feat(cutout): implement boundary padding for cutout textures

- Introduced a new `Boundary Padding` preference in the Cutout Tool with a default of 2 px and a configurable range of 1-4 px.
- Updated the Cutout client to establish inward mapping from the final Mask, sampling in a fixed direction and processing independent material RGBA and Depth.
- Enhanced the handling of RGBA and Depth during cutout operations, ensuring proper mapping and preservation of source data.
- Added tests to validate the new boundary padding functionality and its integration with existing cutout processes.

feat(geometry): remove overall mesh smoothing from geometry nodes

- Removed the `Smooth` input from several geometry node groups to eliminate unnecessary overall mesh smoothing.
- Retained `Smooth Weight` for depth nodes while removing it from Cutout and Relief Plane nodes.
- Ensured that boundary, normal, and fill smoothing behaviors remain intact and consistent.
- Updated tests and documentation to reflect the changes in node interfaces and behaviors.

feat(normals): scale tangent normals with depth

- Reused the existing `o_normal_reduction` attribute to adjust Tangent Normal strength based on the geometry's `Depth Scale`.
- Ensured that Tangent Normal strength is consistent with the geometry depth, preserving full strength for materials that do not provide the attribute.
- Updated tests to verify the correct behavior of normal strength adjustments in both Tangent and Object Space.

tests/tools/nodes/test_boundary_depth.py

@@ -78,7 +78,7 @@ def test_cutout_fine_outline_smooths_only_within_boundary_band():
     obj, set_value = surface(step=0, resolution=8)
     yy, xx = np.mgrid[:32, :64]
     alpha = ((xx - 32)**2 / 27**2 + (yy - 16)**2 / 13**2 < 1).astype(float)
-    points, faces, _, _ = build_mesh(alpha, 3, .9)
+    points, faces, _, _, _ = build_mesh(alpha, 3, .9)
     obj.data.clear_geometry()
     obj.data.from_pydata([(x / 32, y / 32, 0) for x, y in points], [], faces.tolist())
     uv = obj.data.uv_layers.get("UVMap") or obj.data.uv_layers.new(name="UVMap")