Source: python-numeric
Section: python
Priority: optional
Maintainer: Matthias Klose <doko@debian.org>
Build-Depends:  python-all-dev (>= 2.3.5-11), python-all-dbg, debhelper (>= 5.0.37.2), python-central (>= 0.5), quilt
Build-Conflicts:  batlas-base-dev, atlas3-base, atlas3-base-dev, python-setuptools
XS-Python-Version: all
Standards-Version: 3.7.3

Package: python-numeric
Architecture: any
Depends: ${python:Depends}, ${shlibs:Depends}
Suggests: python-numeric-tutorial (>= 20.0), python-numeric-ext, python-numeric-dbg
Conflicts: python2-numeric, python2.3-numeric, python2.4-numeric, python2.5-numeric (<< ${binary:Version})
Replaces: python2-numeric, python2.3-numeric, python2.4-numeric, python2.5-numeric (<< ${binary:Version})
Provides: ${python:Provides}
XB-Python-Version: ${python:Versions}
Description: Numerical (matrix-oriented) Mathematics for Python
 This package is now deprecated, please use the python-numpy package
 for developing new software.
 .
 The Numeric Extensions to Python (NumPy) add powerful
 multi-dimensional array objects to the wonderful general purpose
 programming language Python. These new objects give Python the number
 crunching power of numeric languages like Matlab and IDL while
 maintaining all of the advantages of the general-purpose programming
 language Python.
 .
 These extensions add two new object types to Python, and then include
 a number of extensions that take advantage of these two new objects:
 .
  - Multidimensional Array Objects
    * Efficient arrays of homogeneous machine types (floats, longs,
      complex doubles)
    * Arbitrary number of dimensions
    * Sophisticated structural operations
  - Universal Function Objects
    * Support mathematical functions on all Python objects
    * Very efficient for array objects

Package: python-numeric-dbg
Priority: extra
Architecture: any
Depends: python-numeric (= ${binary:Version}), python-dbg, ${shlibs:Depends}
Description: Numerical (matrix-oriented) Mathematics for Python (debug extension)
 The Numeric Extensions to Python (NumPy) add powerful
 multi-dimensional array objects to the wonderful general purpose
 programming language Python. These new objects give Python the number
 crunching power of numeric languages like Matlab and IDL while
 maintaining all of the advantages of the general-purpose programming
 language Python.
 .
 This package contains the extension built for the Python debug interpreter.

Package: python2.5-numeric
Architecture: any
Depends: python-numeric (= ${binary:Version})
Description: Numerical (matrix-oriented) Mathematics for Python
 This package is now deprecated, please use the python-numeric package
 for developing new software.

Package: python2.5-numeric-dev
Architecture: any
Depends: python-numeric (= ${binary:Version})
Description: Development files for Numeric Python
 This package is now deprecated, please use the python-numeric package
 for developing new software.

Package: python-numeric-ext
Architecture: any
Depends: ${python:Depends}, python-numeric (= ${binary:Version}), ${shlibs:Depends}
Conflicts: python2-numeric-ext, python2.3-numeric-ext, python2.4-numeric-ext
Replaces: python2-numeric-ext, python2.3-numeric-ext, python2.4-numeric-ext
Provides: ${python:Provides}
XB-Python-Version: ${python:Versions}
Description: Extension modules for Numeric Python
 This package is now deprecated, please use the python-numpy package
 for developing new software.
 .
 Simple interfaces to existing numerical libraries:
   * Linear Algebra (LAPACK)
   * Fourier Transforms (FFTPACK)
   * Random Arrays (RANLIB)
   * Independent Random Streams (RNG, ranf)
   * Masked Arrays (MA)

Package: python-numeric-ext-dbg
Priority: extra
Architecture: any
Depends: python-numeric-ext (= ${binary:Version}), python-numeric-dbg (= ${binary:Version}), python-dbg, ${shlibs:Depends}
Description: Extension modules for Numeric Python
 Simple interfaces to existing numerical libraries:
   * Linear Algebra (LAPACK)
   * Fourier Transforms (FFTPACK)
   * Random Arrays (RANLIB)
   * Independent Random Streams (RNG, ranf)
   * Masked Arrays (MA)
 .
 This package contains the extension built for the Python debug interpreter.

Package: python-numeric-tutorial
Section: doc
Architecture: all
Depends: ${python:Depends}, python-numeric (>= ${source:Version}), python-numeric (<< ${source:Version}.1~), python-tk
Recommends: python-imaging-tk (>= 1.1.5-11), python-egenix-mxdatetime, xpdf-reader | pdf-viewer
Suggests: python-imaging-doc
Conflicts: python2-numeric-tutorial
Replaces: python2-numeric-tutorial
XB-Python-Version: all
Description: Tutorial for the Numerical Python Library
 This package is now deprecated, please use the python-numpy package
 for developing new software.
 .
 The Numeric Extensions to Python (NumPy) add powerful
 multi-dimensional array objects to the wonderful general purpose
 programming language Python. These new objects give Python the number
 crunching power of numeric languages like Matlab and IDL while
 maintaining all of the advantages of the general-purpose programming
 language Python.

