Result for 268327B7DB9C0068B72083DB55BE1B608EBEE038

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/defs.cpython-35dm-s390x-linux-gnu.so
FileSize813704
MD5B0CA217E7DACDE90E39550F6B9B68DAD
SHA-1268327B7DB9C0068B72083DB55BE1B608EBEE038
SHA-256D7E39F2FEE223CF09081FE18BF0E0AB317F4BD4D3206010A603EA86C7D66E520
SSDEEP6144:R8pUsr1N4rGp0ZRVLWBry31Z70LOlz5d6Z79/wInPft5XcIW3Cffan6RCHVvYWUv:R86sWGp0PVqpq1ZBQCvFU4kbpWU1j
TLSHT1FD05FA40D305A696FDFA373BDA259372C73222203249E45BBF9ED6180E23F54CE299D5
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