| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/cast.cpython-36.pyc |
| FileSize | 2595 |
| MD5 | 752EF4A8A66CB15989EB8EC9BF39C153 |
| SHA-1 | 001801F875B8ABCAB6363C58CE9D825B3F029D81 |
| SHA-256 | 39D50889609BB6CEB9D3E0AD42085EA1FEF7D7B208DF77E9C835627934EFF180 |
| SSDEEP | 48:xJJh17FDxYMJC0XthHtt6NSe2aUmTKlTH9up7xc5oB+otAaKLcHp3E+i:lNxDJHdh0H2a7T+TcVxc5JIKcOT |
| TLSH | T13051E7A44106B977F353F6FCE0E9029484947290B3C8FA52AF684A16BC063E2163275C |
| 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 |