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fix precision error on voronoi.neighbors #138

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Mar 4, 2023
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10 changes: 5 additions & 5 deletions src/voronoi.js
Original file line number Diff line number Diff line change
Expand Up @@ -152,17 +152,17 @@ export default class Voronoi {
return this.delaunay._step(i, x, y) === i;
}
*neighbors(i) {
const epsilon = 1e-12;
const ci = this._clip(i);
if (ci) for (const j of this.delaunay.neighbors(i)) {
const cj = this._clip(j);
// find the common edge
if (cj) loop: for (let ai = 0, li = ci.length; ai < li; ai += 2) {
for (let aj = 0, lj = cj.length; aj < lj; aj += 2) {
if (ci[ai] == cj[aj]
&& ci[ai + 1] == cj[aj + 1]
&& ci[(ai + 2) % li] == cj[(aj + lj - 2) % lj]
&& ci[(ai + 3) % li] == cj[(aj + lj - 1) % lj]
) {
if (Math.abs(ci[ai] - cj[aj]) < epsilon
&& Math.abs(ci[ai + 1] - cj[aj + 1]) < epsilon
&& Math.abs(ci[(ai + 2) % li] - cj[(aj + lj - 2) % lj]) < epsilon
&& Math.abs(ci[(ai + 3) % li] - cj[(aj + lj - 1) % lj]) < epsilon) {
yield j;
break loop;
}
Expand Down
13 changes: 7 additions & 6 deletions test/voronoi-test.js
Original file line number Diff line number Diff line change
Expand Up @@ -53,12 +53,7 @@ it("zero-length edges are removed", () => {

it("voronoi neighbors are clipped", () => {
const voronoi = Delaunay.from([[300, 10], [200, 100], [300, 100], [10, 10], [350, 200], [350, 400]]).voronoi([0, 0, 500, 150]);
assert.deepStrictEqual([...voronoi.neighbors(0)].sort(), [1, 2]);
assert.deepStrictEqual([...voronoi.neighbors(1)].sort(), [0, 2]);
assert.deepStrictEqual([...voronoi.neighbors(2)].sort(), [0, 1, 4]);
assert.deepStrictEqual([...voronoi.neighbors(3)].sort(), []);
assert.deepStrictEqual([...voronoi.neighbors(4)].sort(), [2]);
assert.deepStrictEqual([...voronoi.neighbors(5)].sort(), []);
assert.deepStrictEqual([0, 1, 2, 3, 4, 5].map(i => [...voronoi.neighbors(i)].sort()), [ [1, 2], [0, 2, 3], [0, 1, 4], [1], [2], []]);
});

it("unnecessary points on the corners are avoided (#88)", () => {
Expand Down Expand Up @@ -87,3 +82,9 @@ it("cellPolygons filter out empty cells and have the cell index as a property",
Object.assign([[0, 1], [1, 0], [2, 0], [2, 2], [0, 2], [0, 1]], { index: 2 })
]);
});

it("voronoi.neighbors returns the correct neighbors", () => {
const points = [[10, 10], [36, 27], [90, 19], [50, 75]];
const voronoi = Delaunay.from(points).voronoi([0, 0, 100, 90]);
assert.deepStrictEqual([0, 1, 2, 3].map(i => [...voronoi.neighbors(i)].sort()), [[1], [0, 2, 3], [1, 3], [1, 2]]);
});