| Current File : //usr/lib64/python2.7/site-packages/numpy/dual.pyc |
�
E�`Qc @ sF d Z d d d d d d d d d d
d d d
d d d d d d g Z d d l j Z d d l j Z d d l m Z d d l
Z
e j Z e j Z e j Z e j
Z
e j Z e j Z e j Z e j Z e j Z e j Z e j Z e j Z e j Z e j Z e j Z e j Z e j Z e j Z i Z d � Z d � Z d � Z d S( sx
Aliases for functions which may be accelerated by Scipy.
Scipy_ can be built to use accelerated or otherwise improved libraries
for FFTs, linear algebra, and special functions. This module allows
developers to transparently support these accelerated functions when
scipy is available but still support users who have only installed
Numpy.
.. _Scipy : http://www.scipy.org
t fftt ifftt fftnt ifftnt fft2t ifft2t normt invt svdt solvet dett eigt eigvalst eight eigvalsht lstsqt pinvt choleskyt i0i����N( R c C sM | t k r t d | � � n t j d � j } | | t | <| | | <d S( Ns %s not a dual function.i ( t __all__t
ValueErrort syst _getframet f_globalst
_restore_dict( t namet funct f( ( s0 /usr/lib64/python2.7/site-packages/numpy/dual.pyt
register_func2 s
c C s\ | t k r t d | � � n y t | } Wn t k
rA d SX| t j d � j | <d S( Ns %s not a dual function.i ( R R R t KeyErrorR R R ( R t val( ( s0 /usr/lib64/python2.7/site-packages/numpy/dual.pyt restore_func9 s
c C s% x t j � D] } t | � q
Wd S( N( R t keysR ( R ( ( s0 /usr/lib64/python2.7/site-packages/numpy/dual.pyt restore_allC s ( t __doc__R t numpy.linalgt linalgt linpkgt numpy.fftR t fftpkgt numpy.libR R R R R R R R R R R R
R R R
R R R R R R R R! ( ( ( s0 /usr/lib64/python2.7/site-packages/numpy/dual.pyt <module> s: