Result for 00D033BC63ACA828F9F7CDCF06AB938FAD0BC8EE

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/preprocessing/_csr_polynomial_expansion.cpython-39-aarch64-linux-gnu.so
FileSize216128
MD543885AFCB60006338EFC9E943344AD79
SHA-100D033BC63ACA828F9F7CDCF06AB938FAD0BC8EE
SHA-2569C57FB4E499C8235B6A734A7E3D1E2DE03AD7D692BEA9BA94EC0BC2E76F3A69D
SSDEEP3072:P/1tVOR/4l9XlamDW2zUi5iqEt342Fv+q4DC5w31q/L59+:7VOR/YlamDW2zdlmH2P25wlSVM
TLSHT160246BBCF70F3D91CA4663399F4942327633648CD399D6E35944E29D73C7ADA8A39802
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
MD55D2FA29F4130E7CB26587869667DC626
PackageArchaarch64
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.fc34
PackageVersion0.24.0
SHA-116117A1C32207A75416BCA6E566022AC75AB7041
SHA-25696172BEAA1E188FD4892ADB24832977D4FE36C626DD2D66EB4C923D361BC7AC0