Description
Infinitely deep trees for lazy stateless memoization.
Description
Please see the example in the documentation at https://vegowotenks.de/projects/Infinitree/
README.md
Infinitree
Memoization using Lazy Infinite trees indexed by natural numbers
Considerations
Using this data structure comes with trade-offs:
- It is impossible to evict data from the cache
- The cache is unbound in size
- Indexing can be done only using Natural Numbers
- Lookup is logarithmic in time and space
Usage
This is a rather constructed example.
fibonacci = Infinitree.build $ go
where
go 0 = 0
go 1 = 1
go n = Infinitree.index fibonacci (n - 1) + Infinitree.index fibonacci (n - 2)
It is also possible to use multiple levels of infinitrees, you can see an example of this in a solution to a puzzle from Advent Of Code 2024. The code below may be a spoiler if you're trying to do the puzzle linked above. It uses two layers of cache trees and may make a lot more sense after you've read the problem description.
{-# LANGUAGE MultiWayIf #-}
import Control.Arrow ( (>>>), Arrow((&&&)) )
import Data.Infinitree (Infinitree)
import Numeric.Natural (Natural)
import qualified Data.Infinitree as Infinitree
parse :: String -> [StoneNumber]
parse = words >>> map read
type StoneNumber = Natural
type StoneCount = Natural
type BlinkCount = Natural
lookupStoneCount :: BlinkCount -> StoneNumber -> StoneCount
lookupStoneCount i = Infinitree.index (Infinitree.index blinkTree i)
blinkTree :: Infinitree (Infinitree StoneCount)
blinkTree = Infinitree.build stoneTree
stoneTree :: Natural -> Infinitree StoneCount
stoneTree = Infinitree.build . countSplit
countSplit :: BlinkCount -> StoneNumber -> StoneCount
countSplit 0 _ = 1
countSplit i n = if
| n == 0 ->
lookupStoneCount (pred i) (succ n)
| even nDigits ->
lookupStoneCount (pred i) firstSplit + lookupStoneCount (pred i) secondSplit
| otherwise ->
lookupStoneCount (pred i) (n * 2024)
where
nDigits = digitCount n :: Int
secondSplit = n `mod` (10 ^ (nDigits `div` 2))
firstSplit = (n - secondSplit) `div` (10 ^ (nDigits `div` 2))
part1 :: [StoneNumber] -> StoneCount
part1 = map (lookupStoneCount 25)
>>> sum
part2 :: [StoneNumber] -> StoneCount
part2 = map (lookupStoneCount 75)
>>> sum
digitCount :: (Integral a, Integral b) => a -> b
digitCount = succ . floor . logBase 10 . fromIntegral
main :: IO ()
main = getContents
>>= print
. (part1 &&& part2)
. parse