Result for 1EC1601B32F0074A6013E650A4244ECA6C81F199

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5s.so
FileSize76320
MD5E3000633B52540C8C2496A9383B1CBE7
SHA-11EC1601B32F0074A6013E650A4244ECA6C81F199
SHA-2568A71695F527532D5096B48A105454E6468E8B7A46A69D3F3BE63020DCB78F184
SSDEEP1536:rEtHGY18Tmvydby33rouDFClZwuY/ByUaf9P3/PSVqin9Pp94B3uke22ICxY8TOJ:rEF42ViZwuY/Bo9XSVqin9Pp94B3uzYb
TLSHT17E73F80BF746C672E6B54DB407C64A722B209216D1A3D3E1F50DFBA93F25311BF262A4
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
FileSize493810
MD573FEC70D6D5D5CC9198D515E539E7A74
PackageDescriptionh5py is a general-purpose Python interface to hdf5 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.
PackageMaintainerSoeren Sonnenburg <sonne@debian.org>
PackageNamepython-h5py
PackageSectionpython
PackageVersion2.2.1-1.1+b1
SHA-18ACF012722B63C06E8F8995AA162134F92A8C790
SHA-256C339A4623BA8FAEA6CF7F7C57ED8617A11711372B9E839D5917CA0D2BCB3EB43