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ift
NIFTy
Commits
ac18a3f6
Commit
ac18a3f6
authored
Sep 23, 2017
by
Martin Reinecke
Browse files
more tests
parent
6d7d5ede
Pipeline
#18566
passed with stage
in 4 minutes and 14 seconds
Changes
1
Pipelines
1
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Inline
Side-by-side
test/test_field.py
View file @
ac18a3f6
...
...
@@ -19,8 +19,7 @@
import
unittest
import
numpy
as
np
from
numpy.testing
import
assert_
,
\
assert_almost_equal
,
\
from
numpy.testing
import
assert_equal
,
\
assert_allclose
from
nose.plugins.skip
import
SkipTest
...
...
@@ -32,6 +31,8 @@ from nifty2go import Field,\
PowerSpace
,
\
DomainTuple
from
nifty2go.sugar
import
create_power_operator
from
test.common
import
expand
...
...
@@ -50,7 +51,7 @@ class Test_Interface(unittest.TestCase):
attribute
=
attribute_desired_type
[
0
]
desired_type
=
attribute_desired_type
[
1
]
f
=
Field
(
domain
=
domain
)
assert_
(
isinstance
(
getattr
(
f
,
attribute
),
desired_type
))
assert_
equal
(
isinstance
(
getattr
(
f
,
attribute
),
desired_type
)
,
True
)
class
Test_Functionality
(
unittest
.
TestCase
):
...
...
@@ -85,6 +86,41 @@ class Test_Functionality(unittest.TestCase):
assert_allclose
(
ps1
.
val
/
samples
,
fp1
.
val
,
rtol
=
0.2
)
assert_allclose
(
ps2
.
val
/
samples
,
fp2
.
val
,
rtol
=
0.2
)
@
expand
(
product
([
RGSpace
((
8
,),
harmonic
=
True
),
RGSpace
((
8
,
8
),
harmonic
=
True
,
distances
=
0.123
)],
[
RGSpace
((
8
,),
harmonic
=
True
),
LMSpace
(
12
)]))
def
test_DiagonalOperator_power_analyze
(
self
,
space1
,
space2
):
np
.
random
.
seed
(
11
)
p1
=
PowerSpace
(
space1
)
spec1
=
lambda
k
:
42
/
(
1
+
k
)
**
2
fp1
=
Field
(
p1
,
val
=
spec1
(
p1
.
kindex
))
p2
=
PowerSpace
(
space2
)
spec2
=
lambda
k
:
42
/
(
1
+
k
)
**
3
fp2
=
Field
(
p2
,
val
=
spec2
(
p2
.
kindex
))
S_1
=
create_power_operator
(
space1
,
lambda
x
:
np
.
sqrt
(
spec1
(
x
)))
S_2
=
create_power_operator
(
space2
,
lambda
x
:
np
.
sqrt
(
spec2
(
x
)))
S_1
.
set_diagonal
(
S_1
.
diagonal
().
weight
(
-
1
))
S_2
.
set_diagonal
(
S_2
.
diagonal
().
weight
(
-
1
))
samples
=
500
ps1
=
0.
ps2
=
0.
for
ii
in
range
(
samples
):
rand_k
=
Field
.
from_random
(
'normal'
,
domain
=
(
space1
,
space2
))
sk
=
S_1
.
times
(
S_2
.
times
(
rand_k
,
spaces
=
1
),
spaces
=
0
)
sp
=
sk
.
power_analyze
(
spaces
=
(
0
,
1
),
keep_phase_information
=
False
)
ps1
+=
sp
.
sum
(
spaces
=
1
)
/
fp2
.
sum
()
ps2
+=
sp
.
sum
(
spaces
=
0
)
/
fp1
.
sum
()
assert_allclose
(
ps1
.
val
/
samples
,
fp1
.
val
,
rtol
=
0.2
)
assert_allclose
(
ps2
.
val
/
samples
,
fp2
.
val
,
rtol
=
0.2
)
def
test_vdot
(
self
):
s
=
RGSpace
((
10
,))
f1
=
Field
.
from_random
(
"normal"
,
domain
=
s
,
dtype
=
np
.
complex128
)
...
...
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