| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/reducemin.cpython-36.pyc |
| FileSize | 3584 |
| MD5 | 4DA69919252BFB6C63B9C40B953FE080 |
| SHA-1 | 005FC48ADE80E5C0371C937C4BD339C13D53A86D |
| SHA-256 | E47868CABDB77B893C834F656C5BA297A62CFF51430313D34768030736FDFF1F |
| SSDEEP | 48:dD19jPiNfbP4UvFkTABGkgPAcff/1dJbLja6cSUjLBSfvPCcuc5dDJbLh5kS9PgI:d/eNL1F4Ucff9bnS1yCcucNbzhBP |
| TLSH | T1AA712289D8018F3AFE56F87BC1ED0181EF69D51F1BC658376B80A18BAF463541F29329 |
| 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 | 0D124E1D096043BE9A73FDB6576BC608 |
| PackageArch | x86_64 |
| 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. |
| PackageName | python3-onnx |
| PackageRelease | lp153.2.78 |
| PackageVersion | 1.8.1 |
| SHA-1 | CF1717814C8C1495A3BF5B49BBCF2AB8B1B36218 |
| SHA-256 | AAE2D7A08EF1A705F010B32FF3A2865FBC644F0ABE66BA83D2EB088EF2F0A207 |