StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics
https://doi.org/10.1109/TVCG.2020.3030352
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
571 lines
17 KiB
571 lines
17 KiB
4 years ago
|
(function (global, factory) {
|
||
|
typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
|
||
|
typeof define === 'function' && define.amd ? define(factory) :
|
||
|
(global = global || self, global.Supercluster = factory());
|
||
|
}(this, function () { 'use strict';
|
||
|
|
||
|
function sortKD(ids, coords, nodeSize, left, right, depth) {
|
||
|
if (right - left <= nodeSize) { return; }
|
||
|
|
||
|
var m = (left + right) >> 1;
|
||
|
|
||
|
select(ids, coords, m, left, right, depth % 2);
|
||
|
|
||
|
sortKD(ids, coords, nodeSize, left, m - 1, depth + 1);
|
||
|
sortKD(ids, coords, nodeSize, m + 1, right, depth + 1);
|
||
|
}
|
||
|
|
||
|
function select(ids, coords, k, left, right, inc) {
|
||
|
|
||
|
while (right > left) {
|
||
|
if (right - left > 600) {
|
||
|
var n = right - left + 1;
|
||
|
var m = k - left + 1;
|
||
|
var z = Math.log(n);
|
||
|
var s = 0.5 * Math.exp(2 * z / 3);
|
||
|
var sd = 0.5 * Math.sqrt(z * s * (n - s) / n) * (m - n / 2 < 0 ? -1 : 1);
|
||
|
var newLeft = Math.max(left, Math.floor(k - m * s / n + sd));
|
||
|
var newRight = Math.min(right, Math.floor(k + (n - m) * s / n + sd));
|
||
|
select(ids, coords, k, newLeft, newRight, inc);
|
||
|
}
|
||
|
|
||
|
var t = coords[2 * k + inc];
|
||
|
var i = left;
|
||
|
var j = right;
|
||
|
|
||
|
swapItem(ids, coords, left, k);
|
||
|
if (coords[2 * right + inc] > t) { swapItem(ids, coords, left, right); }
|
||
|
|
||
|
while (i < j) {
|
||
|
swapItem(ids, coords, i, j);
|
||
|
i++;
|
||
|
j--;
|
||
|
while (coords[2 * i + inc] < t) { i++; }
|
||
|
while (coords[2 * j + inc] > t) { j--; }
|
||
|
}
|
||
|
|
||
|
if (coords[2 * left + inc] === 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; }
|
||
|
}
|
||
|
}
|
||
|
|
||
|
function swapItem(ids, coords, i, j) {
|
||
|
swap(ids, i, j);
|
||
|
swap(coords, 2 * i, 2 * j);
|
||
|
swap(coords, 2 * i + 1, 2 * j + 1);
|
||
|
}
|
||
|
|
||
|
function swap(arr, i, j) {
|
||
|
var tmp = arr[i];
|
||
|
arr[i] = arr[j];
|
||
|
arr[j] = tmp;
|
||
|
}
|
||
|
|
||
|
function range(ids, coords, minX, minY, maxX, maxY, nodeSize) {
|
||
|
var stack = [0, ids.length - 1, 0];
|
||
|
var result = [];
|
||
|
var x, y;
|
||
|
|
||
|
while (stack.length) {
|
||
|
var axis = stack.pop();
|
||
|
var right = stack.pop();
|
||
|
var left = stack.pop();
|
||
|
|
||
|
if (right - left <= nodeSize) {
|
||
|
for (var i = left; i <= right; i++) {
|
||
|
x = coords[2 * i];
|
||
|
y = coords[2 * i + 1];
|
||
|
if (x >= minX && x <= maxX && y >= minY && y <= maxY) { result.push(ids[i]); }
|
||
|
}
|
||
|
continue;
|
||
|
}
|
||
|
|
||
|
var m = Math.floor((left + right) / 2);
|
||
|
|
||
|
x = coords[2 * m];
|
||
|
y = coords[2 * m + 1];
|
||
|
|
||
|
if (x >= minX && x <= maxX && y >= minY && y <= maxY) { result.push(ids[m]); }
|
||
|
|
||
|
var nextAxis = (axis + 1) % 2;
|
||
|
|
||
|
if (axis === 0 ? minX <= x : minY <= y) {
|
||
|
stack.push(left);
