Result for 01059703A99392549FB6E3DEAC84A03D89F29926

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/neg.cpython-38.pyc
FileSize1113
MD55A05531D8FE1F98F48EB2F77B276C9DF
SHA-101059703A99392549FB6E3DEAC84A03D89F29926
SHA-25651AE4A58793E42C88FA91585662FB048FDE9B5774DE63895F385DA281EBF6B3A
SSDEEP24:RmFDz1uGv1UIGCthq6MvOml0hZ6EOJiSt1Awm8/Wcn5KKoK/BlKJaOYIYI:UD1BP2OmaphdcN5pfKAYYI
TLSHT1792132C2C5438FAAFF28F0F6C4EE0119C6B1A1AD13C16D533B84672A1C082E62970A4C
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
MD54968FBDE3FAADCE4D785DB8019E3BA23
PackageArchi586
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-1527D2BF4F7F9FAEF88C1F4F157FFCEF52875A0AE
SHA-256B161199B6B4B874CC5564379D12DE2FC460B2F57BF6BD0300BC4B381C8D56112