| 1 | // Binary Search Tree example by @SleepyRoy |
| 2 | |
| 3 | struct Empty {} |
| 4 | |
| 5 | struct Node[T] { |
| 6 | value T |
| 7 | left Tree[T] |
| 8 | right Tree[T] |
| 9 | } |
| 10 | |
| 11 | type Tree[T] = Empty | Node[T] |
| 12 | |
| 13 | // return size(number of nodes) of BST |
| 14 | fn (tree Tree[T]) size[T]() int { |
| 15 | return match tree { |
| 16 | Empty { 0 } |
| 17 | Node[T] { 1 + tree.left.size() + tree.right.size() } |
| 18 | } |
| 19 | } |
| 20 | |
| 21 | // insert a value to BST |
| 22 | fn (tree Tree[T]) insert[T](x T) Tree[T] { |
| 23 | return match tree { |
| 24 | Empty { |
| 25 | Node[T]{x, tree, tree} |
| 26 | } |
| 27 | Node[T] { |
| 28 | if x == tree.value { |
| 29 | tree |
| 30 | } else if x < tree.value { |
| 31 | Node[T]{ |
| 32 | ...tree |
| 33 | left: tree.left.insert(x) |
| 34 | } |
| 35 | } else { |
| 36 | Node[T]{ |
| 37 | ...tree |
| 38 | right: tree.right.insert(x) |
| 39 | } |
| 40 | } |
| 41 | } |
| 42 | } |
| 43 | } |
| 44 | |
| 45 | // whether able to find a value in BST |
| 46 | fn (tree Tree[T]) search[T](x T) bool { |
| 47 | return match tree { |
| 48 | Empty { |
| 49 | false |
| 50 | } |
| 51 | Node[T] { |
| 52 | if x == tree.value { |
| 53 | true |
| 54 | } else if x < tree.value { |
| 55 | tree.left.search(x) |
| 56 | } else { |
| 57 | tree.right.search(x) |
| 58 | } |
| 59 | } |
| 60 | } |
| 61 | } |
| 62 | |
| 63 | // find the minimal value of a BST |
| 64 | fn (tree Tree[T]) min[T]() T { |
| 65 | return match tree { |
| 66 | Empty { |
| 67 | T(1e9) |
| 68 | } |
| 69 | Node[T] { |
| 70 | if tree.value < tree.left.min() { |
| 71 | tree.value |
| 72 | } else { |
| 73 | tree.left.min() |
| 74 | } |
| 75 | } |
| 76 | } |
| 77 | } |
| 78 | |
| 79 | // delete a value in BST (if nonexistent do nothing) |
| 80 | fn (tree Tree[T]) delete[T](x T) Tree[T] { |
| 81 | return match tree { |
| 82 | Empty { |
| 83 | tree |
| 84 | } |
| 85 | Node[T] { |
| 86 | if tree.left !is Empty && tree.right !is Empty { |
| 87 | if x < tree.value { |
| 88 | Node[T]{ |
| 89 | ...tree |
| 90 | left: tree.left.delete(x) |
| 91 | } |
| 92 | } else if x > tree.value { |
| 93 | Node[T]{ |
| 94 | ...tree |
| 95 | right: tree.right.delete(x) |
| 96 | } |
| 97 | } else { |
| 98 | Node[T]{ |
| 99 | ...tree |
| 100 | value: tree.right.min() |
| 101 | right: tree.right.delete(tree.right.min()) |
| 102 | } |
| 103 | } |
| 104 | } else if tree.left !is Empty { |
| 105 | if x == tree.value { |
| 106 | tree.left |
| 107 | } else { |
| 108 | Node[T]{ |
| 109 | ...tree |
| 110 | left: tree.left.delete(x) |
| 111 | } |
| 112 | } |
| 113 | } else { |
| 114 | if x == tree.value { |
| 115 | tree.right |
| 116 | } else { |
| 117 | Node[T]{ |
| 118 | ...tree |
| 119 | right: tree.right.delete(x) |
| 120 | } |
| 121 | } |
| 122 | } |
| 123 | } |
| 124 | } |
| 125 | } |
| 126 | |
| 127 | fn main() { |
| 128 | mut tree := Tree[f64](Empty{}) |
| 129 | vals := [0.2, 0.0, 0.5, 0.3, 0.6, 0.8, 0.9, 1.0, 0.1, 0.4, 0.7] |
| 130 | for i in vals { |
| 131 | tree = tree.insert(i) |
| 132 | } |
| 133 | println('[1] after insertion tree size is ${tree.size()}') // 11 |
| 134 | del_vals := [-0.3, 0.0, 0.3, 0.6, 1.0, 1.5] |
| 135 | for i in del_vals { |
| 136 | tree = tree.delete(i) |
| 137 | } |
| 138 | print('[2] after deletion tree size is ${tree.size()}, ') // 7 |
| 139 | print('and these elements were deleted: ') // 0.0 0.3 0.6 1.0 |
| 140 | for i in vals { |
| 141 | if !tree.search(i) { |
| 142 | print('${i} ') |
| 143 | } |
| 144 | } |
| 145 | println('') |
| 146 | } |
| 147 | |