Result for 778AC83EBEFCC46A9EAAABC118A97EDE1B6F5906

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/utilsextension.s390x-linux-gnu_d.so
FileSize432264
MD55D161E807FC5B4956A1346EBDC426EA9
SHA-1778AC83EBEFCC46A9EAAABC118A97EDE1B6F5906
SHA-25620FFEBF632168E5FCB50818ACCDD15ABE0A8FBEF715826AB2F1FE2FF19081E24
SSDEEP6144:npl8NNyjJ3mFE0ShO8Q2C8zC5XS5Vmu0hjYZiOrvV3KwefwCeS4a:nplYyjJaNSIoDLep
TLSHT1DC946186921483D0C5F87633EAEF6771E22724743BDD968C4BEDCB721CA1B95871122E
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
FileSize463836
MD5254C3E4D0A984C1B84E02B395810D8CF
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-1227532B16AC3EA5D1FC26712DC48583C936FAF47
SHA-25606453DC74ADBBE4039B5EACE2E92B1A825A74651D176CF9C1603AEC2DA81D0DE