We need to start a GOOD (aka, not a PLEAC clone) Haskell cookbook.
This page is based on the Scheme Cookbook at http://schemecookbook.org/Cookbook/WebHome
- 1 Prelude
- 2 GHCi/Hugs
- 3 Types
- 4 Strings
- 5 Numbers
- 6 Dates and time
- 7 Lists
- 8 Pattern matching
- 9 Files
- 10 Data structures
- 11 Network programming
- 12 XML
- 13 Databases
- 14 Graphical user interfaces
- 15 FFI
- 16 Testing
A lot of functions are defined in the "Prelude". Also, if you ever want to search for a function, based on the name, type or module, take a look at the excellent Hoogle. This is for a lot of people a must-have while debugging and writing Haskell programs.
To start GHCi from a command prompt, simply type `ghci'
$ ghci ___ ___ _ / _ \ /\ /\/ __(_) / /_\// /_/ / / | | GHC Interactive, version 6.6, for Haskell 98. / /_\\/ __ / /___| | http://www.haskell.org/ghc/ \____/\/ /_/\____/|_| Type :? for help. Loading package base ... linking ... done. Prelude>
Prelude is the "base" library of Haskell.
To create variables at the GHCi prompt, use `let'
Prelude> let x = 5 Prelude> x 5 Prelude> let y = 3 Prelude> y 3 Prelude> x + y 8
To check the type of an expression or function, use the command `:t'
Prelude> :t x x :: Integer Prelude> :t y y :: Integer
Haskell has the following types defined in the Standard Prelude.
Int -- bounded, word-sized integers Integer -- unbounded integers Double -- floating point values Char -- characters String -- strings are lists of characters () -- the unit type Bool -- booleans [a] -- lists (a,b) -- tuples / product types Either a b -- sum types Maybe a -- optional values
Strings can be read as input using getLine.
Prelude> getLine Foo bar baz "Foo bar baz"
Strings can be output in a number of different ways.
Prelude> putStr "Foo" FooPrelude>
As you can see, putStr does not include the newline character `\n'. We can either use putStr like this:
Prelude> putStr "Foo\n" Foo
Or use putStrLn, which is already in the Standard Prelude
Prelude> putStrLn "Foo" Foo
We can also use print to print a string, including the quotation marks.
Prelude> print "Foo" "Foo"
Concatenation of strings (or any other list) is done with the `++' operator.
Prelude> "foo" ++ "bar" "foobar"
Numbers in Haskell can be of the type
Int, Integer, Float, Double, or Rational.
Dates and time
Use System.Time.getClockTime to get a properly formatted date stamp.
Prelude> System.Time.getClockTime Wed Feb 21 20:05:35 CST 2007
Use System.CPUTime.getCPUTime to get the CPU time in picoseconds.
You can time a computation like this
getCPUTimeDouble :: IO Double getCPUTimeDouble = do t <- System.CPUTime.getCPUTime; return (fromInteger t) * 1e-12 main = do t1 <- getCPUTimeDouble print (fib 30) t2 <- getCPUTimeDouble print (t2-t1)
In Haskell, lists are what Arrays are in most other languages. Haskell has all of the general list manipulation functions, see also
Prelude> head [1,2,3] 1 Prelude> tail [1,2,3] [2,3] Prelude> length [1,2,3] 3
Furthermore, Haskell supports some neat concepts.
The list of all squares:
square x = x*x squares = map square [1..]
But in the end, you probably don't want to use infinite lists, but make them finite. You can do this with
Prelude> take 10 squares [1,4,9,16,25,36,49,64,81,100]
The list of all squares can also be written in a more comprehensive way, using list comprehensions:
squares = [x*x | x <- [1..]]
Haskell does implicit pattern matching.
A good example of pattern matching is done in the fact function for finding a factorial.
fact :: Integer -> Integer fact 0 = 1 fact n = n * fact (n - 1)
In this function,
fact :: Integer -> Integer is the functions type definition.
The next line,
fact 0 = 1 is a pattern match, so when the argument to the function fact is 0, the return value is 1.
The 3rd and final line of this function is another pattern match, which says that, whatever number was entered as the argument, is multiplied by the factorial of that number, minus 1. Notice this function is recursive.
