Person. Gérard Pierre Huet [gerardhuet]

Inria

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Translation. Using zippers to handle huge trees [jsr-000Q]

December 22, 2024
Diego Olivier Fernandez Pons with contributions from Jinser Kafka
Original

This article is translated from Diego Olivier Fernandez Pons's article titled "Using zippers to handle huge trees".

本文翻译自 Diego Olivier Fernandez Pons 题为《Using zippers to handle huge trees》的文章

tips: Click on the translation to expand and view the original text. 点击译文可展开查看原文。有修复原文 typo。

嗨，

Bonjour,

2003年4月9日星期三，Yang Shouxun 写道：

我不知道如何编写尾递归版本来构建树。如果连续属性不多且数据集也不是很大，那树会在堆栈溢出之前停止生长。

（译者按：连续属性是指其在数据集中可以取无限多值，通常是实数，例如身高、温度等。）

On Wednesday, 09 Apr 2003, Yang Shouxun wrote:

> I don't know how to write a tail recursive version to build trees.
> If there are not that many continuous attributes and the dataset is
> not so large, the tree stops growing before stack overflow.

2003 年 4 月 9 日星期三，Markus Mottl 写道：

这里的诀窍是使用延续传递风格（CPS）：传递一个包含后续计算所需的所有内容的函数闭包（延续）。子函数不返回结果，而是使用结果调用延续，这使得函数成为尾递归。

On Wednesday 09 April 2003, Markus Mottl wrote:

> The trick is to use continuation passing style (CPS): you pass a
> function closure (continuation) containing everything that's needed
> in subsequent computations.  Instead of returning a result, the
> sub-function calls the continuation with the result, which makes the
> functions tail-recursive.

zipper 是一种处理巨大（实际是无限）tree 的简单方法。

Zippers are a simple way to handle huge (in fact infinite) trees.

Zipper 的解释 _{Explanation of zippers} [#261]

December 22, 2024
Diego Olivier Fernandez Pons

zipper 可以被视为一种“函数式指针”，因为它能够提供：

纯 ( purely ) 的函数式和类型化的操作
O(1) 的访问指针元素
O(1) 的指针移动

Zippers may be seen as 'functional pointers' since they offer :
- purely functional and typed operations
- O(1) access to the pointed element
- O(1) pointer movements

限制是数据结构只允许有一个指针，且每次指针移动都会分配内存。

The restrictions are that only one pointer is allowed by data structure and every pointer movement allocates memory.

采用二叉搜索树的经典类型声明

Take a classical type declaration for binary search trees

type 'a tree = E | N of 'a tree * 'a * 'a tree * int

考虑一棵二叉搜索树和一个你想要指向的内部节点。要对指向的子树进行 O(1) 访问，它必须可以直接从数据结构的基础中获取。然后，树的其余部分必须保存在单独的地方。我们将沿着从根到指向的节点的路径来解构它

Consider a binary search tree and an inner node to which you want to
point. To have a 0(1) access to the pointed subtree, it has to be
directly available from the base of the data structure. Then, the
rest of the tree must be kept in a separate place. We will deconstruct
it along the path from the root to the pointed node

type 'a path =
  | Root
  | Left of 'a * 'a tree * 'a path
  | Right of 'a tree * 'a * 'a path

type 'a zipper = 'a tree * 'a path

zipper 约束 ( constraints ) 声明如下：

指向的子树
沿着通往根的路径断开的树的其余部分

The zipper constraint as announced :
- the pointed subtree
- the rest of the tree breaked along the path to the root

接着我们定义指针的移动（数据结构中的每个指针各一个）：

Then we define the pointer movements (one for each pointer in the data structure) :

exception Bottom

(* To be replaced by a balancing constructor *)
let makeDTree = fun l v r -> N (l, v, r, 0)

let move_left = fun (tree, path) ->
  match tree with
    | E -> raise Bottom
    | N (l, v, r, _) -> (l, Left (v, r, path))

let move_right = fun (tree, path) ->
  match tree with
    | E -> raise Bottom
    | N (l, v, r, _) -> (r, Right (l, v, path))

let move_up = fun (tree, path) ->
  match path with
    | Root -> raise Top
    | Left (v, r, tail) -> (makeDTree tree v r, tail)
    | Right (l, v, tail) -> (makeDTree l v tree, tail)

现在我们可以通过以下过程构建任意大的树：

构建一棵有界深度的树
选择下一个要发展的节点
移动当前指针到那个节点
继续构建这课树

Now we can build an arbitrary large tree by the following procedure :
- build a tree of bounded depth
- choose the node which will be developed next
- move the current pointer to that node
- continue building the tree

该过程使用有界的堆栈空间。

This procedure uses a bounded stack space

代码示例 _{Examples of code} [#263]

December 22, 2024
Diego Olivier Fernandez Pons

以下是从 Baire 中提取的一些常用二叉搜索树操作的示例（insert，delete，move_pointer_to，...）（当前版本 11 avril 2003，大量错误和损坏的代码，您可以在 Baire 的下载页面中找到它） :

（译者按：Baire 相关资源基本已不可用。）

Here are some examples of usual binary search trees operations made
with zippers (insert, delete, move_pointer_to, ...) extracted from
Baire (current version 11 avril 2003, plenty of bugs and breaked
code, you will find it in Baire's download pages) :

