Result for 06DB0AF1299552A1081B54012740531D4015DDFB

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/h5p.cpython-37m-arm-linux-gnueabihf.so
FileSize268424
MD5B80A56630E3730E71739310F8B4CB048
SHA-106DB0AF1299552A1081B54012740531D4015DDFB
SHA-2561ED379B3AC8B1524AA9CD73627CC577252F94CB02B699256F8267BA704B42B56
SSDEEP6144:y1CZI1LMXvSnHjGG047RsX8ZwRTBzw0xXvTNleIWjr:yEWZM3w0Rv
TLSHT138444A4AF9079C32C663D83235AB87468247D00E33A19A9F74DC07B2F7CA65DD3E9685
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
FileSize833792
MD51686D170D33180EFCA18059FE3D2C72F
PackageDescriptiongeneral-purpose Python interface to hdf5 (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 modules for Python 3.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.8.0-3
SHA-168398C2604594263D3682CA53E73CF4EF32A7958
SHA-2560F0B297F026E7AF66027675D7BFCE38D6105F7B4E75409D0D463B2AC9B03CC95