Result for 6D8B5EFC49CCE95C87D2F657EC3F068AF47BC3E9

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/__pycache__/fastcluster.cpython-310.opt-1.pyc
FileSize18048
MD5A22F35227F2149C3FC9C8ACF40AC1833
SHA-16D8B5EFC49CCE95C87D2F657EC3F068AF47BC3E9
SHA-256E40D08151319840242FB1C7E99E724DB0B28AFAE093717C8B18ACEC9B29C135A
SSDEEP384:90ANOv277g4UxelR3ja7riK8zDiEA4X7Dudga7vP4U6YY3AwR/Oa:9XNOv2773UxelR3ja7GDlA4X7ydga7vm
TLSHT15782F8222B440377F9B2F0F1BC8EA7C64B19E5AA5333688A386D00C4570B864D77B6DC
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5BA7890ADB6AE711A6688882627E88676
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.
PackageNamepython310-fastcluster
PackageRelease15.2
PackageVersion1.2.4
SHA-105257C0533F68466BD1E58BF124B117B58238B62
SHA-256340C7936E0D59219000737DE1E8E4DE7C00DF322315BADA40147596BF63EDA62
Key Value
MD5474205952A4050EB000CD90044668B5B
PackageArcharmv7hl
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.
PackageNamepython310-fastcluster
PackageRelease15.1
PackageVersion1.2.4
SHA-1F80C2BEFD535399EF3ECE558E877624B0AC8A0ED
SHA-256979EA619DA86CAA3CE94176F6EAA84A055A6C3B1DF05BE2363A556E9FDDC2E32