Result for A389FA955F995158720FE886DE6E9256394F15BD

Query result

Key Value
FileName./usr/lib64/python2.7/site-packages/_fastcluster.so
FileSize60008
MD5C41CF41D15F833E5F61F9D54E488C710
SHA-1A389FA955F995158720FE886DE6E9256394F15BD
SHA-2562FFC81383D8BAEF625422C8274FB5067E5EEFBEDD6DEF77481BA8CC97EEF6A89
SSDEEP1536:hYTD2cWCNmM2zKn6BP7VAljtENxXpyAUM1Z:hYEu7ak+PyCE
TLSHT172433946A542683DE093913053EA79F3D2617D7862713A3E7A806E3C1E7FDE0891A727
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
MD5DF7063E25F99C7DC09A6BA68D6ECEB34
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.
PackageNamepython2-fastcluster
PackageRelease2.1
PackageVersion1.1.28
SHA-150968AADA83F3A2B698F1204E4BF3D69DA81706D
SHA-2569AF68DF9E18BB4D5EBB6A6C45ECAF6CED7889B1D0D748F49C32CEBA5AB551EA6