| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.9/site-packages/onnx/backend/test/case/node/__pycache__/reducesum.cpython-39.pyc |
| FileSize | 4163 |
| MD5 | CBD9B3D6BF6384FF11462D352E7150F5 |
| SHA-1 | 009D83F6A102998356CF4DD32AA1E869FD50E787 |
| SHA-256 | 77CC8721E8BCF78CFE3D71DC03668758A93970BA3378CB7857419A07E7F5B4DF |
| SSDEEP | 96:gejlUtRsdHSIGO5kQKPPT4kr0qEOZS9iOHuqhP:g2l6sdHSIn5CT43qEgbOHHx |
| TLSH | T11F81858D84209E3FFE02F9BE52FF01D59E72D52E17635927A6C0622AAD091652F7920C |
| 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 | 03B3DE1C8DD9B1C60845B06DEA6E0543 |
| 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. |
| PackageMaintainer | https://bugs.opensuse.org |
| PackageName | python39-onnx |
| PackageRelease | 1.10 |
| PackageVersion | 1.8.1 |
| SHA-1 | 69284B69A2A5BF779B7816D37C888F763316D699 |
| SHA-256 | 99CE7A471821D4A9D58333AD13D0ECB3ABE44D21F23ED73FCDBA8A3746B6F02F |