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ift
NIFTy
Commits
bb23bd60
Commit
bb23bd60
authored
Jan 30, 2019
by
Martin Reinecke
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code style fixes
parent
0a4ea12b
Changes
4
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4 changed files
with
10 additions
and
10 deletions
+10
-10
demos/polynomial_fit.py
demos/polynomial_fit.py
+2
-1
nifty5/extra.py
nifty5/extra.py
+0
-1
nifty5/library/light_cone_operator.py
nifty5/library/light_cone_operator.py
+6
-6
nifty5/operators/exp_transform.py
nifty5/operators/exp_transform.py
+2
-2
No files found.
demos/polynomial_fit.py
View file @
bb23bd60
...
@@ -44,7 +44,8 @@ def polynomial(coefficients, sampling_points):
...
@@ -44,7 +44,8 @@ def polynomial(coefficients, sampling_points):
class
PolynomialResponse
(
ift
.
LinearOperator
):
class
PolynomialResponse
(
ift
.
LinearOperator
):
"""Calculates values of a polynomial parameterized by input at sampling points.
"""Calculates values of a polynomial parameterized by input at sampling
points.
Parameters
Parameters
----------
----------
...
...
nifty5/extra.py
View file @
bb23bd60
...
@@ -171,4 +171,3 @@ def check_jacobian_consistency(op, loc, tol=1e-8, ntries=100):
...
@@ -171,4 +171,3 @@ def check_jacobian_consistency(op, loc, tol=1e-8, ntries=100):
else
:
else
:
raise
ValueError
(
"gradient and value seem inconsistent"
)
raise
ValueError
(
"gradient and value seem inconsistent"
)
loc
=
locnext
loc
=
locnext
nifty5/library/light_cone_operator.py
View file @
bb23bd60
...
@@ -97,24 +97,24 @@ def _cone_arrays(c, domain, sigx, want_gradient):
...
@@ -97,24 +97,24 @@ def _cone_arrays(c, domain, sigx, want_gradient):
class
LightConeOperator
(
Operator
):
class
LightConeOperator
(
Operator
):
'''Constructs a Light cone from a set of lightspeed parameters.
'''Constructs a Light cone from a set of lightspeed parameters.
The resulting cone is defined as follows
The resulting cone is defined as follows
.. math::
.. math::
\\
exp
\\
left(-
\\
frac{1}{2}
\\
Re
\\
left(
\\
Delta
\\
right)^2
\\
right)
\\
exp
\\
left(-
\\
frac{1}{2}
\\
Re
\\
left(
\\
Delta
\\
right)^2
\\
right)
with
with
.. math::
.. math::
\\
Delta =
\\
sqrt{-
\\
left(t^2 -
\\
frac{x^
\\
dagger C^{-1} x}
\\
Delta =
\\
sqrt{-
\\
left(t^2 -
\\
frac{x^
\\
dagger C^{-1} x}
{
\\
sigma_x^2}
\\
right)}
{
\\
sigma_x^2}
\\
right)}
where t and x are the coordinates of the target space. Note that axis zero
where t and x are the coordinates of the target space. Note that axis zero
of the space is interpreted as the time axis. C denotes the input
of the space is interpreted as the time axis. C denotes the input
paramters of the operator and parametrizes the shape of the cone.
paramters of the operator and parametrizes the shape of the cone.
sigx is the width of the asymptotic Gaussian in x necessary for
sigx is the width of the asymptotic Gaussian in x necessary for
discretization.
discretization.
Parameters
Parameters
----------
----------
domain : Domain, tuple of Domain or DomainTuple
domain : Domain, tuple of Domain or DomainTuple
...
...
nifty5/operators/exp_transform.py
View file @
bb23bd60
...
@@ -31,8 +31,8 @@ class ExpTransform(LinearOperator):
...
@@ -31,8 +31,8 @@ class ExpTransform(LinearOperator):
This operator creates a log-space subject to the degrees of freedom and
This operator creates a log-space subject to the degrees of freedom and
and its target-domain.
and its target-domain.
Then it transforms between this log-space and its target, which is defined
in
Then it transforms between this log-space and its target, which is defined
normal units.
in
normal units.
FIXME Write something on t_0 of domain space
FIXME Write something on t_0 of domain space
...
...
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