Result for AD18A7F093892645A2CB41EF6A20B15A5AD4B23A

Query result

Key Value
FileName./usr/lib/python3/dist-packages/tables/hdf5extension.cpython-35m-mips64el-linux-gnuabi64.so
FileSize427112
MD50F704260981DAA3533C791336CB38E84
SHA-1AD18A7F093892645A2CB41EF6A20B15A5AD4B23A
SHA-2563F5923A7937CC17A7104097D9964B13C3E649C61DE49CBBE4702197716106BB9
SSDEEP6144:hfG+gozatsa3ONMH5ZMx76RC8aCjDODd1N/PEKPb:hfGqaeiH5Zu7cxyp1VP
TLSHT18C94F9A4AF8A0F67D8D8CEF52C2961A7252D6DF7292081711DAC9039276F5DF8BC3C05
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
FileSize305012
MD58D037F0E0BC638662189AA572405CC03
PackageDescriptionhierarchical database for Python3 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 3 interpreter.
PackageMaintainerDebian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
PackageNamepython3-tables-lib
PackageSectionpython
PackageVersion3.3.0-5
SHA-122CEEC47EE15C72E18FF7932B8B45C0923FB2651
SHA-2565099DA4DC13DDB98F72EED882E6C8F6F5226BAA0A6569B0C0421878B9FCE48FD