# 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
import pytest
from numpy.testing import assert_allclose, assert_equal, assert_raises
import nifty5 as ift
def test_get_signal_variance():
space = ift.RGSpace(3)
hspace = space.get_default_codomain()
spec1 = lambda x: np.ones_like(x)
assert_equal(ift.get_signal_variance(spec1, hspace), 3.)
space = ift.RGSpace(3, distances=1.)
hspace = space.get_default_codomain()
def spec2(k):
t = np.zeros_like(k)
t[k == 0] = 1.
return t
assert_equal(ift.get_signal_variance(spec2, hspace), 1/9.)