# Toy compression implementations

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## 1 About

This code is provided in the hope that someone might find it interesting/entertaining, and to demonstrate what an excellent programming language Haskell truly is. (A working polymorphic LZW implementation in 10 lines? Try that in Java!)

This is 'toy' code. Please don't try to use it to compress multi-GB of data. It has not been thoroughly checked for correctness, and I shudder to think what the time and space complexity would be like! However, it is enlightening and entertaining to see how many algorithms you can implement with a handful of lines...

MathematicalOrchid 16:46, 15 February 2007 (UTC)

## 2 Main module

```module Compression where

import List
import Maybe
import IO (hFlush, stdout)

chars = [' '..'~']   -- Becuase ' ' = 0x20 and '~' = 0x7F.

-- Run-length encoding

encode_RLE :: (Eq t) => [t] -> [(Int,t)]
encode_RLE = map (\xs -> (length xs, head xs)) . groupBy (==)

decode_RLE :: [(Int,t)] -> [t]
decode_RLE = concatMap (uncurry replicate)

-- Limpel-Ziv-Welch encoding

encode_LZW :: (Eq t) => [t] -> [t] -> [Int]
encode_LZW alphabet = work (map (:[]) alphabet) where
chunk pred lst = last . takeWhile (pred . fst) . tail \$ zip (inits lst) (tails lst)
work table []  = []
work table lst = fromJust (elemIndex tok table) : work (table ++ [tok ++ [head rst]]) rst
where (tok, rst) = chunk (`elem` table) lst

decode_LZW :: [t] -> [Int] -> [t]
decode_LZW alphabet xs = concat output where
output = map (table !!) xs
table = map (:[]) alphabet ++ zipWith (++) output (map (take 1) (tail output))

main = do x <- take 20000 `fmap` readFile "/usr/share/dict/words"
let l = length x `div` 80
a = ['\0' .. '\255']
eq a b | a == b    = putChar '=' >> hFlush stdout
| otherwise = error "data error"
cmp = zipWith eq x . decode_LZW a . encode_LZW a \$ x
vl = map head \$ unfoldr (\cm -> case cm of [] -> Nothing ; _ -> Just (splitAt l cm)) cmp
sequence_ vl```

Some examples are in order:

```> encode_RLE "AAAABBBBDDCCCCEEEGGFFFF"

[(4,'A'),(4,'B'),(2,'D'),(4,'C'),(3,'E'),(2,'G'),(4,'F')]

> decode_RLE [(4,'A'),(4,'B'),(2,'D'),(4,'C'),(3,'E'),(2,'G'),(4,'F')]

"AAAABBBBDDCCCCEEEGGFFFF"

> encode_LZW chars "This is just a simple test."

[52,72,73,83,0,97,0,74,85,83,84,0,65,0,83,73,77,80,76,69,0,84,69,104,14]

> decode_LZW chars [52,72,73,83,0,97,0,74,85,83,84,0,65,0,83,73,77,80,76,69,0,84,69,104,14]

"This is just a simple test."```

## 3 Huffman coding

```module Huffman
(count, markov1, Tree, encode_huffman, decode_huffman)
where

import Data.List (nub)

-- Marvok1 probability model...

count :: (Eq t) => [t] -> [(t,Int)]
count xs = map (\x -> (x, length \$ filter (x ==) xs)) \$ nub xs

markov1 :: (Eq t) => [t] -> [(t,Double)]
markov1 xs =
let n = fromIntegral \$ length xs
in  map (\(x,c) -> (x, fromIntegral c / n)) \$ count xs

-- Build a Huffman tree...

data Tree t = Leaf Double t | Branch Double (Tree t) (Tree t) deriving Show

prob :: Tree t -> Double
prob (Leaf   p _)   = p
prob (Branch p _ _) = p

get_tree :: [Tree t] -> (Tree t, [Tree t])
get_tree (t:ts) = work t [] ts where
work x xs [] = (x,xs)
work x xs (y:ys)
| prob y < prob x = work y (x:xs) ys
| otherwise       = work x (y:xs) ys

huffman_build :: [(t,Double)] -> Tree t
huffman_build = build . map (\(t,p) -> Leaf p t) where
build [t] = t
build ts =
let (t0,ts0) = get_tree ts
(t1,ts1) = get_tree ts0
in  build \$ Branch (prob t0 + prob t1) t0 t1 : ts1

-- Make codebook...

data Bit  = Zero | One deriving (Eq, Show)
type Bits = [Bit]

huffman_codebook :: Tree t -> [(t,Bits)]
huffman_codebook = work [] where
work bs (Leaf _ x) = [(x,bs)]
work bs (Branch _ t0 t1) = work (bs ++ [Zero]) t0 ++ work (bs ++ [One]) t1

-- Do the coding!

encode :: (Eq t) => [(t,Bits)] -> [t] -> Bits
encode cb = concatMap (\x -> maybe undefined id \$ lookup x cb)

decode :: (Eq t) => Tree t -> Bits -> [t]
decode t = work t t where
work _ (Leaf   _ x)        []  = [x]
work t (Leaf   _ x)        bs  = x : work t t bs
work t (Branch _ t0 t1) (b:bs)
| b == Zero = work t t0 bs
| otherwise = work t t1 bs

encode_huffman :: (Eq t) => [t] -> (Tree t, Bits)
encode_huffman xs =
let t  = huffman_build \$ markov1 xs
bs = encode (huffman_codebook t) xs
in (t,bs)

decode_huffman :: (Eq t) => Tree t -> Bits -> [t]
decode_huffman = decode```

If anybody can make this code shorter / more elegant, feel free!

A short demo:

```> encode_huffman "this is just a simple test"
<loads of data>

> decode_huffman (fst it) (snd it)
"this is just a simple test"```