Result for F503B7243A6BDB5BB0EE6C8D4A51FCD277C16E60

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/_comp_bzip2.arm-linux-gnueabihf_d.so
FileSize18040
MD57139CD43B58F3B0FAE2AAF63C3B26AA5
SHA-1F503B7243A6BDB5BB0EE6C8D4A51FCD277C16E60
SHA-256DBDCC0FA69CA0D630825E742C515FF58412DEA7A8E1843CBB985CE84769AEA42
SSDEEP192:i80+wEsIO8pKzm8wqUmIWUU/3vK0Dt0vixyeHGCxeBlubgMRMkpec9vTzz1MX3oD:iZksI/tqUE6vsyeHGh3u7ccAo
TLSHT144820866FA42CA72D8D0BE38F4778F0F66A4808C66558792B01B64503FC3D939E61F69
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
FileSize472814
MD5A63E3D1168F75826761B19504E316612
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-1193FB237110CFEB519F7EBC5C3675793572BBBB0
SHA-256CCCE8C43FEFEB1EAF4AB7A694A41195520CCB342FAEC1DFDFAAA971D5A9FC509