（译者按：使用 ocamlformat 重新格式化，与原文的格式稍有不同。）

let rec move_to_top = function
  | (tree, path) as pointer ->
    (match path with
     | Root -> pointer
     | Left (v, r, tail) -> move_to_top (makeDTree tree v r, tail)
     | Right (l, v, tail) -> move_to_top (makeDTree l v tree, tail))
;;

let rec move_to x = function
  | (tree, path) as pointer ->
    (match tree with
     | E ->
       (match path with
        | Right (_, rv, _) when x <= rv -> move_to x (move_up pointer)
        | Left (lv, _, _) when x >= lv -> move_to x (move_up pointer)
        | _ -> pointer)
     | N (_, v, _, _) ->
       (match compare x v with
        | n when n < 0 ->
          (match path with
           | Right (_, rv, _) when x < rv -> move_to x (move_up pointer)
           | Right _ | Root | Left _ -> move_to x (move_left pointer))
        | n when n > 0 ->
          (match path with
           | Left (lv, _, _) when x > lv -> move_to x (move_up pointer)
           | Left _ | Root | Right _ -> move_to x (move_right pointer))
        | _ -> pointer))
;;

let rec member_path x = function
  | Right (l, v, tail) ->
    (match compare x v with
     | n when n < 0 -> member x l
     | 0 -> true
     | _ -> member_path x tail)
  | Left (v, r, tail) ->
    (match compare x v with
     | n when n > 0 -> member x r
     | 0 -> true
     | _ -> member_path x tail)
  | Root -> false
;;

let rec zipper_member x = function
  | tree, path ->
    (match tree with
     | E -> member_path x path
     | N (l, v, r, _) ->
       (match compare x v with
        | n when n < 0 ->
          (match path with
           | Right (_, rv, _) when x <= rv -> member_path x path
           | Right _ | Root | Left _ -> member x l)
        | n when n > 0 ->
          (match path with
           | Left (lv, _, _) when x >= lv -> member_path x path
           | Left _ | Root | Right _ -> member x r)
        | _ -> true))
;;

let current_tree = function
  | tree, _ -> tree
;;

let current_value = function
  | tree, _ ->
    (match tree with
     | E -> None
     | N (_, v, _, _) -> Some v)
;;

let current_value' = function
  | tree, _ ->
    (match tree with
     | E -> raise Empty
     | N (_, v, _, _) -> v)
;;

let rec zipper_insert x = function
  | (tree, path) as pointer ->
    (match tree with
     | E ->
       (match path with
        | Right (_, rv, _) when x <= rv -> zipper_insert x (move_up pointer)
        | Left (lv, _, _) when x >= lv -> zipper_insert x (move_up pointer)
        | _ -> makeTree E x E, path)
     | N (_, v, _, _) ->
       (match compare x v with
        | n when n < 0 ->
          (match path with
           | Right (_, rv, _) when x < rv -> zipper_insert x (move_up pointer)
           | Right _ | Root | Left _ -> zipper_insert x (move_left pointer))
        | n when n > 0 ->
          (match path with
           | Left (lv, _, _) when x > lv -> zipper_insert x (move_up pointer)
           | Left _ | Root | Right _ -> zipper_insert x (move_right pointer))
        | _ -> pointer))
;;

let rec zipper_delete x = function
  | (tree, path) as pointer ->
    (match tree with
     | E ->
       (match path with
        | Right (_, rv, _) when x <= rv -> zipper_delete x (move_up pointer)
        | Left (lv, _, _) when x >= lv -> zipper_delete x (move_up pointer)
        | _ -> pointer)
     | N (l, v, r, _) ->
       (match compare x v with
        | n when n < 0 ->
          (match path with
           | Right (_, rv, _) when x < rv -> zipper_delete x (move_up pointer)
           | Right _ | Root | Left _ -> zipper_delete x (move_left pointer))
        | n when n > 0 ->
          (match path with
           | Left (lv, _, _) when x > lv -> zipper_delete x (move_up pointer)
           | Left _ | Root | Right _ -> zipper_delete x (move_right pointer))
        | _ -> move_to x (appendB l r, path)))
;;

let rec path_to_list result = function
  | Root -> result
  | Left (v, r, path) -> path_to_list (result @ (v :: to_ordered_list r)) path
  | Right (l, v, path) -> path_to_list (to_ordered_list_rec (v :: result) l) path
;;

let zipper_to_list = function
  | tree, path -> path_to_list (to_list tree) path
;;

Institution. Inria [inria]

https://www.inria.fr/

Institut national de recherche en sciences et technologies du numérique

Contributions

Reference. The Zipper [huet-1997]

Almost every programmer has faced the problem of representing a tree together with a subtree that is the focus of attention, where that focus may move left, right, up or down the tree. The Zipper is Huet's nifty name for a nifty data structure which fulfills this need. I wish I had known of it when I faced this task, because the solution I came up with was not quite so efficient or elegant as the Zipper.

@article{10.1017/S0956796897002864,
  author = {Huet, G\'{e}rard},
  title = {The Zipper},
  year = {1997},
  issue_date = {September 1997},
  publisher = {Cambridge University Press},
  address = {USA},
  volume = {7},
  number = {5},
  issn = {0956-7968},
  url = {https://doi.org/10.1017/S0956796897002864},
  doi = {10.1017/S0956796897002864},
  abstract = {Almost every programmer has faced the problem of representing a tree together with a subtree that is the focus of attention, where that focus may move left, right, up or down the tree. The Zipper is Huet's nifty name for a nifty data structure which fulfills this need. I wish I had known of it when I faced this task, because the solution I came up with was not quite so efficient or elegant as the Zipper.},
  journal = {J. Funct. Program.},
  month = sep,
  pages = {549–554},
  numpages = {6}
}