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Created November 28, 2014 15:06
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Recursion schemes, Stockholm Haskell User Group, 2014-11-27
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{
"metadata": {
"language": "haskell",
"name": "",
"signature": "sha256:aef28447c9aa4685d609004ade81aaa922bf3e4961ef0fb3f6516d15405929e5"
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"worksheets": [
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"# Recursion schemes\n",
"\n",
"**Johan Lies\u00e9n**\n",
"\n",
"johan@liesen.se\n",
"\n",
"Stockholm Haskell User Group, 2014-11-27."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
":extension DeriveFoldable\n",
":extension DeriveFunctor\n",
":extension DeriveTraversable\n",
"\n",
"import Control.Applicative hiding (Const)\n",
"import Control.Monad\n",
"import Data.Bool\n",
"import Data.Foldable hiding (foldr)\n",
"import Data.Maybe\n",
"import Data.Traversable"
],
"language": "python",
"metadata": {
"hidden": false
},
"outputs": [],
"prompt_number": 46
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"# Example: a simple expression language"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data Expr\n",
" = Var String\n",
" | Const Int\n",
" | Add Expr Expr\n",
" | Mul Expr Expr\n",
" | IfNeg Expr Expr Expr\n",
" deriving (Eq, Show)"
],
"language": "python",
"metadata": {
"hidden": false
},
"outputs": [],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"## Recursive function to evaluate an expression with a global environment"
]
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"This is what we would like to write using a recursion scheme, an evaluator for `Expr`:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"type Env = [(String, Int)]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"eval :: Env -> Expr -> Maybe Int\n",
"eval env (Var s) = lookup s env\n",
"eval env (Const x) = pure x\n",
"eval env (Add x y) = (+) <$> eval env x <*> eval env y\n",
"eval env (Mul x y) = (*) <$> eval env x <*> eval env y\n",
"eval env (IfNeg t x y) = \n",
" eval env t >>= bool (eval env x) (eval env y) . not . (< 0)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"-- (if a < 0 then 0 else a) * b\n",
"expr1 = Mul (IfNeg (Var \"a\") (Const 0) (Var \"a\")) (Var \"b\")"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"eval [(\"a\", 5), (\"b\", 10)] expr1"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"Just 50"
]
}
],
"prompt_number": 9
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"The recursion is **explicit** and not data-type generic: it can not be applied to any other data-type but `Expr`.\n",
"\n",
"**Recursion schemes** is all about data-type generic programming, and extracting the explicit recursion into a combinator that can be applied to any (recursive) data type."
]
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"# Unfixed representation of `Expr`\n",
"\n",
"First we parameterize our type, `Expr`, in terms of its subexpressions:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data ExprF r =\n",
" Var String\n",
" | Const Int\n",
" | Add r r\n",
" | Mul r r\n",
" | IfNeg r r r\n",
" deriving (Eq, Foldable, Functor, Show, Traversable)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 10
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"`ExprF` is just the shape of `Expr`, and is no longer recursive. \n",
"\n",
"`ExprF` can't express arbitrary nested expressions (which `Expr` can/could!):\n",
"\n",
"* `ExprF Int` is an expression with no subexpressions\n",
"* `ExprF (ExprF Int)` can contain on level of subexpressions\n",
"* `ExprF (ExprF (ExprF Int)))` can contain two levels of subexpressions\n",
"* ...\n",
"\n",
"We want `ExprF (ExprF (ExprF (...`."
]
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"# Fixpoints of functors\n",
"\n",
"We define a type-level Y-combinator to capture the recursion:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"newtype Fix f = Fix { unFix :: f (Fix f) }"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 11
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"type Expr = Fix ExprF"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 12
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"`Fix ExprF` is isomorphic to (our previous) `Expr`."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
":extension FlexibleContexts\n",
":extension StandaloneDeriving\n",
":extension UndecidableInstances\n",
"\n",
"deriving instance Show (f (Fix f)) => Show (Fix f)\n",
"deriving instance Eq (f (Fix f)) => Eq (Fix f)\n",
"deriving instance Ord (f (Fix f)) => Ord (Fix f)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 13
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"# `cata`, a general `foldr`\n",
"\n",
"Our `eval` function is a right fold (or bottom-up traversal), our beloved `foldr`. And it turns out, using data-type generic programming and ideas from category theory, we can define a combinator that captures the computation performed by a right fold. This is a `cata`-morphism:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cata :: Functor f => (f a -> a) -> Fix f -> a\n",
"cata alg = alg . fmap (cata alg) . unFix"
],
"language": "python",
"metadata": {
"hidden": false
},
"outputs": [],
"prompt_number": 14
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"`alg` is an F-algebra: `f a -> a` for any functor `f`.\n",
"\n",
"It's useful to think about the types involved in `cata`:\n",
"\n",
"1. `unFix` removes the outer `Fix`, so we have `f (Fix f)` where `f` is a functor\n",
"2. `fmap (cata alg)` captures the recursion and applies our catamorphism to the value with the result being `f a`\n",
"3. finally, `alg` is applied to the value leaving us with an `a`"
]
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"## `eval` using `cata`\n",
"\n",
"The explicit recursive calls are now gone!"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"eval :: Env -> Expr -> Maybe Int\n",
"eval env = cata (evalAlg env)\n",
"\n",
"evalAlg :: Env -> ExprF (Maybe Int) -> Maybe Int\n",
"evalAlg env = alg\n",
" where\n",
" alg :: ExprF (Maybe Int) -> Maybe Int\n",
" alg (Var s) = lookup s env\n",
" alg (Const n) = pure n\n",
" alg (Add x y) = (+) <$> x <*> y\n",
" alg (Mul x y) = (*) <$> x <*> y\n",
" alg (IfNeg t x y) = t >>= bool x y . not . (< 0)"
],
"language": "python",
"metadata": {
"hidden": false
},
"outputs": [],
"prompt_number": 15
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"var = Fix . Var\n",
"konst = Fix . Const\n",
"mul x y = Fix (Mul x y)\n",
"add x y = Fix (Add x y)\n",
"ifNeg t x y = Fix (IfNeg t x y)\n",
"\n",
"expr2 = mul (ifNeg (var \"a\") (konst 0) (var \"a\")) (var \"b\")"
],
"language": "python",
"metadata": {
"hidden": false
},
"outputs": [],
"prompt_number": 16
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"The expression unfortunately needs `Fix` for all constructors which looks a bit ugly, but smart constructors help to remove the cruft."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"eval [(\"a\", 5), (\"b\", 10)] expr2"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"Just 50"
]
}
],
"prompt_number": 17
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"## Find all free variables"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import qualified Data.Set as Set\n",
"import Data.Set (Set)\n",
"\n",
"freeVars :: Expr -> Set String\n",
"freeVars = cata alg\n",
" where\n",
" alg :: ExprF (Set String) -> Set String\n",
" alg (Var s) = Set.singleton s\n",
" alg e = fold e"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 18
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"freeVars expr2"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"fromList [\"a\",\"b\"]"
]
}
],
"prompt_number": 19
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"## Find the depth of an expression"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"depth :: Expr -> Int\n",
"depth = cata alg\n",
" where\n",
" alg :: ExprF Int -> Int\n",
" alg (Const n) = 1\n",
" alg (Var s) = 1\n",
" alg (Add x y) = 1 + max x y\n",
" alg (Mul x y) = 1 + max x y\n",
" alg (IfNeg t x y) = 1 + Data.Foldable.maximum [t, x, y]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 20
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"depth expr2"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"3"
]
}
],
"prompt_number": 21
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"## Count the number of nodes in an expression"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"count :: Expr -> Int\n",
"count = cata alg\n",
" where\n",
" alg (Const n) = 1\n",
" alg (Var s) = 1\n",
" alg (Add x y) = 1 + x + y\n",
" alg (Mul x y) = 1 + x + y\n",
" alg (IfNeg t x y) = 1 + t + x + y"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 22
