Result for 1C4F873341F480D2CD3D4F13436B79449A6520ED

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/h5g.cpython-34m-x86_64-linux-gnu.so
FileSize86720
MD55EB1A23A3EE3502F82DB3F004F3A613B
SHA-11C4F873341F480D2CD3D4F13436B79449A6520ED
SHA-256B73CBD2136A71B1D7B0094563B5A95FE37C10BA4FB8C20447582AA1CACF8E0E3
SSDEEP1536:bo73W1NegNnvnMXV0dUrhg9thF1dnI8LD4ttfzqnI:bo78dNEXV6VLdI8Qzq
TLSHT1C983E75AF47150BCC23996308997C5B76DB1BB25832017BE3488D9302F53A6F2B7FA64
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
FileSize501922
MD553AD53ABD8C4A47F1904546BA94B11F4
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-13D7D0D4E8C38A2C49C2CCCD0789CD37139B6ADF6
SHA-25690A4F1E5A385F80A2BA43333120D93EB68E0B3BC59C904ACCE6139148259540A