            reachedGoal <- isGoal currentAgendum
+            let cl = (reached, currentAgendum ^. trailBenefit)
+            if reachedGoal
+            then return (Just currentAgendum)
+            else if (cl `S.member` closed)
+                 then aStar (P.deleteMax agenda) closed
+                 else aStar newAgenda (S.insert cl closed)
+
+allSolutions ::  Agenda -> ExploredStates -> PartSolutions -> CaveContext PartSolutions
+allSolutions agenda closed foundSolutions
+    | P.null agenda = return foundSolutions
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            reachedGoal <- isGoal currentAgendum
+            let cl = (reached, currentAgendum ^. trailBenefit)
+            newFoundSolutions <- includeAgendum foundSolutions currentAgendum
+            if reachedGoal
+            then allSolutions (P.deleteMax agenda) closed newFoundSolutions 
+            else if (cl `S.member` closed)
+                 then allSolutions (P.deleteMax agenda) closed foundSolutions 
+                 else allSolutions newAgenda (S.insert cl closed) newFoundSolutions 
+
+
+candidates :: Agendum -> ExploredStates -> CaveContext (Q.Seq Agendum)
+candidates agendum closed = 
+    do  let candidate = agendum ^. current
+        let previous = agendum ^. trail
+        let prevBenefit = agendum ^. trailBenefit
+        succs <- successors candidate
+        succAgs <- mapM (makeAgendum previous prevBenefit) succs
+        let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit) `S.notMember` closed) succAgs
+        return nonloops
+
+emptySearchState :: RoomID -> SearchState
+emptySearchState startID = SearchState 
+    { _currentRoom = startID
+    , _currentTime = 0
+    , _openValves = S.empty 
+    }
+
+currentFlow :: SearchState -> CaveContext Int
+currentFlow state =
+    do cave <- asks getCave
+       let valves = state ^. openValves
+       let presentRooms = cave `M.restrictKeys` valves
+       return $ sumOf (folded . flowRate) presentRooms
+
+timeOf :: SearchState -> Int
+timeOf state = state ^. currentTime
+
+successors :: SearchState -> CaveContext (Q.Seq SearchState)
+successors state = 
+    do isFF <- isFullFlow state
+       cave <- asks getCave 
+       timeLimit <- asks getTimeLimit
+       let here = state ^. currentRoom
+       let opened = state ^. openValves
+       let now = state ^. currentTime
+       let remaining = S.toList $ S.filter (\t -> (t ^. tunnelTo) `S.notMember` opened) ((cave ! here) ^. tunnels)
+       let moves = [ SearchState 
+                         { _currentRoom = (t ^. tunnelTo)
+                         , _currentTime = now + (t ^. tunnelLength)
+                         , _openValves = opened
+                         }
+                   | t <- remaining
+                   , now + (t ^. tunnelLength) <= timeLimit
+                   ]
+       let opens = if here `S.notMember` opened && (cave ! here) ^. flowRate > 0 && now < timeLimit
+                   then [SearchState { _currentRoom = here, _currentTime = now + 1, _openValves = S.insert here opened }]
+                   else []
+       let nexts = if null opens then moves else opens
+       let nexts' =  if null nexts
+                     then [ SearchState 
+                             { _currentRoom = here
+                             , _currentTime = timeLimit
+                             , _openValves = opened
+                             } ]
+                     else nexts
+       let succs = Q.fromList nexts'
+       if isFF || (Q.null succs)
+          then return $ Q.singleton (state & currentTime .~ timeLimit)
+          else return succs
+
+estimateBenefit :: SearchState -> CaveContext Int
+estimateBenefit here =  
+    do cave <- asks getCave
+       timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeOf here)
+       cf <- currentFlow here
+       sortedValves <- asks getSortedRooms
+       let opened = here ^. openValves
+       let sortedClosedValves = [(cave ! v) ^. flowRate | v <- sortedValves, v `S.notMember` opened]
+       let otherValveFlows = sum $ zipWith (*) [timeRemaining, (timeRemaining - 2) .. 0] sortedClosedValves
+       return $ (cf * timeRemaining) + otherValveFlows
+
+makeAgendum :: Q.Seq SearchState -> Int -> SearchState -> CaveContext Agendum
+makeAgendum previous prevBenefit newState = 
+    do predicted <- estimateBenefit newState --  (Q.length previous)
+       -- cf <- currentFlow newState
+       oldFlow <- lastFlow previous (timeOf newState)
+       let newTrail = previous |> newState
+       let incurred = prevBenefit + oldFlow
+       return Agendum { _current = newState
+                      , _trail = newTrail
+                      , _trailBenefit = incurred
+                      , _benefit = incurred + predicted
+                      }
+
+lastFlow :: Q.Seq SearchState -> Int -> CaveContext Int
+lastFlow Q.Empty _ = return 0
+lastFlow (_ :|> previous) newTime = 
+  do cf <- currentFlow previous
+     let dt = newTime - (timeOf previous)
+     return (cf * dt)
+
+isGoal :: Agendum -> CaveContext Bool
+isGoal agendum = 
+  do timeLimit <- asks getTimeLimit
+     let s = agendum ^. current
+     return $ (timeOf s) == timeLimit
+
+isFullFlow :: SearchState -> CaveContext Bool
+isFullFlow state = 
+  do cave <- asks getCave
+     cf <- currentFlow state
+     let ff = sumOf (folded . flowRate) cave
+     return (cf == ff)
+
+compress :: Cave -> Cave
+compress cave = M.mapWithKey (compressRoom cave) cave
+
+compressRoom :: Cave -> RoomID -> Room -> Room
+compressRoom cave here room = room & tunnels .~ t'
+  where t' = reachableFrom cave [Tunnel here 0] S.empty S.empty
+
+reachableFrom :: Cave -> [Tunnel] -> S.Set RoomID -> S.Set Tunnel -> S.Set Tunnel
+reachableFrom _ [] _ routes = routes
+reachableFrom cave (tunnel@(Tunnel here len):boundary) found routes
+  | here `S.member` found = reachableFrom cave boundary found routes
+  | otherwise = reachableFrom cave (boundary ++ (S.toList legs)) (S.insert here found) routes'
+  where exits = (cave ! here) ^. tunnels
+        exits' = S.filter (\t -> (t ^. tunnelTo) `S.notMember` found) exits
+        legs = S.map (\t -> t & tunnelLength .~ (len + 1)) exits'
+        routes' = if (len == 0) || ((cave ! here) ^. flowRate) == 0
+                  then routes
+                  else S.insert tunnel routes
+
+-- Parse the input file
+
+caveP :: Parser Cave
+valveP :: Parser (RoomID, Room)
+roomP :: Parser Room
+tunnelsP :: Parser (S.Set Tunnel)
+tunnelTextP :: Parser Text
+
+caveP = M.fromList <$> valveP `sepBy` endOfLine
+valveP = (,) <$> ("Valve " *> (many1 letter)) <*> roomP
+roomP = Room <$> (" has flow rate=" *> decimal) <*> (tunnelTextP *> tunnelsP)
+    -- where roomify v ts = Room {flowRate = v, tunnels = ts }
+tunnelsP = (S.fromList . (fmap (flip Tunnel 1))) <$> (many1 letter) `sepBy` ", "
+tunnelTextP = "; tunnels lead to valves " <|> "; tunnel leads to valve "
+
+successfulParse :: Text -> Cave
+successfulParse input = 
+  case parseOnly caveP input of
+    Left  _err -> M.empty -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right cave -> cave
\ No newline at end of file
diff --git a/advent16/a16-solution.dot.png b/advent16/a16-solution.dot.png
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zQ}Zl6<If}ukyoL}OI6d<3zUMcqp`F%C~P|$&7n~|A<rg17q)$oCCyHJyTy&cZ^U1m
Nmyj1vI(zBP{|D+_yRZNN

