Problem 8: OCAML ONLY!! We have seen the benefits of the 'fold' function for list data structures. In a similar fashion, write a function fold_inorder:('a->'b->'a)->'a->'btree->'a That does an inorder fold of the tree. The function should traverse the left subtree, visit the root, and then traverse the right subtree. For example, fold_inorder (fun acc x -> acc @ [x]) [] (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = [1;2;3] In [ ]: letrecfold_inorderfacct=(* YOUR CODE HERE *) In [ ]: assert (fold_inorder (fun acc x -> acc @ [x]) [] (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = [1;2;3]); assert (fold_inorder (fun acc x -> acc + x) 0 (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = 6). Other source code is provided within image... only use OCAML
Problem 8: OCAML ONLY!! We have seen the benefits of the 'fold' function for list data structures. In a similar fashion, write a function fold_inorder:('a->'b->'a)->'a->'btree->'a That does an inorder fold of the tree. The function should traverse the left subtree, visit the root, and then traverse the right subtree. For example, fold_inorder (fun acc x -> acc @ [x]) [] (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = [1;2;3] In [ ]: letrecfold_inorderfacct=(* YOUR CODE HERE *) In [ ]: assert (fold_inorder (fun acc x -> acc @ [x]) [] (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = [1;2;3]); assert (fold_inorder (fun acc x -> acc + x) 0 (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = 6). Other source code is provided within image... only use OCAML
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Problem 8: OCAML ONLY!!
We have seen the benefits of the 'fold' function for list data structures. In a similar fashion, write a function
fold_inorder:('a->'b->'a)->'a->'btree->'a
That does an inorder fold of the tree. The function should traverse the left subtree, visit the root, and then traverse the right subtree. For example,
fold_inorder (fun acc x -> acc @ [x]) [] (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = [1;2;3]
In [ ]:
letrecfold_inorderfacct=(* YOUR CODE HERE *)
In [ ]:
assert (fold_inorder (fun acc x -> acc @ [x]) [] (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = [1;2;3]); assert (fold_inorder (fun acc x -> acc + x) 0 (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = 6).
Other source code is provided within image... only use OCAML
![Datatypes:
Problems 8-9 are about manipulating tree data structures.
In OCaml, you can define a tree data structure using datatype:
type 'a tree = Leaf | Node of 'a tree * 'a * 'a tree
We will assume binary search trees in this assignment and can define a bineary search tree insertion function as the following:
let rec insert tree x =
match tree with
| Leaf -> Node (Leaf, x, Leaf)
| Node (1, y, r) ->
if x = y then tree
else if x < y then Node (insert 1 x, y, r)
else Node (1, y, insert r x)
We can construct a binary search tree from a list:
let construct 1 =
List.fold_left (fun acc x -> insert acc x) Leaf 1
Problem 8
We have seen the benefits of the 'fold' function for list data structures. In a similar fashion, write a function
fold_inorder ('a -> 'b -> 'a) -> 'a -> 'b tree -> 'a
That does an inorder fold of the tree. The function should traverse the left subtree, visit the root, and then traverse the right subtree. For example,
fold_inorder (fun acc x -> acc @ [x]) [] (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = [1;2;3]
In [ ]: let rec fold_inorder f acc t =
(* YOUR CODE HERE *)
=
In [ ]: assert (fold_inorder (fun acc x -> acc @[x]) [] (Node (Node (Leaf, 1, Leaf), 2, Node (Leaf, 3, Leaf)))
assert (fold_inorder (fun acc x -> acc + x) (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = 6)
[1;2;3]);](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Feb3095d4-472d-42c8-847a-ae9732c32b9b%2F272451a1-a95c-4a30-bb68-3be0f8b7a4a4%2F35c5r4_processed.png&w=3840&q=75)
Transcribed Image Text:Datatypes:
Problems 8-9 are about manipulating tree data structures.
In OCaml, you can define a tree data structure using datatype:
type 'a tree = Leaf | Node of 'a tree * 'a * 'a tree
We will assume binary search trees in this assignment and can define a bineary search tree insertion function as the following:
let rec insert tree x =
match tree with
| Leaf -> Node (Leaf, x, Leaf)
| Node (1, y, r) ->
if x = y then tree
else if x < y then Node (insert 1 x, y, r)
else Node (1, y, insert r x)
We can construct a binary search tree from a list:
let construct 1 =
List.fold_left (fun acc x -> insert acc x) Leaf 1
Problem 8
We have seen the benefits of the 'fold' function for list data structures. In a similar fashion, write a function
fold_inorder ('a -> 'b -> 'a) -> 'a -> 'b tree -> 'a
That does an inorder fold of the tree. The function should traverse the left subtree, visit the root, and then traverse the right subtree. For example,
fold_inorder (fun acc x -> acc @ [x]) [] (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = [1;2;3]
In [ ]: let rec fold_inorder f acc t =
(* YOUR CODE HERE *)
=
In [ ]: assert (fold_inorder (fun acc x -> acc @[x]) [] (Node (Node (Leaf, 1, Leaf), 2, Node (Leaf, 3, Leaf)))
assert (fold_inorder (fun acc x -> acc + x) (Node (Node (Leaf,1,Leaf), 2, Node (Leaf,3,Leaf))) = 6)
[1;2;3]);
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