Result for 0050812F84C1F56C34EB4DE4C5D6EB294E68EB73

Query result

Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/_loss/__pycache__/glm_distribution.cpython-39.pyc
FileSize10641
MD5239B8400D5F3CD0BE520C685333C8FFC
SHA-10050812F84C1F56C34EB4DE4C5D6EB294E68EB73
SHA-2567A875A43DD30544202DC37E92691CBD73442B86FA1905D774C947B6D0CFB2C9B
SSDEEP192:q4MUHxWKVyRzNWBdVeev/K/327N5pXyFjrSQro4Ti/5Z:q4pfyT28r9ro4TiRZ
TLSHT15A2295B0AF929E7AF49BF2B584EA13139D30002F63D1B22631DCD0966F1E17615BE785
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 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
Key Value
MD51898B04A44B8E0E2A43310587004329C
PackageArchx86_64
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-1CE038E81020DAD51C78AF449B9A87C18A89F2D79
SHA-256DCC913FFE4A680F1353C9D333242DF4B1E80680A4C61BB1710A9C0D0FCE4D073