-- | Partitions of integers. -- Integer partitions are nonincreasing sequences of positive integers. -- -- See: -- -- * Donald E. Knuth: The Art of Computer Programming, vol 4, pre-fascicle 3B. -- -- * -- -- For example the partition -- -- > Partition [8,6,3,3,1] -- -- can be represented by the (English notation) Ferrers diagram: -- -- <> -- {-# LANGUAGE CPP, BangPatterns, ScopedTypeVariables #-} module Math.Combinat.Partitions.Integer ( -- module Math.Combinat.Partitions.Integer.Count module Math.Combinat.Partitions.Integer.Naive -- * Types and basic stuff , Partition -- * Conversion to\/from lists , fromPartition , mkPartition , toPartition , toPartitionUnsafe , isPartition -- * Union and sum , unionOfPartitions , sumOfPartitions -- * Generating partitions , partitions , partitions' , allPartitions , allPartitionsGrouped , allPartitions' , allPartitionsGrouped' -- * Counting partitions , countPartitions , countPartitions' , countAllPartitions , countAllPartitions' , countPartitionsWithKParts -- * Random partitions , randomPartition , randomPartitions -- * Dominating \/ dominated partitions , dominatedPartitions , dominatingPartitions -- * Partitions with given number of parts , partitionsWithKParts -- * Partitions with only odd\/distinct parts , partitionsWithOddParts , partitionsWithDistinctParts -- * Sub- and super-partitions of a given partition , subPartitions , allSubPartitions , superPartitions -- * ASCII Ferrers diagrams , PartitionConvention(..) , asciiFerrersDiagram , asciiFerrersDiagram' ) where -------------------------------------------------------------------------------- import Data.List import Control.Monad ( liftM , replicateM ) -- import Data.Map (Map) -- import qualified Data.Map as Map import Math.Combinat.Classes import Math.Combinat.ASCII as ASCII import Math.Combinat.Numbers (factorial,binomial,multinomial) import Math.Combinat.Helper import Data.Array import System.Random import Math.Combinat.Partitions.Integer.Naive import Math.Combinat.Partitions.Integer.IntList import Math.Combinat.Partitions.Integer.Count --------------------------------------------------------------------------------- -- * Conversion to\/from lists fromPartition :: Partition -> [Int] fromPartition (Partition_ part) = part -- | Sorts the input, and cuts the nonpositive elements. mkPartition :: [Int] -> Partition mkPartition xs = toPartitionUnsafe $ sortBy (reverseCompare) $ filter (>0) xs -- | Checks whether the input is an integer partition. See the note at 'isPartition'! toPartition :: [Int] -> Partition toPartition xs = if isPartition xs then toPartitionUnsafe xs else error "toPartition: not a partition" -- | Assumes that the input is decreasing. toPartitionUnsafe :: [Int] -> Partition toPartitionUnsafe = Partition_ -- | This returns @True@ if the input is non-increasing sequence of -- /positive/ integers (possibly empty); @False@ otherwise. -- isPartition :: [Int] -> Bool isPartition [] = True isPartition [x] = x > 0 isPartition (x:xs@(y:_)) = (x >= y) && isPartition xs -------------------------------------------------------------------------------- -- * Union and sum -- | This is simply the union of parts. For example -- -- > Partition [4,2,1] `unionOfPartitions` Partition [4,3,1] == Partition [4,4,3,2,1,1] -- -- Note: This is the dual of pointwise sum, 'sumOfPartitions' -- unionOfPartitions :: Partition -> Partition -> Partition unionOfPartitions (Partition_ xs) (Partition_ ys) = mkPartition (xs ++ ys) -- | Pointwise sum of the parts. For example: -- -- > Partition [3,2,1,1] `sumOfPartitions` Partition [4,3,1] == Partition [7,5,2,1] -- -- Note: This is the dual of 'unionOfPartitions' -- sumOfPartitions :: Partition -> Partition -> Partition sumOfPartitions (Partition_ xs) (Partition_ ys) = Partition_ (longZipWith 0 0 (+) xs ys) -------------------------------------------------------------------------------- -- * Generating partitions -- | Partitions of @d@. partitions :: Int -> [Partition] partitions = map toPartitionUnsafe . _partitions -- | Partitions of d, fitting into a given rectangle. The order is again lexicographic. partitions' :: (Int,Int) -- ^ (height,width) -> Int -- ^ d -> [Partition] partitions' hw d = map toPartitionUnsafe $ _partitions' hw d -------------------------------------------------------------------------------- -- | All integer partitions up to a given degree (that is, all integer partitions whose sum is less or equal to @d@) allPartitions :: Int -> [Partition] allPartitions d = concat [ partitions i | i <- [0..d] ] -- | All integer partitions up to a given degree (that is, all integer partitions whose sum is less or equal to @d@), -- grouped by weight allPartitionsGrouped :: Int -> [[Partition]] allPartitionsGrouped d = [ partitions i | i <- [0..d] ] -- | All integer partitions fitting into a given rectangle. allPartitions' :: (Int,Int) -- ^ (height,width) -> [Partition] allPartitions' (h,w) = concat [ partitions' (h,w) i | i <- [0..d] ] where d = h*w -- | All integer partitions fitting into a given rectangle, grouped by weight. allPartitionsGrouped' :: (Int,Int) -- ^ (height,width) -> [[Partition]] allPartitionsGrouped' (h,w) = [ partitions' (h,w) i | i <- [0..d] ] where d = h*w --------------------------------------------------------------------------------- -- * Random partitions -- | Uniformly random partition of the given weight. -- -- NOTE: This algorithm is effective for small @n@-s (say @n@ up to a few hundred \/ one thousand it should work nicely), -- and the first time it is executed may be slower (as it needs to build the table of partitions counts first) -- -- Algorithm of Nijenhuis and Wilf (1975); see -- -- * Knuth Vol 4A, pre-fascicle 3B, exercise 47; -- -- * Nijenhuis and Wilf: Combinatorial Algorithms for Computers and Calculators, chapter 10 -- randomPartition :: RandomGen g => Int -> g -> (Partition, g) randomPartition n g = (p, g') where ([p], g') = randomPartitions 1 n g -- | Generates several uniformly random partitions of @n@ at the same time. -- Should be a little bit faster then generating them individually. -- randomPartitions :: forall g. RandomGen g => Int -- ^ number of partitions to generate -> Int -- ^ the weight of the partitions -> g -> ([Partition], g) randomPartitions howmany n = runRand $ replicateM howmany (worker n []) where cnt = countPartitions finish :: [(Int,Int)] -> Partition finish = mkPartition . concatMap f where f (j,d) = replicate j d fi :: Int -> Integer fi = fromIntegral find_jd :: Int -> Integer -> (Int,Int) find_jd m capm = go 0 [ (j,d) | j<-[1..n], d<-[1..div m j] ] where go :: Integer -> [(Int,Int)] -> (Int,Int) go !s [] = (1,1) -- ?? go !s [jd] = jd -- ?? go !s (jd@(j,d):rest) = if s' > capm then jd else go s' rest where s' = s + fi d * cnt (m - j*d) worker :: Int -> [(Int,Int)] -> Rand g Partition worker 0 acc = return $ finish acc worker !m acc = do capm <- randChoose (0, (fi m) * cnt m - 1) let jd@(!j,!d) = find_jd m capm worker (m - j*d) (jd:acc) -------------------------------------------------------------------------------- -- * Dominating \/ dominated partitions -- | Lists all partitions of the same weight as @lambda@ and also dominated by @lambda@ -- (that is, all partial sums are less or equal): -- -- > dominatedPartitions lam == [ mu | mu <- partitions (weight lam), lam `dominates` mu ] -- dominatedPartitions :: Partition -> [Partition] dominatedPartitions (Partition_ lambda) = map Partition_ (_dominatedPartitions lambda) -- | Lists all partitions of the sime weight as @mu@ and also dominating @mu@ -- (that is, all partial sums are greater or equal): -- -- > dominatingPartitions mu == [ lam | lam <- partitions (weight mu), lam `dominates` mu ] -- dominatingPartitions :: Partition -> [Partition] dominatingPartitions (Partition_ mu) = map Partition_ (_dominatingPartitions mu) -------------------------------------------------------------------------------- -- * Partitions with given number of parts -- | Lists partitions of @n@ into @k@ parts. -- -- > sort (partitionsWithKParts k n) == sort [ p | p <- partitions n , numberOfParts p == k ] -- -- Naive recursive algorithm. -- partitionsWithKParts :: Int -- ^ @k@ = number of parts -> Int -- ^ @n@ = the integer we partition -> [Partition] partitionsWithKParts k n = map Partition_ $ go n k n where {- h = max height k = number of parts n = integer -} go !h !k !n | k < 0 = [] | k == 0 = if h>=0 && n==0 then [[] ] else [] | k == 1 = if h>=n && n>=1 then [[n]] else [] | otherwise = [ a:p | a <- [1..