Result for ABF8547BD7526A269A7371DD0E74D49D97CBF8D7

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/pykdtree/__pycache__/test_tree.cpython-38.opt-1.pyc
FileSize10659
MD5F7E9396E5CFC6B224D466B4C3EC3D2A0
SHA-1ABF8547BD7526A269A7371DD0E74D49D97CBF8D7
SHA-256985B57BDD60DD3B99BE13304A43FB8EAF0CC59FDEC883EA4E6B37BAE4E11E9DC
SSDEEP192:TJmW/UJZ1MWhHCEsngml6psWtfj0qf1VRDCaHFDF73VYycU52z3:l0ZXHCXyL0GH3lYyR5C3
TLSHT13622A5E1B8C24ECBF9AAF37CD03B05256269A327ABC7E4365E34509AC94CE407DA441D
hashlookup:parent-total2
hashlookup:trust60

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
MD52DCD7661B614664DB5FC5A2C5409E553
PackageArchi586
PackageDescriptionPykdtree 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.
PackageMaintainereatdirt <eatdirt>
PackageNamepython3-pykdtree
PackageRelease1.mga8
PackageVersion1.3.4
SHA-1ADBB18D677C87F4CA94E2A951081D1262F6DD536
SHA-25659F1A0F17236EAC11CF469E922461CC35A2ACAD7E7D904C1E6E411B669A8A623
Key Value
MD5CED81CECF20125FF7A49BE4390B13C1F
PackageArcharmv7hl
PackageDescriptionPykdtree 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.
PackageMaintainereatdirt <eatdirt>
PackageNamepython3-pykdtree
PackageRelease1.mga8
PackageVersion1.3.4
SHA-1C15AB0ECD13784A212B502708B269D2E9597FD30
SHA-2562FB3EB279F3BCF1F61E83D028202C487AB652147F4009FADCB1C807E98071786