Result for 22F562237A83D992CB7D54191D0FB4130E0956BF

Query result

Key	Value
FileName	./usr/lib64/python3.10/site-packages/pykdtree/__pycache__/__init__.cpython-310.pyc
FileSize	149
MD5	480EDA6C1E6178097A5CB77C3A2D636F
SHA-1	22F562237A83D992CB7D54191D0FB4130E0956BF
SHA-256	3403097F5D52ECE784961D8A609B92F51CF016356DB28B7403F7696AC9B8B4B5
SSDEEP	3:y/EdL/luleh/wZWekXPNEgLdWrziRQHRkcTgp:y/EPqeh/wmWgMrVD4
TLSH	T147C0924486299293F86DBEB67525672429D4CAA5A38BAAC32E08468E1D09B680C23444
hashlookup:parent-total	2
hashlookup:trust	60

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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
MD5	472A2FE314602D5DE549220B114CD44D
PackageArch	aarch64
PackageDescription	Pykdtree is a kd-tree implementation for fast nearest neighbour search in Python. The aim is to be the fastest implementation around for common use cases (low dimensions and low number of neighbours) for both tree construction and queries. Queries are optionally multithreaded using OpenMP.
PackageMaintainer	umeabot <umeabot>
PackageName	python3-pykdtree
PackageRelease	4.mga9
PackageVersion	1.3.4
SHA-1	CDD28DDDCD6AF2F9922B122029110AC5680C4588
SHA-256	4DA24A161149C4433F4FAC8E4D5CF382ACBBCA674A8B6927CE478940EDC1863F

Key	Value
MD5	2186E893B156DD1F07934619F443D318
PackageArch	x86_64
PackageDescription	Pykdtree is a kd-tree implementation for fast nearest neighbour search in Python. The aim is to be the fastest implementation around for common use cases (low dimensions and low number of neighbours) for both tree construction and queries. Queries are optionally multithreaded using OpenMP.
PackageMaintainer	umeabot <umeabot>
PackageName	python3-pykdtree
PackageRelease	4.mga9
PackageVersion	1.3.4
SHA-1	DED13D136C96BE7B16F2045C0038A7D228DB32A7
SHA-256	AC65E898D6EBA2BFE2603F39F0AC3F48094E32211497B6627D59A7D2353F59AC