literal 0
HcmV?d00001

diff --git a/advent16/a16.dot b/advent16/a16.dot
new file mode 100644
index 0000000..295f779
--- /dev/null
+++ b/advent16/a16.dot
@@ -0,0 +1,94 @@
+graph G {
+AA -- DZ;
+AA -- EI;
+AA -- RO;
+AA -- VJ;
+AA -- VQ;
+AD -- BK;
+AD -- RC;
+AJ -- JW;
+AJ -- MK;
+AJ -- QX;
+AJ -- TR;
+AJ [style = filled, color = grey, label="AJ: 12"];
+AV -- AX;
+AV -- PI;
+AX -- HP;
+AX -- TG;
+AX [style = filled, color = grey, label="AX: 5"];
+AZ -- GJ;
+AZ -- ZR;
+BK -- PI;
+CG -- FF;
+CG -- QX;
+CG -- RV;
+CG -- SU;
+CG -- TI;
+CG [style = filled, color = grey, label="CG: 10"];
+DZ -- VO;
+EI -- RV;
+EQ -- RC;
+EQ -- YJ;
+ER -- QO;
+ER -- ZK;
+ET -- HP;
+ET -- ZR;
+EU -- GJ;
+EU -- PI;
+FF -- ZL;
+FR -- TF;
+FR -- ZK;
+FR [style = filled, color = grey, label="FR: 22"];
+FV -- KV;
+FV -- TX;
+FV [style = filled, color = grey, label="FV: 23"];
+GJ -- TG;
+GJ -- YJ;
+GJ -- ZJ;
+GJ [style = filled, color = grey, label="GJ: 21"];
+GQ -- MF;
+GQ -- VD;
+HF -- JI;
+HF -- LM;
+JI -- VD;
+JW -- YI;
+KU -- TC;
+KU -- TF;
+KU -- VY;
+KU -- XL;
+KU -- YW;
+KU [style = filled, color = grey, label="KU: 9"];
+KV -- OF;
+KX -- PI;
+KX -- ZR;
+LM -- SU;
+LM -- UJ;
+LM -- VY;
+LM -- YI;
+LM [style = filled, color = grey, label="LM: 3"];
+LN -- TI;
+LN -- ZR;
+MF -- QO;
+MK -- YW;
+OF [style = filled, color = grey, label="OF: 19"];
+PI -- VQ;
+PI [style = filled, color = grey, label="PI: 4"];
+QO [style = filled, color = grey, label="QO: 24"];
+RC -- WR;
+RC [style = filled, color = grey, label="RC: 18"];
+RO -- TC;
+TR -- VD;
+TX -- WR;
+UJ -- VJ;
+VD -- VO;
+VD -- VS;
+VD [style = filled, color = grey, label="VD: 17"];
+VS -- XL;
+WI -- XO;
+WI -- ZJ;
+WI -- ZL;
+WI [style = filled, color = grey, label="WI: 13"];
+XO -- ZR;
+ZR [style = filled, color = grey, label="ZR: 11"];
+
+}
-- 
2.34.1


From bba4f9d2ff41717e66141cd75799f7384cf4235a Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Sat, 22 Jul 2023 10:49:55 +0100
Subject: [PATCH 15/16] Updated blog link in comments

---
 advent16/Main.hs        | 1 +
 advent16/MainSPar.hs    | 1 +
 advent16/MainSubsets.hs | 1 +
 3 files changed, 3 insertions(+)

diff --git a/advent16/Main.hs b/advent16/Main.hs
index 30d0843..d0540b4 100644
--- a/advent16/Main.hs
+++ b/advent16/Main.hs
@@ -1,4 +1,5 @@
 -- Writeup at https://work.njae.me.uk/2022/12/17/advent-of-code-2022-day-16/
+-- Follow up at https://work.njae.me.uk/2023/07/21/optimising-haskell-example-3/
 
 import Debug.Trace
 
diff --git a/advent16/MainSPar.hs b/advent16/MainSPar.hs
index d3be5ec..5b68b29 100644
--- a/advent16/MainSPar.hs
+++ b/advent16/MainSPar.hs
@@ -1,4 +1,5 @@
 -- Writeup at https://work.njae.me.uk/2022/12/17/advent-of-code-2022-day-16/
+-- Follow up at https://work.njae.me.uk/2023/07/21/optimising-haskell-example-3/
 
 import Debug.Trace
 
diff --git a/advent16/MainSubsets.hs b/advent16/MainSubsets.hs
index b927188..47d8627 100644
--- a/advent16/MainSubsets.hs
+++ b/advent16/MainSubsets.hs
@@ -1,4 +1,5 @@
 -- Writeup at https://work.njae.me.uk/2022/12/17/advent-of-code-2022-day-16/
+-- Follow up at https://work.njae.me.uk/2023/07/21/optimising-haskell-example-3/
 
 import Debug.Trace
 
-- 
2.34.1


From 9d0577cc4c0de3b9904ed8e5fceea6e33f149f75 Mon Sep 17 00:00:00 2001
From: Neil Smith <NeilNjae@users.noreply.github.com>
Date: Mon, 24 Jul 2023 15:57:34 +0100
Subject: [PATCH 16/16] Optimised day 19

---
 advent-of-code22.cabal         |  31 ++++
 advent19/Main.hs               | 242 ++++++++++++++++++-------------
 advent19/MainExplicitClosed.hs | 258 +++++++++++++++++++++++++++++++++
 advent19/MainOriginal.hs       | 224 ++++++++++++++++++++++++++++
 advent19/MainSingle.hs         | 224 ++++++++++++++++++++++++++++
 5 files changed, 878 insertions(+), 101 deletions(-)
 create mode 100644 advent19/MainExplicitClosed.hs
 create mode 100644 advent19/MainOriginal.hs
 create mode 100644 advent19/MainSingle.hs

diff --git a/advent-of-code22.cabal b/advent-of-code22.cabal
index 8a1b109..2301cd2 100644
--- a/advent-of-code22.cabal
+++ b/advent-of-code22.cabal
@@ -278,11 +278,42 @@ executable advent18
   main-is: advent18/Main.hs
   build-depends: text, attoparsec, containers, linear, lens
 
+executable advent19original
+  import: common-extensions, build-directives
+  main-is: advent19/MainOriginal.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, multiset, parallel, deepseq
+
 executable advent19
   import: common-extensions, build-directives
   main-is: advent19/Main.hs
   build-depends: text, attoparsec, containers, pqueue, mtl, lens, multiset, parallel, deepseq
 
+executable advent19prof
+  import: common-extensions, build-directives
+  main-is: advent19/Main.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, multiset, parallel, deepseq
+  ghc-options:         -O2 
+                       -Wall 
+                       -threaded 
+                       -fprof-auto
+                       -rtsopts "-with-rtsopts=-N -p -s -hT"
+                       -- add -ls for generating the eventlog
+
+executable advent19excl
+  import: common-extensions, build-directives
+  main-is: advent19/MainExplicitClosed.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, multiset, parallel, deepseq
+
+executable advent19exprof
+  import: common-extensions, build-directives
+  main-is: advent19/MainExplicitClosed.hs
+  build-depends: text, attoparsec, containers, pqueue, mtl, lens, multiset, parallel, deepseq
+  ghc-options:         -O2 
+                       -Wall 
+                       -threaded 
+                       -fprof-auto
+                       -rtsopts "-with-rtsopts=-N -p -s -hT"
+
 executable advent20
   import: common-extensions, build-directives
   main-is: advent20/Main.hs
diff --git a/advent19/Main.hs b/advent19/Main.hs
index 25f608a..55f6bbb 100644
--- a/advent19/Main.hs
+++ b/advent19/Main.hs
@@ -1,6 +1,7 @@
 -- Writeup at https://work.njae.me.uk/2022/12/21/advent-of-code-2022-day-19/
+-- Optimised at https://work.njae.me.uk/2023/07/24/optimising-haskell-example-4/
 
--- import Debug.Trace
+import Debug.Trace
 
 import AoC
 import Data.Text (Text)
@@ -12,7 +13,7 @@ import qualified Data.Set as S
 import qualified Data.Sequence as Q
 import qualified Data.Map.Strict as M
 import Data.Map.Strict ((!))
-import Data.MultiSet as MS
+import qualified Data.MultiSet as MS
 import Data.Sequence ((|>)) 
 import Data.List
 import Data.Maybe
@@ -23,17 +24,19 @@ import GHC.Generics (Generic)
 import Control.Parallel.Strategies
 import Control.DeepSeq
 
--- pattern Empty   <- (Q.viewl -> Q.EmptyL)  where Empty = Q.empty
--- pattern x :< xs <- (Q.viewl -> x Q.:< xs) where (:<)  = (Q.<|) 
--- pattern xs :> x <- (Q.viewr -> xs Q.:> x) where (:>)  = (Q.|>) 
 
 data Resource = Ore | Clay | Obsidian | Geode
-    deriving (Show, Eq, Ord, Generic)
+    deriving (Show, Eq, Ord, Generic, Enum, Bounded)
 
 instance NFData Resource 
 
 type Collection = MS.MultiSet Resource
 
+hashCollection :: Collection -> Int
+hashCollection c = 
+    let k = 200 
+    in sum $ zipWith (\r n -> (MS.occur r c) * n) [minBound .. maxBound] $ iterate (* k) 1
+
 type Blueprint = M.Map Resource Collection
 
 data TimedBlueprint = TimedBlueprint { getBlueprint :: Blueprint, getTimeLimit :: Int, getMaxRobots :: Collection}
@@ -41,63 +44,31 @@ data TimedBlueprint = TimedBlueprint { getBlueprint :: Blueprint, getTimeLimit :
 
 type BlueprintContext = Reader TimedBlueprint
 
-data SingleSearchState = SingleSearchState
+data SearchState = SearchState
     { _resources :: Collection
     , _robots :: Collection
+    , _currentTime :: Int
     } deriving (Eq, Show, Ord)
-makeLenses ''SingleSearchState
+makeLenses ''SearchState
+
+type StateHash = (Int, Int, Int)
+hashSearchState :: SearchState -> StateHash
+hashSearchState s = (hashCollection (s ^. resources), hashCollection (s ^. robots), s ^. currentTime)
 
-instance NFData SingleSearchState where
-  rnf (SingleSearchState a b) = rnf a `seq` rnf b `seq` ()
+instance NFData SearchState where
+  rnf (SearchState a b c) = rnf a `seq` rnf b `seq` rnf c `seq` ()
 
-data Agendum s = 
-    Agendum { _current :: s
-            , _trail :: Q.Seq s
+data Agendum = 
+    Agendum { _current :: SearchState
+            , _trail :: Q.Seq SearchState
             , _trailBenefit :: Int
             , _benefit :: Int
             } deriving (Show, Eq, Ord)
 makeLenses ''Agendum   
 
-type Agenda s = P.MaxPQueue Int (Agendum s)
-
-type ExploredStates s = S.Set (s, Int, Int)
-
-
-class (Eq s, Ord s, Show s) => SearchState s where
-  emptySearchState :: s
-  successors :: s -> BlueprintContext (Q.Seq s)
-  estimateBenefit :: s -> Int -> BlueprintContext Int
-
-instance SearchState SingleSearchState where
-  emptySearchState = SingleSearchState { _resources = MS.empty, _robots = MS.singleton Ore }
-
-  successors state = 
-    do blueprint <- asks getBlueprint
-       maxRobots <- asks getMaxRobots
-       let buildableRobots = M.keys $ M.filter (\required -> required `MS.isSubsetOf` (state ^. resources)) blueprint
-       --- if more bots than needed for making any single bot, don't make more of that bot
-       let usefulRobots = MS.foldOccur (\res maxNeeded rs -> 
-                                          if (MS.occur res (state ^. robots)) >= maxNeeded 
-                                          then Data.List.delete res rs
-                                          else rs
-                                        ) buildableRobots maxRobots
-       let madeRobots = [ state & robots %~ MS.insert robot 
-                                & resources %~ ( `MS.difference` (blueprint ! robot) )
-                        | robot <- usefulRobots
-                        ]
-       let afterBuild = [state] ++ madeRobots
-       let afterGather = fmap (\s -> s & resources %~ (MS.union (state ^. robots))) afterBuild
-       return $ Q.fromList afterGather
-
-
-  estimateBenefit currentState timeElapsed = 
-    do timeLimit <- asks getTimeLimit
-       let timeRemaining = timeLimit - (timeElapsed + 1)
-       let currentGeodes = MS.occur Geode (currentState ^. resources)
-       let currentRobotsGather = (MS.occur Geode (currentState ^. robots)) * timeRemaining
-       let newRobotsGather = (timeRemaining * (timeRemaining + 1)) `div` 2 
-       return $ currentGeodes + currentRobotsGather + newRobotsGather
+type Agenda = P.MaxPQueue Int Agendum
 
+type ExploredStates = S.Set StateHash
 
 main :: IO ()
 main = 
@@ -107,88 +78,157 @@ main =
       print $ part1 blueprints
       print $ part2 blueprints
 
-part1 :: [(Int, Blueprint)] -> Int
+part1, part2 :: [(Int, Blueprint)] -> Int
 part1 blueprints = sum [n * (MS.occur Geode (r ^. resources)) | (n, r) <- results]
-    where results = [ (n, _current $ fromJust $ runReader searchSpace (TimedBlueprint blueprint 24 (robotLimits blueprint)) )
-                    | (n, blueprint) <- blueprints ] :: [(Int, SingleSearchState)]
-          robotLimits bp = M.foldl' MS.maxUnion MS.empty bp
--- part1 blueprints = sum [n * (MS.occur Geode (r ^. resources)) | (n, r) <- pResults]
---     where -- results = [ (n, _current $ fromJust $ runReader searchSpace (TimedBlueprint blueprint 24 (robotLimits blueprint)) )
---                     -- | (n, blueprint) <- blueprints ] :: [(Int, SingleSearchState)]
---           -- pResults = parMap rdeepseq id results
---           -- pResults = (fmap runABlueprint blueprints) `using` parList rdeepseq
---           pResults = (fmap runABlueprint blueprints) `using` (parList rdeepseq)
---           runABlueprint (n, blueprint) = (n, _current $ fromJust $ 
---                                                 runReader searchSpace (TimedBlueprint blueprint 24 (robotLimits blueprint)) )
---           robotLimits bp = M.foldl' MS.maxUnion MS.empty bp
-
-part2 :: [(Int, Blueprint)] -> Int
-part2 blueprints = product [MS.occur Geode (r ^. resources) | r <- pResults]
-    where results = [ _current $ fromJust $ runReader searchSpace (TimedBlueprint blueprint 32 (robotLimits blueprint))
-                    | (_, blueprint) <- (take 3 blueprints) ] :: [SingleSearchState]
-          pResults = parMap rdeepseq id results
-          robotLimits bp = M.foldl' MS.maxUnion MS.empty bp
-
-searchSpace :: SearchState s => BlueprintContext (Maybe (Agendum s))
+-- part1 blueprints = results
+  -- where results = fmap (scoreBlueprint 24) blueprints
+  where results = parMap rdeepseq (scoreBlueprint 24) blueprints
+
+-- part2 :: [(Int, Blueprint)] -> Int
+part2 blueprints = product [MS.occur Geode (r ^. resources) | (_, r) <- results]
+    -- where results = fmap (scoreBlueprint 32) $ take 3 blueprints
+    where results = parMap rdeepseq (scoreBlueprint 32) $ take 3 blueprints
+
+robotLimits :: Blueprint -> Collection
+robotLimits bp = M.foldl' MS.maxUnion MS.empty bp
+
+scoreBlueprint :: Int -> (Int, Blueprint) -> (Int, SearchState)
+scoreBlueprint t (n, bp) = ( n
+                           , runReader searchSpace (TimedBlueprint bp t (robotLimits bp))
+                           )
+
+searchSpace :: BlueprintContext SearchState
 searchSpace = 
     do agenda <- initAgenda 
-       -- aStar agenda S.empty
-       res <- aStar agenda S.empty
-       return (res `seq` res)
+       -- searchAll agenda S.empty emptySearchState
+       result <- aStar agenda S.empty
+       return $ (fromJust result) ^. current
 
-initAgenda :: SearchState s => BlueprintContext (Agenda s)
+initAgenda :: BlueprintContext Agenda
 initAgenda = 
     do let startState = emptySearchState 
-       b <- estimateBenefit startState 0
+       b <- estimateBenefit startState
        return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
 
