Difference between `(Integer a) => a -> Bool` and ` Integer -> Bool`? - function

I wrote my first program in Haskell today. It compiles and runs successfully. And since it is not a typical "Hello World" program, it in fact does much more than that, so please congrats me :D
Anyway, I've few doubts regarding my code, and the syntax in Haskell.
Problem:
My program reads an integer N from the standard input and then, for each integer i in the range [1,N], it prints whether i is a prime number or not. Currently it doesn't check for input error. :-)
Solution: (also doubts/questions)
To solve the problem, I wrote this function to test primality of an integer:
is_prime :: Integer -> Bool
is_prime n = helper n 2
where
helper :: Integer -> Integer -> Bool
helper n i
| n < 2 * i = True
| mod n i > 0 = helper n (i+1)
| otherwise = False
It works great. But my doubt is that the first line is a result of many hit-and-trials, as what I read in this tutorial didn't work, and gave this error (I suppose this is an error, though it doesn't say so):
prime.hs:9:13:
Type constructor `Integer' used as a class
In the type signature for `is_prime':
is_prime :: Integer a => a -> Bool
According to the tutorial (which is a nicely-written tutorial, by the way), the first line should be: (the tutorial says (Integral a) => a -> String, so I thought (Integer a) => a -> Bool should work as well.)
is_prime :: (Integer a) => a -> Bool
which doesn't work, and gives the above posted error (?).
And why does it not work? What is the difference between this line (which doesn't work) and the line (which works)?
Also, what is the idiomatic way to loop through 1 to N? I'm not completely satisfied with the loop in my code. Please suggest improvements. Here is my code:
--read_int function
read_int :: IO Integer
read_int = do
line <- getLine
readIO line
--is_prime function
is_prime :: Integer -> Bool
is_prime n = helper n 2
where
helper :: Integer -> Integer -> Bool
helper n i
| n < 2 * i = True
| mod n i > 0 = helper n (i+1)
| otherwise = False
main = do
n <- read_int
dump 1 n
where
dump i x = do
putStrLn ( show (i) ++ " is a prime? " ++ show (is_prime i) )
if i >= x
then putStrLn ("")
else do
dump (i+1) x

You are misreading the tutorial. It would say the type signature should be
is_prime :: (Integral a) => a -> Bool
-- NOT Integer a
These are different types:
Integer -> Bool
This is a function that takes a value of type Integer and gives back a value of type Bool.
Integral a => a -> Bool
This is a function that takes a value of type a and gives back a value of type Bool.
What is a? It can be any type of the caller's choice that implements the Integral type class, such as Integer or Int.
(And the difference between Int and Integer? The latter can represent an integer of any magnitude, the former wraps around eventually, similar to ints in C/Java/etc.)
The idiomatic way to loop depends on what your loop does: it will either be a map, a fold, or a filter.
Your loop in main is a map, and because you're doing i/o in your loop, you need to use mapM_.
let dump i = putStrLn ( show (i) ++ " is a prime? " ++ show (is_prime i) )
in mapM_ dump [1..n]
Meanwhile, your loop in is_prime is a fold (specifically all in this case):
is_prime :: Integer -> Bool
is_prime n = all nondivisor [2 .. n `div` 2]
where
nondivisor :: Integer -> Bool
nondivisor i = mod n i > 0
(And on a minor point of style, it's conventional in Haskell to use names like isPrime instead of names like is_prime.)

Part 1: If you look at the tutorial again, you'll notice that it actually gives type signatures in the following forms:
isPrime :: Integer -> Bool
-- or
isPrime :: Integral a => a -> Bool
isPrime :: (Integral a) => a -> Bool -- equivalent
Here, Integer is the name of a concrete type (has an actual representation) and Integral is the name of a class of types. The Integer type is a member of the Integral class.
The constraint Integral a means that whatever type a happens to be, a has to be a member of the Integral class.
Part 2: There are plenty of ways to write such a function. Your recursive definition looks fine (although you might want to use n < i * i instead of n < 2 * i, since it's faster).
If you're learning Haskell, you'll probably want to try writing it using higher-order functions or list comprehensions. Something like:
module Main (main) where
import Control.Monad (forM_)
isPrime :: Integer -> Bool
isPrime n = all (\i -> (n `rem` i) /= 0) $ takeWhile (\i -> i^2 <= n) [2..]
main :: IO ()
main = do n <- readLn
forM_ [1..n] $ \i ->
putStrLn (show (i) ++ " is a prime? " ++ show (isPrime i))

