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ift
NIFTy
Commits
226a52f7
Commit
226a52f7
authored
Nov 06, 2019
by
Philipp Arras
Browse files
Add tests
parent
92638ed6
Changes
1
Hide whitespace changes
Inline
Side-by-side
nifty5/library/correlated_fields.py
View file @
226a52f7
...
...
@@ -22,7 +22,7 @@ from numpy.testing import assert_allclose
from
..domain_tuple
import
DomainTuple
from
..domains.power_space
import
PowerSpace
from
..domains.unstructured_domain
import
UnstructuredDomain
from
..extra
import
check_jacobian_consistency
from
..extra
import
check_jacobian_consistency
,
consistency_check
from
..field
import
Field
from
..multi_domain
import
MultiDomain
from
..operators.adder
import
Adder
...
...
@@ -55,8 +55,10 @@ class _SlopeOperator(Operator):
self
.
_domain
=
MultiDomain
.
union
(
[
smooth
.
domain
,
loglogavgslope
.
domain
])
self
.
_target
=
smooth
.
target
self
.
_smooth
=
smooth
self
.
_llas
=
loglogavgslope
from
..operators.simple_linear_operators
import
PartialExtractor
self
.
_smooth
=
smooth
@
PartialExtractor
(
self
.
_domain
,
smooth
.
domain
)
self
.
_llas
=
loglogavgslope
@
PartialExtractor
(
self
.
_domain
,
loglogavgslope
.
domain
)
logkl
=
_log_k_lengths
(
self
.
_target
[
0
])
assert
logkl
.
shape
[
0
]
==
self
.
_target
[
0
].
shape
[
0
]
-
1
logkl
-=
logkl
[
0
]
...
...
@@ -68,8 +70,8 @@ class _SlopeOperator(Operator):
def
apply
(
self
,
x
):
self
.
_check_input
(
x
)
smooth
=
self
.
_smooth
(
x
.
extract
(
self
.
_smooth
.
domain
)
)
res0
=
self
.
_llas
(
x
.
extract
(
self
.
_llas
.
domain
)
)
smooth
=
self
.
_smooth
(
x
)
res0
=
self
.
_llas
(
x
)
res1
=
self
.
_extr_op
(
smooth
)
/
self
.
_T
return
self
.
_t
(
res0
-
res1
)
+
smooth
...
...
@@ -121,6 +123,8 @@ class _Normalization(Operator):
cst
[
0
]
=
0
self
.
_cst
=
from_global_data
(
self
.
_domain
,
cst
)
self
.
_specsum
=
_SpecialSum
(
self
.
_domain
)
# FIXME Move to tests
consistency_check
(
self
.
_specsum
)
def
apply
(
self
,
x
):
self
.
_check_input
(
x
)
...
...
@@ -185,8 +189,11 @@ class CorrelatedFieldMaker:
# move to tests
assert_allclose
(
smooth
(
from_random
(
'normal'
,
smooth
.
domain
)).
val
[
0
:
2
],
0
)
consistency_check
(
twolog
)
check_jacobian_consistency
(
smooth
,
from_random
(
'normal'
,
smooth
.
domain
))
check_jacobian_consistency
(
smoothslope
,
from_random
(
'normal'
,
smoothslope
.
domain
))
# end move to tests
normal_ampl
=
_Normalization
(
target
)
@
smoothslope
...
...
@@ -204,6 +211,8 @@ class CorrelatedFieldMaker:
# assert_allclose(
# normal_ampl(from_random('normal', normal_ampl.domain)).val[0], 1)
assert_allclose
(
ampl
(
from_random
(
'normal'
,
ampl
.
domain
)).
val
[
0
],
vol
)
op
=
_Normalization
(
target
)
check_jacobian_consistency
(
op
,
from_random
(
'normal'
,
op
.
domain
))
# End move to tests
self
.
_amplitudes
.
append
(
ampl
)
...
...
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