Result for 7DBE5046C2D7F583D7521522D7C6DE841D385E59

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/lrucacheextension.arm-linux-gnueabihf.so
FileSize70360
MD545CB30EE94D76186208BFC1617182332
SHA-17DBE5046C2D7F583D7521522D7C6DE841D385E59
SHA-256911C5F7F9616DCECF7228AAFD489D695D1D9E8BC45F1976DD76C79570F3FD965
SSDEEP1536:WAI3hJGxiNRZYmYU51xSxLh459hLBpxwpF79dqfNvMkFK9Hk4Gm/t/Dw:Wv3hJbDYixusVPxwn9dqVvMb
TLSHT1AD637D7AFF6BA433C482E4703851A781C22BE46233EB5B9E51D4D376F5C829F8E91590
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
FileSize378844
MD5153A17FDB37F8DCCE1E5EB956460C93F
PackageDescriptionhierarchical database for Python based on HDF5 (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 interpreter.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-tables-lib
PackageSectionpython
PackageVersion3.3.0-5
SHA-1279BE0390F83A22D3F81FD5BF492BA28D038A027
SHA-256B56ED36D43CB8FB75DA29EC3546C758D7EF9A07CC81282DDDE5B57B5C19155B1