Key | Value |
---|---|
FileName | ./usr/lib/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/neg.cpython-38.pyc |
FileSize | 1113 |
MD5 | 5A05531D8FE1F98F48EB2F77B276C9DF |
SHA-1 | 01059703A99392549FB6E3DEAC84A03D89F29926 |
SHA-256 | 51AE4A58793E42C88FA91585662FB048FDE9B5774DE63895F385DA281EBF6B3A |
SSDEEP | 24:RmFDz1uGv1UIGCthq6MvOml0hZ6EOJiSt1Awm8/Wcn5KKoK/BlKJaOYIYI:UD1BP2OmaphdcN5pfKAYYI |
TLSH | T1792132C2C5438FAAFF28F0F6C4EE0119C6B1A1AD13C16D533B84672A1C082E62970A4C |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 | 4968FBDE3FAADCE4D785DB8019E3BA23 |
PackageArch | i586 |
PackageDescription | Open 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. |
PackageMaintainer | https://bugs.opensuse.org |
PackageName | python38-onnx |
PackageRelease | 1.10 |
PackageVersion | 1.8.1 |
SHA-1 | 527D2BF4F7F9FAEF88C1F4F157FFCEF52875A0AE |
SHA-256 | B161199B6B4B874CC5564379D12DE2FC460B2F57BF6BD0300BC4B381C8D56112 |