Result for 9AD3881E14D4ABF80CE3CC1EF9D49AE48CC68D63

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/_fastcluster.cpython-38-x86_64-linux-gnu.so
FileSize60232
MD5752E5A5FF56F6A6C7C0EBA8A3DD417E8
SHA-19AD3881E14D4ABF80CE3CC1EF9D49AE48CC68D63
SHA-256F6F02FFA41F1B5DE69696BA88F1B6BF77C131287949E896FA536C1860B266390
SSDEEP768:H/5DzzHDcdxza1oTFmDTNU/B8lzufP5tXQGnQrxTH32JS7qKrHrTJj9MC:H/JzLDcdxvF2xQilifx7nuHwp+Tb
TLSHT164432807F551987DC0A2A07053F7B1E3E150B43909B93A3B3D856B3D0EB6ED46A5AB23
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
MD5FCE3FA280F3C20C7F5E7C9B37C71299E
PackageArchx86_64
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-18FF3F80BE29AEF5B245EAAA475B54674F56FEC01
SHA-256BA744189CB15280D624983DE3792B7A63AB08122948838EC8AD47C81A3507E4A