Result for 0315CA11EEEC568E744F81C23A954AC703BD8A12

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5ds.i386-linux-gnu.so
FileSize61296
MD53A6A37A15B24AA1FBC5C3C252475A4DC
SHA-10315CA11EEEC568E744F81C23A954AC703BD8A12
SHA-2567D52968486184809251081BA900186950DA20245CFB3D250E535223B0680DC82
SSDEEP1536:OxXzt7m/sa4wOxsEaAZdG/qMxsFdOqYfa9WGgow/5z0/FXSOhemS:OxDE/2jvGCMAYfa91PbS
TLSHT169531A4BE7C7CAF2D1BA19F813859B393D244205E093C9D9A60CAEC975762163F1E3B4
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
FileSize488064
MD518F3909CA397A9E3BC736CD8AA673F1D
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 h5py for the Python 2 interpreter.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-h5py
PackageSectionpython
PackageVersion2.6.0-1
SHA-1322F4EAACD18CA0E07D276C9F24BEC9C8178F711
SHA-25624B3274D9BF4A364F99FE8974ED79C061F501B034DD91B286468AA17E1697FFA