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docs/lib2x-nz_worley3.md
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# nz_worley3
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Returns the 3D [Worley noise](https://en.wikipedia.org/wiki/Worley_noise) value `[cell_x, cell_y, cell_y, noise]` at the (x, y, z) coordinate.
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It divides the space into grids. The nucleus of each cell is randomly placed in a grid.
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**Since:** 2.3
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## Parameters
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- `x` : The x coordinate.
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- `y` : The y coordinate.
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- `z` : The z coordinate.
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- `seed` : The random seed.
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- `grid_w` : The grid width. Default to 10. Smaller `grid_w` makes more cells.
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- `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"`.
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## Examples
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use <pixel/px_sphere.scad>;
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use <noise/nz_worley3.scad>;
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grid_w = 10;
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dist = "border"; // [euclidean, manhattan, chebyshev, border]
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seed = 51;
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points = px_sphere(20);
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cells = [for(p = points) nz_worley3(p[0], p[1], p[2], seed, grid_w, dist)];
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max_dist = max([for(c = cells) c[3]]);
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for(i = [0:len(cells) - 1]) {
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c = cells[i][3] / max_dist * 1.5;
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color([c > 1 ? 1 : c, 0, 0])
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translate(points[i])
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cube(1);
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}
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docs/lib2x-nz_worley3s.md
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docs/lib2x-nz_worley3s.md
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# nz_worley3s
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Returns 3D [Worley noise](https://en.wikipedia.org/wiki/Worley_noise) values `[cell_x, cell_y, cell_y, noise]` at (x, y, z) coordinates.
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It divides the space into grids. The nucleus of each cell is randomly placed in a grid.
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**Since:** 2.3
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## Parameters
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- `points` : A list of `[x, y, z]` coordinates.
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- `seed` : The random seed.
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- `grid_w` : The grid width. Default to 10. Smaller `grid_w` makes more cells.
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- `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"`.
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## Examples
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use <pixel/px_sphere.scad>;
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use <noise/nz_worley3s.scad>;
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tile_w = 10;
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dist = "euclidean"; // [euclidean, manhattan, chebyshev, border]
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seed = 51;
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points = px_sphere(20);
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cells = nz_worley3s(points, seed, tile_w, dist);
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for(i = [0:len(cells) - 1]) {
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c = (norm([cells[i][0], cells[i][1], cells[i][2]]) % 20) / 20;
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color([c, c, c])
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translate(points[i])
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cube(1);
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}
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You can build things like [worley_noise_ball](https://github.com/JustinSDK/dotSCAD/blob/master/examples/worley_noise_ball.scad).
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