Result for 004710C639FABF36C8BD53E85B9236AC9CABE1CB

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/sklearn/preprocessing/__pycache__/data.cpython-38.pyc
FileSize627
MD5AD97C69E70B848D148B668B3EBC19A25
SHA-1004710C639FABF36C8BD53E85B9236AC9CABE1CB
SHA-256F1420A1C969CA084DDBC61817FAD34FC66D74616597F3375FCAE3051763B7C46
SSDEEP12:cCaK2ZILsS/YJ5lZpP6PhnHA20SKTwDWeyroqQBlk6MRcsc3VDn:cC8Wst3ZpP6Phnw5TwDWea0a6Aqh
TLSHT1A1F00CA2274D2B32EEA1B2F920110A2147F00E7263088203BF28CD0F7A862C50108B6E
hashlookup:parent-total1
hashlookup:trust55

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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
MD5E792E5D6D39E3A15CC843693E91BC76B
PackageArcharmv7hl
PackageDescription Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts.
PackageMaintainerFedora Project
PackageNamepython3-scikit-learn
PackageRelease2.fc32
PackageVersion0.22.1
SHA-1F83CFCCAD333126AEBC7CBD1D680322CFF6C40CA
SHA-256A9ADCAC6402F3242E6803C3B3D5446413A23AE4D573920779B720BB312C7437E