Result for 1B033E8E8DA8A5C7017846FBBCD7CFD3023B7AAD

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5t.arm-linux-gnueabihf.so
FileSize305260
MD541F0100B6F08EA780225F76B7FC83DCB
SHA-11B033E8E8DA8A5C7017846FBBCD7CFD3023B7AAD
SHA-25621694CEA74BAC270915839E031C51D2BAD6A9B82AC02430902D7064C62A66ADF
SSDEEP6144:3+xbwgjQm7kOdXZ/Dj4V2Nqo/vuLoyK/56Etu5Dvepm:3+mgjQmbHj4Ufvt5V
TLSHT189546C55F443ECB2D193E5B07CF18300890FE08C33A35F1A70DD2AA6FBCA6955A9A5E5
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
FileSize582524
MD5AAE1A815869E23E8595E459AF7DF81D7
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 h5py for the Python 2 interpreter.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py
PackageSectionpython
PackageVersion2.7.0-1
SHA-11A58437DF3D133432BC2090328658600C4AB62D1
SHA-2568371CF7B6FC3CF271D929E0E70217FC7D67BABEEFF53FB918FAE7DF371B0E5DF