Result for 90F5A3D9F9027FBD9F83430DE89759DEFC305E03

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/__pycache__/fastcluster.cpython-38.pyc
FileSize18032
MD5E00A5E2E8F5AFE6363F2662841AC89F0
SHA-190F5A3D9F9027FBD9F83430DE89759DEFC305E03
SHA-256ACDD541CA327980C8EA29C24E665BACCD1E2D7D81EDA62AA735854C3C8FD5BF5
SSDEEP384:jN0ANOv2+7gEpw2UzEv7riK8zDiEA4zxDTFa7vP4U6YY3AwR/o/:hXNOv2+7ppw2UzEv7GDlA4zxPFa7vwU/
TLSHT11782F8622B440377F972F0F1BC8E67C65719E5AA5333688A385D0084570B968D77BBDC
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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