Result for 09AA705A58AA6B4E1A80206FCDCCCCE16B851719

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5ds.x86_64-linux-gnu.so
FileSize83928
MD570111B7695394B69131311C8686F7B10
SHA-109AA705A58AA6B4E1A80206FCDCCCCE16B851719
SHA-256B23C1324A706732A0E7EFCE9A534CA7867621098FDEC8962CB1AFAC1E50A0C72
SSDEEP1536:4mqdK0Bg2pu07zEMRHcKTy7p2iVFYmwegYRGqYoR60Ai:4mhh2pfUlKT+2iVFYLqYoR6b
TLSHT103831C2B257264BCC235E834CAD786B61F71FC5582217BEA20E8DD342F82D612F5F625
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
FileSize692516
MD51205ECD894593438350BDA7BE356C32B
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-1119A4CFF2013818B7E70A17FC875C66B01A58C79
SHA-256E1B4A5AF87D8BF314976CDDCF1467D5E03E3C2AF781FAFB04E9D68CEA930AECC