Result for 061FDA8589D7A9E71F62812680E71440835D6973

Query result

Key Value
FileName./usr/lib/python3/dist-packages/tables/tests/test_tables.py
FileSize251000
MD574B39CE3D1229D0AE91E92D8E134A74A
SHA-1061FDA8589D7A9E71F62812680E71440835D6973
SHA-2566EBF5B07B352D5EB5348143C39A3F8CC09BE898533C0DF1044F2BA48D36895EC
SSDEEP6144:atM8MiSHbZ+LAEDEEEAYmfyuTronMh3ivZFhldsc/aNq1:6M8MiSHbZWAEDEEEAYmfyuTronOFNq1
TLSHT1D83423208A527DA4D303D96D89AFA62B1B1B6E131C4C20357ABE4A483F54535D2FDEFC
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
FileSize319044
MD5DFCE9CB9E702006A13AC165466384A4C
PackageDescriptionhierarchical database for Python3 based on HDF5 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 is the Python 3 version of the package.
PackageMaintainerUbuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageNamepython3-tables
PackageSectionpython
PackageVersion3.1.1-0ubuntu1
SHA-13E808D4F0A8D414C457E2FF60A1DFD6252A618C1
SHA-256B9951218F7102DF395806718CFE7A2D219DC136C6D5268A6DEF212AF2EE1432C