It is Integral a, not Integer a. See http://www.haskell.org/haskellwiki/Converting_numbers.
map and friends is how you loop in Haskell. This is how I would re-write the loop:
main :: IO ()
main = do
n <- read_int
mapM_ tell_prime [1..n]
where tell_prime i = putStrLn (show i ++ " is a prime? " ++ show (is_prime i))

Related

How can I return a lambda with guards and double recursion?

I made this function in Python:
def calc(a): return lambda op: {
'+': lambda b: calc(a+b),
'-': lambda b: calc(a-b),
'=': a}[op]
So you can make a calculation like this:
calc(1)("+")(1)("+")(10)("-")(7)("=")
And the result will be 5.
I wanbt to make the same function in Haskell to learn about lambdas, but I am getting parse errors.
My code looks like this:
calc :: Int -> (String -> Int)
calc a = \ op
| op == "+" = \ b calc a+b
| op == "-" = \ b calc a+b
| op == "=" = a
main = calc 1 "+" 1 "+" 10 "-" 7 "="
There are numerous syntactical problems with the code you have posted. I won't address them here, though: you will discover them yourself after going through a basic Haskell tutorial. Instead I'll focus on a more fundamental problem with the project, which is that the types don't really work out. Then I'll show a different approach that gets you the same outcome, to show you it is possible in Haskell once you've learned more.
While it's fine in Python to sometimes return a function-of-int and sometimes an int, this isn't allowed in Haskell. GHC has to know at compile time what type will be returned; you can't make that decision at runtime based on whether a string is "=" or not. So you need a different type for the "keep calcing" argument than the "give me the answer" argument.
This is possible in Haskell, and in fact is a technique with a lot of applications, but it's maybe not the best place for a beginner to start. You are inventing continuations. You want calc 1 plus 1 plus 10 minus 7 equals to produce 5, for some definitions of the names used therein. Achieving this requires some advanced features of the Haskell language and some funny types1, which is why I say it is not for beginners. But, below is an implementation that meets this goal. I won't explain it in detail, because there is too much for you to learn first. Hopefully after some study of Haskell fundamentals, you can return to this interesting problem and understand my solution.
calc :: a -> (a -> r) -> r
calc x k = k x
equals :: a -> a
equals = id
lift2 :: (a -> a -> a) -> a -> a -> (a -> r) -> r
lift2 f x y = calc (f x y)
plus :: Num a => a -> a -> (a -> r) -> r
plus = lift2 (+)
minus :: Num a => a -> a -> (a -> r) -> r
minus = lift2 (-)
ghci> calc 1 plus 1 plus 10 minus 7 equals
5
1 Of course calc 1 plus 1 plus 10 minus 7 equals looks a lot like 1 + 1 + 10 - 7, which is trivially easy. The important difference here is that these are infix operators, so this is parsed as (((1 + 1) + 10) - 7), while the version you're trying to implement in Python, and my Haskell solution, are parsed like ((((((((calc 1) plus) 1) plus) 10) minus) 7) equals) - no sneaky infix operators, and calc is in control of all combinations.
chi's answer says you could do this with "convoluted type class machinery", like printf does. Here's how you'd do that:
{-# LANGUAGE ExtendedDefaultRules #-}
class CalcType r where
calc :: Integer -> String -> r
instance CalcType r => CalcType (Integer -> String -> r) where
calc a op
| op == "+" = \ b -> calc (a+b)
| op == "-" = \ b -> calc (a-b)
instance CalcType Integer where
calc a op
| op == "=" = a
result :: Integer
result = calc 1 "+" 1 "+" 10 "-" 7 "="
main :: IO ()
main = print result
If you wanted to make it safer, you could get rid of the partiality with Maybe or Either, like this:
{-# LANGUAGE ExtendedDefaultRules #-}
class CalcType r where
calcImpl :: Either String Integer -> String -> r
instance CalcType r => CalcType (Integer -> String -> r) where
calcImpl a op
| op == "+" = \ b -> calcImpl (fmap (+ b) a)
| op == "-" = \ b -> calcImpl (fmap (subtract b) a)
| otherwise = \ b -> calcImpl (Left ("Invalid intermediate operator " ++ op))
instance CalcType (Either String Integer) where
calcImpl a op
| op == "=" = a
| otherwise = Left ("Invalid final operator " ++ op)
calc :: CalcType r => Integer -> String -> r
calc = calcImpl . Right
result :: Either String Integer
result = calc 1 "+" 1 "+" 10 "-" 7 "="
main :: IO ()
main = print result
This is rather fragile and very much not recommended for production use, but there it is anyway just as something to (eventually?) learn from.
Here is a simple solution that I'd say corresponds more closely to your Python code than the advanced solutions in the other answers. It's not an idiomatic solution because, just like your Python one, it will use runtime failure instead of types in the compiler.
So, the essence in you Python is this: you return either a function or an int. In Haskell it's not possible to return different types depending on runtime values, however it is possible to return a type that can contain different data, including functions.
