Source code for nifty8.operators.value_inserter
# 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) 2013-2019 Max-Planck-Society
#
# NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik.
import numpy as np
from ..domain_tuple import DomainTuple
from ..field import Field
from .linear_operator import LinearOperator
[docs]
class ValueInserter(LinearOperator):
"""Inserts one value into a field which is zero otherwise.
Parameters
----------
target : Domain, tuple of Domain or DomainTuple
index : iterable of int
The index of the target into which the value of the domain shall be
inserted.
"""
[docs]
def __init__(self, target, index):
self._domain = DomainTuple.scalar_domain()
self._target = DomainTuple.make(target)
index = tuple(index)
if not all([
isinstance(n, int) and n >= 0 and n < self.target.shape[i]
for i, n in enumerate(index)
]):
raise TypeError
if not len(index) == len(self.target.shape):
raise ValueError
self._index = index
self._capability = self.TIMES | self.ADJOINT_TIMES
# Check whether index is in bounds
np.empty(self.target.shape)[self._index]
[docs]
def apply(self, x, mode):
self._check_input(x, mode)
x = x.val
if mode == self.TIMES:
res = np.zeros(self.target.shape, dtype=x.dtype)
res[self._index] = x
return Field(self._tgt(mode), res)
else:
return Field.scalar(x[self._index])