Result for 42B693E14BAF6FCF929A794B5F73C5534F4543D3

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/lrucacheextension.arm-linux-gnueabihf_d.so
FileSize86784
MD537D56251008AE0420A877C4C55FAEE6A
SHA-142B693E14BAF6FCF929A794B5F73C5534F4543D3
SHA-2563311DA2AAE1502E0BAD1F3D879B6B46064C15E504173A2C2F40EC0A51621B8B8
SSDEEP1536:lu4brBBAqkZPfbncnDzO0uRlzIuae3p0jGATmowwBfdHL4GmXSt/Dw:xbrBpkNfbcnDAU63Wj3T5wwBO
TLSHT177838D3AF6C60921C581F3BC74173827953AD49D77A29351A0F1D533B6E09A88F32DBA
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