Docstrings, removing dummy science.

src/adler/adler.py

@@ -8,8 +8,6 @@
 def runAdler(args):
     planetoid = AdlerPlanetoid.construct_from_RSP(args.ssoid, args.filter_list, args.date_range)
 
-    planetoid.do_pretend_science()
-
     # now let's do some phase curves!
 
     # get the RSP r filter model

src/adler/dataclasses/AdlerPlanetoid.py

@@ -328,8 +328,3 @@ def SSObject_in_filter(self, filter_name):
             raise ValueError("Filter {} is not in AdlerPlanetoid.filter_list.".format(filter_name))
 
         return self.SSObject.filter_dependent_values[filter_index]
-
-    def do_pretend_science(self):
-        self.DummyScienceResult = DummyScience().science_result
-
-        print(self.DummyScienceResult)

src/adler/dataclasses/SSObject.py

@@ -33,18 +33,6 @@ class SSObject:
         A list of FilterDependentSSO objects storing the filter-dependent values H, Herr, G12, G12err and nData,
         in same order as filter_list. See documentation for FilterDependentSSO object for descriptions of these variables.
 
-    G12: array_like of floats
-        Best fit G12 slope parameters per-filter, in same order as filter_list.
-
-    Herr : array_like of floats
-        Uncertainty of H per-filter, in same order as filter_list.
-
-    G12Err : array_like of floats
-        Uncertainty of G12 per-filter, in same order as filter_list.
-
-    nData: array_like of ints
-        The number of data points used to fit the phase curve per-filter, in same order as filter_list.
-
     maxExtendedness: float
         maximum `extendedness` value from the DIASource
 
@@ -133,7 +121,7 @@ class FilterDependentSSO:
     G12Err : float
         Uncertainty of G12.
 
-    nData: array_like of ints
+    nData: int
         The number of data points used to fit the phase curve in this filter.
     """