ocaml: phase 5.1 twosum.ml baseline (LeetCode #1 one-pass hashmap, index sum = 5)
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Walks list with List.iteri, checking if target - x is already in
the hashtable; if yes, the earlier index plus current is the
answer; otherwise record the current pair.

  twosum [2;7;11;15] 9   = (0, 1)   2+7
  twosum [3;2;4]     6   = (1, 2)   2+4
  twosum [3;3]       6   = (0, 1)   3+3

Sum of i+j over each pair: 1 + 3 + 1 = 5.

Tests Hashtbl.find_opt + add (the iter-99 cleanup), List.iteri, and
tuple destructuring on let-binding (iter 98 'let (i, j) = twosum
... in').

63 baseline programs total.
This commit is contained in:
2026-05-09 13:15:05 +00:00
parent 50981a2a9b
commit 0eef5bc8e6
3 changed files with 29 additions and 0 deletions

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@@ -60,6 +60,7 @@
"zip_unzip.ml": 1000,
"sieve.ml": 15,
"sum_squares.ml": 385,
"twosum.ml": 5,
"unique_set.ml": 9,
"validate.ml": 417,
"word_count.ml": 3

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@@ -0,0 +1,17 @@
let twosum xs target =
let h = Hashtbl.create 8 in
let result = ref (-1, -1) in
List.iteri (fun i x ->
let need = target - x in
match Hashtbl.find_opt h need with
| Some j -> result := (j, i)
| None -> Hashtbl.add h x i
) xs;
!result
;;
let (i1, j1) = twosum [2;7;11;15] 9 in
let (i2, j2) = twosum [3;2;4] 6 in
let (i3, j3) = twosum [3;3] 6 in
i1 + j1 + i2 + j2 + i3 + j3

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@@ -407,6 +407,17 @@ _Newest first._
binary search tree (`type 'a tree = Leaf | Node of 'a * 'a tree *
'a tree`) with insert + in-order traversal. Tests parametric ADT,
recursive match, List.append, List.fold_left.
- 2026-05-09 Phase 5.1 — twosum.ml baseline (LeetCode #1, hashtable
one-pass, index-sum 1+3+1 = 5). Walks list with List.iteri,
checking if `target - x` is already in the hashtable; if yes, the
earlier index plus current is the answer; otherwise record the
current pair. Three test cases:
[2;7;11;15] target 9 → (0, 1)
[3;2;4] target 6 → (1, 2)
[3;3] target 6 → (0, 1)
Sum of i+j over each pair: 1+3+1 = 5. Tests Hashtbl.find_opt /
add + List.iteri + tuple destructuring on let-binding (iter 98).
63 baseline programs total.
- 2026-05-09 Phase 5.1 — bisect.ml baseline (root-finding via
bisection, sqrt(2) * 100 = 141). 50 iterations of bisection
searching for x^2 - 2 = 0 in [1, 2]. Tests higher-order function