Result for 5B731B814EF52D31395CE2C45D6AB86098CD5DAC

Query result

Key Value
FileName./usr/lib/python3.10/site-packages/__pycache__/fastcluster.cpython-310.opt-1.pyc
FileSize18048
MD51304EADBB4F85CB9D594046F2AC054AA
SHA-15B731B814EF52D31395CE2C45D6AB86098CD5DAC
SHA-256B39D6CC66D879BE981492DD1FF15BBD3E8F458654C6EC5529214E47B2A75ADA8
SSDEEP384:o0ANOv2H7g4UxelR3ja7riK8zDiEA4X7Dudga7vP4U6YY3AwR/Oa:oXNOv2H73UxelR3ja7GDlA4X7ydga7vm
TLSHT12B82F8226B440377F9B2F0F5BC8EA7C64B19E5AA5333688A386D01C4570B864D77B6DC
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