data CalcResult = ContinCalc (Int -> String -> CalcResult)
| FinalResult Int
calc :: Int -> String -> CalcResult
calc a "+" = ContinCalc $ \b -> calc (a+b)
calc a "-" = ContinCalc $ \b -> calc (a-b)
calc a "=" = FinalResult a
For reasons that will become clear at the end, I would actually propose the following variant, which is, unlike typical Haskell, not curried:
calc :: (Int, String) -> CalcResult
calc (a,"+") = ContinCalc $ \b op -> calc (a+b,op)
calc (a,"-") = ContinCalc $ \b op -> calc (a-b,op)
calc (a,"=") = FinalResult a
Now, you can't just pile on function applications on this, because the result is never just a function – it can only be a wrapped function. Because applying more arguments than there are functions to handle them seems to be a failure case, the result should be in the Maybe monad.
contin :: CalcResult -> (Int, String) -> Maybe CalcResult
contin (ContinCalc f) (i,op) = Just $ f i op
contin (FinalResult _) _ = Nothing
For printing a final result, let's define
printCalcRes :: Maybe CalcResult -> IO ()
printCalcRes (Just (FinalResult r)) = print r
printCalcRes (Just _) = fail "Calculation incomplete"
printCalcRes Nothing = fail "Applied too many arguments"
And now we can do
ghci> printCalcRes $ contin (calc (1,"+")) (2,"=")
3
Ok, but that would become very awkward for longer computations. Note that we have after two operations a Maybe CalcResult so we can't just use contin again. Also, the parentheses that would need to be matched outwards are a pain.
Fortunately, Haskell is not Lisp and supports infix operators. And because we're anyways getting Maybe in the result, might as well include the failure case in the data type.
Then, the full solution is this:
data CalcResult = ContinCalc ((Int,String) -> CalcResult)
| FinalResult Int
| TooManyArguments
calc :: (Int, String) -> CalcResult
calc (a,"+") = ContinCalc $ \(b,op) -> calc (a+b,op)
calc (a,"-") = ContinCalc $ \(b,op) -> calc (a-b,op)
calc (a,"=") = FinalResult a
infixl 9 #
(#) :: CalcResult -> (Int, String) -> CalcResult
ContinCalc f # args = f args
_ # _ = TooManyArguments
printCalcRes :: CalcResult -> IO ()
printCalcRes (FinalResult r) = print r
printCalcRes (ContinCalc _) = fail "Calculation incomplete"
printCalcRes TooManyArguments = fail "Applied too many arguments"
Which allows to you write
ghci> printCalcRes $ calc (1,"+") # (2,"+") # (3,"-") # (4,"=")
2
A Haskell function of type A -> B has to return a value of the fixed type B every time it's called (or fail to terminate, or throw an exception, but let's neglect that).
A Python function is not similarly constrained. The returned value can be anything, with no type constraints. As a simple example, consider:
def foo(b):
if b:
return 42 # int
else:
return "hello" # str
In the Python code you posted, you exploit this feature to make calc(a)(op) to be either a function (a lambda) or an integer.
In Haskell we can't do that. This is to ensure that the code can be type checked at compile-time. If we write
bar :: String -> Int
bar s = foo (reverse (reverse s) == s)
the compiler can't be expected to verify that the argument always evaluates to True -- that would be undecidable, in general. The compiler merely requires that the type of foo is something like Bool -> Int. However, we can't assign that type to the definition of foo shown above.
So, what we can actually do in Haskell?
One option could be to abuse type classes. There is a way in Haskell to create a kind of "variadic" function exploiting some kind-of convoluted type class machinery. That would make
calc 1 "+" 1 "+" 10 "-" 7 :: Int
type-check and evaluate to the wanted result. I'm not attempting that: it's complex and "hackish", at least in my eye. This hack was used to implement printf in Haskell, and it's not pretty to read.
Another option is to create a custom data type and add some infix operator to the calling syntax. This also exploits some advanced feature of Haskell to make everything type check.
{-# LANGUAGE GADTs, FunctionalDependencies, TypeFamilies, FlexibleInstances #-}
data R t where
I :: Int -> R String
F :: (Int -> Int) -> R Int
instance Show (R String) where
show (I i) = show i
type family Other a where
Other String = Int
Other Int = String
(#) :: R a -> a -> R (Other a)
I i # "+" = F (i+) -- equivalent to F (\x -> i + x)
I i # "-" = F (i-) -- equivalent to F (\x -> i - x)
F f # i = I (f i)
I _ # s = error $ "unsupported operator " ++ s
main :: IO ()
main =
print (I 1 # "+" # 1 # "+" # 10 # "-" # 7)
The last line prints 5 as expected.
The key ideas are:
The type R a represents an intermediate result, which can be an integer or a function. If it's an integer, we remember that the next thing in the line should be a string by making I i :: R String. If it's a function, we remember the next thing should be an integer by having F (\x -> ...) :: R Int.
The operator (#) takes an intermediate result of type R a, a next "thing" (int or string) to process of type a, and produces a value in the "other type" Other a. Here, Other a is defined as the type Int (respectively String) when a is String (resp. Int).

