Result for 19E1EB398E48FAEAAB8CA40D222263DD9F4D720D

Query result

Key Value
FileName./usr/lib/debug/.build-id/c4/54adc13b83b507c3c2843fa6687d6634b0145c.debug
FileSize228580
MD54AFAF72E16DF3256A984B31F1A9ED9C7
SHA-119E1EB398E48FAEAAB8CA40D222263DD9F4D720D
SHA-256085271C776789DAE115909E111CD3D16AE37C8E7A7AE4099EBDECB9DEBEF5098
SSDEEP3072:aD2nRjkAK+Z6aaS+fKV5FUOek+NA8hJb3xpKykcimtW+8jUZN0KypA6euuGqTvq:PRj/K+03lM5FJ3+66xp7Lt/8IZFiA6+
TLSHT15424CE666ACBBC69DBC5BFF1C612A3839261C0480A91CAC7AD4C458D7F7374AC943E53
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
FileSize4223736
MD5754428534FEC6221C4C3FAD296D811ED
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-102B1DEA5EF0302B35C6C410917F86FBBEB00660E
SHA-2565444BB413C3790BA948FAA97DAC41ABBBE208FF8BD128A33D8CD81F6A53B9AFC