Result for 0479983B7FAABEF2673C82FBB614FA777B49E860

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/h5p.cpython-36m-i386-linux-gnu.so
FileSize280744
MD5568E3902966CAE9E05F7E655890631E3
SHA-10479983B7FAABEF2673C82FBB614FA777B49E860
SHA-256C27C5DFF956E63607F6E975C20D7AFEE30146BD194C95B18FDEF427CD937BB1C
SSDEEP6144:Y13E5aq3e/4QlmcT8QHKpwDUYleb9qQB5iwTPWTMn1lPEdPNle4WT:m8o5T8QqpwDUYleb9q25iwTPWTMn1lPY
TLSHT19E54C529A6CBC8F1D1F30CF25B935A39E8884201F157D853F59E18C56FA33613E66AE1
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
FileSize557012
MD57A02E6693E8E75A4553A798A52E80D4E
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.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.7.1-2
SHA-1E87B067E890B49B449DE097D4687C8B4F5482A03
SHA-2561B04C0BCF161089C18C7ECD1071AF7133E808006AC1B8EC8BFB2C7736A3DC1A1