FM / numpy

/usr/lib64/python2.6/site-packages/numpy/

/usr/lib64/python2.6/site-packages/numpy

Name	Size	Mode	Actions
compat/	-	0755	rm
core/	-	0755	rm
distutils/	-	0755	rm
doc/	-	0755	rm
fft/	-	0755	rm
lib/	-	0755	rm
linalg/	-	0755	rm
ma/	-	0755	rm
matrixlib/	-	0755	rm
numarray/	-	0755	rm
oldnumeric/	-	0755	rm
polynomial/	-	0755	rm
random/	-	0755	rm
testing/	-	0755	rm
tests/	-	0755	rm
add_newdocs.py	159331	0644	edit dl rm
add_newdocs.pyc	214910	0644	edit dl rm
add_newdocs.pyo	214910	0644	edit dl rm
ctypeslib.py	12373	0644	edit dl rm
ctypeslib.pyc	12192	0644	edit dl rm
ctypeslib.pyo	12192	0644	edit dl rm
dual.py	1783	0644	edit dl rm
dual.pyc	2173	0644	edit dl rm
dual.pyo	2173	0644	edit dl rm
matlib.py	9331	0644	edit dl rm
matlib.pyc	10465	0644	edit dl rm
matlib.pyo	10465	0644	edit dl rm
setup.py	945	0644	edit dl rm
setup.pyc	1056	0644	edit dl rm
setup.pyo	1056	0644	edit dl rm
setupscons.py	1486	0644	edit dl rm
setupscons.pyc	1632	0644	edit dl rm
setupscons.pyo	1632	0644	edit dl rm
version.py	575	0644	edit dl rm
version.pyc	634	0644	edit dl rm
version.pyo	634	0644	edit dl rm
_import_tools.py	12888	0644	edit dl rm
_import_tools.pyc	11248	0644	edit dl rm
_import_tools.pyo	11248	0644	edit dl rm
__config__.py	1499	0644	edit dl rm
__config__.pyc	1624	0644	edit dl rm
__config__.pyo	1624	0644	edit dl rm
__init__.py	4875	0644	edit dl rm
__init__.pyc	5084	0644	edit dl rm
__init__.pyo	5084	0644	edit dl rm

Edit: /usr/lib64/python2.6/site-packages/numpy/dual.py (1783B)

"""
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

"""
# This module should be used for functions both in numpy and scipy if
#  you want to use the numpy version if available but the scipy version
#  otherwise.
#  Usage  --- from numpy.dual import fft, inv

__all__ = ['fft','ifft','fftn','ifftn','fft2','ifft2',
           'norm','inv','svd','solve','det','eig','eigvals',
           'eigh','eigvalsh','lstsq', 'pinv','cholesky','i0']

import numpy.linalg as linpkg
import numpy.fft as fftpkg
from numpy.lib import i0
import sys

fft = fftpkg.fft
ifft = fftpkg.ifft
fftn = fftpkg.fftn
ifftn = fftpkg.ifftn
fft2 = fftpkg.fft2
ifft2 = fftpkg.ifft2

norm = linpkg.norm
inv = linpkg.inv
svd = linpkg.svd
solve = linpkg.solve
det = linpkg.det
eig = linpkg.eig
eigvals = linpkg.eigvals
eigh = linpkg.eigh
eigvalsh = linpkg.eigvalsh
lstsq = linpkg.lstsq
pinv = linpkg.pinv
cholesky = linpkg.cholesky

_restore_dict = {}

def register_func(name, func):
    if name not in __all__:
        raise ValueError, "%s not a dual function." % name
    f = sys._getframe(0).f_globals
    _restore_dict[name] = f[name]
    f[name] = func

def restore_func(name):
    if name not in __all__:
        raise ValueError, "%s not a dual function." % name
    try:
        val = _restore_dict[name]
    except KeyError:
        return
    else:
        sys._getframe(0).f_globals[name] = val

def restore_all():
    for name in _restore_dict.keys():
        restore_func(name)

cmd: