Difference between revisions of "Zipper monad"
DonStewart (talk  contribs) m (ZipperMonad moved to Zipper monad) 
(Added ref to the generic zipper.) 

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−  The 
+  The Zipper Monad is a generic monad for navigating around arbitrary data structures. It supports movement, mutation and classification of nodes (is this node the top node or a child node?, etc). It was proposed and designed by Paolo Martini (xerox), and coded by David House (davidhouse). It's designed for use with [[ZipperThe Zipper]] but in fact there is no requirement to use such an idiom. 
−  As the only zipper currently available is for binary trees, this is what most of the article will be centred around. 

+  At the moment there are two specific libraries that use the Travel monad: [[Zipper_monad/TravelTreeTravelTree]] for navigating around binary trees, and [[Zipper_monad/TravelBTreeTravelBTree]] for navigating around "BTrees", trees where each node has an arbitrary number of branches. Please see below for an alternative zipper implementation that works for any data structure whatsoever. 

−  == Definition == 

+  You can [http://haskell.org/sitewiki/images/b/b7/Zipper.tar.gz download] the library in its entirety. To run the tests: 

−  <haskell> 

−  newtype Travel t a = Travel { unT :: State t a } 

−  deriving (Functor, Monad, MonadState t) 

−  type TravelTree a = Travel (Loc a) (Tree a)  for trees 

−  </haskell> 

−  Computations in <hask>TravelTree</hask> are stateful. <hask>Loc a</hask> and <hask>Tree a</hask> are defined as follows: 

+  tar xzf Zipper.tar.gz 

+  cd Zipper 

+  ghc o test make Main.hs 

+  ./test 

+  == Definition == 

<haskell> 
<haskell> 

−  data 
+  data Loc c a = Loc { struct :: a, 
−  +  cxt :: c } 

−  +  deriving (Show, Eq) 

−   L (Cxt a) (Tree a) 

−   R (Tree a) (Cxt a) 

−  deriving (Show) 

−  type Loc a = (Tree a, Cxt a) 

+  newtype Travel loc a = Travel { unT :: State loc a } 

+  deriving (Functor, Monad, MonadState loc, Eq) 

</haskell> 
</haskell> 

−  See [[TheZipper]] for an explanation of the <hask>Cxt</hask> and <hask>Loc</hask> concepts. 

+  Computations in <hask>Travel</hask> are stateful. <hask>Loc c a</hask> is a type for storing the location within a structure. <hask>struct</hask> should be the substructure that the <hask>Loc</hask> is refering to, and <hask>cxt</hask> the "context" of the substructure; i.e. the rest of the structure. <hask>Loc</hask> is designed to hold a [[Zipper]] (although it doesn't have to; for example if you wanted to traverse a list it would probably be more natural to hold the entire structure and an index). Indeed, both of the libraries provided with the generic <hask>Travel</hask> monad use a zipper. 

== Functions == 
== Functions == 

−  === Moving around === 

−  There are four main functions for stringing together <hask>TravelTree</hask> computations: 

−  <haskell> 

+  === Movement === 

−  left,  moves down a level, through the left branch 

+  At the moment, movement is specific to the structure you are traversing and as such, the movement functions are provided by libraries implementing specific structures. Try the documentation for [[Zipper_monad/TravelTreeTravelTree]] (binary trees) or [[Zipper_monad/TravelBTreeTravelBTree]] (BTrees; trees where each node has an arbitrary number of branches). 

−  right,  moves down a level, through the right branch 

−  up,  moves to the node's parent 

−  top  moves to the top node 

−  :: TravelTree a 

−  </haskell> 

−  
−  All four return the subtree at the new location. 

=== Mutation === 
=== Mutation === 

−  There are 
+  There are three generic functions available for changing the structure: 
<haskell> 
<haskell> 

−  +  getStruct :: Travel (Loc c a) a 

−  +  putStruct :: a > Travel (Loc c a) a 

−  +  modifyStruct :: (a > a) > Travel (Loc c a) a 

</haskell> 
</haskell> 

−  These are direct frontdoors for State's <hask>get</hask>, <hask>put</hask> and <hask>modify</hask>, and all three return the 
+  These are direct frontdoors for State's <hask>get</hask>, <hask>put</hask> and <hask>modify</hask>, and all three return the substructure after any applicable modifications. 
=== Exit points === 
=== Exit points === 

Line 51:  Line 42:  
<haskell> 
<haskell> 

−  traverse :: 
+  traverse :: Loc c a  starting location (initial state) 
+  > Travel (Loc c a) a  locational computation to use 

+  > a  resulting substructure 

</haskell> 
</haskell> 

−  Again, this is just a frontdoor for <hask>evalState</hask> 
+  Again, this is just a frontdoor for <hask>evalState</hask>. Note that you have to give a <hask>Loc</hask> as a starting state. Both the libraries provided supply a <hask>getTop</hask> function, which takes a tree and returns the <hask>Loc</hask> corresponding to the top of the tree. Thus a typical call to <hask>traverse</hask> might look like: 
−  
−  == Examples == 

−  The following examples use as the example tree: 

<haskell> 
<haskell> 

−  t = Branch ( 
+  let t = Branch (Leaf 1) (Branch (Leaf 2) (Leaf 3)) 
−  +  in (getTop t) `traverse` (left >> swap >> right) 

−  (Branch (Leaf 4) 

−  (Leaf 5)) 

</haskell> 
</haskell> 

−  [[Image:Tree.pngframerightThe example tree]] 

+  == Examples == 

−  
−  === A simple path === 

−  This is a very simple example showing how to use the movement functions: 

−  <haskell> 

−  leftLeftRight :: TravelTree a 

−  leftLeftRight = do left 

−  left 

−  right 

−  </haskell> 

−  
−  Result of evaluation: 

−  
−  *Tree> t `traverse` leftLeftRight 

−  Leaf 2 

−  
−  === Tree reverser === 

−  This is a more indepth example showing <hask>getTree</hask> and <hask>putTree</hask>, but is still rather contrived as it's easily done without the zipper (the zipperless version is shown below). 

−  
−  The algorithm ''reverses'' the tree, in the sense that at every branch, the two subtrees are swapped over. 

−  
−  <haskell> 

−  revTree :: Tree a > Tree a 

−  revTree t = t `traverse` revTree' where 

−  revTree' :: TravelTree a 

−  revTree' = do t < getTree 

−  case t of 

−  Branch _ _ > do left 

−  l' < revTree' 

−  up 

−  right 

−  r' < revTree' 

−  up 

−  putTree $ Branch r' l' 

−  Leaf x > return $ Leaf x 

−  
−   without using the zipper: 

−  revTreeZipless :: Tree a > Tree a 

−  revTreeZipless (Leaf x) = Leaf x 

−  revTreeZipless (Branch xs ys) = Branch (revTreeZipless ys) (revTreeZipless xs) 

−  </haskell> 

−  
−  Result of evaluation: 

−  
−  *Tree> revTree $ Branch (Leaf 1) (Branch (Branch (Leaf 2) (Leaf 3)) (Leaf 4)) 

−  Branch (Branch (Leaf 4) (Branch (Leaf 3) (Leaf 2))) (Leaf 1) 

−  
−  ==== Generalisation ==== 

−  Einar Karttunen (musasabi) suggested generalising this to a recursive tree combinator: 

−  
−  <haskell> 

−  treeComb :: (a > Tree a)  what to put at leaves 

−  > (Tree a > Tree a > Tree a)  what to put at branches 

−  > (Tree a > Tree a)  combinator function 

−  treeComb leaf branch = \t > t `traverse` treeComb' where 

−  treeComb' = do t < getTree 

−  case t of 

−  Branch _ _ > do left 

−  l' < treeComb' 

−  up 

−  right 

−  r' < treeComb' 

−  up 

−  putTree $ branch l' r' 

−  Leaf x > return $ leaf x 

−  </haskell> 

−  
−  <hask>revTree</hask> is then easy: 

−  
−  <haskell> 

−  revTreeZipper :: Tree a > Tree a 

−  revTreeZipper = treeComb Leaf (flip Branch) 

−  </haskell> 

−  
−  It turns out this is a fairly powerful combinator. As with <hask>revTree</hask>, it can change the structure of a tree. Here's another example which turns a tree into one where siblings are sorted, i.e. given a <hask>Branch l r</hask>, if <hask>l</hask> and <hask>r</hask> are leaves, then the value of <hask>l</hask> is less than or equal to that of <hask>r</hask>. Also, if one of <hask>l</hask> or <hask>r</hask> is a <hask>Branch</hask> and the other a <hask>Leaf</hask>, then <hask>l</hask> is the <hask>Leaf</hask> and <hask>r</hask> the <hask>Branch</hask>: 

−  
−  <haskell> 

−  sortSiblings :: Ord a => Tree a > Tree a 

−  sortSiblings = treeComb Leaf minLeaves where 

−  minLeaves l@(Branch _ _) r@(Leaf _ ) = Branch r l 

−  minLeaves l@(Leaf _) r@(Branch _ _ ) = Branch l r 

−  minLeaves l@(Branch _ _) r@(Branch _ _ ) = Branch l r 

−  minLeaves l@(Leaf x) r@(Leaf y ) = Branch (Leaf $ min x y) 

−  (Leaf $ max x y) 

−  </haskell> 

−  Result of evaluation: 

+  <hask>Travel</hask> is too general to be used in itself, so there are examples given on the documentation pages for the libraries. Here are the links again: 

−  *Tree> sortSiblings t 

+  * [[Zipper_monad/TravelTreeTravelTree]] for binary trees. 

−  Branch (Branch (Leaf 3) (Branch (Leaf 1) (Leaf 2))) (Branch (Leaf 4) (Leaf 5)) 

+  * [[Zipper_monad/TravelBTreeTravelBTree]] for BTrees; trees where each node has an arbitrary number of branches. 

== Code == 
== Code == 

−  Here's the Zipper Monad in full: 

+  Here's the base Zipper monad in full ([http://haskell.org/sitewiki/images/3/36/Zipper.hs download] or download the [http://haskell.org/sitewiki/images/b/b7/Zipper.tar.gz entire library]): 

<haskell> 
<haskell> 

+  {# OPTIONS_GHC fglasgowexts #} 

module Zipper where 
module Zipper where 

−   A monad implementing 
+   A monad implementing for traversing data structures 
−   http://haskell.org/haskellwiki/ 
+   http://haskell.org/haskellwiki/Zipper_monad 
 
 

import Control.Monad.State 
import Control.Monad.State 

−  import Control.Arrow (first, second) 

−  data Tree a = Leaf a  Branch (Tree a) (Tree a) deriving (Show, Eq) 

+  data Loc c a = Loc { struct :: a, 

+  cxt :: c } 

+  deriving (Show, Eq) 

−  data Cxt a = Top 

+  newtype Travel loc a = Travel { unT :: State loc a } 

−   L (Cxt a) (Tree a) 

+  deriving (Functor, Monad, MonadState loc, Eq) 

−   R (Tree a) (Cxt a) 

−  deriving (Show) 

−  type Loc a = (Tree a, Cxt a) 

+   Exit Points 

−  
−  newtype Travel t a = Travel { unT :: State t a } 

−  deriving (Functor, Monad, MonadState t) 

−  type TravelTree a = Travel (Loc a) (Tree a) 

−  
−   Movement around the tree 

 
 

−   move down a level, through the left branch 

+   get out of the monad 

−  left :: TravelTree a 

+  traverse :: Loc c a  starting location (initial state) 

−  left = modify left' >> liftM fst get where 

+  > Travel (Loc c a) a  locational computation to use 

−  left' (Branch l r, c) = (l, L c r) 

+  > a  resulting substructure 

+  traverse start tt = evalState (unT tt) start 

−   move down a level, through the left branch 

+   Mutation 

−  right :: TravelTree a 

+   

−  right = modify right' >> liftM fst get where 

−  right' (Branch l r, c) = (r, R l c) 

−   move to a node's parent 

+   modify the substructure at the current node 

−  up :: TravelTree a 

+  modifyStruct :: (a > a) > Travel (Loc c a) a 

−  +  modifyStruct f = modify editStruct >> liftM struct get where 

−  +  editStruct (Loc s c) = Loc (f s) c 

−  up' (t, R l c) = (Branch l t, c) 

−   
+   put a new substructure at the current node 
−  +  putStruct :: a > Travel (Loc c a) a 

−  +  putStruct t = modifyStruct $ const t 

−   Mutation of the tree 

+   get the current substructure 

−   

+  getStruct :: Travel (Loc c a) a 

+  getStruct = modifyStruct id  works because modifyTree returns the 'new' tree 

+  </haskell> 

−   modify the subtree at the current node 

+  == Alternative implementation == 

−  modifyTree :: (Tree a > Tree a) > TravelTree a 

−  modifyTree f = modify (first f) >> liftM fst get 

−   put a new subtree at the current node 

+  An alternative implementation, which is polymorphic over data structures 

−  putTree :: Tree a > TravelTree a 

+  and so can be written once and for all, is available at 

−  putTree t = modifyTree $ const t 

+  [http://pobox.com/~oleg/ftp/Computation/Continuations.html#zipper Generic Zipper and its applications] 

−  
+  The code on that page served as the basis for a Zipperbased file system. 

