Result for 15526679B49693E5432BED72DCCC12375BD9A915

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5l.s390x-linux-gnu.so
FileSize98720
MD5A26163AEA7F9B71814346E0E17EA94B3
SHA-115526679B49693E5432BED72DCCC12375BD9A915
SHA-2564B7B65FB901EEB6800DEC2B2D47C7FC7F9BD0D852F0C208BE879A2F607350E72
SSDEEP3072:E+l5SkLA3Iq3z04LhQDyaDLt+9+aGW0DHkG:ikeIMz04LhQDyKLtlNW8
TLSHT168A3A695532083E1C8B47B32B19F2372D73338363685A81EEBDDDF161972AA84E5532D
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
FileSize589774
MD50AC59FCF18701E31090A2313E152C0FD
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-19DED675112C7E2CC7C06895CF8C1DF9C9425DB45
SHA-25698AF2CCD9E155A4777E3BD6AC0D92766F498DCFE23337739EE197DA70681AA99