# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see .
#
# Copyright(C) 2013-2018 Max-Planck-Society
#
# NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik
# and financially supported by the Studienstiftung des deutschen Volkes.
from __future__ import absolute_import, division, print_function
from ..compat import *
from ..domain_tuple import DomainTuple
from ..field import Field
from .endomorphic_operator import EndomorphicOperator
from .. import dobj
# MR FIXME: we should make sure that the domain is a harmonic RGSpace, correct?
class SymmetrizingOperator(EndomorphicOperator):
def __init__(self, domain):
self._domain = DomainTuple.make(domain)
self._ndim = len(self.domain.shape)
@property
def domain(self):
return self._domain
def apply(self, x, mode):
self._check_input(x, mode)
tmp = x.val.copy()
ax = dobj.distaxis(tmp)
globshape = tmp.shape
for i in range(self._ndim):
lead = (slice(None),)*i
if i == ax:
tmp = dobj.redistribute(tmp, nodist=(ax,))
tmp2 = dobj.local_data(tmp)
tmp2[lead+(slice(1, None),)] -= tmp2[lead+(slice(None, 0, -1),)]
if i == ax:
tmp = dobj.redistribute(tmp, dist=ax)
return Field(self.target, val=tmp)
@property
def capability(self):
return self.TIMES | self.ADJOINT_TIMES