|
||
|
stack.push(m - 1);
|
||
|
stack.push(nextAxis);
|
||
|
}
|
||
|
if (axis === 0 ? maxX >= x : maxY >= y) {
|
||
|
stack.push(m + 1);
|
||
|
stack.push(right);
|
||
|
stack.push(nextAxis);
|
||
|
}
|
||
|
}
|
||
|
|
||
|
return result;
|
||
|
}
|
||
|
|
||
|
function within(ids, coords, qx, qy, r, nodeSize) {
|
||
|
var stack = [0, ids.length - 1, 0];
|
||
|
var result = [];
|
||
|
var r2 = r * r;
|
||
|
|
||
|
while (stack.length) {
|
||
|
var axis = stack.pop();
|
||
|
var right = stack.pop();
|
||
|
var left = stack.pop();
|
||
|
|
||
|
if (right - left <= nodeSize) {
|
||
|
for (var i = left; i <= right; i++) {
|
||
|
if (sqDist(coords[2 * i], coords[2 * i + 1], qx, qy) <= r2) { result.push(ids[i]); }
|
||
|
}
|
||
|
continue;
|
||
|
}
|
||
|
|
||
|
var m = Math.floor((left + right) / 2);
|
||
|
|
||
|
var x = coords[2 * m];
|
||
|
var y = coords[2 * m + 1];
|
||
|
|
||
|
if (sqDist(x, y, qx, qy) <= r2) { result.push(ids[m]); }
|
||
|
|
||
|
var nextAxis = (axis + 1) % 2;
|
||
|
|
||
|
if (axis === 0 ? qx - r <= x : qy - r <= y) {
|
||
|
stack.push(left);
|
||
|
stack.push(m - 1);
|
||
|
stack.push(nextAxis);
|
||
|
}
|
||
|
if (axis === 0 ? qx + r >= x : qy + r >= y) {
|
||
|
stack.push(m + 1);
|
||
|
stack.push(right);
|
||
|
stack.push(nextAxis);
|
||
|
}
|
||
|
}
|
||
|
|
||
|
return result;
|
||
|
}
|
||
|
|
||
|
function sqDist(ax, ay, bx, by) {
|
||
|
var dx = ax - bx;
|
||
|
var dy = ay - by;
|
||
|
return dx * dx + dy * dy;
|
||
|
}
|
||
|
|
||
|
var defaultGetX = function (p) { return p[0]; };
|
||
|
var defaultGetY = function (p) { return p[1]; };
|
||
|
|
||
|
var KDBush = function KDBush(points, getX, getY, nodeSize, ArrayType) {
|
||
|
if ( getX === void 0 ) getX = defaultGetX;
|
||
|
if ( getY === void 0 ) getY = defaultGetY;
|
||
|
if ( nodeSize === void 0 ) nodeSize = 64;
|
||
|
if ( ArrayType === void 0 ) ArrayType = Float64Array;
|
||
|
|
||
|
this.nodeSize = nodeSize;
|
||
|
this.points = points;
|
||
|
|
||
|
var IndexArrayType = points.length < 65536 ? Uint16Array : Uint32Array;
|
||
|
|
||
|
var ids = this.ids = new IndexArrayType(points.length);
|
||
|
var coords = this.coords = new ArrayType(points.length * 2);
|
||
|
|
||
|
for (var i = 0; i < points.length; i++) {
|
||
|
ids[i] = i;
|
||
|
coords[2 * i] = getX(points[i]);
|
||
|
coords[2 * i + 1] = getY(points[i]);
|
||
|
}
|
||
|
|
||
|
sortKD(ids, coords, nodeSize, 0, ids.length - 1, 0);
|
||
|
};
|
||
|
|
||
|
KDBush.prototype.range = function range$1 (minX, minY, maxX, maxY) {
|
||
|
return range(this.ids, this.coords, minX, minY, maxX, maxY, this.nodeSize);
|
||
|
};
|
||
|
|
||
|
KDBush.prototype.within = function within$1 (x, y, r) {
|
||
|
return within(this.ids, this.coords, x, y, r, this.nodeSize);
|
||
|
};
|
||
|
|
||
|
var defaultOptions = {
|
||
|
minZoom: 0, // min zoom to generate clusters on
|
||
|
maxZoom: 16, // max zoom level to cluster the points on
|
||
|
radius: 40, // cluster radius in pixels
|
||
|
extent: 512, // tile extent (radius is calculated relative to it)
|
||
|
nodeSize: 64, // size of the KD-tree leaf node, affects performance
|
