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ift
NIFTy
Commits
d6a40b95
Commit
d6a40b95
authored
May 12, 2017
by
Martin Reinecke
Browse files
put tests in their correct location
parent
2da0de8b
Pipeline
#12380
passed with stage
in 6 minutes and 2 seconds
Changes
2
Pipelines
1
Hide whitespace changes
Inline
Side-by-side
test/test_
misc
.py
→
test/test_
operators/test_fft_operator
.py
View file @
d6a40b95
...
...
@@ -17,24 +17,18 @@
# 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
,
\
LMSpace
,
\
HPSpace
,
\
GLSpace
,
\
PowerSpace
,
\
FFTOperator
,
\
SmoothingOperator
FFTOperator
from
itertools
import
product
from
test.common
import
expand
from
nose.plugins.skip
import
SkipTest
...
...
@@ -54,7 +48,7 @@ def _get_rtol(tp):
return
1e-5
class
Misc_
Tests
(
unittest
.
TestCase
):
class
FFTOperator
Tests
(
unittest
.
TestCase
):
@
expand
(
product
([
10
,
11
],
[
False
,
True
],
[
0.1
,
1
,
3.7
]))
def
test_RG_distance_1D
(
self
,
dim1
,
zc1
,
d
):
foo
=
RGSpace
([
dim1
],
zerocenter
=
zc1
,
distances
=
d
)
...
...
@@ -160,53 +154,3 @@ class Misc_Tests(unittest.TestCase):
v1
=
np
.
sqrt
(
out
.
dot
(
out
))
v2
=
np
.
sqrt
(
inp
.
dot
(
fft
.
adjoint_times
(
out
)))
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
)
test/test_operators/test_smoothing_operator.py
0 → 100644
View file @
d6a40b95
# 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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