| Key | Value |
|---|---|
| FileName | ./usr/lib/python3.8/site-packages/onnx/backend/test/case/node/__pycache__/maxpool.cpython-38.pyc |
| FileSize | 10988 |
| MD5 | E698D868D36A44166A50B796C5559946 |
| SHA-1 | 00F3C85E7AE53A605F356398255551B5CC6605D5 |
| SHA-256 | 38C916D809A0F5AED15F7A5665087EE203C7AE03026B5F48C4C1CB8C03850C86 |
| SSDEEP | 192:P/86wbL0d2+9JfB1pg/5DPc+BwTJ0KAa3sADL51DyFl6INtBH7hAWe87:M6wbL0d/9JfBotxBwd9AacAR1DKl6eBB |
| TLSH | T14A3253C344452D1FFC93F0F726B50D53AA50D15A1F9299B2BE0E86ABEB4E5C20A3464F |
| 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 | 4968FBDE3FAADCE4D785DB8019E3BA23 |
| PackageArch | i586 |
| 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 | python38-onnx |
| PackageRelease | 1.10 |
| PackageVersion | 1.8.1 |
| SHA-1 | 527D2BF4F7F9FAEF88C1F4F157FFCEF52875A0AE |
| SHA-256 | B161199B6B4B874CC5564379D12DE2FC460B2F57BF6BD0300BC4B381C8D56112 |