Result for 181170A9B11D9CD46D42E2B59379263C7E37CAA9

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5.so
FileSize58592
MD5CB1DDC49CFEEAE86490F5E0970FA291F
SHA-1181170A9B11D9CD46D42E2B59379263C7E37CAA9
SHA-25628FA1AFCABEFC246D681717214660082249B803647EA478721193216EFC7814D
SSDEEP768:PGY4okDL2063IqwgXcLGP0dro+Z7oZnwCivjFUdiOOS7:+rG063IfgsL+06+Z7oZmvpizOS7
TLSHT1A7430A6AF06680FDC179C3348593C7B2ADB17C048334A7A67588ED382F5397517BEA98
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
FileSize487968
MD5A6A4AC66CC03CC88FF0D1C5D7362B9D4
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-18BCF7C331CE52954DD2C67D72341D0E3981E191A
SHA-256DD9C9437C39316D5FE547F9B9CA67B2949F14036CE25877E8C8A7588181ECB56