Result for 16E3D1694B43EB8BCC7645520E2FDBA052A25B05

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/_conv.cpython-34m-i386-linux-gnu.so
FileSize35136
MD532D3C039CD43C6585F02B42312EA6A06
SHA-116E3D1694B43EB8BCC7645520E2FDBA052A25B05
SHA-2561FD770F4071948095D0D8E78B1EA779E45CBA06916B5F17CEFC420CE682D0F08
SSDEEP768:N50AeEAfTRlHCd4U8Q1lUf4EMxbPm/OVAbLhc8+lDwf9vqHy:hbAtS4Ku4EcbPmGVfDwf9
TLSHT1E3F21A17E797E473F2A21AB94787C6255471C105B6A3E7E3BA097B8E2932300BF64734
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
FileSize483422
MD5451B6A6F312AAE98F7CA2A138351259C
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>
PackageNamepython3-h5py
PackageSectionpython
PackageVersion2.2.1-1.1+b1
SHA-1A6EE62D33D77E89D7CFBAE2E9409FD94976BD244
SHA-256B342194B93FC80F1493C7570B7F4F118CB225CEFC4DC61F26BBD3474C352E3FC