Result for 00BE9E07079E955CAAE0371024BD4EBF7623956D

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/onnx/backend/test/case/model/__pycache__/__init__.cpython-39.pyc
FileSize1978
MD5087E17B65BC6868DD7A5D48C7CA5E5A5
SHA-100BE9E07079E955CAAE0371024BD4EBF7623956D
SHA-2568ED341BDB3081E621C3BAB77EC12DF0BD8BC3E5BFC364BC1B54F8A55841E39C7
SSDEEP48:wAl/s1bcKLVF8bcrpx9rqa15XPnPCgC8FbR2CQ2xyRqzz:Rl/u8b0xhnzXPPCgC8FbQxuBz
TLSHT1A34175D0811F4E28FFEAF5F4E0198331C1F582335B9C78C25A2851296F1ABF178A559E
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
MD503B3DE1C8DD9B1C60845B06DEA6E0543
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
PackageNamepython39-onnx
PackageRelease1.10
PackageVersion1.8.1
SHA-169284B69A2A5BF779B7816D37C888F763316D699
SHA-25699CE7A471821D4A9D58333AD13D0ECB3ABE44D21F23ED73FCDBA8A3746B6F02F