Removing commented out code.

python/unityagents/environment.py

         # return SocketCommunicator(worker_id, base_port)
 
     def __str__(self):
-        # Set reset parameters from trainer.
-        '''_new_reset_param = self._curriculum.get_config()
-        for k in _new_reset_param:
-            self._resetParameters[k] = _new_reset_param[k]'''
-        
         return '''Unity Academy name: {0}
         Number of Brains: {1}
         Number of External Brains : {2}
                                          for k in self._resetParameters])) + '\n' + \
                '\n'.join([str(self._brains[b]) for b in self._brains])
 
-    def reset(self, config, train_mode=True, lesson=None) -> AllBrainInfo:
+    def reset(self, config, train_mode=True) -> AllBrainInfo:
         """
         Sends a signal to reset the unity environment.
         :return: AllBrainInfo  : A Data structure corresponding to the initial reset state of the environment.

python/unitytrainers/trainer_controller.py

 from tensorflow.python.tools import freeze_graph
 from unitytrainers.ppo.trainer import PPOTrainer
 from unitytrainers.bc.trainer import BehavioralCloningTrainer
+from unitytrainers import Curriculum
-
-from .curriculum import Curriculum
-from unityagents.exception import UnityEnvironmentException, UnityActionException, UnityTimeOutException
 
 from communicator_objects import UnityRLInitializationInput
 

python/curricula/push_curriculum.json

-{
-    "measure" : "progress",
-    "thresholds" : [0.1],
-    "min_lesson_length" : 2,
-    "signal_smoothing" : true, 
-    "parameters" : 
-    {
-        "goal_size" : [25.0, 5.0]
-    }
-}