Result for C0DEE542BBCE13AB3666AFADC53F6E12AC887BA1

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/__pycache__/fastcluster.cpython-310.opt-1.pyc
FileSize18050
MD59C848BE503705C100364EEF4C808BA0A
SHA-1C0DEE542BBCE13AB3666AFADC53F6E12AC887BA1
SHA-256CF7D527915D5B1A2371D2916D1D4BC7AAD5818023A89A8D05AB6FCAC34E5A2BD
SSDEEP384:o0ANOv2H7gcUxelR3ja7riK8zDiEA4X7Dudga7vP4U6YY3AwR/Oa:oXNOv2H7fUxelR3ja7GDlA4X7ydga7vm
TLSHT11982F8226B440377F9B2F0F1BC8EA7C64B19E5AA5333688A386D00C4570B864D77B6DC
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
MD57E0C4BB9E02782F7530717BBFAF680C2
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.
PackageMaintainerhttps://bugs.opensuse.org
PackageNamepython310-fastcluster
PackageRelease1.4
PackageVersion1.2.0
SHA-1716ADA128D73F05A294C95C1B394A52B16EC41A9
SHA-2567465188932A366D8DE7AA2E0CDDA74901536633527656BD6056F9EF1258725EA