test_smoothing_operator.py 3.17 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
# 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/>.
Theo Steininger's avatar
Theo Steininger committed
13
14
15
16
17
#
# Copyright(C) 2013-2017 Max-Planck-Society
#
# NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik
# and financially supported by the Studienstiftung des deutschen Volkes.
18
19
20

import unittest
import numpy as np
Martin Reinecke's avatar
Martin Reinecke committed
21
from numpy.testing import assert_allclose
Martin Reinecke's avatar
Martin Reinecke committed
22
import nifty2go as ift
23
from itertools import product
24
from test.common import expand
25
26
27
28
29
30
31
32


def _get_rtol(tp):
    if (tp == np.float64) or (tp == np.complex128):
        return 1e-10
    else:
        return 1e-5

Martin Reinecke's avatar
Martin Reinecke committed
33

34
class SmoothingOperator_Tests(unittest.TestCase):
Martin Reinecke's avatar
Martin Reinecke committed
35
    spaces = [ift.RGSpace(128)]
36

37
38
    @expand(product(spaces, [0., .5, 5.]))
    def test_property(self, space, sigma):
Martin Reinecke's avatar
Martin Reinecke committed
39
        op = ift.FFTSmoothingOperator(space, sigma=sigma)
40
41
        if op.domain[0] != space:
            raise TypeError
Martin Reinecke's avatar
Martin Reinecke committed
42
        if op.unitary:
43
            raise ValueError
Martin Reinecke's avatar
Martin Reinecke committed
44
        if not op.self_adjoint:
45
46
            raise ValueError

47
48
    @expand(product(spaces, [0., .5, 5.]))
    def test_adjoint_times(self, space, sigma):
Martin Reinecke's avatar
Martin Reinecke committed
49
50
51
        op = ift.FFTSmoothingOperator(space, sigma=sigma)
        rand1 = ift.Field.from_random('normal', domain=space)
        rand2 = ift.Field.from_random('normal', domain=space)
Martin Reinecke's avatar
Martin Reinecke committed
52
53
        tt1 = rand1.vdot(op.times(rand2))
        tt2 = rand2.vdot(op.adjoint_times(rand1))
54
        assert_allclose(tt1, tt2)
55

56
57
    @expand(product(spaces, [0., .5, 5.]))
    def test_times(self, space, sigma):
Martin Reinecke's avatar
Martin Reinecke committed
58
59
        op = ift.FFTSmoothingOperator(space, sigma=sigma)
        rand1 = ift.Field.zeros(space)
60
61
        rand1.val[0] = 1.
        tt1 = op.times(rand1)
62
        assert_allclose(1, tt1.sum())
63

64
    @expand(product([128, 256], [1, 0.4], [0., 1.,  3.7],
65
66
67
                    [np.float64, np.complex128]))
    def test_smooth_regular1(self, sz, d, sigma, tp):
        tol = _get_rtol(tp)
Martin Reinecke's avatar
Martin Reinecke committed
68
69
70
71
        sp = ift.RGSpace(sz, distances=d)
        smo = ift.FFTSmoothingOperator(sp, sigma=sigma)
        inp = ift.Field.from_random(domain=sp, random_type='normal', std=1,
                                    mean=4, dtype=tp)
72
73
74
75
76
77
78
        out = smo(inp)
        assert_allclose(inp.sum(), out.sum(), rtol=tol, atol=tol)

    @expand(product([10, 15], [7, 10], [1, 0.4], [2, 0.3], [0., 1.,  3.7],
                    [np.float64, np.complex128]))
    def test_smooth_regular2(self, sz1, sz2, d1, d2, sigma, tp):
        tol = _get_rtol(tp)
Martin Reinecke's avatar
Martin Reinecke committed
79
80
81
82
        sp = ift.RGSpace([sz1, sz2], distances=[d1, d2])
        smo = ift.FFTSmoothingOperator(sp, sigma=sigma)
        inp = ift.Field.from_random(domain=sp, random_type='normal', std=1,
                                    mean=4, dtype=tp)
83
84
        out = smo(inp)
        assert_allclose(inp.sum(), out.sum(), rtol=tol, atol=tol)