Parents (Total: 17)

The searched file hash is included in 17 parent files which include package known and seen by metalookup. A sample is included below:

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
MD5	492AE688A9A5DE067DFD236460B83C53
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	2.fc34
PackageVersion	1.3.4
SHA-1	65B017BD6B625052DE8DDF886641419E849D9BB0
SHA-256	5BFF7BFA1E639FC01C8AFED9E8E3D54CF91477543E20D6E6E1A22D9B399A9D5D

Key	Value
MD5	9869D4798614E9A78B57509A90D433E8
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. Queries are optionally multithreaded using OpenMP.
PackageMaintainer	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga8
PackageVersion	1.3.4
SHA-1	82C3DBBD778A07F1F94FA7E1AC3E5CD2E54F814A
SHA-256	A8EC0A16080C4C383BE1DA5F80B1DC1610BDD087C7F73C823B36CD72A74E7425

Key	Value
MD5	15EF63F5415F6CCB36139931FB17AEF4
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	2.fc34
PackageVersion	1.3.4
SHA-1	8757DE78136761653CF1A9426004532631078FFD
SHA-256	093162A2A2AE0526AEF732A8D8D2617D5867FFA28DC10DD848F81F7524541B58

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
MD5	2DCD7661B614664DB5FC5A2C5409E553
PackageArch	i586
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. Queries are optionally multithreaded using OpenMP.
PackageMaintainer	eatdirt <eatdirt>
PackageName	python3-pykdtree
PackageRelease	1.mga8
PackageVersion	1.3.4
SHA-1	ADBB18D677C87F4CA94E2A951081D1262F6DD536
SHA-256	59F1A0F17236EAC11CF469E922461CC35A2ACAD7E7D904C1E6E411B669A8A623

Key	Value
MD5	E7424600D90961D659D632279B05C635
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	2.fc34
PackageVersion	1.3.4
SHA-1	AFAA8304603A4D0B8EE325F695E0E9526AF0A33E
SHA-256	767192024D946E00BDCC917379DBF7B354897DB616C0C8FCD23CB12A194175B6