-aStar ::  SearchState s => Agenda s -> ExploredStates s -> BlueprintContext (Maybe (Agendum s))
+
+aStar ::  Agenda -> ExploredStates -> BlueprintContext (Maybe Agendum)
 aStar agenda closed 
-    -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
-    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " benefit " ++ (show $ fst $ P.findMax agenda) ++ " : elapsed " ++ (show $ Q.length $ _trail $ snd $ P.findMax agenda)) False = undefined
     | P.null agenda = return Nothing
     | otherwise = 
         do  let (_, currentAgendum) = P.findMax agenda
             let reached = currentAgendum ^. current
             nexts <- candidates currentAgendum closed
             let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
-            -- let beamAgenda = P.fromDescList $ P.take 10000 newAgenda -- agenda beam width
-            -- let beamAgenda = P.fromDescList $ P.take 5000 newAgenda -- agenda beam width
-            reachedGoal <- isGoal currentAgendum
-            let cl = (reached, currentAgendum ^. trailBenefit, Q.length $ currentAgendum ^. trail)
-            if reachedGoal
+            let cl = hashSearchState reached
+            atTimeLimit <- isTimeLimit currentAgendum
+            if atTimeLimit
             then return (Just currentAgendum)
             else if (cl `S.member` closed)
                  then aStar (P.deleteMax agenda) closed
-                 -- else aStar newAgenda (S.insert cl closed)
                  else aStar newAgenda (S.insert cl closed)
 
-candidates :: SearchState s => Agendum s -> ExploredStates s -> BlueprintContext (Q.Seq (Agendum s))
+candidates :: Agendum -> ExploredStates -> BlueprintContext (Q.Seq Agendum)
 candidates agendum closed = 
     do  let candidate = agendum ^. current
         let previous = agendum ^. trail
-        let prevBenefit = agendum ^. trailBenefit
         succs <- successors candidate
-        succAgs <- mapM (makeAgendum previous prevBenefit) succs
-        let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit, Q.length $ s ^. trail) `S.notMember` closed) succAgs
+        succAgs <- mapM (makeAgendum previous) succs
+        let nonloops = Q.filter (\s -> (hashSearchState $ s ^. current) `S.notMember` closed) succAgs
         return nonloops
 
-makeAgendum :: SearchState s => Q.Seq s -> Int -> s -> BlueprintContext (Agendum s)
-makeAgendum previous prevBenefit newState = 
-    do predicted <- estimateBenefit newState (Q.length previous)
+makeAgendum :: Q.Seq SearchState -> SearchState -> BlueprintContext Agendum
+makeAgendum previous newState = 
+    do predicted <- estimateBenefit newState
        let newTrail = previous |> newState
-       -- let incurred = geodesFound newState 
-       let incurred = 0
+       let incurred = (MS.occur Geode (newState ^. resources))
        return Agendum { _current = newState
                       , _trail = newTrail
                       , _trailBenefit = incurred
                       , _benefit = incurred + predicted
                       }
 
-isGoal :: SearchState s => Agendum s -> BlueprintContext Bool
-isGoal agendum = 
+isTimeLimit :: Agendum -> BlueprintContext Bool
+isTimeLimit agendum = 
   do timeLimit <- asks getTimeLimit
-     return $ Q.length (agendum ^. trail) == timeLimit
+     return $ (agendum ^. current . currentTime) >= timeLimit
+
+emptySearchState :: SearchState
+emptySearchState = SearchState { _resources = MS.empty, _robots = MS.singleton Ore, _currentTime = 0 }
+
+successors :: SearchState -> BlueprintContext (Q.Seq SearchState)
+successors state = 
+  do blueprint <- asks getBlueprint
+     maxRobots <- asks getMaxRobots
+     timeLimit <- asks getTimeLimit
+
+     let robotSuccessors = Q.fromList $ catMaybes $ M.elems $ M.mapWithKey (handleRobot state maxRobots timeLimit) blueprint
+     
+     let timeRemaining = timeLimit - (state ^. currentTime)
+     let gathered = MS.foldOccur (\res n acc -> MS.insertMany res (n * timeRemaining) acc) 
+                                MS.empty 
+                                (state ^. robots)
+     let delayUntilEnd = (state & currentTime .~ timeLimit
+                                & resources %~ (MS.union gathered)
+                         )
+     return ( robotSuccessors |> delayUntilEnd )
+
+handleRobot :: SearchState -> Collection -> Int -> Resource -> Collection -> Maybe SearchState
+handleRobot state maxRobots timeLimit robot recipe
+  | sufficientRobots robot state maxRobots = Nothing
+  | otherwise = buildWhenReady robot state recipe timeLimit
+
+-- do I already have enough of this robot?
+sufficientRobots :: Resource -> SearchState -> Collection -> Bool
+sufficientRobots robot state maxRobots = 
+    (robot `MS.member` maxRobots)
+    && 
+    ((MS.occur robot (state ^. robots)) >= (MS.occur robot maxRobots))
+
+-- assuming I can't build this robot, how long do I have to wait for the current
+-- robots to gather enough to build it?
+buildDelay :: SearchState -> Collection -> Maybe Int
+buildDelay state recipe 
+  -- | MS.null delay = Just 0
+  | all (\r -> MS.member r rbts) (MS.distinctElems shortfall) = Just $ maximum0 $ fmap snd $ MS.toOccurList delay
+  | otherwise = Nothing
+  where shortfall = recipe `MS.difference` (state ^. resources)
+        delay = MS.foldOccur calcOneDelay MS.empty shortfall
+        rbts = state ^. robots
+        calcOneDelay resource count acc = 
+          MS.insertMany resource 
+                        -- (count `div` (MS.occur resource rbts) + 1) 
+                        (ceiling $ (fromIntegral count) / (fromIntegral $ MS.occur resource rbts))
+                        acc
+        maximum0 xs = if (null xs) then 0 else maximum xs
+
+buildWhenReady :: Resource -> SearchState -> Collection -> Int -> Maybe SearchState
+buildWhenReady robot state recipe timeLimit =
+  do  waitDelay <- buildDelay state recipe
+      delay <- tooLate (state ^. currentTime) (waitDelay + 1) timeLimit
+      let gathered = MS.foldOccur (\res n acc -> MS.insertMany res (n * delay) acc) 
+                                MS.empty 
+                                (state ^. robots)
+      return (state & robots %~ MS.insert robot                  -- add the robot
+                    & resources %~ (MS.union gathered)           -- add the gathered resources
+                    & resources %~ ( `MS.difference` recipe )    -- remove the resources to build it
+                    & currentTime %~ (+ delay)
+             )
+
+tooLate :: Int -> Int -> Int -> Maybe Int
+tooLate current delay timeLimit
+  | (current + delay) <= timeLimit = Just delay
+  | otherwise = Nothing
+
+
+estimateBenefit :: SearchState -> BlueprintContext Int
+estimateBenefit currentState = 
+  do timeLimit <- asks getTimeLimit
+     let timeElapsed = currentState ^. currentTime
+     let timeRemaining = timeLimit - timeElapsed 
+     let currentRobotsGather = (MS.occur Geode (currentState ^. robots)) * timeRemaining
+     let newRobotsGather = (timeRemaining * (timeRemaining + 1)) `div` 2 
+     return $ currentRobotsGather + newRobotsGather
+
 
