Result for C75EC39B2D4E9067C23520E39925669F0B922CA2

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/__pycache__/fastcluster.cpython-310.pyc
FileSize18048
MD52109211F6CCF2FC566641D9E984E1DA5
SHA-1C75EC39B2D4E9067C23520E39925669F0B922CA2
SHA-256283A7C7B8561F97363415F39D1D928A3108A18113126A0AF3640C91C87A3029D
SSDEEP384:o0ANOv2H7g4UxelR3ja7riK8zDiEA4XGDFdga7vP4U6YY3AwR/f+:oXNOv2H73UxelR3ja7GDlA4XG5dga7vt
TLSHT1B282F82267440377F9B2F0F5BC8EA7C64B19E5AA5333688A385D00C4570B964D77BADC
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
MD51DB3B9113897640D7D8BCA252EA13107
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
PackageNamepython310-fastcluster
PackageRelease1.4
PackageVersion1.2.0
SHA-12AB38512ABC7CC8BC29C562A09E330F4E70081A9
SHA-256220DD8723CF89DB15A8C1BDA1EFFA7F51B436862E8C0B7ED9A8AE81AA55EF8DC