Commit d6a40b95 authored by Martin Reinecke's avatar Martin Reinecke
Browse files

put tests in their correct location

parent 2da0de8b
Pipeline #12380 passed with stage
in 6 minutes and 2 seconds
...@@ -17,24 +17,18 @@ ...@@ -17,24 +17,18 @@
# along with this program. If not, see <http://www.gnu.org/licenses/>. # along with this program. If not, see <http://www.gnu.org/licenses/>.
import unittest import unittest
import numpy as np import numpy as np
from numpy.testing import assert_equal,\ from numpy.testing import assert_equal,\
assert_allclose assert_allclose
from nifty.config import dependency_injector as di from nifty.config import dependency_injector as di
from nifty import Field,\ from nifty import Field,\
RGSpace,\ RGSpace,\
LMSpace,\ LMSpace,\
HPSpace,\ HPSpace,\
GLSpace,\ GLSpace,\
PowerSpace,\ FFTOperator
FFTOperator,\
SmoothingOperator
from itertools import product from itertools import product
from test.common import expand from test.common import expand
from nose.plugins.skip import SkipTest from nose.plugins.skip import SkipTest
...@@ -54,7 +48,7 @@ def _get_rtol(tp): ...@@ -54,7 +48,7 @@ def _get_rtol(tp):
return 1e-5 return 1e-5
class Misc_Tests(unittest.TestCase): class FFTOperatorTests(unittest.TestCase):
@expand(product([10, 11], [False, True], [0.1, 1, 3.7])) @expand(product([10, 11], [False, True], [0.1, 1, 3.7]))
def test_RG_distance_1D(self, dim1, zc1, d): def test_RG_distance_1D(self, dim1, zc1, d):
foo = RGSpace([dim1], zerocenter=zc1, distances=d) foo = RGSpace([dim1], zerocenter=zc1, distances=d)
...@@ -160,53 +154,3 @@ class Misc_Tests(unittest.TestCase): ...@@ -160,53 +154,3 @@ class Misc_Tests(unittest.TestCase):
v1 = np.sqrt(out.dot(out)) v1 = np.sqrt(out.dot(out))
v2 = np.sqrt(inp.dot(fft.adjoint_times(out))) v2 = np.sqrt(inp.dot(fft.adjoint_times(out)))
assert_allclose(v1, v2, rtol=tol, atol=tol) assert_allclose(v1, v2, rtol=tol, atol=tol)
@expand(product([100, 200], [1, 0.4], [0., 1., 3.7],
[np.float64, np.complex128]))
def test_smooth_regular1(self, sz, d, sigma, tp):
tol = _get_rtol(tp)
sp = RGSpace(sz, harmonic=True, distances=d)
smo = SmoothingOperator(sp, sigma=sigma)
inp = Field.from_random(domain=sp, random_type='normal', std=1, mean=4,
dtype=tp)
out = smo(inp)
inp = inp.val.get_full_data()
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)
sp = RGSpace([sz1, sz2], distances=[d1, d2], harmonic=True)
smo = SmoothingOperator(sp, sigma=sigma)
inp = Field.from_random(domain=sp, random_type='normal', std=1, mean=4,
dtype=tp)
out = smo(inp)
inp = inp.val.get_full_data()
assert_allclose(inp.sum(), out.sum(), rtol=tol, atol=tol)
@expand(product([100, 200], [False, True], [0., 1., 3.7],
[np.float64, np.complex128]))
def test_smooth_irregular1(self, sz, log, sigma, tp):
tol = _get_rtol(tp)
sp = RGSpace(sz, harmonic=True)
ps = PowerSpace(sp, nbin=sz, logarithmic=log)
smo = SmoothingOperator(ps, sigma=sigma)
inp = Field.from_random(domain=ps, random_type='normal', std=1, mean=4,
dtype=tp)
out = smo(inp)
inp = inp.val.get_full_data()
assert_allclose(inp.sum(), out.sum(), rtol=tol, atol=tol)
@expand(product([10, 15], [7, 10], [False, True], [0., 1., 3.7],
[np.float64, np.complex128]))
def test_smooth_irregular2(self, sz1, sz2, log, sigma, tp):
tol = _get_rtol(tp)
sp = RGSpace([sz1, sz2], harmonic=True)
ps = PowerSpace(sp, logarithmic=log)
smo = SmoothingOperator(ps, sigma=sigma)
inp = Field.from_random(domain=ps, random_type='normal', std=1, mean=4,
dtype=tp)
out = smo(inp)
inp = inp.val.get_full_data()
assert_allclose(inp.sum(), out.sum(), rtol=tol, atol=tol)
# NIFTy
# Copyright (C) 2017 Theo Steininger
#
# Author: Theo Steininger
#
# 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/>.
import unittest
import numpy as np
from numpy.testing import assert_equal,\
assert_allclose
from nifty.config import dependency_injector as di
from nifty import Field,\
RGSpace,\
PowerSpace,\
SmoothingOperator
from itertools import product
from test.common import expand
def _get_rtol(tp):
if (tp == np.float64) or (tp == np.complex128):
return 1e-10
else:
return 1e-5
class Misc_Tests(unittest.TestCase):
@expand(product([100, 200], [1, 0.4], [0., 1., 3.7],
[np.float64, np.complex128]))
def test_smooth_regular1(self, sz, d, sigma, tp):
tol = _get_rtol(tp)
sp = RGSpace(sz, harmonic=True, distances=d)
smo = SmoothingOperator(sp, sigma=sigma)
inp = Field.from_random(domain=sp, random_type='normal', std=1, mean=4,
dtype=tp)
out = smo(inp)
inp = inp.val.get_full_data()
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)
sp = RGSpace([sz1, sz2], distances=[d1, d2], harmonic=True)
smo = SmoothingOperator(sp, sigma=sigma)
inp = Field.from_random(domain=sp, random_type='normal', std=1, mean=4,
dtype=tp)
out = smo(inp)
inp = inp.val.get_full_data()
assert_allclose(inp.sum(), out.sum(), rtol=tol, atol=tol)
@expand(product([100, 200], [False, True], [0., 1., 3.7],
[np.float64, np.complex128]))
def test_smooth_irregular1(self, sz, log, sigma, tp):
tol = _get_rtol(tp)
sp = RGSpace(sz, harmonic=True)
ps = PowerSpace(sp, nbin=sz, logarithmic=log)
smo = SmoothingOperator(ps, sigma=sigma)
inp = Field.from_random(domain=ps, random_type='normal', std=1, mean=4,
dtype=tp)
out = smo(inp)
inp = inp.val.get_full_data()
assert_allclose(inp.sum(), out.sum(), rtol=tol, atol=tol)
@expand(product([10, 15], [7, 10], [False, True], [0., 1., 3.7],
[np.float64, np.complex128]))
def test_smooth_irregular2(self, sz1, sz2, log, sigma, tp):
tol = _get_rtol(tp)
sp = RGSpace([sz1, sz2], harmonic=True)
ps = PowerSpace(sp, logarithmic=log)
smo = SmoothingOperator(ps, sigma=sigma)
inp = Field.from_random(domain=ps, random_type='normal', std=1, mean=4,
dtype=tp)
out = smo(inp)
inp = inp.val.get_full_data()
assert_allclose(inp.sum(), out.sum(), rtol=tol, atol=tol)
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