Loop a function 10 times in Haskell

Do you have any idea how I can loop the function func2 10 times
type Vertex = Int
type OutNeighbors = [Vertex]
data Graph = Graph [(Vertex,OutNeighbors)] deriving (Eq, Show, Read)
func2 (Graph g) = filter (\x -> contains (fst x) (func1 (Graph g))) g --I need to repeat this function 10 times.
I am kind of new to haskell and I have no idea how to do loops
Do you have any idea how I can loop the function func2 10 times
You could iterate it and !! at 10:
> take 5 $ iterate ("hi " ++) "there!"
["there!","hi there!","hi hi there!","hi hi hi there!","hi hi hi hi there!"]
> let func2 = (+3) in iterate func2 0 !! 10
30
but that would require func2 to return the same type as its input, and right now it appears to have type
func2 :: Graph -> [(Vertex,OutNeighbors)]
But if you wrapped Graph back onto it, i.e.,
func2 :: Graph -> Graph
func2 (Graph g) = Graph (... g)
then you could iterate on it.
In Haskell you can use recursion for loops, here is an example:
myLoop 0 g = g
myLoop n g = myLoop (n - 1) (Graph (func2 g))
Now calling myLoop 10 g will call func2 10 times on g.
Note that I had to wrap the result back in the Graph type, that is probably something you should do in the func2 function:
func2 (Graph g) = Graph (filter (\x -> contains (fst x) (func1 (Graph g))) g)
You can get a little bit higher-level if you wrap this up in the State monad from the transformers package:
import Control.Monad.Trans.State.Lazy (execState, modify)
import Control.Monad (replicateM_)
myLoop :: Int -> Graph -> Graph
myLoop n g = execState (replicateM_ n (modify func2)) g
This is one of these situations where, in order to avoid typing errors, you need to be able to refer to both the whole parameter and to its subcomponents thru proper names.
Fortunately, Haskell provides just that. This is known as the “as patterns”. More details here: SO-q30326249.
In your case, you could note your graph parameter as: g#(Graph(pairs)). Then, g is your graph object, and pairs is the corresponding list of type [(Vertex,OutNeighbors)].
You do not tell us about your contains function, but it is possible to infer that its type is:
contains :: Vertex -> Graph -> Bool
With that in mind, a version of your graph function taking an arbitrary iteration count can be written this way:
type Vertex = Int
type OutNeighbors = [Vertex]
data Graph = Graph [(Vertex,OutNeighbors)] deriving (Eq, Show, Read)
funcN :: Int -> Graph -> Graph
funcN iterCount g#(Graph(pairs)) =
if (iterCount <= 0) then g -- nothing to do
else let
gm1 = funcN (iterCount - 1) g -- recursion
fn = \(v,ngs) -> contains v gm1 -- filtration
in
Graph (filter fn pairs)
Using the same techniques, a tentative version of the contains function could be like this:
contains :: Vertex -> Graph -> Bool
contains v g#( Graph [] ) = False
contains v g#( Graph ((v0,ngs0):pairs) ) = (v == v0) || contains v (Graph(pairs))
This second function is a bit more complicated, because lists can be described thru 2 patterns, empty and non-empty.
Finally, a version of the function that does exactly 10 iterations can be written like this:
func10 :: Graph -> Graph
func10 g = funcN 10 g
