Day 5: If You Give a Seed a Fertilizer


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    • iAvicenna@lemmy.world
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      11 months ago

      Started 4 days late so coming up from behind. Day 5 was the first solution I am somewhat proud of. I used interval arithmetics. I had to somewhat extend a class interval from pyinterval into something I called PointedInterval. In the end part 2 was completed in 0.32 seconds. It does not reverse engineer the solution starting from 0 location and inverse mapping until you find a seed (that was how I was initially planning to do it). It maps forward everything as intervals. There is a bit of a boiler plate which is in the utils file.

  • Gobbel2000@feddit.de
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    11 months ago

    Rust

    Ooof. Part 1 was easy enough, but for part two I initially went with the naive solution of trying every single seed which took more than a minute (I never really measured). Although that got me the right answer, to me that was just unacceptable.

    I proceeded to try and combine all mappings into one but gave up after spending way too much time on it.

    Then I had the idea that the lowest number in the end must lie at the beginning of a range somewhere. Either the start of a seed range in the beginning or the start of a range in one of the mappings. Any in-between numbers must end up with a higher result. So I considered the start points of all ranges, went through the mappings in reverse to find out if that point is actually within a seed range, and only tested those starting points.

    Finally I had only 183 points to test which ran much faster (0.9ms).

  • kartoffelsaft@programming.dev
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    11 months ago

    Odin

    When I read the problem description I expected the input to also be 2 digit numbers. When I looked at it I just had to say “huh.”

    Second part I think you definitely have to do in reverse (edit: if you are doing a linear search for the answer), as that allows you to nope out as soon as you find a match, whereas with doing it forward you have to keep checking just in case.

    Formatted code

    package day5
    
    import "core:fmt"
    import "core:strings"
    import "core:slice"
    import "core:strconv"
    
    Range :: struct {
        dest: int,
        src: int,
        range: int,
    }
    
    Mapper :: struct {
        ranges: []Range,
    }
    
    parse_range :: proc(s: string) -> (ret: Range) {
        rest := s
    
        parseLen := -1
    
        destOk: bool
        ret.dest, destOk = strconv.parse_int(rest, 10, &parseLen)
        rest = strings.trim_left_space(rest[parseLen:])
    
        srcOk: bool
        ret.src, srcOk = strconv.parse_int(rest, 10, &parseLen)
        rest = strings.trim_left_space(rest[parseLen:])
    
        rangeOk: bool
        ret.range, rangeOk = strconv.parse_int(rest, 10, &parseLen)
    
        return
    }
    
    parse_mapper :: proc(ss: []string) -> (ret: Mapper) {
        ret.ranges = make([]Range, len(ss)-1)
        for s, i in ss[1:] {
            ret.ranges[i] = parse_range(s)
        }
    
        return
    }
    
    parse_mappers :: proc(ss: []string) -> []Mapper {
        mapsStr := make([dynamic][]string)
        defer delete(mapsStr)
    
        restOfLines := ss
        isLineEmpty :: proc(s: string)->bool {return len(s)==0}
    
        for i, found := slice.linear_search_proc(restOfLines, isLineEmpty); 
            found; 
            i, found  = slice.linear_search_proc(restOfLines, isLineEmpty) {
            
            append(&mapsStr, restOfLines[:i])
            restOfLines = restOfLines[i+1:]
        }
        append(&mapsStr, restOfLines[:])
    
        return slice.mapper(mapsStr[1:], parse_mapper)
    }
    
    apply_mapper :: proc(mapper: Mapper, num: int) -> int {
        for r in mapper.ranges {
            if num >= r.src && num - r.src < r.range do return num - r.src + r.dest
        }
    
        return num
    }
    
    p1 :: proc(input: []string) {
        maps := parse_mappers(input)
        defer {
            for m in maps do delete(m.ranges)
            delete(maps)
        }
    
        restSeeds := input[0][len("seeds: "):]
        min := 0x7fffffff
    
        for len(restSeeds) > 0 {
            seedLen := -1
            seed, seedOk := strconv.parse_int(restSeeds, 10, &seedLen)
            restSeeds = strings.trim_left_space(restSeeds[seedLen:])
    
            fmt.print(seed)
            for m in maps {
                seed = apply_mapper(m, seed)
                fmt.print(" ->", seed)
            }
            fmt.println()
    
            if seed < min do min = seed
        }
    
        fmt.println(min)
    }
    
    apply_mapper_reverse :: proc(mapper: Mapper, num: int) -> int {
        for r in mapper.ranges {
            if num >= r.dest && num - r.dest < r.range do return num - r.dest + r.src
        }
    
