Result for 928987F0D1802251E9C6BE8B732CD0BB457AD0EE

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/lrucacheextension.s390x-linux-gnu_d.so
FileSize151592
MD5742F14B94EE2BD177B6B9E1C54EB1664
SHA-1928987F0D1802251E9C6BE8B732CD0BB457AD0EE
SHA-256C63FE084DF76225EB286AF78AFD90748E9910F09214485FEEF213A8AED7E3800
SSDEEP3072:Yh6fnJ7Xls7polUDc1mtd9vmIDLWEBmWtFNS:dRa7po2OmrNmIDLWEBm2
TLSHT1F6E37582921093D2C9B87737CA9F26B1E227343533CAA95C4BE9DF561CB1F65871432E
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