# 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 .. import dobj from ..compat import * from ..domain_tuple import DomainTuple from ..domains.log_rg_space import LogRGSpace from ..field import Field from .endomorphic_operator import EndomorphicOperator from .. import utilities class SymmetrizingOperator(EndomorphicOperator): def __init__(self, domain, space=0): self._domain = DomainTuple.make(domain) self._space = utilities.infer_space(self._domain, space) dom = self._domain[self._space] if not (isinstance(dom, LogRGSpace) and not dom.harmonic): raise TypeError("nonharmonic LogRGSpace needed") @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) for i in self._domain.axes[self._space]: 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