or also in a more concise fashion using partial application (known in Haskell circles as currying):
func10 :: Graph -> Graph
func10 = funcN 10
Addendum: library style, using nest:
If for some reason “manual recursion” is frowned upon, it is possible to use instead the nest :: Int -> (a -> a) -> a -> a library function. It computes the Nth compositional power of a function, using recursion internally.
Then one just has to write the single iteration version of the graph function. The code looks like this:
import Data.Function.HT (nest)
funcNl :: Int -> Graph -> Graph
funcNl iterCount g0 = let
-- 2 local function definitions:
ftfn g1 (v, ngs) = contains v g1
func1 g2#(Graph(pairs)) = Graph (filter (ftfn g2) pairs)
in
nest iterCount func1 g0

Feeding data to Haskell twice function as explained by Erik Meijer lecture 7

Can somebody point me to how to feed data to:
twice f x = f (f x)
It's taken from Erik Meijer's lecture, and I have the feeling I can only truely understand when passing data to it. Now this only results in errors.
The derived type signature is (t -> t) -> t -> t. Pass any arguments that match and you won't get compiler errors. One example is twice (+1) 0.
The main mistake here is disregarding the type of twice. In Haskell types are very important, and explain precisely how you would call such a function.
twice :: (a -> a) -> a -> a
So, the function works in this way:
the caller chooses any type a they want
the caller passes a function f of type a -> a
the caller passes an argument of type a
twice finally produces a value of type a
Hence, we could do the following. We can choose, for instance, a = Int. Then define the function f as
myFun :: Int -> Int
myFun y = y*y + 42
then choose x :: Int as 10. Finally, we can make the call
twice myFun 10
Alternatively, we can use a lambda and skip the function definition above
twice (\y -> y*y + 42) 10
For illustration here are three functions called erik1, erik2, and erik3 with the same type signature.
erik1, erik2, erik3 ::(a -> a) -> a -> a
erik1 f x = f x
erik2 f x = f(f x) -- Equivalent to "twice"
erik3 f x = f(f(f x))
These eriks take two arguments, the first being a function and the second being a number. Let's choose sqrt as the function and the number to be 16 and run the three eriks. Here's what you get:
*Main> erik1 sqrt 16
4.0
*Main> erik2 sqrt 16
2.0
*Main> erik3 sqrt 16
1.4142135623730951
There are many things you can try, such as erik3 (/2) 16 = 2,because the f in the function allows you to use any appropriate function. In the particular case of sqrt, erik3 is equivalent to this statement in C:
printf ("Eighth root of 16 = %f \n", sqrt(sqrt(sqrt(16))));
Dr. Meijer Ch 7 1:48 to 3:37
As I watched this lecture last night a key point was made when Erik wrote the type signature as twice :: (a -> a) -> (a -> a) and said, "twice is a function that takes a to a and returns a new function from a to a, and by putting some extra parens it becomes painfully obvious that twice is a higher order function."
A C example that comes closer to illustrating that is:
#define eighthRoot(x) (sqrt(sqrt(sqrt(x))))
printf ("eigthtRoot(16) = %f \n", eighthRoot(16));

