Result for 7A3765E803B8791A8C903DDEC680A630D47E7F2F

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/pykdtree-1.3.4-py3.10.egg-info/PKG-INFO
FileSize7426
MD5859F0D056A6D9AEE3068DA4E09D8E30C
SHA-17A3765E803B8791A8C903DDEC680A630D47E7F2F
SHA-2560C845D703BB6192FF77C1EE02853E1357C32DADE903F24F5A577C5B55FB45FAF
SSDEEP192:Vugps6JqZ3FlA0UVmCCaZEKBqyboxhV3Pf8tgI8:wK+FbBNFS78
TLSHT11CE1E5B62C5466722D75CA9361AF01E2D779872537A4AC4DB07C80B9234236CC3BF6F6
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 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
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
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