Result for 0DC7908813E74ACB79402910D1E7A43392276208

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/_objects.so
FileSize55004
MD586CF85B1C7C28B6472E33429AC495F71
SHA-10DC7908813E74ACB79402910D1E7A43392276208
SHA-2560484F68D0C9572C210AD2854C21F79546CAD7981EE05937DC5907080DE89F008
SSDEEP1536:NxcBrPtXC47elQVt/yynOMxmzbV9JboE+a:Ly1CYdVtKiczTt
TLSHT14B330A49FE83C1F0D66700709183D63FDA7352036029DFF6E9582F4AE933764AA2D6A5
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize432322
MD59F09E19B94B5AC2B018E79FFF2D70BE0
PackageDescriptionh5py is a general-purpose Python interface to hdf5 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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-h5py
PackageSectionpython
PackageVersion2.2.1-1build2
SHA-1580736E81F956E0229A5B535983D548306968915
SHA-256B12AADE15E88C277D96AAA0B8B8E5FE1F05726A1AE2DFABA1D91ADA07CA3595D