# 99 questions/90 to 94

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m (deleted my shorter but inferior solution 93) |
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## Revision as of 13:46, 13 December 2006

These are Haskell translations of Ninety Nine Lisp Problems,
which are themselves translations of Ninety-Nine Prolog Problems.

If you want to work on one of these, put your name in the block so we know someone's working on it. Then, change n in your block to the appropriate problem number, and fill in the <Problem description>,<example in lisp>,<example in Haskell>,<solution in haskell> and <description of implementation> fields.

## 1 Miscellaneous problems

## 2 Problem 90

Eight queens problem

This is a classical problem in computer science. The objective is to place eight queens on a chessboard so that no two queens are attacking each other; i.e., no two queens are in the same row, the same column, or on the same diagonal.

Hint: Represent the positions of the queens as a list of numbers 1..N. Example: [4,2,7,3,6,8,5,1] means that the queen in the first column is in row 4, the queen in the second column is in row 2, etc. Use the generate-and-test paradigm.

Example in Haskell: > length queens 92 > take 1 queens [[4,2,7,3,6,8,5,1]]

Solution:

queens = queens' 8 queens' 0 = [[]] queens' (n+1) = [ try:alreadySet | alreadySet <- queens' n, try <- [1..8], isSafe try alreadySet] where isSafe try alreadySet = not (sameRow try alreadySet || sameDiagonal try alreadySet) sameRow try alreadySet = try `elem` alreadySet sameDiagonal try alreadySet = any (\(col,q) -> abs(try - q) == col) $ zip [1..] alreadySet

By definition/data representation no two queens can occupy the same column. "try `elem` alreadySet" checks for a queen in the same row, "abs(try - q) == col" checks for a queen in the same diagonal.

This is a modification of a function I wrote when I was just learning haskell, so there's certainly much to improve here! For one thing there is speedup potential in caching "blocked" rows, columns and diagonals.

## 3 Problem 91

<Problem description>

Example: <example in lisp> Example in Haskell: <example in Haskell>

Solution:

<solution in haskell>

<description of implementation>

## 4 Problem 92

<Problem description>

Example: <example in lisp> Example in Haskell: <example in Haskell>

Solution:

<solution in haskell>

<description of implementation>

## 5 Problem 93

An arithmetic puzzle

Given a list of integer numbers, find a correct way of inserting arithmetic signs (operators) such that the result is a correct equation. Example: With the list of numbers [2,3,5,7,11] we can form the equations 2-3+5+7 = 11 or 2 = (3*5+7)/11 (and ten others!).

Example in Haskell:

P93> putStr $ unlines $ puzzle [2,3,5,7,11] 2 = 3-(5+7-11) 2 = 3-5-(7-11) 2 = 3-(5+7)+11 2 = 3-5-7+11 2 = (3*5+7)/11 2*(3-5) = 7-11 2-(3-(5+7)) = 11 2-(3-5-7) = 11 2-(3-5)+7 = 11 2-3+5+7 = 11

The other two solutions alluded to in the problem description are dropped by the Haskell solution as trivial variants:

2 = 3-(5+(7-11)) 2-3+(5+7) = 11

Solution:

