# 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) 2013-2019 Max-Planck-Society # # NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik. import numpy as np from ..domain_tuple import DomainTuple from ..domains.unstructured_domain import UnstructuredDomain from ..field import Field from .linear_operator import LinearOperator # MR FIXME: this needs a redesign to avoid most _global_data() calls # Possible approach: keep everything defined on `domain` distributed and only # collect the unstructured Fields. class MaskOperator(LinearOperator): """Implementation of a mask response Takes a field, applies flags and returns the values of the field in a :class:`UnstructuredDomain`. Parameters ---------- flags : Field Is converted to boolean. Where True, the input field is flagged. """ def __init__(self, flags): if not isinstance(flags, Field): raise TypeError self._domain = DomainTuple.make(flags.domain) self._flags = np.logical_not(flags.to_global_data()) self._target = DomainTuple.make(UnstructuredDomain(self._flags.sum())) self._capability = self.TIMES | self.ADJOINT_TIMES def apply(self, x, mode): self._check_input(x, mode) x = x.to_global_data() if mode == self.TIMES: res = x[self._flags] return Field.from_global_data(self.target, res) res = np.empty(self.domain.shape, x.dtype) res[self._flags] = x res[~self._flags] = 0 return Field.from_global_data(self.domain, res)