Result for 23677F94EF2EC6B3850504D00B692677753CD5D2

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/defs.cpython-35dm-powerpc64le-linux-gnu.so
FileSize937856
MD57A4B7BDC37AD24AE305A501E95D08F36
SHA-123677F94EF2EC6B3850504D00B692677753CD5D2
SHA-256099DC412D4049EC21660E9C65BC97E43D1DFC68C407B18FFE679FDED22905053
SSDEEP12288:v8PftwGBQ1rwfAC9lzNj2Xs40wFw0rnj:ubuqwgwFw0r
TLSHT14215B6613B08DC8AFBD9717EA2FA6225B332F9056340DB576A05433D6E637118E0EB4D
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
FileSize4486340
MD5E8B79771B05EE3CF29B8F55074880626
PackageDescriptiondebug extension 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 h5py for the Python 3 debug interpreter.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py-dbg
PackageSectiondebug
PackageVersion2.7.0-1
SHA-17A85187BFE810FD1523490C416848E7BE82EE33E
SHA-2564A23D85AB96F97C1C275BB8A824507B3297EE2BBE9DC8B6D35155AD9A8F9E643