Result for FAC736DFE494F72CB0CE63F8B92BC5189E116F03

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/lrucacheextension.mips-linux-gnu.so
FileSize110808
MD5D84EBA9B2BA4824D36C1CD78478EAD3A
SHA-1FAC736DFE494F72CB0CE63F8B92BC5189E116F03
SHA-256F9C90E221B86E13D29D43F7DA0D6AB8F6EFB871FFBD7B89AE0DF04918EFACC20
SSDEEP1536:kqh5iuu3pk126kGoUmsNoCHbYLsB2f+1CEcwVjj88nrL84FTsnrlNTNhggVxq4jG:kI5i/3sR7wEcwFu4FeRsEoj
TLSHT1B3B3D50277318F29F114EF7044738ADB276441A338D0A6D292EDE61CBAC1F6C9E57E69
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
FileSize316052
MD5F93228217C70404F5E92CE22FBD908B4
PackageDescriptionhierarchical database for Python based on HDF5 (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 interpreter.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython-tables-lib
PackageSectionpython
PackageVersion3.3.0-5
SHA-11FB80B76730D0BCDA2B828AD396FF4DCBE0FBECC
SHA-25632AA4600D936AB8F04DC4640AA6D29B21D92364FC264D78C9A957903E9801873