fixed docstrings for doc build

Author: alexhroom

RATapi/examples/non_polarised/DSPC_custom_XY.py

@@ -6,7 +6,7 @@
 
 
 def DSPC_custom_XY():
-    """Custom XY Example for Supported DSPC layer.
+    r"""Custom XY Example for Supported DSPC layer.
 
     In this example, we model the same data (DSPC supported bilayer) as the Custom Layers example, but this time we will
     use continuous distributions of the volume fractions of each component to build up the SLD profiles (as described in
@@ -19,15 +19,15 @@ def DSPC_custom_XY():
     We can define our lipid in terms of an Area per Molecule, almost in its entirety, if we recognise that where the
     volume is known, the thickness of the layer is simply given by the layer volume / APM:
 
-    $d_{\textrm{layer}} =\frac{V_{\textrm{layer}} }{{\textrm{APM}}_{\textrm{layer}}}$.
+    .. math:: d_{\textrm{layer}} =\frac{V_{\textrm{layer}} }{{\textrm{APM}}_{\textrm{layer}}}.
 
     We can then define the Volume Fraction of this layer with a roughened Heaviside of length dlayer and a height of 1.
     Then, the total volume occupied will be given by the sum of the volume fractions across the interface. Of course,
     this does not permit any hydration, so to deal with this, we can simply scale the (full occupation) Heaviside
     functions by relevant coverage parameters. When this is correctly done, we can obtain the remaining water
     distribution as:
 
-    $${\textrm{VF}}_{\textrm{wat}} =1-\\sum_n {\textrm{VF}}_n$$
+    .. math:: {\textrm{VF}}_{\textrm{wat}} =1-\\sum_n {\textrm{VF}}_n
 
     where VFn is the Volume Fraction of the n'th layer.
     """

RATapi/models.py

@@ -94,11 +94,14 @@ class Background(Signal):
         The type of background (constant, function or data)
     source : str
         The source of the background;
+
         - if type is 'constant', this should be the name of a background parameter.
         - if type is 'data', this should be the name of a dataset defined in `Project.data`.
         - if type is 'function', this should be the name of a custom function defined in `Project.custom_files`.
-    value_1, value_2, ..., value_5 : str
+    
+    value_1, value_2, value_3, value_4, value_5 : str
         Values required by the background.
+
         - if type is 'constant', all values will be ignored.
         - if type is 'data', value_1 may be the parameter name for an optional offset. Other values are ignored.
         - if type is 'function', these values may be the names of up to 5 parameters which are passed to the function.
@@ -318,6 +321,8 @@ def set_matlab_function_name(self):
 class Data(RATModel, arbitrary_types_allowed=True):
     """A dataset required for a contrast.
 
+    Parameters
+    ----------
     name : str
         The name of this dataset.
     data : np.ndarray[np.float64]
@@ -584,12 +589,15 @@ class Resolution(Signal):
         The type of resolution: 'constant', 'data', or (NOT YET IMPLEMENTED) 'function'.
     source : str
         The source data for the resolution;
+
         - if type is 'constant', this should be the name of a background parameter.
         - if type is 'data', this should be empty (resolution data is in the contrast data).
         - if type is 'function' (NOT YET IMPLEMENTED),
           this should be the name of a custom function defined in `Project.custom_files`.
-    value_1, value_2, ..., value_5 : str
+    
+    value_1, value_2, value_3, value_4, value_5 : str
         Values required by the background.
+
         - if type is 'constant' or 'data', all values will be ignored.
         - if type is 'function' (NOT YET IMPLEMENTED),
           these values may be the names of up to 5 parameters which are passed to the function.