Pattern matching in Haskell evaluates the patterns in the order they are written, so
fact 0 = 1 is evaluated before
fact n = n * fact (n - 1).
interact :: (String -> String) -> IO (), you can easily do things with stdin and stdout.
A program to sum up numbers:
main = interact $ show . sum . map read . lines
A program that adds line numbers to each line:
main = interact numberLines numberLines = unlines . zipWith combine [1..] . lines where combine lineNumber text = concat [show lineNumber, " ", text]
Reading from files
The System.IO library contains the functions needed for file IO. The program below displays the contents of the file c:\test.txt.
import System.IO main = do h <- openFile "c:\\test.txt" ReadMode contents <- hGetContents h putStrLn contents hClose h
The same program, with some higher-lever functions:
main = do contents <- readFile "c:\\test.txt" putStrLn contents
Writing to files
The following program writes the first 100 squares to a file:
-- generate a list of squares with length 'num' in string-format. numbers num = unlines $ take num $ map (show . \x -> x*x) [1..] main = do writeFile "test.txt" (numbers 100) putStrLn "successfully written"
This will override the old contents of the file, or create a new file if the file doesn't exist yet. If you want to append to a file, you can use
Logging to a file
GHC comes with some handy data-structures by default. If you want to use a Map, use Data.Map. For sets, you can use Data.Set. A good way to find efficient data-structures is to take a look at the hierarchical libraries, see Haskell Hierarchical Libraries and scroll down to 'Data'.
Arrays are generally eschewed in Haskell. However, they are useful if you desperately need constant lookup or update or if you have huge amounts of raw data.
Immutable arrays like
Data.Array.IArray.Array i e offer lookup in constant time but they get copied when you update an element. Use them if they can be filled in one go.
The following example groups a list of numbers according to their residual after division by
n in one go.
bucketByResidual :: Int -> [Int] -> Array Int [Int] bucketByResidual n xs = accumArray (\xs x -> x:xs)  (0,n-1) [(x `mod` n, x) | x <- xs] Data.Arra.IArray> bucketByResidual 4 [x*x | x <- [1..10]] array (0,3) [(0,[100,64,36,16,4]),(1,[81,49,25,9,1]),(2,),(3,)] Data.Arra.IArray> amap reverse it array (0,3) [(0,[4,16,36,64,100]),(1,[1,9,25,49,81]),(2,),(3,)]
Note that the array can fill itself up in a circular fashion. Useful for dynamic programming. Here is the edit distance between two strings without array updates.
editDistance :: Eq a => [a] -> [a] -> Int editDistance xs ys = table ! (m,n) where (m,n) = (length xs, length ys) x = array (1,m) (zip [1..] xs) y = array (1,n) (zip [1..] ys) table :: Array (Int,Int) Int table = array bnds [(ij, dist ij) | ij <- range bnds] bnds = ((0,0),(m,n)) dist (0,j) = j dist (i,0) = i dist (i,j) = minimum [table ! (i-1,j) + 1, table ! (i,j-1) + 1, if x ! i == y ! j then table ! (i-1,j-1) else table ! (i-1,j-1)]
Mutable arrays like
Data.Array.IO.IOArray i e are updated in place, but they have to live in the IO-monad or the ST-monad in order to not destroy referential transparency. There are also diff arrays like
Data.Array.Diff.DiffArray i e that look like immutable arrays but do updates in place if used in a single threaded way. Here is depth first search with diff arrays that checks whether a directed graph contains a cycle. Note: this example really belongs to Map or Set.
import Control.Monad.State type Node = Int data Color = White | Grey | Black hasCycle :: Array Node [Node] -> Bool hasCycle graph = runState (mapDfs $ indices g) initSeen where initSeen :: DiffArray Node Color initSeen = listArray (bounds graph) (repeat White) mapDfs = fmap or . mapM dfs dfs node = get >>= \seen -> case (seen ! node) of Black -> return False Grey -> return True -- we found a cycle White -> do modify $ \seen -> seen // [(node,Grey )] found <- mapDfs (graph ! node) modify $ \seen -> seen // [(node,Black)] return found