Parents (Total: 16)

The searched file hash is included in 16 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	D57B07C6258F8B333EA043A839EA4BC5
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	9.fc33
PackageVersion	1.3.1
SHA-1	0333B41F8CE64C782CD771E359BA1F200B329654
SHA-256	F2B58E59BDEA7E37FCA1FD14B195657B5D187115DAF3C5D53C0AF083BB6027BE

Key	Value
MD5	0C078171896DCAF48E432323CEEE5DD5
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	9.fc33
PackageVersion	1.3.1
SHA-1	0DA17C022A375B2B394D4F998D886DCAF7CA46F5
SHA-256	651C69E4952CEE75C6BFD311EAC086D884401A0AED42B9D7D7099EB075065C3A

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	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	47348
MD5	832870C07E02D2CA7E7471DFAED81B59
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	3CC43F855F8FE3A78F7BEECF476D037ADC537B99
SHA-256	4765EFCCC60D83BC3C8F0A3FA2049D197EE8290CE65469B3AA5F3E7B972C6895

Key	Value
FileSize	52620
MD5	D51CB33A889193687397070909CBD5ED
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	4D9BE12DD809BDEFCBC5EBE1914508FBEE0F0AF2
SHA-256	FDB6C7C8D54A36B4F54DEC3E676119555EA9E7A64E8C475E65509AF4218563CA

Key	Value
FileSize	53556
MD5	7EE75265A3503B051FE352B977F1DAEF
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	8E3F8FE40F9AB89F278291C70F998DC31AB85E36
SHA-256	F73826B219D16F37178D3018D4D133AFDDD235A71CA39EF06980FF24D13046ED

Key	Value
FileSize	52668
MD5	11C5109E163FC1E975A13D2ACA11714A
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-pykdtree
PackageSection	python
PackageVersion	1.3.4+ds-1build1
SHA-1	D03ECB0EEE2B5E40B753E545CDA91C140F8D360F
SHA-256	D5A7FCE0EE9184026F5C5904FEAFD2B31972D3428013B10519D53C7ED5BB0BD1

Key	Value
MD5	75417BB813AE1D68688282BFAB8D2282
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	7.fc32
PackageVersion	1.3.1
SHA-1	D2014462A345F89479DB3AB5EEF8F67AB7D550EF
SHA-256	4FBF2297BEB2345A7E5CE6756E4D78A06C96D1062DC6A943F1BC42A36E3E098F

Key	Value
MD5	6C40EE85F72FB779B212E8ED8CEA15CE
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	7.fc32
PackageVersion	1.3.1
SHA-1	D4CA9105C91E11A66E9EEA154219329F3E72B999
SHA-256	1F52A962517CD12F42AB433BD9BD4C6AC3CAE910385EB7EEF1513AA133D39551