(function (global, factory) { typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() : typeof define === 'function' && define.amd ? define(factory) : (global = typeof globalThis !== 'undefined' ? globalThis : global || self, global.KDBush = factory()); })(this, (function () { 'use strict'; const ARRAY_TYPES = [ Int8Array, Uint8Array, Uint8ClampedArray, Int16Array, Uint16Array, Int32Array, Uint32Array, Float32Array, Float64Array ]; /** @typedef {Int8ArrayConstructor | Uint8ArrayConstructor | Uint8ClampedArrayConstructor | Int16ArrayConstructor | Uint16ArrayConstructor | Int32ArrayConstructor | Uint32ArrayConstructor | Float32ArrayConstructor | Float64ArrayConstructor} TypedArrayConstructor */ const VERSION = 1; // serialized format version const HEADER_SIZE = 8; class KDBush { /** * Creates an index from raw `ArrayBuffer` data. * @param {ArrayBuffer} data */ static from(data) { if (!(data instanceof ArrayBuffer)) { throw new Error('Data must be an instance of ArrayBuffer.'); } const [magic, versionAndType] = new Uint8Array(data, 0, 2); if (magic !== 0xdb) { throw new Error('Data does not appear to be in a KDBush format.'); } const version = versionAndType >> 4; if (version !== VERSION) { throw new Error(`Got v${version} data when expected v${VERSION}.`); } const ArrayType = ARRAY_TYPES[versionAndType & 0x0f]; if (!ArrayType) { throw new Error('Unrecognized array type.'); } const [nodeSize] = new Uint16Array(data, 2, 1); const [numItems] = new Uint32Array(data, 4, 1); return new KDBush(numItems, nodeSize, ArrayType, data); } /** * Creates an index that will hold a given number of items. * @param {number} numItems * @param {number} [nodeSize=64] Size of the KD-tree node (64 by default). * @param {TypedArrayConstructor} [ArrayType=Float64Array] The array type used for coordinates storage (`Float64Array` by default). * @param {ArrayBuffer} [data] (For internal use only) */ constructor(numItems, nodeSize = 64, ArrayType = Float64Array, data) { if (isNaN(numItems) || numItems < 0) throw new Error(`Unpexpected numItems value: ${numItems}.`); this.numItems = +numItems; this.nodeSize = Math.min(Math.max(+nodeSize, 2), 65535); this.ArrayType = ArrayType; this.IndexArrayType = numItems < 65536 ? Uint16Array : Uint32Array; const arrayTypeIndex = ARRAY_TYPES.indexOf(this.ArrayType); const coordsByteSize = numItems * 2 * this.ArrayType.BYTES_PER_ELEMENT; const idsByteSize = numItems * this.IndexArrayType.BYTES_PER_ELEMENT; const padCoords = (8 - idsByteSize % 8) % 8; if (arrayTypeIndex < 0) { throw new Error(`Unexpected typed array class: ${ArrayType}.`); } if (data && (data instanceof ArrayBuffer)) { // reconstruct an index from a buffer this.data = data; this.ids = new this.IndexArrayType(this.data, HEADER_SIZE, numItems); this.coords = new this.ArrayType(this.data, HEADER_SIZE + idsByteSize + padCoords, numItems * 2); this._pos = numItems * 2; this._finished = true; } else { // initialize a new index this.data = new ArrayBuffer(HEADER_SIZE + coordsByteSize + idsByteSize + padCoords); this.ids = new this.IndexArrayType(this.data, HEADER_SIZE, numItems); this.coords = new this.ArrayType(this.data, HEADER_SIZE + idsByteSize + padCoords, numItems * 2); this._pos = 0; this._finished = false; // set header new Uint8Array(this.data, 0, 2).set([0xdb, (VERSION << 4) + arrayTypeIndex]); new Uint16Array(this.data, 2, 1)[0] = nodeSize; new Uint32Array(this.data, 4, 1)[0] = numItems; } } /** * Add a point to the index. * @param {number} x * @param {number} y * @returns {number} An incremental index associated with the added item (starting from `0`). */ add(x, y) { const index = this._pos >> 1; this.ids[index] = index; this.coords[this._pos++] = x; this.coords[this._pos++] = y; return index; } /** * Perform indexing of the added points. */ finish() { const numAdded = this._pos >> 1; if (numAdded !== this.numItems) { throw new Error(`Added ${numAdded} items when expected ${this.numItems}.`); } // kd-sort both arrays for efficient search sort(this.ids, this.coords, this.nodeSize, 0, this.numItems - 1, 0); this._finished = true; return this; } /** * Search the index for items within a given bounding box. * @param {number} minX * @param {number} minY * @param {number} maxX * @param {number} maxY * @returns {number[]} An array of indices correponding to the found items. */ range(minX, minY, maxX, maxY) { if (!this._finished) throw new Error('Data not yet indexed - call index.finish().'); const {ids, coords, nodeSize} = this; const stack = [0, ids.length - 1, 0]; const result = []; // recursively search for items in range in the kd-sorted arrays while (stack.length) { const axis = stack.pop() || 0; const right = stack.pop() || 