Result for E73208D59F6D35ED89A16287484F7D37D4F46FBA

Query result

Key Value
FileName./usr/lib64/python3.10/site-packages/pykdtree/test_tree.py
FileSize15489
MD56C925CC9167FD222C7695C9842E97D07
SHA-1E73208D59F6D35ED89A16287484F7D37D4F46FBA
SHA-256637E22AE008C0FE0A1471494DAE4F9C58680EC85C0C258C94216731C4564B933
SSDEEP384:CJ8nSj8H4Z7Kf2WjtJSaLWtBLwWtBL4WtBLX4SC4:CJqSj8H4Z+fFjtJT6tBLTtBLbtBL3j
TLSHT16762402910577994223EE37B49244193503DB32F2D9ABC8571BD66889F2E61DFFB702C
hashlookup:parent-total25
hashlookup:trust100

Network graph view

Parents (Total: 25)

The searched file hash is included in 25 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5E77393F4CD145ED5DB9C99734B074EFB
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.
PackageMaintainereatdirt <eatdirt>
PackageNamepython3-pykdtree
PackageRelease1.mga9
PackageVersion1.3.5
SHA-10433E384DC2612320AAE15EFBFED87603A9564BF
SHA-256217D58EDF7E231FB97F2C0BCD45D4509DB6A4EAF703FC68F3A4FE009A33C916B
Key Value
FileSize47376
MD50256537B11B90D7E7266A877387A0CCA
PackageDescriptionFast 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.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-pykdtree
PackageSectionpython
PackageVersion1.3.4+ds-1+b1
SHA-11CB565F92CDDDFEED1F516A9B175FBEE5B54787A
SHA-25612DE1C6D6E3F718D434CD2A2F523D635E0E26EB3BB82526304CF7999C03345BA
Key Value
MD50077145C571DC5E095A56EC3C0D0A6E1
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.
PackageMaintainereatdirt <eatdirt>
PackageNamepython3-pykdtree
PackageRelease1.mga9
PackageVersion1.3.5
SHA-12BC19027B116EB8DD05D9021028DFF21773BB2C2
SHA-25605C7CC7D585BD0AC221BA8596EAFD0113DD582BA59DCA8592445E4DB72AE3405
Key Value
FileSize50344
MD5D975BFBAE9041F1C947EE0D8BAECCEBC
PackageDescriptionFast 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.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-pykdtree
PackageSectionpython
PackageVersion1.3.4+ds-1+b1
SHA-134F56A37A54167CC06CE6575F3837DCAC602B5B3
SHA-2565D75F1A6D4DD992D9ACDA8D1014824E5384264B31F60F88967144E589E20CD07
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
Key Value
FileSize47348
MD5832870C07E02D2CA7E7471DFAED81B59
PackageDescriptionFast 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.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-pykdtree
PackageSectionpython
PackageVersion1.3.4+ds-1+b1
SHA-13CC43F855F8FE3A78F7BEECF476D037ADC537B99
SHA-2564765EFCCC60D83BC3C8F0A3FA2049D197EE8290CE65469B3AA5F3E7B972C6895
Key Value
MD5952EE145C3CCDB41ED77863EA64BC0B1
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.
PackageMaintainereatdirt <eatdirt>
PackageNamepython3-pykdtree
PackageRelease1.mga9
PackageVersion1.3.5
SHA-14C702DFED71B967F000D97055A47202B11C0854D
SHA-256B09043E5A8441D59E21533634C90E9759FF815D8C3E00749BE98B2FCEE58DB3F
Key Value
FileSize52620
MD5D51CB33A889193687397070909CBD5ED
PackageDescriptionFast 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.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython3-pykdtree
PackageSectionpython
PackageVersion1.3.4+ds-1+b1
SHA-14D9BE12DD809BDEFCBC5EBE1914508FBEE0F0AF2
SHA-256FDB6C7C8D54A36B4F54DEC3E676119555EA9E7A64E8C475E65509AF4218563CA
Key Value
MD5492AE688A9A5DE067DFD236460B83C53
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.
PackageMaintainerFedora Project
PackageNamepython3-pykdtree
PackageRelease2.fc34
PackageVersion1.3.4
SHA-165B017BD6B625052DE8DDF886641419E849D9BB0
SHA-2565BFF7BFA1E639FC01C8AFED9E8E3D54CF91477543E20D6E6E1A22D9B399A9D5D
Key Value
MD59869D4798614E9A78B57509A90D433E8
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.
PackageMaintainereatdirt <eatdirt>
PackageNamepython3-pykdtree
PackageRelease1.mga8
PackageVersion1.3.4
SHA-182C3DBBD778A07F1F94FA7E1AC3E5CD2E54F814A
SHA-256A8EC0A16080C4C383BE1DA5F80B1DC1610BDD087C7F73C823B36CD72A74E7425