Result for 60EE5BB438612340170D22277E23ED345BEE8628

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/linkextension.arm-linux-gnueabihf_d.so
FileSize56816
MD58223112854772487720EB801D87997B9
SHA-160EE5BB438612340170D22277E23ED345BEE8628
SHA-256CB73BE93E2D570E3B73C95EB3A414B2249253A86A06A0BF819A197BB5EF6E415
SSDEEP768:uowZ3ttLgu06fGn/B9w0fuUgQ1yjoUdU/yyHBguSJU4V+UwMJP5+tF3G304i:urxh0JOWuUgQQwyMgumU4V+UwAoW30Z
TLSHT129435CB4F1858035CF8ADABBB5538D07F722C4DD3791C727A2E505832AC11995E2BEB8
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