||
|
log: false, // whether to log timing info
|
||
|
|
||
|
// a reduce function for calculating custom cluster properties
|
||
|
reduce: null, // (accumulated, props) => { accumulated.sum += props.sum; }
|
||
|
|
||
|
// properties to use for individual points when running the reducer
|
||
|
map: function (props) { return props; } // props => ({sum: props.my_value})
|
||
|
};
|
||
|
|
||
|
var Supercluster = function Supercluster(options) {
|
||
|
this.options = extend(Object.create(defaultOptions), options);
|
||
|
this.trees = new Array(this.options.maxZoom + 1);
|
||
|
};
|
||
|
|
||
|
Supercluster.prototype.load = function load (points) {
|
||
|
var ref = this.options;
|
||
|
var log = ref.log;
|
||
|
var minZoom = ref.minZoom;
|
||
|
var maxZoom = ref.maxZoom;
|
||
|
var nodeSize = ref.nodeSize;
|
||
|
|
||
|
if (log) { console.time('total time'); }
|
||
|
|
||
|
var timerId = "prepare " + (points.length) + " points";
|
||
|
if (log) { console.time(timerId); }
|
||
|
|
||
|
this.points = points;
|
||
|
|
||
|
// generate a cluster object for each point and index input points into a KD-tree
|
||
|
var clusters = [];
|
||
|
for (var i = 0; i < points.length; i++) {
|
||
|
if (!points[i].geometry) { continue; }
|
||
|
clusters.push(createPointCluster(points[i], i));
|
||
|
}
|
||
|
this.trees[maxZoom + 1] = new KDBush(clusters, getX, getY, nodeSize, Float32Array);
|
||
|
|
||
|
if (log) { console.timeEnd(timerId); }
|
||
|
|
||
|
// cluster points on max zoom, then cluster the results on previous zoom, etc.;
|
||
|
// results in a cluster hierarchy across zoom levels
|
||
|
for (var z = maxZoom; z >= minZoom; z--) {
|
||
|
var now = +Date.now();
|
||
|
|
||
|
// create a new set of clusters for the zoom and index them with a KD-tree
|
||
|
clusters = this._cluster(clusters, z);
|
||
|
this.trees[z] = new KDBush(clusters, getX, getY, nodeSize, Float32Array);
|
||
|
|
||
|
if (log) { console.log('z%d: %d clusters in %dms', z, clusters.length, +Date.now() - now); }
|
||
|
}
|
||
|
|
||
|
if (log) { console.timeEnd('total time'); }
|
||
|
|
||
|
return this;
|
||
|
};
|
||
|
|
||
|
Supercluster.prototype.getClusters = function getClusters (bbox, zoom) {
|
||
|
var minLng = ((bbox[0] + 180) % 360 + 360) % 360 - 180;
|
||
|
var minLat = Math.max(-90, Math.min(90, bbox[1]));
|
||
|
var maxLng = bbox[2] === 180 ? 180 : ((bbox[2] + 180) % 360 + 360) % 360 - 180;
|
||
|
var maxLat = Math.max(-90, Math.min(90, bbox[3]));
|
||
|
|
||
|
if (bbox[2] - bbox[0] >= 360) {
|
||
|
minLng = -180;
|
||
|
maxLng = 180;
|
||
|
} else if (minLng > maxLng) {
|
||
|
var easternHem = this.getClusters([minLng, minLat, 180, maxLat], zoom);
|
||
|
var westernHem = this.getClusters([-180, minLat, maxLng, maxLat], zoom);
|
||
|
return easternHem.concat(westernHem);
|
||
|
}
|
||
|
|
||
|
var tree = this.trees[this._limitZoom(zoom)];
|
||
|
var ids = tree.range(lngX(minLng), latY(maxLat), lngX(maxLng), latY(minLat));
|
||
|
var clusters = [];
|
||
|
for (var i = 0, list = ids; i < list.length; i += 1) {
|
||
|
var id = list[i];
|
||
|
|
||
|
var c = tree.points[id];
|
||
|
