Result for 0CF80E97AD044F3A613090C7F21B9174DFDC5A14

Query result

Key Value
FileName./usr/lib/debug/.build-id/5e/d10497d7c437a2a7ac3f220ece5f4a54dedb2f.debug
FileSize94196
MD59B728FE64A3C3DAE0838CA0C98301550
SHA-10CF80E97AD044F3A613090C7F21B9174DFDC5A14
SHA-2567E48920CB6499886F87E190FEFE928D52A9EEF22E2717C6C8B6A6CCD8AA30628
SSDEEP1536:qqnBPGUawMlwDg1VM1vpcHXGcAtN6/ISX6Y6gjH7xDqNMSyFuWp4gSwU:ztVY6CMVqM6/ISXxjbxHVuWZLU
TLSHT17A93E1602F83F83BD5E9ADB4C4A3D3A00B94C5C48A949BCB25CD87390B7A7185E17A57
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