diff --git a/src/lava/lib/optimization/solvers/generic/annealing/process.py b/src/lava/lib/optimization/solvers/generic/annealing/process.py
index 3b95310e..a843d760 100644
--- a/src/lava/lib/optimization/solvers/generic/annealing/process.py
+++ b/src/lava/lib/optimization/solvers/generic/annealing/process.py
@@ -49,8 +49,8 @@ def __init__(
         min_temperature: ty.Union[int, npty.NDArray],
         delta_temperature: ty.Union[int, npty.NDArray],
         steps_per_temperature: ty.Union[int, npty.NDArray],
-        exp_temperature: ty.Union[int, npty.NDArray] = None,
-        annealing_schedule: str = 'linear',
+        exp_temperature: ty.Union[int, npty.NDArray],
+        annealing_schedule: str,
         shape: ty.Tuple[int, ...] = (1,),
     ):
 
diff --git a/src/lava/lib/optimization/solvers/generic/hierarchical_processes.py b/src/lava/lib/optimization/solvers/generic/hierarchical_processes.py
index 669606c4..523d3619 100644
--- a/src/lava/lib/optimization/solvers/generic/hierarchical_processes.py
+++ b/src/lava/lib/optimization/solvers/generic/hierarchical_processes.py
@@ -406,8 +406,6 @@ def __init__(
         self.added_input = InPort(shape=shape)
         self.messages = OutPort(shape=shape)
         self.local_cost = OutPort(shape=shape)
-        #DELETE THIS AGAIN
-        print("WRONG MODEL2")
         self.integration = Var(shape=shape, init=0)
         self.temperature = Var(shape=shape, init=temperature)
         self.refract = Var(shape=shape, init=refract)
diff --git a/src/lava/lib/optimization/solvers/generic/nebm/process.py b/src/lava/lib/optimization/solvers/generic/nebm/process.py
index 78f542bf..8665a756 100644
--- a/src/lava/lib/optimization/solvers/generic/nebm/process.py
+++ b/src/lava/lib/optimization/solvers/generic/nebm/process.py
@@ -49,8 +49,6 @@ def __init__(
         self.spk_hist = Var(
             shape=shape, init=(np.zeros(shape=shape) + init_value).astype(int)
         )
-        #DELETE THIS AGAIN
-        print("WRONG MODEL1")
         self.temperature = Var(shape=shape, init=int(temperature))
         self.refract = Var(shape=shape, init=refract)
         self.refract_counter = Var(shape=shape, init=refract_counter)
diff --git a/src/lava/lib/optimization/solvers/generic/solver.py b/src/lava/lib/optimization/solvers/generic/solver.py
index e5824f27..1c7bab81 100644
--- a/src/lava/lib/optimization/solvers/generic/solver.py
+++ b/src/lava/lib/optimization/solvers/generic/solver.py
@@ -469,7 +469,7 @@ def _get_run_config(
                 NEBMSimulatedAnnealingAbstract:
                 NEBMSimulatedAnnealingAbstractModel,
                 NEBMSimulatedAnnealing: NEBMSimulatedAnnealingNcModel,
-                Annealing:AnnealingNcModel,
+                Annealing: AnnealingNcModel,
                 CostIntegrator: CostIntegratorNcModel,
                 ProportionalIntegralNeuronsPIPGeq: NcL2ModelPI,
                 ProjectedGradientNeuronsPIPGeq: NcL2ModelPG,
diff --git a/src/lava/lib/optimization/solvers/generic/sub_process_models.py b/src/lava/lib/optimization/solvers/generic/sub_process_models.py
index f17e823e..b6480c37 100644
--- a/src/lava/lib/optimization/solvers/generic/sub_process_models.py
+++ b/src/lava/lib/optimization/solvers/generic/sub_process_models.py
@@ -251,8 +251,6 @@ def __init__(self, proc):
         if neuron_model == "nebm":
             temperature = proc.hyperparameters.get("temperature", 1)
             refract = proc.hyperparameters.get("refract", 0)
-            # DELETE THIS AGAIN
-            print("WRONG MODEL3")
             refract_counter = proc.hyperparameters.get("refract_counter", 0)
             init_value = proc.hyperparameters.get(
                 "init_value", np.zeros(shape, dtype=int)
@@ -430,8 +428,6 @@ def __init__(self, proc):
         shape = proc.proc_params.get("shape", (1,))
         temperature = proc.proc_params.get("temperature", (1,))
         refract = proc.proc_params.get("refract", (1,))
-        #DELETE THIS AGAIN
-        print("WRONG MODEL4")
         refract_counter = proc.proc_params.get("refract_counter", (0,))
         init_value = proc.proc_params.get("init_value", np.zeros(shape))
         init_state = proc.proc_params.get("init_state", np.zeros(shape))