apply auto-formatting

com.unity.ml-agents/Editor/CameraSensorComponentEditor.cs

             var sensorComponent = serializedObject.targetObject as CameraSensorComponent;
             sensorComponent?.UpdateSensor();
         }
-
     }
 }

com.unity.ml-agents/Editor/RayPerceptionSensorComponentBaseEditor.cs

             UpdateSensorIfDirty();
         }
 
-
-                if (m_RequireSensorUpdate)
-                {
-                    var sensorComponent = serializedObject.targetObject as RayPerceptionSensorComponentBase;
-                    sensorComponent?.UpdateSensor();
-                    m_RequireSensorUpdate = false;
-                }
+            if (m_RequireSensorUpdate)
+            {
+                var sensorComponent = serializedObject.targetObject as RayPerceptionSensorComponentBase;
+                sensorComponent?.UpdateSensor();
+                m_RequireSensorUpdate = false;
+            }
         }
     }
 

com.unity.ml-agents/Runtime/Agent.cs

         /// <summary>
         /// The team ID for this Agent.
         /// </summary>
-        public int TeamId {
-            get {
+        public int TeamId
+        {
+            get
+            {
-                }
+            }
-        public string BehaviorName  {
-            get {
+        public string BehaviorName
+        {
+            get
+            {
-                }
+            }
         }
 
         [SerializeField][HideInInspector]
             m_Brain?.RequestDecision(m_Info, sensors);
 
             // We also have to write any to any DemonstationStores so that they get the "done" flag.
-            foreach(var demoWriter in DemonstrationWriters)
+            foreach (var demoWriter in DemonstrationWriters)
             {
                 demoWriter.Record(m_Info, sensors);
             }
         {
             m_RequestAction = true;
         }
-
 
         /// Helper function that resets all the data structures associated with
         /// the agent. Typically used when the agent is being initialized or reset
             m_Brain.RequestDecision(m_Info, sensors);
 
             // If we have any DemonstrationWriters, write the AgentInfo and sensors to them.
-            foreach(var demoWriter in DemonstrationWriters)
+            foreach (var demoWriter in DemonstrationWriters)
             {
                 demoWriter.Record(m_Info, sensors);
             }
                 sensor.Update();
             }
         }
-
 
         /// <summary>
         /// Collects the vector observations of the agent.
         void DecideAction()
         {
             m_Action.vectorActions = m_Brain?.DecideAction();
-            if (m_Action.vectorActions == null){
+            if (m_Action.vectorActions == null)
+            {
                 ResetData();
             }
         }

com.unity.ml-agents/Runtime/Communicator/RpcCommunicator.cs

                             "Python library version: {2}.",
                             pythonCommunicationVersion, initParameters.unityCommunicationVersion,
                             pythonPackageVersion
-                            );
+                        );
                     }
                     else
                     {
         /// <param name="dataReceived">The byte array of data received from Python.</param>
         public static void ProcessSideChannelData(Dictionary<Guid, SideChannel> sideChannels, byte[] dataReceived)
         {
-
-            while(m_CachedMessages.Count!=0)
+            while (m_CachedMessages.Count != 0)
             {
                 var cachedMessage = m_CachedMessages.Dequeue();
                 if (sideChannels.ContainsKey(cachedMessage.ChannelId))

com.unity.ml-agents/Runtime/Policies/BehaviorParameters.cs

 
 namespace MLAgents.Policies
 {
-
     /// <summary>
     /// Defines what type of behavior the Agent will be using
     /// </summary>
     [AddComponentMenu("ML Agents/Behavior Parameters", (int)MenuGroup.Default)]
     internal class BehaviorParameters : MonoBehaviour
     {
-
         [HideInInspector]
         [SerializeField]
         BrainParameters m_BrainParameters = new BrainParameters();

com.unity.ml-agents/Runtime/Policies/BrainParameters.cs

 
         public int numActions
         {
-            get{
-                switch(vectorActionSpaceType){
+            get
+            {
+                switch (vectorActionSpaceType)
+                {
                     case SpaceType.Discrete:
                         return vectorActionSize.Length;
                     case SpaceType.Continuous:

com.unity.ml-agents/Runtime/Sensors/RayPerceptionSensorComponentBase.cs

         [HideInInspector, SerializeField, FormerlySerializedAs("maxRayDegrees")]
         [Range(0, 180)]
         [Tooltip("Cone size for rays. Using 90 degrees will cast rays to the left and right. " +
-                 "Greater than 90 degrees will go backwards.")]
+            "Greater than 90 degrees will go backwards.")]
         float m_MaxRayDegrees = 70;
 
         /// <summary>
         /// <summary>
         /// Draw the debug information from the sensor (if available).
         /// </summary>
-        void DrawRaycastGizmos(DebugDisplayInfo.RayInfo rayInfo, float alpha=1.0f)
+        void DrawRaycastGizmos(DebugDisplayInfo.RayInfo rayInfo, float alpha = 1.0f)
         {
             var startPositionWorld = rayInfo.worldStart;
             var endPositionWorld = rayInfo.worldEnd;

com.unity.ml-agents/Runtime/SideChannels/FloatPropertiesChannel.cs

             {
                 ChannelId = new Guid(k_FloatPropertiesDefaultId);
             }
-            else{
+            else
+            {
                 ChannelId = channelId;
             }
         }