Result for 36E29F3875DBCC6F547D4989A7F2F9F1EE03CB02

Query result

Key Value
FileName./usr/lib64/python3.6/site-packages/fastcluster-1.2.0-py3.6.egg-info/PKG-INFO
FileSize3950
MD55884666585179F4BD22414EAAC462F27
SHA-136E29F3875DBCC6F547D4989A7F2F9F1EE03CB02
SHA-25656D1005C7A84FCA9A5D10AAED0E8129595767E8BA89A67B0856950D66AECEC72
SSDEEP96:D7HznRZiIbXoHkKE+OfflqESIvIdDqWCQIFgLN:/R4O+BFpLN
TLSHT17081B8AF22C098719F41FA816D1A46FDDA1641A3868A2595B46C02087F53FB7B3FD378
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
MD5F79FF3DF640B7D513923D26F769C3591
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.
PackageNamepython3-fastcluster
PackageRelease2.1
PackageVersion1.2.0
SHA-1BE625F429969E7B54C301DD2AA48B8D5D469D075
SHA-256DA6742E21CB1FCAD8FF60CA530E9BAB1D78446C6A4B02F212611AA4123A48BA9