        return num
    }
    
    p2 :: proc(input: []string) {
        SeedRange :: struct {
            start: int,
            len: int,
        }
    
        seeds := make([dynamic]SeedRange)
        restSeeds := input[0][len("seeds: "):]
    
        for len(restSeeds) > 0 {
            seedLen := -1
            seedS, seedSOk := strconv.parse_int(restSeeds, 10, &seedLen)
            restSeeds = strings.trim_left_space(restSeeds[seedLen:])
    
            seedL, seedLOk := strconv.parse_int(restSeeds, 10, &seedLen)
            restSeeds = strings.trim_left_space(restSeeds[seedLen:])
    
            append(&seeds, SeedRange{seedS, seedL})
        }
    
        maps := parse_mappers(input)
        defer {
            for m in maps do delete(m.ranges)
            delete(maps)
        }
    
        for i := 0; true; i += 1 {
            rseed := i
            #reverse for m in maps {
                rseed = apply_mapper_reverse(m, rseed)
            }
    
            found := false
            for sr in seeds {
                if rseed >= sr.start && rseed < sr.start + sr.len {
                    found = true
                    break
                }
            }
            if found {
                fmt.println(i)
                break
            }
        }
    }
    
  • soulsource@discuss.tchncs.de
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    11 months ago

    [Language: Lean4]

    I’ll only post the actual parsing and solution. I have written some helpers (in this case particularly relevant: Quicksort) which are in other files, as is the main function. For the full code, please see my github repo.

    This one also ended up quite long, because I couldn’t resist to use different types for the different things, and to have the type checker confirm that I’m combining the maps between them in the correct order.

    Also, I am not 100% certain that part 2 doesn’t have any off-by-one errors. I didn’t write any unit tests for it… The answer is correct though, so I probably didn’t mess it up too horribly. Also, it is pretty fast. Part 2 takes about 1.2 milliseconds on my machine, and this is including the file parsing (but not the loading of the file).

    It seems my solution is too long for a single post though, so I’ll split off part 2 and post it separately.

    Edit: There was a bug in the function that checks overlaps between ranges while parsing.

    Parsing and Part 1
    structure Seed where
      id : Nat
      deriving BEq, Ord, Repr
    
    structure Soil where
      id : Nat
      deriving BEq, Ord, Repr
    
    structure Fertilizer where
      id : Nat
      deriving BEq, Ord, Repr
    
    structure Water where
      id : Nat
      deriving BEq, Ord, Repr
    
    structure Light where
      id : Nat
      deriving BEq, Ord, Repr
    
    structure Temperature where
      id : Nat
      deriving BEq, Ord, Repr
    
    structure Humidity where
      id : Nat
      deriving BEq, Ord, Repr
    
    structure Location where
      id : Nat
      deriving BEq, Ord, Repr
    
    private class NatId (α : Type) where
      fromNat : Nat → α
      toNat : α → Nat
    
    private instance : NatId Seed where
      fromNat := Seed.mk
      toNat := Seed.id
    
    private instance : NatId Soil where
      fromNat := Soil.mk
      toNat := Soil.id
    
    private instance : NatId Fertilizer where
      fromNat := Fertilizer.mk
      toNat := Fertilizer.id
    
    private instance : NatId Water where
      fromNat := Water.mk
      toNat := Water.id
    
    private instance : NatId Light where
      fromNat := Light.mk
      toNat := Light.id
    
    private instance : NatId Temperature where
      fromNat := Temperature.mk
      toNat := Temperature.id
    
    private instance : NatId Humidity where
      fromNat := Humidity.mk
      toNat := Humidity.id
    
    private instance : NatId Location where
      fromNat := Location.mk
      toNat := Location.id
    
    private instance : Min Location where
      min a b := if Ord.compare a b == Ordering.lt then a else b
    
    structure Mapping (α β : Type) where
      inputStart : α
      outputStart : β
      length : Nat
      deriving Repr
    
    structure Mappings (α β : Type) where
      mappings : List $ Mapping α β
      deriving Repr
    
    private def Mapping.apply? {α β : Type} [NatId α] [NatId β] (mapping : Mapping α β) (input : α) : Option β :=
      let input := NatId.toNat input
      let fromStart := NatId.toNat mapping.inputStart
      let toStart := NatId.toNat mapping.outputStart
      if input ≥ fromStart ∧ input < fromStart + mapping.length then
        some $ NatId.fromNat $ toStart + input - fromStart
      else
        none
    
