Result for 0024E98D4F80A0A954A17905BF9A06B17533A146

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Key Value
FileName./usr/lib64/python3.10/site-packages/pykdtree/__pycache__/test_tree.cpython-310.opt-1.pyc
FileSize10356
MD5C6276E92BF643A9E52E6F87848953B95
SHA-10024E98D4F80A0A954A17905BF9A06B17533A146
SHA-256217867E4E9EB111F7AE7F8262F113C58F5F52BEA0CA2029367F18EC264C21DEF
SSDEEP192:jqYlZjWiHOwInAKBcnu6tfjinpk2v42At11eDi2r7igHtT7NPbSo/RVhptl+/q5:jlZjWiHOT+LKKQ7DLnhnlx5
TLSHT1C02272D658924B47FC90F3BCE8263C3523D1DAAFEF5FD0225E389C5E048A94E6D61684
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
MD5472A2FE314602D5DE549220B114CD44D
PackageArchaarch64
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-1CDD28DDDCD6AF2F9922B122029110AC5680C4588
SHA-2564DA24A161149C4433F4FAC8E4D5CF382ACBBCA674A8B6927CE478940EDC1863F
Key Value
MD52186E893B156DD1F07934619F443D318
PackageArchx86_64
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-1DED13D136C96BE7B16F2045C0038A7D228DB32A7
SHA-256AC65E898D6EBA2BFE2603F39F0AC3F48094E32211497B6627D59A7D2353F59AC





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