| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/reduceprod.cpython-36.pyc |
| FileSize | 3600 |
| MD5 | CF3AF740541ACA712C5198CD8900441C |
| SHA-1 | 013F21C8CC551C0EC49DC9838515381FFA332670 |
| SHA-256 | A1C594460A6E59AE9B7D04818EA5897A6FF83B992BE017B1BC08AD111B6B8F02 |
| SSDEEP | 48:nD19ePHpb04Jh70BxkfK1qiFTLA4kwWj5EXPkz0hDF0Khq/q13kBbksEQhYI:n/Jdto4y50h55aRXEKP |
| TLSH | T147713158D5014F3AFE54FDB781FE00D59A69E92E1FD15C27B780A293EE0A3201E2932D |
| 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 | 13C61005D2778FD8E7078F1BE6D0F65D |
| 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 | lp153.2.1 |
| PackageVersion | 1.10.2 |
| SHA-1 | 6CB7F8CBC680CC5BF6E9673DA994D5D31AC86063 |
| SHA-256 | 9E402DCB2EC071A33D845F10971962D537A558D770ADB8A3A018F4827E2BBC94 |