Result for 0C2CEEE63349A620C353780FF267ACE0646ECDFD

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5r.so
FileSize44864
MD5CB283B5B3EA67758A483930AB6C195D5
SHA-10C2CEEE63349A620C353780FF267ACE0646ECDFD
SHA-256E19D730076F4D853B69DA94549864D8121A69A3D3B69B434590AA49A9373D7ED
SSDEEP768:WbePibfEyK1Rwc8kcM1hVlhVIo1y4HAeLm19ui:z2e4kb1hDIovLm19ui
TLSHT12D13272AB5A141FCC279873094D3C7376DB2F41913305BAA3188DA342F53F752B6EAA5
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
FileSize511422
MD5B5D190703D0DD2F6CC40110632D488D0
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.
PackageMaintainerSoeren Sonnenburg <sonne@debian.org>
PackageNamepython-h5py
PackageSectionpython
PackageVersion2.2.1-1.1+b1
SHA-14D5AA7846DBD657880790C2F621AF350340442CF
SHA-25616CF3CCF1E3B7D931FBCB3C74C30484C4EB55229626BB807CC43572DDD0A66BC