 -- Parse the input file
 
@@ -219,4 +259,4 @@ successfulParse :: Text -> [(Int, Blueprint)]
 successfulParse input = 
   case parseOnly blueprintsP input of
     Left  _err -> [] -- TIO.putStr $ T.pack $ parseErrorPretty err
-    Right blueprints -> blueprints
\ No newline at end of file
+    Right blueprints -> blueprints
diff --git a/advent19/MainExplicitClosed.hs b/advent19/MainExplicitClosed.hs
new file mode 100644
index 0000000..9c5e3b8
--- /dev/null
+++ b/advent19/MainExplicitClosed.hs
@@ -0,0 +1,258 @@
+-- Writeup at https://work.njae.me.uk/2022/12/21/advent-of-code-2022-day-19/
+-- Optimised at https://work.njae.me.uk/2023/07/24/optimising-haskell-example-4/
+
+import Debug.Trace
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Control.Applicative
+import qualified Data.PQueue.Prio.Max as P
+import qualified Data.Set as S
+import qualified Data.Sequence as Q
+import qualified Data.Map.Strict as M
+import Data.Map.Strict ((!))
+import qualified Data.MultiSet as MS
+import Data.Sequence ((|>)) 
+import Data.List
+import Data.Maybe
+-- import Data.Ord
+import Control.Monad.Reader
+import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+import GHC.Generics (Generic)
+import Control.Parallel.Strategies
+import Control.DeepSeq
+
+data Resource = Ore | Clay | Obsidian | Geode
+    deriving (Show, Eq, Ord, Generic)
+
+instance NFData Resource 
+
+type Collection = MS.MultiSet Resource
+
+
+type Blueprint = M.Map Resource Collection
+
+data TimedBlueprint = TimedBlueprint { getBlueprint :: Blueprint, getTimeLimit :: Int, getMaxRobots :: Collection}
+    deriving (Show, Eq, Ord)
+
+type BlueprintContext = Reader TimedBlueprint
+
+data SearchState = SearchState
+    { _resources :: Collection
+    , _robots :: Collection
+    , _currentTime :: Int
+    } deriving (Eq, Show, Ord)
+makeLenses ''SearchState
+
+
+instance NFData SearchState where
+  rnf (SearchState a b c) = rnf a `seq` rnf b `seq` rnf c `seq` ()
+
+data Agendum = 
+    Agendum { _current :: SearchState
+            , _trail :: Q.Seq SearchState
+            , _trailBenefit :: Int
+            , _benefit :: Int
+            } deriving (Show, Eq, Ord)
+makeLenses ''Agendum   
+
+type Agenda = P.MaxPQueue Int Agendum
+
+type ExploredStates = S.Set SearchState
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let blueprints = successfulParse text
+      print $ part1 blueprints
+      print $ part2 blueprints
+
+part1, part2 :: [(Int, Blueprint)] -> Int
+part1 blueprints = sum [n * (MS.occur Geode (r ^. resources)) | (n, r) <- results]
+-- part1 blueprints = results
+  -- where results = fmap (scoreBlueprint 24) blueprints
+  where results = parMap rdeepseq (scoreBlueprint 24) blueprints
+
+-- part2 :: [(Int, Blueprint)] -> Int
+part2 blueprints = product [MS.occur Geode (r ^. resources) | (_, r) <- results]
+    where results = parMap rdeepseq (scoreBlueprint 32) $ take 3 blueprints
+
+robotLimits :: Blueprint -> Collection
+robotLimits bp = M.foldl' MS.maxUnion MS.empty bp
+
+scoreBlueprint :: Int -> (Int, Blueprint) -> (Int, SearchState)
+scoreBlueprint t (n, bp) = ( n
+                           , runReader searchSpace (TimedBlueprint bp t (robotLimits bp))
+                           )
+
+searchSpace :: BlueprintContext SearchState
+searchSpace = 
+    do agenda <- initAgenda 
+       -- searchAll agenda S.empty emptySearchState
+       result <- aStar agenda S.empty
+       return $ (fromJust result) ^. current
+
+initAgenda :: BlueprintContext Agenda
+initAgenda = 
+    do let startState = emptySearchState 
+       b <- estimateBenefit startState
+       return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
+
+aStar ::  Agenda -> ExploredStates -> BlueprintContext (Maybe Agendum)
+aStar agenda closed 
+    -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " benefit " ++ (show $ fst $ P.findMax agenda) ++ " : elapsed " ++ (show $ Q.length $ _trail $ snd $ P.findMax agenda)) False = undefined
+    | P.null agenda = return Nothing
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            -- let cl = hashSearchState reached
+            atTimeLimit <- isTimeLimit currentAgendum
+            if atTimeLimit
+            then return (Just currentAgendum)
+            else if (reached `S.member` closed)
+                 then aStar (P.deleteMax agenda) closed
+                 -- else aStar newAgenda (S.insert cl closed)
+                 else aStar newAgenda (S.insert reached closed)
+
+candidates :: Agendum -> ExploredStates -> BlueprintContext (Q.Seq Agendum)
+candidates agendum closed = 
+    do  let candidate = agendum ^. current
+        let previous = agendum ^. trail
+        -- let nextLen = Q.length previous + 1
+        let prevBenefit = agendum ^. trailBenefit
+        succs <- successors candidate
+        succAgs <- mapM (makeAgendum previous prevBenefit) succs
+        let nonloops = Q.filter (\s -> (s ^. current) `S.notMember` closed) succAgs
+        return nonloops
+
+makeAgendum :: Q.Seq SearchState -> Int -> SearchState -> BlueprintContext Agendum
+makeAgendum previous prevBenefit newState = 
+    -- do predicted <- estimateBenefit newState (Q.length previous)
+    do predicted <- estimateBenefit newState
+       let newTrail = previous |> newState
+       let incurred = (MS.occur Geode (newState ^. resources))
+       return Agendum { _current = newState
+                      , _trail = newTrail
+                      , _trailBenefit = incurred
+                      , _benefit = incurred + predicted
+                      }
+
+isTimeLimit :: Agendum -> BlueprintContext Bool
+isTimeLimit agendum = 
+  do timeLimit <- asks getTimeLimit
+     -- return $ Q.length (agendum ^. trail) == timeLimit
+     return $ (agendum ^. current . currentTime) >= timeLimit
+
+emptySearchState :: SearchState
+emptySearchState = SearchState { _resources = MS.empty, _robots = MS.singleton Ore, _currentTime = 0 }
+
+successors :: SearchState -> BlueprintContext (Q.Seq SearchState)
+successors state = 
+  do blueprint <- asks getBlueprint
+     maxRobots <- asks getMaxRobots
+     timeLimit <- asks getTimeLimit
+
+     let robotSuccessors = Q.fromList $ catMaybes $ M.elems $ M.mapWithKey (handleRobot state maxRobots timeLimit) blueprint
+     
+     let timeRemaining = timeLimit - (state ^. currentTime)
+     let gathered = MS.foldOccur (\res n acc -> MS.insertMany res (n * timeRemaining) acc) 
+                                MS.empty 
+                                (state ^. robots)
+     let delayUntilEnd = (state & currentTime .~ timeLimit
+                                    & resources %~ (MS.union gathered)
+                             )
+     return ( robotSuccessors |> delayUntilEnd )
+
+handleRobot :: SearchState -> Collection -> Int -> Resource -> Collection -> Maybe SearchState
+handleRobot state maxRobots timeLimit robot recipe
+  | sufficientRobots robot state maxRobots = Nothing
+  -- | buildableRobot state recipe = buildRobotAndGather robot state recipe
+  | otherwise = buildWhenReady robot state recipe timeLimit
+
+-- do I already have enough of this robot?
+sufficientRobots :: Resource -> SearchState -> Collection -> Bool
+sufficientRobots robot state maxRobots = 
+    (robot `MS.member` maxRobots)
+    && 
+    ((MS.occur robot (state ^. robots)) >= (MS.occur robot maxRobots))
+
+buildDelay :: SearchState -> Collection -> Maybe Int
+buildDelay state recipe 
+  -- | MS.null delay = Just 0
+  | all (\r -> MS.member r rbts) (MS.distinctElems shortfall) = Just $ maximum0 $ fmap snd $ MS.toOccurList delay
+  | otherwise = Nothing