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"count expr2"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"6"
]
}
],
"prompt_number": 23
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"## A general `unfoldr`"
]
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"A general `unfoldr` (a combinator that *builds up* a structure) is called an `ana`-morphism:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"ana :: Functor f => (a -> f a) -> a -> Fix f\n",
"ana coalg = Fix . fmap (ana coalg) . coalg"
],
"language": "python",
"metadata": {
"hidden": false
},
"outputs": [],
"prompt_number": 24
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"It's a more general `unfoldr`:\n",
"\n",
" :t Data.List.unfoldr :: (b -> Maybe (a, b)) -> b -> [a]"
]
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"### Unfold a list of ints\n",
"\n",
"Use a list as an intermediate structure to generate a sequence of numbers:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data ListF a r = Nil | Cons a r deriving (Functor)"
],
"language": "python",
"metadata": {
"hidden": false
},
"outputs": [],
"prompt_number": 25
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"intsFrom :: Int -> Fix (ListF Int)\n",
"intsFrom = ana (\\n -> Cons n (n + 1)) -- [1..n] is an anamorphism!\n",
"\n",
":extension ViewPatterns\n",
"\n",
"takeS :: Int -> Fix (ListF a) -> [a]\n",
"takeS 0 _ = []\n",
"takeS n (unFix -> Cons x xs) = x : takeS (n - 1) xs"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 26
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"takeS 5 $ intsFrom 5"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"[5,6,7,8,9]"
]
}
],
"prompt_number": 27
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"## Folding and unfolding with hylomorphisms\n",
"\n",
"Hylomorphism (a \"refold\") is the composition of a catamorphism and an anamorphism:\n",
"\n",
"```\n",
"hylo :: Functor f => (f b -> b) -> (a -> f a) -> a -> b\n",
"hylo f g = cata g . ana f\n",
"```\n",
"\n",
"The `cata` and `ana` can be fused:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"hylo :: Functor f => (f b -> b) -> (a -> f a) -> a -> b\n",
"hylo f g = f . fmap (hylo f g) . g"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 28
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"`cata` and `ana` written in terms of `hylo`.\n",
"\n",
"```\n",
"cata f = hylo f unFix\n",
"ana g = hylo Fix g\n",
"```"
]
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"# Conclusion\n",
"\n",
"* Recursion schemes is an instance of data-type generic programming; a programming pattern\n",
"\n",
"* Combinators that traverses and through nested data structures\n",
"\n",
"* Useful if you have a large data structure, for example a representation of a computer program in a compiler, and do many small operations on that structure\n",
"\n",
"* Code reuse\n",
"\n",
"* Better reasoning about our programs since the recursion schemes can be reasoned about in isolation\n",
"\n",
"* Exploit parallelism"
]
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"## Resources\n",
"\n",
"* Bananas, Lenses, Envelopes and Barbed Wire by Meijer, Fokkinga and Paterson\n",
"\n",
" * Paper: http://eprints.eemcs.utwente.nl/7281/01/db-utwente-40501F46.pdf\n",
"\n",
" * Translation guide to Haskell: http://blog.ezyang.com/2010/05/bananas-lenses-envelopes-and-barbed-wire-a-translation-guide/\n",
"\n",
"\n",
"\n",
"* Tim Williams talk on recursion schemes\n",
"\n",
" * Code and slides: https://github.com/willtim/recursion-schemes\n",
" * Video: https://www.youtube.com/watch?v=Zw9KeP3OzpU\n",
" \n",
"\n",
"* Recursion Schemes: A Field Guide (Redux): http://comonad.com/reader/2009/recursion-schemes/\n",
"\n",
"\n",
"* Blog posts\n",
"\n",
" * Grokking recursion-scheme: Part 1: http://jozefg.bitbucket.org/posts/2014-05-19-like-recursion-but-cooler.html\n",
" * An Introduction to Recursion Schemes and Codata: http://patrickthomson.ghost.io/an-introduction-to-recursion-schemes/\n",
"\n",
"\n",
"* `recursion-schemes` on Hackage: https://hackage.haskell.org/package/recursion-schemes"
]
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"# More examples\n",
"\n",
"## Merge sort using a hylomorphism\n",
"\n",
"Using a tree as an intermediate structure we can program merge sort using a hylomorphism:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import Data.List (unfoldr)\n",
"\n",
"data TreeF a r = Leaf a | Node r r deriving (Functor)\n",
"\n",
"merge :: Ord a => TreeF a [a] -> [a]\n",
"merge (Leaf x) = [x]\n",
"merge (Node xs ys) = mergeLists xs ys\n",
" where\n",
" mergeLists :: Ord a => [a] -> [a] -> [a]\n",
" mergeLists = curry (unfoldr f)\n",
" f ([], []) = Nothing\n",
" f (x:xs, []) = Just (x, (xs, []))\n",
" f ([], y:ys) = Just (y, ([], ys))\n",
" f (x:xs, y:ys)\n",
" | x <= y = Just (x, (xs, y:ys))\n",
" | otherwise = Just (y, (x:xs, ys))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 29
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"split [x] = Leaf x\n",
