Result for 0621175FDFE3A0AD873CEBE80E9C6EA7C01D5E00

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5a.so
FileSize62452
MD5F44DC70470F7472E9A146C6278B5A7D4
SHA-10621175FDFE3A0AD873CEBE80E9C6EA7C01D5E00
SHA-2560D7B6751756C4C134E10314292D01B963E175321DC8E6501F7F88E9C98B802E5
SSDEEP1536:MPhPtYEkIYDcFbCvSuNwUw88OjmOMROoIf:Wh+rIZtCvBNwt88OjmOMR1g
TLSHT123535D89F697CA33C681CAB134928F448306E51E21A2CB9770DC4965EF8B1D18F7BE75
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
FileSize479484
MD587FBFFEE0640D45CB9B448C13388100F
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-17191F181458EF97ED5A29660C6FF8F2A5E0450AF
SHA-2567A9849590567D7FA6DF8555FB72DFF80EAF6241EAEEE63CEA9033F15F52DCCD9