+  where shortfall = recipe `MS.difference` (state ^. resources)
+        delay = MS.foldOccur calcOneDelay MS.empty shortfall
+        rbts = state ^. robots
+        calcOneDelay resource count acc = 
+          MS.insertMany resource 
+                        -- (count `div` (MS.occur resource rbts) + 1) 
+                        (ceiling $ (fromIntegral count) / (fromIntegral $ MS.occur resource rbts))
+                        acc
+        maximum0 xs = if (null xs) then 0 else maximum xs
+
+buildWhenReady :: Resource -> SearchState -> Collection -> Int -> Maybe SearchState
+buildWhenReady robot state recipe timeLimit =
+  do  waitDelay <- buildDelay state recipe
+      delay <- tooLate (state ^. currentTime) (waitDelay + 1) timeLimit
+      let gathered = MS.foldOccur (\res n acc -> MS.insertMany res (n * delay) acc) 
+                                MS.empty 
+                                (state ^. robots)
+      return (state & robots %~ MS.insert robot                  -- add the robot
+                    & resources %~ (MS.union gathered)
+                    & resources %~ ( `MS.difference` recipe )    -- remove the resources to build it
+                    & currentTime %~ (+ delay)
+             )
+
+tooLate :: Int -> Int -> Int -> Maybe Int
+tooLate current delay timeLimit
+  | (current + delay) <= timeLimit = Just delay
+  | otherwise = Nothing
+
+
+estimateBenefit :: SearchState -> BlueprintContext Int
+estimateBenefit currentState = 
+  do timeLimit <- asks getTimeLimit
+     let timeElapsed = currentState ^. currentTime
+     let timeRemaining = timeLimit - timeElapsed 
+     let currentRobotsGather = (MS.occur Geode (currentState ^. robots)) * timeRemaining
+     let newRobotsGather = (timeRemaining * (timeRemaining + 1)) `div` 2 
+     return $ currentRobotsGather + newRobotsGather
+
+
+-- Parse the input file
+
+blueprintsP :: Parser [(Int, Blueprint)]
+blueprintP :: Parser (Int, Blueprint)
+robotP :: Parser (Resource, Collection)
+requirementsP :: Parser Collection
+requirementP :: Parser (Resource, Int)
+resourceP, oreP, clayP, obsidianP, geodeP :: Parser Resource
+
+blueprintsP = blueprintP `sepBy` endOfLine
+blueprintP = blueprintify <$> (("Blueprint " *> decimal) <* ": ") <*> (robotP `sepBy` ". ") <* "."
+  where blueprintify n robots = 
+          (n, M.fromList robots)
+robotP = (,) <$> ("Each " *> resourceP) <*> (" robot costs " *> requirementsP)
+
+requirementsP = MS.fromOccurList <$> (requirementP `sepBy` " and ")
+
+requirementP = (flip (,)) <$> (decimal <* " ") <*> resourceP
+
+resourceP = oreP <|> clayP <|> obsidianP <|> geodeP
+oreP = Ore <$ "ore"
+clayP = Clay <$ "clay"
+obsidianP = Obsidian <$ "obsidian"
+geodeP = Geode <$ "geode"
+
+successfulParse :: Text -> [(Int, Blueprint)]
+successfulParse input = 
+  case parseOnly blueprintsP input of
+    Left  _err -> [] -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right blueprints -> blueprints
\ No newline at end of file
diff --git a/advent19/MainOriginal.hs b/advent19/MainOriginal.hs
new file mode 100644
index 0000000..4252c7a
--- /dev/null
+++ b/advent19/MainOriginal.hs
@@ -0,0 +1,224 @@
+-- Writeup at https://work.njae.me.uk/2022/12/21/advent-of-code-2022-day-19/
+
+-- import Debug.Trace
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Control.Applicative
+import qualified Data.PQueue.Prio.Max as P
+import qualified Data.Set as S
+import qualified Data.Sequence as Q
+import qualified Data.Map.Strict as M
+import Data.Map.Strict ((!))
+import Data.MultiSet as MS
+import Data.Sequence ((|>)) 
+import Data.List
+import Data.Maybe
+-- import Data.Ord
+import Control.Monad.Reader
+import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+import GHC.Generics (Generic)
+import Control.Parallel.Strategies
+import Control.DeepSeq
+
+-- pattern Empty   <- (Q.viewl -> Q.EmptyL)  where Empty = Q.empty
+-- pattern x :< xs <- (Q.viewl -> x Q.:< xs) where (:<)  = (Q.<|) 
+-- pattern xs :> x <- (Q.viewr -> xs Q.:> x) where (:>)  = (Q.|>) 
+
+data Resource = Ore | Clay | Obsidian | Geode
+    deriving (Show, Eq, Ord, Generic)
+
+instance NFData Resource 
+
+type Collection = MS.MultiSet Resource
+
+type Blueprint = M.Map Resource Collection
+
+data TimedBlueprint = TimedBlueprint { getBlueprint :: Blueprint, getTimeLimit :: Int, getMaxRobots :: Collection}
+    deriving (Show, Eq, Ord)
+
+type BlueprintContext = Reader TimedBlueprint
+
+data SingleSearchState = SingleSearchState
+    { _resources :: Collection
+    , _robots :: Collection
+    } deriving (Eq, Show, Ord)
+makeLenses ''SingleSearchState
+
+instance NFData SingleSearchState where
+  rnf (SingleSearchState a b) = rnf a `seq` rnf b `seq` ()
+
+data Agendum s = 
+    Agendum { _current :: s
+            , _trail :: Q.Seq s
+            , _trailBenefit :: Int
+            , _benefit :: Int
+            } deriving (Show, Eq, Ord)
+makeLenses ''Agendum   
+
+type Agenda s = P.MaxPQueue Int (Agendum s)
+
+type ExploredStates s = S.Set (s, Int, Int)
+
+
+class (Eq s, Ord s, Show s) => SearchState s where
+  emptySearchState :: s
+  successors :: s -> BlueprintContext (Q.Seq s)
+  estimateBenefit :: s -> Int -> BlueprintContext Int
+
+instance SearchState SingleSearchState where
+  emptySearchState = SingleSearchState { _resources = MS.empty, _robots = MS.singleton Ore }
+
+  successors state = 
+    do blueprint <- asks getBlueprint
+       maxRobots <- asks getMaxRobots
+       let buildableRobots = M.keys $ M.filter (\required -> required `MS.isSubsetOf` (state ^. resources)) blueprint
+       --- if more bots than needed for making any single bot, don't make more of that bot
+       let usefulRobots = MS.foldOccur (\res maxNeeded rs -> 
+                                          if (MS.occur res (state ^. robots)) >= maxNeeded 
+                                          then Data.List.delete res rs
+                                          else rs
+                                        ) buildableRobots maxRobots
+       let madeRobots = [ state & robots %~ MS.insert robot 
+                                & resources %~ ( `MS.difference` (blueprint ! robot) )
+                        | robot <- usefulRobots
+                        ]
+       let afterBuild = [state] ++ madeRobots
+       let afterGather = fmap (\s -> s & resources %~ (MS.union (state ^. robots))) afterBuild
+       return $ Q.fromList afterGather
+
+
+  estimateBenefit currentState timeElapsed = 
+    do timeLimit <- asks getTimeLimit
+       let timeRemaining = timeLimit - (timeElapsed + 1)
+       let currentGeodes = MS.occur Geode (currentState ^. resources)
+       let currentRobotsGather = (MS.occur Geode (currentState ^. robots)) * timeRemaining
+       let newRobotsGather = (timeRemaining * (timeRemaining + 1)) `div` 2 
+       return $ currentGeodes + currentRobotsGather + newRobotsGather
+
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let blueprints = successfulParse text
+      print $ part1 blueprints
+      -- print $ part2 blueprints
+
+-- part1 :: [(Int, Blueprint)] -> Int
+part1 blueprints = sum [n * (MS.occur Geode (r ^. resources)) | (n, r) <- results]
+-- part1 blueprints = pResults
+    where results = [ (n, _current $ fromJust $ runReader searchSpace (TimedBlueprint blueprint 24 (robotLimits blueprint)) )
+                    | (n, blueprint) <- blueprints ] :: [(Int, SingleSearchState)]
+          pResults = parMap rdeepseq id results
+          robotLimits bp = M.foldl' MS.maxUnion MS.empty bp
+-- part1 blueprints = sum [n * (MS.occur Geode (r ^. resources)) | (n, r) <- pResults]
