# 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
import numpy as np
from .. import utilities
from ..compat import *
from ..domain_tuple import DomainTuple
from ..field import Field
from .linear_operator import LinearOperator
class DomainDistributor(LinearOperator):
def __init__(self, target, spaces):
self._target = DomainTuple.make(target)
self._spaces = utilities.parse_spaces(spaces, len(self._target))
self._domain = [tgt for i, tgt in enumerate(self._target)
if i in self._spaces]
self._domain = DomainTuple.make(self._domain)
self._capability = self.TIMES | self.ADJOINT_TIMES
def apply(self, x, mode):
self._check_input(x, mode)
if mode == self.TIMES:
ldat = x.local_data if 0 in self._spaces else x.to_global_data()
shp = []
for i, tgt in enumerate(self._target):
tmp = tgt.shape if i > 0 else tgt.local_shape
shp += tmp if i in self._spaces else(1,)*len(tgt.shape)
ldat = np.broadcast_to(ldat.reshape(shp), self._target.local_shape)
return Field.from_local_data(self._target, ldat)
else:
return x.sum([s for s in range(len(x.domain))
if s not in self._spaces])