    private def Mappings.apply {α β : Type} [NatId α] [NatId β] (mappings : Mappings α β) (input : α) : β :=
      let applied := mappings.mappings.findSome? $ flip Mapping.apply? input
      applied.getD $ NatId.fromNat $ NatId.toNat input
    
    structure Almanach where
      seedsToSoil : Mappings Seed Soil
      soilToFertilizer : Mappings Soil Fertilizer
      fertilizerToWater : Mappings Fertilizer Water
      waterToLight : Mappings Water Light
      lightToTemperature : Mappings Light Temperature
      temperatureToHumidity : Mappings Temperature Humidity
      humidityToLocation : Mappings Humidity Location
      deriving Repr
    
    private def parseSeeds (input : String) : Option (List Seed) :=
      if input.startsWith "seeds: " then
        let input := input.drop 7
        let input := String.trim <$> input.split Char.isWhitespace
        let numbers := input.mapM String.toNat?
        List.map NatId.fromNat <$> numbers
      else
        none
    
    private def parseMapping {α β : Type} [NatId α] [NatId β] (input : String) : Option $ Mapping α β := do
      let input := String.trim <$> input.split Char.isWhitespace
      let nums ← input.mapM String.toNat?
      match nums with
      | [a,b,c] => some $ {inputStart := NatId.fromNat b, outputStart := NatId.fromNat a, length := c}
      | _ => none
    
    private def Mapping.overlap {α β : Type} [NatId α] [NatId β] (a : Mapping α β) (b : Mapping α β) : Bool :=
      let aStart := NatId.toNat $ a.inputStart
      let aEnd := aStart + a.length
      let bStart := NatId.toNat $ b.inputStart
      let bEnd := bStart + b.length
      (bStart ≥ aStart && bStart < aEnd)
       || (bEnd > aStart && bEnd ≤ aEnd)
       || (aStart ≥ bStart && aStart < bEnd)
       || (aEnd > bStart && aEnd ≤ bEnd)
    
    private def parseMappings (α β : Type) [NatId α] [NatId β] (input : String) (header : String) : Option $ Mappings α β :=
      if input.startsWith header then
        let lines := String.trim <$> input.splitOn "\n" |> List.drop 1 |> List.filter (not ∘ String.isEmpty)
        let mappings := lines.mapM parseMapping
        let rec overlapHelper := λ (a : List $ Mapping α β) ↦ match a with
          | [] => false
          | a :: as => as.any (λ b ↦ a.overlap b) || overlapHelper as
        let mappings := mappings.filter $ not ∘ overlapHelper --make sure no ranges overlap. That would be faulty
        Mappings.mk <$> mappings
      else
       none
    
    def parse (input : String) : Option ((List Seed) × Almanach) := do
      let blocks := input.splitOn "\n\n" |> List.filter (not ∘ String.isEmpty)
      let blocks := String.trim <$> blocks
      if let [seeds, seedToSoil, soilToFertilizer, fertilizerToWater, waterToLight, lightToTemperature, temperatureToHumidity, humidityToLocation] := blocks then
        let seeds ← parseSeeds seeds
        let seedToSoil ← parseMappings Seed Soil seedToSoil "seed-to-soil map:"
        let soilToFertilizer ← parseMappings Soil Fertilizer soilToFertilizer "soil-to-fertilizer map:"
        let fertilizerToWater ← parseMappings Fertilizer Water fertilizerToWater "fertilizer-to-water map:"
        let waterToLight ← parseMappings Water Light waterToLight "water-to-light map:"
        let lightToTemperature ← parseMappings Light Temperature lightToTemperature "light-to-temperature map:"
        let temperatureToHumidity ← parseMappings Temperature Humidity temperatureToHumidity "temperature-to-humidity map:"
        let humidityToLocation ← parseMappings Humidity Location humidityToLocation "humidity-to-location map:"
        (seeds, {
          seedsToSoil := seedToSoil
          soilToFertilizer := soilToFertilizer
          fertilizerToWater := fertilizerToWater
          waterToLight := waterToLight
          lightToTemperature := lightToTemperature
          temperatureToHumidity := temperatureToHumidity
          humidityToLocation := humidityToLocation
        : Almanach})
      else
        none
    
    def part1 (input : ((List Seed) × Almanach)) : Option Nat :=
      let a := input.snd
      let seedToLocation  := a.humidityToLocation.apply
                          ∘ a.temperatureToHumidity.apply
                          ∘ a.lightToTemperature.apply
                          ∘ a.waterToLight.apply
                          ∘ a.fertilizerToWater.apply
                          ∘ a.soilToFertilizer.apply
                          ∘ a.seedsToSoil.apply
      let locations := input.fst.map seedToLocation
      NatId.toNat <$> locations.minimum?
    