+--     where -- results = [ (n, _current $ fromJust $ runReader searchSpace (TimedBlueprint blueprint 24 (robotLimits blueprint)) )
+--                     -- | (n, blueprint) <- blueprints ] :: [(Int, SingleSearchState)]
+--           -- pResults = parMap rdeepseq id results
+--           -- pResults = (fmap runABlueprint blueprints) `using` parList rdeepseq
+--           pResults = (fmap runABlueprint blueprints) `using` (parList rdeepseq)
+--           runABlueprint (n, blueprint) = (n, _current $ fromJust $ 
+--                                                 runReader searchSpace (TimedBlueprint blueprint 24 (robotLimits blueprint)) )
+--           robotLimits bp = M.foldl' MS.maxUnion MS.empty bp
+
+part2 :: [(Int, Blueprint)] -> Int
+part2 blueprints = product [MS.occur Geode (r ^. resources) | r <- pResults]
+    where results = [ _current $ fromJust $ runReader searchSpace (TimedBlueprint blueprint 32 (robotLimits blueprint))
+                    | (_, blueprint) <- (take 3 blueprints) ] :: [SingleSearchState]
+          pResults = parMap rdeepseq id results
+          robotLimits bp = M.foldl' MS.maxUnion MS.empty bp
+
+searchSpace :: SearchState s => BlueprintContext (Maybe (Agendum s))
+searchSpace = 
+    do agenda <- initAgenda 
+       -- aStar agenda S.empty
+       res <- aStar agenda S.empty
+       return (res `seq` res)
+
+initAgenda :: SearchState s => BlueprintContext (Agenda s)
+initAgenda = 
+    do let startState = emptySearchState 
+       b <- estimateBenefit startState 0
+       return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
+
+aStar ::  SearchState s => Agenda s -> ExploredStates s -> BlueprintContext (Maybe (Agendum s))
+aStar agenda closed 
+    -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " benefit " ++ (show $ fst $ P.findMax agenda) ++ " : elapsed " ++ (show $ Q.length $ _trail $ snd $ P.findMax agenda)) False = undefined
+    | P.null agenda = return Nothing
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            nexts <- candidates currentAgendum closed
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            -- let beamAgenda = P.fromDescList $ P.take 10000 newAgenda -- agenda beam width
+            -- let beamAgenda = P.fromDescList $ P.take 5000 newAgenda -- agenda beam width
+            reachedGoal <- isGoal currentAgendum
+            let cl = (reached, currentAgendum ^. trailBenefit, Q.length $ currentAgendum ^. trail)
+            if reachedGoal
+            then return (Just currentAgendum)
+            else if (cl `S.member` closed)
+                 then aStar (P.deleteMax agenda) closed
+                 -- else aStar newAgenda (S.insert cl closed)
+                 else aStar newAgenda (S.insert cl closed)
+
+candidates :: SearchState s => Agendum s -> ExploredStates s -> BlueprintContext (Q.Seq (Agendum s))
+candidates agendum closed = 
+    do  let candidate = agendum ^. current
+        let previous = agendum ^. trail
+        let prevBenefit = agendum ^. trailBenefit
+        succs <- successors candidate
+        succAgs <- mapM (makeAgendum previous prevBenefit) succs
+        let nonloops = Q.filter (\s -> (s ^. current, s ^. trailBenefit, Q.length $ s ^. trail) `S.notMember` closed) succAgs
+        return nonloops
+
+makeAgendum :: SearchState s => Q.Seq s -> Int -> s -> BlueprintContext (Agendum s)
+makeAgendum previous prevBenefit newState = 
+    do predicted <- estimateBenefit newState (Q.length previous)
+       let newTrail = previous |> newState
+       -- let incurred = geodesFound newState 
+       let incurred = 0
+       return Agendum { _current = newState
+                      , _trail = newTrail
+                      , _trailBenefit = incurred
+                      , _benefit = incurred + predicted
+                      }
+
+isGoal :: SearchState s => Agendum s -> BlueprintContext Bool
+isGoal agendum = 
+  do timeLimit <- asks getTimeLimit
+     return $ Q.length (agendum ^. trail) == timeLimit
+
+-- Parse the input file
+
+blueprintsP :: Parser [(Int, Blueprint)]
+blueprintP :: Parser (Int, Blueprint)
+robotP :: Parser (Resource, Collection)
+requirementsP :: Parser Collection
+requirementP :: Parser (Resource, Int)
+resourceP, oreP, clayP, obsidianP, geodeP :: Parser Resource
+
+blueprintsP = blueprintP `sepBy` endOfLine
+blueprintP = blueprintify <$> (("Blueprint " *> decimal) <* ": ") <*> (robotP `sepBy` ". ") <* "."
+  where blueprintify n robots = 
+          (n, M.fromList robots)
+robotP = (,) <$> ("Each " *> resourceP) <*> (" robot costs " *> requirementsP)
+
+requirementsP = MS.fromOccurList <$> (requirementP `sepBy` " and ")
+
+requirementP = (flip (,)) <$> (decimal <* " ") <*> resourceP
+
+resourceP = oreP <|> clayP <|> obsidianP <|> geodeP
+oreP = Ore <$ "ore"
+clayP = Clay <$ "clay"
+obsidianP = Obsidian <$ "obsidian"
+geodeP = Geode <$ "geode"
+
+successfulParse :: Text -> [(Int, Blueprint)]
+successfulParse input = 
+  case parseOnly blueprintsP input of
+    Left  _err -> [] -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right blueprints -> blueprints
\ No newline at end of file
diff --git a/advent19/MainSingle.hs b/advent19/MainSingle.hs
new file mode 100644
index 0000000..46fd58c
--- /dev/null
+++ b/advent19/MainSingle.hs
@@ -0,0 +1,224 @@
+-- Writeup at https://work.njae.me.uk/2022/12/21/advent-of-code-2022-day-19/
+
+import Debug.Trace
+
+import AoC
+import Data.Text (Text)
+import qualified Data.Text.IO as TIO
+import Data.Attoparsec.Text hiding (take, D)
+import Control.Applicative
+import qualified Data.PQueue.Prio.Max as P
+import qualified Data.Set as S
+import qualified Data.Sequence as Q
+import qualified Data.Map.Strict as M
+import Data.Map.Strict ((!))
+import Data.MultiSet as MS
+import Data.Sequence ((|>)) 
+import Data.List
+import Data.Maybe
+-- import Data.Ord
+import Control.Monad.Reader
+import Control.Lens hiding ((<|), (|>), (:>), (:<), indices)
+import GHC.Generics (Generic)
+import Control.Parallel.Strategies
+import Control.DeepSeq
+
+-- pattern Empty   <- (Q.viewl -> Q.EmptyL)  where Empty = Q.empty
+-- pattern x :< xs <- (Q.viewl -> x Q.:< xs) where (:<)  = (Q.<|) 
+-- pattern xs :> x <- (Q.viewr -> xs Q.:> x) where (:>)  = (Q.|>) 
+
+data Resource = Ore | Clay | Obsidian | Geode
+    deriving (Show, Eq, Ord, Generic)
+
+instance NFData Resource 
+
+type Collection = MS.MultiSet Resource
+hashCollection c = (MS.occur Ore c) + 200 * (MS.occur Clay c) + 200 * 200 * (MS.occur Obsidian c) + 200 * 200 * 200 * (MS.occur Geode c)
+
+
+type Blueprint = M.Map Resource Collection
+
+data TimedBlueprint = TimedBlueprint { getBlueprint :: Blueprint, getTimeLimit :: Int, getMaxRobots :: Collection}
+    deriving (Show, Eq, Ord)
+
+type BlueprintContext = Reader TimedBlueprint
+
+data SearchState = SearchState
+    { _resources :: Collection
+    , _robots :: Collection
+    } deriving (Eq, Show, Ord)
+makeLenses ''SearchState
+hashSearchState s = (hashCollection (s ^. resources), hashCollection (s ^. robots))
+
+instance NFData SearchState where
+  rnf (SearchState a b) = rnf a `seq` rnf b `seq` ()
+
+data Agendum = 
+    Agendum { _current :: SearchState
+            , _trail :: Q.Seq SearchState
+            , _trailBenefit :: Int
+            , _benefit :: Int
+            } deriving (Show, Eq, Ord)
+makeLenses ''Agendum   
+
+type Agenda = P.MaxPQueue Int Agendum
+
+-- type ExploredStates = S.Set (SearchState, Int, Int)
+-- type ExploredStates = S.Set ((Int, Int), Int, Int)
+type ExploredStates = S.Set ((Int, Int), Int)
+
+main :: IO ()
+main = 
+  do  dataFileName <- getDataFileName
+      text <- TIO.readFile dataFileName
+      let blueprints = successfulParse text
