A bit of a shock - Memoizing functions - Haskell-Cafe - Haskell.org

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A bit of a shock - Memoizing functions

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Gü?nther Schmidt

27 Mar 2009 27 Mar '09

8:30 p.m.

Hi, um, well, I'm not even sure if I have correctly understood this. Some of the memoizing functions, they actually "remember" stuff *between* calls? Günther

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Bulat Ziganshin

27 Mar 27 Mar

8:48 p.m.

Hello Gü?nther, Friday, March 27, 2009, 11:30:41 PM, you wrote:

Some of the memoizing functions, they actually "remember" stuff *between* calls?

what i've seen in haskell - functions relying on lazy datastructures that ensure computation on first usage so this looks exactly like as memoizing: power 2 n | n>=0 && n<100 = powersOfTwo!n power x y = x^y powersOfTwo = array (0,99) [2^n | n <- [0..99] ] it's almost exact definition from ghc Prelude -- Best regards, Bulat mailto:Bulat.Ziganshin@gmail.com

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Günther Schmidt

8:58 p.m.

Hi Bulat, that is so cool! Günther Bulat Ziganshin schrieb:

Hello Gü?nther,

Friday, March 27, 2009, 11:30:41 PM, you wrote:

...
Some of the memoizing functions, they actually "remember" stuff *between* calls?

what i've seen in haskell - functions relying on lazy datastructures that ensure computation on first usage so this looks exactly like as memoizing:

power 2 n | n>=0 && n<100 = powersOfTwo!n power x y = x^y

powersOfTwo = array (0,99) [2^n | n <- [0..99] ]

it's almost exact definition from ghc Prelude

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Kirk Martinez

9:26 p.m.

It seems there is a very close correspondence between data structures and functions in Haskell. Your powersOfTwo function, since it gets memoized automatically (is this the case for all functions of zero arguments?), seems exactly like a data structure. This harks back to my Scheme days when we learned about the close relationship between code and data. I wonder: does the converse exist? Haskell data constructors which are really functions? How and for what might one use those? Thanks, Kirk On Fri, Mar 27, 2009 at 1:58 PM, GüŸnther Schmidt wrote:

Hi Bulat,

that is so cool!

Günther

Bulat Ziganshin schrieb:

...
Hello Gü?nther,

Friday, March 27, 2009, 11:30:41 PM, you wrote:

Some of the memoizing functions, they actually "remember" stuff

...
*between* calls?

what i've seen in haskell - functions relying on lazy datastructures that ensure computation on first usage so this looks exactly like as memoizing:

power 2 n | n>=0 && n<100 = powersOfTwo!n power x y = x^y

powersOfTwo = array (0,99) [2^n | n <- [0..99] ]

it's almost exact definition from ghc Prelude

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Jonathan Cast

9:32 p.m.

On Fri, 2009-03-27 at 14:26 -0700, Kirk Martinez wrote:

Your powersOfTwo function, since it gets memoized automatically (is this the case for all functions of zero arguments?),

It is the case for all functions which have zero arguments *at the time they are presented to the code generator*. The infamous evil monomorphism restriction arises from the fact that overloaded expressions, such as negative_one = exp(pi * sqrt(-1)) look like functions of zero arguments, but are not, and hence do not get memoized. This behavior was considered sufficiently surprising, when it was discovered in early Haskell compilers, that the construct was outlawed from the language entirely. jcc

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David Menendez

10:11 p.m.

2009/3/27 Kirk Martinez :

It seems there is a very close correspondence between data structures and functions in Haskell. Your powersOfTwo function, since it gets memoized automatically (is this the case for all functions of zero arguments?), seems exactly like a data structure.

That's because it is. It's an array whose elements are computed on demand.

This harks back to my Scheme days when we learned about the close relationship between code and data.

I wonder: does the converse exist? Haskell data constructors which are really functions? How and for what might one use those?

