Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/skimage/util/tests/__pycache__/test_random_noise.cpython-36.opt-1.pyc |
FileSize | 6541 |
MD5 | D42E38772B73FC3BC246E3F4D293CCC8 |
SHA-1 | 0210B417C8092955D4FBBC49FBED951E3E0B67CA |
SHA-256 | 54B440540F2E32EE9DC51AF5D971D63892DFDDE23811C4919F4F0346D901254C |
SSDEEP | 192:/nW6E7OBV8qcKaJA+Rq5Kitku0OuOI+zqdRZm+/qoqqf:/n5EaBV8qcKaJfRq5RfisqdRZXqoqqf |
TLSH | T1D9D183846C455F6AF8B9F0FD80BA0310232FE6512642E7136914D27A7F698C40CB3667 |
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 | F21067F503193F988345282AC2D845F0 |
PackageArch | x86_64 |
PackageDescription | Scikit-image is a collection of algorithms for image processing in Python. It is available free of charge and free of restriction. |
PackageName | python3-scikit-image |
PackageRelease | lp150.4.6 |
PackageVersion | 0.15.0 |
SHA-1 | 32CE584E084DC1DAAD76B4C9A75E43B14F9736E2 |
SHA-256 | 5890C1870B2C37D990CE9A45FB10EF39E6313F0854CF3ED51F1F6CE30243251B |