Result for 000CDF13981BDC0B99EC177E0A79E2124AE2726D

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/lrn.cpython-38.pyc
FileSize1985
MD50F9B054757AFD7CFDF5616D3318C73F1
SHA-1000CDF13981BDC0B99EC177E0A79E2124AE2726D
SHA-2560E4A3969F7ADE3CFB9486031C0FD4207F11BEE6639B786DD1EB2E8315ACA169D
SSDEEP48:eF110NFAGJocazf2IL9fYDCKT77hGJocTwHJ7TcOk:eFYJoc0f2O9fyTAJocTwHJ7gOk
TLSHT19341B796A543CA5DFFC4F4B2C1FC0007B95955F92B52252A3F08B3721C097E11A297C7
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
MD50CA85AE87E18D94227EA973C9F0D6452
PackageArchx86_64
PackageDescriptionOpen format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-onnx
PackageRelease1.10
PackageVersion1.8.1
SHA-1B4210447C90A63D1226DAC2E0BC4319F3AF32597
SHA-256BC9E2C3AC9397B67C8F9F6A296BB473DF05482A46BC8707F9C1F2A989295AE7B