Result for 65DC9DE4A233798CC64723560A011034563DF557

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Key Value
FileName./usr/lib/python3.10/site-packages/pykdtree/__pycache__/test_tree.cpython-310.pyc
FileSize12025
MD57403A66D1D1AABBE821311BFAC02A389
SHA-165DC9DE4A233798CC64723560A011034563DF557
SHA-256208C1F80898F8C61EB2C9B4BC13849147E02FA1321A5AE9820ED3223BD32F7ED
SSDEEP192:jqYlZjWiHOwInAKBcnu6tgGuAZDw2ooIx2g8O16DqKqikIagTWs+1ylmyNyjOulc:jlZjWiHOT+lu6DgZTwGnV+aPyNpMw3gW
TLSHT13A42A5E5A4821F47FC55F3BCE8163C2523D8D5EFEB5FC4122924AC9A088EC4E2F65581
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
MD5823B9153725C050C3EC1CFCB6925087C
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.
PackageMaintainerumeabot <umeabot>
PackageNamepython3-pykdtree
PackageRelease4.mga9
PackageVersion1.3.4
SHA-1CD716BF017C6393D4C32140AD0BD46DFB0A7B10D
SHA-256948EACC0B8FE87361F3ACFC5DE0CA5C1012CADB76089D04A2E2355B8541B388D
Key Value
MD5186A80D81B8F5B38DD34410E18460B24
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.
PackageMaintainerumeabot <umeabot>
PackageNamepython3-pykdtree
PackageRelease4.mga9
PackageVersion1.3.4
SHA-137930A94E2D585D801587DCB591869942F2E61BD
SHA-25651939D6CEBA33A701AED1E23B352771F456B44CB4F19C157D7A7217F41D7DE92





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