Result for 064484D55EF5215553B2ED3ECB46EA6A2B09A412

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5l.arm-linux-gnueabi.so
FileSize79836
MD50225746E948AC84394D6719E22A7AEDE
SHA-1064484D55EF5215553B2ED3ECB46EA6A2B09A412
SHA-256F331F375C5A1BD2EDB4263EBBA7158F28D2C49A376D7AFE92D235718A4A5756D
SSDEEP1536:rcTD8P8Dw1ZsZ2J9VKr9ow9Zc3QmLjtibS1gUOFOmiGcKiiI9hE7:rcTD8EDmACCr9V9Zc3QmyLLI9hE7
TLSHT1BC73E91AFA00EF73C6D92B35B28E5B41F2234B7983CB66555D2C98B43BE35B50D36A04
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
FileSize566694
MD5D2D33E934C687D29DCC8CF4BE8EEC2B6
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-194DB6243AE751FE1FFCEA4C8EB0E7DC7A184A140
SHA-2569CEC936F596E16ECB64E1BCBE4609F5B02FB4308016736A274A639850127F1D1