nan
f48bbb3d05
- 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.
97 lines
4.0 KiB
Python
97 lines
4.0 KiB
Python
from tests.support.paths import PROJECT_ROOT
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import importlib.util
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import unittest
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def load_module(name, relative_path):
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specification = importlib.util.spec_from_file_location(
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name,
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PROJECT_ROOT / relative_path,
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)
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module = importlib.util.module_from_spec(specification)
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specification.loader.exec_module(module)
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return module
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class ModelCatalogTest(unittest.TestCase):
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@classmethod
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def setUpClass(cls):
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cls.models = load_module(
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"anyimage_server_models",
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"src/anyimage/server/model_catalog.py",
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)
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def test_unknown_model_is_rejected(self):
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with self.assertRaisesRegex(ValueError, "Unknown model"):
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self.models.get_downloadable_model("UNKNOWN")
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def test_ben2_download_only_includes_required_hugging_face_files(self):
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model = self.models.get_downloadable_model("BEN2_BASE")
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self.assertEqual(model.repository, "onnx-community/BEN2-ONNX")
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self.assertEqual(model.license_name, "Apache 2.0")
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self.assertEqual(model.download_patterns, ("onnx/model_fp16.onnx",))
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self.assertEqual(model.ready_patterns, ("onnx/model_fp16.onnx",))
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self.assertEqual(model.r2_files[0][0], "onnx/model_fp16.onnx")
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def test_ben2_model_directory_uses_repository_name(self):
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self.assertEqual(
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self.models.get_downloadable_model("BEN2_BASE").directory_name,
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"BEN2-ONNX",
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)
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def test_upscale_models_use_verified_onnx_artifacts(self):
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expected = {
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"REALESRGAN_GENERAL_WDN_X4V3": ("realesr-general-wdn-x4v3.onnx", 4867419, "b021a837"),
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"SAFMN_REAL_X4": ("safmn-real-x4.onnx", 22657477, "8f13867b"),
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"REALESRGAN_X4PLUS": ("realesrgan-x4plus.onnx", 67051618, "4ed6a45a"),
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}
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self.assertEqual(set(self.models.UPSCALE_MODELS), set(expected) | {"PISA_SR"})
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for key, (filename, size, checksum_prefix) in expected.items():
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with self.subTest(model=key):
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model = self.models.get_downloadable_model(key)
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self.assertEqual(model.download_patterns, (filename,))
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self.assertEqual(model.ready_patterns, (filename,))
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self.assertEqual(model.r2_files[0][:2], (filename, size))
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self.assertTrue(model.r2_files[0][2].startswith(checksum_prefix))
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self.assertEqual(self.models.model_record(model)["family"], "upscale")
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wdn = self.models.UPSCALE_MODELS["REALESRGAN_GENERAL_WDN_X4V3"]
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self.assertEqual(wdn.repository, "xinntao/Real-ESRGAN")
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self.assertEqual(wdn.huggingface_repository, "")
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self.assertEqual(
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self.models.UPSCALE_MODELS["SAFMN_REAL_X4"].huggingface_repository, ""
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)
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def test_moge2_models_use_official_onnx_models(self):
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for key, variant in (("MOGE2_VITS_NORMAL", "vits"),
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("MOGE2_VITB_NORMAL", "vitb"),
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("MOGE2_VITL_NORMAL", "vitl")):
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with self.subTest(key=key):
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model = self.models.get_downloadable_model(key)
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self.assertEqual(
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model.repository,
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f"Ruicheng/moge-2-{variant}-normal-onnx",
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)
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self.assertEqual(model.license_name, "MIT")
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self.assertEqual(model.download_patterns, ("model.onnx",))
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self.assertEqual(model.ready_patterns, ("model.onnx",))
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self.assertEqual(model.r2_directory, model.repository.split("/")[-1])
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self.assertEqual(model.r2_files[0][0], "model.onnx")
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def test_moge2_models_match_uploaded_r2_variants(self):
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self.assertEqual(
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list(self.models.MOGE2_MODELS),
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["MOGE2_VITS_NORMAL", "MOGE2_VITB_NORMAL", "MOGE2_VITL_NORMAL"],
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)
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self.assertEqual(
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[model.r2_directory for model in self.models.MOGE2_MODELS.values()],
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[
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"moge-2-vits-normal-onnx",
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"moge-2-vitb-normal-onnx",
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"moge-2-vitl-normal-onnx",
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],
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)
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