  • morrowind@lemmy.ml
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    11 months ago

    CRYSTAL

    finally solved part 2, and in just 1 second :)))

    Input = File.read("input.txt").lines
    
    # {source, destination}
    alias Map = Tuple(Range(Int64, Int64), Range(Int64, Int64))
    
    Maps = Array(Array(Map)).new(7)
    index = 1
    7.times do |i| 
    	a, index = get_ranges(index + 2)
    	Maps << a
    end
    
    part2
    # part1
    
    def part1()
    	seeds = Input[0].split(":")[1].split.map(&.to_i64)
    	locs = Array(Int64).new(7)
    	
    	seeds.each do |seed|
    		val = seed
    		Maps.each do |maplist|
    			maplist.each do |map|
    				if map[0].includes?(val)
    					val = map[1].begin + (val - map[0].begin)
    					break
    		end     end     end
    		locs << val
    	end
    	puts locs.min
    end
    
    def part2()
    	seeds = Input[0].split(":")[1].split.map(&.to_i64)
    	seeds = seeds.in_groups_of(2, 0).map { |a| a[0]..(a[0]+a[1]) }
    
    	found = false
    	loc = 0
    	until found 
    		val = loc
    		Maps.reverse_each do |maplist|
    			maplist.each do |map|
    				if map[1].includes?(val)
    					val = map[0].begin + (val - map[1].begin)
    					break
    		end     end     end
    
    		seeds.each { |seedrange| break if found = seedrange.includes?(val) }
    		loc += 1
    	end
    	puts loc - 1
    end
    
    def get_ranges(index : Int) : {Array(Map), Int32}
    	line = Input[index]
    	ranges = [] of Map
    	until line == ""
    		a, b, l = line.split.map(&.to_i64)
    		ranges << {b...(b+l), a...(a+l)}
    		
    		index += 1
    		break if index == Input.size
    		line = Input[index]
    	end
    	{ranges, index}
    end
    
  • cacheson@kbin.social
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    11 months ago

    Nim

    Woof. Part 1 was simple enough. I thought I could adapt my solution to part 2 pretty easily, just add all the values in the ranges to the starting set. Worked fine for the example, but the ranges for the actual input are too large. Ended up taking 16gb of RAM and crunching forever.

    I finally abandoned my quick and dirty approach when rewriting part 2, and made some proper types and functions. Treated each range as an object, and used set operations on them. The difference operation tends to fragment the range that it’s used on, so I meant to write some code to defragment the ranges after each round of mappings. Forgot to do so, but the code ran quick enough this time anyway.

    • janAkali@lemmy.one
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      11 months ago

      Treated each range as an object, and used set operations on them

      That’s smart. Honestly, I don’t understand how it works. 😅

      The difference operation tends to fragment the range that it’s used on, so I meant to write some code to defragment the ranges after each round of mappings. Forgot to do so, but the code ran quick enough this time anyway.

      I’ve got different solution from yours, but this part is the same, lol. My code slices the ranges into 1-3 parts on each step, so I also planned to ‘defragment’ them. But performance is plenty without this step, ~450 microseconds for both parts on my PC.

      • cacheson@kbin.social
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        11 months ago

        Treated each range as an object, and used set operations on them

        That’s smart. Honestly, I don’t understand how it works. 😅

        “Set operations” should probably be in quotes. I just mean that I implemented the * (intersection) and - (difference) operators for my ValueRange type. The intersection operator works like it does for sets, just returning the overlap. The difference operator has to work a little differently, because ranges have to be contiguous, whereas sets don’t, so it returns a sequence of ValueRange objects.

        My ValueMapping type uses a ValueRange for it’s source, so applying it to a range just involves using the intersection operator to determine what part of the range needs to move, and the difference operator to determine which parts are left.

        • janAkali@lemmy.one
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          11 months ago

          Well, then we have the same solution but coded very differently. Here’s mine.

          ruleApplied is one function with almost all logic. I take a range and compare it to a rule’s source range (50 98 2 is a rule). Overlaps get transformed and collected into the first sequence and everything that left goes in the second. I need two seqs there, for transformed values to skip next rules in the same map.

          Repeat for each rule and each map (seq[Rule]). And presto, it’s working!

          • cacheson@kbin.social
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            11 months ago

            Yeah, roughly the same idea. I guess I could have just used HSlice for my range type, I thought maybe there was some special magic to it.

            It looks like your if-else ladder misses a corner case, where one range only intersects with the first or last element of the other. Switching to <= and >= for those should take care of it though.