clusters.push(c.numPoints ? getClusterJSON(c) : this.points[c.index]);
|
||
|
}
|
||
|
return clusters;
|
||
|
};
|
||
|
|
||
|
Supercluster.prototype.getChildren = function getChildren (clusterId) {
|
||
|
var originId = clusterId >> 5;
|
||
|
var originZoom = clusterId % 32;
|
||
|
var errorMsg = 'No cluster with the specified id.';
|
||
|
|
||
|
var index = this.trees[originZoom];
|
||
|
if (!index) { throw new Error(errorMsg); }
|
||
|
|
||
|
var origin = index.points[originId];
|
||
|
if (!origin) { throw new Error(errorMsg); }
|
||
|
|
||
|
var r = this.options.radius / (this.options.extent * Math.pow(2, originZoom - 1));
|
||
|
var ids = index.within(origin.x, origin.y, r);
|
||
|
var children = [];
|
||
|
for (var i = 0, list = ids; i < list.length; i += 1) {
|
||
|
var id = list[i];
|
||
|
|
||
|
var c = index.points[id];
|
||
|
if (c.parentId === clusterId) {
|
||
|
children.push(c.numPoints ? getClusterJSON(c) : this.points[c.index]);
|
||
|
}
|
||
|
}
|
||
|
|
||
|
if (children.length === 0) { throw new Error(errorMsg); }
|
||
|
|
||
|
return children;
|
||
|
};
|
||
|
|
||
|
Supercluster.prototype.getLeaves = function getLeaves (clusterId, limit, offset) {
|
||
|
limit = limit || 10;
|
||
|
offset = offset || 0;
|
||
|
|
||
|
var leaves = [];
|
||
|
this._appendLeaves(leaves, clusterId, limit, offset, 0);
|
||
|
|
||
|
return leaves;
|
||
|
};
|
||
|
|
||
|
Supercluster.prototype.getTile = function getTile (z, x, y) {
|
||
|
var tree = this.trees[this._limitZoom(z)];
|
||
|
var z2 = Math.pow(2, z);
|
||
|
var ref = this.options;
|
||
|
var extent = ref.extent;
|
||
|
var radius = ref.radius;
|
||
|
var p = radius / extent;
|
||
|
var top = (y - p) / z2;
|
||
|
var bottom = (y + 1 + p) / z2;
|
||
|
|
||
|
var tile = {
|
||
|
features: []
|
||
|
};
|
||
|
|
||
|
this._addTileFeatures(
|
||
|
tree.range((x - p) / z2, top, (x + 1 + p) / z2, bottom),
|
||
|
tree.points, x, y, z2, tile);
|
||
|
|
||
|
if (x === 0) {
|
||
|
this._addTileFeatures(
|
||
|
tree.range(1 - p / z2, top, 1, bottom),
|
||
|
tree.points, z2, y, z2, tile);
|
||
|
}
|
||
|
if (x === z2 - 1) {
|
||
|
this._addTileFeatures(
|
||
|
tree.range(0, top, p / z2, bottom),
|
||
|
tree.points, -1, y, z2, tile);
|
||
|
}
|
||
|
|
||
|
return tile.features.length ? tile : null;
|
||
|
};
|
||
|
|
||
|
Supercluster.prototype.getClusterExpansionZoom = function getClusterExpansionZoom (clusterId) {
|
||
|
var clusterZoom = (clusterId % 32) - 1;
|
||
|
while (clusterZoom <= this.options.maxZoom) {
|
||
|
var children = this.getChildren(clusterId);
|
||
|
clusterZoom++;
|
||
|
if (children.length !== 1) { break; }
|
||
|
clusterId = children[0].properties.cluster_id;
|
||
|
}
|
||
|
return clusterZoom;
|
||
|
};
|
||
|
|
||
|
Supercluster.prototype._appendLeaves = function _appendLeaves (result, clusterId, limit, offset, skipped) {
|
||
|
var children = this.getChildren(clusterId);
|
||
|
|
||
|
for (var i = 0, list = children; i < list.length; i += 1) {
|
||
|
var child = list[i];
|
||
|
|
||
|
var props = child.properties;
|
||
|
|
||
|
if (props && props.cluster) {
|
||
|
if (skipped + props.point_count <= offset) {
