Result for 0AE92D7F847B63B417624B92CA9B5F2585A92162

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/hdf5extension.arm-linux-gnueabi_d.so
FileSize466696
MD5498BF2DAD2F9104CC2B957B6F778F3B7
SHA-10AE92D7F847B63B417624B92CA9B5F2585A92162
SHA-256307DED817C29413C81A3E7964550937682CBD6D00ED7697BABDB33E5B04937AC
SSDEEP12288:qsd1UHyGk/1d5AhTYTuX/cZ+gAqStgnjbmtc27:j/1d5AhETq/itAqSOnut
TLSHT196A4E69ADD00DF62C1C4297A735DAAAD75138339D1CE665F4E6087B13BB24B60E2BF40
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
FileSize451518
MD5A7B69B07A8CE05748B12563F8FE53561
PackageDescriptionhierarchical database for Python based on HDF5 (debug extension) PyTables is a hierarchical database package designed to efficiently manage very large amounts of data. PyTables is built on top of the HDF5 library and the NumPy package. It features an object-oriented interface that, combined with natural naming and C-code generated from Pyrex sources, makes it a fast, yet extremely easy to use tool for interactively save and retrieve large amounts of data. . - Compound types (records) can be used entirely from Python (i.e. it is not necessary to use C for taking advantage of them). - The tables are both enlargeable and compressible. - I/O is buffered, so you can get very fast I/O, specially with large tables. - Very easy to select data through the use of iterators over the rows in tables. Extended slicing is supported as well. - It supports the complete set of NumPy, Numeric and numarray objects. . This package contains the extension built for the Python 2 debug interpreter.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-tables-dbg
PackageSectiondebug
PackageVersion3.3.0-5
SHA-11E957202D2BA250379B77DA4125D665870308E3B
SHA-25687E345D4677737D3E648A404EB60D7F8351C56C260C74BC75D500FE983C5F287