mirror of
https://github.com/PiBrewing/craftbeerpi4.git
synced 2024-11-27 09:18:02 +01:00
69 lines
1.8 KiB
Python
69 lines
1.8 KiB
Python
"""
|
|
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 : https://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("{} not a dual function.".format(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("{} not a dual function.".format(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)
|