Result for 1F34697FC946F3C58B2D7D80CDB7C9EC6289B459

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/h5py/utils.i386-linux-gnu.so
FileSize42808
MD5A831B1AE2D5519CCF198113AC03B423F
SHA-11F34697FC946F3C58B2D7D80CDB7C9EC6289B459
SHA-25663C28EBE2E82404F4590C2BD03837246639A3CD99243689D83383643600EE0E1
SSDEEP768:pqKfTRlHCRm0RUiUdrSvyJmLq6G96F23LEB66y7wnP7AoZF/ZFhMDpnfWzcAKhpH:prtomwQdSsgKnhKnEkuPsoB6vctx
TLSHT1A5132A13A3C6C8B5E3A7097083431B36A5B1A204D1BFF5D2BA497B953E263157E33729
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
FileSize550772
MD5A3344C67E359F8FC996C278ABC6142AE
PackageDescriptiongeneral-purpose Python interface to hdf5 (Python 2) 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. . This package provides the modules for Python 2.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython-h5py
PackageSectionpython
PackageVersion2.7.1-2
SHA-10FBE51CEFC3A5084D01B3FA2E45BBEDA53DC316B
SHA-2562AA53F712ED6624E13A2A3EF6DBA78E2718B10D3A40C623D3F6834BEA6378C52