| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/cast.cpython-36.pyc |
| FileSize | 2595 |
| MD5 | 768F7A8535F15A20CE8FA2002CFAF547 |
| SHA-1 | 006F08AE729DC9A61F0F4FC102A9912549B05C55 |
| SHA-256 | 9122503B2E285B3C8FDC0AE04CB6E48D177061A211747D049589DBB3A8BE83AB |
| SSDEEP | 48:xJJh17FDxYMJC0XthHtt6NSe2aUmTKlTH9up7xc5zB+otAaKLcHp3E+i:lNxDJHdh0H2a7T+TcVxc5UIKcOT |
| TLSH | T15D51E7A44106B977F353F6FCE0E802D484947290B3C8FA52AF684A16BC063E2163275C |
| 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 | 58477028865FBC5CFF586C80B10047AF |
| 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 | lp152.2.98 |
| PackageVersion | 1.8.1 |
| SHA-1 | 6DF7EBA43B586B95199776B5F9004A59181F686C |
| SHA-256 | B6FFB6FB78AAE389339AB0BECE909E22DDD0CC5A3FCA6BBA4D902F15D86BF72E |