Result for 002CB101F90C5A3E9F0F56A6AB941F1F54E540AA

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/flatten.cpython-38.pyc
FileSize2117
MD53A36089F1AF45CBD6F72CCBE42B1A943
SHA-1002CB101F90C5A3E9F0F56A6AB941F1F54E540AA
SHA-2563AA95B2B78FAB5F66F624397FD8484FB0E41BF829416DA4B5F4E0ED647FEFB4D
SSDEEP48:4D1JEAPflpA3ZldkyXoi5PbzYrGBiB3S1DBYI:4LEqtqpjX5xzYciBijP
TLSHT1C24154D3944B9E62FF6BF4FAC4FA01C2846195D913C27B12AA6412591F5D2A44521A0F
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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