Result for 0C3A1AC3F9CBCF56CA808FC668ACC84A4064E50B

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/utils.so
FileSize39692
MD599551ED7F2FBA4EE766927F1AA58EE4B
SHA-10C3A1AC3F9CBCF56CA808FC668ACC84A4064E50B
SHA-2561739D3A978EE2C5CDE89F430D7066402765930DBDD39CAFB17F1C06B886B12FB
SSDEEP768:uXBlpwIuNFjtANOG8cpgeZEwoWveUZCbB6Dv3x/fqWrO82RJ4P7HMIOWE4ZMaCxW:2cN7c5EJswNJE7HMP8b
TLSHT12603D686E941DB72C1D42B7673CA4F1AF3035B3985D72B464D2068E47BAB9F90D37A08
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
FileSize457142
MD561089C2126E054DC9E688755F0CC30B1
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>
PackageNamepython-h5py
PackageSectionpython
PackageVersion2.2.1-1.1+b1
SHA-127CD2D6FA454BAB374F4309AA8529218E66468A7
SHA-256564838FFDFEA9D95701D42D45E73926EE64BC2FF68888955F3966C717C1C7359