FM / numpy

/opt/alt/python27/lib64/python2.7/site-packages/numpy/

/opt/alt/python27/lib64/python2.7/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
polynomial/	-	0755	rm
random/	-	0755	rm
testing/	-	0755	rm
tests/	-	0755	rm
add_newdocs.py	223701	0644	edit dl rm
add_newdocs.pyc	290724	0644	edit dl rm
add_newdocs.pyo	290724	0644	edit dl rm
ctypeslib.py	14636	0644	edit dl rm
ctypeslib.pyc	14247	0644	edit dl rm
ctypeslib.pyo	14247	0644	edit dl rm
dual.py	1864	0644	edit dl rm
dual.pyc	2340	0644	edit dl rm
dual.pyo	2340	0644	edit dl rm
matlib.py	9584	0644	edit dl rm
matlib.pyc	10864	0644	edit dl rm
matlib.pyo	10864	0644	edit dl rm
setup.py	898	0644	edit dl rm
setup.pyc	1128	0644	edit dl rm
setup.pyo	1128	0644	edit dl rm
version.py	261	0644	edit dl rm
version.pyc	316	0644	edit dl rm
version.pyo	316	0644	edit dl rm
_globals.py	1851	0644	edit dl rm
_globals.pyc	2489	0644	edit dl rm
_globals.pyo	2489	0644	edit dl rm
_import_tools.py	13242	0644	edit dl rm
_import_tools.pyc	11569	0644	edit dl rm
_import_tools.pyo	11569	0644	edit dl rm
__config__.py	1769	0644	edit dl rm
__config__.pyc	1882	0644	edit dl rm
__config__.pyo	1882	0644	edit dl rm
__init__.py	6188	0644	edit dl rm
__init__.pyc	6187	0644	edit dl rm
__init__.pyo	6187	0644	edit dl rm

Edit: /opt/alt/python27/lib64/python2.7/site-packages/numpy/dual.py (1864B)

"""
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

"""
from __future__ import division, absolute_import, print_function

# 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: