Result for ECCA38A90C0F325DB66C9C98A23A25B313502EC6

Query result

Key Value
FileName./usr/share/doc/python3-pykdtree/copyright
FileSize1871
MD5F3FC894AE0BB52F69875FFEC2A0EE27B
SHA-1ECCA38A90C0F325DB66C9C98A23A25B313502EC6
SHA-25680AE5C3750B69ACFE4FF53F59F28544B66B485B45E93870241EB8F718772CF8D
SSDEEP24:gttFKK4VDtC+hELVyROkHYITbVS2yYnAyvnmZfNoRhELVyROkHAITbVS2yYnAyCq:jVJPoyvHConxufyoyvHqonxtn
TLSHT113310F0E1190C37B894017D63987A1DFF32BAB9276FC90909009829FDA0AD7706E25E8
hashlookup:parent-total24
hashlookup:trust100

Network graph view

Parents (Total: 24)

The searched file hash is included in 24 parent files which include package known and seen by metalookup. A sample is included below:

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
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
Key Value
FileSize39268
MD5581955200D782B67532233E3FB51052F
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-12AB12F6CE5259597822B07150DDBC3BB846E564F
SHA-25693C8B2EFCB6C479C6B17E0A131A9A57424BF7AF0533491D3FF1DB33F7C9637BF
Key Value
FileSize34172
MD5D71362B714036500EC93D280674B6938
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-12B02BDD71A23400048BF1178283651ED96849F91
SHA-256042D25E105482E65F558EF03F3760CE79D481FA00602B393128BCDFCE2A2F2BC
Key Value
FileSize38392
MD5E005E3920D671CDD66CB9C59B146A01E
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-12F8C506D74F1FEFC20522F9309D84CFD5967EF0A
SHA-256C634BA4B52FC9073DA0CD5BF3C94F2A66B3621E2C8323AB3B7855D26E4D9F33B
Key Value
FileSize36358
MD500EB27EEAE6E89E158C9F22963E1B3AC
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-pykdtree
PackageSectionpython
PackageVersion1.2.2-3build1
SHA-13914CD205DB8970609C6B0A9BABAFBA4BC57C6C6
SHA-256DCE1BC09886D90E5C430CDF0A2B8C1D70D7D25836558C1E03EE5C19EFBB1CDE5
Key Value
FileSize37564
MD5BBF9CD3A2687C83D2596AC4DB87C6150
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-pykdtree
PackageSectionpython
PackageVersion1.2.2-3build1
SHA-139578FE64A84E32E98B5205BE9C8D5729C537088
SHA-256834C0CDEB7A4906D9A8A49E9B96C88D518A7EA1AD03C21F78DB9FE58E22E523D
Key Value
FileSize39022
MD56DB7B974AC0CDCA961DA913DDB377F37
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-13C21DD39FE25DBB83CE9265B0E8C7113379B1ED3
SHA-2562514D58938F51D7A2DB80BB7A0D62326ED63E3F56F33501A8689A1E67F1F96EB
Key Value
FileSize30902
MD516C92679FBFC733AE757F1C2D1146F41
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-151990C8CCF3851C53EEFF922A8A4A8460D306658
SHA-25655F1DD1CCDD0E3E9E4FB8584E952A1B136950A9B97F26C6F20E1E061D1262D83
Key Value
FileSize36826
MD54E7C0E292D4CF71BD9A3D8696A13FCC7
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-15859D0282DC42B9DD8E924569E72C7FB0B189CBF
SHA-25603B37E72F158C96F0350C4A1556B84B449C31644AD955125D08F40588D6F85AC