Files
AnyImage/tests/anyimage/operators/test_upscale_undo.py
nan 938d95db0f Add new functionality for image rectification and depth metadata handling
- Implemented a preview tool for rectifying images with interactive aspect controls in `preview.py`.
- Added tests for depth metadata loading to ensure consistent schema usage in `test_depth_metadata.py`.
- Developed comprehensive tests for cutout calibration processes in `test_cutout_calibration.py`, including stability checks and depth calibration.
- Created tests for frame compositing operations in `test_frame_compositing.py`, ensuring correct handling of depth and transparency.
- Introduced material slot inheritance functionality in `material_slots.py` to manage geometry material assignments.
- Built shared shader nodes for material processing in `shader.py`, including roughness and bump mapping setups.
2026-09-12 19:20:06 +08:00

47 lines
2.0 KiB
Python

from types import SimpleNamespace
from unittest.mock import patch
import bpy
import numpy as np
from PIL import Image
from anyimage.operators.upscale import UpscaleImage
from anyimage.common.image import image_pixels
from anyimage.common.image_target import ImageEditTarget
def test_upscale_result_replacement_undo_restores_source(tmp_path):
source = bpy.data.images.new("Upscale undo source", width=8, height=8, alpha=True)
source.pixels.foreach_set(np.ones(8*8*4, dtype=np.float32))
source.pack()
owner = bpy.data.objects.new("Upscale undo owner", None)
owner.empty_display_type = "IMAGE"
owner.data = source
bpy.context.scene.collection.objects.link(owner)
owner_name, source_name = owner.name, source.name
before = image_pixels(source)
Image.new("RGBA", (16,16), (32,64,96,128)).save(tmp_path / "upscale.png")
def execute(operator, context):
operator._image_target = ImageEditTarget.capture(SimpleNamespace(object=owner))
operator.model = "HAT_GAN_X4_SHARPER"
operator.response(context, SimpleNamespace(file=lambda key: tmp_path / f"{key}.png"))
return {"FINISHED"}
bpy.context.preferences.edit.use_global_undo = True
with patch.object(UpscaleImage, "execute", execute), patch.object(
UpscaleImage, "poll", classmethod(lambda cls, context: True)
):
bpy.utils.register_class(UpscaleImage)
try:
bpy.ops.ed.undo_push(message="Before Upscale")
assert bpy.ops.anyimage.upscale_image("EXEC_DEFAULT", True) == {"FINISHED"}
assert tuple(bpy.data.objects[owner_name].data.size) == (16,16)
assert bpy.ops.ed.undo() == {"FINISHED"}
restored = bpy.data.objects[owner_name].data
assert tuple(restored.size) == (8,8)
np.testing.assert_array_equal(image_pixels(restored), before)
finally:
bpy.utils.unregister_class(UpscaleImage)
bpy.data.objects.remove(bpy.data.objects[owner_name], do_unlink=True)
bpy.data.images.remove(bpy.data.images[source_name])