| Key | Value |
|---|---|
| FileName | ./usr/lib64/python3.6/site-packages/onnx/backend/test/case/node/__pycache__/floor.cpython-36.pyc |
| FileSize | 1125 |
| MD5 | 7FFBCA9B3EB5D735F5529D6E22245E02 |
| SHA-1 | 00E2116D7545FAB0F3CC04C15E9A763AAC408E8A |
| SHA-256 | 23946ADFC4EFA82DD9718CA543A69B82E3C35CF18FA2A88F66B7450CE63E7D19 |
| SSDEEP | 24:teFDz1uGv1UYByHZsZHMe4fzmlHkhZ4XJitMBs/WKn5+GD7QlsPOWIYI:oD1BbH6m6cPBMn5XCsPyYI |
| TLSH | T1FB214FC1D2829BB6FE14F0B9D0DE4026D6B2E11E6BC8AE133B458A2A2D052E52810B4D |
| 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 |