0; const left = stack.pop() || 0; // if we reached "tree node", search linearly if (right - left <= nodeSize) { for (let i = left; i <= right; i++) { const x = coords[2 * i]; const y = coords[2 * i + 1]; if (x >= minX && x <= maxX && y >= minY && y <= maxY) result.push(ids[i]); } continue; } // otherwise find the middle index const m = (left + right) >> 1; // include the middle item if it's in range const x = coords[2 * m]; const y = coords[2 * m + 1]; if (x >= minX && x <= maxX && y >= minY && y <= maxY) result.push(ids[m]); // queue search in halves that intersect the query if (axis === 0 ? minX <= x : minY <= y) { stack.push(left); stack.push(m - 1); stack.push(1 - axis); } if (axis === 0 ? maxX >= x : maxY >= y) { stack.push(m + 1); stack.push(right); stack.push(1 - axis); } } return result; } /** * Search the index for items within a given radius. * @param {number} qx * @param {number} qy * @param {number} r Query radius. * @returns {number[]} An array of indices correponding to the found items. */ within(qx, qy, r) { if (!this._finished) throw new Error('Data not yet indexed - call index.finish().'); const {ids, coords, nodeSize} = this; const stack = [0, ids.length - 1, 0]; const result = []; const r2 = r * r; // recursively search for items within radius in the kd-sorted arrays while (stack.length) { const axis = stack.pop() || 0; const right = stack.pop() || 0; const left = stack.pop() || 0; // if we reached "tree node", search linearly if (right - left <= nodeSize) { for (let i = left; i <= right; i++) { if (sqDist(coords[2 * i], coords[2 * i + 1], qx, qy) <= r2) result.push(ids[i]); } continue; } // otherwise find the middle index const m = (left + right) >> 1; // include the middle item if it's in range const x = coords[2 * m]; const y = coords[2 * m + 1]; if (sqDist(x, y, qx, qy) <= r2) result.push(ids[m]); // queue search in halves that intersect the query if (axis === 0 ? qx - r <= x : qy - r <= y) { stack.push(left); stack.push(m - 1); stack.push(1 - axis); } if (axis === 0 ? qx + r >= x : qy + r >= y) { stack.push(m + 1); stack.push(right); stack.push(1 - axis); } } return result; } } /** * @param {Uint16Array | Uint32Array} ids * @param {InstanceType} coords * @param {number} nodeSize * @param {number} left * @param {number} right * @param {number} axis */ function sort(ids, coords, nodeSize, left, right, axis) { if (right - left <= nodeSize) return; const m = (left + right) >> 1; // middle index // sort ids and coords around the middle index so that the halves lie // either left/right or top/bottom correspondingly (taking turns) select(ids, coords, m, left, right, axis); // recursively kd-sort first half and second half on the opposite axis sort(ids, coords, nodeSize, left, m - 1, 1 - axis); sort(ids, coords, nodeSize, m + 1, right, 1 - axis); } /** * Custom Floyd-Rivest selection algorithm: sort ids and coords so that * [left..k-1] items are smaller than k-th item (on either x or y axis) * @param {Uint16Array | Uint32Array} ids * @param {InstanceType} coords * @param {number} k * @param {number} left * @param {number} right * @param {number} axis */ function select(ids, coords, k, left, right, axis) { while (right > left) { if (right - left > 600) { const n = right - left + 1; const m = k - left + 1; const z = Math.log(n); const s = 0.5 * Math.exp(2 * z / 3); const sd = 0.5 * Math.sqrt(z * s * (n - s) / n) * (m - n / 2 < 0 ? -1 : 1); const newLeft = Math.max(left, Math.floor(k - m * s / n + sd)); const newRight = Math.min(right, Math.floor(k + (n - m) * s / n + sd)); select(ids, coords, k, newLeft, newRight, axis); } const t = coords[2 * k + axis]; let i = left; let j = right; swapItem(ids, coords, left, k); if (coords[2 * right + axis] > t) swapItem(ids, coords, left, right); while (i < j) { swapItem(ids, coords, i, j); i++; j--; while (coords[2 * i + axis] < t) i++; while (coords[2 * j + axis] > t) j--; } if (coords[2 * left + axis] === t) swapItem(ids, coords, left, j); else { j++; swapItem(ids, coords, j, right); } if (j <= k) left = j + 1; if (k <= j) right = j - 1; } } /** * @param {Uint16Array | Uint32Array} ids * @param {InstanceType} coords * @param {number} i * @param {number} j */ function swapItem(ids, coords, i, j) { swap(ids, i, j); swap(coords, 2 * i, 2 * j); swap(coords, 2 * i + 1, 2 * j + 1); } /** * @param {InstanceType} arr * @param {number} i * @param {number} j */ function swap(arr, i, j) { const tmp = arr[i]; arr[i] = arr[j]; arr[j] = tmp; } /** * @param {number} ax * @param {number} ay * @param {number} bx * @param {number} by */ function sqDist(ax, ay, bx, by) { const dx = ax - bx; const dy = ay - by; return dx * dx + dy * dy; } return KDBush; }));