Int and Num type of haskell

I have below code to take the args to set some offset time.
setOffsetTime :: (Ord a, Num b)=>[a] -> b
setOffsetTime [] = 200
setOffsetTime (x:xs) = read x::Int
But compiler says "Could not deduce (b ~ Int) from the context (Ord a, Num b) bound by the type signature for setOffsetTime :: (Ord a, Num b) => [a] -> b
Also I found I could not use 200.0 if I want float as the default value. The compilers says "Could not deduce (Fractional b) arising from the literal `200.0'"
Could any one show me some code as a function (not in the prelude) that takes an arg to store some variable so I can use in other function? I can do this in the main = do, but hope
to use an elegant function to achieve this.
Is there any global constant stuff in Hasekll? I googled it, but seems not.
I wanna use Haskell to replace some of my python script although it is not easy.
I think this type signature doesn't quite mean what you think it does:
setOffsetTime :: (Ord a, Num b)=>[a] -> b
What that says is "if you give me a value of type [a], for any type a you choose that is a member of the Ord type class, I will give you a value of type b, for any type b that you choose that is a member of the Num type class". The caller gets to pick the particular types a and b that are used each time setOffsetTime is called.
So trying to return a value of type Int (or Float, or any particular type) doesn't make sense. Int is indeed a member of the type class Num, but it's not any member of the type class Num. According to that type signature, I should be able to make a brand new instance of Num that you've never seen before, import setOffsetTime from your module, and call it to get a value of my new type.
To come up with an acceptable return value, you can only use functions that likewise return an arbitrary Num. You can't use any functions of particular concrete types.
Existential types are essentially a mechanism for allowing the callee to choose the value for a type variable (and then the caller has to be written to work regardless of what that type is), but that's not really something you want to be getting into while you're still learning.
If you are convinced that the implementation of your function is correct, i.e., that it should interpret the first element in its input list as the number to return and return 200 if there is no such argument, then you only need to make sure that the type signature matches that implementation (which it does not do, right now).
To do so, you could, for example, remove the type signature and ask ghci to infer the type:
$ ghci
GHCi, version 7.6.2: http://www.haskell.org/ghc/ :? for help
Loading package ghc-prim ... linking ... done.
Loading package integer-gmp ... linking ... done.
Loading package base ... linking ... done.
Prelude> :{
Prelude| let setOffsetTime [] = 200
Prelude| setOffsetTime (x : xs) = read x :: Int
Prelude| :}
Prelude> :t setOffsetTime
setOffsetTime :: [String] -> Int
Prelude> :q
Leaving GHCi.
$
And indeed,
setOffsetTime :: [String] -> Int
setOffsetTime [] = 200
setOffsetTime (x : xs) = read x :: Int
compiles fine.
If you want a slightly more general type, you can drop the ascription :: Int from the second case. The above method then tells you that you can write
setOffsetTime :: (Num a, Read a) => [String] -> a
setOffsetTime [] = 200
setOffsetTime (x : xs) = read x
From the comment that you added to your question, I understand that you want your function to return a floating-point number. In that case, you can write
setOffsetTime :: [String] -> Float
setOffsetTime [] = 200.0
setOffsetTime (x : xs) = read x
or, more general:
setOffsetTime :: (Fractional a, Read a) => [String] -> a
setOffsetTime [] = 200.0
setOffsetTime (x : xs) = read x

