doc tweaks

nifty4/library/nonlinear_power_energy.py

@@ -50,7 +50,7 @@ class NonlinearPowerEnergy(Energy):
         corrections.
         default : 3
     """
-
+    # MR FIXME: docstring incomplete and outdated
     def __init__(self, position, d, N, xi, D, ht, Instrument, nonlinearity,
                  Distribution, sigma=0., samples=3, xi_sample_list=None,
                  inverter=None):

nifty4/library/wiener_filter_curvature.py

@@ -32,12 +32,14 @@ class WienerFilterCurvature(EndomorphicOperator):
 
     Parameters
     ----------
-    R: LinearOperator,
-       The response operator of the Wiener filter measurement.
+    R: LinearOperator
+        The response operator of the Wiener filter measurement.
     N: EndomorphicOperator
-       The noise covariance.
-    S: DiagonalOperator,
-       The prior signal covariance
+        The noise covariance.
+    S: EndomorphicOperator
+        The prior signal covariance
+    inverter : Minimizer
+        The minimizer to use during numerical inversion
     """
 
     def __init__(self, R, N, S, inverter):

nifty4/library/wiener_filter_energy.py

@@ -28,17 +28,17 @@ class WienerFilterEnergy(Energy):
 
     Parameters
     ----------
-    position: Field,
+    position: Field
         The current map in harmonic space.
-    d: Field,
-       the data
-    R: LinearOperator,
-       The response operator, description of the measurement process. It needs
-       to map from harmonic signal space to data space.
-    N: EndomorphicOperator,
-       The noise covariance in data space.
-    S: EndomorphicOperator,
-       The prior signal covariance in harmonic space.
+    d: Field
+        the data
+    R: LinearOperator
+        The response operator, description of the measurement process. It needs
+        to map from harmonic signal space to data space.
+    N: EndomorphicOperator
+        The noise covariance in data space.
+    S: EndomorphicOperator
+        The prior signal covariance in harmonic space.
     """
 
     def __init__(self, position, d, R, N, S, inverter, _j=None):