{ "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": [ "
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" ], "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": [ "" ] }, "execution_count": 159, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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\n", 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KMX8K/ANgCfgW8AhgB/CLwNeq6rdG5Pq74SbgycBNAFX1tBViflhDkt8GfhZ4B/BCYLmq/v0KMTdU1fr+60uATwPvBE4HXlZVzx1R377bODweuAS4qKquWemzAzE7gWuBI4Gn9l9fCjwXeHpVnTki7nzgHwIfAc4Cvgx8EXgV8LqqeucKMa+nt7/eDiz3m48FfhX40qj9foDaD/lxMckxMVxDV46LSY6Jftzr8bjYF7fq42KkSb7WOo+lv9NWWu4B7j9A3LXAYf3XjwF2An/Sf3/NqJj+z4cDfw8s9d8ftm/diLjtwF8CTwGeBBwP3Np//aQRMdcMvL4aOHwg94q5gJsGXl81tO5zB6jvmv7PE4HfAa4HvgC8BnjyiJjP9X8GuG0Vua4deH0Y8Kn+68cC142I+eKI9tD7n3jhjotJjomuHheTHBMeF9MfF6OWNk3LfBM4saqOHFoeDdxxgLjDqup+gKr6Jr3fxkcmeSe937Qr2ff5HwC7quq+/vv7gQdGJaqqXwL+mt6XCp5eVbcAP6iqr1TVqBufPSrJM5KcAqypqu8M5B6V62NJ/luSR/VfnwW9P3mBAz3ZpPrb/lJV/V5V/RPgJcAj6R3EK3lY/8/s44Aj9v2pmuTHGb3/AB7cN0UAPBFY08/9DXr/U67k3iSnrtD+U8C9I2K+SYuPiwmPCejmcTHJMQEeF4MmOS5WtprfBPNcgP8OnDpi3R8cIO59wGkjtvfgiJi/AY5Yof0JwGfHqPVw4I/p/XZePshnLx9a/lG//ccZcUMger+lXwt8tb88SG9E8g5g7QFyXTPBft8MfK2/vBj4MPAh4DZgywHi/hW9P/U/2K/xBf32xwPvGBHzTOAzwA39uA8CN/bbTlnk42I1x0RXj4tJjgmPi+mPi1HLQsy5H0h/FENVfW+FdcdU1W2r2Nbh9P4MunPMzz8d+Omqeuu4OQZi1wCPqKrvHuRzR9Ebbfz9GNs8oqq+PWEtqar7kxwG/CS9P8UPNAKiP0r7x8Ce6o2Cxs33BOAYeqO55ar6v6uteYwch+S4mOaY6Mcv9HEx6THRj/W4GB0/1nGxX0ybOvf+2eBT6f0HLuB2er8ZD1jkJHFtz9X2+qaJG7Gtp1TVF+Yd02SuttfXZK5xYpI8vHrTD4NtR1fVyPufTxLTZK4m63uI1Qzz57kAzwP20PsT6G395QP9tufNMq7tudpe3zRxB9jeV5uIaTJX2+try74Afp7eVTJ76U3JHD+w7upZxTSZq8n6Ri2H0R5vAE6v3omHH0pyAr2TPk+dYVzbc7W9vonikrxxxLZC78qFh66YIKbJXG2vr8lck9YH/CHw/Kq6PskvAx9K8itV9WlGn4idJKbJXE3Wt6I2de6H8f+vcR10G70TSbOMa3uuttc3adwrgP8IfH+FdZtnGNNkrrbX12SuSetbqqrrAarqr5LcCLwryXn0r/SZUUyTuZqsb0Vt6ty3AbuSXEzvelDoXYZ1dn/dLOPanqvt9U0at4ve9c5/O7wiyWtnGNNkrrbX12SuSev7QZInVP8Ean/U+gv0rmz5iRnGNJmryfpW1LYTqk8FzmTgjDmwvapumHVc23O1vb5J4tK7kuLeWs0Z/wlimszV9vqazDVFfacDe6vq80PtRwHnVtX/mEVMk7marG+k1UzQN7EAvzVO2yzi2p6r7fW5LxanPvdF9/fFQz6/mg83sbDCGWHG+BLGJHFtz9X2+twXi1Of+6L7+2J4ac2ce5LNwEuBE5JsH1j1aHr3c5hZXNtztb2+JnNZ3+Lkant9TeZqsr5RWtO5A39L754QRwN/NNB+DzB8h7Vp49qeq+31NZnL+hYnV9vrazJXk/WtqFUnVCVJs9Gmu0ICkORFSb6U5O4k30pyT5JvzSOu7bnaXl+TuaxvcXK1vb4mczVZ30OsZoK+iYXe19ef2kRc23O1vT73xeLU577o/r4YXlo3cqf3ZJMbG4pre66219dkLutbnFxtr6/JXE3Wt5/WzbkneQO9+yS/h4GvMVfVu2Yd1/Zcba+vyVzWtzi52l5fk7marG9Ym66W2edI4Lv07jq4TwEH+0dNEtf2XG2vr8lc1rc4udpeX5O5mqxvP60buUuSpte6OfckT07ykSTX9d8/Lb2ngM88ru252l5fk7msb3Fytb2+JnM1Wd9DTHM2dh4L8HF6T/e5ZqBt5JPTp4lre6621+e+WJz63Bfd3xfDS+tG7sCPVdVnh9run1Nc23O1vb4mc1nf4uRqe31N5mqyvv20sXP/epKfoH9j+vSeRnLABzVPEdf2XG2vr8lc1rc4udpeX5O5mqxvf6sZ5jex0Hty+ofpnSm+Dfgk8KR5xLU9V9vrc18sTn3ui+7vi+GldVfLJFlTVQ8kORx4WFXdM6+4tudqe31N5rK+xcnV9vqazNVkfcPaOC3z5SRbgX8KfHvOcW3P1fb6msxlfYuTq+31NZmryfr2t5phfhML8CjgJfQu1r8FeDPw7HnEtT1X2+tzXyxOfe6L7u+Lh2xjNR9uegEeC7wdeGDecW3P1fb63BeLU5/7ovv7oqqdl0KS5LQkfwpcDTyS3m+wucS1PVfb62syl/UtTq6219dkribr289qfhM0sQBfBt4NbAYOn2dc23O1vT73xeLU577o/r4YXtp4tcyRVbW6m9JPGNf2XG2vr8lc1rc4udpeX5O5mqzvIdtoS+ee5E30L9hfSVX95qzi2p6r7fU1mcv6FidX2+trMleT9Y3Spjn33cBV9OaWngl8qb/8JPDAjOPanqvt9TWZy/oWJ1fb62syV5P1rWySuZx5LsDlwMMH3j8cuHwecW3P1fb63BeLU5/7ovv7Ynhp08h9nycCjx54f0S/bR5xbc/V9vqazGV9i5Or7fU1mavJ+vbTxicxnQ9ck+Ty/vvTgNfOKa7tudpeX5O5rG9xcrW9viZzNVnfflpzQnVQkicCvwLcCPwYcHtVXTGPuLbnant9TeayvsXJ1fb6mszVZH37Wc0cThML8OvAtcA36M07fQ/46Dzi2p6r7fW5LxanPvdF9/fFQ7axmg83sfT/QY8EPtd//xTgknnEtT1X2+tzXyxOfe6L7u+L4aWNJ1Tvrap7AZI8oqq+AJw0p7i252p7fU3msr7FydX2+prM1WR9+2njCdXlJI8B3gN8KMk3gNvnFNf2XG2vr8lc1rc4udpeX5O5mqxvP608obpPktOAo4APVNV984xre66219dkLutbnFxtr6/JXE3WBy3v3CVJk2njnLskaUp27pLUQXbuktRBdu76kZNkzZTxbbzKTNqPJ1TVKUmOBz4AfAZ4BvBF4FeBG4BtwPPoPWw4wH/u/3x/Vb26H38O8Gp6l519Cfh+VZ2b5ELgrv42rwYuAV5P70HG3wNeUVU3JXk5cBawBjgZ+CNgid7XyL8P/GJV3TW/PSD1OAJRF50EnFNVn0qyDXhVv/3eqnp2/54dnwZOoff17g8mOQv4LPA79O6jfQ/wUeDzA9t9MnB6VT2Q5Ejg56rq/iSnA68DXtz/3Mn0fgk8EtgDvLqqnpHkT+j9onn9nP7d0g/ZuauLbq2qT/Vf/yWw7+k1l/R//hTwsaraC5Dk/wA/11/38X0j6yTvpNeh7/POqtr3wISjgL9IciK9J+c8fOBzl1fVPcA9Se4GdvTbrwWeNot/oHQwzrmri4bnGve9/07/Z0bEjWrf5zsDr3+PXid+MrCJ3ih9n+8PvH5w4P2DOKBSQ+zc1UVrk/x0//Vm4JND6z8DnJbk6P7J1c3Ax+lNy5yW5LH9k6YvZrSjgNv6r18+s8qlGbFzVxfdCPybJH8HPA54y+DKqroD+E/0bqX6eeDqqnpvVd1Gb+78M8CH6Z2EvXtEjj8Efj/Jp+idPJVaxatl1Cn9q2Xe158umST+iKr6dn/k/m5gW1W9e5Y1Sk1w5C7t77VJPgdcB3yZ3l35pIXjyF2SOsiRuyR1kJ27JHWQnbskdZCduyR1kJ27JHWQnbskddD/A6co02EiF/DXAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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" ] }, "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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" ] }, "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": [ "
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systemelapsedmemory
count25.00000025.0000002.500000e+01
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50%0.0200000.0900001.326400e+04
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" ], "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": [ "
