Result for 006DE5AE2160B746022AFA8D8BA31B03D52F9E12

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/onnx/backend/test/case/node/__pycache__/clip.cpython-39.pyc
FileSize3137
MD5F40EFCD84D82410ECE0F065A38B7FD14
SHA-1006DE5AE2160B746022AFA8D8BA31B03D52F9E12
SHA-256207A22DF36F078BCD4F5AFE596ABD49A06665C09D8A86E731128C996B81690AA
SSDEEP96:bLau8l1QJ9Eh0UzxSzknJsxTzO6S8kckbpIYQVP:3dVJK0UzxSAJsxe6SHckRQ9
TLSHT1415144C5A896DF65FE03F1F550E64A204250C4288BC7B82B79C0639EBD5419F3DC0719
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
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