relaxed_sum_operator.py 2.11 KB
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# 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 <http://www.gnu.org/licenses/>.
#
# 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 ..compat import *
from ..utilities import my_sum
from .linear_operator import LinearOperator
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from ..sugar import domain_union
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from ..multi.multi_domain import MultiDomain
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from ..multi.multi_field import MultiField
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class RelaxedSumOperator(LinearOperator):
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    """Class representing sums of operators with compatible domains."""
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    def __init__(self, ops):
        super(RelaxedSumOperator, self).__init__()
        self._ops = ops
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        self._domain = domain_union([op.domain for op in ops])
        self._target = domain_union([op.target for op in ops])
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        self._capability = self.TIMES | self.ADJOINT_TIMES
        for op in ops:
            self._capability &= op.capability

    @property
    def domain(self):
        return self._domain

    @property
    def target(self):
        return self._target

    @property
    def adjoint(self):
        return RelaxedSumOperator([op.adjoint for op in self._ops])

    @property
    def capability(self):
        return self._capability

    def apply(self, x, mode):
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        self._check_input(x, mode)
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        res = None
        for op in self._ops:
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            tmp = op.apply(x.extract(op._dom(mode)), mode)
            res = tmp if res is None else res.unite(tmp)
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        return res