Result for 00CB93730AE0BF189EF1FE51A391AE431C70F08B

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/tableextension.powerpc64le-linux-gnu_d.so
FileSize409288
MD53CA7B32E1D085E4D83C057CD09591BA7
SHA-100CB93730AE0BF189EF1FE51A391AE431C70F08B
SHA-256DF5E65B84E3F66EF80228A7DFE5A4EA2AD3AAA6E929743F724A5ECA9EAF78C4A
SSDEEP6144:VMVwGa7Ibn54ainwn+1bFhG0uFWmypl9mHlxr4NsS9yP+fGUIl9F6z6dNTBWYuUu:KK7IdTVr6yLtZdPZ
TLSHT1F294E724364CA783DB012A3F53BEF56A751178541778A6CBBD08032FDF8C71A4A6F929
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