Result for 127C672D9AE776285264A3E9D5421C670C19B97E

Query result

Key Value
FileName./usr/lib/debug/.build-id/fd/eb910ae856efee987709d3f13bc2f22941a566.debug
FileSize63192
MD52EC968550E6F9DBCC08834BD21F786C2
SHA-1127C672D9AE776285264A3E9D5421C670C19B97E
SHA-256347BABA827D86A91A584A25CA470FCF48DD1B9786BC7FE2D326D52FA4F31A236
SSDEEP768:+nCpPIT69dWtUCtV9CMQu7FU6B/+uRgoPFWtQGNTbqkfPbtuqPlyypFEPvKx6naU:xITUd+VCu7FUtQYTBfJuYcCxIMRUPt
TLSHT18553E06BB5556C4BCEEC3AF108D707329366EE461120D3E3FA4DA4628B32358DE13E49
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
FileSize4781788
MD55718BA1562943688D610E617A1D78EF4
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-16BE65A9FF4A477FE399B04B1B211B64CAA563D06
SHA-2567209687084F15865C05E03C6816B27B94434F3CFCE4AB2EB4FB625CEA7199622