rename add_constraint argument

flavio/classes.py

@@ -141,14 +141,14 @@ def all_parameters(self):
         """Returns a list of all parameters/observables constrained."""
         return list(self._parameters.keys())
 
-    def add_constraint(self, parameters, constraint, parameter_object=False):
+    def add_constraint(self, parameters, constraint, is_parameter_constraint=None):
         """Set the constraint on one or several parameters/observables.
 
         `constraint` must be an instance of a child of ProbabilityDistribution.
 
         Note that if there already exists a constraint, it will be removed."""
         for num, parameter in enumerate(parameters):
-            if parameter_object:
+            if is_parameter_constraint:
                 try: # check if parameter object already exists
                     p = Parameter[parameter]
                 except: # otherwise, create a new one

flavio/physics/bdecays/formfactors/b_p/bcl_parameters.py

@@ -9,4 +9,4 @@ def load_parameters(filename, constraints):
     ff_dict = yaml.safe_load(f)
     covariance = np.outer(ff_dict['uncertainties'], ff_dict['uncertainties'])*ff_dict['correlation']
     constraints.add_constraint(ff_dict['parameters'],
-            MultivariateNormalDistribution(central_value=ff_dict['central_values'], covariance=covariance), parameter_object=True)
+            MultivariateNormalDistribution(central_value=ff_dict['central_values'], covariance=covariance), is_parameter_constraint=True)

flavio/physics/bdecays/formfactors/b_p/bcl_parameters_lmvd.py

@@ -23,4 +23,4 @@ def load_parameters(filename, constraints):
                 raise ValueError('No f or b in observable name')
         observables_renamed.append(o[:index]+ ' BCL ' + o[index:])
     constraints.add_constraint(observables_renamed,
-            MultivariateNormalDistribution(central_value=central_values, covariance=covariance), parameter_object=True)
+            MultivariateNormalDistribution(central_value=central_values, covariance=covariance), is_parameter_constraint=True)

flavio/physics/bdecays/formfactors/b_v/lattice_parameters.py

@@ -34,7 +34,7 @@ def load_parameters(file_res, file_cov, process, constraints):
           - np.diag([ cov_dict[(k,k)] for k in keys_sorted]) )
     parameter_names = [implementation_name + ' ' + coeff_name for coeff_name in keys_sorted]
     constraints.add_constraint(parameter_names,
-            MultivariateNormalDistribution(central_value=res, covariance=cov ), parameter_object=True)
+            MultivariateNormalDistribution(central_value=res, covariance=cov ), is_parameter_constraint=True)
 
 
 def lattice_load(constraints):