Result for 190FFAD3064FF5F9E6C860B6AEC4F3268CA39CFC

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/defs.so
FileSize843340
MD5B0A7834C6AE6330187B551F45401BBC5
SHA-1190FFAD3064FF5F9E6C860B6AEC4F3268CA39CFC
SHA-2568C9F95CEEF927DDC0E26408BBB0C1197B0D02376C2C116A611CF3AF1B075C45C
SSDEEP24576:zaPRrnTCgrjPx9pkC55QBgu1k2n8792G3GuzSZbcKNkxRKqYbWmrTJdj:5vj
TLSHT115059745DE87A0F5EB970130B1D7FA1FCA515306802DDEFEDCB0086BE92367216B925A
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
FileSize432322
MD59F09E19B94B5AC2B018E79FFF2D70BE0
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-h5py
PackageSectionpython
PackageVersion2.2.1-1build2
SHA-1580736E81F956E0229A5B535983D548306968915
SHA-256B12AADE15E88C277D96AAA0B8B8E5FE1F05726A1AE2DFABA1D91ADA07CA3595D