Result for 224886F0979F579E396B3B89968384768131F0FC

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/linkextension.powerpc64le-linux-gnu_d.so
FileSize137168
MD5302325E5C3A3929642432324D55BF72B
SHA-1224886F0979F579E396B3B89968384768131F0FC
SHA-2560EBD42E92FEA8A911407D443E4777477B77FE64FFAC6F536D26040A6CD458AC1
SSDEEP1536:hMIrzopzXVFZrBMvCgs17GZqlk+xVd8Q52YtA+ONimbOW:hMFBr4vs17GZcHDtONim
TLSHT1BED3A4A5328C9F87DE00293F52ACE64976267C475B74E2836D14431FAF9EA0E8D6EC44
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
FileSize391312
MD52E4B7F826DFF17FDFCD022221CFF22C0
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-130DF4F20655A6EBEE0C8B47E7D21CB2FE46ECA90
SHA-256BB5BE6CCA0A8924CF793A8CD81044212E3FC62DAD6B743956008BCDFAA4D76AE