nan
31074bd511
- Introduced tests for boundary smoothing in `test_boundary_smoothing.py`, verifying that smoothing reduces stair-step artifacts while preserving boundary integrity. - Added tests for cutout boundary behavior in `test_cutout_boundary.py`, ensuring proper handling of boundary triangles and normal blending. - Created `test_temporary_attributes.py` to check the cleanup of temporary attributes across depth modifier branches, ensuring no warnings are raised. - Implemented point culling functionality in `test_validity.py`, confirming that invalid points are removed without affecting adjacent geometry. - Developed boundary smoothing logic in `boundary_smoothing.py`, allowing for depth smoothing while maintaining edge integrity. - Added cutout boundary management in `cutout_boundary.py`, including functions for removing boundary triangles and tapering thickness profiles. - Implemented validity checks in `validity.py` to ensure proper deletion of invalid vertices and associated wire edges.
44 lines
1.7 KiB
Python
44 lines
1.7 KiB
Python
"""Check temporary attribute lifetimes across depth modifier branches."""
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import bpy
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import pytest
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from anyimage.common.node import node_asset_path
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from tests.support.depth_surface import surface
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from tests.support.planes import create_surface
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from tests.tools.nodes.test_image_depth_panorama import panorama
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@pytest.mark.parametrize("source", ["definition", "asset"])
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@pytest.mark.parametrize("kind", ["cutout", "plane", "panorama"])
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def test_depth_attribute_cleanup_has_no_warnings(source, kind):
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if kind == "cutout":
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obj, set_value = surface()
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elif kind == "plane":
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obj, set_value, *_ = create_surface("definition", "DEPTH")
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else:
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obj, set_value = panorama(subdivide=2)
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modifier = obj.modifiers[0]
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if source == "asset":
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name = modifier.node_group.name
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modifier.node_group.name += " Definition"
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with bpy.data.libraries.load(str(node_asset_path())) as (_, target):
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target.node_groups = [name]
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modifier.node_group = target.node_groups[0]
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for split in (0.0, 0.5, 0.0):
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set_value("Split Threshold", split)
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for smooth in (0, 5):
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set_value("Boundary Smooth", smooth)
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evaluated = obj.evaluated_get(bpy.context.evaluated_depsgraph_get())
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mesh = evaluated.to_mesh()
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try:
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assert mesh.vertices
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assert not {a.name for a in mesh.attributes} & {
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".o_anyimage_depth_cut", ".o_anyimage_original_boundary",
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}
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assert not list(modifier.node_warnings), [
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warning.message for warning in modifier.node_warnings
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]
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finally:
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evaluated.to_mesh_clear()
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