test_field.py 4.62 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/>.
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#
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# Copyright(C) 2013-2018 Max-Planck-Society
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#
# NIFTy is being developed at the Max-Planck-Institut fuer Astrophysik
# and financially supported by the Studienstiftung des deutschen Volkes.
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import unittest
import numpy as np
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from numpy.testing import assert_equal, assert_allclose
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from itertools import product
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import nifty4 as ift
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from test.common import expand
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SPACES = [ift.RGSpace((4,)), ift.RGSpace((5))]
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SPACE_COMBINATIONS = [(), SPACES[0], SPACES[1], SPACES]
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class Test_Interface(unittest.TestCase):
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    @expand(product(SPACE_COMBINATIONS,
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                    [['domain', ift.DomainTuple],
                     ['val', ift.dobj.data_object],
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                     ['shape', tuple],
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                     ['size', (np.int, np.int64)]]))
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    def test_return_types(self, domain, attribute_desired_type):
        attribute = attribute_desired_type[0]
        desired_type = attribute_desired_type[1]
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        f = ift.Field.full(domain, 1.)
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        assert_equal(isinstance(getattr(f, attribute), desired_type), True)
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def _spec1(k):
    return 42/(1.+k)**2


def _spec2(k):
    return 42/(1.+k)**3


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class Test_Functionality(unittest.TestCase):
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    @expand(product([ift.RGSpace((8,), harmonic=True),
                     ift.RGSpace((8, 8), harmonic=True, distances=0.123)],
                    [ift.RGSpace((8,), harmonic=True),
                     ift.LMSpace(12)]))
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    def test_power_synthesize_analyze(self, space1, space2):
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        np.random.seed(11)
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        p1 = ift.PowerSpace(space1)
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        fp1 = ift.PS_field(p1, _spec1)
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        p2 = ift.PowerSpace(space2)
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        fp2 = ift.PS_field(p2, _spec2)
        outer = np.outer(fp1.to_global_data(), fp2.to_global_data())
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        fp = ift.Field.from_global_data((p1, p2), outer)
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        op1 = ift.create_power_operator((space1, space2), _spec1, 0)
        op2 = ift.create_power_operator((space1, space2), _spec2, 1)
        opfull = op2*op1

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        samples = 500
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        sc1 = ift.StatCalculator()
        sc2 = ift.StatCalculator()
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        for ii in range(samples):
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            sk = opfull.draw_sample()
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            sp = ift.power_analyze(sk, spaces=(0, 1),
                                   keep_phase_information=False)
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            sc1.add(sp.sum(spaces=1)/fp2.sum())
            sc2.add(sp.sum(spaces=0)/fp1.sum())
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        assert_allclose(sc1.mean.local_data, fp1.local_data, rtol=0.2)
        assert_allclose(sc2.mean.local_data, fp2.local_data, rtol=0.2)
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    @expand(product([ift.RGSpace((8,), harmonic=True),
                     ift.RGSpace((8, 8), harmonic=True, distances=0.123)],
                    [ift.RGSpace((8,), harmonic=True),
                     ift.LMSpace(12)]))
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    def test_DiagonalOperator_power_analyze2(self, space1, space2):
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        np.random.seed(11)

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        fp1 = ift.PS_field(ift.PowerSpace(space1), _spec1)
        fp2 = ift.PS_field(ift.PowerSpace(space2), _spec2)
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        S_1 = ift.create_power_operator((space1, space2), _spec1, 0)
        S_2 = ift.create_power_operator((space1, space2), _spec2, 1)
        S_full = S_2*S_1
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        samples = 500
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        sc1 = ift.StatCalculator()
        sc2 = ift.StatCalculator()
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        for ii in range(samples):
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            sk = S_full.draw_sample()
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            sp = ift.power_analyze(sk, spaces=(0, 1),
                                   keep_phase_information=False)
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            sc1.add(sp.sum(spaces=1)/fp2.sum())
            sc2.add(sp.sum(spaces=0)/fp1.sum())
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        assert_allclose(sc1.mean.local_data, fp1.local_data, rtol=0.2)
        assert_allclose(sc2.mean.local_data, fp2.local_data, rtol=0.2)
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    def test_vdot(self):
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        s = ift.RGSpace((10,))
        f1 = ift.Field.from_random("normal", domain=s, dtype=np.complex128)
        f2 = ift.Field.from_random("normal", domain=s, dtype=np.complex128)
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        assert_allclose(f1.vdot(f2), f1.vdot(f2, spaces=0))
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        assert_allclose(f1.vdot(f2), np.conj(f2.vdot(f1)))
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    def test_vdot2(self):
        x1 = ift.RGSpace((200,))
        x2 = ift.RGSpace((150,))
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        m = ift.Field.full((x1, x2), .5)
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        res = m.vdot(m, spaces=1)
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        assert_allclose(res.local_data, 37.5)