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total_timetotal_alloctotal_ticksinitial_capabilitiessystemelapsedmemory
program
advent010.0611516576192120.000.0210488
advent020.069613016192120.000.0211112
advent030.046018112120120.000.0210408
advent040.03291382496120.000.019040
advent050.02339688884120.010.019324
advent060.02502588884120.010.0210124
advent070.033049136108120.000.019192
advent080.692145975122352120.020.0912204
advent090.37397082561248120.010.0623660
advent100.0163180848120.000.016800
advent113.0265581283210308120.070.3666664
advent127.58159890240025836120.061.0913264
advent130.0810281760264120.010.0112300
advent145.8025816968019788120.010.8515068
advent1523014.42126607950592784806841220.65137.2718101260
advent16910.4229613705380031045921215.74144.6445628
advent17198.3477649009464676368123.9420.6722000
advent180.36682440961224120.020.0614060
advent19125807.2719645311222964290110041287.221134.1214295324
advent20116.9355860434768398748122.8115.0413940
advent211.973511358246720120.020.4012680
advent223671.9452844510528812521556120.020.2315908
advent231977.02263874465046741780121.87370.1813628
advent2418.13326807233661836120.242.7474820
advent250.0164249648120.000.015896
\n", "
" ], "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", 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" ] }, "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", 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" ] }, "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", 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" ] }, "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", 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" ] }, "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", 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" ] }, "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", 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" ] }, "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", 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" ] }, "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", 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" ] }, "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", 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" ] }, "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", 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" ] }, "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": [ "
