Result for 1934878BF3C489432E32298244A9085D40F64DF9

Query result

Key Value
FileName./usr/lib/debug/.build-id/f0/5cd4bac0e7ae19ff0ac1856b4ed451d15c286c.debug
FileSize147840
MD532F9432DD39CE3D1A30881790F262DE4
SHA-11934878BF3C489432E32298244A9085D40F64DF9
SHA-256846B3E08C49BA2FFED659016F0D57C7080575AADE12DE1641DC73CE9616D9F3D
SSDEEP1536:hDorp2G5x+Zkr5gWwNC8MIf6Ou0Ba7QPqlCYJaWm3Rf0NHOhjKstpmqoN3eW0Dme:1oN2dkr2u8lGl3la50utpLvPLFKW
TLSHT176E3E0539E57E961CEEE7EF601D236D62721F04020F1D6A788B8CA941FB7784028BDD6
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