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https://github.com/invoke-ai/InvokeAI
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feat(mm): add algorithm prefix to hashes
For example: - md5:a0cd925fc063f98dbf029eee315060c3 - sha1:9e362940e5603fdc60566ea100a288ba2fe48b8c - blake3:ce3f0c5f3c05d119f4a5dcaf209b50d3149046a0d3a9adee9fed4c83cad6b4d0
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@ -9,14 +9,15 @@ from blake3 import blake3
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from invokeai.backend.model_hash.model_hash import HASHING_ALGORITHMS, MODEL_FILE_EXTENSIONS, ModelHash
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test_cases: list[tuple[HASHING_ALGORITHMS, str]] = [
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("md5", "a0cd925fc063f98dbf029eee315060c3"),
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("sha1", "9e362940e5603fdc60566ea100a288ba2fe48b8c"),
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("sha256", "6dbdb6a147ad4d808455652bf5a10120161678395f6bfbd21eb6fe4e731aceeb"),
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("md5", "md5:a0cd925fc063f98dbf029eee315060c3"),
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("sha1", "sha1:9e362940e5603fdc60566ea100a288ba2fe48b8c"),
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("sha256", "sha256:6dbdb6a147ad4d808455652bf5a10120161678395f6bfbd21eb6fe4e731aceeb"),
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(
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"sha512",
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"c4a10476b21e00042f638ad5755c561d91f2bb599d3504d25409495e1c7eda94543332a1a90fbb4efdaf9ee462c33e0336b5eae4acfb1fa0b186af452dd67dc6",
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"sha512:c4a10476b21e00042f638ad5755c561d91f2bb599d3504d25409495e1c7eda94543332a1a90fbb4efdaf9ee462c33e0336b5eae4acfb1fa0b186af452dd67dc6",
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),
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("blake3", "ce3f0c5f3c05d119f4a5dcaf209b50d3149046a0d3a9adee9fed4c83cad6b4d0"),
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("blake3", "blake3:ce3f0c5f3c05d119f4a5dcaf209b50d3149046a0d3a9adee9fed4c83cad6b4d0"),
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("blake3_single", "blake3:ce3f0c5f3c05d119f4a5dcaf209b50d3149046a0d3a9adee9fed4c83cad6b4d0"),
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]
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@ -24,11 +25,11 @@ test_cases: list[tuple[HASHING_ALGORITHMS, str]] = [
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def test_model_hash_hashes_file(tmp_path: Path, algorithm: HASHING_ALGORITHMS, expected_hash: str):
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file = Path(tmp_path / "test")
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file.write_text("model data")
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md5 = ModelHash(algorithm).hash(file)
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assert md5 == expected_hash
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hash_ = ModelHash(algorithm).hash(file)
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assert hash_ == expected_hash
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@pytest.mark.parametrize("algorithm", ["md5", "sha1", "sha256", "sha512", "blake3"])
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@pytest.mark.parametrize("algorithm", ["md5", "sha1", "sha256", "sha512", "blake3", "blake3_single"])
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def test_model_hash_hashes_dir(tmp_path: Path, algorithm: HASHING_ALGORITHMS):
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model_hash = ModelHash(algorithm)
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files = [Path(tmp_path, f"{i}.bin") for i in range(5)]
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@ -36,15 +37,33 @@ def test_model_hash_hashes_dir(tmp_path: Path, algorithm: HASHING_ALGORITHMS):
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for f in files:
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f.write_text("data")
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md5 = model_hash.hash(tmp_path)
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hash_ = model_hash.hash(tmp_path)
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# Manual implementation of composite hash - always uses BLAKE3
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component_hashes: list[str] = []
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for f in sorted(ModelHash._get_file_paths(tmp_path, ModelHash._default_file_filter)):
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component_hashes.append(model_hash._hash_file(f))
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composite_hasher = blake3()
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for f in files:
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h = model_hash.hash(f)
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for h in component_hashes:
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composite_hasher.update(h.encode("utf-8"))
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assert md5 == composite_hasher.hexdigest()
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assert hash_ == ModelHash._get_prefix(algorithm) + composite_hasher.hexdigest()
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@pytest.mark.parametrize(
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"algorithm,expected_prefix",
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[
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("md5", "md5:"),
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("sha1", "sha1:"),
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("sha256", "sha256:"),
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("sha512", "sha512:"),
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("blake3", "blake3:"),
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("blake3_single", "blake3:"),
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],
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)
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def test_model_hash_gets_prefix(algorithm: HASHING_ALGORITHMS, expected_prefix: str):
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assert ModelHash._get_prefix(algorithm) == expected_prefix
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def test_model_hash_blake3_matches_blake3_single(tmp_path: Path):
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