Result for 07041F34D38C1BBFB3708D256C6FFE16619899E2

Query result

Key Value
FileName./usr/lib/python3/dist-packages/h5py/h5.cpython-34m-arm-linux-gnueabi.so
FileSize50764
MD522804339A98816E4593E60D9EFD9E554
SHA-107041F34D38C1BBFB3708D256C6FFE16619899E2
SHA-2569E8B5395B68E4D27A494EA3DF6C8C05F586327623F13C004BD13413777C1A502
SSDEEP768:rcYTKSgz3GJszls3hRhes5/8mia8adEehsp5oc79dDNjFDevJPrBW3qyNDWmPS3F:rcz3cdknZspsUP1+ldmbGa
TLSHT14A33B456E501CBB7C2C41AB6B26E8B45F3474B3D81D627860D286CD87F9B4F98E2790C
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
FileSize449678
MD55241DDAEEA8584C0C9E4955FA3CD58CF
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-165CCF44C7A739FC38B2F9AF1114C2645A8A5FD09
SHA-25692B8C01BE56F9C55C9A46D5D5833322C445E437DAA652D600739A966860F4AE4