Skip to content
GitLab
Menu
Projects
Groups
Snippets
Loading...
Help
Help
Support
Community forum
Keyboard shortcuts
?
Submit feedback
Contribute to GitLab
Sign in
Toggle navigation
Menu
Open sidebar
ift
NIFTy
Commits
f156b5fe
Commit
f156b5fe
authored
Aug 14, 2018
by
Julia Stadler
Browse files
added docstring and comments
parent
e64857f6
Changes
1
Hide whitespace changes
Inline
Sidebyside
Showing
1 changed file
with
42 additions
and
0 deletions
+42
0
nifty5/operators/central_zero_padder.py
nifty5/operators/central_zero_padder.py
+42
0
No files found.
nifty5/operators/central_zero_padder.py
View file @
f156b5fe
# 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/>.
#
# Copyright(C) 20132018 MaxPlanckSociety
#
# NIFTy is being developed at the MaxPlanckInstitut fuer Astrophysik
# and financially supported by the Studienstiftung des deutschen Volkes.
from
__future__
import
absolute_import
,
division
,
print_function
import
numpy
as
np
...
...
@@ 15,11 +33,28 @@ from .. import dobj
# MR FIXME: for even axis lengths, we probably should split the value at the
# highest frequency.
class
CentralZeroPadder
(
LinearOperator
):
"""Operator that enlarges a fields domain by adding zeros from the middle.
Parameters

domain: Domain, tuple of Domains or DomainTuple
The domain of the data that is input by "times" and output by "adjoint_times"
new_shape: tuple
Shape of the target domain.
space: int, optional
The index of the subdomain on which the operator should act
If None, it is set to 0 if `domain` contains exactly one space.
`domain[space]` must be an RGSpace.
"""
def
__init__
(
self
,
domain
,
new_shape
,
space
=
0
):
self
.
_domain
=
DomainTuple
.
make
(
domain
)
self
.
_space
=
utilities
.
infer_space
(
self
.
_domain
,
space
)
dom
=
self
.
_domain
[
self
.
_space
]
# verify domains
if
not
isinstance
(
dom
,
RGSpace
):
raise
TypeError
(
"RGSpace required"
)
if
dom
.
harmonic
:
...
...
@@ 29,12 +64,15 @@ class CentralZeroPadder(LinearOperator):
if
any
([
a
<
b
for
a
,
b
in
zip
(
new_shape
,
dom
.
shape
)]):
raise
ValueError
(
"New shape must be larger than old shape"
)
# make target space
tgt
=
RGSpace
(
new_shape
,
dom
.
distances
)
self
.
_target
=
list
(
self
.
_domain
)
self
.
_target
[
self
.
_space
]
=
tgt
self
.
_target
=
DomainTuple
.
make
(
self
.
_target
)
self
.
_capability
=
self
.
TIMES

self
.
ADJOINT_TIMES
# define the axes along which the input filed is sliced
slicer
=
[]
axes
=
self
.
_target
.
axes
[
self
.
_space
]
for
i
in
range
(
len
(
self
.
_domain
.
shape
)):
...
...
@@ 65,10 +103,14 @@ class CentralZeroPadder(LinearOperator):
x
=
dobj
.
local_data
(
x
)
if
mode
==
self
.
TIMES
:
# slice along each axis and copy the data to an
# array of zeros which has the shape of the target domain
y
=
np
.
zeros
(
dobj
.
local_shape
(
shp_out
,
curax
),
dtype
=
x
.
dtype
)
for
i
in
self
.
slicer
:
y
[
i
]
=
x
[
i
]
else
:
# slice along each axis and copy the data to an array of zeros
# which has the shape of the input domain to remove excess zeros
y
=
np
.
empty
(
dobj
.
local_shape
(
shp_out
,
curax
),
dtype
=
x
.
dtype
)
for
i
in
self
.
slicer
:
y
[
i
]
=
x
[
i
]
...
...
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
.
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment