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binary-search-tree: port exercise (#370)
Canonical version 1.0.0 from exercism/problem-specifications#940 This commit does not contain a test generator for the exercise.
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default: clean test | ||
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test: | ||
dune runtest | ||
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clean: | ||
dune clean | ||
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.PHONY: clean |
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# Binary Search Tree | ||
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Insert and search for numbers in a binary tree. | ||
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When we need to represent sorted data, an array does not make a good | ||
data structure. | ||
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Say we have the array `[1, 3, 4, 5]`, and we add 2 to it so it becomes | ||
`[1, 3, 4, 5, 2]` now we must sort the entire array again! We can | ||
improve on this by realizing that we only need to make space for the new | ||
item `[1, nil, 3, 4, 5]`, and then adding the item in the space we | ||
added. But this still requires us to shift many elements down by one. | ||
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Binary Search Trees, however, can operate on sorted data much more | ||
efficiently. | ||
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A binary search tree consists of a series of connected nodes. Each node | ||
contains a piece of data (e.g. the number 3), a variable named `left`, | ||
and a variable named `right`. The `left` and `right` variables point at | ||
`nil`, or other nodes. Since these other nodes in turn have other nodes | ||
beneath them, we say that the left and right variables are pointing at | ||
subtrees. All data in the left subtree is less than or equal to the | ||
current node's data, and all data in the right subtree is greater than | ||
the current node's data. | ||
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For example, if we had a node containing the data 4, and we added the | ||
data 2, our tree would look like this: | ||
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4 | ||
/ | ||
2 | ||
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If we then added 6, it would look like this: | ||
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4 | ||
/ \ | ||
2 6 | ||
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If we then added 3, it would look like this | ||
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4 | ||
/ \ | ||
2 6 | ||
\ | ||
3 | ||
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And if we then added 1, 5, and 7, it would look like this | ||
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4 | ||
/ \ | ||
/ \ | ||
2 6 | ||
/ \ / \ | ||
1 3 5 7 | ||
## Source | ||
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Josh Cheek [https://twitter.com/josh_cheek](https://twitter.com/josh_cheek) | ||
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## Submitting Incomplete Solutions | ||
It's possible to submit an incomplete solution so you can see how others have completed the exercise. |
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open Base | ||
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type bst | ||
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let empty = failwith "'empty' is missing" | ||
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let value _ = failwith "'value' is missing" | ||
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let left _ = failwith "'left' is missing" | ||
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let right _ = failwith "'right' is missing" | ||
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let insert _ _ = failwith "'insert' is missing" | ||
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let to_list _ = failwith "'to_list' is missing" | ||
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open Base | ||
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type bst | ||
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val empty : bst | ||
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val value : bst -> (int, string) Result.t | ||
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val left : bst -> (bst, string) Result.t | ||
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val right : bst -> (bst, string) Result.t | ||
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val insert : int -> bst -> bst | ||
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val to_list : bst -> int list | ||
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(executable | ||
(name test) | ||
(libraries base oUnit)) | ||
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(alias | ||
(name runtest) | ||
(deps (:x test.exe)) | ||
(action (run %{x}))) | ||
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(alias | ||
(name buildtest) | ||
(deps (:x test.exe))) | ||
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(env | ||
(dev | ||
(flags (:standard -warn-error -A)))) |
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(lang dune 1.1) | ||
(version 1.0.0) |
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open Base | ||
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type bst = Leaf | Node of bst * int * bst | ||
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let empty = Leaf | ||
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let value = function | ||
| Leaf -> Error "empty tree" | ||
| Node(_, v, _) -> Ok v | ||
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let left = function | ||
| Leaf -> Error "empty tree" | ||
| Node(l, _, _) -> Ok l | ||
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let right = function | ||
| Leaf -> Error "empty tree" | ||
| Node(_, _, r) -> Ok r | ||
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let rec insert v = function | ||
| Leaf -> Node(Leaf, v, Leaf) | ||
| Node(l, v', r) when v <= v' -> Node(insert v l, v', r) | ||
| Node(l, v', r) -> Node(l, v', insert v r) | ||
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let rec to_list = function | ||
| Leaf -> [] | ||
| Node(l, v, r) -> to_list(l) @ [v] @ to_list(r) |
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(* binary-search-tree - 1.0.0 *) | ||
open Base | ||
open OUnit2 | ||
open Binary_search_tree | ||
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let result_to_string f = function | ||
| Error m -> Printf.sprintf "Error \"%s\"" m | ||
| Ok x -> f x |> Printf.sprintf "Some %s" | ||
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let ae exp got _test_ctxt = | ||
assert_equal ~printer:(result_to_string Int.to_string) exp got | ||
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let intlist_to_string l = | ||
List.map l ~f:Int.to_string | ||
|> List.intersperse ~sep:"; " | ||
|> List.fold ~init:"" ~f:(^) | ||
|> fun s -> "[" ^ s ^ "]" | ||
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let ael exp got _test_ctxt = | ||
assert_equal ~printer:intlist_to_string exp got | ||
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let tests = | ||
let t4 = empty |> insert 4 in | ||
let t42 = t4 |> insert 2 in | ||
let l2 = t42 |> left in | ||
let t44 = t4 |> insert 4 in | ||
let l4 = t44 |> left in | ||
let t45 = t4 |> insert 5 in | ||
let r5 = t45 |> right in | ||
let t4261357 = t42 |> insert 6 |> insert 1 |> insert 3 |> insert 5 |> insert 7 in | ||
let t2 = empty |> insert 2 in | ||
let t21 = t2 |> insert 1 in | ||
let t22 = t2 |> insert 2 in | ||
let t23 = t2 |> insert 3 in | ||
let t213675 = t21 |> insert 3 |> insert 6 |> insert 7 |> insert 5 in | ||
[ | ||
"data is retained" >:: ae (Ok 4) (value t4); | ||
"smaller number at left node 1" >:: ae (Ok 4) (value t42); | ||
"smaller number at left node 2" >:: ae (Ok 2) (Result.bind l2 ~f:value); | ||
"same number at left node 1" >:: ae (Ok 4) (value t44); | ||
"same number at left node 2" >:: ae (Ok 4) (Result.bind l4 ~f:value); | ||
"greater number at right node 1" >:: ae (Ok 4) (value t45); | ||
"greater number at right node 2" >:: ae (Ok 5) (Result.bind r5 ~f:value); | ||
"can create complex tree 1" >:: ae (Ok 4) (value t4261357); | ||
"can create complex tree 2" >:: ae (Ok 2) (Result.bind (t4261357 |> left) ~f:value); | ||
"can create complex tree 3" >:: ae (Ok 1) (Result.bind (Result.bind (t4261357 |> left) ~f:left) ~f:value); | ||
"can create complex tree 4" >:: ae (Ok 3) (Result.bind (Result.bind (t4261357 |> left) ~f:right) ~f:value); | ||
"can create complex tree 5" >:: ae (Ok 6) (Result.bind (t4261357 |> right) ~f:value); | ||
"can create complex tree 6" >:: ae (Ok 5) (Result.bind (Result.bind (t4261357 |> right) ~f:left) ~f:value); | ||
"can create complex tree 7" >:: ae (Ok 7) (Result.bind (Result.bind (t4261357 |> right) ~f:right) ~f:value); | ||
"can sort single number" >:: ael [2] (to_list t2); | ||
"can sort if second number is smaller than first" >:: ael [1;2] (to_list t21); | ||
"can sort if second number is same as first" >:: ael [2;2] (to_list t22); | ||
"can sort if second number is greater than first" >:: ael [2;3] (to_list t23); | ||
"can sort complex tree" >:: ael [1; 2; 3; 5; 6; 7] (to_list t213675); | ||
] | ||
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let () = | ||
run_test_tt_main ("binary-search-tree tests" >::: tests) |