Result for 3F2C7F2C074024884EC7C31520800A6F2B1178ED

Query result

Key	Value
FileName	./usr/lib64/python3.10/site-packages/pykdtree/__pycache__/__init__.cpython-310.pyc
FileSize	149
MD5	AE5E9C149B248B0567F5C159288C395F
SHA-1	3F2C7F2C074024884EC7C31520800A6F2B1178ED
SHA-256	F95D92DFA1AF4D51CCCFF62F7930CA3C9C960B954B1C4EEC9F67E4D7B83DF64F
SSDEEP	3:y/fcluleh/wZWekXPNEgLdWrziRQHRkcTgp:y/sqeh/wmWgMrVD4
TLSH	T176C0924086269293F82DBEB2B126972425D4CAA5B38FA6C32E09464E1E097A40C23444
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	952EE145C3CCDB41ED77863EA64BC0B1
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	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga9
PackageVersion	1.3.5
SHA-1	4C702DFED71B967F000D97055A47202B11C0854D
SHA-256	B09043E5A8441D59E21533634C90E9759FF815D8C3E00749BE98B2FCEE58DB3F

Key	Value
MD5	48876186CB29782E62AEA66F9027595C
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	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga9
PackageVersion	1.3.5
SHA-1	C6CE33B8BE34651B0A16018C924B8C1DC3F6CFB0
SHA-256	572AC97A675864F289A89BFCDB59B0FF2C1B7B062D64BAF65FCDD9CDED3EC94E