Result for BA1588088F69610B3BB0E89B82913FB2DDC490A8

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/__pycache__/fastcluster.cpython-38.opt-1.pyc
FileSize18032
MD5C4044322E4D9DC49147033368B7A7C0D
SHA-1BA1588088F69610B3BB0E89B82913FB2DDC490A8
SHA-256C72FFB75DF0C5635CF2EA493D7C63E25B8159511DF2087CE8C71AB9B0FD22CB9
SSDEEP384:jN0ANOv2+7gEpw2UzEv7riK8zDiEA4zxDTFa7vP4U6YY3AwR/oW:hXNOv2+7ppw2UzEv7GDlA4zxPFa7vwUW
TLSHT18282E8626B400377F972F0F1BC8E67C65B19E5AA5333688A385D0084570B968D77B7DC
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
MD5323A812256F132C424325AD64C38A87D
PackageArchi586
PackageDescriptionThis library provides Python functions for hierarchical clustering. It generates hierarchical clusters from distance matrices or from vector data. Part of this module is intended to replace the functions linkage, single, complete, average, weighted, centroid, median, ward in the module scipy.cluster.hierarchy with the same functionality but much faster algorithms. Moreover, the function 'linkage_vector' provides memory-efficient clustering for vector data. The interface is very similar to MATLAB's Statistics Toolbox API to make code easier to port from MATLAB to Python/Numpy. The core implementation of this library is in C++ for efficiency.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython38-fastcluster
PackageRelease1.4
PackageVersion1.2.0
SHA-1119218DE7262DBE1962973E892819C553D27D23A
SHA-2568335A4792C157F9F65FAA0A49A267B77E2198654BAE74760791E3B53A6EE3156