Result for 150B7A3729CB26735D72B4941B1F79F0BB1CE154

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/_objects.arm-linux-gnueabi.so
FileSize120232
MD59DBC052B77A1B5B790E2D8AB72420889
SHA-1150B7A3729CB26735D72B4941B1F79F0BB1CE154
SHA-256614A5B78D94604E9A1B8D70AC263C602B7A2769F43625D4CF1332370DCEAA921
SSDEEP1536:vRCEWr4Q8AboEg8ZTFOuj0NuNznRIIwzW7bTtg8UP0CjAq30Ja9TH7gC8XDIuCpz:pXWrVb5vpO2MIwzGWSs9TbQD7IO
TLSHT1DCC38559EA10EFB2C5E53E36B3484656B3260B73C3CB63075D2492F47B927E50D2BA12
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize587276
MD554BC2E09303C9F66FE5F268707115CAB
PackageDescriptiongeneral-purpose Python interface to hdf5 (Python 2) 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 modules for Python 2.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py
PackageSectionpython
PackageVersion2.8.0-3
SHA-164B9BB9DD7E7C39686F818DEFB41F47A80BAC64C
SHA-256C52C1CC8EC9C146EFD2BBFDF299A7EC04886768B8D69695DBBAF239226A91C19