Result for DBC70C17A14D5054BC5FCA2264CCDFC3B2E76FD7

Query result

Key Value
FileName./usr/share/doc/python3-pykdtree/changelog.Debian.gz
FileSize805
MD5AC114AA792B44382B864142EDCA4251B
SHA-1DBC70C17A14D5054BC5FCA2264CCDFC3B2E76FD7
SHA-256BED476F9D45FB68399707586DEA395AAE0D85FB5906EBFA7FE24A1F3CAD4D712
SSDEEP12:XaX/GW6hRxiSSJAVpuNjUmIQiUNijRtT9Oda7J1Wxyjv1Vnq+Od55SJCD844QHEY:XBW6harhjUojiJQajL1dK5aCDq6
TLSHT1F9017558867A0BDC8D0C6A458B39CD031FE436E9052F7652AA7338CA68EA667112166F
hashlookup:parent-total4
hashlookup:trust70

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Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

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
FileSize42344
MD53214612AF6B20FD373D0B7CABCCA3AB4
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pykdtree
PackageSectionpython
PackageVersion1.2.2-3build1
SHA-1A46864D4569DD4371A653D5093E9A993676E25C8
SHA-256A83CCD83081D5DFDAF51283544C748986389B1D9E52F8C67D8367DC8863E86F2
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
FileSize40524
MD554D8873713AB67AE2931D34A38450F1A
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-pykdtree
PackageSectionpython
PackageVersion1.2.2-3build1
SHA-1AD06BC894FB12445ED497A558DFDAE071597A401
SHA-2565A15E3DD35A1FA4E3D44D45F84E47C3F053013CC224EE2C3B8FF0B8C80A45ACA