diff --git a/ravenframework/Optimizers/BayesianOptimizer.py b/ravenframework/Optimizers/BayesianOptimizer.py
index a00830bcec..78b15721e2 100644
--- a/ravenframework/Optimizers/BayesianOptimizer.py
+++ b/ravenframework/Optimizers/BayesianOptimizer.py
@@ -150,7 +150,6 @@ def __init__(self):
     self._paramSelectionOptions = {'ftol':1e-10, 'maxiter':200, 'disp':False} # Optimizer options for hyperparameter selection
     self._externalParamOptimizer = 'fmin_l_bfgs_b'                            # Optimizer for external hyperparameter selection
     self._resetModel = False                                                  # Reset regression model if True
-    
 
   def handleInput(self, paramInput):
     """
diff --git a/ravenframework/Optimizers/GradientDescent.py b/ravenframework/Optimizers/GradientDescent.py
index 8910073f43..4a67aa42ae 100644
--- a/ravenframework/Optimizers/GradientDescent.py
+++ b/ravenframework/Optimizers/GradientDescent.py
@@ -202,7 +202,7 @@ def __init__(self):
     # history trackers, by traj, are deques (-1 is most recent)
     self._gradHistory = {}         # gradients
     self._stepHistory = {}         # {'magnitude': size, 'versor': direction, 'info': dict} for step
-    self._acceptHistory = {}       # acceptability
+    self._acceptHistory = {}       # acceptabilitys
     self._stepRecommendations = {} # by traj, if a 'cut' or 'grow' is recommended else None
     self._acceptRerun = {}         # by traj, if True then override accept for point rerun
     self._convergenceCriteria = defaultdict(mathUtils.giveZero) # names and values for convergence checks
@@ -212,7 +212,6 @@ def __init__(self):
     self._followerProximity = 1e-2   # distance at which annihilation can start occurring, in ?normalized? space
     self._trajectoryFollowers = defaultdict(list) # map of trajectories to the trajectories following them
     self._functionalConstraintExplorationLimit = 500 # number of input-space explorations allowable for functional constraints
-    
     # __private
     # additional methods
     # register adaptive sample identification criteria