Result for 1056C03A000C644045C0B8540FF799B35B70BBED

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/_proxy.cpython-35m-aarch64-linux-gnu.so
FileSize35200
MD5F8B3D73C53D5F7CD37EA9F005CB4C769
SHA-11056C03A000C644045C0B8540FF799B35B70BBED
SHA-25602A8DAF328BC03E560AC8E1250A3280F7B19E0BB938C43C702BDA9381B91E72F
SSDEEP384:d4GD80iFtmzTo5ANxTGpFIOPyEDpFxXsgyw0tQRlgqhpZelD/WDMIYqnYbxrdhn8:BDUFwnmANoyEDv7yMRP8kHYbddBYBqb
TLSHT1D9F2071DBE8EAC77D786523C8F869A343723B41CA35487B2225E43457BC32DED93581A
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
FileSize485456
MD5E6CCCCF38D1D53095DC7CACDCD9CCD41
PackageDescriptiongeneral-purpose Python interface to hdf5 (Python 3) 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 3 interpreter.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.7.0-1
SHA-142B01D18BF4AF8F7B432FCE159F5878E30D57F3D
SHA-2561F96EF860617AB226B02B56E1981303EA390B721E5B19EABDEECAE4AF0C1B5A5