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Uint16Array : Uint32Array;\n\n const arrayTypeIndex = ARRAY_TYPES.indexOf(this.ArrayType);\n const coordsByteSize = numItems * 2 * this.ArrayType.BYTES_PER_ELEMENT;\n const idsByteSize = numItems * this.IndexArrayType.BYTES_PER_ELEMENT;\n const padCoords = (8 - idsByteSize % 8) % 8;\n\n if (arrayTypeIndex < 0) {\n throw new Error(`Unexpected typed array class: ${ArrayType}.`);\n }\n\n if (data && (data instanceof ArrayBuffer)) { // reconstruct an index from a buffer\n this.data = data;\n this.ids = new this.IndexArrayType(this.data, HEADER_SIZE, numItems);\n this.coords = new this.ArrayType(this.data, HEADER_SIZE + idsByteSize + padCoords, numItems * 2);\n this._pos = numItems * 2;\n this._finished = true;\n } else { // initialize a new index\n this.data = new ArrayBuffer(HEADER_SIZE + coordsByteSize + idsByteSize + padCoords);\n this.ids = new this.IndexArrayType(this.data, HEADER_SIZE, numItems);\n this.coords = new this.ArrayType(this.data, HEADER_SIZE + idsByteSize + padCoords, numItems * 2);\n this._pos = 0;\n this._finished = false;\n\n // set header\n new Uint8Array(this.data, 0, 2).set([0xdb, (VERSION << 4) + arrayTypeIndex]);\n new Uint16Array(this.data, 2, 1)[0] = nodeSize;\n new Uint32Array(this.data, 4, 1)[0] = numItems;\n }\n }\n\n /**\n * Add a point to the index.\n * @param {number} x\n * @param {number} y\n * @returns {number} An incremental index associated with the added item (starting from `0`).\n */\n add(x, y) {\n const index = this._pos >> 1;\n this.ids[index] = index;\n this.coords[this._pos++] = x;\n this.coords[this._pos++] = y;\n return index;\n }\n\n /**\n * Perform indexing of the added points.\n */\n finish() {\n const numAdded = this._pos >> 1;\n if (numAdded !== this.numItems) {\n throw new Error(`Added ${numAdded} items when expected ${this.numItems}.`);\n }\n // kd-sort both arrays for efficient search\n sort(this.ids, this.coords, this.nodeSize, 0, this.numItems - 1, 0);\n\n this._finished = true;\n return this;\n }\n\n /**\n * Search the index for items within a given bounding box.\n * @param {number} minX\n * @param {number} minY\n * @param {number} maxX\n * @param {number} maxY\n * @returns {number[]} An array of indices correponding to the found items.\n */\n range(minX, minY, maxX, maxY) {\n if (!this._finished) throw new Error('Data not yet indexed - call index.finish().');\n\n const {ids, coords, nodeSize} = this;\n const stack = [0, ids.length - 1, 0];\n const result = [];\n\n // recursively search for items in range in the kd-sorted arrays\n while (stack.length) {\n const axis = stack.pop() || 0;\n const right = stack.pop() || 0;\n const left = stack.pop() || 0;\n\n // if we reached \"tree node\", search linearly\n if (right - left <= nodeSize) {\n for (let i = left; i <= right; i++) {\n const x = coords[2 * i];\n const y = coords[2 * i + 1];\n if (x >= minX && x <= maxX && y >= minY && y <= maxY) result.push(ids[i]);\n }\n continue;\n }\n\n // otherwise find the middle index\n const m = (left + right) >> 1;\n\n // include the middle item if it's in range\n const x = coords[2 * m];\n const y = coords[2 * m + 1];\n if (x >= minX && x <= maxX && y >= minY && y <= maxY) result.push(ids[m]);\n\n // queue search in halves that intersect the query\n if (axis === 0 ? minX <= x : minY <= y) {\n stack.push(left);\n stack.push(m - 1);\n stack.push(1 - axis);\n }\n if (axis === 0 ? maxX >= x : maxY >= y) {\n stack.push(m + 1);\n stack.push(right);\n stack.push(1 - axis);\n }\n }\n\n return result;\n }\n\n /**\n * Search the index for items within a given radius.\n * @param {number} qx\n * @param {number} qy\n * @param {number} r Query radius.\n * @returns {number[]} An array of indices correponding to the found items.