Weeding duplicates from a list of functions

Is it possible to remove the duplicates (as in nub) from a list of functions in Haskell?
Basically, is it possible to add an instance for (Eq (Integer -> Integer))
In ghci:
let fs = [(+2), (*2), (^2)]
let cs = concat $ map subsequences $ permutations fs
nub cs
<interactive>:31:1:
No instance for (Eq (Integer -> Integer))
arising from a use of `nub'
Possible fix:
add an instance declaration for (Eq (Integer -> Integer))
In the expression: nub cs
In an equation for `it': it = nub cs
Thanks in advance.
...
Further, based on larsmans' answer, I am now able to do this
> let fs = [AddTwo, Double, Square]
> let css = nub $ concat $ map subsequences $ permutations fs
in order to get this
> css
[[],[AddTwo],[Double],[AddTwo,Double],[Square],[AddTwo,Square],[Double,Square],[AddTwo,Double,Square],[Double,AddTwo],[Double,AddTwo,Square],[Square,Double],[Square,AddTwo],[Square,Double,AddTwo],[Double,Square,AddTwo],[Square,AddTwo,Double],[AddTwo,Square,Double]]
and then this
> map (\cs-> call <$> cs <*> [3,4]) css
[[],[5,6],[6,8],[5,6,6,8],[9,16],[5,6,9,16],[6,8,9,16],[5,6,6,8,9,16],[6,8,5,6],[6,8,5,6,9,16],[9,16,6,8],[9,16,5,6],[9,16,6,8,5,6],[6,8,9,16,5,6],[9,16,5,6,6,8],[5,6,9,16,6,8]]
, which was my original intent.
No, this is not possible. Functions cannot be compared for equality.
The reason for this is:
Pointer comparison makes very little sense for Haskell functions, since then the equality of id and \x -> id x would change based on whether the latter form is optimized into id.
Extensional comparison of functions is impossible, since it would require a positive solution to the halting problem (both functions having the same halting behavior is a necessary requirement for equality).
The workaround is to represent functions as data:
data Function = AddTwo | Double | Square deriving Eq
call AddTwo = (+2)
call Double = (*2)
call Square = (^2)
No, it's not possible to do this for Integer -> Integer functions.
However, it is possible if you're also ok with a more general type signature Num a => a -> a, as your example indicates! One naïve way (not safe), would go like
{-# LANGUAGE FlexibleInstances #-}
{-# LANGUAGE NoMonomorphismRestriction #-}
data NumResLog a = NRL { runNumRes :: a, runNumResLog :: String }
deriving (Eq, Show)
instance (Num a) => Num (NumResLog a) where
fromInteger n = NRL (fromInteger n) (show n)
NRL a alog + NRL b blog
= NRL (a+b) ( "("++alog++ ")+(" ++blog++")" )
NRL a alog * NRL b blog
= NRL (a*b) ( "("++alog++ ")*(" ++blog++")" )
...
instance (Num a) => Eq (NumResLog a -> NumResLog a) where
f == g = runNumResLog (f arg) == runNumResLog (g arg)
where arg = NRL 0 "THE ARGUMENT"
unlogNumFn :: (NumResLog a -> NumResLog c) -> (a->c)
unlogNumFn f = runNumRes . f . (`NRL`"")
which works basically by comparing a "normalised" version of the functions' source code. Of course this fails when you compare e.g. (+1) == (1+), which are equivalent numerically but yield "(THE ARGUMENT)+(1)" vs. "(1)+(THE ARGUMENT)" and thus are indicated as non-equal. However, since functions Num a => a->a are essentially constricted to be polynomials (yeah, abs and signum make it a bit more difficult, but it's still doable), you can find a data type that properly handles those equivalencies.
The stuff can be used like this:
> let fs = [(+2), (*2), (^2)]
> let cs = concat $ map subsequences $ permutations fs
> let ncs = map (map unlogNumFn) $ nub cs
> map (map ($ 1)) ncs
[[],[3],[2],[3,2],[1],[3,1],[2,1],[3,2,1],[2,3],[2,3,1],[1,2],[1,3],[1,2,3],[2,1,3],[1,3,2],[3,1,2]]