Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/tables/indexesextension.cpython-35m-mips64el-linux-gnuabi64.so |
FileSize | 157328 |
MD5 | A1DEA8EA14A57945E4CAD7114EFB2FC6 |
SHA-1 | 1B691DD29C312E87F7E0FBE30512F169F82CAFE5 |
SHA-256 | 899D6EEDBE610047C46DE3AB058CC69FB4030A86CEC5621CB797B230E1A7839D |
SSDEEP | 1536:PEKcLct18+xAtZWgl7tzLE9+sqrmVQUcEs+q9fYpsrQGxwYJgx16ewBvpZ+hEUOb:MMRytfEbJg9QpsrQuwIgDwdp4ckB |
TLSH | T120F30A6AAB431F5BCCD98EF2951983EB357D0CD1636186235A6C0979730F99E0BD3C09 |
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 |