Result for 1929E1FE3DABC3CCDCA1BCF3408306B31B3EEC49

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5l.powerpc64le-linux-gnu.so
FileSize141016
MD52FC7D5265958D70DAF43D5AB3066E96B
SHA-11929E1FE3DABC3CCDCA1BCF3408306B31B3EEC49
SHA-2563C81DD6FFD271F7E90EF02E1303BC382BBC825A81B05B9525957AF51CB3EA7D7
SSDEEP1536:Q9nyRQF5yEV78BvLQJm2c8IRJDbECkKdIm2DONblxA9ZSrk:41X8BvLJ22WSNblxA9yk
TLSHT15BD3B5993E1DAB43DF41687F43AEE65236A139492760E6D37804C30F5F9FA1E4A4BD08
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
FileSize595128
MD5624F93A708B29AA120785E666522F91C
PackageDescriptiongeneral-purpose Python interface to hdf5 (Python 2) 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 2.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-h5py
PackageSectionpython
PackageVersion2.8.0-3
SHA-130F5458013005466C321C5E084569C7F3229F9F9
SHA-256E8B69938CBCDE5A629140390E29DC597F28C7C91442B741BCA03557C5416CC77