" ] }, "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": [ "" ] }, "execution_count": 187, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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KWAbc09hmGXB5RARwm6Q3S3o7sKCHWDOzfcKClT9oO/fQhR+dsry9NPrDgIcb66PAB3rY5rAeYwGQNEL1rwGAZyVta7HZPODRHmoeRFyqmFJz5V5fylyTrk9/li5Xypgp/r32tX1xZLuAXhq9WoxFj9v0ElsNRqwGVncsRNoYEcOdthlUXKqYUnPlXl/KXLnXlzJX7vWlzJWyvl4a/ShwRGP9cGBnj9vM7SHWzMymUC9X3WwAFko6StJcYDmwbtw264DP1VfffBB4KiJ+2WOsmZlNoa5H9BGxR9J5wPXALGBNRNwt6dx6fhWwHjgT2A78Cvh8p9hJ1Nvx1M6A41LFlJor9/pS5sq9vpS5cq8vZa5k9am6UMbMzErlT8aamRXOjd7MrHBu9GZmhXOjNzMr3Ixs9JLO7zD3EUlnS1owbvz3OsRI0qcl/U79+Lfrm7R9QVLP+0jSj7rMzxu3/u/rPCOSWn24bGy7T0h6S/14SNLlkrZIulrS4W1i/lLSib3W3oh7i6TzJZ1T74v/Kun7kr4m6eAOcadIukjS9yR9W9KFkv55l1wfkXSppHV13KWSlk605sbz+XXh10Wr59unXhctn2smXnUj6RcRMb/F+FeBk4DbgbOAb0TEX9dzt0fECeNj6rlLgLdRfcDraeD1wN9RXTL6TxHxBy1i7ho/BLwL2AYQEce1iNlbg6T/BvxL4ArgY8BoRPxhm/ruiYhj6sdXA7cB1wCnAp+JiNNaxOwGfg4MAVcDV0bEHa2ef1zcemALcCBwdP34/wCnAYsiYlmLmAuBQ4C/Bz4OPAjcD3wB+GpEXNMi5htU++tyqg/cQfWBus8BD7Ta5z3U7teFXxetat+nXhctRUSWS70DWy3PAHvaxGwBZteP30x1ff/X6/U7OuTaUv+cAzwGzK3XZ4/NtYhZB/wN8B6qe0wsoLqvz5HAkW1i7mg8vh3Yr5G3ZZ56flvj8aZxc5s75aK6o+ifAHcD9wEXAO/qkGtz/VPAIz3m2tJ4PBu4pX58MLC1Tcz9bcZF9T+0Xxd+Xfh10cfrotWS86mbJ4GFEXHguOUA4JdtYmZHxB6AiHiS6q/0gZKuofrr285YzG+ADRHxYr2+B3ipVUBE/Gvg21QfXlgUEQ8Bv4mIn0fEz9vkeaOk90l6PzArIp5r5G2Zp/YPkv5U0hvrxx+H6p/FwFNtYqJ+7gci4isR8V7g08AbqF7Q7byu/qf4EcD+Y/+klfRW2u/Dl8dOIQDvoPpwHBHxBK3vdwTwgqTFLcZ/C3ihQ31P4tfFGL8uXvEkfl20N5G/CikX4L8Di9vM/Vmb8e8DS9o818sdcl0L7N9i/FDgZ13q3A/4S6q/2KNdtr1p3PL2evytwMYOcXOALwO/qJeXqY5UrgDmt4m5o8/9vgL4p3r5JPBD4EbgEWCkTcy/pTodcENd30fr8SHgijYxJwA/pbpl9Q31cm899n6/Lvy68Ouiv9dFq2VGnqNvpz6yISKebzF3WEQ8MsHn24/qn0u7eth2EfChqG4JMSGqvqDl9RHxqx62PYjqSOSxLtvtHxHPTrSWRj2K6hYWs4Hjqf653u7IiPrI7Z9Rff/AkxPIdSjV7axF9cL/f/3U3CWHXxevbOfXxSs5in9d7I3JudHX7ywvpvoPHlR3vvxZdCi6n5iUuXKvL3WuNs/1noi4L0Vc7rlyr2+qckmaE9UpiubYvIjoeM/3fuJyz9Vvfa8ykcP/lAtwOtVN0q4FvlUv19Vjpw8qJmWu3OtLnatDDb/o8zUz4bjcc+Ve36BzAadQXW2zm+q0zYLG3O0dnm/Ccbnn6re+Vksv96OfLn8FnBrVmxZ7STqK6k2jowcUkzJX7vUlyyXpm23yi+oKiNaTfcTlniv3+hLn+nPgI1HdIfdTwI2SPhsRt9H+Ddx+43LP1W99r5Fzo5/NK9fRNj1C9SbUoGJS5sq9vpS5Pg/8Z+DXLeZWdKivn7jcc+VeX8pcc6O+lXlE/K2ke4HvSFpJm2+nm0Rc7rn6re81cm70a4ANqr5QfOx7Z4+g+vKSNQOMSZkr9/pS5tpAdS31reMnJH25Q339xOWeK/f6Uub6jaRDo37ztT6a/W2qK2Te2aG+fuJyz9Vvfa+R+5uxRwPLaLz7DqyLiHsGGZMyV+71pcql6mqMF2ICVw70G5d7rtzrS5lL0qnA7oi4c9z4QcB5EfE/BhWXe65+62tpIif0p2MB/qCXscnGpMyVe33eF94X050r9/pmwr541fYT2Xg6Flq8u0yXD330E5MyV+71eV94X0x3rtzrmwn7orlke45e0grg3wFHSWp+ofgBVPeXGEhMyly515cyV+71pcyVe30pc+VeX8pc/dbXSraNHriV6h4V84C/aIw/A4y/E9xkYlLmyr2+lLlyry9lrtzrS5kr9/pS5uq3vtfI+s1YMzObvJzvXgmApH8j6QFJT0l6WtIzkp4edEzKXLnXlzJX7vWlzJV7fSlz5V5fylz91vcqEzmhPx0L1cfoj57qmJS5cq/P+8L7Yrpz5V7fTNgXzSX7I3qqb2y5N0FMyly515cyV+71pcyVe30pc+VeX8pc/da3V/bn6CX9FdV9nr9L46PUEfGdQcakzJV7fSlz5V5fyly515cyV+71pczVb31NOV91M+ZA4FdUd0gcE0CnX7KfmJS5cq8vZa7c60uZK/f6UubKvb6Uufqtb6/sj+jNzGxysj9HL+ldkv5e0tZ6/ThV34g+0JiUuXKvL2Wu3OtLmSv3+lLmyr2+lLn6re9VJvNObooF+DHVNxfd0Rhr+Q3yk4lJmSv3+rwvvC+mO1fu9c2EfdFcsj+iB94UET8bN7ZnCmJS5sq9vpS5cq8vZa7c60uZK/f6Uubqt769ZkKjf1TSO6lvtK/qm1bafhnxJGJS5sq9vpS5cq8vZa7c60uZK/f6Uubqt75XTOTwfzoWqm+Q/yHVu86PAP8IHDnomJS5cq/P+8L7Yrpz5V7fTNgXzSX7q24kzYqIlyTtB7wuIp6ZipiUuXKvL2Wu3OtLmSv3+lLmyr2+lLn6ra9pJpy6eVDSauCDwLNTGJMyV+71pcyVe30pc+VeX8pcudeXMle/9b1iIof/07EAbwQ+TfXhgIeAi4CTBh2TMlfu9XlfeF9Md67c65sJ++JVzzGRjad7AQ4GLgdemsqYlLlyr8/7wvtiunPlXt9M2Bcz4dQNkpZIugS4HXgD1V+3gcekzJV7fSlz5V5fyly515cyV+71pczVb317TeSvwnQswIPAWmAFsN9UxaTMlXt93hfeF9OdK/f6ZsK+aC4z4aqbAyNiQjfZ7ycmZa7c60uZK/f6UubKvb6UuXKvL2Wufut71XPk2ugl/TX1BwRaiYj/NIiYlLlyry9lrtzrS5kr9/pS5sq9vpS5+q2vlZzP0W8ENlGdjzoBeKBejgdeGmBMyly515cyV+71pcyVe30pc+VeX8pc/db3Wv2c70m5ADcBcxrrc4CbBh2TMlfu9XlfeF9Md67c65sJ+6K55HxEP+YdwAGN9f3rsUHHpMyVe30pc+VeX8pcudeXMlfu9aXM1W99e82Eb5i6ELhD0k31+hLgy1MQkzJX7vWlzJV7fSlz5V5fyly515cyV7/17ZXtm7FNkt4BfBa4F3gTsDMibh50TMpcudeXMlfu9aXMlXt9KXPlXl/KXP3Wt9dEzvNMxwKcA2wBnqA6V/U88KNBx6TMlXt93hfeF9OdK/f6ZsK+eNVzTGTj6VjqX/ANwOZ6/T3A1YOOSZkr9/q8L7wvpjtX7vXNhH3RXGbCm7EvRMQLAJJeHxH3Ae+egpiUuXKvL2Wu3OtLmSv3+lLmyr2+lLn6rW+vmfBm7KikNwPfBW6U9ASwcwpiUubKvb6UuXKvL2Wu3OtLmSv3+lLm6re+vWbEm7FjJC0BDgKui4gXpyomZa7c60uZK/f6UubKvb6UuXKvL2WuvuubSY3ezMwmbiacozczs0lwozczK5wbvZlZ4dzobZ8nadYk42fC1Wu2D/ObsVY0SQuA64CfAu8D7gc+B9wDrAFOp/qyZQH/pf75g4j4Uh1/NvAlqsvZHgB+HRHnSboMeLx+ztuBq4FvUH2R8/PA5yNim6TfBT4OzAKOBf4CmEv1cfZfA2dGxONTtwfMZsZ19GaT9W7g7Ii4RdIa4Av1+AsRcVJ9H5HbgPdTfcz8BkkfB34G/AnVvcCfAX4E3Nl43ncBp0bES5IOBD4cEXsknQp8Ffhkvd2xVH8Q3gBsB74UEe+T9HWqPzrfmKLf2wxwo7d9w8MRcUv9+G+AsW/mubr++VvAP0TEbgBJ/xv4cD3347EjbknXUDX3MddExNgXQBwE/C9JC6m+FWhOY7ubIuIZ4BlJTwF/V49vAY4bxC9o1onP0du+YPz5ybH15+qfahPXbnzMc43HX6Fq6McCZ1EdvY/5dePxy431l/HBliXgRm/7gvmSPlQ/XgH847j5nwJLJM2r35hdAfyY6tTNEkkH12+4fpL2DgIeqR//7sAqNxsAN3rbF9wL/AdJdwFvAS5tTkbEL4E/proF7J3A7RHxvYh4hOpc+0+BH1K9gftUmxx/DvxPSbdQvfFqlg1fdWNFq6+6+X59SqWf+P0j4tn6iH4tsCYi1g6yRrOp5iN6s86+LGkzsBV4kOoOgmYzio/ozcwK5yN6M7PCudGbmRXOjd7MrHBu9GZmhXOjNzMrnBu9mVnh/j8OerpUBEdtOwAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", "text/plain": [ "
" ] }, "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": [ "
" ] }, "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 }