- Implement tests for image layer functionality including alpha curve and depth layer behavior. - Create tests for image plane evaluation and modifier input handling. - Add tests to verify the saved asset inventory and its persistence. - Introduce tests for the documentation command to ensure correct project version deployment. - Validate the extension manifest structure and required permissions. - Develop tests for the packaging process, ensuring correct platform handling and dependency management. - Enhance image depth plane group functionality with new split threshold input and surface processing.
35 lines
1.7 KiB
Python
35 lines
1.7 KiB
Python
import bpy
|
|
import numpy as np
|
|
import pytest
|
|
from anyimage.operators.cutout_tool.object import load_cutout_node_group
|
|
from anyimage.operators.cutout_tool.operators import normal_mode_for_shape
|
|
from anyimage.operators.cutout_tool.geometry import refine_balloon_triangles, poisson_balloon_profile
|
|
|
|
|
|
@pytest.mark.parametrize("enabled", [False, True])
|
|
def test_depth_presets_always_generate_the_correct_normal_space(enabled):
|
|
assert normal_mode_for_shape("DEPTH_SOLID", enabled) == "OBJECT"
|
|
assert normal_mode_for_shape("DEPTH_BALLOON", enabled) == "TANGENT"
|
|
for shape in ("FLAT", "SOLID"):
|
|
assert normal_mode_for_shape(shape, enabled) == ("TANGENT" if enabled else "NONE")
|
|
|
|
|
|
def test_new_cutout_does_not_reuse_a_saved_wrapper():
|
|
bpy.ops.wm.read_factory_settings(use_empty=True)
|
|
saved = bpy.data.node_groups.new("O Image Cutout", "GeometryNodeTree")
|
|
saved.interface.new_socket(name="Shape", in_out="INPUT", socket_type="NodeSocketMenu")
|
|
saved.use_fake_user = True
|
|
current = load_cutout_node_group("SOLID")
|
|
assert current != saved and current.get("anyimage_asset_revision") == 11
|
|
assert saved in bpy.data.node_groups.values()
|
|
assert current == load_cutout_node_group("FLAT")
|
|
assert any(item.name == "Shape" for item in saved.interface.items_tree)
|
|
|
|
|
|
def test_refined_boundary_ears_have_interior_balloon_samples():
|
|
points = np.array([(0, 0), (1, 0), (1, 1), (0, 1)], dtype=float)
|
|
points, faces, boundary = refine_balloon_triangles(points, [(0, 1, 2), (0, 2, 3)], np.ones(4, bool))
|
|
profile = poisson_balloon_profile(points, faces, boundary)
|
|
assert np.all(profile[boundary] == 0)
|
|
assert all(any(profile[index] > 0 for index in face) for face in faces)
|