Parents (Total: 39)

The searched file hash is included in 39 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	39218
MD5	71E11CB83F58B8A730E4BFBF5FF7C8D8
PackageDescription	Fast 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-pykdtree
PackageSection	python
PackageVersion	0.2-1
SHA-1	0B705C21D71AAD9A5DD054816E12FE04EF6E50DD
SHA-256	CF6684F5CD6A106D2D14494C0D1F62F3CB9266CE74C8FD44D3ABCA2B292B7B4C

Key	Value
FileSize	40900
MD5	EA83213C7E03008684346E45D6847B5C
PackageDescription	Fast 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-pykdtree
PackageSection	python
PackageVersion	1.3.1-2
SHA-1	0FBD4CAF00DF8CCEB64D31DFB12578B9585CAA56
SHA-256	07880BFD5E5909D3C899FABB255FC53B6C2B3A675C6E9EBAAC9177479267F438

Key	Value
FileSize	47376
MD5	0256537B11B90D7E7266A877387A0CCA
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	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-pykdtree
PackageSection	python
PackageVersion	1.3.4+ds-1+b1
SHA-1	1CB565F92CDDDFEED1F516A9B175FBEE5B54787A
SHA-256	12DE1C6D6E3F718D434CD2A2F523D635E0E26EB3BB82526304CF7999C03345BA

Key	Value
FileSize	35904
MD5	79B63CBF9956F1F443E4FCAC37576566
PackageDescription	Fast 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-pykdtree
PackageSection	python
PackageVersion	1.2.1-1
SHA-1	201CF48B2C6BF06C16C9E602E4F0677AC9FCE955
SHA-256	76064F8E3E5CDEEBDB62646739CD0BC1B601AA382D65210829306B27090B5455

Key	Value
FileSize	39634
MD5	CAA8AFA960376972285AE30C5B706EB5
PackageDescription	Fast 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-pykdtree
PackageSection	python
PackageVersion	0.2-1
SHA-1	22C47112DF809EC02D270E5C73CF6A254467365B
SHA-256	B096E035AD055489363F7AF89846E982072C879D66ED313F3CD46171A169C596

Key	Value
FileSize	47344
MD5	71C15EB49B1EA8ABD00EFED10665B38C
PackageDescription	Fast 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-pykdtree
PackageSection	python
PackageVersion	1.3.1-2
SHA-1	28AD3E25EE353493EACB06A955954BE0AEEC99E1
SHA-256	45BD6F5E7E4E08EB54FE02011CCE6BC15061A65B8F43953A76682D1A7D2CF0A6

Key	Value
FileSize	39268
MD5	581955200D782B67532233E3FB51052F
PackageDescription	Fast 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-pykdtree
PackageSection	python
PackageVersion	1.2.1-1
SHA-1	2AB12F6CE5259597822B07150DDBC3BB846E564F
SHA-256	93C8B2EFCB6C479C6B17E0A131A9A57424BF7AF0533491D3FF1DB33F7C9637BF

Key	Value
FileSize	38392
MD5	E005E3920D671CDD66CB9C59B146A01E
PackageDescription	Fast 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-pykdtree
PackageSection	python
PackageVersion	1.2.1-1
SHA-1	2F8C506D74F1FEFC20522F9309D84CFD5967EF0A
SHA-256	C634BA4B52FC9073DA0CD5BF3C94F2A66B3621E2C8323AB3B7855D26E4D9F33B

Key	Value
FileSize	50344
MD5	D975BFBAE9041F1C947EE0D8BAECCEBC
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	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python3-pykdtree
PackageSection	python
PackageVersion	1.3.4+ds-1+b1
SHA-1	34F56A37A54167CC06CE6575F3837DCAC602B5B3
SHA-256	5D75F1A6D4DD992D9ACDA8D1014824E5384264B31F60F88967144E589E20CD07

Key	Value
FileSize	44068
MD5	3D8F2503F75C918E119E2429E20D1DBB
PackageDescription	Fast 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.
PackageMaintainer	Debian GIS Project <pkg-grass-devel@lists.alioth.debian.org>
PackageName	python-pykdtree
PackageSection	python
PackageVersion	1.3.1-2
SHA-1	3869D31E5C69A884F7239F0C925DE4FFFD5A59A7
SHA-256	77C82B48529B88F962771DD0BD60FF215D5994F78B7AC367396593D525A4A169