"""Contracts for smooth depth volume, editable presets and normal masks.""" import bpy import numpy as np import pytest from tools.nodes.groups.image_depth_cutout import build_volume_fields from anyimage.common.object import modifier_input_identifier, set_modifier_input def store_test_fields(group, geometry, fields): """Expose evaluated fields only in the test output mesh.""" for name, field in fields.items(): store = group.nodes.new("GeometryNodeStoreNamedAttribute") store.domain = "POINT" store.data_type = "FLOAT_VECTOR" if field.type == "VECTOR" else "FLOAT" store.inputs["Name"].default_value = name group.links.new(geometry, store.inputs["Geometry"]) group.links.new(field, store.inputs["Value"]) geometry = store.outputs["Geometry"] return geometry @pytest.mark.parametrize("mode", [0, 1]) def test_normal_smooth_changes_thickness_direction_without_moving_zero_thickness(mode): from tests.support.depth_surface import surface, evaluated obj, set_value = surface(step=1, resolution=10) xy = np.array([v.co[:2] for v in obj.data.vertices]) profile = .3 * np.sin(np.pi * xy[:, 0] / 2) * np.sin(np.pi * xy[:, 1]) profile[abs(profile) < 1e-7] = 0 obj.data.attributes.new("o_balloon", "FLOAT", "POINT").data.foreach_set("value", profile) set_value("Mode", mode) set_value("Front Inflation", .2) modifier = obj.modifiers[0] thickness = modifier_input_identifier(modifier.node_group, "Thickness", subtype="DISTANCE" if mode else "NONE") def result(amount, smoothing): set_modifier_input(modifier, thickness, amount) set_value("Normal Smooth", smoothing) return evaluated(obj) raw, faces = result(0, 16) smooth, smooth_faces = result(0, 512) np.testing.assert_array_equal(raw, smooth) assert faces == smooth_faces raw, faces = result(1, 16) smooth, smooth_faces = result(1, 512) assert faces == smooth_faces assert np.isfinite(smooth).all() assert np.max(np.abs(raw - smooth)) > 1e-5 def set_test_structure(monkeypatch, value): """Control structural amplitude without depending on storage nodes.""" from tools.nodes.groups import image_depth_cutout build = image_depth_cutout.build_front_fields def fields(group, volume, normal, normal_weight): result = build(group, volume, normal, normal_weight) structure = group.nodes.new("ShaderNodeValue") structure.outputs[0].default_value = value result["structure"] = structure.outputs[0] return result monkeypatch.setattr(image_depth_cutout, "build_front_fields", fields) def test_shell_thickness_extends_behind_the_tilted_front(): from scipy.spatial import cKDTree from tests.support.depth_surface import surface, evaluated, assert_closed obj, set_value = surface(step=0, resolution=4) image = bpy.data.images["Camera"] pixels = np.array(image.pixels[:], dtype=np.float32).reshape(32, 64, 4) pixels[..., 2] = 1 + 0.4 * pixels[..., 0] image.pixels.foreach_set(pixels.ravel()) image.update() obj.update_tag(refresh={"DATA"}) bpy.context.view_layer.update() front, _ = evaluated(obj) set_value("Thickness", 0.2) set_value("Front Inflation", 0.5) points, faces = evaluated(obj) expected = front - 0.2 * np.array((0.4, 0, 1)) / np.sqrt(1.16) assert cKDTree(points).query(expected)[0].max() < 1e-5 assert cKDTree(points).query(front)[0].max() < 1e-5 assert_closed(faces) def test_balloon_shell_converges_to_front_with_thickness(): from scipy.spatial import cKDTree from tests.support.depth_surface import surface, evaluated, assert_closed obj, set_value = surface(step=1, resolution=10) xy = np.array([v.co[:2] for v in obj.data.vertices]) profile = 0.3 * np.sin(np.pi * xy[:, 0] / 2) * np.sin(np.pi * xy[:, 1]) profile[abs(profile) < 1e-7] = 0 obj.data.attributes.new("o_balloon", "FLOAT", "POINT").data.foreach_set("value", profile) set_value("Mode", 0) modifier = obj.modifiers[0] thickness = modifier_input_identifier(modifier.node_group, "Thickness", subtype="NONE") def amount(value): set_modifier_input(modifier, thickness, value) obj.update_tag(refresh={"DATA"}) bpy.context.view_layer.update() return evaluated(obj) front, _ = amount(0) tree = cKDTree(front) gaps = [] for value in (0.01, 0.001, 0.0001): points, faces = amount(value) assert_closed(faces) gaps.append(tree.query(points)[0].max()) np.testing.assert_allclose(np.array(gaps[1:]) / gaps[:-1], 0.1, rtol=0.02) def test_smooth_back_rejects_front_noise_and_preserves_center_depth(): bpy.ops.wm.read_factory_settings(use_empty=True) n = 41 points = np.array([(x, y) for y in np.linspace(-1, 1, n) for x in np.linspace(-1, 