Result for 0537356686DCF0CAE68ED8F61861E4945859F07B

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/h5r.cpython-37dm-mips-linux-gnu.so
FileSize285224
MD536CD90DBAA6BA7A3820AC86917B2BC69
SHA-10537356686DCF0CAE68ED8F61861E4945859F07B
SHA-256E46CEC1727665B3A8858DA6E3A39DBCFBA94B965152E24E81150F6B9B18B5FEB
SSDEEP3072:8o41e7MV9u+pQy7fSh++IynaxlUUWKFfQh1HAB/Jk2UBzPT3rYwOVcMbaHtCsC2j:oe7sqh3IXUb4atLzrYmMbaHgkRmmb
TLSHT1C9545B66F669DF4DE1C0DA789CE74BDF773092A2210E01A755ACB2169B217C4CC03BE6
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
FileSize11615212
MD51CF284C853B12BAA4C030102F2582B8F
PackageDescriptiondebug extensions for h5py (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 the debug extensions for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py-dbg
PackageSectiondebug
PackageVersion2.8.0-3
SHA-1052A1572E85852576E8D0E0C3B25D70EAB4913FF
SHA-2563FB4E877BE3E1FF11185DF08D78DA13A17734CE26F53E20F34FA301F9C34728D