constant for editor port (#3396)

* constant for editor port

* undo stupid pycharm

* cleanup

docs/Python-API.md

 
 channel = EngineConfigurationChannel()
 
-env = UnityEnvironment(base_port = 5004, side_channels = [channel])
+env = UnityEnvironment(base_port = UnityEnvironment.DEFAULT_EDITOR_PORT, side_channels = [channel])
 
 channel.set_configuration_parameters(time_scale = 2.0)
 
 
 channel = FloatPropertiesChannel()
 
-env = UnityEnvironment(base_port = 5004, side_channels = [channel])
+env = UnityEnvironment(base_port = UnityEnvironment.DEFAULT_EDITOR_PORT, side_channels = [channel])
 
 channel.set_property("parameter_1", 2.0)
 

ml-agents-envs/mlagents_envs/environment.py

     SCALAR_ACTION_TYPES = (int, np.int32, np.int64, float, np.float32, np.float64)
     SINGLE_BRAIN_ACTION_TYPES = SCALAR_ACTION_TYPES + (list, np.ndarray)
     API_VERSION = "API-15-dev0"
+    DEFAULT_EDITOR_PORT = 5004
 
     def __init__(
         self,

ml-agents/mlagents/trainers/learn.py

     StatsReporter.add_writer(csv_writer)
 
     if options.env_path is None:
-        port = 5004  # This is the in Editor Training Port
+        port = UnityEnvironment.DEFAULT_EDITOR_PORT
     env_factory = create_environment_factory(
         options.env_path,
         options.docker_target_name,

notebooks/getting-started.ipynb

    "outputs": [],
    "source": [
     "engine_configuration_channel = EngineConfigurationChannel()\n",
-    "env = UnityEnvironment(base_port = 5004, file_name=env_name, side_channels = [engine_configuration_channel])\n",
+    "env = UnityEnvironment(base_port = UnityEnvironment.DEFAULT_EDITOR_PORT, file_name=env_name, side_channels = [engine_configuration_channel])\n",
     "\n",
     "#Reset the environment\n",
     "env.reset()\n",