|
||
|
// skip the whole cluster
|
||
|
skipped += props.point_count;
|
||
|
} else {
|
||
|
// enter the cluster
|
||
|
skipped = this._appendLeaves(result, props.cluster_id, limit, offset, skipped);
|
||
|
// exit the cluster
|
||
|
}
|
||
|
} else if (skipped < offset) {
|
||
|
// skip a single point
|
||
|
skipped++;
|
||
|
} else {
|
||
|
// add a single point
|
||
|
result.push(child);
|
||
|
}
|
||
|
if (result.length === limit) { break; }
|
||
|
}
|
||
|
|
||
|
return skipped;
|
||
|
};
|
||
|
|
||
|
Supercluster.prototype._addTileFeatures = function _addTileFeatures (ids, points, x, y, z2, tile) {
|
||
|
for (var i$1 = 0, list = ids; i$1 < list.length; i$1 += 1) {
|
||
|
var i = list[i$1];
|
||
|
|
||
|
var c = points[i];
|
||
|
var f = {
|
||
|
type: 1,
|
||
|
geometry: [[
|
||
|
Math.round(this.options.extent * (c.x * z2 - x)),
|
||
|
Math.round(this.options.extent * (c.y * z2 - y))
|
||
|
]],
|
||
|
tags: c.numPoints ? getClusterProperties(c) : this.points[c.index].properties
|
||
|
};
|
||
|
var id = c.numPoints ? c.id : this.points[c.index].id;
|
||
|
if (id !== undefined) {
|
||
|
f.id = id;
|
||
|
}
|
||
|
tile.features.push(f);
|
||
|
}
|
||
|
};
|
||
|
|
||
|
Supercluster.prototype._limitZoom = function _limitZoom (z) {
|
||
|
return Math.max(this.options.minZoom, Math.min(z, this.options.maxZoom + 1));
|
||
|
};
|
||
|
|
||
|
Supercluster.prototype._cluster = function _cluster (points, zoom) {
|
||
|
var clusters = [];
|
||
|
var ref = this.options;
|
||
|
var radius = ref.radius;
|
||
|
var extent = ref.extent;
|
||
|
var reduce = ref.reduce;
|
||
|
var r = radius / (extent * Math.pow(2, zoom));
|
||
|
|
||
|
// loop through each point
|
||
|
for (var i = 0; i < points.length; i++) {
|
||
|
var p = points[i];
|
||
|
// if we've already visited the point at this zoom level, skip it
|
||
|
if (p.zoom <= zoom) { continue; }
|
||
|
p.zoom = zoom;
|
||
|
|
||
|
// find all nearby points
|
||
|
var tree = this.trees[zoom + 1];
|
||
|
var neighborIds = tree.within(p.x, p.y, r);
|
||
|
|
||
|
var numPoints = p.numPoints || 1;
|
||
|
var wx = p.x * numPoints;
|
||
|
var wy = p.y * numPoints;
|
||
|
|
||
|
var clusterProperties = reduce && numPoints > 1 ? this._map(p, true) : null;
|
||
|
|
||
|
// encode both zoom and point index on which the cluster originated
|
||
|
var id = (i << 5) + (zoom + 1);
|
||
|
|
||
|
for (var i$1 = 0, list = neighborIds; i$1 < list.length; i$1 += 1) {
|
||
|
var neighborId = list[i$1];
|
||
|
|
||
|
var b = tree.points[neighborId];
|
||
|
// filter out neighbors that are already processed
|
||
|
if (b.zoom <= zoom) { continue; }
|
||
|
b.zoom = zoom; // save the zoom (so it doesn't get processed twice)
|
||
|
|
||
|
var numPoints2 = b.numPoints || 1;
|
||
|
wx += b.x * numPoints2; // accumulate coordinates for calculating weighted center
|
||
|
wy += b.y * numPoints2;
|
||
|
|
||
|
numPoints += numPoints2;
|
||
|
b.parentId = id;
|
||
|
|
||
|
if (reduce) {
|
||
|
if (!clusterProperties) { clusterProperties = this._map(p, true); }
|
||
|
reduce(clusterProperties, this._map(b));
|
||
|
}
|
||
|
}