−   get the current node and its descendants 

−  getTree :: TravelTree a 

−  getTree = modifyTree id  works because modifyTree returns the 'new' tree 

−  
−   Exit points 

−   

−  
−   get out of the monad 

−  traverse :: Tree a > TravelTree a > Tree a 

−  traverse t tt = evalState (unT tt) (t, Top) 

−  </haskell> 

[[Category:Idioms]] 
[[Category:Idioms]] 

+  [[Category:Monad]] 
Latest revision as of 01:00, 9 October 2006
The Zipper Monad is a generic monad for navigating around arbitrary data structures. It supports movement, mutation and classification of nodes (is this node the top node or a child node?, etc). It was proposed and designed by Paolo Martini (xerox), and coded by David House (davidhouse). It's designed for use with The Zipper but in fact there is no requirement to use such an idiom.
At the moment there are two specific libraries that use the Travel monad: TravelTree for navigating around binary trees, and TravelBTree for navigating around "BTrees", trees where each node has an arbitrary number of branches. Please see below for an alternative zipper implementation that works for any data structure whatsoever.
You can download the library in its entirety. To run the tests:
tar xzf Zipper.tar.gz cd Zipper ghc o test make Main.hs ./test
Contents
Definition
data Loc c a = Loc { struct :: a,
cxt :: c }
deriving (Show, Eq)
newtype Travel loc a = Travel { unT :: State loc a }
deriving (Functor, Monad, MonadState loc, Eq)
Computations in Travel
are stateful. Loc c a
is a type for storing the location within a structure. struct
should be the substructure that the Loc
is refering to, and cxt
the "context" of the substructure; i.e. the rest of the structure. Loc
is designed to hold a Zipper (although it doesn't have to; for example if you wanted to traverse a list it would probably be more natural to hold the entire structure and an index). Indeed, both of the libraries provided with the generic Travel
monad use a zipper.
Functions
Movement
At the moment, movement is specific to the structure you are traversing and as such, the movement functions are provided by libraries implementing specific structures. Try the documentation for TravelTree (binary trees) or TravelBTree (BTrees; trees where each node has an arbitrary number of branches).
Mutation
There are three generic functions available for changing the structure:
getStruct :: Travel (Loc c a) a
putStruct :: a > Travel (Loc c a) a
modifyStruct :: (a > a) > Travel (Loc c a) a
These are direct frontdoors for State's get
, put
and modify
, and all three return the substructure after any applicable modifications.
Exit points
To get out of the monad, use traverse
:
traverse :: Loc c a  starting location (initial state)
> Travel (Loc c a) a  locational computation to use
> a  resulting substructure
Again, this is just a frontdoor for evalState
. Note that you have to give a Loc
as a starting state. Both the libraries provided supply a getTop
function, which takes a tree and returns the Loc
corresponding to the top of the tree. Thus a typical call to traverse
might look like:
let t = Branch (Leaf 1) (Branch (Leaf 2) (Leaf 3))
in (getTop t) `traverse` (left >> swap >> right)
Examples
Travel
is too general to be used in itself, so there are examples given on the documentation pages for the libraries. Here are the links again:
 TravelTree for binary trees.
 TravelBTree for BTrees; trees where each node has an arbitrary number of branches.
Code
Here's the base Zipper monad in full (download or download the entire library):
{# OPTIONS_GHC fglasgowexts #}
module Zipper where
 A monad implementing for traversing data structures
 http://haskell.org/haskellwiki/Zipper_monad

import Control.Monad.State
data Loc c a = Loc { struct :: a,
cxt :: c }
deriving (Show, Eq)
newtype Travel loc a = Travel { unT :: State loc a }
deriving (Functor, Monad, MonadState loc, Eq)
 Exit Points

 get out of the monad
traverse :: Loc c a  starting location (initial state)
> Travel (Loc c a) a  locational computation to use
> a  resulting substructure
traverse start tt = evalState (unT tt) start
 Mutation

 modify the substructure at the current node
modifyStruct :: (a > a) > Travel (Loc c a) a
modifyStruct f = modify editStruct >> liftM struct get where
editStruct (Loc s c) = Loc (f s) c
 put a new substructure at the current node
putStruct :: a > Travel (Loc c a) a
putStruct t = modifyStruct $ const t
 get the current substructure
getStruct :: Travel (Loc c a) a
getStruct = modifyStruct id  works because modifyTree returns the 'new' tree
Alternative implementation
An alternative implementation, which is polymorphic over data structures and so can be written once and for all, is available at Generic Zipper and its applications The code on that page served as the basis for a Zipperbased file system.