Result for 5A58A536A4BA7D49D93FB92175E78C125C7CFB9E

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Key Value
FileName./usr/lib/python3.10/site-packages/pykdtree/__pycache__/test_tree.cpython-310.opt-1.pyc
FileSize10354
MD521D93223A83832CAE1683B247B88B403
SHA-15A58A536A4BA7D49D93FB92175E78C125C7CFB9E
SHA-25626A08FCE336F0D789584547795784D68B6CD57913289996D0B0C595E4D5CE37F
SSDEEP192:jqYlZjWiHOwInAKBcnu6tfjOnpk2v42At11eDi2r7igHtT7NPbSo/RVhptl+/q5:jlZjWiHOT+LGKQ7DLnhnlx5
TLSHT1462272D658924B47FC90F3BCE8263C3523D1DAAFEF5FD0225E389C5E048A94E6D61684
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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