Result for 1A8DC4AF2BB06CED2762352FA848356C0E0D2E38

Query result

Key Value
FileName./usr/share/doc/python-h5py-doc/html/_sources/faq.rst.txt
FileSize9593
MD52BFB30CE1E50507648BAB27739D4C263
SHA-11A8DC4AF2BB06CED2762352FA848356C0E0D2E38
SHA-256147998B84DB1BA821312A0EDE7F59389A002A65A6D308CD438C2AB7E09F82C01
SSDEEP96:gahyP5vm0d+81Lrb19eCsy1Ey/U5CuT9ox63LzI5zHAN9c2z6+4d4QTvvaZvzyE4:gahU5Om+8RD1C9EbAo2u+s4/UEeqc
TLSHT12712D82B3F00937113A6C1D7A78D82A1F77980791361A6A4745EC2BC2722F2857BFBD1
hashlookup:parent-total3
hashlookup:trust65

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Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize102910
MD572CA039A2F3FD36B696B099CD2B7E1B9
PackageDescriptionh5py documentation HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the documentation for h5py.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion2.6.0-1
SHA-130819439E967584360A405FDB96B73D21E44CEAC
SHA-256CE97D5595B5BC05A7F0A0AB2028D4C8A84292A56E01BB5CBA5E882D677CEC19D
Key Value
FileSize165690
MD5839FF78FF0F2F00CE78312D85885ADBC
PackageDescriptiondocumentation for h5py HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the documentation.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion2.7.1-2
SHA-1FBF512DCC2B7672E6767A44099B15B23A283AB7F
SHA-2568FD1016A9C2877F30FB42E84E9880AF93DD4AC345F44AC7F493C68BD31549248
Key Value
FileSize114670
MD54D6D2A3636365432164C08E012E3AA0D
PackageDescriptionh5py documentation HDF5 for Python (h5py) is a general-purpose Python interface to the Hierarchical Data Format library, version 5. HDF5 is a versatile, mature scientific software library designed for the fast, flexible storage of enormous amounts of data. . From a Python programmer's perspective, HDF5 provides a robust way to store data, organized by name in a tree-like fashion. You can create datasets (arrays on disk) hundreds of gigabytes in size, and perform random-access I/O on desired sections. Datasets are organized in a filesystem-like hierarchy using containers called "groups", and accessed using the tradional POSIX /path/to/resource syntax. . H5py provides a simple, robust read/write interface to HDF5 data from Python. Existing Python and Numpy concepts are used for the interface; for example, datasets on disk are represented by a proxy class that supports slicing, and has dtype and shape attributes. HDF5 groups are presented using a dictionary metaphor, indexed by name. . This package provides the documentation for h5py.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion2.7.0-1
SHA-1EE8792E2B51F1197B067F2216D2684CF963F9832
SHA-2566BDA0B50BEEA5690E172B26E9AAB2F412EED3C39C036C0B2F097795146817F6F