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sampling_engine_standard_pod.py
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Sat, May 4, 20:57
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text/x-python
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R6746 RationalROMPy
sampling_engine_standard_pod.py
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# Copyright (C) 2018 by the RROMPy authors
#
# This file is part of RROMPy.
#
# RROMPy is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# RROMPy 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 Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with RROMPy. If not, see <http://www.gnu.org/licenses/>.
#
import
numpy
as
np
from
rrompy.sampling.base.pod_engine
import
PODEngine
from
.sampling_engine_standard
import
SamplingEngineStandard
from
rrompy.utilities.base.types
import
Np1D
,
paramVal
,
sampList
from
rrompy.utilities.base
import
verbosityManager
as
vbMng
from
rrompy.sampling
import
sampleList
,
emptySampleList
__all__
=
[
'SamplingEngineStandardPOD'
]
class
SamplingEngineStandardPOD
(
SamplingEngineStandard
):
"""HERE"""
def
resetHistory
(
self
):
super
()
.
resetHistory
()
self
.
samples_full
=
emptySampleList
()
self
.
RPOD
=
np
.
zeros
((
0
,
0
),
dtype
=
np
.
complex
)
def
popSample
(
self
):
if
hasattr
(
self
,
"nsamples"
)
and
self
.
nsamples
>
1
:
self
.
RPOD
=
self
.
RPOD
[:
-
1
,
:
-
1
]
self
.
samples_full
.
pop
()
super
()
.
popSample
()
@property
def
HFEngine
(
self
):
"""Value of HFEngine. Its assignment resets history."""
return
self
.
_HFEngine
@HFEngine.setter
def
HFEngine
(
self
,
HFEngine
):
SamplingEngineStandard
.
HFEngine
.
fset
(
self
,
HFEngine
)
self
.
PODEngine
=
PODEngine
(
self
.
_HFEngine
)
def
preprocesssamples
(
self
,
idxs
:
Np1D
)
->
sampList
:
if
self
.
samples_full
is
None
or
len
(
self
.
samples_full
)
==
0
:
return
return
self
.
samples_full
(
idxs
)
def
setsample
(
self
,
u
:
sampList
,
overwrite
:
bool
=
False
):
super
()
.
setsample
(
u
,
overwrite
)
if
overwrite
:
self
.
samples_full
[
self
.
nsamples
]
=
u
else
:
if
self
.
nsamples
==
0
:
self
.
samples_full
=
sampleList
(
u
)
else
:
self
.
samples_full
.
append
(
u
)
def
postprocessu
(
self
,
u
:
sampList
,
overwrite
:
bool
=
False
):
if
overwrite
:
self
.
samples_full
[
self
.
nsamples
]
=
u
else
:
if
self
.
nsamples
==
0
:
self
.
samples_full
=
sampleList
(
u
)
else
:
self
.
samples_full
.
append
(
u
)
vbMng
(
self
,
"INIT"
,
"Starting orthogonalization."
,
20
)
u
,
r
,
_
=
self
.
PODEngine
.
GS
(
u
,
self
.
samples
,
is_state
=
self
.
sample_state
)
self
.
RPOD
=
np
.
pad
(
self
.
RPOD
,
((
0
,
1
),
(
0
,
1
)),
'constant'
)
self
.
RPOD
[:,
-
1
]
=
r
vbMng
(
self
,
"DEL"
,
"Done orthogonalizing."
,
20
)
super
()
.
setsample
(
u
,
overwrite
)
def
postprocessuBulk
(
self
):
vbMng
(
self
,
"INIT"
,
"Starting orthogonalization."
,
10
)
u
,
self
.
RPOD
=
self
.
PODEngine
.
generalizedQR
(
self
.
samples_full
,
is_state
=
self
.
sample_state
)
vbMng
(
self
,
"DEL"
,
"Done orthogonalizing."
,
10
)
self
.
samples
=
sampleList
(
u
)
def
preallocateSamples
(
self
,
u
:
Np1D
,
mu
:
paramVal
,
n
:
int
):
super
()
.
preallocateSamples
(
u
,
mu
,
n
)
self
.
samples_full
.
reset
((
u
.
shape
[
0
],
n
),
u
.
dtype
)
self
.
samples_full
[
0
]
=
u
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