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AnyImage/tests/nodes/test_image_layer.py
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Initial public release
2026-09-19 21:31:36 +08:00

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Python

import numpy as np
import pytest
from tests.support.materials import image_layer
from nodes.groups.image_depth_layer import build_image_depth_layer_group
def test_alpha_curve_preserves_endpoints_and_suppresses_soft_edges(image_layer):
inputs = {
item.name: item for item in image_layer.interface.items_tree
if item.item_type == "SOCKET" and item.in_out == "INPUT"
}
assert list(inputs) == [
"Color", "Alpha", "Normal", "Normal Scale", "Bump Scale",
"Alpha Fix", "Object Space",
]
output = next(node for node in image_layer.nodes if node.type == "GROUP_OUTPUT")
curve = output.inputs["Alpha"].links[0].from_node
assert curve.type == "CURVE_FLOAT"
assert curve.inputs["Value"].links[0].from_socket.name == "Alpha"
assert curve.inputs["Factor"].links[0].from_socket.name == "Alpha Fix"
mapping = curve.mapping
samples = np.array([
mapping.evaluate(mapping.curves[0], float(alpha))
for alpha in np.linspace(0, 1, 1001)
])
np.testing.assert_allclose(samples[:801], 0, atol=3e-4)
assert samples[-1] == pytest.approx(1)
def test_depth_layer_keeps_foreground_alpha_threshold(image_layer):
depth = build_image_depth_layer_group()
output = next(node for node in depth.nodes if node.type == "GROUP_OUTPUT")
threshold = output.inputs["Alpha"].links[0].from_node
assert threshold.operation == "GREATER_THAN"
assert threshold.inputs[1].default_value == 0.5
assert threshold.inputs[0].links[0].from_socket.name == "Alpha"