Result for 9AEF9A4DDC2EE0ACE6306CB7887746A7D9606ECE

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/__pycache__/fastcluster.cpython-38.opt-1.pyc
FileSize18032
MD5AE50B34B3BCD25D00E5CBC8465F2B96A
SHA-19AEF9A4DDC2EE0ACE6306CB7887746A7D9606ECE
SHA-2564455BA92D53B9A54C011F0EFA3DE595968AA3CA2B94F779E3A0944F1AFFA4CE2
SSDEEP384:eN0ANOv2i7gEpw2UzEv7riK8zDiEA4zxDTFa7vP4U6YY3AwR/oW:sXNOv2i7ppw2UzEv7GDlA4zxPFa7vwUW
TLSHT1D082E8626B400377F972F0F1BC8E67C65B19E5AA5333688A385D0084570B968D77B7DC
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
MD53E8B6F033610E0094E8E143E2C65E9D3
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.
PackageNamepython38-fastcluster
PackageRelease15.1
PackageVersion1.2.4
SHA-1F9488374C999FBEB703BDD82C0F313F7076402B9
SHA-256D83F9F1F48959A8DB47BE39421E269E78DD52C63FF8725D7CEB58FC8779A1B1C
Key Value
MD5420A43F56A495DFD4EB8C294C2DFCF73
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.
PackageNamepython38-fastcluster
PackageRelease15.2
PackageVersion1.2.4
SHA-1266B84E4890DF050B3ED0200E988790CB8DE2FFD
SHA-2562C5A19AF29FFB9744BBD23E5BBF258CBAA956F56A7B962BD6E3FDBB16311AD6B