Returns the 2D Worley noise value `[cell_x, cell_y, noise]`

at the (x, y) coordinate.

It divides the space into grids. The nucleus of each cell is randomly placed in a grid.

**Since:** 2.3

## Parameters

`x`

: The x coordinate.`y`

: The y coordinate.`seed`

: The random seed.`grid_w`

: The grid width. Default to 10. Smaller`grid_w`

makes more cells.`dist`

: The noise value of each point is based on its distance to other cells. Different distance strategies make different noises. The`dist`

parameter accepts`"euclidean"`

,`"manhattan"`

,`"chebyshev"`

or`"border"`

.

## Examples

```
use <noise/nz_worley2.scad>;
use <util/dedup.scad>;
size = [100, 50];
grid_w = 10;
dist = "euclidean"; // [euclidean, manhattan, chebyshev, border]
seed = 51;
points = [
for(y = [0:size[1] - 1])
for(x = [0:size[0] - 1])
[x, y]
];
cells = [for(p = points) nz_worley2(p[0], p[1], seed, grid_w, dist)];
max_dist = max([for(c = cells) c[2]]);
for(i = [0:len(cells) - 1]) {
c = cells[i][2] / max_dist;
color([c, c, c])
linear_extrude(cells[i][2])
translate(points[i])
square(1);
}
cells_pts = dedup([for(c = cells) [c[0], c[1]]]);
for(p = cells_pts) {
translate(p)
linear_extrude(max_dist)
square(1);
}
```