Result for 265E5FDDD49EF44402F32B3397E5EBBDDACC1016

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/h5o.so
FileSize49416
MD5686D9B38A582197B052D634B9CBDFD84
SHA-1265E5FDDD49EF44402F32B3397E5EBBDDACC1016
SHA-256F2FCC12D5A07F22AF4384A8BA3CBED60B5C476032A68A15D0B4B3E4003AB7B76
SSDEEP768:sECBxpBVWKIL/t9gbbL04asiNI0VapAR05/WVo+uTxOjMt3ig1g7ztQCUs:E3i9gbxaE0Vu5+Vo+uTxOjMt3ig14I
TLSHT172236C85FA7795A3D1C58EB130D28B40CB01D20D22D6C35B60FC89656F87AA9CD7ADF4
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
FileSize479484
MD587FBFFEE0640D45CB9B448C13388100F
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-17191F181458EF97ED5A29660C6FF8F2A5E0450AF
SHA-2567A9849590567D7FA6DF8555FB72DFF80EAF6241EAEEE63CEA9033F15F52DCCD9