Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/tables/lrucacheextension.cpython-35m-mips64el-linux-gnuabi64.so |
FileSize | 114816 |
MD5 | 530001F247A39C152F5B2AE02F2F51D7 |
SHA-1 | D965C4E7A23D465B28BB9856C2F58A6A0D7AAA11 |
SHA-256 | 77D4124E160E081E52B275B11C8E541E51D742FBCE40C4FF7E864CA03853DED8 |
SSDEEP | 1536:2RrT1QcQw/x4hAdvC4SchQl4S2keaGFEFCK6iF8zDSaeVKsUVt5q69XN746xBC16:2owvrS0qF2/oCK6iF8z+Jl8D |
TLSH | T1E4B3D8D4BBC91E67C4D58EF68E3DA1A6367C0ED9652006315DCC55B92B2F98E0BC3C0A |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
FileSize | 305012 |
MD5 | 8D037F0E0BC638662189AA572405CC03 |
PackageDescription | hierarchical 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. |
PackageMaintainer | Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python3-tables-lib |
PackageSection | python |
PackageVersion | 3.3.0-5 |
SHA-1 | 22CEEC47EE15C72E18FF7932B8B45C0923FB2651 |
SHA-256 | 5099DA4DC13DDB98F72EED882E6C8F6F5226BAA0A6569B0C0421878B9FCE48FD |