module P93 where import Control.Monad import Data.List import Data.Maybe type Equation = (Expr, Expr) -- cache value in binary expression data Expr = Const Integer | Binary Value Expr Op Expr deriving (Eq, Show) data Op = Plus | Minus | Multiply | Divide deriving (Bounded, Eq, Enum, Show) type Value = Rational -- top-level function: all correct equations generated from the list of -- numbers, as pretty strings. puzzle :: [Integer] -> [String] puzzle ns = map (flip showsEquation "") (equations ns) -- generate all correct equations from the list of numbers equations :: [Integer] -> [Equation] equations [] = error "empty list of numbers" equations [n] = error "only one number" equations ns = [(e1, e2) | (ns1, ns2) <- splits ns, e1 <- exprs ns1, e2 <- exprs ns2, value e1 == value e2] -- generate all expressions from the numbers, except those containing -- a division by zero, or redundant right-associativity. exprs :: [Integer] -> [Expr] exprs [n] = [Const n] exprs ns = [Binary n e1 op e2 | (ns1, ns2) <- splits ns, e1 <- exprs ns1, e2 <- exprs ns2, op <- [minBound..maxBound], not (right_associative op e2), n <- maybeToList (apply op (value e1) (value e2))] -- splittings of a list into two non-empty lists splits :: [a] -> [([a],[a])] splits xs = tail (init (zip (inits xs) (tails xs))) -- the cached values of an expression value :: Expr -> Value value (Const n) = fromInteger n value (Binary n _ _ _) = n -- applying an operator to arguments may fail (division by zero) apply :: Op -> Value -> Value -> Maybe Value apply Plus x y = Just (x + y) apply Minus x y = Just (x - y) apply Multiply x y = Just (x * y) apply Divide x 0 = Nothing apply Divide x y = Just (x / y) -- e1 op (e2 op' e3) == (e1 op e2) op' e3 right_associative :: Op -> Expr -> Bool right_associative Plus (Binary _ _ Plus _) = True right_associative Plus (Binary _ _ Minus _) = True right_associative Multiply (Binary _ _ Multiply _) = True right_associative Multiply (Binary _ _ Divide _) = True right_associative _ _ = False -- Printing of equations and expressions showsEquation :: Equation -> ShowS showsEquation (l, r) = showsExprPrec 0 l . showString " = " . showsExprPrec 0 r -- all operations are left associative showsExprPrec :: Int -> Expr -> ShowS showsExprPrec _ (Const n) = shows n showsExprPrec p (Binary _ e1 op e2) = showParen (p > op_prec) $ showsExprPrec op_prec e1 . showString (opName op) . showsExprPrec (op_prec+1) e2 where op_prec = precedence op precedence :: Op -> Int precedence Plus = 6 precedence Minus = 6 precedence Multiply = 7 precedence Divide = 7 opName :: Op -> String opName Plus = "+" opName Minus = "-" opName Multiply = "*" opName Divide = "/"

I've used rational division, because that's what the Prolog solution does.
Unlike the Prolog solution, I've eliminated solutions like
`"1+(2+3) = 6"` as a trivial variant of `"1+2+3 = 6"` (cf the function `right_associative`).
Apart from that, the Prolog solution is shorter because it uses built-in evaluation and printing of expressions.

## 6 Problem 94

<Problem description>

Example: <example in lisp> Example in Haskell: <example in Haskell>

Solution:

<solution in haskell>

<description of implementation>

## 7 Problem 95

English number words

On financial documents, like cheques, numbers must sometimes be written in full words. Example: 175 must be written as one-seven-five. Write a predicate full-words/1 to print (non-negative) integer numbers in full words.

Example in Haskell: > numbers 175 one-seven-five

Solution:

import Data.List import Data.Maybe numbers :: Integer -> String numbers n = concat . intersperse "-" . map (fromJust . (`lookup` table)) $ show n where table = [('0',"zero"), ('1',"one"), ('2',"two"), ('3',"three"), ('4',"four"), ('5',"five"), ('6',"six"), ('7',"seven"), ('8',"eight"), ('9',"nine")]

This solution does a simple table lookup after converting the positive integer into a string. Thus dividing into digits is much simplified.

## 8 Problem 96

Syntax checker

In a certain programming language (Ada) identifiers are defined by the syntax diagram. Transform the syntax diagram into a system of syntax diagrams which do not contain loops; i.e. which are purely recursive. Using these modified diagrams, write a predicate identifier/1 that can check whether or not a given string is a legal identifier.

Example in Prolog: % identifier(Str) :- Str is a legal identifier Example in Haskell: > syntax_check "Str" True

Solution:

syntax_check [] = False syntax_check (x:xs) = letter x && loop xs where loop [] = True loop (x':xs') | x' == '-' = (not . null) xs' && (letter (head xs') || digit (head xs')) && loop (tail xs') | letter x' = loop xs' | digit x' = loop xs' | otherwise = False letter x = x `elem` (['a'..'z'] ++ ['A'..'Z']) digit x = x `elem` ['0'..'9']

Simple functional transcription of the diagram.

## 9 Problem 97

Sudoku

Sudoku puzzles go like this:

Problem statement Solution . . 4 | 8 . . | . 1 7 9 3 4 | 8 2 5 | 6 1 7 | | | | 6 7 . | 9 . . | . . . 6 7 2 | 9 1 4 | 8 5 3 | | | | 5 . 8 | . 3 . | . . 4 5 1 8 | 6 3 7 | 9 2 4 --------+---------+-------- --------+---------+-------- 3 . . | 7 4 . | 1 . . 3 2 5 | 7 4 8 | 1 6 9 | | | | . 6 9 | . . . | 7 8 . 4 6 9 | 1 5 3 | 7 8 2 | | | | . . 1 | . 6 9 | . . 5 7 8 1 | 2 6 9 | 4 3 5 --------+---------+-------- --------+---------+-------- 1 . . | . 8 . | 3 . 6 1 9 7 | 5 8 2 | 3 4 6 | | | | . . . | . . 6 | . 9 1 8 5 3 | 4 7 6 | 2 9 1 | | | | 2 4 . | . . 1 | 5 . . 2 4 6 | 3 9 1 | 5 7 8

