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chore: bump version to 1.0.1 and update related files

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马南
2026-09-18 08:36:51 +08:00
parent 0e0287d340
commit 531f7a4dfb
10 changed files with 7 additions and 554 deletions
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80
tests/tools/nodes/test_cutout_boundary.py
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@@ -4,11 +4,8 @@ import bpy
import numpy as np
import pytest
from anyimage.common.object import modifier_input_identifier, set_modifier_input
from tests.support.depth_surface import surface, evaluated
from tests.tools.nodes.test_boundary_smoothing import diagonal_surface
from tools.nodes.common.cutout_boundary import remove_boundary_triangles
from tools.nodes.groups.image_depth_cutout import build_normal_direction, build_normal_weight
def profile_values(obj):
@@ -32,23 +29,6 @@ def vertex_uv(obj):
result.to_mesh_clear()
def test_boundary_triangle_cleanup_is_one_pass():
obj, _ = surface(resolution=2)
group = obj.modifiers[0].node_group
mesh = bpy.data.meshes.new("Boundary ears")
mesh.from_pydata([(0,0,0),(1,0,0),(1,1,0),(0,1,0),(.5,.5,0),(2,0,0)], [],
[(0,1,4),(1,2,4),(2,3,4),(3,0,4),(1,5,2)])
obj.data = mesh
source = group.nodes.new("NodeGroupInput")
cleaned = remove_boundary_triangles(group, source.outputs["Geometry"])
group.links.new(cleaned, next(n for n in group.nodes if n.type == "GROUP_OUTPUT").inputs["Geometry"])
obj.update_tag(refresh={"DATA"})
bpy.context.view_layer.update()
_, faces = evaluated(obj)
assert len(faces) == 4
assert all(len(f) == 3 for f in faces)
@pytest.mark.parametrize("iterations", [0, 16])
def test_cleaned_sawtooth_smoothing_preserves_face_orientation(iterations):
obj, set_value = diagonal_surface(triangles=True)
@@ -90,63 +70,3 @@ def test_split_profile_tapers_within_boundary_band():
assert values.max() == pytest.approx(.3)
set_value("Depth Split", 0)
np.testing.assert_allclose(profile_values(obj), .3)
def sampled(obj, group, value, name):
"""Store one field on the points and read it back from the evaluated mesh."""
data_type, reader = {"VECTOR": ("FLOAT_VECTOR", "vector"), "VALUE": ("FLOAT", "value")}[value.type]
store = group.nodes.new("GeometryNodeStoreNamedAttribute")
store.data_type, store.domain = data_type, "POINT"
store.inputs["Name"].default_value = name
source = group.nodes.new("NodeGroupInput")
group.links.new(source.outputs["Geometry"], store.inputs["Geometry"])
group.links.new(value, store.inputs["Value"])
group.links.new(store.outputs[0], next(n for n in group.nodes if n.type == "GROUP_OUTPUT").inputs["Geometry"])
obj.update_tag(refresh={"DATA"})
bpy.context.view_layer.update()
result = obj.evaluated_get(bpy.context.evaluated_depsgraph_get())
mesh = result.to_mesh()
try:
return np.array([getattr(item, reader) for item in mesh.attributes[name].data])
finally:
result.to_mesh_clear()
def test_normal_weight_follows_profile_only_in_balloon_mode():
obj, _ = surface(resolution=2)
group = obj.modifiers[0].node_group
is_shell = group.nodes.new("FunctionNodeInputBool")
profile = group.nodes.new("ShaderNodeValue")
profile.outputs[0].default_value = .25
weight = build_normal_weight(group, is_shell.outputs[0], profile.outputs[0])
np.testing.assert_allclose(sampled(obj, group, weight, "normal_weight"), .25)
is_shell.boolean = True
np.testing.assert_allclose(sampled(obj, group, weight, "normal_weight"), 0.0)
def test_normal_direction_turns_the_edge_with_edge_turn():
obj, _ = surface(resolution=2)
group = obj.modifiers[0].node_group
smoothed = group.nodes.new("ShaderNodeCombineXYZ")
smoothed.inputs["Z"].default_value = 1
average = group.nodes.new("ShaderNodeCombineXYZ")
average.inputs["X"].default_value = 1
weight = group.nodes.new("ShaderNodeValue")
controls = group.nodes.new("NodeGroupInput")
direction = build_normal_direction(
group, controls, smoothed.outputs[0], average.outputs[0], weight.outputs[0],
)
modifier = obj.modifiers[0]
turn = modifier_input_identifier(group, "Edge Turn")
def result(weight_value, turn_value):
weight.outputs[0].default_value = weight_value
set_modifier_input(modifier, turn, turn_value)
obj.update_tag(refresh={"DATA"})
bpy.context.view_layer.update()
return sampled(obj, group, direction, "normal_direction")[0]
np.testing.assert_allclose(result(0.0, 0.0), (0, 0, 1), atol=1e-6)
np.testing.assert_allclose(result(0.0, 1.0), (1, 0, 0), atol=1e-6)
np.testing.assert_allclose(result(0.0, 2.0), (2, 0, -1) / np.sqrt(5), atol=1e-6)
np.testing.assert_allclose(result(1.0, 2.0), (1, 0, 0), atol=1e-6)