| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/model/__pycache__/__init__.cpython-36.pyc |
| FileSize | 2140 |
| MD5 | BC9CEC4ED54E5348A5BADA301EC83A49 |
| SHA-1 | 0027D9B546C1E0847EA5A21CEE8D13F1299D3324 |
| SHA-256 | BA8C3795937A14D8B5CC154E31A7805681D0AB26BE6B4C5C1DD65A45CB7CF082 |
| SSDEEP | 48:wl/A1bViyZbi812PExIl7ore9CDKkqlBaQIliQBOr/:wl/a528E8xAN8DOlBpICr/ |
| TLSH | T133417684C0138D25FEEDF7F5E16A4334CAFD82621BA974832568451C9F063E1789959F |
| 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 |