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Neel Shah
NIFTy
Commits
54a560d8
Commit
54a560d8
authored
May 21, 2020
by
Martin Reinecke
Browse files
fix version
parent
773e7b8c
Changes
5
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ChangeLog
View file @
54a560d8
...
...
@@ -43,7 +43,7 @@ In order to dive into those subtleties I suggest running the following code and
playing around with the dtypes.
```
import nifty
6
as ift
import nifty
7
as ift
import numpy as np
dom = ift.UnstructuredDomain(5)
...
...
@@ -71,7 +71,7 @@ The code now uses `numpy`'s new `SeedSequence` and `Generator` classes for the
production of random numbers (introduced in numpy 1.17. This greatly simplifies
the generation of reproducible random numbers in the presence of MPI parallelism
and leads to cleaner code overall. Please see the documentation of
`nifty
6
.random` for details.
`nifty
7
.random` for details.
Interface Change for from_random and OuterProduct
=================================================
...
...
src/library/correlated_fields.py
View file @
54a560d8
...
...
@@ -365,11 +365,11 @@ class CorrelatedFieldMaker:
around this offset needs to be parametrized.
The resulting correlated field model operator has a
:class:`~nifty
6
.multi_domain.MultiDomain` as its domain and
:class:`~nifty
7
.multi_domain.MultiDomain` as its domain and
expects its input values to be univariately gaussian.
The target of the constructed operator will be a
:class:`~nifty
6
.domain_tuple.DomainTuple`
:class:`~nifty
7
.domain_tuple.DomainTuple`
containing the `target_subdomains` of the added fluctuations in the
order of the `add_fluctuations` calls.
...
...
@@ -475,8 +475,8 @@ class CorrelatedFieldMaker:
Parameters
----------
target_subdomain : :class:`~nifty
6
.domain.Domain`,
\
:class:`~nifty
6
.domain_tuple.DomainTuple`
target_subdomain : :class:`~nifty
7
.domain.Domain`,
\
:class:`~nifty
7
.domain_tuple.DomainTuple`
Target subdomain on which the correlation structure defined
in this call should hold.
fluctuations_{mean,stddev} : float
...
...
@@ -501,8 +501,8 @@ class CorrelatedFieldMaker:
field model and the second one is used for the third field model.
*If not given*, use the same power spectrum model for all
constructed field models.
harmonic_partner : :class:`~nifty
6
.domain.Domain`,
\
:class:`~nifty
6
.domain_tuple.DomainTuple`
harmonic_partner : :class:`~nifty
7
.domain.Domain`,
\
:class:`~nifty
7
.domain_tuple.DomainTuple`
In which harmonic space to define the power spectrum
"""
if
harmonic_partner
is
None
:
...
...
test/test_operators/test_conjugation_operator.py
View file @
54a560d8
...
...
@@ -18,7 +18,7 @@
import
numpy
as
np
from
numpy.testing
import
assert_allclose
import
nifty
6
as
ift
import
nifty
7
as
ift
from
..common
import
setup_function
,
teardown_function
...
...
test/test_operators/test_contraction_operator.py
View file @
54a560d8
...
...
@@ -18,7 +18,7 @@
import
numpy
as
np
from
numpy.testing
import
assert_allclose
import
nifty
6
as
ift
import
nifty
7
as
ift
from
..common
import
setup_function
,
teardown_function
...
...
test/test_operators/test_vdot_operator.py
View file @
54a560d8
...
...
@@ -18,7 +18,7 @@
import
numpy
as
np
from
numpy.testing
import
assert_allclose
import
nifty
6
as
ift
import
nifty
7
as
ift
from
..common
import
setup_function
,
teardown_function
...
...
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