\n */\n within(qx, qy, r) {\n if (!this._finished) throw new Error('Data not yet indexed - call index.finish().');\n\n const {ids, coords, nodeSize} = this;\n const stack = [0, ids.length - 1, 0];\n const result = [];\n const r2 = r * r;\n\n // recursively search for items within radius in the kd-sorted arrays\n while (stack.length) {\n const axis = stack.pop() || 0;\n const right = stack.pop() || 0;\n const left = stack.pop() || 0;\n\n // if we reached \"tree node\", search linearly\n if (right - left <= nodeSize) {\n for (let i = left; i <= right; i++) {\n if (sqDist(coords[2 * i], coords[2 * i + 1], qx, qy) <= r2) result.push(ids[i]);\n }\n continue;\n }\n\n // otherwise find the middle index\n const m = (left + right) >> 1;\n\n // include the middle item if it's in range\n const x = coords[2 * m];\n const y = coords[2 * m + 1];\n if (sqDist(x, y, qx, qy) <= r2) result.push(ids[m]);\n\n // queue search in halves that intersect the query\n if (axis === 0 ? qx - r <= x : qy - r <= y) {\n stack.push(left);\n stack.push(m - 1);\n stack.push(1 - axis);\n }\n if (axis === 0 ? qx + r >= x : qy + r >= y) {\n stack.push(m + 1);\n stack.push(right);\n stack.push(1 - axis);\n }\n }\n\n return result;\n }\n}\n\n/**\n * @param {Uint16Array | Uint32Array} ids\n * @param {InstanceType} coords\n * @param {number} nodeSize\n * @param {number} left\n * @param {number} right\n * @param {number} axis\n */\nfunction sort(ids, coords, nodeSize, left, right, axis) {\n if (right - left <= nodeSize) return;\n\n const m = (left + right) >> 1; // middle index\n\n // sort ids and coords around the middle index so that the halves lie\n // either left/right or top/bottom correspondingly (taking turns)\n select(ids, coords, m, left, right, axis);\n\n // recursively kd-sort first half and second half on the opposite axis\n sort(ids, coords, nodeSize, left, m - 1, 1 - axis);\n sort(ids, coords, nodeSize, m + 1, right, 1 - axis);\n}\n\n/**\n * Custom Floyd-Rivest selection algorithm: sort ids and coords so that\n * [left..k-1] items are smaller than k-th item (on either x or y axis)\n * @param {Uint16Array | Uint32Array} ids\n * @param {InstanceType} coords\n * @param {number} k\n * @param {number} left\n * @param {number} right\n * @param {number} axis\n */\nfunction select(ids, coords, k, left, right, axis) {\n\n while (right > left) {\n if (right - left > 600) {\n const n = right - left + 1;\n const m = k - left + 1;\n const z = Math.log(n);\n const s = 0.5 * Math.exp(2 * z / 3);\n const sd = 0.5 * Math.sqrt(z * s * (n - s) / n) * (m - n / 2 < 0 ? -1 : 1);\n const newLeft = Math.max(left, Math.floor(k - m * s / n + sd));\n const newRight = Math.min(right, Math.floor(k + (n - m) * s / n + sd));\n select(ids, coords, k, newLeft, newRight, axis);\n }\n\n const t = coords[2 * k + axis];\n let i = left;\n let j = right;\n\n swapItem(ids, coords, left, k);\n if (coords[2 * right + axis] > t) swapItem(ids, coords, left, right);\n\n while (i < j) {\n swapItem(ids, coords, i, j);\n i++;\n j--;\n while (coords[2 * i + axis] < t) i++;\n while (coords[2 * j + axis] > t) j--;\n }\n\n if (coords[2 * left + axis] === t) swapItem(ids, coords, left, j);\n else {\n j++;\n swapItem(ids, coords, j, right);\n }\n\n if (j <= k) left = j + 1;\n if (k <= j) right = j - 1;\n }\n}\n\n/**\n * @param {Uint16Array | Uint32Array} ids\n * @param {InstanceType} coords\n * @param {number} i\n * @param {number} j\n */\nfunction swapItem(ids, coords, i, j) {\n swap(ids, i, j);\n swap(coords, 2 * i, 2 * j);\n swap(coords, 2 * i + 1, 2 * j + 1);\n}\n\n/**\n * @param {InstanceType} arr\n * @param {number} i\n * @param {number} j\n */\nfunction swap(arr, i, j) {\n const tmp = arr[i];\n arr[i] = arr[j];\n arr[j] = tmp;\n}\n\n/**\n * @param {number} ax\n * @param {number} ay\n * @param {number} bx\n * @param {number} by\n */\nfunction sqDist(ax, ay, bx, by) {\n const dx = ax - bx;\n const dy = ay - by;\n return dx * dx + dy * dy;\n}\n"],"names":[],"sourceRoot":""}