Result for 3BFA50F5A5E6F849AF13CEABB7785189E32B07AD

Query result

Key Value
FileName./usr/lib/python2.7/dist-packages/tables/hdf5extension.arm-linux-gnueabihf.so
FileSize278224
MD5593FA2BA6FE2CAA0EB960F7539F9AE65
SHA-13BFA50F5A5E6F849AF13CEABB7785189E32B07AD
SHA-256BD804D99B7E3C16FF41EAE5DE46B1623E6139692764C0D0046F4485D0C49F0C8
SSDEEP6144:dfJwaURUhsejFDWbYWFhjMpqOtvX6PkEpYuxnBa4bz:dfMUCsDWNFh47X6XXxn
TLSHT1C3448E9EF657ED72C5D3F5B53CA28B80C90FD08D33920F1B88D94572FAC999882A81D5
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
FileSize378844
MD5153A17FDB37F8DCCE1E5EB956460C93F
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-1279BE0390F83A22D3F81FD5BF492BA28D038A027
SHA-256B56ED36D43CB8FB75DA29EC3546C758D7EF9A07CC81282DDDE5B57B5C19155B1