Result for E298E990612661E2A551CE0DBDA949C4F989215A

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/utilsextension.arm-linux-gnueabihf_d.so
FileSize247840
MD577A67ACC633AE2F5B137F058CE66B189
SHA-1E298E990612661E2A551CE0DBDA949C4F989215A
SHA-256575DDBBC0DD4CC5234E1FEFB58476B944DE3DF622C8D5F11A7C9254F945EFBFF
SSDEEP6144:6GiSFxxctpjR86/J1DbTfXg9vW9mWy0BXEaGf:6xuKpjR8UJ1Dvf0Obdg
TLSHT1C2349D77F9810C21DB97FBBA74438D19D61AC48F6329C91724E905827782198CFABEF1
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