Source: symeig
Section: python
Priority: optional
Maintainer: Yaroslav Halchenko <debian@onerussian.com>
Build-Depends: cdbs (>=0.4.49), debhelper (>= 5.0.38)
Standards-Version: 3.8.3
Vcs-Browser: http://git.onerussian.com/?p=symeig
Vcs-git: http://git.onerussian.com/vcs/symeig
Homepage: http://mdp-toolkit.sourceforge.net/symeig.html

Package: python-symeig
Architecture: all
Depends: ${shlibs:Depends}, ${misc:Depends}, python-scipy (>=0.7.0~)
Description: Symmetrical eigenvalue routines for NumPy
 A Python wrapper for the LAPACK functions to solve the standard and
 generalized eigenvalue problems for symmetric (hermitian) positive definite
 matrices. Those specialized algorithms give an important speed-up with respect
 to the generic LAPACK eigenvalue problem solver used by NumPy (linalg.eig and
 linalg.eigh).
 .
 This is dummy transitional package -- please use scipy's scipy.linalg.eigh
 for symeig functionality.

Package: python-symeig-dbg
Architecture: all
Section: debug
Priority: extra
Depends: ${misc:Depends}, python-symeig (= ${binary:Version})
Description: Symmetrical eigenvalue routines for NumPy (debug symbols)
 A Python wrapper for the LAPACK functions to solve the standard and
 generalized eigenvalue problems for symmetric (hermitian) positive definite
 matrices. Those specialized algorithms give an important speed-up with respect
 to the generic LAPACK eigenvalue problem solver used by NumPy (linalg.eig and
 linalg.eigh).
 .
 This is dummy transitional package -- please use scipy's scipy.linalg.eigh
 for symeig functionality.