+      print $ part1 blueprints
+      -- print $ part2 blueprints
+
+part1 :: [(Int, Blueprint)] -> Int
+part1 blueprints = sum [n * (MS.occur Geode (r ^. resources)) | (n, r) <- results]
+  -- where results = fmap (scoreBlueprint 24) blueprints
+  where results = parMap rdeepseq (scoreBlueprint 24) blueprints
+
+part2 :: [(Int, Blueprint)] -> Int
+part2 blueprints = product [MS.occur Geode (r ^. resources) | (_, r) <- results]
+    where results = parMap rdeepseq (scoreBlueprint 32) $ take 3 blueprints
+
+robotLimits :: Blueprint -> Collection
+robotLimits bp = M.foldl' MS.maxUnion MS.empty bp
+
+scoreBlueprint :: Int -> (Int, Blueprint) -> (Int, SearchState)
+scoreBlueprint t (n, bp) = ( n
+                           , _current $ fromJust $ runReader searchSpace (TimedBlueprint bp t (robotLimits bp))
+                           )
+
+searchSpace :: BlueprintContext (Maybe Agendum)
+searchSpace = 
+    do agenda <- initAgenda 
+       aStar agenda S.empty 0
+
+initAgenda :: BlueprintContext Agenda
+initAgenda = 
+    do let startState = emptySearchState 
+       b <- estimateBenefit startState 0
+       return $ P.singleton b Agendum { _current = startState, _trail = Q.empty, _trailBenefit = 0, _benefit = b}
+
+aStar ::  Agenda -> ExploredStates -> Int -> BlueprintContext (Maybe Agendum)
+aStar agenda closed bestFound
+    -- | trace ("Peeping " ++ (show $ fst $ P.findMin agenda) ++ ": " ++ (show reached) ++ " <- " ++ (show $ toList $ Q.take 1 $ _trail $ currentAgendum) ++ " :: " ++ (show newAgenda)) False = undefined
+    -- | trace ("Peeping " ++ (show $ _current $ snd $ P.findMax agenda) ++ " benefit " ++ (show $ fst $ P.findMax agenda) ++ " : elapsed " ++ (show $ Q.length $ _trail $ snd $ P.findMax agenda)) False = undefined
+    -- | trace ((show bestFound) ++ " " ++ (show $ _trailBenefit $ snd $ P.findMax agenda) ++ ": " ++ (show $ _current $ snd $ P.findMax agenda)) False = undefined
+    | P.null agenda = return Nothing
+    | otherwise = 
+        do  let (_, currentAgendum) = P.findMax agenda
+            let reached = currentAgendum ^. current
+            let bestFound' = max bestFound (currentAgendum ^. trailBenefit)
+            nexts <- candidates currentAgendum closed bestFound'
+            let newAgenda = foldl' (\q a -> P.insert (_benefit a) a q) (P.deleteMax agenda) nexts
+            -- let beamAgenda = P.fromDescList $ P.take 10000 newAgenda -- agenda beam width
+            -- let beamAgenda = P.fromDescList $ P.take 5000 newAgenda -- agenda beam width
+            reachedGoal <- isGoal currentAgendum
+            -- let cl = (reached, currentAgendum ^. trailBenefit, Q.length $ currentAgendum ^. trail)
+            -- let cl = (hashSearchState reached, currentAgendum ^. trailBenefit, Q.length $ currentAgendum ^. trail)
+            let cl = (hashSearchState reached, Q.length $ currentAgendum ^. trail)
+            if reachedGoal
+            then return (Just currentAgendum)
+            else if (cl `S.member` closed)
+                 then aStar (P.deleteMax agenda) closed bestFound'
+                 -- else aStar newAgenda (S.insert cl closed)
+                 else aStar newAgenda (S.insert cl closed) bestFound'
+
+candidates :: Agendum -> ExploredStates -> Int -> BlueprintContext (Q.Seq Agendum)
+candidates agendum closed bestFound = 
+    do  let candidate = agendum ^. current
+        let previous = agendum ^. trail
+        let nextLen = Q.length previous + 1
+        let prevBenefit = agendum ^. trailBenefit
+        succs <- successors candidate
+        succAgs <- mapM (makeAgendum previous prevBenefit) succs
+        let succAgs' = Q.filter (\a -> a ^. benefit >= bestFound) succAgs
+        -- let nonloops = Q.filter (\s -> (hashSearchState $ s ^. current, s ^. trailBenefit, nextLen) `S.notMember` closed) succAgs'
+        let nonloops = Q.filter (\s -> (hashSearchState $ s ^. current, nextLen) `S.notMember` closed) succAgs'
+        return nonloops
+
+makeAgendum :: Q.Seq SearchState -> Int -> SearchState -> BlueprintContext Agendum
+makeAgendum previous prevBenefit newState = 
+    do predicted <- estimateBenefit newState (Q.length previous)
+       let newTrail = previous |> newState
+       let incurred = (MS.occur Geode (newState ^. resources))
+       -- let incurred = 0
+       return Agendum { _current = newState
+                      , _trail = newTrail
+                      , _trailBenefit = incurred
+                      , _benefit = incurred + predicted
+                      }
+
+isGoal :: Agendum -> BlueprintContext Bool
+isGoal agendum = 
+  do timeLimit <- asks getTimeLimit
+     return $ Q.length (agendum ^. trail) == timeLimit
+
+emptySearchState :: SearchState
+emptySearchState = SearchState { _resources = MS.empty, _robots = MS.singleton Ore }
+
+successors :: SearchState -> BlueprintContext (Q.Seq SearchState)
+successors state = 
+  do blueprint <- asks getBlueprint
+     maxRobots <- asks getMaxRobots
+     let buildableRobots = M.keys $ M.filter (\required -> required `MS.isSubsetOf` (state ^. resources)) blueprint
+     --- if more bots than needed for making any single bot, don't make more of that bot
+     let usefulRobots = MS.foldOccur (\res maxNeeded rs -> 
+                                        if (MS.occur res (state ^. robots)) >= maxNeeded 
+                                        then Data.List.delete res rs
+                                        else rs
+                                      ) buildableRobots maxRobots
+     let madeRobots = [ state & robots %~ MS.insert robot 
+                              & resources %~ ( `MS.difference` (blueprint ! robot) )
+                      | robot <- usefulRobots
+                      ]
+     let afterBuild = [state] ++ madeRobots
+     let afterGather = fmap (\s -> s & resources %~ (MS.union (state ^. robots))) afterBuild
+     return $ Q.fromList afterGather
+
+
+estimateBenefit :: SearchState -> Int -> BlueprintContext Int
+estimateBenefit currentState timeElapsed = 
+  do timeLimit <- asks getTimeLimit
+     let timeRemaining = timeLimit - (timeElapsed + 1)
+     -- let currentGeodes = MS.occur Geode (currentState ^. resources)
+     let currentRobotsGather = (MS.occur Geode (currentState ^. robots)) * timeRemaining
+     let newRobotsGather = (timeRemaining * (timeRemaining + 1)) `div` 2 
+     -- return $ currentGeodes + currentRobotsGather + newRobotsGather
+     return $ currentRobotsGather + newRobotsGather
+
+
+-- Parse the input file
+
+blueprintsP :: Parser [(Int, Blueprint)]
+blueprintP :: Parser (Int, Blueprint)
+robotP :: Parser (Resource, Collection)
+requirementsP :: Parser Collection
+requirementP :: Parser (Resource, Int)
+resourceP, oreP, clayP, obsidianP, geodeP :: Parser Resource
+
+blueprintsP = blueprintP `sepBy` endOfLine
+blueprintP = blueprintify <$> (("Blueprint " *> decimal) <* ": ") <*> (robotP `sepBy` ". ") <* "."
+  where blueprintify n robots = 
+          (n, M.fromList robots)
+robotP = (,) <$> ("Each " *> resourceP) <*> (" robot costs " *> requirementsP)
+
+requirementsP = MS.fromOccurList <$> (requirementP `sepBy` " and ")
+
+requirementP = (flip (,)) <$> (decimal <* " ") <*> resourceP
+
+resourceP = oreP <|> clayP <|> obsidianP <|> geodeP
+oreP = Ore <$ "ore"
+clayP = Clay <$ "clay"
+obsidianP = Obsidian <$ "obsidian"
+geodeP = Geode <$ "geode"
+
+successfulParse :: Text -> [(Int, Blueprint)]
+successfulParse input = 
+  case parseOnly blueprintsP input of
+    Left  _err -> [] -- TIO.putStr $ T.pack $ parseErrorPretty err
+    Right blueprints -> blueprints
\ No newline at end of file
-- 
2.34.1