test_field.py 3.81 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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#
# 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.
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import unittest

import numpy as np
from numpy.testing import assert_,\
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                          assert_equal,\
                          assert_almost_equal
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from itertools import product
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from nifty import Field,\
                  RGSpace,\
                  FieldArray

from d2o import distributed_data_object,\
                STRATEGIES

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from test.common import expand
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np.random.seed(123)

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SPACES = [RGSpace((4,)), 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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                    [['distribution_strategy', str],
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                     ['domain', tuple],
                     ['domain_axes', tuple],
                     ['val', distributed_data_object],
                     ['shape', tuple],
                     ['dim', np.int],
                     ['dof', np.int],
                     ['total_volume', np.float]]))
    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 = Field(domain=domain)
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        assert_(isinstance(getattr(f, attribute), desired_type))

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    def test_hermitian_decomposition0(self):
        s1=(25,)
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        s2=(16,)
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        r1 = RGSpace(s1, harmonic=True)
        r2 = RGSpace(s2, harmonic=True)
        ra = RGSpace(s1+s2, harmonic=True)
        v = np.random.random(s1+s2) + 1j*np.random.random(s1+s2)
        f1=Field(ra,val=v,copy=True)
        f2=Field((r1,r2),val=v,copy=True)
        h1,a1 = Field._hermitian_decomposition((ra,),f1.val,(0,),((0,1,),),False)
        h2,a2 = Field._hermitian_decomposition((r1,r2),f2.val,(0,1),((0,),(1,)),False)
        h3,a3 = Field._hermitian_decomposition((r1,r2),f2.val,(1,0),((0,),(1,)),False)
        assert_almost_equal(h1.get_full_data(),h2.get_full_data())
        assert_almost_equal(a1.get_full_data(),a2.get_full_data())
        assert_almost_equal(h1.get_full_data(),h3.get_full_data())
        assert_almost_equal(a1.get_full_data(),a3.get_full_data())
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    @expand(product([False,True],[False,True]))
    def test_hermitian_decomposition1(self, complexdata, preserve):
        s0=(1,)
        s1=(56,25)
        r0 = RGSpace(s0, harmonic=True)
        r1 = RGSpace(s1, harmonic=True)
        ra = RGSpace(s0+s1, harmonic=True)
        v = np.random.random(s1)
        if (complexdata):
            v = v + 1j*np.random.random(s1)
        f1=Field(r1,val=v,copy=True)
        f2=Field((r0,r1),val=v,copy=True)
        h1,a1 = Field._hermitian_decomposition((r1,),f1.val,(0,),((0,1,),),preserve)
        h2,a2 = Field._hermitian_decomposition((r0,r1),f2.val,(0,1),((0,),(1,2)),preserve)
        h2=h2[0,:,:]
        a2=a2[0,:,:]
        assert_almost_equal(h1.get_full_data(),h2.get_full_data())
        assert_almost_equal(a1.get_full_data(),a2.get_full_data())

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#class Test_Initialization(unittest.TestCase):
#
#    @parameterized.expand(
#        itertools.product(SPACE_COMBINATIONS,
#                          []
#                          )
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#    def test_