(min h (n-k+1))] , p <- go a (k-1) (n-a) ] -------------------------------------------------------------------------------- -- * Partitions with only odd\/distinct parts -- | Partitions of @n@ with only odd parts partitionsWithOddParts :: Int -> [Partition] partitionsWithOddParts d = map Partition_ (go d d) where go _ 0 = [[]] go !h !n = [ a:as | a<-[1,3..min n h], as <- go a (n-a) ] {- -- | Partitions of @n@ with only even parts -- -- Note: this is not very interesting, it's just @(map.map) (2*) $ _partitions (div n 2)@ -- partitionsWithEvenParts :: Int -> [Partition] partitionsWithEvenParts d = map Partition (go d d) where go _ 0 = [[]] go !h !n = [ a:as | a<-[2,4..min n h], as <- go a (n-a) ] -} -- | Partitions of @n@ with distinct parts. -- -- Note: -- -- > length (partitionsWithDistinctParts d) == length (partitionsWithOddParts d) -- partitionsWithDistinctParts :: Int -> [Partition] partitionsWithDistinctParts d = map Partition_ (go d d) where go _ 0 = [[]] go !h !n = [ a:as | a<-[1..min n h], as <- go (a-1) (n-a) ] -------------------------------------------------------------------------------- -- * Sub- and super-partitions of a given partition -- | Sub-partitions of a given partition with the given weight: -- -- > sort (subPartitions d q) == sort [ p | p <- partitions d, isSubPartitionOf p q ] -- subPartitions :: Int -> Partition -> [Partition] subPartitions d (Partition_ ps) = map Partition_ (_subPartitions d ps) -- | All sub-partitions of a given partition allSubPartitions :: Partition -> [Partition] allSubPartitions (Partition_ ps) = map Partition_ (_allSubPartitions ps) -- | Super-partitions of a given partition with the given weight: -- -- > sort (superPartitions d p) == sort [ q | q <- partitions d, isSubPartitionOf p q ] -- superPartitions :: Int -> Partition -> [Partition] superPartitions d (Partition_ ps) = map toPartitionUnsafe (_superPartitions d ps) -------------------------------------------------------------------------------- -- * ASCII Ferrers diagrams -- | Which orientation to draw the Ferrers diagrams. -- For example, the partition [5,4,1] corrsponds to: -- -- In standard English notation: -- -- > @@@@@ -- > @@@@ -- > @ -- -- -- In English notation rotated by 90 degrees counter-clockwise: -- -- > @ -- > @@ -- > @@ -- > @@ -- > @@@ -- -- -- And in French notation: -- -- -- > @ -- > @@@@ -- > @@@@@ -- -- data PartitionConvention = EnglishNotation -- ^ English notation | EnglishNotationCCW -- ^ English notation rotated by 90 degrees counterclockwise | FrenchNotation -- ^ French notation (mirror of English notation to the x axis) deriving (Eq,Show) -- | Synonym for @asciiFerrersDiagram\' EnglishNotation \'\@\'@ -- -- Try for example: -- -- > autoTabulate RowMajor (Right 8) (map asciiFerrersDiagram $ partitions 9) -- asciiFerrersDiagram :: Partition -> ASCII asciiFerrersDiagram = asciiFerrersDiagram' EnglishNotation '@' asciiFerrersDiagram' :: PartitionConvention -> Char -> Partition -> ASCII asciiFerrersDiagram' conv ch part = ASCII.asciiFromLines (map f ys) where f n = replicate n ch ys = case conv of EnglishNotation -> fromPartition part EnglishNotationCCW -> reverse $ fromPartition $ dualPartition part FrenchNotation -> reverse $ fromPartition $ part instance DrawASCII Partition where ascii = asciiFerrersDiagram --------------------------------------------------------------------------------