|
||
|
|
||
|
if (numPoints === 1) {
|
||
|
clusters.push(p);
|
||
|
} else {
|
||
|
p.parentId = id;
|
||
|
clusters.push(createCluster(wx / numPoints, wy / numPoints, id, numPoints, clusterProperties));
|
||
|
}
|
||
|
}
|
||
|
|
||
|
return clusters;
|
||
|
};
|
||
|
|
||
|
Supercluster.prototype._map = function _map (point, clone) {
|
||
|
if (point.numPoints) {
|
||
|
return clone ? extend({}, point.properties) : point.properties;
|
||
|
}
|
||
|
var original = this.points[point.index].properties;
|
||
|
var result = this.options.map(original);
|
||
|
return clone && result === original ? extend({}, result) : result;
|
||
|
};
|
||
|
|
||
|
function createCluster(x, y, id, numPoints, properties) {
|
||
|
return {
|
||
|
x: x, // weighted cluster center
|
||
|
y: y,
|
||
|
zoom: Infinity, // the last zoom the cluster was processed at
|
||
|
id: id, // encodes index of the first child of the cluster and its zoom level
|
||
|
parentId: -1, // parent cluster id
|
||
|
numPoints: numPoints,
|
||
|
properties: properties
|
||
|
};
|
||
|
}
|
||
|
|
||
|
function createPointCluster(p, id) {
|
||
|
var ref = p.geometry.coordinates;
|
||
|
var x = ref[0];
|
||
|
var y = ref[1];
|
||
|
return {
|
||
|
x: lngX(x), // projected point coordinates
|
||
|
y: latY(y),
|
||
|
zoom: Infinity, // the last zoom the point was processed at
|
||
|
index: id, // index of the source feature in the original input array,
|
||
|
parentId: -1 // parent cluster id
|
||
|
};
|
||
|
}
|
||
|
|
||
|
function getClusterJSON(cluster) {
|
||
|
return {
|
||
|
type: 'Feature',
|
||
|
id: cluster.id,
|
||
|
properties: getClusterProperties(cluster),
|
||
|
geometry: {
|
||
|
type: 'Point',
|
||
|
coordinates: [xLng(cluster.x), yLat(cluster.y)]
|
||
|
}
|
||
|
};
|
||
|
}
|
||
|
|
||
|
function getClusterProperties(cluster) {
|
||
|
var count = cluster.numPoints;
|
||
|
var abbrev =
|
||
|
count >= 10000 ? ((Math.round(count / 1000)) + "k") :
|
||
|
count >= 1000 ? ((Math.round(count / 100) / 10) + "k") : count;
|
||
|
return extend(extend({}, cluster.properties), {
|
||
|
cluster: true,
|
||
|
cluster_id: cluster.id,
|
||
|
point_count: count,
|
||
|
point_count_abbreviated: abbrev
|
||
|
});
|
||
|
}
|
||
|
|
||
|
// longitude/latitude to spherical mercator in [0..1] range
|
||
|
function lngX(lng) {
|
||
|
return lng / 360 + 0.5;
|
||
|
}
|
||
|
function latY(lat) {
|
||
|
var sin = Math.sin(lat * Math.PI / 180);
|
||
|
var y = (0.5 - 0.25 * Math.log((1 + sin) / (1 - sin)) / Math.PI);
|
||
|
return y < 0 ? 0 : y > 1 ? 1 : y;
|
||
|
}
|
||
|
|
||
|
// spherical mercator to longitude/latitude
|
||
|
function xLng(x) {
|
||
|
return (x - 0.5) * 360;
|
||
|
}
|
||
|
function yLat(y) {
|
||
|
var y2 = (180 - y * 360) * Math.PI / 180;
|
||
|
return 360 * Math.atan(Math.exp(y2)) / Math.PI - 90;
|
||
|
}
|
||
|
|
||
|
function extend(dest, src) {
|
||
|
for (var id in src) { dest[id] = src[id]; }
|
||
|
return dest;
|
||
|
}
|
||
|
|
||
|
function getX(p) {
|
||
|
return p.x;
|
||
|
}
|
||
|
function getY(p) {
|
||
|
return p.y;
|
||
|
}
|
||
|
|
||
|
return Supercluster;
|
||
|
|
||
|
}));
|