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December 5, 2019 22:37
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Implementacja kd-drzewa.
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class Point extends Array { | |
get x() { return this[0] } | |
get y() { return this[1] } | |
set x(x) { this[0] = x } | |
set y(y) { this[1] = y } | |
} | |
const pointInRange = (point, min, max) => point.every((val, ax) => min[ax] <= val && val <= max[ax]) | |
function medianPart(arr, ax) { | |
arr.sort((a, b) => a[ax] - b[ax]) | |
let split = arr.length / 2 | 0 | |
const sp = arr[split][ax] | |
while (split > 1 && arr[split - 1][ax] == sp) | |
split-- | |
return [arr.slice(0, split), arr[split], arr.slice(split + 1)] | |
} | |
function buildTree (dim, points, depth = 0) { | |
if (points.length == 0) return null | |
const ax = depth % dim | |
const [low, median, high] = medianPart(points, ax) | |
return { | |
low: buildTree(dim, low, depth + 1), | |
high: buildTree(dim, high, depth + 1), | |
value: median | |
} | |
} | |
function query(dim, tree, min, max) { | |
const points = [] | |
const query = (tree, depth) => { | |
if (tree == null) return | |
const ax = depth % dim | |
if (tree.value[ax] < min[ax]) query(tree.high, depth + 1) | |
else if (tree.value[ax] > max[ax]) query(tree.low, depth + 1) | |
else { | |
if (pointInRange(tree.value, min, max)) points.push(tree.value) | |
query(tree.low, depth + 1) | |
query(tree.high, depth + 1) | |
} | |
} | |
query(tree, 0) | |
return points | |
} |
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