Query result

Key	Value
FileName	./usr/lib/python3/dist-packages/pykdtree/kdtree.cpython-38-x86_64-linux-gnu.so
FileSize	121720
MD5	BCF0FAE06CFF6A45DBB7892DC3473764
SHA-1	A2A100624062CC7E8E701980618EDE2E27E3EFC4
SHA-256	6CFC2D07D118325BC554958A063A61C0B285876463F06DF29C655B142D12C2CD
SSDEEP	3072:5JD3RP3b420mS59c73npM1zfXYEuegE5:LB0vmSmM1LhuegE5
TLSH	T158C32B17F00618FCC0A5E8319EEB916317B2B85551383BEB25985D360F96F206F79FA2
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
FileSize	50012
MD5	9939184A618B22F7245EC9B54B223509
PackageDescription	Fast kd-tree implementation with OpenMP-enabled queries (Python 3 version) 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. . The implementation is based on scipy.spatial.cKDTree and libANN by combining the best features from both and focus on implementation efficiency. . The interface is similar to that of scipy.spatial.cKDTree except only Euclidean distance measure is supported. . Queries are optionally multithreaded using OpenMP. . This is the Python 3 version of the package.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-pykdtree
PackageSection	python
PackageVersion	1.3.1-4build2
SHA-1	61711267734F61137CB8A137B47901131782BE4D
SHA-256	4BD3B6D79AB8613D31C6780B9CBA26CE72862EBD362269FE709D19B364E59B1D