Result for 00994E80D7F6A1FCAFF75E7027B9CDC8E627ED1C

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/h5i.cpython-34m-i386-linux-gnu.so
FileSize37356
MD51DD2D91F40F995B9394C04C8FBC59BEB
SHA-100994E80D7F6A1FCAFF75E7027B9CDC8E627ED1C
SHA-256DB41A6142D0C13BF1510F3190677A2946AE11D2E566119C61659EA55D46802E7
SSDEEP768:f8eee2jQfTRlHC9UTgZoNio1xeg0lOovV+TjfdQxHZx:ff2QttTgfo1DE9V+HdQxHZx
TLSHT12EF2B542EA43B4F3CD365930954B723B8BA2851621BEDFD2ED1C1E489933563852EEDC
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
FileSize438958
MD5AEB7F7D1B953B4B6FE42E1B50548E194
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>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.2.1-1build2
SHA-1F54B9FC3DE4EB79DB2AB0427F046A93EE0720FB5
SHA-25646F21977991CB6849959A3A77754144E19DCDC79EEFEEE136A69EFFD83AF4E04