Query result

Key	Value
FileName	./usr/lib64/python3.9/site-packages/caffe2/python/operator_test/__pycache__/mul_gradient_benchmark.cpython-39.opt-1.pyc
FileSize	1387
MD5	EA03FB0A2B8855BB80FAE57DC0F2E41D
SHA-1	00A2423E1F2C8B949F2E34B42652B3AAFF8BC3DE
SHA-256	CD4D3DA9ADDC63B7A7DEBA399A2B9D2CB92AF56B7F79AB9E54546BCB8EC80997
SSDEEP	24:uO1A1uMVMBDLCbuGv1yxkVVAhVkuLexboCnuVPAtNQ6/L27tKeT/NP/tKMfuA2X8:u/WB3Cx1lVkVkbZuVApDOtK6P/cJbLjw
TLSH	T1CE218691A104627FF98BF1F9752C81F2C170A3AC76F811425D0423DB9D416690936BE8
hashlookup:parent-total	1
hashlookup:trust	55

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The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	FFF0A8FA8E20A7D7A0C375F937F698EF
PackageArch	x86_64
PackageDescription	PyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageMaintainer	https://bugs.opensuse.org
PackageName	python39-torch
PackageRelease	6.3
PackageVersion	1.5.1
SHA-1	6D1984557E9C10A37136B5F81B0AF3A21E7022A4
SHA-256	80D5D462D5ADAE87AA8214167A5304B65F1ADCB29AED1828F644C498F6F4D83F