Result for D5CDE804AA2778172B3A0A4C7253201B2127A0C9

Query result

Key Value
FileName./usr/lib/python3.8/site-packages/pykdtree/__pycache__/test_tree.cpython-38.pyc
FileSize12417
MD526CAC7D691AA13F614686DA35D93957B
SHA-1D5CDE804AA2778172B3A0A4C7253201B2127A0C9
SHA-256C0CC687074D2FA2B217210CD96D8DB548454F5B5CC92DBBC0F2D4AF640ADEC24
SSDEEP192:TJmW/UJZ1MWhHCEsngml6psWtSIVghP6Uq7VTD2IKfyumUtopSsOVLI8kH:l0ZXHCXySOghP6UqddKKudowjq
TLSHT1C042D8E1E8815FCBF9AEF7B8D0370525136492A75BC7F0326D2090CACA5DD487DA451D
hashlookup:parent-total2
hashlookup:trust60

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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
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