Result for 04A0F780009D89ADF9CF56A9F1F6D05FFA9771E3

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5l.so
FileSize63264
MD53A1D0B1BD0BE77072215D1A15B61DE49
SHA-104A0F780009D89ADF9CF56A9F1F6D05FFA9771E3
SHA-256CADE7D78FFAD1CE0E621DDFBF83228F5DC3BD6EEFF70C31A904FFB049BB040ED
SSDEEP1536:s+5zA9SmPrkr35av/G5/k5wtKdxtwkz9qi:sBHs3cva/k0gxtwkz9qi
TLSHT15E530A66A55540FDC27DA731C9C7C6A36CB07C69423417BA34DCEA342F93E641B2EE28
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize511422
MD5B5D190703D0DD2F6CC40110632D488D0
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-14D5AA7846DBD657880790C2F621AF350340442CF
SHA-25616CF3CCF1E3B7D931FBCB3C74C30484C4EB55229626BB807CC43572DDD0A66BC