| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/greater.cpython-36.pyc |
| FileSize | 1468 |
| MD5 | B5FB0A47B5D72359DC4B71BE6B99988F |
| SHA-1 | 009E9D2BA99537FEB16E1317EA0F4F1D8838C534 |
| SHA-256 | E83CEAC451974F45CC3220FF3CFFA0249DBD0639388E0E8AC15878EA1D3EDE70 |
| SSDEEP | 24:PrFDz1uGv1UkiRBVRMQLEV3b//tMBA/WYnGwFyLCcXxzMT0oZngb0YTL7JtONIYI:PhD110HLE5biBAx2LCch4I0fYTnbvYI |
| TLSH | T17E3153C1E446EEB9FD19F1BDC1FB0494C4B4226B4743A0173B84944F2FA73E61564AD5 |
| 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 | 86FB1BE86E57C54AF6262D4E7D2AF4C9 |
| 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 | 2.113 |
| PackageVersion | 1.8.1 |
| SHA-1 | 37EBC54D3C428044AB8218D8E67B5CD65AF1D240 |
| SHA-256 | 5B7D2783BC22F5AA80D060CAF404F287BFCFA68287A1FE2AD038EBEC6B6FD2DE |