Result for DAC407B769E7BD547F8A68064D2B63D4FB78AF47

Query result

Key	Value
FileName	./usr/lib/python3.8/site-packages/pykdtree/__pycache__/__init__.cpython-38.pyc
FileSize	144
MD5	85F2DE38AB0FB8408AC58AF3C77279E5
SHA-1	DAC407B769E7BD547F8A68064D2B63D4FB78AF47
SHA-256	BCF2CDFAF81990014092652C1DC1D963C6EBE4450861B41E66D34704384E1BDD
SSDEEP	3:UtEdL/luleh/wZWemE9YAKWMmoWrziRQHRkcTit:cEPqeh/wSE9YvLorVD6
TLSH	T177C092009A598292F96EFD366520572814C5DEA0A28F99933F08A6C95C597690D26844
hashlookup:parent-total	2
hashlookup:trust	60

Network graph view

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	2DCD7661B614664DB5FC5A2C5409E553
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.mga8
PackageVersion	1.3.4
SHA-1	ADBB18D677C87F4CA94E2A951081D1262F6DD536
SHA-256	59F1A0F17236EAC11CF469E922461CC35A2ACAD7E7D904C1E6E411B669A8A623

Key	Value
MD5	CED81CECF20125FF7A49BE4390B13C1F
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.mga8
PackageVersion	1.3.4
SHA-1	C15AB0ECD13784A212B502708B269D2E9597FD30
SHA-256	2FB3EB279F3BCF1F61E83D028202C487AB652147F4009FADCB1C807E98071786