Query result

Key	Value
FileName	./usr/lib/python3.7/site-packages/pykdtree/kdtree.cpython-37m-arm-linux-gnueabi.so
FileSize	94816
MD5	B1EB6CCFE02503D7E5C79F54CBA1E47B
SHA-1	B35D83DB46850F8689B26DCC2EF78E654C6A3045
SHA-256	1F6487BF863EF0075B79DD6F3ED84A949AD2F2D7DB7B62A9DE0311B7B3D62374
SSDEEP	1536:gQRtuGpBHMxgtTz1QOfymMCgGgec9i9COK3NATsVZ2d:7pHTtvxMzrZ3N5n2d
TLSH	T12893D886F410AFB1C6D02B39B76A0709B23706F5C3DD32179A3496B03BD65AB0D37A56
hashlookup:parent-total	1
hashlookup:trust	55

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The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	007B3026EB7E5500C2C04C8A24710832
PackageArch	armv7hl
PackageDescription	Pykdtree 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.
PackageMaintainer	shlomif <shlomif>
PackageName	python3-pykdtree
PackageRelease	4.mga7
PackageVersion	1.3.1
SHA-1	70D55F77E8C6E000253515BDF5434E18E75A3A39
SHA-256	6314C4C99D5EE13EAB9C37C313E5EC222B33AE788BF47CEB726CC986864D0055