Sure. You can use Church encoding to represent any Haskell data type as a function. -- Dave Menendez http://www.eyrie.org/~zednenem/

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Dan Piponi

10:26 p.m.

2009/3/27 Kirk Martinez :

I wonder: does the converse exist? Haskell data constructors which are really functions? How and for what might one use those?

You might enjoy reading about the use of tries for memoisation. Conal Elliott explains nicely how you can an isomorphism between certain types of function and certain types of tree structure: http://conal.net/blog/posts/elegant-memoization-with-functional-memo-tries/ It's neat because the rules for constructing the isomorphism are just like some well known rules of high school algebra, but interpreted in a new way. -- Dan

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Gü?nther Schmidt

11:03 p.m.

Hi Dan, yep, I've come across that one too and wouldn't you know it, the by now infamous Luke Palmer has left an interesting insight on that blog too :). So I reckon here the cycle closes. Günther Dan Piponi schrieb:

2009/3/27 Kirk Martinez :

...
I wonder: does the converse exist? Haskell data constructors which are really functions? How and for what might one use those?

You might enjoy reading about the use of tries for memoisation. Conal Elliott explains nicely how you can an isomorphism between certain types of function and certain types of tree structure: http://conal.net/blog/posts/elegant-memoization-with-functional-memo-tries/

It's neat because the rules for constructing the isomorphism are just like some well known rules of high school algebra, but interpreted in a new way. -- Dan

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Martijn van Steenbergen

11:15 p.m.

Kirk Martinez wrote:

It seems there is a very close correspondence between data structures and functions in Haskell. Your powersOfTwo function, since it gets memoized automatically (is this the case for all functions of zero arguments?), seems exactly like a data structure. This harks back to my Scheme days when we learned about the close relationship between code and data.

You might also find Neil's blog post about CAFs interesting: http://neilmitchell.blogspot.com/2009/02/monomorphism-and-defaulting.html Fijne avond, Martijn.

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Jeremy Shaw

10:36 p.m.

Hello, I've seen it done explicitly as is shown in the code below. 'f' in 'longest' is the function which is being memoized by the 'dp'. It's pretty slick, IMO. (not sure where this code came from. Also I may have broken it, but you get the idea): module Diff where import Data.Array -- * Dynamic Programming dp :: (Ix a) => (a,a) -> ((a->b) -> a -> b) -> a -> b dp bounds f = (memo!) where memo = tabulate bounds (f (memo!)) tabulate :: (Ix a) => (a,a) -> (a -> b) -> Array a b tabulate bounds f = array bounds [(i,f i) | i <- range bounds] -- * Two-way diff -- NOTE: I copied lcs/longest off the web somewhere, not sure what the license is lcs :: Ord a => [a] -> [a] -> [(Int, Int)] lcs xs ys = snd $ longest lenx leny xarr yarr (0,0) where lenx = length xs leny = length ys xarr = listArray (0,lenx-1) xs yarr = listArray (0,leny-1) ys longest :: Ord a => Int -> Int -> Array Int a -> Array Int a -> (Int, Int) -> (Int, [(Int, Int)]) longest a b c d| a `seq` b `seq` c `seq` d `seq` False = undefined longest lenx leny xarr yarr = dp ((0,0),(lenx,leny)) f where f rec (x,y) | x'ge'lenx && y'ge'leny = (0, []) | x'ge'lenx = y' | y'ge'leny = x' | xarr ! x == yarr ! y = max (match $ rec (x+1,y+1)) m | otherwise = m where m = max y' x' x'ge'lenx = x >= lenx y'ge'leny = y >= leny y' = miss (rec (x,y+1)) x' = miss (rec (x+1,y)) match (n,xs) = (n+1, (x,y):xs) miss = id -- miss z (n,xs) = (n,z:xs)

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participants (9)

Bulat Ziganshin
Dan Piponi
David Menendez
Gü?nther Schmidt
Günther Schmidt
Jeremy Shaw
Jonathan Cast
Kirk Martinez
Martijn van Steenbergen