Mandelbulb

mandelbulb.py

def mandelbulb(points=[],
               exponent=Vector((8.0, 8.0, 8.0)),
               iterations=32,
               exclude_upper=False):
    results = []
    for point in points:
        result = mandelbulb_step(
            center=point,
            exponent=exponent,
            iterations=iterations,
            exclude_upper=exclude_upper)
        results.append(result)

    return results
  
  
  def cube_mandelbulb(count=32,
                    collection=context.collection,
                    name='Mandelbulb',
                    material=None,
                    min_corner=Vector((-0.5, -0.5, -0.5)),
                    max_corner=Vector((0.5, 0.5, 0.5)),
                    exponent=Vector((8.0, 8.0, 8.0)),
                    iterations=32,
                    exclude_upper_mandel=False,
                    fractal_center=Vector(),
                    fractal_scale=2.0,
                    prune_cubes=True,
                    prune_lower_bound=0.05,
                    prune_upper_bound=1.0,
                    min_cube_size=0.15,
                    max_cube_size=0.975,
                    cube_pivot=Vector((0.0, 0.0, 0.0)),
                    easing_func=float_lerp):
    grid = gen_3d_grid(
        count=count,
        offset=fractal_center,
        scale=fractal_scale,
        min_corner=min_corner,
        max_corner=max_corner)
    w = grid['width']
    h = grid['height']
    d = grid['depth']
    points = grid['points']

    results = mandelbulb(
        points=points,
        exponent=exponent,
        iterations=iterations,
        exclude_upper=exclude_upper_mandel)

    dimensions = Vector((w, h, d)) / count
    obj = visualize_fractal(
        collection=collection,
        name=name,
        material=material,
        results=results,
        fractal_center=fractal_center,
        fractal_scale=fractal_scale,
        prune_cubes=prune_cubes,
        prune_lower_bound=prune_lower_bound,
        prune_upper_bound=prune_upper_bound,
        cube_pivot=cube_pivot,
        cube_size=dimensions,
        min_cube_size=min_cube_size,
        max_cube_size=max_cube_size,
        easing_func=easing_func)

    return obj