Result for 0B7B14C271E72C73D65C88651D2B0D9EFF93CCED

Query result

Key Value
FileName./usr/share/doc/python-h5py-doc/html/_sources/high/file.rst.txt
FileSize18482
MD526C1169F211F5473877D609F85DE45E3
SHA-10B7B14C271E72C73D65C88651D2B0D9EFF93CCED
SHA-256A2A4FC3D92145E2462FAE8F3F6498CBF64643ED6A8BC5DEF5906ED40BA5B83BC
SSDEEP384:lhT8haN9yX3flDfTyExkX1Fb6HVZ8EYRRA:lhT8haNcH9DWEk1Fb+VsC
TLSHT1CE82E8177F446B7306A2C4A26B5EA1D4E724913FA372A294749CC0D8370AB3D53FEAD4
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
FileSize217148
MD5ADDBDEFD9EFA40637AB17F932D2CD986
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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion3.4.0-1exp1
SHA-1E919494F1C0AD25A7636A1DC754EAB1247A79B93
SHA-2566805615FDF3889E0943231DAA99FF99782DB23EE9A87B071E8FA6386F0ABB503
Key Value
FileSize216580
MD593C56CBD71CE10A56794BA4FAD2D1724
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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion3.3.0-2
SHA-1C091938D35DDE45D65E95D38EE595498B4318AD7
SHA-256450BECE82FCF2D3DCA69FC807E65427CA579657E9F15D84DDBEBA2FAAD772D28
Key Value
FileSize218852
MD5B60D783670B3601E533F59C529FE28E8
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.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py-doc
PackageSectiondoc
PackageVersion3.3.0-3
SHA-178E7F257B4643E5A4B0183A00E520FF48CB721FA
SHA-2563A17B441E95740F3DFBDF03B28A08B4D28EA85CCFB22FC257869CA98C199FBAE