1, n)]) profile = np.sqrt(np.maximum(0, np.cos(points[:, 0]*np.pi/2)*np.cos(points[:, 1]*np.pi/2))) * 0.6 boundary = np.max(abs(points), axis=1) > 0.999 profile[boundary] = 0 center = 0.3*points[:, 0] + 0.6*points[:, 1] noise = 0.08*np.sin(points[:, 0]*23)*np.sin(points[:, 1]*19) noise[boundary] = 0 faces = [(y*n+x, y*n+x+1, (y+1)*n+x+1) for y in range(n-1) for x in range(n-1)] faces += [(y*n+x, (y+1)*n+x+1, (y+1)*n+x) for y in range(n-1) for x in range(n-1)] mesh = bpy.data.meshes.new("Noisy front") mesh.from_pydata(np.column_stack((points, center + profile + noise)), [], faces) mesh.attributes.new("o_balloon", "FLOAT", "POINT").data.foreach_set("value", profile.astype(np.float32)) obj = bpy.data.objects.new("Noisy front", mesh) bpy.context.collection.objects.link(obj) group = bpy.data.node_groups.new("Volume field test", "GeometryNodeTree") for name, kind in (("Geometry", "NodeSocketGeometry"), ("Thickness", "NodeSocketFloat")): socket = group.interface.new_socket(name=name, in_out="INPUT", socket_type=kind) if name == "Thickness": socket.default_value = 1 group.interface.new_socket(name="Geometry", in_out="OUTPUT", socket_type="NodeSocketGeometry") source = group.nodes.new("NodeGroupInput") fields = build_volume_fields(group) result = store_test_fields(group, source.outputs["Geometry"], {"thickness": fields["thickness"]}) group.links.new(result, group.nodes.new("NodeGroupOutput").inputs["Geometry"]) obj.modifiers.new("Volume", "NODES").node_group = group bpy.context.view_layer.update() evaluated = obj.evaluated_get(bpy.context.evaluated_depsgraph_get()) result = evaluated.to_mesh() try: thickness = np.array([item.value for item in result.attributes["thickness"].data]) rear = center + profile + noise - thickness error = rear - (center - profile) assert max(abs(error)) < 1e-5 assert np.sqrt(np.mean(error**2)) < np.sqrt(np.mean(noise**2))*0.01 assert max(abs(thickness[boundary])) == 0 finally: evaluated.to_mesh_clear() def test_depth_cutout_normal_map_only_affects_front_faces(): from tests.support.depth_surface import surface obj, set_value = surface() set_value("Thickness", 0.3) bpy.context.view_layer.update() evaluated = obj.evaluated_get(bpy.context.evaluated_depsgraph_get()) mesh = evaluated.to_mesh() try: attribute = mesh.attributes["o_normal_reduction"] assert attribute.domain == "FACE" weights = [1.0 - item.value for item in attribute.data] assert weights.count(1) == len(obj.data.polygons) assert weights.count(0) == len(mesh.polygons) - len(obj.data.polygons) finally: evaluated.to_mesh_clear() @pytest.mark.parametrize("thickness,inflation", [ (0.0, 1.0), (0.02, 0.0), (0.02, 0.0001), (0.02, 0.5), (0.1, 0.5), (0.1, 1.0), ]) def test_shell_ignores_front_inflation(thickness, inflation): from tests.support.depth_surface import surface, evaluated, assert_closed obj, set_value = surface(step=0, resolution=10) xy = np.array([v.co[:2] for v in obj.data.vertices]) profile = 0.3 * np.sin(np.pi * xy[:, 0] / 2) * np.sin(np.pi * xy[:, 1]) profile[abs(profile) < 1e-7] = 0 obj.data.attributes.new("o_balloon", "FLOAT", "POINT").data.foreach_set("value", profile) set_value("Thickness", thickness) set_value("Front Inflation", 0.0) baseline, faces = evaluated(obj) set_value("Front Inflation", inflation) inflated, inflated_faces = evaluated(obj) assert faces == inflated_faces np.testing.assert_array_equal(inflated, baseline) if thickness: assert_closed(inflated_faces) def test_balloon_suppression_is_stronger_without_a_startup_threshold(monkeypatch): from tests.support.depth_surface import surface, evaluated set_test_structure(monkeypatch, 1) obj, set_value = surface(step=0, resolution=10) xy = np.array([v.co[:2] for v in obj.data.vertices]) profile = 0.3 * np.sin(np.pi * xy[:, 0] / 2) * np.sin(np.pi * xy[:, 1]) profile[abs(profile) < 1e-7] = 0 obj.data.attributes.new("o_balloon", "FLOAT", "POINT").data.foreach_set("value", profile) group = obj.modifiers[0].node_group set_value("Mode", 0) thickness_id = modifier_input_identifier(group, "Thickness", subtype="NONE") previous = 0 for thickness in (0.001, 0.01, 0.1, 0.5, 1): set_modifier_input(obj.modifiers[0], thickness_id, thickness) set_value("Front Inflation", 0) baseline, _ = evaluated(obj) set_value("Front Inflation", 1) inflated, _ = evaluated(obj) growth = np.linalg.norm(inflated - baseline, axis=1).max() / profile.max() assert growth > previous previous = growth assert growth == pytest.approx(0.323, abs=0.001)