Result for 00FCDF6FA3B936A0D13C91FE0C06CA69D37300A9

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/caffe2/python/onnx/tests/__pycache__/__init__.cpython-310.pyc
FileSize322
MD50C2D9A2F07A9058FEB6A6452CE9A977E
SHA-100FCDF6FA3B936A0D13C91FE0C06CA69D37300A9
SHA-2567BAC0782F01934C6533E8ECBA9E80A284049F5FF2478B6329C15CE9565E47982
SSDEEP6:ZE0TulmSI88aebujiR3P11JW3OOO/HlQ9KTWgMrze1MocDv:60TulmSubujiv1J2OtQ9AWgIxBDv
TLSHT1B4E0E745735953BBF5A8F1F0C1344275C4F4B151F255110B368C039C4C017B00C139E4
hashlookup:parent-total1
hashlookup:trust55

Network graph view

Parents (Total: 1)

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
MD5B94C0471341A786C52100C671FA95ADE
PackageArchx86_64
PackageDescriptionPyTorch enables fast, flexible experimentation and efficient production through a hybrid front-end, distributed training, and ecosystem of tools and libraries. The library is developed by Facebook and other groups. PyTorch provides two high-level features: * Tensor computing (like NumPy) with strong acceleration via graphics * processing units (GPU) Deep neural networks built on a tape-based autodiff system
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython310-torch
PackageRelease6.3
PackageVersion1.5.1
SHA-14D770A48B4DB8D46F1832A503EFF02FC030554EA
SHA-256FF35AB6FDB0ED98084136DE9F07B775E94CAF53FAB000A73F630EF1552713A34