Every spot in the puzzle belongs to a (horizontal) row and a (vertical) column, as well as to one single 3x3 square (which we call "square" for short). At the beginning, some of the spots carry a single-digit number between 1 and 9. The problem is to fill the missing spots with digits in such a way that every number between 1 and 9 appears exactly once in each row, in each column, and in each square.

Solutions: see Sudoku

## 10 Problem 98

<Problem description>

Example: <example in lisp> Example in Haskell: <example in Haskell>

Solution:

<solution in haskell>

<description of implementation>

## 11 Problem 99

Crossword puzzle

Given an empty (or almost empty) framework of a crossword puzzle and a set of words. The problem is to place the words into the framework.

The particular crossword puzzle is specified in a text file which first lists the words (one word per line) in an arbitrary order. Then, after an empty line, the crossword framework is defined. In this framework specification, an empty character location is represented by a dot (.). In order to make the solution easier, character locations can also contain predefined character values. The puzzle opposite is defined in the file p99a.dat, other examples are p99b.dat and p99d.dat. There is also an example of a puzzle (p99c.dat) which does not have a solution.

Words are strings (character lists) of at least two characters. A horizontal or vertical sequence of character places in the crossword puzzle framework is called a site. Our problem is to find a compatible way of placing words onto sites.

Hints: (1) The problem is not easy. You will need some time to thoroughly understand it. So, don't give up too early! And remember that the objective is a clean solution, not just a quick-and-dirty hack!

(2) Reading the data file is a tricky problem for which a solution is provided in the file p99-readfile.lisp. Use the predicate read_lines/2.

(3) For efficiency reasons it is important, at least for larger puzzles, to sort the words and the sites in a particular order. For this part of the problem, the solution of P28 may be very helpful.

Example in Haskell:

Solution:

type Word = String data LayoutPos = LayoutPos {coords :: [(Int,Int)], len :: Int} deriving (Show,Eq) data Desc = Desc {words :: [Word], layout :: [LayoutPos]} deriving (Show,Eq) word = do w <- many1 letter newline return w <?> "word" emptyLine = char '\n' <?> "emptyLine" layoutLine = do line <- many1 (oneOf [' ', '.']) newline return line <?> "layoutLine" description = do words <- manyTill word emptyLine layout <- manyTill layoutLine eof return $ Desc words (toLayout layout) <?> "description" --toLayout :: [String] -> Layout toLayout lines = find (index_it lines) ++ find (transpose . index_it $ lines) where find = map makePos . concat . map extractor extractor = filter ((>1) . length) . map (filter (('.'==) . snd)) . groupBy (\a b -> snd a == snd b) index_it = map (\(n,e) -> zip [(n,x) | x <- [1..]] e) . zip [1..] makePos xs = LayoutPos {coords = map fst xs, len = length xs} findCrossings lps = concat . nub . map commonSquares $ pairs where pairs = [(a,b) | a <- map coords lps, b <- map coords lps, a /= b] commonSquares (a,b) = [i | i <- a, j <- b, i == j] restrictToCrossings lps cross = map (\l@LayoutPos{coords = cs} -> l{coords = filter (`elem` cross) cs}) lps readDesc e = either (error . show) id (parse description "source" e) -- let lyt = layout . readDesc $ desc in restrictToCrossings lyt (findCrossings lyt) --desc = "WORD\nWORD\n\n . \n . \n.....\n . .\n . .\n .\n"

STILL FAR FROM FINISHED! feel free to radically alter/delete this.

The parser parses the input string (desc) into the words and layout. Easier/shorter than parsec would probably be 'splitAt "\n" . lines'

toLayout puts the layout lines into the LayoutPos datatype which contains the coordinates and orientation of word-blanks.

findCrossings find all overlapping coordinates between word-blanks.

restrictToCrossings restricts the coordinates in LayoutPos to overlapping ones, since these are the only ones (apart from blank length) that have to be considered during filling.

Now the real work begins and my code is already horridly bulky :(

See the prolog version of the problems for working links