Result for 01C1C168269696075ECDFD2D34FB836D1D73DFA9

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/_debian_h5py_serial/h5s.cpython-38-x86_64-linux-gnu.so
FileSize106776
MD58576EE455C7877A8666A8863D271A91E
SHA-101C1C168269696075ECDFD2D34FB836D1D73DFA9
SHA-25632C14703FF57BBB8BD04B2653A6DA2DD6FD80AFE7EDED2B1B3DC0C1EA75D9EA8
SSDEEP3072:qtIOCfWDROxMB7nE4YHDvM1c8/MTlE6bzX4Y:8FoUjEHHDvM1c8/MTlEQzP
TLSHT174A3182FB85204BCC0F894358EDB51629761F0668530FB9F398C5A353F92B649F3AE58
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
FileSize665652
MD52F63C2B80D63FB3E200BCDE703EFD9B9
PackageDescriptiongeneral-purpose Python interface to hdf5 (Python 3 serial) 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, built for serial (single processor) jobs.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-h5py-serial
PackageSectionpython
PackageVersion2.10.0-9
SHA-1D7BB80DBEC72D4B3A4D9C4764EFB045C4D374818
SHA-256F75F717FF074873E79DC0FE4B79E70C1E840D2A3B267A92BA9CBDF8CBC4EABC3