Result for 6B4707346AC51AB3B9EA25858E669E9E116A5E92

Query result

Key	Value
FileName	./usr/lib64/python3.10/site-packages/pykdtree-1.3.5-py3.10.egg-info/SOURCES.txt
FileSize	355
MD5	412504F0E356459F715BC1DA9410612D
SHA-1	6B4707346AC51AB3B9EA25858E669E9E116A5E92
SHA-256	033C75F30539AC1124FB7F2D97D35C5D8431D547F08336A18D9EAB46E4DDE9C1
SSDEEP	6:mvsQk0QE0oG9KwIA3OBxSxINWPINWuRDRXINWMEZJvRXINWDWKV/INWERXRXINWi:mvu0Qpj/u1fV2kd2pjbd2B
TLSH	T167E04F92C61A50623210EC84922F0631EBE2B7DBEFCEF862503401CBE02844DC62F8F4
hashlookup:parent-total	15
hashlookup:trust	100

Network graph view

Parents (Total: 15)

The searched file hash is included in 15 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	823B9153725C050C3EC1CFCB6925087C
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	umeabot <umeabot>
PackageName	python3-pykdtree
PackageRelease	4.mga9
PackageVersion	1.3.4
SHA-1	CD716BF017C6393D4C32140AD0BD46DFB0A7B10D
SHA-256	948EACC0B8FE87361F3ACFC5DE0CA5C1012CADB76089D04A2E2355B8541B388D

Key	Value
MD5	15EF63F5415F6CCB36139931FB17AEF4
PackageArch	x86_64
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.
PackageMaintainer	Fedora Project
PackageName	python3-pykdtree
PackageRelease	2.fc34
PackageVersion	1.3.4
SHA-1	8757DE78136761653CF1A9426004532631078FFD
SHA-256	093162A2A2AE0526AEF732A8D8D2617D5867FFA28DC10DD848F81F7524541B58

Key	Value
MD5	2DCD7661B614664DB5FC5A2C5409E553
PackageArch	i586
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	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga8
PackageVersion	1.3.4
SHA-1	ADBB18D677C87F4CA94E2A951081D1262F6DD536
SHA-256	59F1A0F17236EAC11CF469E922461CC35A2ACAD7E7D904C1E6E411B669A8A623

Key	Value
MD5	492AE688A9A5DE067DFD236460B83C53
PackageArch	aarch64
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.
PackageMaintainer	Fedora Project
PackageName	python3-pykdtree
PackageRelease	2.fc34
PackageVersion	1.3.4
SHA-1	65B017BD6B625052DE8DDF886641419E849D9BB0
SHA-256	5BFF7BFA1E639FC01C8AFED9E8E3D54CF91477543E20D6E6E1A22D9B399A9D5D

Key	Value
MD5	2186E893B156DD1F07934619F443D318
PackageArch	x86_64
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	umeabot <umeabot>
PackageName	python3-pykdtree
PackageRelease	4.mga9
PackageVersion	1.3.4
SHA-1	DED13D136C96BE7B16F2045C0038A7D228DB32A7
SHA-256	AC65E898D6EBA2BFE2603F39F0AC3F48094E32211497B6627D59A7D2353F59AC

Key	Value
MD5	952EE145C3CCDB41ED77863EA64BC0B1
PackageArch	x86_64
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	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga9
PackageVersion	1.3.5
SHA-1	4C702DFED71B967F000D97055A47202B11C0854D
SHA-256	B09043E5A8441D59E21533634C90E9759FF815D8C3E00749BE98B2FCEE58DB3F

Key	Value
MD5	472A2FE314602D5DE549220B114CD44D
PackageArch	aarch64
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	umeabot <umeabot>
PackageName	python3-pykdtree
PackageRelease	4.mga9
PackageVersion	1.3.4
SHA-1	CDD28DDDCD6AF2F9922B122029110AC5680C4588
SHA-256	4DA24A161149C4433F4FAC8E4D5CF382ACBBCA674A8B6927CE478940EDC1863F

Key	Value
MD5	9869D4798614E9A78B57509A90D433E8
PackageArch	x86_64
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	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga8
PackageVersion	1.3.4
SHA-1	82C3DBBD778A07F1F94FA7E1AC3E5CD2E54F814A
SHA-256	A8EC0A16080C4C383BE1DA5F80B1DC1610BDD087C7F73C823B36CD72A74E7425

Key	Value
MD5	48876186CB29782E62AEA66F9027595C
PackageArch	aarch64
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	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga9
PackageVersion	1.3.5
SHA-1	C6CE33B8BE34651B0A16018C924B8C1DC3F6CFB0
SHA-256	572AC97A675864F289A89BFCDB59B0FF2C1B7B062D64BAF65FCDD9CDED3EC94E

Key	Value
MD5	0077145C571DC5E095A56EC3C0D0A6E1
PackageArch	i586
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	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga9
PackageVersion	1.3.5
SHA-1	2BC19027B116EB8DD05D9021028DFF21773BB2C2
SHA-256	05C7CC7D585BD0AC221BA8596EAFD0113DD582BA59DCA8592445E4DB72AE3405

Key	Value
MD5	E77393F4CD145ED5DB9C99734B074EFB
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	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga9
PackageVersion	1.3.5
SHA-1	0433E384DC2612320AAE15EFBFED87603A9564BF
SHA-256	217D58EDF7E231FB97F2C0BCD45D4509DB6A4EAF703FC68F3A4FE009A33C916B

Key	Value
MD5	186A80D81B8F5B38DD34410E18460B24
PackageArch	i586
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	umeabot <umeabot>
PackageName	python3-pykdtree
PackageRelease	4.mga9
PackageVersion	1.3.4
SHA-1	37930A94E2D585D801587DCB591869942F2E61BD
SHA-256	51939D6CEBA33A701AED1E23B352771F456B44CB4F19C157D7A7217F41D7DE92

Key	Value
MD5	1EB00D176E193E886F8E606BEB5EB8A0
PackageArch	aarch64
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	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga8
PackageVersion	1.3.4
SHA-1	CF1EED167E5CA8D1585051D777B7C72D927FA47E
SHA-256	798900426032A336DDFB0E76066286850F1DEE80BE1F18B41D874B520735E100

Key	Value
MD5	CED81CECF20125FF7A49BE4390B13C1F
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	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga8
PackageVersion	1.3.4
SHA-1	C15AB0ECD13784A212B502708B269D2E9597FD30
SHA-256	2FB3EB279F3BCF1F61E83D028202C487AB652147F4009FADCB1C807E98071786

Key	Value
MD5	E7424600D90961D659D632279B05C635
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.
PackageMaintainer	Fedora Project
PackageName	python3-pykdtree
PackageRelease	2.fc34
PackageVersion	1.3.4
SHA-1	AFAA8304603A4D0B8EE325F695E0E9526AF0A33E
SHA-256	767192024D946E00BDCC917379DBF7B354897DB616C0C8FCD23CB12A194175B6