Source: pytables
Section: python
Priority: optional
Maintainer: Francesc Altet <faltet@carabos.com>
Standards-Version: 3.6.2
Build-Depends: debhelper (>= 4.9.3), python, zlib1g-dev, liblzo-dev, libucl-dev, libbz2-dev, libhdf5-serial-dev, python2.3-dev, python2.4-dev, python2.3-numarray (>= 1.3), python2.4-numarray (>= 1.3)

Package: python-tables
Section: python
Architecture: all
Depends: python (>= 2.3), python (<< 2.4), python2.3-tables (= ${Source-Version})
Suggests: python-tables-doc, python-numeric
Description: hierarchical database for Python based on HDF5
 PyTables is a hierarchical database package designed to efficently
 manage very large amounts of data. PyTables is built on top of the
 HDF5 library and the numarray 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 both Numeric and numarray objects.
 .
 This Debian package is a mostly empty package that always depends on
 a package built for Debian's default Python version. Note, however,
 that the unit tests for pytables are here.
 .
  Homepage: http://pytables.sourceforge.net

Package: python2.3-tables
Architecture: any
Depends: python2.3-numarray (>= 1.3), python2.3, ${shlibs:Depends}
Description: hierarchical database for Python based on HDF5
 PyTables is a hierarchical database package designed to efficently
 manage very large amounts of data. PyTables is built on top of the
 HDF5 library and the numarray 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
    tables.
  - Very easy to select data through the use of iterators over the
    rows in tables. Extended slicing is supported as well.
  - It supports both Numeric and numarray objects.
 .
 This Debian package is built for Python 2.3.
 .
  Homepage: http://pytables.sourceforge.net
  
Package: python2.4-tables
Architecture: any
Depends: python2.4-numarray (>= 1.3), python2.4, ${shlibs:Depends}
Description: hierarchical database for Python based on HDF5
 PyTables is a hierarchical database package designed to efficently
 manage very large amounts of data. PyTables is built on top of the
 HDF5 library and the numarray 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
    tables.
  - Very easy to select data through the use of iterators over the
    rows in tables. Extended slicing is supported as well.
  - It supports both Numeric and numarray objects.
 .
 This Debian package is built for Python 2.4.
 .
  Homepage: http://pytables.sourceforge.net
  
Package: python-tables-doc
Section: doc
Architecture: all
Suggests: xpdf | pdf-viewer
Description: hierarchical database for Python based on HDF5 - documentation
 This package includes the manual in PDF and HTML formats.
 .
  Homepage: http://pytables.sourceforge.net
