| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/flatten.cpython-36.pyc |
| FileSize | 2253 |
| MD5 | B46C13A44CD8896DCF1D981ABB736168 |
| SHA-1 | 00C234E3C9D19278B2E2ADC1E4FD71C71F4E7722 |
| SHA-256 | 3BE5754CB00B980DB24B1B858889274E9603F35B013A145742F095955C3AC829 |
| SSDEEP | 48:oD1JJP4jMF3jGQ39BCU7DCGlpy5+jb1lS+nGc4zAtGrhYI:orBaMFTJScGG3y+plS+8zAtohP |
| TLSH | T1084165E2658ADEB5FD2AF5BCC3FF48C6546061E503C2B9166F4881592B8E1E01211F0F |
| 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 |