Result for 7760D8553E16B12E08871FFFA8FCC4ED13F64E94

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/utilsextension.powerpc64le-linux-gnu_d.so
FileSize415864
MD53398DBC05E8A5E84507CA66EB39582B5
SHA-17760D8553E16B12E08871FFFA8FCC4ED13F64E94
SHA-2569B5C98F555018AEDAB2538DB1C2C71907B5D0B120CC88F5632223C4D11FD51F7
SSDEEP6144:0NeGbl5vZKvCLVUgL3ZMls846wqWRwKBUjHuRvfN/7gmPHsXK8K:0QGxPv/xd
TLSHT1EB94E566370D1B83DB012A7F13BEF686712578850770B6C3BD89531F9F5DB2A8A2B811
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