Result for 4F2141130C21C15A19E7461ED66555B8CB48CA5B

Query result

Key Value
FileName./usr/lib/python3/dist-packages/pykdtree-1.3.1.egg-info/top_level.txt
FileSize9
MD5679C6C2467ABF2E8F62F303928753E15
SHA-14F2141130C21C15A19E7461ED66555B8CB48CA5B
SHA-25613AA848EEE6870C07A8EEBB68F453B025116D679241C0E96EFF37B1FBD99D1E4
SSDEEP3:ZAKn:Z1n
TLSH
hashlookup:parent-total90
hashlookup:trust100

Network graph view

Parents (Total: 90)

The searched file hash is included in 90 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD5D57B07C6258F8B333EA043A839EA4BC5
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.
PackageMaintainerFedora Project
PackageNamepython3-pykdtree
PackageRelease9.fc33
PackageVersion1.3.1
SHA-10333B41F8CE64C782CD771E359BA1F200B329654
SHA-256F2B58E59BDEA7E37FCA1FD14B195657B5D187115DAF3C5D53C0AF083BB6027BE
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
MD5A84EDF37C2885F87B9295B12C86B3B0F
PackageArcharmv7hl
PackageDescriptionA Python2 kd-tree nearest neighbour search.
PackageMaintainershlomif <shlomif>
PackageNamepython2-pykdtree
PackageRelease4.mga7
PackageVersion1.3.1
SHA-1050447DE2368CD8E6513D6D7B0245221A28D1017
SHA-25664B7ABFDC52D6273D527A43656C244AB3D0FA2128D158F58C09B1B4B862CF4AF
Key Value
FileSize33644
MD5F6C5C05930BA5E87E5B650C8A52F3656
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
PackageVersion1.2.1-1
SHA-10A053146E5E6EC659D0DAE85EF61B259CF6863B6
SHA-256464736D3C437E7829A2C2E832C7738AE6EB7C48362544659E7A196A06EF63186
Key Value
FileSize39218
MD571E11CB83F58B8A730E4BFBF5FF7C8D8
PackageDescriptionFast kd-tree implementation with OpenMP-enabled queries 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.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython-pykdtree
PackageSectionpython
PackageVersion0.2-1
SHA-10B705C21D71AAD9A5DD054816E12FE04EF6E50DD
SHA-256CF6684F5CD6A106D2D14494C0D1F62F3CB9266CE74C8FD44D3ABCA2B292B7B4C
Key Value
MD50C078171896DCAF48E432323CEEE5DD5
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.
PackageMaintainerFedora Project
PackageNamepython3-pykdtree
PackageRelease9.fc33
PackageVersion1.3.1
SHA-10DA17C022A375B2B394D4F998D886DCAF7CA46F5
SHA-256651C69E4952CEE75C6BFD311EAC086D884401A0AED42B9D7D7099EB075065C3A
Key Value
FileSize40900
MD5EA83213C7E03008684346E45D6847B5C
PackageDescriptionFast kd-tree implementation with OpenMP-enabled queries (Python 2 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 2 version of the package.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython-pykdtree
PackageSectionpython
PackageVersion1.3.1-2
SHA-10FBD4CAF00DF8CCEB64D31DFB12578B9585CAA56
SHA-25607880BFD5E5909D3C899FABB255FC53B6C2B3A675C6E9EBAAC9177479267F438
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
MD527A132113B952FB0DB7D7100758FF194
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.
PackageMaintainershlomif <shlomif>
PackageNamepython3-pykdtree
PackageRelease4.mga7
PackageVersion1.3.1
SHA-11FB8CD3FFFF0FC23C98B8F6C4B6BFEF5B4AB15A2
SHA-25653E831961F9D9C57E57B5E7671DED003BF0D0842CC56A7AB503717FD26BFFF26
Key Value
FileSize35904
MD579B63CBF9956F1F443E4FCAC37576566
PackageDescriptionFast kd-tree implementation with OpenMP-enabled queries (Python 2 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 2 version of the package.
PackageMaintainerDebian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageNamepython-pykdtree
PackageSectionpython
PackageVersion1.2.1-1
SHA-1201CF48B2C6BF06C16C9E602E4F0677AC9FCE955
SHA-25676064F8E3E5CDEEBDB62646739CD0BC1B601AA382D65210829306B27090B5455