"split xs = uncurry Node $ splitAt (length xs `div` 2) xs"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 30
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"mergesort :: Ord a => [a] -> [a]\n",
"mergesort = hylo merge split"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 31
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"mergesort [1, 6, 2, 5, 3, 4]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"[1,2,3,4,5,6]"
]
}
],
"prompt_number": 32
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"## Factorial using a hylomorphism\n",
"\n",
"We specialize `cata` and `ana` to be list-morphisms (as in *Functional Programming with Bananas, Lenses, Envelopes and Barbed Wire*)"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"listCata :: (a -> b -> b) -> b -> ListF a b -> b\n",
"listCata f z Nil = z\n",
"listCata f z (Cons x y) = f x y"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 33
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"listAna :: (b -> Bool) -> (b -> (a, b)) -> b -> ListF a b\n",
"listAna p g b\n",
" | p b = Nil\n",
" | otherwise = Cons a b' where (a, b') = g b"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 34
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"p = listCata (*) 1\n",
"g = listAna (== 0) (\\n -> (n, n - 1))\n",
"\n",
"fac = hylo p g"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 35
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fac 5"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"120"
]
}
],
"prompt_number": 36
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"Same thing but using `Data.List.unfoldr`:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import Data.List (unfoldr)\n",
"\n",
"fac' :: (Eq a, Num a) => a -> a\n",
"fac' = foldr (*) 1 . unfoldr (\\n -> if n == 0 then Nothing else Just (n, n - 1))\n",
"\n",
"fac' 5"
],
"language": "python",
"metadata": {
"hidden": false
},
"outputs": [
{
"html": [
" <div class=\"suggestion-name\" style=\"clear:both;\">Use product</div> <div class=\"suggestion-row\" style=\"float: left;\"> <div class=\"suggestion-error\">Found:</div> <div class=\"highlight-code\" id=\"haskell\">foldr (*) 1</div> </div> <div class=\"suggestion-row\" style=\"float: left;\"> <div class=\"suggestion-error\">Why Not:</div> <div class=\"highlight-code\" id=\"haskell\">product</div> </div> "
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"text": [
"Line 2: Use product\n",
"Found:\n",
"foldr (*) 1\n",
"Why not:\n",
"product"
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"metadata": {},
"output_type": "display_data",
"text": [
"120"
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"prompt_number": 44
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"## Monadic `cata`, `cataM`"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"cataM :: (Monad m, Traversable f) => (f a -> m a) -> Fix f -> m a\n",
"cataM algM = algM <=< (Data.Traversable.mapM (cataM algM) . unFix)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 38
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"Monadic evaluation function:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import Control.Monad.Reader\n",
"\n",
"evalM :: Env -> Expr -> Maybe Int\n",
"evalM env = (`runReaderT` env) . cataM algM\n",
" where\n",
" algM :: ExprF Int -> ReaderT Env Maybe Int\n",
" algM (Const n) = return n\n",
" algM (Var s) = ask >>= lift . lookup s\n",
" algM (Add x y) = return $ x + y\n",
" algM (Mul x y) = return $ x * y\n",
" algM (IfNeg t x y) = return $ bool x y (t >= 0)"
],
"language": "python",
"metadata": {
"hidden": false
},
"outputs": [],
"prompt_number": 39
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"evalM [(\"a\", 5), (\"b\", 10)] expr2"
],
"language": "python",
"metadata": {
"hidden": false
},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"text": [
"Just 50"
]
}
],
"prompt_number": 42
},
{
"cell_type": "markdown",
"metadata": {
"hidden": false
},
"source": [
"## The duality of `foldr` and `unfoldr`\n",
"\n",
"`foldr`, as defined in the Prelude, is specialized for lists and not as generic as it could be:\n",
"\n",
"```\n",
"foldr :: (a -> b -> b) -> b -> [a] -> b\n",
"foldr f z [] = z -- Base case\n",
"foldr f z (x:xs) = f x (foldr z xs)\n",
"```\n",
"\n",
"```\n",
"foldr :: (Maybe (a, b) -> b) -> [a] -> b\n",
"foldr alg [] = alg Nothing -- Base case\n",
"foldr alg (x:xs) = alg (Just (x, foldr alg xs))\n",
"```\n",
"\n",
"```\n",
"foldr :: (Maybe (a, b) -> b) -> [a] -> b\n",
"foldr alg = alg . fmap (\\(x, xs) -> (x, foldr alg xs)) . unList\n",
" where\n",
" unList [] = Nothing\n",
" unList (x:xs) = Just (x, xs)\n",
"```\n",
"\n",
"The last definition of `foldr` looks very much like the definition of `cata` and also mirrors the definition of `unfoldr`:\n",
"\n",
"```\n",
"unfoldr :: (b -> Maybe (a, b)) -> b -> [a]\n",
"```"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 41
}
],
"metadata": {}
}
]
}
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