Result for A5966EA76534AA0E5419BF610D7DDB302E8C4682

Query result

Key Value
FileName./usr/lib64/python3.8/site-packages/__pycache__/fastcluster.cpython-38.opt-1.pyc
FileSize18034
MD5679E9AA3DBC5408E7BD107B78B62038D
SHA-1A5966EA76534AA0E5419BF610D7DDB302E8C4682
SHA-2565F6A241E7CCCE53DDF87B5F2D287972C48E6964FF4D462DB38D92683FD65F8D0
SSDEEP384:jN0ANOv2+7gwpw2UzEv7riK8zDiEA4zxDTFa7vP4U6YY3AwR/oW:hXNOv2+7Jpw2UzEv7GDlA4zxPFa7vwUW
TLSHT15082E8626B400377F972F0F1BC8E67C65B19E5AA5333688A385D0084570B968D77B7DC
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
MD5FCE3FA280F3C20C7F5E7C9B37C71299E
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
PackageNamepython38-fastcluster
PackageRelease1.4
PackageVersion1.2.0
SHA-18FF3F80BE29AEF5B245EAAA475B54674F56FEC01
SHA-256BA744189CB15280D624983DE3792B7A63AB08122948838EC8AD47C81A3507E4A
Key Value
MD5713F6ED7278225FF5767A0DD9AF407F8
PackageArchs390x
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.
PackageNamepython38-fastcluster
PackageRelease14.16
PackageVersion1.2.0
SHA-130B1C5AE27662B05DF3485C3ACC8D4E4AD2448CC
SHA-256CF527085ED8D380496D0B81D09DC39D634CE515F65636878A1527EE2FF10FAAF