如何在这个F#程序(递归树搜索)中避免堆栈溢出?

如何在这个F#程序(递归树搜索)中避免堆栈溢出?,f#,F#,我有这样一个受歧视的联合树: type rbtree = | LeafB of int | LeafR of int | Node of int*rbtree*rbtree internal static a tail@13<a>(FSharpList<int> results, FSharpFunc<FSharpList<int>, a> continuation, Program.rbtree tree) { wh

我有这样一个受歧视的联合树:

type rbtree =
    | LeafB of int
    | LeafR of int
    | Node of int*rbtree*rbtree
internal static a tail@13<a>(FSharpList<int> results, FSharpFunc<FSharpList<int>, a> continuation, Program.rbtree tree)
{
  while (true)
  {
    Program.rbtree rbtree = tree;
    if (rbtree is Program.rbtree.LeafR)
    {
      goto IL_34;
    }
    if (!(rbtree is Program.rbtree.Node))
    {
      break;
    }
    Program.rbtree.Node node = (Program.rbtree.Node)tree;
    Program.rbtree rt = node.item3;
    FSharpList<int> arg_5E_0 = results;
    FSharpFunc<FSharpList<int>, a> arg_5C_0 = new Program<a>.tail@17-1(continuation, rt);
    tree = node.item2;
    continuation = arg_5C_0;
    results = arg_5E_0;
  }
  Program.rbtree.LeafB leafB = (Program.rbtree.LeafB)tree;
  int v = leafB.item;
  return continuation.Invoke(FSharpList<int>.Cons(v, results));
  IL_34:
  return continuation.Invoke(results);
}
我要做的是搜索树中的每个LeafB,所以我使用了一个递归函数:

let rec searchB (tree:rbtree) : rbtree list = 
    match tree with
    | LeafB(n) -> LeafB(n)::searchB tree
    | LeafR(n) -> []
    | Node(n,left,right) -> List.append (searchB left) (searchB right)

但当我尝试测试它时,我得到了堆栈溢出异常,我不知道如何修改它以使其正常工作

哦,我可能会想出一个解决办法:

let rec searchB (tree:rbtree) : rbtree list = 
match tree with
| LeafB(n) -> LeafB(n)::[]
| LeafR(n) -> []
| Node(n,left,right) -> List.append (searchB left) (searchB right)

现在,当我尝试它时,它看起来工作正常

正如@kvb所说,您的更新版本不是真正的tail rec,并且可能会导致堆栈溢出

您可以使用continuations,本质上使用堆空间而不是堆栈空间

let searchB_ tree =
  let rec tail results continuation tree =
    match tree with
    | LeafB v           -> continuation (v::results)
    | LeafR _           -> continuation results
    | Node  (_, lt, rt) -> tail results (fun leftResults -> tail leftResults continuation rt) lt
  tail [] id tree |> List.rev
如果我们在
ILSpy
中查看生成的代码,它基本上如下所示:

type rbtree =
    | LeafB of int
    | LeafR of int
    | Node of int*rbtree*rbtree
internal static a tail@13<a>(FSharpList<int> results, FSharpFunc<FSharpList<int>, a> continuation, Program.rbtree tree)
{
  while (true)
  {
    Program.rbtree rbtree = tree;
    if (rbtree is Program.rbtree.LeafR)
    {
      goto IL_34;
    }
    if (!(rbtree is Program.rbtree.Node))
    {
      break;
    }
    Program.rbtree.Node node = (Program.rbtree.Node)tree;
    Program.rbtree rt = node.item3;
    FSharpList<int> arg_5E_0 = results;
    FSharpFunc<FSharpList<int>, a> arg_5C_0 = new Program<a>.tail@17-1(continuation, rt);
    tree = node.item2;
    continuation = arg_5C_0;
    results = arg_5E_0;
  }
  Program.rbtree.LeafB leafB = (Program.rbtree.LeafB)tree;
  int v = leafB.item;
  return continuation.Invoke(FSharpList<int>.Cons(v, results));
  IL_34:
  return continuation.Invoke(results);
}
我们在函数
Operators.op_Append(Program.searchB(左),Program.searchB(右))的末尾看到递归调用

因此,尾部递归函数分配continuations函数,而不是创建新的堆栈框架。我们仍然可以用完堆,但堆比堆栈多得多

演示stackoverflow的完整示例:

type rbtree =
  | LeafB of int
  | LeafR of int
  | Node  of int*rbtree*rbtree

let rec searchB tree = 
  match tree with
  | LeafB(n) -> n::[]
  | LeafR(n) -> []
  | Node(n,left,right) -> List.append (searchB left) (searchB right)

let searchB_ tree =
  let rec tail results continuation tree =
    match tree with
    | LeafB v           -> continuation (v::results)
    | LeafR _           -> continuation results
    | Node  (_, lt, rt) -> tail results (fun leftResults -> tail leftResults continuation rt) lt
  tail [] id tree |> List.rev

let rec genTree n =
  let rec loop i t =
    if i > 0 then
      loop (i - 1) (Node (i, t, LeafB i))
    else
      t
  loop n (LeafB n)

[<EntryPoint>]
let main argv =
  printfn "generate left leaning tree..."
  let tree  = genTree 100000
  printfn "tail rec"
  let s     = searchB_  tree
  printfn "rec"
  let f     = searchB   tree

  printfn "Is equal? %A" (f = s)

  0
键入rbtree=
|整型叶B
|整型叶
|int*rbtree*rbtree的节点
让rec搜索B树=
匹配树
|LeafB(n)->n::[]
|利弗(n)->[]
|节点(n,左,右)->List.append(searchB左)(searchB右)
让我们来搜索b_u树=
让rec跟踪结果延续树=
匹配树
|LeafB v->继续(v::结果)
|leaver uu->继续结果
|节点(u,lt,rt)->尾部结果(有趣的leftResults->tail leftResults continuation rt)lt
tail[]id tree |>List.rev
让我们来讨论一下=
让rec循环i t=
如果i>0,那么
循环(i-1)(节点(i,t,b i))
其他的
T
循环n(LeafB n)
[]
让主argv=
printfn“生成左倾树…”
let tree=genTree 100000
打印fn“尾部记录”
设s=searchB_uu树
printfn“rec”
设f=searchB树
printfn“是否相等?%A”(f=s)
0

只要你的树不太深,这就行了;但是,请注意,对
searchB
的递归调用将导致堆栈增长,因此对于非常深的树,仍然可能出现堆栈溢出。