Result for 281C02113FAEA0AD9D5B71775CB11FEE0EDECA36

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/_errors.cpython-34m-arm-linux-gnueabihf.so
FileSize27560
MD598B6DD16DFCA6D67B47995FC68E97B79
SHA-1281C02113FAEA0AD9D5B71775CB11FEE0EDECA36
SHA-25613C995774814968AC8A0A039D6DA8BC5A65F6F982B5C90CA4C62C767305A54AA
SSDEEP384:K6E6Y9I98DV6PfTJ2RFbmzvEXJiE32hInd6u0axm7QSQjz:Bs0Ym12RFkvgJ9ywdGbQP
TLSHT10BC2F95AF9CB4933DA40C93534D306244356C24C17D22B1BD4BC64676F8BABACF278EA
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
FileSize469700
MD5BCB35D4313C18768FDAB731067746B20
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-1F6CD5E7243D22C7BCD1715BD37BCBBEEEAE60728
SHA-2563DDD2A4E6A241B46A3F735620DA17577C3CBE7D7C2D19BDBAEDC25668F8B5460