Result for 000E1A55C840D7B3818291802DBF1783AAAD7844

Query result

Key Value
FileName./usr/lib/python3.9/site-packages/__pycache__/fastcluster.cpython-39.opt-1.pyc
FileSize18042
MD5C250791A6644BC7AF410D0640512B1E8
SHA-1000E1A55C840D7B3818291802DBF1783AAAD7844
SHA-256A571ECAA91995EEAA113EE5F57A922C0C4FC63CFDDA23A8E372D634EEA4D029B
SSDEEP384:H0ANOv2Y7gBUuHI42xa7riK8zDiEA4zgDJa7vP4U6YY3AwR/oj:HXNOv2Y7sUuHI42xa7GDlA4zg1a7vwUz
TLSHT1C982F7622B440377F9B2F0F1BC8EA7C65B19E5EA5333688A385D0084570B964D77BADC
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
MD568BC2D7F4F08461EEE4DE0E9EC9E11CA
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
PackageNamepython39-fastcluster
PackageRelease1.4
PackageVersion1.2.0
SHA-1346F602AEE3E170EC991498755B3BF552DBA12CC
SHA-2560B7FA87BBDFD0F655FD2E5292ABA650F4FAC9541BBBDDC5116F085A09DA1950A