Result for F3852A0EC2085919CF317FB035BA4C6DCFEFA338

Query result

Key	Value
FileName	./usr/lib/python3.10/site-packages/pykdtree/__pycache__/__init__.cpython-310.pyc
FileSize	147
MD5	F5461EF56A592D1E2112A4FD27DB6CEA
SHA-1	F3852A0EC2085919CF317FB035BA4C6DCFEFA338
SHA-256	1BC9F6D8A38AB9DB1A267CB42C698D340641ECD2F76D9B34EA104CE8D3C2623B
SSDEEP	3:y/fcluleh/wZWe/JG9YJgLdWrziRQHRkcTgp:y/sqeh/wtG9YJgMrVD4
TLSH	T144C09240862A8293F92EFE32B126972421D4CAA6A38FA5C33E09568A1E597940C77444
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	0077145C571DC5E095A56EC3C0D0A6E1
PackageArch	i586
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	2BC19027B116EB8DD05D9021028DFF21773BB2C2
SHA-256	05C7CC7D585BD0AC221BA8596EAFD0113DD582BA59DCA8592445E4DB72AE3405

Key	Value
MD5	E77393F4CD145ED5DB9C99734B074EFB
PackageArch	armv7hl
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	0433E384DC2612320AAE15EFBFED87603A9564BF
SHA-256	217D58EDF7E231FB97F2C0BCD45D4509DB6A4EAF703FC68F3A4FE009A33C916B